Split (1)

train · 432k rows

sql stringlengths 6 1.05M
-- -- Create tables for a Jinaga database -- -- Before executing, be sure you have created the database and the dev role. -- -- CREATE DATABASE myapplication; -- \connect myapplication -- -- CREATE USER dev WITH -- LOGIN -- ENCRYPTED PASSWORD '<PASSWORD>' -- NOSUPERUSER -- INHERIT -- NOCREATEDB -- NOCREATEROLE -- NOREPLICATION -- VALID UNTIL 'infinity'; -- DO $do$ BEGIN -- -- Edge -- IF (SELECT to_regclass('public.edge') IS NULL) THEN CREATE TABLE public.edge ( successor_type character varying(50), successor_hash character varying(100), predecessor_type character varying(50), predecessor_hash character varying(100), role character varying(20) ); ALTER TABLE public.edge OWNER TO postgres; -- Most unique first, for fastest uniqueness check on insert. CREATE UNIQUE INDEX ux_edge ON public.edge USING btree (successor_hash, predecessor_hash, role, successor_type, predecessor_type); -- Covering index based on successor, favoring most likely members of WHERE clause. CREATE INDEX ix_successor ON public.edge USING btree (successor_hash, role, successor_type, predecessor_hash, predecessor_type); -- Covering index based on predecessor, favoring most likely members of WHERE clause. CREATE INDEX ix_predecessor ON public.edge USING btree (predecessor_hash, role, predecessor_type, successor_hash, successor_type); GRANT SELECT,INSERT ON TABLE public.edge TO dev; END IF; -- -- Fact -- IF (SELECT to_regclass('public.fact') IS NULL) THEN CREATE TABLE public.fact ( type character varying(50), hash character varying(100), fields jsonb, predecessors jsonb, date_learned timestamp NOT NULL DEFAULT (now() at time zone 'utc') ); ALTER TABLE public.fact OWNER TO postgres; CREATE UNIQUE INDEX ux_fact ON public.fact USING btree (hash, type); GRANT SELECT,INSERT ON TABLE public.fact TO dev; ELSE IF NOT EXISTS (SELECT 1 FROM information_schema.columns WHERE table_schema='public' AND table_name='fact' AND column_name='date_learned') THEN ALTER TABLE public.fact ADD date_learned timestamp NOT NULL DEFAULT (now() at time zone 'utc'); END IF; END IF; -- -- User -- IF (SELECT to_regclass('public.user') IS NULL) THEN CREATE TABLE public."user" ( provider character varying(100), user_id character varying(50), private_key character varying(1800), public_key character varying(500) ); ALTER TABLE public."user" OWNER TO postgres; CREATE UNIQUE INDEX ux_user ON public."user" USING btree (user_id, provider); CREATE UNIQUE INDEX ux_user_public_key ON public."user" (public_key); GRANT SELECT,INSERT ON TABLE public."user" TO dev; ELSE IF NOT EXISTS (SELECT 1 FROM information_schema.columns WHERE table_schema='public' AND table_name='user' AND column_name='public_key' AND character_maximum_length >= 500) THEN ALTER TABLE public.user ALTER COLUMN public_key TYPE character varying(500); END IF; IF NOT EXISTS (SELECT 1 FROM information_schema.columns WHERE table_schema='public' AND table_name='user' AND column_name='private_key' AND character_maximum_length >= 1800) THEN ALTER TABLE public.user ALTER COLUMN private_key TYPE character varying(1800); END IF; IF (SELECT to_regclass('public.duplicate_users') IS NULL) THEN CREATE TABLE public.duplicate_users AS SELECT u.provider, u.user_id, u.public_key, u.private_key FROM public."user" AS u JOIN (SELECT public_key FROM public."user" GROUP BY public_key HAVING count(*) > 1) AS dup ON dup.public_key = u.public_key; DELETE FROM public."user" AS u WHERE EXISTS (SELECT 1 FROM public.duplicate_users AS d WHERE d.provider = u.provider AND d.user_id = u.user_id); CREATE UNIQUE INDEX IF NOT EXISTS ux_user_public_key ON public."user" (public_key); END IF; END IF; -- -- Signature -- IF (SELECT to_regclass('public.signature') IS NULL) THEN CREATE TABLE public."signature" ( type character varying(50), hash character varying(100), public_key character varying(500), signature character varying(400), date_learned timestamp NOT NULL DEFAULT (now() at time zone 'utc') ); ALTER TABLE public."signature" OWNER TO postgres; CREATE UNIQUE INDEX ux_signature ON public."signature" USING btree (hash, public_key, type); GRANT SELECT,INSERT ON TABLE public."signature" TO dev; ELSE IF NOT EXISTS (SELECT 1 FROM information_schema.columns WHERE table_schema='public' AND table_name='signature' AND column_name='public_key' AND character_maximum_length >= 500) THEN ALTER TABLE public.signature ALTER COLUMN public_key TYPE character varying(500); END IF; IF NOT EXISTS (SELECT 1 FROM information_schema.columns WHERE table_schema='public' AND table_name='signature' AND column_name='signature' AND character_maximum_length >= 400) THEN ALTER TABLE public.signature ALTER COLUMN signature TYPE character varying(400); END IF; END IF; END $do$
<filename>articulatelogic.sql /!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 /; /!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' /; CREATE DATABASE IF NOT EXISTS `articulatelogic_db` DEFAULT CHARACTER SET utf8 COLLATE utf8_general_ci; USE `articulatelogic_db`; /!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT /; /!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS /; /!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION /; /!40101 SET NAMES utf8 /; /!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE /; /!40103 SET TIME_ZONE='+00:00' /; /!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 /; /!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 /; /!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' /; /!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 /; -- -- Table structure for table `articles` -- DROP TABLE IF EXISTS `articles`; /!40101 SET @saved_cs_client = @@character_set_client /; /!40101 SET character_set_client = utf8 /; CREATE TABLE `articles` ( `id` int(11) NOT NULL AUTO_INCREMENT, `uid` int(11) NOT NULL, `category_id` int(11) NOT NULL, `url` varchar(250) NOT NULL, `title` varchar(250) NOT NULL, `subtitle` varchar(500) NOT NULL, `body` mediumtext, `remarks` varchar(500) NOT NULL, `meta_tags` varchar(200) NOT NULL, `privacy` int(11) NOT NULL, `atype` int(11) NOT NULL, `date_inserted` datetime NOT NULL, `date_updated` datetime NOT NULL, `state` int(11) NOT NULL, PRIMARY KEY (`id`), UNIQUE KEY `em_index` (`url`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8; /!40101 SET character_set_client = @saved_cs_client /; -- -- Dumping data for table `articles` -- LOCK TABLES `articles` WRITE; /!40000 ALTER TABLE `articles` DISABLE KEYS /; INSERT INTO `articles` VALUES (1,1,1,'home','ArticulateCMS','an Open Source Content Management System platform for publishing text contents','<p style=\\\"text-align: justify; width: auto;\\\">ArticulateCMS is a simple text-based Open Source Content Management System platform powered by ArticulatePHP framework and MySQL database engine in Model-View-Controller (MVC) web development architecture.</p>\r\n<p style=\\\"text-align: justify; width: auto;\\\">It\\\'s main components are Smarty - a template engine, PHP Data Objects (PDO) extension to manage the MySQL database connection, JQuery for JavaScript functionalities, and FCKeditor - the WYSIWYG content editing tool. It supports page caching, publishing of blogs, articles, and searching for contents. It is designed to be simple, robust, flexible, scalable, portable, secured and search engine optimized witha rich PHP function and class library.</p>\r\n<div style=\\\"width: 98%;\\\">\r\n<h3>System Requirements</h3>\r\n<div>\r\n<ul>\r\n <ul>\r\n <li>Windows/Linux/MAC Operating System Server</li>\r\n </ul>\r\n <ul>\r\n <li>PHP 5.0 or higher</li>\r\n </ul>\r\n <ul>\r\n <li>MySQL Sever(default)</li>\r\n </ul>\r\n <ul>\r\n <li>All modern Web browsers with JavaScript support enabled</li>\r\n </ul>\r\n</ul>\r\n</div>\r\n<h3>Features</h3>\r\n<p><strong>Document management: </strong><br />\r\nIt can provide a means of managing the life cycle of a document from initial creation time, through revisions, publication and document destruction.<br />\r\n<br />\r\n<strong>Workflow management:</strong><br />\r\nWorkflow is the process of creating cycles of sequential and parallel tasks that must be accomplished in the CMS. ArticulateCMS has an admin panel that takes care of the work flow management.<br />\r\n<br />\r\n<strong>Web standards upgrades:</strong></p>\r\n<p>Each individual component can be updated regularly that include new feature sets and keep the system up to current web standards.</p>\r\n<p><strong>Scalable feature sets:</strong><br />\r\nPlug-ins or modules can be easily installed to extend an existing site\\\'s functionality.</p>\r\n<p><strong>Easily editable content:</strong><br />\r\nContent is separate from the visual presentation, and so it is easier and quicker to edit and manipulate. It includes a WYSIWYG editing tool, FCK editor allowing non-technical individuals to create and edit content.</p>\r\n<p><strong>Versatile database support: </strong><br />\r\nArticulateCMS supports the use of any database engine by virtue of the use of PDO extension. For example, SQLite, Oracle etc.</p>\r\n<p><strong>Search Engine optimized URL:</strong><br />\r\nAll URLs in ArticulateCMS are search engine optimized.</p>\r\n</div>','ArticulateCMS is a simple text-based Open Source Content Management System platform powered by ArticulatePHP framework and MySQL database engine','Articulate CMS, Content Management System, platform , publishing, text, contents, search engine optimization,pdo, seo, php framework, mysql, simple design, admin panel, secured, user friendly, caching',0,0,'2010-03-11 04:33:30','2010-03-11 04:34:19',0),(2,1,1,'lorem_Ipsum','Lorem Ipsum','','<p>Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.</p>\r\n<p>Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.</p>\r\n<p>Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.</p>\r\n<p>Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.</p>\r\n<p>Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.</p>\r\n<p>Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.</p>','','',0,0,'2010-03-11 04:36:04','2010-03-11 04:36:04',0); /!40000 ALTER TABLE `articles` ENABLE KEYS /; UNLOCK TABLES; -- -- Table structure for table `categories` -- DROP TABLE IF EXISTS `categories`; /!40101 SET @saved_cs_client = @@character_set_client /; /!40101 SET character_set_client = utf8 /; CREATE TABLE `categories` ( `id` int(11) NOT NULL AUTO_INCREMENT, `catname` varchar(50) NOT NULL, `mtype` int(11) NOT NULL, `date_inserted` datetime NOT NULL, `date_updated` datetime NOT NULL, `state` int(11) NOT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8; /!40101 SET character_set_client = @saved_cs_client /; -- -- Dumping data for table `categories` -- LOCK TABLES `categories` WRITE; /!40000 ALTER TABLE `categories` DISABLE KEYS /; INSERT INTO `categories` VALUES (1,'Page',1,'2010-03-11 04:32:01','2010-03-11 04:32:27',0); /!40000 ALTER TABLE `categories` ENABLE KEYS /; UNLOCK TABLES; -- -- Table structure for table `files` -- DROP TABLE IF EXISTS `files`; /!40101 SET @saved_cs_client = @@character_set_client /; /!40101 SET character_set_client = utf8 /; CREATE TABLE `files` ( `id` int(11) NOT NULL AUTO_INCREMENT, `uid` int(11) NOT NULL, `category_id` int(11) NOT NULL, `name` varchar(512) NOT NULL, `path` varchar(512) NOT NULL, `ftype` varchar(32) NOT NULL, `mtype` varchar(64) NOT NULL, `tags` varchar(128) NOT NULL, `date_inserted` datetime NOT NULL, `date_updated` datetime NOT NULL, `state` int(11) NOT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8; /!40101 SET character_set_client = @saved_cs_client /; -- -- Dumping data for table `files` -- LOCK TABLES `files` WRITE; /!40000 ALTER TABLE `files` DISABLE KEYS /; /!40000 ALTER TABLE `files` ENABLE KEYS /; UNLOCK TABLES; -- -- Table structure for table `users` -- DROP TABLE IF EXISTS `users`; /!40101 SET @saved_cs_client = @@character_set_client /; /!40101 SET character_set_client = utf8 /; CREATE TABLE `users` ( `id` int(11) NOT NULL AUTO_INCREMENT, `email` varchar(50) NOT NULL, `pass` varchar(20) DEFAULT NULL, `firstname` varchar(50) DEFAULT NULL, `lastname` varchar(50) DEFAULT NULL, `gender` char(1) DEFAULT NULL, `date_ofbirth` date DEFAULT NULL, `validator` varchar(42) DEFAULT NULL, `utype` int(11) NOT NULL, `ustatus` int(11) NOT NULL, `date_lastlogin` datetime DEFAULT NULL, `date_inserted` datetime DEFAULT NULL, `date_updated` datetime DEFAULT NULL, `state` int(11) NOT NULL, PRIMARY KEY (`id`), UNIQUE KEY `em_index` (`email`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8; /!40101 SET character_set_client = @saved_cs_client /; -- -- Dumping data for table `users` -- LOCK TABLES `users` WRITE; /!40000 ALTER TABLE `users` DISABLE KEYS /; INSERT INTO `users` VALUES (1,'admin','admin','admin','user','m','2010-03-01','632667547e7cd3e0466547863e1207a8c0c0c549',1,1,'2016-01-04 15:27:46','2010-03-11 04:22:24','2010-03-11 04:22:24',0); /!40000 ALTER TABLE `users` ENABLE KEYS /; UNLOCK TABLES; /!40103 SET TIME_ZONE=@OLD_TIME_ZONE /; /!40101 SET SQL_MODE=@OLD_SQL_MODE /; /!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS /; /!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS /; /!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT /; /!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS /; /!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION /; /!40111 SET SQL_NOTES=@OLD_SQL_NOTES /;
CREATE TABLE USERS( id serial PRIMARY KEY, email VARCHAR ( 50 ), password <PASSWORD>, first_name TEXT, last_name TEXT, profile_pic TEXT ); CREATE TABLE CALENDAR( id serial PRIMARY KEY, cal_id integer REFERENCES USERS(id), reminder TEXT, team_name TEXT, DATE DATE, HOUR TIME without TIME zone, ) CREATE TABLE FEED( id serial PRIMARY KEY, users_id integer REFERENCES USERS(id), content VARCHAR ( 250 ), image_url TEXT, created_at timestamp );
-- phpMyAdmin SQL Dump -- version 5.1.0 -- https://www.phpmyadmin.net/ -- -- Host: 127.0.0.1 -- Generation Time: Jun 02, 2021 at 10:07 AM -- Server version: 10.4.19-MariaDB -- PHP Version: 7.3.28 SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO"; START TRANSACTION; SET time_zone = "+00:00"; /!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT /; /!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS /; /!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION /; /!40101 SET NAMES utf8mb4 /; -- -- Database: `u591963919_TrackFilesDB` -- -- -------------------------------------------------------- -- -- Table structure for table `general_announcement` -- CREATE TABLE `general_announcement` ( `id` int(11) NOT NULL, `message_title` varchar(255) NOT NULL, `message_body` mediumtext NOT NULL, `sender` varchar(255) NOT NULL, `date` timestamp NOT NULL DEFAULT current_timestamp() ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data for table `general_announcement` -- INSERT INTO `general_announcement` (`id`, `message_title`, `message_body`, `sender`, `date`) VALUES (1, 'Easter Break !!', 'There would be an Easter break on 29th April 2021', 'Peter', '2021-04-13 01:27:06'), (2, 'Christmas Break', 'There would be a general christmas break on 20th December, this year', 'priscilla', '2021-05-08 22:19:45'); -- -------------------------------------------------------- -- -- Table structure for table `public_messages` -- CREATE TABLE `public_messages` ( `Msg_ID` int(11) NOT NULL, `Sender` tinytext NOT NULL, `Message` longtext NOT NULL, `date` timestamp NOT NULL DEFAULT current_timestamp() ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data for table `public_messages` -- INSERT INTO `public_messages` (`Msg_ID`, `Sender`, `Message`, `date`) VALUES (1, 'Alex', 'Alex is here', '2021-04-13 01:26:02'), (2, 'Peter', '<NAME>', '2021-05-04 00:25:39'), (3, 'priscilla', 'priscilla is also here', '2017-05-05 22:37:05'), (4, 'priscilla', '<NAME>', '2021-05-08 22:37:15'); -- -------------------------------------------------------- -- -- Table structure for table `tbl_general_uploads` -- CREATE TABLE `tbl_general_uploads` ( `id` int(11) NOT NULL, `file_name` varchar(100) NOT NULL, `file_type` varchar(100) NOT NULL, `file_size` varchar(100) NOT NULL, `file_path` varchar(200) NOT NULL, `date` timestamp NOT NULL DEFAULT current_timestamp() ) ENGINE=InnoDB DEFAULT CHARSET=latin1 ROW_FORMAT=COMPACT; -- -- Dumping data for table `tbl_general_uploads` -- INSERT INTO `tbl_general_uploads` (`id`, `file_name`, `file_type`, `file_size`, `file_path`, `date`) VALUES (1, '1.HowtoImproveBathroomVentilationProblems.docx', 'application/vnd.openxmlformats-officedocument.wordprocessingml.document', '12280', 'uploads/1.HowtoImproveBathroomVentilationProblems.docx', '2021-05-31 19:03:28'); -- -------------------------------------------------------- -- -- Table structure for table `users_online` -- CREATE TABLE `users_online` ( `ID` int(11) NOT NULL, `first_name` varchar(255) NOT NULL, `last_name` varchar(255) NOT NULL, `status` varchar(100) NOT NULL, `Time` timestamp NOT NULL DEFAULT current_timestamp() ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data for table `users_online` -- INSERT INTO `users_online` (`ID`, `first_name`, `last_name`, `status`, `Time`) VALUES (1, 'alex', 'Asciencio', 'online', '2021-05-31 15:10:30'), (2, 'Track1234', 'Admin', 'online', '2021-06-02 07:46:18'); -- -------------------------------------------------------- -- -- Table structure for table `users_security_keys` -- CREATE TABLE `users_security_keys` ( `id` int(11) NOT NULL, `password` varchar(255) NOT NULL, `users_fname` varchar(255) NOT NULL, `users_lname` varchar(255) NOT NULL, `status` varchar(100) NOT NULL DEFAULT 'not_used' ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data for table `users_security_keys` -- INSERT INTO `users_security_keys` (`id`, `password`, `users_fname`, `users_lname`, `status`) VALUES (1, '0688D', 'Alex', 'Asci<PASSWORD>', 'used'), (3, '0661', 'priscilla', 'appah', 'used'); -- -------------------------------------------------------- -- -- Table structure for table `users_table` -- CREATE TABLE `users_table` ( `Users_ID` int(11) NOT NULL, `user_fname` varchar(255) NOT NULL, `user_lname` varchar(255) NOT NULL, `Password` varchar(255) NOT NULL, `department` varchar(255) NOT NULL, `position` varchar(255) NOT NULL, `Profile_Picture` varchar(255) NOT NULL, `date` timestamp NOT NULL DEFAULT current_timestamp() ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data for table `users_table` -- INSERT INTO `users_table` (`Users_ID`, `user_fname`, `user_lname`, `Password`, `department`, `position`, `Profile_Picture`, `date`) VALUES (1, 'Track1234', 'Admin', 'Track@1234', 'Administrator', 'Administrator', 'IMG_100887.jpg', '2021-04-13 01:24:56'), (4, 'Alex', 'Asciencio', '1234', '', '', '', '2021-05-31 15:10:02'), (5, 'Daniel', 'Memba', '1234', '', '', '', '2021-05-31 21:28:29'); -- -- Table structure for table `uploaded_files` -- CREATE TABLE `uploaded_files` ( `id` int(11) NOT NULL, `name` varchar(255) NOT NULL, `new_name` varchar(255) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Dumping data for table `uploaded_files` -- INSERT INTO `uploaded_files` (`id`, `name`, `new_name`) VALUES (1, 'text-animation.zip', '2711201606481769text-animation.zip'), (2, 'TL.png', '2711201606481879TL.png'), (3, 'TL.png', '2711201606482588TL.png'), (4, 'TL.png', '2711201606482604TL.png'), (5, 'TL.png', '2711201606482636TL.png'), (6, 'text-animation.zip', '2711201606483139text-animation.zip'); -- -- Indexes for dumped tables -- -- -- Indexes for table `general_announcement` -- ALTER TABLE `general_announcement` ADD PRIMARY KEY (`id`); -- -- Indexes for table `public_messages` -- ALTER TABLE `public_messages` ADD PRIMARY KEY (`Msg_ID`); -- -- Indexes for table `tbl_general_uploads` -- ALTER TABLE `tbl_general_uploads` ADD PRIMARY KEY (`id`); -- -- Indexes for table `users_online` -- ALTER TABLE `users_online` ADD PRIMARY KEY (`ID`); -- -- Indexes for table `users_security_keys` -- ALTER TABLE `users_security_keys` ADD PRIMARY KEY (`id`); -- -- Indexes for table `users_table` -- ALTER TABLE `users_table` ADD PRIMARY KEY (`Users_ID`); -- -- Indexes for table `uploaded_files` -- ALTER TABLE `uploaded_files` ADD PRIMARY KEY (`id`); -- -- AUTO_INCREMENT for dumped tables -- -- -- AUTO_INCREMENT for table `general_announcement` -- ALTER TABLE `general_announcement` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3; -- -- AUTO_INCREMENT for table `public_messages` -- ALTER TABLE `public_messages` MODIFY `Msg_ID` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5; -- -- AUTO_INCREMENT for table `tbl_general_uploads` -- ALTER TABLE `tbl_general_uploads` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2; -- -- AUTO_INCREMENT for table `users_online` -- ALTER TABLE `users_online` MODIFY `ID` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4; -- -- AUTO_INCREMENT for table `users_security_keys` -- ALTER TABLE `users_security_keys` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4; -- -- AUTO_INCREMENT for table `users_table` -- ALTER TABLE `users_table` MODIFY `Users_ID` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6; COMMIT; -- -- AUTO_INCREMENT for table `uploaded_files` -- ALTER TABLE `uploaded_files` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7; COMMIT; /!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT /; /!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS /; /!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION /;
<reponame>fylerx/fyler CREATE TABLE projects ( id BIGSERIAL PRIMARY KEY, name TEXT NOT NULL UNIQUE, api_key TEXT NOT NULL UNIQUE, callback_url TEXT NOT NULL, created_at TIMESTAMP WITH TIME ZONE NOT NULL, updated_at TIMESTAMP WITH TIME ZONE );
<reponame>vithuson-vasudevan/PHP-MovieDatabase<gh_stars>0 set search_path="GroupAssign"; --Movies can have multiple roles --Roles(Characters) can belong to multiple movies --Regarding requirement number 3, what we should have are users that have the ability to --administrate the system, and actual users of the system --There we'll have two tables for users, one that's an admin and one that's a customer --Maybe profile will determine whether the user is admin or not... CREATE TABLE Users ( UserID VARCHAR(20) PRIMARY KEY, password VARCHAR(20), lastname VARCHAR(20), firstname VARCHAR(20), email VARCHAR(20), city VARCHAR(20), province VARCHAR(20), country VARCHAR(20) ); --? --Should we set up specific age ranges? CREATE TABLE AgeRange ( AgeCategory VARCHAR(15) PRIMARY KEY, LowerLimit INTEGER UNIQUE, UpperLimit INTEGER UNIQUE, CHECK(UpperLimit > LowerLimit OR (LowerLimit=null AND UpperLimit<>NULL) OR (LowerLimit<>null AND UpperLimit=NULL)) ); --not sure about the device-used attribute and whether we really need it or not CREATE TABLE Profile ( UserID VARCHAR(20) PRIMARY KEY, AgeCategory VARCHAR(15), Birthyear INTEGER, Gender CHAR(6), Occupation VARCHAR(20), FOREIGN KEY (UserID) REFERENCES Users, FOREIGN KEY (AgeCategory) REFERENCES AgeRange, CHECK (Gender IN('Male','Female')) ); CREATE TABLE Topics ( TopicID INTEGER PRIMARY KEY, Descirption TEXT --TEXT is supposed to be text of variable unlimited length --http://www.postgresql.org/docs/9.5/static/datatype-character.html ); CREATE TABLE Movie ( MovieID VARCHAR(20) PRIMARY KEY UNIQUE, Name VARCHAR(20), Releasedate DATE, --the mpaa rating is the rating given by the MPAA MPAARating VARCHAR(5), Description TEXT, --the TrailerLink TEXT ); --relation between user and a movie CREATE TABLE Watches ( UserID VARCHAR(20), MovieID VARCHAR(20), WatchDate DATE, Rating INTEGER, PRIMARY KEY(UserID, MovieID), FOREIGN KEY(UserID) REFERENCES Users, FOREIGN KEY(MovieID) REFERENCES Movie, CHECK (RATING > 0 AND RATING < 6) ); --relation between movie and topic CREATE TABLE MovieTopics ( TopicID INTEGER, MovieID VARCHAR(20), Language VARCHAR(20), Subtitles CHAR(1), Country VARCHAR(20), PRIMARY KEY (TopicID, MovieID), FOREIGN KEY (TopicID) REFERENCES Topics, FOREIGN KEY (MovieID) REFERENCES Movie, CHECK (Subtitles IN('y','n')) ); CREATE TABLE Actor ( ActorID VARCHAR(10) PRIMARY KEY UNIQUE, Lastname VARCHAR(20), Firstname VARCHAR(20), BirthDate DATE, Country VARCHAR(20) ); --The character that they play CREATE TABLE Role ( RoleID VARCHAR(10) PRIMARY KEY UNIQUE, Name VARCHAR(20), ActorID VARCHAR(10), MovieId VARCHAR(20), FOREIGN KEY (ActorID) REFERENCES Actor, FOREIGN KEY (MovieID) REFERENCES Movie ); CREATE TABLE ActorStars ( MovieID VARCHAR(20), ActorID VARCHAR(10), PRIMARY KEY(MovieID, ActorID), FOREIGN KEY (ActorID) REFERENCES Actor, FOREIGN KEY (MovieID) REFERENCES Movie ); CREATE TABLE Director ( DirectorID VARCHAR(10) PRIMARY KEY UNIQUE, Lastname VARCHAR(20), Firstname VARCHAR(20), Country VARCHAR(20) ); CREATE TABLE Directs ( MovieID VARCHAR(20), DirectorID VARCHAR(10), PRIMARY KEY(MovieID, DirectorID), FOREIGN KEY (MovieID) REFERENCES Movie, FOREIGN KEY (DirectorID) REFERENCES Director ); CREATE TABLE Studio ( StudioID VARCHAR(10) PRIMARY KEY UNIQUE, Name VARCHAR(20), Country VARCHAR(20) ); CREATE TABLE Sponsors ( StudioID VARCHAR(10), MovieID VARCHAR(20), PRIMARY KEY(MovieID, StudioID), FOREIGN KEY (StudioID) REFERENCES Studio, FOREIGN KEY (MovieID) REFERENCES Movie );
<gh_stars>0 select sum(1) over w sum1, sum(5) over w sum5, sum(10) over w sum10 from j1_v where c_date is not null window w as (partition by c_date);
alter table ref_hm_pcode_objecttype add constraint ref_hm_pcode_objecttype_fk1 foreign key (hm_pcode) references ref_hm_pcode(hm_pcode); alter table ref_hm_pcode_objecttype add constraint ref_hm_pcode_objecttype_fk2 foreign key (objecttype_id) references hdb_objecttype(objecttype_id);
CREATE TABLE customer ( id VARCHAR(8) PRIMARY KEY, name VARCHAR(255) NOT NULL, address VARCHAR(500) NOT NULL ); CREATE TABLE item ( code VARCHAR(10) PRIMARY KEY, description VARCHAR(100) NOT NULL, unit_price DECIMAL NOT NULL, qty_on_hand INT NOT NULL );
EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2017-09-30',@EPS = N'-0.458',@EPSDeduct = N'0',@Revenue = N'41.90亿',@RevenueYoy = N'17.35',@RevenueQoq = N'20.98',@Profit = N'-5.01亿',@ProfitYoy = N'-619.61',@ProfiltQoq = N'42.31',@NAVPerUnit = N'-0.3945',@ROE = N'-281.16',@CashPerUnit = N'-0.3133',@GrossProfitRate = N'14.73',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2017-10-28' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2017-06-30',@EPS = N'-0.309',@EPSDeduct = N'-0.325',@Revenue = N'25.80亿',@RevenueYoy = N'10.19',@RevenueQoq = N'6.59',@Profit = N'-3.37亿',@ProfitYoy = N'-671.87',@ProfiltQoq = N'-431.10',@NAVPerUnit = N'-0.2345',@ROE = N'-350.14',@CashPerUnit = N'-0.6345',@GrossProfitRate = N'15.83',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2017-08-24' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2017-09-30',@EPS = N'-0.458',@EPSDeduct = N'0',@Revenue = N'41.90亿',@RevenueYoy = N'17.35',@RevenueQoq = N'20.98',@Profit = N'-5.01亿',@ProfitYoy = N'-619.61',@ProfiltQoq = N'42.31',@NAVPerUnit = N'-0.3945',@ROE = N'-281.16',@CashPerUnit = N'-0.3133',@GrossProfitRate = N'14.73',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2017-10-28' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2016-09-30',@EPS = N'-0.064',@EPSDeduct = N'0',@Revenue = N'35.70亿',@RevenueYoy = N'7.37',@RevenueQoq = N'-2.34',@Profit = N'-6959.18万',@ProfitYoy = N'-1467.84',@ProfiltQoq = N'23.12',@NAVPerUnit = N'0.1904',@ROE = N'-30.50',@CashPerUnit = N'-0.0725',@GrossProfitRate = N'16.19',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2017-10-28' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2017-03-31',@EPS = N'-0.049',@EPSDeduct = N'0',@Revenue = N'12.49亿',@RevenueYoy = N'15.35',@RevenueQoq = N'1.41',@Profit = N'-5341.86万',@ProfitYoy = N'-436.04',@ProfiltQoq = N'61.52',@NAVPerUnit = N'0.0240',@ROE = N'-117.22',@CashPerUnit = N'0.0062',@GrossProfitRate = N'15.63',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2017-04-29' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2016-03-31',@EPS = N'-0.009',@EPSDeduct = N'0',@Revenue = N'10.82亿',@RevenueYoy = N'-19.30',@RevenueQoq = N'-17.56',@Profit = N'-996.54万',@ProfitYoy = N'-1125.54',@ProfiltQoq = N'-132.50',@NAVPerUnit = N'0.2413',@ROE = N'-3.86',@CashPerUnit = N'0.0063',@GrossProfitRate = N'17.57',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2017-04-29' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2016-06-30',@EPS = N'-0.04',@EPSDeduct = N'-0.059',@Revenue = N'23.41亿',@RevenueYoy = N'3.57',@RevenueQoq = N'16.27',@Profit = N'-4367.64万',@ProfitYoy = N'-467.94',@ProfiltQoq = N'-238.28',@NAVPerUnit = N'0.2141',@ROE = N'-18.12',@CashPerUnit = N'-0.1428',@GrossProfitRate = N'15.65',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2017-08-24' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2016-12-31',@EPS = N'-0.19',@EPSDeduct = N'-0.4',@Revenue = N'48.02亿',@RevenueYoy = N'3.52',@RevenueQoq = N'0.17',@Profit = N'-2.08亿',@ProfitYoy = N'-683.03',@ProfiltQoq = N'-435.68',@NAVPerUnit = N'0.0660',@ROE = N'-124.51',@CashPerUnit = N'0.4395',@GrossProfitRate = N'14.61',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2017-03-30' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2015-12-31',@EPS = N'0.03',@EPSDeduct = N'-0.06',@Revenue = N'46.38亿',@RevenueYoy = N'-9.88',@RevenueQoq = N'23.31',@Profit = N'3574.68万',@ProfitYoy = N'125.00',@ProfiltQoq = N'552.01',@NAVPerUnit = N'0.2406',@ROE = N'13.99',@CashPerUnit = N'-0.4507',@GrossProfitRate = N'16.76',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2017-03-30' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2015-03-31',@EPS = N'0.001',@EPSDeduct = N'0',@Revenue = N'13.41亿',@RevenueYoy = N'-2.60',@RevenueQoq = N'1.85',@Profit = N'97.17万',@ProfitYoy = N'-37.80',@ProfiltQoq = N'100.72',@NAVPerUnit = N'0.2339',@ROE = N'0.39',@CashPerUnit = N'-0.3424',@GrossProfitRate = N'17.81',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2016-04-28' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2015-06-30',@EPS = N'0.011',@EPSDeduct = N'-0.08',@Revenue = N'22.60亿',@RevenueYoy = N'-16.87',@RevenueQoq = N'-31.49',@Profit = N'1187.05万',@ProfitYoy = N'69.31',@ProfiltQoq = N'1021.59',@NAVPerUnit = N'0.2452',@ROE = N'4.67',@CashPerUnit = N'-0.2232',@GrossProfitRate = N'18.21',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2016-08-19' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2015-09-30',@EPS = N'0.005',@EPSDeduct = N'0',@Revenue = N'33.25亿',@RevenueYoy = N'-13.17',@RevenueQoq = N'15.87',@Profit = N'508.77万',@ProfitYoy = N'157.19',@ProfiltQoq = N'-162.23',@NAVPerUnit = N'0.2400',@ROE = N'2.03',@CashPerUnit = N'-0.2180',@GrossProfitRate = N'16.61',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2016-10-29' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2014-09-30',@EPS = N'-0.008',@EPSDeduct = N'0',@Revenue = N'38.30亿',@RevenueYoy = N'-1.54',@RevenueQoq = N'8174.24',@Profit = N'-889.59万',@ProfitYoy = N'-123.87',@ProfiltQoq = N'-29294.17',@NAVPerUnit = N'0.3578',@ROE = N'-2.23',@CashPerUnit = N'0.0734',@GrossProfitRate = N'16.58',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2015-10-24' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2014-12-31',@EPS = N'-0.13',@EPSDeduct = N'-0.15',@Revenue = N'51.47亿',@RevenueYoy = N'-9.55',@RevenueQoq = N'-98.81',@Profit = N'-1.43亿',@ProfitYoy = N'-909.20',@ProfiltQoq = N'91.57',@NAVPerUnit = N'0.2271',@ROE = N'-42.21',@CashPerUnit = N'0.4506',@GrossProfitRate = N'16.33',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2016-03-31' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2014-06-30',@EPS = N'0.006',@EPSDeduct = N'-0.003',@Revenue = N'27.19亿',@RevenueYoy = N'-4.50',@RevenueQoq = N'-2.55',@Profit = N'701.09万',@ProfitYoy = N'-79.00',@ProfiltQoq = N'248.75',@NAVPerUnit = N'0.3722',@ROE = N'1.74',@CashPerUnit = N'0.1152',@GrossProfitRate = N'15.38',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2015-08-13' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2013-12-31',@EPS = N'0.02',@EPSDeduct = N'-0.015',@Revenue = N'56.90亿',@RevenueYoy = N'12.70',@RevenueQoq = N'72.78',@Profit = N'1767.25万',@ProfitYoy = N'-22.94',@ProfiltQoq = N'-605.67',@NAVPerUnit = N'0.3696',@ROE = N'4.67',@CashPerUnit = N'0.3241',@GrossProfitRate = N'13.07',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2015-03-20' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2013-09-30',@EPS = N'0.034',@EPSDeduct = N'0.006',@Revenue = N'38.89亿',@RevenueYoy = N'14.86',@RevenueQoq = N'-32.41',@Profit = N'3726.27万',@ProfitYoy = N'113.91',@ProfiltQoq = N'-87.63',@NAVPerUnit = N'0.3727',@ROE = N'9.59',@CashPerUnit = N'0.0750',@GrossProfitRate = N'14.24',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2014-10-25' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2013-06-30',@EPS = N'0.031',@EPSDeduct = N'0.007',@Revenue = N'28.47亿',@RevenueYoy = N'25.31',@RevenueQoq = N'18.15',@Profit = N'3338.86万',@ProfitYoy = N'95.85',@ProfiltQoq = N'1419.59',@NAVPerUnit = N'0.3692',@ROE = N'8.63',@CashPerUnit = N'0.0033',@GrossProfitRate = N'13.01',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2014-08-20' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2013-03-31',@EPS = N'0.002',@EPSDeduct = N'-0.004',@Revenue = N'13.05亿',@RevenueYoy = N'25.57',@RevenueQoq = N'-21.50',@Profit = N'206.15万',@ProfitYoy = N'26.94',@ProfiltQoq = N'-62.61',@NAVPerUnit = N'0.3405',@ROE = N'0.56',@CashPerUnit = N'0.0189',@GrossProfitRate = N'12.57',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2014-04-25' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2012-12-31',@EPS = N'0.021',@EPSDeduct = N'0.005',@Revenue = N'50.49亿',@RevenueYoy = N'7.79',@RevenueQoq = N'49.26',@Profit = N'2293.31万',@ProfitYoy = N'-26.14',@ProfiltQoq = N'1382.09',@NAVPerUnit = N'0.3396',@ROE = N'6.40',@CashPerUnit = N'0.2280',@GrossProfitRate = N'12.62',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2014-03-19' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2012-06-30',@EPS = N'0.016',@EPSDeduct = N'0.01',@Revenue = N'22.72亿',@RevenueYoy = N'3.26',@RevenueQoq = N'18.59',@Profit = N'1704.77万',@ProfitYoy = N'-22.02',@ProfiltQoq = N'849.70',@NAVPerUnit = N'0.3332',@ROE = N'4.79',@CashPerUnit = N'-0.0417',@GrossProfitRate = N'13.04',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2013-08-16' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2012-09-30',@EPS = N'0.016',@EPSDeduct = N'0.004',@Revenue = N'33.86亿',@RevenueYoy = N'3.10',@RevenueQoq = N'-9.63',@Profit = N'1741.97万',@ProfitYoy = N'201.75',@ProfiltQoq = N'-97.59',@NAVPerUnit = N'0.3336',@ROE = N'4.90',@CashPerUnit = N'-0.0439',@GrossProfitRate = N'13.40',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2013-10-23' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2014-03-31',@EPS = N'0.001',@EPSDeduct = N'0',@Revenue = N'13.77亿',@RevenueYoy = N'5.51',@RevenueQoq = N'-23.53',@Profit = N'156.23万',@ProfitYoy = N'-24.22',@ProfiltQoq = N'107.97',@NAVPerUnit = N'0.3651',@ROE = N'0.39',@CashPerUnit = N'0.0573',@GrossProfitRate = N'14.45',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2015-04-23' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2011-12-31',@EPS = N'0.028',@EPSDeduct = N'0.02',@Revenue = N'46.84亿',@RevenueYoy = N'0.19',@RevenueQoq = N'29.10',@Profit = N'3104.81万',@ProfitYoy = N'-88.96',@ProfiltQoq = N'257.09',@NAVPerUnit = N'0.3176',@ROE = N'9.37',@CashPerUnit = N'-0.0695',@GrossProfitRate = N'11.30',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2013-03-29' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2011-09-30',@EPS = N'0.005',@EPSDeduct = N'0.001',@Revenue = N'32.84亿',@RevenueYoy = N'-1.28',@RevenueQoq = N'0.36',@Profit = N'577.28万',@ProfitYoy = N'-96.69',@ProfiltQoq = N'-626.96',@NAVPerUnit = N'0.2940',@ROE = N'1.81',@CashPerUnit = N'0.0256',@GrossProfitRate = N'12.26',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2012-10-26' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2011-06-30',@EPS = N'0.02',@EPSDeduct = N'0.017',@Revenue = N'22.00亿',@RevenueYoy = N'3.24',@RevenueQoq = N'-3.56',@Profit = N'2186.25万',@ProfitYoy = N'-87.32',@ProfiltQoq = N'-83.77',@NAVPerUnit = N'0.3090',@ROE = N'6.69',@CashPerUnit = N'0.0804',@GrossProfitRate = N'12.32',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2012-08-18' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2010-12-31',@EPS = N'0.257',@EPSDeduct = N'0.085',@Revenue = N'46.75亿',@RevenueYoy = N'13.87',@RevenueQoq = N'12.70',@Profit = N'2.81亿',@ProfitYoy = N'170.55',@ProfiltQoq = N'5044.21',@NAVPerUnit = N'0.2892',@ROE = N'159.96',@CashPerUnit = N'0.1290',@GrossProfitRate = N'12.68',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2012-04-14' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2010-09-30',@EPS = N'0.16',@EPSDeduct = N'-0.016',@Revenue = N'33.27亿',@RevenueYoy = N'0.70',@RevenueQoq = N'7.71',@Profit = N'1.75亿',@ProfitYoy = N'194.55',@ProfiltQoq = N'-88.36',@NAVPerUnit = N'0.1910',@ROE = N'141.93',@CashPerUnit = N'-0.0221',@GrossProfitRate = N'11.32',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2011-10-28' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2012-03-31',@EPS = N'0.001',@EPSDeduct = N'-0.002',@Revenue = N'10.39亿',@RevenueYoy = N'-7.20',@RevenueQoq = N'-25.73',@Profit = N'162.41万',@ProfitYoy = N'-91.37',@ProfiltQoq = N'-93.57',@NAVPerUnit = N'0.3191',@ROE = N'0.47',@CashPerUnit = N'0.0258',@GrossProfitRate = N'12.79',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2013-04-26' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2010-06-30',@EPS = N'0.158',@EPSDeduct = N'-0.013',@Revenue = N'21.31亿',@RevenueYoy = N'4.05',@RevenueQoq = N'8.78',@Profit = N'1.72亿',@ProfitYoy = N'176.05',@ProfiltQoq = N'-88.46',@NAVPerUnit = N'0.1900',@ROE = N'141.43',@CashPerUnit = N'0.0253',@GrossProfitRate = N'11.47',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2011-08-20' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2009-12-31',@EPS = N'-0.365',@EPSDeduct = N'-0.368',@Revenue = N'41.06亿',@RevenueYoy = N'28.03',@RevenueQoq = N'-27.25',@Profit = N'-3.99亿',@ProfitYoy = N'-59.74',@ProfiltQoq = N'-1185.63',@NAVPerUnit = N'0.0330',@ROE = N'-169.62',@CashPerUnit = N'-0.2529',@GrossProfitRate = N'12.19',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2011-04-27' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2009-06-30',@EPS = N'-0.208',@EPSDeduct = N'-0.188',@Revenue = N'20.48亿',@RevenueYoy = N'17.33',@RevenueQoq = N'27.90',@Profit = N'-2.27亿',@ProfitYoy = N'-372.62',@ProfiltQoq = N'62.44',@NAVPerUnit = N'0.2100',@ROE = N'-61.00',@CashPerUnit = N'0.2910',@GrossProfitRate = N'10.94',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2010-08-27' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2011-03-31',@EPS = N'0.017',@EPSDeduct = N'0.015',@Revenue = N'11.20亿',@RevenueYoy = N'9.73',@RevenueQoq = N'-16.90',@Profit = N'1880.92万',@ProfitYoy = N'-87.83',@ProfiltQoq = N'-82.39',@NAVPerUnit = N'0.3060',@ROE = N'5.78',@CashPerUnit = N'0.0813',@GrossProfitRate = N'13.32',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2012-04-28' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2009-03-31',@EPS = N'-0.136',@EPSDeduct = N'-0.137',@Revenue = N'9.66亿',@RevenueYoy = N'7.23',@RevenueQoq = N'100.84',@Profit = N'-1.49亿',@ProfitYoy = N'-338.73',@ProfiltQoq = N'51.74',@NAVPerUnit = N'0.2620',@ROE = N'-',@CashPerUnit = N'0.2423',@GrossProfitRate = N'9.74',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2010-04-30' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2009-09-30',@EPS = N'-0.169',@EPSDeduct = N'-0.172',@Revenue = N'33.04亿',@RevenueYoy = N'21.21',@RevenueQoq = N'-10.82',@Profit = N'-1.85亿',@ProfitYoy = N'-417.40',@ProfiltQoq = N'135.36',@NAVPerUnit = N'0.2290',@ROE = N'-',@CashPerUnit = N'0.1823',@GrossProfitRate = N'11.46',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2010-10-28' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2008-09-30',@EPS = N'0.053',@EPSDeduct = N'-0.118',@Revenue = N'27.26亿',@RevenueYoy = N'-4.56',@RevenueQoq = N'-12.96',@Profit = N'5815.44万',@ProfitYoy = N'76.14',@ProfiltQoq = N'-231.90',@NAVPerUnit = N'0.6800',@ROE = N'-',@CashPerUnit = N'0.2222',@GrossProfitRate = N'8.44',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2009-10-29' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2008-12-31',@EPS = N'-0.228',@EPSDeduct = N'-0.515',@Revenue = N'32.07亿',@RevenueYoy = N'-13.96',@RevenueQoq = N'-43.35',@Profit = N'-2.50亿',@ProfitYoy = N'-440.80',@ProfiltQoq = N'-1733.26',@NAVPerUnit = N'0.3980',@ROE = N'-44.52',@CashPerUnit = N'0.0901',@GrossProfitRate = N'8.86',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2010-04-30' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2010-03-31',@EPS = N'0.141',@EPSDeduct = N'-0.009',@Revenue = N'10.21亿',@RevenueYoy = N'5.66',@RevenueQoq = N'27.32',@Profit = N'1.55亿',@ProfitYoy = N'204.10',@ProfiltQoq = N'172.20',@NAVPerUnit = N'0.1740',@ROE = N'136.81',@CashPerUnit = N'0.0697',@GrossProfitRate = N'11.17',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2011-04-27' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2008-06-30',@EPS = N'0.069',@EPSDeduct = N'-0.101',@Revenue = N'18.77亿',@RevenueYoy = N'-0.49',@RevenueQoq = N'8.28',@Profit = N'7494.24万',@ProfitYoy = N'143.52',@ProfiltQoq = N'-79.54',@NAVPerUnit = N'0.6950',@ROE = N'10.38',@CashPerUnit = N'0.2511',@GrossProfitRate = N'8.65',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2009-08-20' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2008-03-31',@EPS = N'0.057',@EPSDeduct = N'-0.01',@Revenue = N'9.01亿',@RevenueYoy = N'5.87',@RevenueQoq = N'-26.47',@Profit = N'6221.44万',@ProfitYoy = N'1230.13',@ProfiltQoq = N'53.02',@NAVPerUnit = N'0.6840',@ROE = N'-',@CashPerUnit = N'-0.0633',@GrossProfitRate = N'8.63',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2009-04-29' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2007-06-30',@EPS = N'0.028',@EPSDeduct = N'0.023',@Revenue = N'18.86亿',@RevenueYoy = N'60.18',@RevenueQoq = N'-6.65',@Profit = N'3077.51万',@ProfitYoy = N'120.88',@ProfiltQoq = N'457.96',@NAVPerUnit = N'0.6150',@ROE = N'4.62',@CashPerUnit = N'0.3431',@GrossProfitRate = N'10.82',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2008-08-15' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2007-03-31',@EPS = N'0.004',@EPSDeduct = N'0',@Revenue = N'8.51亿',@RevenueYoy = N'75.22',@RevenueQoq = N'-22.29',@Profit = N'467.73万',@ProfitYoy = N'110.69',@ProfiltQoq = N'-98.24',@NAVPerUnit = N'0.5920',@ROE = N'-',@CashPerUnit = N'0.0796',@GrossProfitRate = N'11.42',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2008-04-30' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2006-12-31',@EPS = N'0.0597',@EPSDeduct = N'-0.07',@Revenue = N'27.01亿',@RevenueYoy = N'87.23',@RevenueQoq = N'89.25',@Profit = N'6528.43万',@ProfitYoy = N'108.68',@ProfiltQoq = N'598.48',@NAVPerUnit = N'0.5850',@ROE = N'14.49',@CashPerUnit = N'-0.0246',@GrossProfitRate = N'10.11',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2008-04-30' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2006-09-30',@EPS = N'-0.1837',@EPSDeduct = N'0',@Revenue = N'16.06亿',@RevenueYoy = N'51.67',@RevenueQoq = N'6.85',@Profit = N'-2.01亿',@ProfitYoy = N'13.68',@ProfiltQoq = N'48.49',@NAVPerUnit = N'0.3140',@ROE = N'-',@CashPerUnit = N'0.0408',@GrossProfitRate = N'10.12',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2007-10-30' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2007-12-31',@EPS = N'0.067',@EPSDeduct = N'0.031',@Revenue = N'37.27亿',@RevenueYoy = N'37.98',@RevenueQoq = N'43.09',@Profit = N'7324.36万',@ProfitYoy = N'12.19',@ProfiltQoq = N'1714.77',@NAVPerUnit = N'0.6270',@ROE = N'11.28',@CashPerUnit = N'0.3250',@GrossProfitRate = N'10.13',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2009-04-29' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2006-03-31',@EPS = N'0',@EPSDeduct = N'0',@Revenue = N'4.86亿',@RevenueYoy = N'70.76',@RevenueQoq = N'26.55',@Profit = N'-4377.47万',@ProfitYoy = N'43.96',@ProfiltQoq = N'91.58',@NAVPerUnit = N'0.4580',@ROE = N'-',@CashPerUnit = N'0.0227',@GrossProfitRate = N'11.34',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2007-04-27' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2006-06-30',@EPS = N'-0.135',@EPSDeduct = N'0',@Revenue = N'10.27亿',@RevenueYoy = N'53.21',@RevenueQoq = N'11.51',@Profit = N'-1.47亿',@ProfitYoy = N'23.74',@ProfiltQoq = N'-136.68',@NAVPerUnit = N'0.3630',@ROE = N'-27.78',@CashPerUnit = N'0.0569',@GrossProfitRate = N'10.38',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2007-08-24' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2005-09-30',@EPS = N'0',@EPSDeduct = N'0',@Revenue = N'10.59亿',@RevenueYoy = N'42.04',@RevenueQoq = N'0.58',@Profit = N'-2.33亿',@ProfitYoy = N'-17.85',@ProfiltQoq = N'65.86',@NAVPerUnit = N'0.9850',@ROE = N'-',@CashPerUnit = N'0.3622',@GrossProfitRate = N'8.38',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2006-10-28' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2005-12-31',@EPS = N'-0.689',@EPSDeduct = N'0',@Revenue = N'14.43亿',@RevenueYoy = N'39.81',@RevenueQoq = N'-1.17',@Profit = N'-7.53亿',@ProfitYoy = N'-95.27',@ProfiltQoq = N'-1222.87',@NAVPerUnit = N'0.4980',@ROE = N'-79.06',@CashPerUnit = N'0.1803',@GrossProfitRate = N'8.82',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2007-03-23' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2007-09-30',@EPS = N'0.03',@EPSDeduct = N'0.025',@Revenue = N'28.56亿',@RevenueYoy = N'55.78',@RevenueQoq = N'7.78',@Profit = N'3301.54万',@ProfitYoy = N'116.23',@ProfiltQoq = N'-91.42',@NAVPerUnit = N'0.6170',@ROE = N'-',@CashPerUnit = N'0.2705',@GrossProfitRate = N'9.71',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2008-10-30' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600609',@CutoffDate = N'2005-06-30',@EPS = N'-0.177',@EPSDeduct = N'0',@Revenue = N'6.70亿',@RevenueYoy = N'36.81',@RevenueQoq = N'35.74',@Profit = N'-1.93亿',@ProfitYoy = N'-120.65',@ProfiltQoq = N'-47.39',@NAVPerUnit = N'1.0230',@ROE = N'-15.69',@CashPerUnit = N'0.2215',@GrossProfitRate = N'7.81',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2006-08-25'
INSERT INTO gamin_love.geek (id ,age, email, pseudo, sexe,type_compte,ville, password) VALUES (1, 19, '<EMAIL>', 'marjorietiteculote', 'femme', 'basique', 'paris', 'titkiki69'); INSERT INTO gamin_love.geek (id, age, email, pseudo, sexe,type_compte,ville, password) VALUES (2, 26, '<EMAIL>', 'kamHot', 'femme', 'Premium++', 'Paris 15e', 'jveuduku123'); INSERT INTO gamin_love.geek (id, age, email, pseudo, sexe,type_compte,ville, password) VALUES (3, 22, '<EMAIL>', '<PASSWORD>', 'femme', 'Premium', 'Lille', 'azerty123'); INSERT INTO gamin_love.geek (id, age, email, pseudo, sexe,type_compte,ville, password) VALUES (4, 45, '<EMAIL>', 'jeanjean', 'homme', 'basique', 'Lille', 'kukulapraline'); INSERT INTO gamin_love.geek (id, age, email, pseudo, sexe,type_compte,ville, password) VALUES (5, 23, '<EMAIL>', 'twonails', 'homme', 'premium++', 'Paris', '<PASSWORD>'); INSERT INTO gamin_love.geek (id, age, email, pseudo, sexe,type_compte,ville, password) VALUES (6, 45, '<EMAIL>', 'jujulegeek', 'homme', 'basique', 'Nantes', '<PASSWORD>'); INSERT INTO gamin_love.event (id, lieu, nom, date) VALUES (1, 'Paris', 'Paris Game Lover', '2020-02-21'); INSERT INTO gamin_love.event (id, lieu, nom, date) VALUES (2, 'Lille', 'Christmas Lover Geek', '2020-05-01'); INSERT INTO gamin_love.event (id, lieu, nom, date) VALUES (3, 'Nantes', 'Summer Geek Love', '2020-11-19'); INSERT INTO gamin_love.action(id, type_action, geek_cible_id, geek_action_id) VALUES (1, 'like', 1, 4); INSERT INTO gamin_love.action(id, type_action, geek_cible_id, geek_action_id) VALUES (2, 'superlike', 4, 1); INSERT INTO gamin_love.action(id, type_action, geek_cible_id, geek_action_id) VALUES (3, 'like', 6, 3); INSERT INTO gamin_love.coop(id, geek_cible_id, geek_coop_id) VALUES (1, 4, 1); INSERT INTO gamin_love.event_geek_participant(event_id, geek_participant_id) VALUES(2, 2); INSERT INTO gamin_love.event_geek_participant(event_id, geek_participant_id) VALUES(2, 5); INSERT INTO gamin_love.geek_jeux(geek_jeux_id, jeux_id) VALUES(1,145); INSERT INTO gamin_love.geek_jeux(geek_jeux_id, jeux_id) VALUES(4,34); INSERT INTO gamin_love.geek_jeux(geek_jeux_id, jeux_id) VALUES(4,38); INSERT INTO gamin_love.geek_jeux(geek_jeux_id, jeux_id) VALUES(4,394); INSERT INTO gamin_love.mp(id, message, geek_cible_id, geekmp_id) VALUES(1, 'Depuis que je t ai vu je ne dors plus la nuit', 4, 1); INSERT INTO gamin_love.geek_mp(geek_id, mp_id) VALUES (1, 1); INSERT INTO gamin_love.photo(id, url, geek_photo_id) VALUES(1, 'https://www.babelio.com/users/AVT_Marjorie-Levasseur_1107.jpg',1); INSERT INTO gamin_love.photo(id, url, geek_photo_id) VALUES(2, 'https://gal.img.pmdstatic.net/fit/http.3A.2F.2Fprd2-bone-image.jpg',2); INSERT INTO gamin_love.photo(id, url, geek_photo_id) VALUES(3, 'https://cache.magicmaman.com/data/photo/w1000_ci/5g/lucie-lucas-maman-beaute.jpg',3); INSERT INTO gamin_love.photo(id, url, geek_photo_id) VALUES(4, 'https://www.jecontacte.org/v5/n/o/n/vbth/3226684913_1554990673.jpg',4); INSERT INTO gamin_love.photo(id, url, geek_photo_id) VALUES(5, 'https://www.leparisien.fr/resizer/ecoe-ebpQ1cC3YlJS5S_cFVUtd8=/932x582/.jpg',5); INSERT INTO gamin_love.photo(id, url, geek_photo_id) VALUES(6, 'https://math.univ-lille1.fr/~hauseux/img/photo.jpg',6);
ALTER TABLE `crm_customer` ADD `source` varchar(20) NOT NULL AFTER `relation`; ALTER TABLE `crm_customer` ADD `sourceNote` varchar(255) NOT NULL AFTER `source`; ALTER TABLE `cash_trade` ADD `project` mediumint(8) unsigned NOT NULL AFTER `contract`; ALTER TABLE `cash_trade` ADD `deadline` date NOT NULL AFTER `date`; ALTER TABLE `cash_trade` CHANGE `exchangeRate` `exchangeRate` decimal(12,4) NOT NULL DEFAULT 1; ALTER TABLE `oa_refund` ADD `customer` mediumint(8) unsigned NOT NULL AFTER `id`; ALTER TABLE `oa_refund` ADD `order` mediumint(8) unsigned NOT NULL AFTER `customer`; ALTER TABLE `oa_refund` ADD `contract` mediumint(8) unsigned NOT NULL AFTER `order`; ALTER TABLE `oa_refund` ADD `project` mediumint(8) unsigned NOT NULL AFTER `contract`; ALTER TABLE `sys_product` CHANGE `line` `line` varchar(60) NOT NULL; UPDATE `cash_trade` SET `exchangeRate` = 1 WHERE `currency` = (SELECT `value` FROM `sys_config` WHERE `owner` = 'system' AND `app` = 'sys' AND `module` = 'setting' AND `key` = 'mainCurrency'); UPDATE `sys_product` SET `line` = '' WHERE `line` = 'default';
<reponame>EL-BID/nexso<filename>VS2013_PROJECT/DNN_DB/dbo/Stored Procedures/dnn_UpdateTabSetting.sql CREATE PROCEDURE [dbo].[dnn_UpdateTabSetting] @TabID INT, @SettingName NVARCHAR(50), @SettingValue NVARCHAR(2000), @LastModifiedByUserID INT AS UPDATE dbo.dnn_TabSettings SET SettingValue = @SettingValue, LastModifiedByUserID = @LastModifiedByUserID, LastModifiedOnDate = GETDATE() WHERE TabID = @TabID AND SettingName = @SettingName
CREATE SCHEMA `upaas-uauth-server` DEFAULT CHARACTER SET utf8 ; CREATE TABLE `upaas-uauth-server`.`sensitivewords` ( `uid` INT NOT NULL AUTO_INCREMENT, `keyword` VARCHAR(100) NULL, `level` INT NULL, `disabled` INT NULL, PRIMARY KEY (`uid`));
<reponame>liweiyap/LeetCode_Solutions<filename>Database/1179_ReformatDepartmentTable/Solution.sql # Runtime: 583 ms, faster than 41.75% of MySQL online submissions for Reformat Department Table. # Memory Usage: 0B, less than 100.00% of MySQL online submissions for Reformat Department Table. SELECT id, SUM(CASE WHEN month = 'Jan' THEN revenue END) AS Jan_Revenue, SUM(CASE WHEN month = 'Feb' THEN revenue END) AS Feb_Revenue, SUM(CASE WHEN month = 'Mar' THEN revenue END) AS Mar_Revenue, SUM(CASE WHEN month = 'Apr' THEN revenue END) AS Apr_Revenue, SUM(CASE WHEN month = 'May' THEN revenue END) AS May_Revenue, SUM(CASE WHEN month = 'Jun' THEN revenue END) AS Jun_Revenue, SUM(CASE WHEN month = 'Jul' THEN revenue END) AS Jul_Revenue, SUM(CASE WHEN month = 'Aug' THEN revenue END) AS Aug_Revenue, SUM(CASE WHEN month = 'Sep' THEN revenue END) AS Sep_Revenue, SUM(CASE WHEN month = 'Oct' THEN revenue END) AS Oct_Revenue, SUM(CASE WHEN month = 'Nov' THEN revenue END) AS Nov_Revenue, SUM(CASE WHEN month = 'Dec' THEN revenue END) AS Dec_Revenue FROM Department GROUP BY id;
<filename>data/building-area-sq-footage/install.sql \c address_api CREATE EXTENSION postgres_fdw; CREATE EXTENSION file_fdw; CREATE TABLE other_attributes ( id integer NOT NULL, approximate_building_area_in_feet NUMERIC(10,2) , CONSTRAINT idx_other_attributes UNIQUE ( id ) ); COMMENT ON COLUMN other_attributes.id IS 'KIVA pin for KCMO'; COMMENT ON COLUMN other_attributes.approximate_building_area_in_feet IS 'Combined building area from Microsoft US Building Outlines'; ALTER TABLE public.other_attributes OWNER TO c4kc;
<reponame>BuildForSDG/team-029-backend /* Replace with your SQL commands */ ALTER TABLE accidents DROP COLUMN accident_type; DROP TABLE IF EXISTS accident_types;
DELIMITER / INSERT INTO KRIM_PERM_ID_BS_S VALUES(NULL) / -- Insert the new Delete Protocol permission data INSERT INTO KRIM_PERM_T ( PERM_ID, PERM_TMPL_ID, NMSPC_CD, NM, DESC_TXT, ACTV_IND, OBJ_ID ) VALUES ( (SELECT (MAX(ID)) FROM KRIM_PERM_ID_BS_S), (SELECT PERM_TMPL_ID FROM KRIM_PERM_TMPL_T WHERE NMSPC_CD = 'KC-IDM' AND NM = 'Edit Document Section'), 'KC-PROTOCOL', 'Delete Protocol', 'Delete Protocol Document', 'Y', UUID() ) / INSERT INTO KRIM_ATTR_DATA_ID_BS_S VALUES(NULL) / INSERT INTO KRIM_PERM_ATTR_DATA_T ( ATTR_DATA_ID, PERM_ID, KIM_TYP_ID, KIM_ATTR_DEFN_ID, ATTR_VAL, OBJ_ID ) VALUES ( (SELECT (MAX(ID)) FROM KRIM_ATTR_DATA_ID_BS_S), (SELECT (MAX(ID)) FROM KRIM_PERM_ID_BS_S), (SELECT KIM_TYP_ID FROM KRIM_TYP_T WHERE NMSPC_CD = 'KC-SYS' AND NM = 'Document Section'), (SELECT KIM_ATTR_DEFN_ID FROM KRIM_ATTR_DEFN_T WHERE NMSPC_CD = 'KC-SYS' AND NM = 'sectionName'), 'protocol', UUID() ) / INSERT INTO KRIM_ATTR_DATA_ID_BS_S VALUES(NULL) / INSERT INTO KRIM_PERM_ATTR_DATA_T ( ATTR_DATA_ID, PERM_ID, KIM_TYP_ID, KIM_ATTR_DEFN_ID, ATTR_VAL, OBJ_ID ) VALUES ( (SELECT (MAX(ID)) FROM KRIM_ATTR_DATA_ID_BS_S), (SELECT (MAX(ID)) FROM KRIM_PERM_ID_BS_S), (SELECT KIM_TYP_ID FROM KRIM_TYP_T WHERE NMSPC_CD = 'KC-SYS' AND NM = 'Document Section'), (SELECT KIM_ATTR_DEFN_ID FROM KRIM_ATTR_DEFN_T WHERE NMSPC_CD = 'KR-WKFLW' AND NM = 'documentTypeName'), 'ProtocolDocument', UUID() ) / INSERT INTO KRIM_ROLE_ID_BS_S VALUES(NULL) / -- Insert the new Protocol Deleter role data INSERT INTO KRIM_ROLE_T ( ROLE_ID, NMSPC_CD, ROLE_NM, DESC_TXT, KIM_TYP_ID, ACTV_IND, LAST_UPDT_DT, VER_NBR, OBJ_ID ) VALUES ( (SELECT (MAX(ID)) FROM KRIM_ROLE_ID_BS_S), 'KC-PROTOCOL', 'Protocol Deleter', 'Protocol Deleter', (SELECT KIM_TYP_ID FROM KRIM_TYP_T WHERE NMSPC_CD = 'KC-SYS' AND NM = 'Unit'), 'Y', NULL, 1, UUID() ) / INSERT INTO KRIM_ROLE_PERM_ID_BS_S VALUES(NULL) / -- Insert the role-permission association data -- for the newly created Protocol Deleter role INSERT INTO KRIM_ROLE_PERM_T ( ROLE_PERM_ID, ROLE_ID, PERM_ID, ACTV_IND, VER_NBR, OBJ_ID ) VALUES ( (SELECT (MAX(ID)) FROM KRIM_ROLE_PERM_ID_BS_S), (SELECT (MAX(ID)) FROM KRIM_ROLE_ID_BS_S), (SELECT (MAX(ID)) FROM KRIM_PERM_ID_BS_S), 'Y', 1, UUID() ) / INSERT INTO KRIM_ROLE_PERM_ID_BS_S VALUES(NULL) / -- Insert the role-permission association data -- for Protocol Aggregator and IRB Administrator roles INSERT INTO KRIM_ROLE_PERM_T ( ROLE_PERM_ID, ROLE_ID, PERM_ID, ACTV_IND, VER_NBR, OBJ_ID ) VALUES ( (SELECT (MAX(ID)) FROM KRIM_ROLE_PERM_ID_BS_S), (SELECT ROLE_ID FROM KRIM_ROLE_T WHERE ROLE_NM = 'Protocol Aggregator' AND NMSPC_CD='KC-PROTOCOL'), (SELECT (MAX(ID)) FROM KRIM_PERM_ID_BS_S), 'Y', 1, UUID() ) / INSERT INTO KRIM_ROLE_PERM_ID_BS_S VALUES(NULL) / INSERT INTO KRIM_ROLE_PERM_T ( ROLE_PERM_ID, ROLE_ID, PERM_ID, ACTV_IND, VER_NBR, OBJ_ID ) VALUES ( (SELECT (MAX(ID)) FROM KRIM_ROLE_PERM_ID_BS_S), (SELECT ROLE_ID FROM KRIM_ROLE_T WHERE ROLE_NM = 'IRB Administrator' AND NMSPC_CD='KC-UNT'), (SELECT (MAX(ID)) FROM KRIM_PERM_ID_BS_S), 'Y', 1, UUID() ) / DELIMITER ;
<reponame>npocmaka/Windows-Server-2003 -- Drop the Northwind database drop database pubs go
CREATE TABLE CODE_NAME ( CODE_ID CHAR(8) NOT NULL , CODE_VALUE VARCHAR(2) NOT NULL , LANG CHAR(2) NOT NULL , SORT_ORDER INT NOT NULL , CODE_NAME VARCHAR(50) NOT NULL , SHORT_NAME VARCHAR(50) NULL , OPTION01 VARCHAR(50) NULL , OPTION02 VARCHAR(50) NULL , OPTION03 VARCHAR(50) NULL , OPTION04 VARCHAR(50) NULL , OPTION05 VARCHAR(50) NULL , OPTION06 VARCHAR(50) NULL , OPTION07 VARCHAR(50) NULL , OPTION08 VARCHAR(50) NULL , OPTION09 VARCHAR(50) NULL , OPTION10 VARCHAR(50) NULL ); CREATE TABLE CODE_PATTERN ( CODE_ID CHAR(8) NOT NULL , CODE_VALUE VARCHAR(2) NOT NULL , PATTERN01 CHAR(1) NOT NULL , PATTERN02 CHAR(1) NULL , PATTERN03 CHAR(1) NULL , PATTERN04 CHAR(1) NULL , PATTERN05 CHAR(1) NULL , PATTERN06 CHAR(1) NULL , PATTERN07 CHAR(1) NULL , PATTERN08 CHAR(1) NULL , PATTERN09 CHAR(1) NULL , PATTERN10 CHAR(1) NULL , PATTERN11 CHAR(1) NULL , PATTERN12 CHAR(1) NULL , PATTERN13 CHAR(1) NULL , PATTERN14 CHAR(1) NULL , PATTERN15 CHAR(1) NULL , PATTERN16 CHAR(1) NULL , PATTERN17 CHAR(1) NULL , PATTERN18 CHAR(1) NULL , PATTERN19 CHAR(1) NULL , PATTERN20 CHAR(1) NULL ); CREATE TABLE USER_SESSION ( SESSION_ID VARCHAR(100) NOT NULL , SESSION_OBJECT VARBINARY(MAX) NULL , EXPIRATION_DATETIME DATETIME2 NOT NULL ); ALTER TABLE USER_SESSION ADD CONSTRAINT PK_USER_SESSION PRIMARY KEY ( SESSION_ID ); ALTER TABLE CODE_PATTERN ADD CONSTRAINT SYS_C0058550 PRIMARY KEY ( CODE_ID, CODE_VALUE ); ALTER TABLE CODE_NAME ADD CONSTRAINT SYS_C0058560 PRIMARY KEY ( CODE_ID, CODE_VALUE, LANG ); ALTER TABLE CODE_NAME ADD CONSTRAINT CODE_NAME_FK_01 FOREIGN KEY ( CODE_ID, CODE_VALUE ) REFERENCES CODE_PATTERN ( CODE_ID, CODE_VALUE );
<filename>3.PROJECT/WebKhoaCNTT/webkhoa.sql -- phpMyAdmin SQL Dump -- version 5.0.2 -- https://www.phpmyadmin.net/ -- -- Máy chủ: 127.0.0.1 -- Thời gian đã tạo: Th10 13, 2020 lúc 10:38 PM -- Phiên bản máy phục vụ: 10.4.14-MariaDB -- Phiên bản PHP: 7.4.10 SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO"; START TRANSACTION; SET time_zone = "+00:00"; /!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT /; /!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS /; /!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION /; /!40101 SET NAMES utf8mb4 /; -- -- Cơ sở dữ liệu: `webkhoa` -- -- -------------------------------------------------------- -- -- Cấu trúc bảng cho bảng `post` -- CREATE TABLE `post` ( `id` int(11) NOT NULL, `user_id` int(11) NOT NULL, `topic_id` int(11) DEFAULT NULL, `title` varchar(255) NOT NULL, `image` varchar(255) NOT NULL, `content` text NOT NULL, `published` tinyint(4) NOT NULL, `created_at` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE current_timestamp() ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Đang đổ dữ liệu cho bảng `post` -- INSERT INTO `post` (`id`, `user_id`, `topic_id`, `title`, `image`, `content`, `published`, `created_at`) VALUES (41, 21, 14, 'Lời Chào Mừng', '1605286692 - anh2.jpg', '<p>Xin ch&agrave;o c&aacute;c c&ocirc; gi&aacute;o, thầy gi&aacute;o, anh chị v&agrave; c&aacute;c bạn gh&eacute; thăm trang web của Khoa CNTT!</p>\r\n\r\n<p>Năm 2001, l&atilde;nh đạo Bộ N&ocirc;ng nghiệp &amp; PTNT, l&atilde;nh đạo trường Đại học Thủy lợi khi đ&oacute; đ&atilde; nhận ra xu hướng v&agrave; cơ hội của ng&agrave;nh C&ocirc;ng nghệ th&ocirc;ng tin (CNTT) trong tương lai, đồng thời cũng do nhu cầu bức thiết về đội ngũ kỹ sư c&ocirc;ng nghệ th&ocirc;ng tin trong ng&agrave;nh v&agrave; to&agrave;n x&atilde; hội, khoa CNTT được th&agrave;nh lập ng&agrave;y 19/11/2001 từ việc s&aacute;p nhập Trung t&acirc;m tin học v&agrave; Bộ m&ocirc;n To&aacute;n học của trường.&nbsp;<br />\r\nKể từ khi th&agrave;nh lập, Khoa CNTT đ&atilde; ph&aacute;t triển kh&ocirc;ng ngừng. Bước trưởng th&agrave;nh quan trọng nhất được thể hiện qua sự đổi mới, kiện to&agrave;n chương tr&igrave;nh đ&agrave;o tạo. Bắt đầu từ năm 2007, Khoa đ&atilde; tập trung thực hiện &nbsp;việc chuyển đổi to&agrave;n bộ chương tr&igrave;nh, gi&aacute;o tr&igrave;nh đ&agrave;o tạo, thiết kế theo c&ugrave;ng ng&agrave;nh của trường ĐH Michigan- Hoa kỳ. Ri&ecirc;ng c&aacute;c m&ocirc;n To&aacute;n được thiết kế dựa v&agrave;o chương tr&igrave;nh đ&agrave;o tạo của học viện Kỹ thuật MIT - Hoa Kỳ. Từ năm 2015, Khoa tạo bước ngoặt cả về nghi&ecirc;n cứu,&nbsp;đ&agrave;o tạo, x&acirc;y dựng cơ sở vật chất v&agrave; ph&aacute;t triển đội ngũ.&nbsp;Khoa mở rộng quy m&ocirc; tuyển sinh cho&nbsp;cả đại học v&agrave; sau đại học tr&ecirc;n 450 chỉ ti&ecirc;u mỗi năm, với những điểm nhấn quan trọng sau:</p>\r\n\r\n<p><em><strong>Về đội ngũ</strong></em>, Khoa c&oacute; 60 giảng vi&ecirc;n trực tiếp tham gia giảng dạy, trong đ&oacute; c&oacute; 20 Tiến sỹ v&agrave; 12 nghi&ecirc;n cứu sinh với&nbsp;năng lực c&ocirc;ng bố quốc tế tốt.&nbsp;Phần lớn c&aacute;c Tiến sỹ của Khoa đều tu nghiệp tại nước ngo&agrave;i c&oacute; nền khoa học ti&ecirc;n tiến về CNTT, c&aacute;c giảng vi&ecirc;n c&ograve;n lại của Khoa đều c&oacute; tr&igrave;nh độ Thạc sỹ.</p>\r\n\r\n<p><em><strong>Về đ&agrave;o tạo</strong></em>, Khoa c&oacute; những thay đổi lớn trong thời gian qua về quy m&ocirc;, chương tr&igrave;nh đ&agrave;o tạo c&oacute; tầm nh&igrave;n v&agrave; đ&aacute;p ứng y&ecirc;u cầu thị trường việc l&agrave;m trong v&agrave; ngo&agrave;i nước. Hiện Khoa c&oacute; 3 ng&agrave;nh đ&agrave;o tạo bậc đại học l&agrave; C&ocirc;ng nghệ th&ocirc;ng tin, Hệ thống th&ocirc;ng tin, Kỹ thuật phần mềm; một chuy&ecirc;n ng&agrave;nh bậc sau đại học l&agrave; C&ocirc;ng nghệ th&ocirc;ng tin. Khoa lu&ocirc;n cập nhật s&aacute;ch v&agrave; gi&aacute;o tr&igrave;nh mới nhất, đang được nhiều trường đại học uy t&iacute;n tr&ecirc;n thế giới sử dụng, c&aacute;c b&agrave;i giảng đều cung cấp trực tuyến cho sinh vi&ecirc;n. C&aacute;c chương tr&igrave;nh do c&ocirc;ng ty Samsung to&agrave;n cầu, FPT software đầu tư gi&uacute;p Khoa đ&agrave;o tạo những sinh vi&ecirc;n kh&aacute; c&oacute; cơ hội việc l&agrave;m khi c&ograve;n chưa tốt nghiệp.</p>\r\n\r\n<p><em><strong>Về NCKH v&agrave; hợp t&aacute;c quốc tế</strong></em>, Khoa đạt được nhiều th&agrave;nh t&iacute;ch cao, c&aacute;c thầy c&ocirc; đ&atilde; c&ocirc;ng bố&nbsp;tr&ecirc;n&nbsp;160 b&agrave;i b&aacute;o khoa học,&nbsp;trong đ&oacute; chủ yếu l&agrave; c&ocirc;ng bố quốc tế v&agrave;&nbsp;c&oacute; 47&nbsp;b&agrave;i thuộc danh mục SCI/SCIE. C&aacute;c thầy c&ocirc; trong Khoa chủ nhiệm v&agrave; tham gia tr&ecirc;n 10 đề t&agrave;i cấp nh&agrave; nước v&agrave; h&agrave;ng chục đề t&agrave;i nghi&ecirc;n cứu khoa học cấp Bộ. Khoa c&oacute; những hợp t&aacute;c quốc tế v&agrave; giao lưu khoa học bền vững với c&aacute;c trường đại học uy t&iacute;n của Mỹ (Delta University, Arkansas&nbsp;University,&nbsp;Colorado State University), Ph&aacute;p (Paris 6, IRD, UMMISCO), Trung Quốc (ĐH Th&acirc;m Quyến, Viện c&ocirc;ng nghệ ti&ecirc;n tiến Th&acirc;m Quyến, ĐH Khoa học v&agrave; c&ocirc;ng nghệ phương Nam), Nhật (JAIST, Nara Women&#39;s University), &Uacute;c (Griffith University,&nbsp;Deakin University, Monash University) theo c&aacute;c chương tr&igrave;nh trao đổi hợp t&aacute;c nghi&ecirc;n cứu, trao đổi gi&aacute;o vi&ecirc;n v&agrave; sinh vi&ecirc;n.<br />\r\nMục ti&ecirc;u của ch&uacute;ng t&ocirc;i l&agrave; một tổ chức đ&agrave;o tạo CNTT tầm khu vực. Nh&igrave;n về ph&iacute;a trước, Khoa CNTT sẽ tiếp tục l&agrave; nơi đ&agrave;o tạo uy t&iacute;n với nền tảng cốt l&otilde;i về CNTT, hướng chuy&ecirc;n s&acirc;u về khoa học dữ liệu, tr&iacute; tuệ nh&acirc;n tạo. Ch&uacute;ng t&ocirc;i tin tưởng rằng c&aacute;c sinh vi&ecirc;n v&agrave; giảng vi&ecirc;n của ch&uacute;ng t&ocirc;i sẽ l&agrave; những yếu tố ch&iacute;nh của sự thay đổi v&agrave; giải quyết vấn đề trong&nbsp;thế giới&nbsp;hiện đại, &nbsp;lu&ocirc;n lu&ocirc;n mở v&agrave; lu&ocirc;n lu&ocirc;n kết nối n&agrave;y.<br />\r\nK&iacute;nh mời c&aacute;c qu&yacute; vị truy cập v&agrave; kh&aacute;m ph&aacute; trang web của Khoa ch&uacute;ng t&ocirc;i, t&igrave;m hiểu th&ecirc;m về c&aacute;c chương tr&igrave;nh đ&agrave;o tạo đại học v&agrave; sau đại học của Khoa, t&igrave;m hiểu về c&aacute;c hoạt động nghi&ecirc;n cứu v&agrave; th&agrave;nh tựu của ch&uacute;ng t&ocirc;i, tra cứu v&agrave; xem th&ocirc;ng tin giảng vi&ecirc;n, sinh vi&ecirc;n, v&agrave; kh&aacute;m ph&aacute; những kinh nghiệm phong ph&uacute; của Khoa CNTT với ch&uacute;ng t&ocirc;i.</p>\r\n', 1, '2020-11-13 19:59:40'), (42, 21, 14, '<NAME>', '1605297096_so do khoa cntt.jpg', '<p>Trưởng khoa: PGS. TS.&nbsp;<a href="http://cse.tlu.edu.vn/B%E1%BB%99-m%C3%B4n-Trung-t%C3%A2m/CN-ph%E1%BA%A7n-m%E1%BB%81m/%C4%90%E1%BB%99i-ng%C5%A9-gi%E1%BA%A3ng-vi%C3%AAn-CNPM/userid/4/nguyen-thanh-tung-ts">N<NAME>&ugrave;ng</a></p>\r\n\r\n<p>Email: <EMAIL> &nbsp; &nbsp; Điện thoại: +84-4-38521442</p>\r\n\r\n<p>PGS. TS. N<NAME>&ugrave;ng &ndash; Trưởng Khoa,&nbsp;<strong>phụ tr&aacute;ch chung</strong>&nbsp;v&agrave; trực tiếp phụ tr&aacute;ch c&aacute;c c&ocirc;ng t&aacute;c:</p>\r\n\r\n<p>1. &nbsp; &nbsp; Tổ chức, nh&acirc;n sự<br />\r\n2. &nbsp; &nbsp; C&aacute;c Hội đồng (Khoa học, Tư vấn, ...)<br />\r\n3. &nbsp; &nbsp; Chiến lược ph&aacute;t triển, kế hoạch<br />\r\n4. &nbsp; &nbsp; Nghi&ecirc;n cứu v&agrave; ph&aacute;t triển chương tr&igrave;nh đ&agrave;o tạo, chương tr&igrave;nh li&ecirc;n kết với nước ngo&agrave;i<br />\r\n5. &nbsp; &nbsp; C&ocirc;ng t&aacute;c thi đua, khen thưởng, kỷ luật<br />\r\n6. &nbsp; &nbsp; Ph&aacute;t triển thương hiệu Khoa, quản l&yacute; th&ocirc;ng tin Website, trang facebook của Khoa</p>\r\n\r\n<p>&nbsp;Ph&oacute; trưởng khoa: TS. GVC.&nbsp;<a href="http://cse.tlu.edu.vn/B%E1%BB%99-m%C3%B4n-Trung-t%C3%A2m/H%E1%BB%87-th%E1%BB%91ng-th%C3%B4ng-tin/%C4%90%E1%BB%99i-ng%C5%A9-gi%E1%BA%A3ng-vi%C3%AAn-HTTT/userid/42/dang-thi-thu-hien-ts">Đặng Thị Thu Hiền</a></p>\r\n\r\n<p>Email: <EMAIL></p>\r\n\r\n<p>TS. GVC. Đặng Thị Thu Hiền - Ph&oacute; trưởng Khoa, phụ tr&aacute;ch&nbsp;<strong>NCKH, Hợp t&aacute;c quốc tế v&agrave; c&ocirc;ng t&aacute;c sinh vi&ecirc;n,</strong>&nbsp;phụ tr&aacute;ch trực tiếp c&aacute;c mặt c&ocirc;ng t&aacute;c:</p>\r\n\r\n<p>1. &nbsp; &nbsp; &nbsp;C&ocirc;ng t&aacute;c sinh vi&ecirc;n NCKH, Olympic sinh vi&ecirc;n<br />\r\n2. &nbsp; &nbsp; &nbsp;Hợp t&aacute;c quốc tế<br />\r\n3. &nbsp; &nbsp; &nbsp;Ph&aacute;t triển quan hệ doanh nghiệp,&nbsp;cố vấn học tập v&agrave; tư vấn ng&agrave;nh nghề<br />\r\n4. &nbsp; &nbsp; &nbsp;C&ocirc;ng t&aacute;c tuyển sinh<br />\r\n5. &nbsp; &nbsp; &nbsp;C&ocirc;ng t&aacute;c thư viện, gi&aacute;o tr&igrave;nh<br />\r\n6. &nbsp; &nbsp; &nbsp;C&ocirc;ng t&aacute;c đo&agrave;n, hội sinh vi&ecirc;n, c&ocirc;ng t&aacute;c cựu sinh vi&ecirc;n</p>\r\n\r\n<p>- Ph&oacute; trưởng khoa: PGS. TS.&nbsp;&nbsp;Nguyễn Hữu&nbsp;Quỳnh</p>\r\n\r\n<p>Email: <EMAIL></p>\r\n\r\n<p>PGS. TS. <NAME> &ndash; Gi&aacute;m đốc Trung t&acirc;m Tin học ki&ecirc;m Ph&oacute; trưởng Khoa, phụ tr&aacute;ch&nbsp;<strong>Đ&agrave;o tạo v&agrave; đảm bảo chất lượng</strong>, phụ tr&aacute;ch trực tiếp c&aacute;c mặt c&ocirc;ng t&aacute;c:</p>\r\n\r\n<p>1. &nbsp; &nbsp; &nbsp;Đ&agrave;o tạo Đại học, Thạc sỹ v&agrave; Tiến sỹ<br />\r\n2. &nbsp; &nbsp; &nbsp;Kiểm định chất lượng<br />\r\n3. &nbsp; &nbsp; &nbsp;C&ocirc;ng t&aacute;c đ&agrave;o tạo v&agrave; học tập trực tuyến<br />\r\n4. &nbsp; &nbsp; &nbsp;Quản trị cơ sở vật chất, thiết bị<br />\r\n&nbsp;</p>\r\n\r\n<table border="0" cellpadding="0">\r\n <tbody>\r\n <tr>\r\n <td rowspan="2">\r\n <p>Văn ph&ograve;ng khoa&nbsp;</p>\r\n </td>\r\n <td>\r\n <p>&nbsp;ThS. Nguyễn Thị Thu Hương</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>&nbsp; KS. Nguyễn Kh&aacute;nh Linh</p>\r\n </td>\r\n </tr>\r\n </tbody>\r\n</table>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p><strong> Khối c&aacute;c đơn vị giảng dạy</strong></p>\r\n\r\n<table>\r\n <tbody>\r\n <tr>\r\n <td><a href="http://cse.tlu.edu.vn/B%E1%BB%99-m%C3%B4n-Trung-t%C3%A2m/C%C3%B4ng-ngh%E1%BB%87-ph%E1%BA%A7m-m%E1%BB%81m/%C4%90%E1%BB%99i-ng%C5%A9-gi%E1%BA%A3ng-vi%C3%AAn-CNPM" target="_blank">&nbsp;- Bộ m&ocirc;n C&ocirc;ng nghệ phần mềm</a></td>\r\n <td>Trưởng BM - TS. L&yacute; Anh Tuấn&nbsp;</td>\r\n </tr>\r\n <tr>\r\n <td><a href="http://cse.tlu.edu.vn/B%E1%BB%99-m%C3%B4n-Trung-t%C3%A2m/H%E1%BB%87-th%E1%BB%91ng-th%C3%B4ng-tin/%C4%90%E1%BB%99i-ng%C5%A9-gi%E1%BA%A3ng-vi%C3%AAn-HTTT" target="_blank">&nbsp;- Bộ m&ocirc;n Hệ thống th&ocirc;ng tin</a></td>\r\n <td>Trưởng BM - TS.GVC Đặng Thị Thu Hiền</td>\r\n </tr>\r\n <tr>\r\n <td><a href="http://cse.tlu.edu.vn/B%E1%BB%99-m%C3%B4n-Trung-t%C3%A2m/Khoa-h%E1%BB%8Dc-m%C3%A1y-t%C3%ADnh/%C4%90%E1%BB%99i-ng%C5%A9-gi%E1%BA%A3ng-vi%C3%AAn-KHMT" target="_blank">&nbsp;- Bộ m&ocirc;n Khoa học m&aacute;y t&iacute;nh</a></td>\r\n <td>Phụ tr&aacute;ch BM - TS. GVCC Nguyễn Huy Đức</td>\r\n </tr>\r\n <tr>\r\n <td><a href="http://cse.tlu.edu.vn/B%E1%BB%99-m%C3%B4n-Trung-t%C3%A2m/K%E1%BB%B9-thu%E1%BA%ADt-m%C3%A1y-t%C3%ADnh-v%C3%A0-m%E1%BA%A1ng/%C4%90%E1%BB%99i-ng%C5%A9-gi%E1%BA%A3ng-vi%C3%AAn-KTMT-M%E1%BA%A1ng" target="_blank">&nbsp;- Bộ m&ocirc;n Kỹ thuật m&aacute;y t&iacute;nh v&agrave; Mạng</a>&nbsp; &nbsp; &nbsp;&nbsp;</td>\r\n <td>P. Trưởng BM -&nbsp; ThS. Phạm Thanh B&igrave;nh</td>\r\n </tr>\r\n <tr>\r\n <td>&nbsp;-&nbsp;Bộ m&ocirc;n Tin học v&agrave; Kỹ thuật t&iacute;nh to&aacute;n</td>\r\n <td>Trưởng BM - TS. Nguyễn Quỳnh Diệp</td>\r\n </tr>\r\n <tr>\r\n <td><a href="http://cse.tlu.edu.vn/B%E1%BB%99-m%C3%B4n-Trung-t%C3%A2m/B%E1%BB%99-m%C3%B4n-to%C3%A1n-h%E1%BB%8Dc/%C4%90%E1%BB%99i-ng%C5%A9-gi%E1%BA%A3ng-vi%C3%AAn-BM-To%C3%A1n">&nbsp;- Bộ m&ocirc;n To&aacute;n học</a></td>\r\n <td>Trưởng BM- TS. Nguyễn Hữu Thọ</td>\r\n </tr>\r\n </tbody>\r\n</table>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p><strong>* Khối tổ chức đo&agrave;n thể</strong></p>\r\n\r\n<table>\r\n <tbody>\r\n <tr>\r\n <td>-&nbsp;Đảng bộ bộ phận khoa C&ocirc;ng nghệ th&ocirc;ng tin&nbsp; &nbsp;</td>\r\n <td>B&iacute; thư Nguyễn Thanh T&ugrave;ng</td>\r\n </tr>\r\n <tr>\r\n <td>- C&ocirc;ng đo&agrave;n khoa C&ocirc;ng nghệ th&ocirc;ng tin &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</td>\r\n <td>Chủ tịch Nguyễn Hữu Thọ</td>\r\n </tr>\r\n <tr>\r\n <td>- Chi đo&agrave;n gi&aacute;o vi&ecirc;n</td>\r\n <td>B&iacute; Thư&nbsp; Đỗ Oanh Cường</td>\r\n </tr>\r\n <tr>\r\n <td>- Li&ecirc;n chi Khoa CNTT</td>\r\n <td>&nbsp;</td>\r\n </tr>\r\n </tbody>\r\n</table>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p><strong>* C&aacute;c ph&ograve;ng th&iacute; nghiệm phục vụ c&ocirc;ng t&aacute;c đ&agrave;o tạo, nghi&ecirc;n cứu</strong></p>\r\n\r\n<p>- Ph&ograve;ng th&iacute; nghiệm Khoa học dữ liệu: TS.&nbsp;<a href="http://cse.tlu.edu.vn/bo-mon-trung-tam/he-thong-thong-tin/doi-ngu-giang-vien-httt/userid/42/dang-thi-thu-hien-ts" target="_blank">Đặng Thị Thu&nbsp;Hiền</a>&nbsp;- Trưởng Lab</p>\r\n\r\n<p>-&nbsp;Ph&ograve;ng th&iacute; nghiệm M&ocirc; h&igrave;nh h&oacute;a v&agrave; m&ocirc; phỏng: TS.&nbsp;<a href="http://cse.tlu.edu.vn/bo-mon-trung-tam/khoa-hoc-may-tinh/doi-ngu-giang-vien-khmt/userid/48/nguyen-ngoc-doanh-ts" target="_blank">Ngu<NAME> Doanh</a>&nbsp;- Trưởng Lab</p>\r\n\r\n<p>Ngo&agrave;i ra, Khoa c&ograve;n th&agrave;nh lập một hội đồng Khoa tư vấn cho Trưởng khoa c&aacute;c c&ocirc;ng việc đ&agrave;o tạo, nghi&ecirc;n cứu cũng như định hướng ph&aacute;t triển của Khoa CNTT</p>\r\n\r\n<p>Ban chủ nhiệm Khoa đ&oacute;ng vai tr&ograve; chủ đạo trong việc quyết định mọi dự &aacute;n cũng như c&aacute;c kế hoạch ph&aacute;t triển của Khoa. Văn ph&ograve;ng Khoa l&agrave; nơi giải quyết tất cả những thủ tục h&agrave;nh ch&iacute;nh của Khoa cũng như quản l&yacute; tất cả những th&ocirc;ng tin của sinh vi&ecirc;n v&agrave; c&aacute;n bộ trong Khoa CNTT.</p>\r\n', 1, '2020-11-13 19:51:36'), (43, 21, 15, 'Định hướng nghề nghiệp', '1605287545-anh2.jpg', '<p><strong>Học Nh&oacute;m ng&agrave;nh C&ocirc;ng nghệ th&ocirc;ng tin ra trường l&agrave;m g&igrave;?&nbsp;Đ&oacute; l&agrave; c&acirc;u hỏi m&agrave; tất cả th&iacute; sinh đều băn khoăn khi đăng k&yacute; chọn ng&agrave;nh nghề m&igrave;nh theo đuổi</strong></p>\r\n\r\n<p>C&ocirc;ng nghệ th&ocirc;ng tin (Information Technology- IT) ng&agrave;y c&agrave;ng trở th&agrave;nh lựa chọn của nhiều bạn trẻ nhiệt huyết, y&ecirc;u th&iacute;ch lĩnh vực c&ocirc;ng nghệ.&nbsp;Muốn tạo n&ecirc;n sự kh&aacute;c biệt t&iacute;ch cực cho thế giới th&igrave; IT l&agrave; một trong những con đường lựa chọn đ&uacute;ng đắn của bạn bởi IT ng&agrave;y nay l&agrave; c&ocirc;ng cụ quan trọng kh&ocirc;ng thể thiếu trong c&aacute;c lĩnh vực khoa học c&ocirc;ng nghệ.<br />\r\nCơ hội việc l&agrave;m của C&ocirc;ng nghệ th&ocirc;ng tin cho bạn rất nhiều lựa chọn hấp dẫn :<br />\r\n- Lập tr&igrave;nh vi&ecirc;n: người trực tiếp tạo ra c&aacute;c sản phẩm c&ocirc;ng nghệ như phần mềm, hệ thống th&ocirc;ng tin;<br />\r\n- Kiểm duyệt chất lượng phần mềm: trực tiếp kiểm tra chất lượng c&aacute;c sản phẩm c&ocirc;ng nghệ do lập tr&igrave;nh vi&ecirc;n tạo ra;<br />\r\n- Chuy&ecirc;n vi&ecirc;n ph&acirc;n t&iacute;ch thiết kế hệ thống, quản l&yacute; dữ liệu, quản trị mạng, kỹ thuật phần cứng m&aacute;y t&iacute;nh;<br />\r\n- Chuy&ecirc;n gia quản l&yacute;, kinh doanh, điều phối c&aacute;c dự &aacute;n c&ocirc;ng nghệ th&ocirc;ng tin;<br />\r\n- Giảng dạy v&agrave; nghi&ecirc;n cứu về c&ocirc;ng nghệ th&ocirc;ng tin tại c&aacute;c cơ sở đ&agrave;o tạo&hellip;<br />\r\n&nbsp;</p>\r\n\r\n<p><strong>Học Nh&oacute;m ng&agrave;nh C&ocirc;ng nghệ th&ocirc;ng tin l&agrave;m việc ở đ&acirc;u?</strong></p>\r\n\r\n<p>Tốt nghiệp ng&agrave;nh C&ocirc;ng nghệ th&ocirc;ng tin bạn c&oacute; thể l&agrave;m việc tại:<br />\r\n- C&aacute;c c&ocirc;ng ty, tập đo&agrave;n về c&ocirc;ng nghệ th&ocirc;ng tin; &nbsp;<br />\r\n- C&aacute;c c&ocirc;ng ty sản xuất, lắp r&aacute;p, sửa chữa trang thiết bị phần cứng;<br />\r\n- C&aacute;c c&ocirc;ng ty cung cấp giải ph&aacute;p t&iacute;ch hợp;<br />\r\n- C&aacute;c c&ocirc;ng ty cung cấp giải ph&aacute;p về mạng v&agrave; an ninh mạng;<br />\r\n- Bộ phận Quản trị, bộ phận IT tại c&aacute;c c&ocirc;ng ty, kể cả&nbsp;c&ocirc;ng ty hoạt động trong lĩnh vực C&ocirc;ng nghệ v&agrave; c&aacute;c lĩnh vực kh&aacute;c như ng&acirc;n h&agrave;ng, y tế, gi&aacute;o dục, giải tr&iacute;...<br />\r\n- Giảng vi&ecirc;n c&aacute;c trường đại học, cao đẳng, học viện, trung t&acirc;m c&oacute; đ&agrave;o tạo C&ocirc;ng nghệ th&ocirc;ng tin.</p>\r\n\r\n<p>Thống k&ecirc; của Bộ Th&ocirc;ng tin v&agrave; Truyền th&ocirc;ng, đến năm 2020, nh&acirc;n lực trong lĩnh vực IT mỗi năm tăng 13%. Theo đ&oacute;, lĩnh vực C&ocirc;ng nghệ th&ocirc;ng tin ở Việt Nam cần đến 1 triệu lao động hoạt động. Song song đ&oacute;, một sự ưu &aacute;i&nbsp;kh&aacute;c của thị trường lao động đối với ng&agrave;nh n&agrave;y l&agrave; thực tế c&aacute;c cuộc khủng hoảng kinh tế gần đ&acirc;y đ&atilde; minh chứng, nh&acirc;n lực thuộc lĩnh vực c&ocirc;ng nghệ th&ocirc;ng tin l&agrave; một trong những ng&agrave;nh &iacute;t&nbsp;chịu sự t&aacute;c động&nbsp;nhất.<br />\r\nNhư vậy, để th&agrave;nh c&ocirc;ng với những c&ocirc;ng việc tr&ecirc;n đ&ograve;i hỏi bạn phải lựa chọn cho bản th&acirc;n một chương tr&igrave;nh đ&agrave;o tạo C&ocirc;ng nghệ th&ocirc;ng tin uy t&iacute;n ở c&aacute;c trường đại học ph&ugrave; hợp như Đại học B&aacute;ch khoa Tp.HCM, Đại học Khoa học tự nhi&ecirc;n, Đại học Kinh tế T&agrave;i ch&iacute;nh Tp.HCM (UEF), Đại học C&ocirc;ng nghệ Tp.HCM - HUTECH, Đại học C&ocirc;ng nghệ th&ocirc;ng tin...<br />\r\nNgo&agrave;i kiến thức chuy&ecirc;n m&ocirc;n về IT được đ&agrave;o tạo, sinh vi&ecirc;n cũng cần trang bị th&ecirc;m yếu tố ngoại ngữ, kỹ năng nghề nghiệp, kỹ năng mềm cần thiết. Đ&aacute;p ứng nhu cầu đ&oacute;, c&oacute; thể n&oacute;i UEF l&agrave; một trong những trường ti&ecirc;n phong ch&uacute; trọng khối kiến thức nghề to&agrave;n diện. Ngo&agrave;i ra, sinh vi&ecirc;n IT của UEF&nbsp;c&ograve;n c&oacute; cơ hội tiếp cận với m&ocirc;i trường kinh doanh thực tế th&ocirc;ng qua những buổi kiến tập v&agrave; thực tập tại c&aacute;c doanh nghiệp, những chia sẻ từ c&aacute;c doanh nh&acirc;n, chuy&ecirc;n gia h&agrave;ng đầu trong lĩnh vực c&ocirc;ng nghệ hay tiếp cận những dự &aacute;n kinh doanh c&aacute;c bạn tự tiến h&agrave;nh triển khai...Từ đ&oacute;, sinh vi&ecirc;n c&oacute; c&aacute;i nh&igrave;n to&agrave;n diện v&agrave; s&acirc;u rộng về nghề nghiệp m&igrave;nh c&oacute; dự định theo đuổi, trang bị th&ecirc;m kiến thức v&agrave; kinh nghiệm thực tế để tự tin chinh phục đỉnh cao nghề nghiệp.<br />\r\nVới những th&ocirc;ng tin trong b&agrave;i viết th&igrave; vấn đề&nbsp;<em>học ng&agrave;nh C&ocirc;ng nghệ th&ocirc;ng tin ra trường l&agrave;m g&igrave;?</em>&nbsp;<em>v&agrave; l&agrave;m việc ở đ&acirc;u? chắc chắn</em><em>&nbsp;</em><em>kh&ocirc;ng c&ograve;n l&agrave; nỗi lo lắng, băn khoăn của c&aacute;c bạn khi chọn ng&agrave;nh học đầy s&aacute;ng tạo n&agrave;y.</em></p>\r\n', 1, '2020-11-13 20:11:39'), (44, 21, 15, 'Mô hình đào tạo', '1605298162_1605291737_1605287592-1605286692 - anh2.jpg', '<p><strong>KHOA C&Ocirc;NG NGHỆ TH&Ocirc;NG TIN- ĐẠI HỌC THỦY LỢI</strong></p>\r\n\r\n<p><strong>C&aacute;c bậc đ&agrave;o tạo</strong></p>\r\n\r\n<p>Hiện nay, khoa C&ocirc;ng nghệ th&ocirc;ng tin đ&agrave;o tạo 2 hệ: Đại học ch&iacute;nh quy v&agrave; Cao học</p>\r\n\r\n<p><strong>Hệ đ&agrave;o tạo đại học ch&iacute;nh quy:</strong></p>\r\n\r\n<p>Ng&agrave;nh c&ocirc;ng nghệ th&ocirc;ng tin: Thời gian đ&agrave;o tạo 4.5 năm tập trung</p>\r\n\r\n<p>Ng&agrave;nh Kỹ thuật phần mềm, Hệ thống th&ocirc;ng tin: Thời gian đ&agrave;o tạo 4 năm, tập trung</p>\r\n\r\n<p><strong>Với bậc sau đại học</strong>: Đ&agrave;o tạo Thạc sỹ &nbsp;thời gian đ&agrave;o tạo: 1.5- 2 năm, tập trung&nbsp;</p>\r\n\r\n<p><strong>Quy m&ocirc; đ&agrave;o tạo</strong></p>\r\n\r\n<p><strong>* Đối với hệ đại học ch&iacute;nh quy</strong></p>\r\n\r\n<p><strong>Năm học 2014- 2015: Khoa tuyển sinh 3 lớp C&ocirc;ng nghệ th&ocirc;ng tin (bao gồm: 56TH1, 56TH2, 56TH3), tổng số 210 sinh vi&ecirc;n</strong></p>\r\n\r\n<p><strong>Năm học 2015- 2016: Khoa tuyển sinh 4 lớp C&ocirc;ng nghệ th&ocirc;ng tin (bao gồm: 57TH1, 57TH2, 57TH3, 57TH4), tổng số 300 sinh vi&ecirc;n</strong></p>\r\n\r\n<p><strong>Dự kiến năm 2016- 2017: Khoa tuyển sinh &nbsp;350 sinh vi&ecirc;n đầu v&agrave;o, năm 2017- 2020 (450 sinh vi&ecirc;n)</strong></p>\r\n\r\n<p><strong><strong>* Đối với hệ Cao học</strong></strong></p>\r\n\r\n<p><strong>Bắt đầu tuyển sinh năm 2016, số lượng 60 học vi&ecirc;n/1 đợt</strong></p>\r\n\r\n<p><strong>Mỗi năm tuyển sinh 2 đợt</strong></p>\r\n\r\n<p><strong>Phương thức quản l&yacute; đ&agrave;o tạo</strong>: Đ&agrave;o tạo theo t&iacute;n chỉ</p>\r\n\r\n<p><strong>C</strong><strong>hương tr&igrave;nh đ&agrave;o tạo</strong></p>\r\n\r\n<p>Trong hoạt động đ&agrave;o tạo, Khoa C&ocirc;ng nghệ th&ocirc;ng tin- ĐH Thủy lợi lu&ocirc;n quan t&acirc;m nghi&ecirc;n cứu đổi mới nội dung chương tr&igrave;nh đ&agrave;o tạo theo hướng cập nhật c&aacute;c tiến bộ khoa học c&ocirc;ng nghệ, đ&aacute;p ứng tốt nhất nhu cầu x&atilde; hội trong từng giai đoạn ph&aacute;t triển.</p>\r\n\r\n<p>Chương tr&igrave;nh đ&agrave;o tạo được thiết kế tr&ecirc;n cơ sở m&ocirc; đun h&oacute;a c&aacute;c kiến thức theo đơn vị t&iacute;n chỉ (TC), tạo điều kiện thuận lợi cho sinh vi&ecirc;n lựa chọn chương tr&igrave;nh học tập ph&ugrave; hợp với kế hoạch v&agrave; điều kiện c&aacute; nh&acirc;n. Mặt kh&aacute;c cấu tr&uacute;c chương tr&igrave;nh theo t&iacute;n chỉ cho ph&eacute;p dễ d&agrave;ng học li&ecirc;n th&ocirc;ng giữa c&aacute;c ng&agrave;nh nghề, mở ra khả năng chuyển đổi nghề nghiệp hoặc học tiếp l&ecirc;n c&aacute;c tr&igrave;nh độ học vấn cao hơn. Việc thiết kế chương tr&igrave;nh đ&agrave;o tạo theo t&iacute;n chỉ tạo nhiều điều kiện thuận lợi cho người học nhưng đ&ograve;i hỏi nh&agrave; trường phải n&acirc;ng cao khả năng đ&aacute;p ứng về nhiều phương diện.</p>\r\n\r\n<p><strong>Hợp t&aacute;c đ&agrave;o tạo nguồn nh&acirc;n lực chất lượng cao:</strong></p>\r\n\r\n<p>Khoa phối hợp với C&ocirc;ng ty phần mềm Fsoft thuộc tập đo&agrave;n FPT đ&agrave;o tạo kh&oacute;a học ngắn hạn về C&ocirc;ng nghệ th&ocirc;ng tin,&nbsp;nhằm trang bị c&aacute;c kiến thức, c&aacute;c kỹ năng lập tr&igrave;nh ứng dụng đ&aacute;p ứng y&ecirc;u cầu của nh&agrave; tuyển dụng. Đ&acirc;y l&agrave; chương tr&igrave;nh rất hữu &iacute;ch cho sinh vi&ecirc;n, c&aacute;c bạn được trang bị cơ bản v&agrave; n&acirc;ng cao về SQL, lập tr&igrave;nh ứng dụng với c&aacute;c ng&ocirc;n ngữ C++/Win32, .Net v&agrave; Java. Sinh vi&ecirc;n sẽ c&oacute; cơ hội được học tập v&agrave; thực h&agrave;nh với những kiến thức thực tế nhất do giảng vi&ecirc;n của FSOFT đảm nhận. Mỗi kh&oacute;a đ&agrave;o tạo sẽ k&eacute;o d&agrave;i 320 giờ cho sinh vi&ecirc;n năm cuối của khoa CNTT. Sau kh&oacute;a học n&agrave;y, c&aacute;c bạn sinh vi&ecirc;n sẽ được cấp chứng nhận của FSOFT v&agrave; c&oacute; nhiều cơ hội được phỏng vấn v&agrave;o l&agrave;m việc tại FSOFT. Đ&acirc;y l&agrave; một cơ hội rất tốt cho sinh vi&ecirc;n được thử sức, trải nghiệm v&agrave; l&agrave;m quen với một m&ocirc;i trường l&agrave;m việc h&agrave;ng đầu v&agrave; chuy&ecirc;n nghiệp tại Việt Nam.</p>\r\n', 1, '2020-11-13 20:09:22'), (45, 21, 16, 'Công Nghệ phần mềm', '1605298357_1605289046-cntt.jpg', '<p><strong>Giới thiệu Bộ m&ocirc;n C&ocirc;ng nghệ phần mềm</strong></p>\r\n\r\n<p><strong>&nbsp;</strong></p>\r\n\r\n<p><strong>Bộ m&ocirc;n C&ocirc;ng nghệ phần mềm đảm nhiệm chức năng giảng dạy tin đại cương, m&ocirc;n tin cơ sở v&agrave; chuy&ecirc;n ng&agrave;nh C&ocirc;ng nghệ phần mềm.</strong></p>\r\n\r\n<p><strong>&nbsp;</strong></p>\r\n\r\n<p><strong>Th&agrave;nh phần l&atilde;nh đạo bộ m&ocirc;n</strong>:</p>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p><strong>Trưởng bộ m&ocirc;n: TS L&yacute; Anh Tuấn</strong></p>\r\n\r\n<p>Tốt nghiệp Đại học Quốc gia H&agrave; Nội&nbsp; năm 2001</p>\r\n\r\n<p>Thạc sỹ năm 2006 &nbsp;tại ĐH Quốc gia H&agrave; Nội</p>\r\n\r\n<p>Bảo vệ luận &aacute;n Tiến sỹ chuy&ecirc;n ng&agrave;nh C&ocirc;ng nghệ th&ocirc;ng tin &nbsp;năm &nbsp;2013 tại ĐH Paris- Sud, Cộng h&ograve;a Ph&aacute;p</p>\r\n\r\n<p><strong>Trưởng bộ m&ocirc;n: TS L&ecirc; Nguyễn Tuấn Th&agrave;nh</strong></p>\r\n\r\n<p><strong><img alt="" src="http://cse.tlu.edu.vn/Portals/0/2018/Thanh.png" /></strong></p>\r\n\r\n<p>Tốt nghiệp Đại học C&ocirc;ng nghệ, Đại học&nbsp;Quốc gia H&agrave; Nội&nbsp; năm 2008</p>\r\n\r\n<p>Thạc sỹ năm 2011&nbsp; tại Viện tin học Ph&aacute;p ngữ</p>\r\n\r\n<p>Bảo vệ luận &aacute;n Tiến sỹ chuy&ecirc;n ng&agrave;nh Tr&iacute; tuệ nh&acirc;n tạo&nbsp; năm &nbsp;2016 tại ĐH Toulouse 3 <NAME>, Cộng h&ograve;a Ph&aacute;p</p>\r\n\r\n<p><strong>C&aacute;c m&ocirc;n học giảng dạy</strong></p>\r\n\r\n<p><strong>&nbsp;</strong></p>\r\n\r\n<table border="0" cellpadding="0" cellspacing="0" style="width:700px">\r\n <tbody>\r\n <tr>\r\n <td>\r\n <p><strong>STT</strong></p>\r\n </td>\r\n <td>\r\n <p><strong>T&ecirc;n m&ocirc;n</strong></p>\r\n </td>\r\n <td>\r\n <p><strong>T&ecirc;n tiếng anh</strong></p>\r\n </td>\r\n <td>\r\n <p><strong>M&atilde; m&ocirc;n</strong></p>\r\n </td>\r\n <td>\r\n <p><strong>Số t&iacute;n chỉ</strong></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>1</p>\r\n </td>\r\n <td>\r\n <p>Ng&ocirc;n ngữ lập tr&igrave;nh</p>\r\n </td>\r\n <td>\r\n <p>Programming &amp; Introductory Data Structures</p>\r\n </td>\r\n <td>\r\n <p>CSE280</p>\r\n </td>\r\n <td>\r\n <p>4</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>2</p>\r\n </td>\r\n <td>\r\n <p>Linux v&agrave; phần mềm m&atilde; nguồn mở</p>\r\n </td>\r\n <td>\r\n <p>Linux and Open Source Software</p>\r\n </td>\r\n <td>\r\n <p>CSE301</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n <td>\r\n <p>Ng&ocirc;n ngữ lập tr&igrave;nh n&acirc;ng cao</p>\r\n </td>\r\n <td>\r\n <p>Object Oriented and Advanced Programming</p>\r\n </td>\r\n <td>\r\n <p>CSE381</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>4</p>\r\n </td>\r\n <td>\r\n <p>C&ocirc;ng nghệ phần mềm</p>\r\n </td>\r\n <td>\r\n <p>Software Engineering</p>\r\n </td>\r\n <td>\r\n <p>CSE481</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>5</p>\r\n </td>\r\n <td>\r\n <p>Tương t&aacute;c người m&aacute;y</p>\r\n </td>\r\n <td>\r\n <p>User Interface Development</p>\r\n </td>\r\n <td>\r\n <p>CSE493</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>6</p>\r\n </td>\r\n <td>\r\n <p><em>Lập tr&igrave;nh ph&acirc;n t&aacute;n</em></p>\r\n </td>\r\n <td>\r\n <p><em>Distributed Programming</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE423</em></p>\r\n </td>\r\n <td>\r\n <p><em>3</em></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>7</p>\r\n </td>\r\n <td>\r\n <p><em>Thương mại điện tử</em></p>\r\n </td>\r\n <td>\r\n <p><em>E-Commerce</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE547</em></p>\r\n </td>\r\n <td>\r\n <p><em>3</em></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>8</p>\r\n </td>\r\n <td>\r\n <p><em>Thiết kế phần mềm n&acirc;ng cao</em></p>\r\n </td>\r\n <td>\r\n <p><em>Advanced Software Design</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE407</em></p>\r\n </td>\r\n <td>\r\n <p><em>3</em></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>9</p>\r\n </td>\r\n <td>\r\n <p><em>Ph&aacute;t triển dự &aacute;n phần mềm</em></p>\r\n </td>\r\n <td>\r\n <p><em>Software Project Development</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE411</em></p>\r\n </td>\r\n <td>\r\n <p><em>3</em></p>\r\n </td>\r\n </tr>\r\n </tbody>\r\n</table>\r\n\r\n<p><strong>&nbsp;</strong></p>\r\n', 1, '2020-11-13 20:12:37'), (46, 21, 16, 'Khoa học máy tính', '1605298432_1605289069-cntt.jpg', '<p>BM Khoa học m&aacute;y t&iacute;nh gồm 9 giảng vi&ecirc;n, giảng dạy c&aacute;c m&ocirc;n học đại cương, cơ sở chuy&ecirc;n ng&agrave;nh v&agrave; chuy&ecirc;n ng&agrave;nh khoa học m&aacute;y t&iacute;nh</p>\r\n\r\n<p><strong>Giới thiệu Bộ m&ocirc;n Khoa học m&aacute;y t&iacute;nh</strong></p>\r\n\r\n<p><strong>Ph&ograve;ng:&nbsp;</strong>200 -Nh&agrave; C1</p>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p><strong>Điện thoại:&nbsp;</strong>024.35637020</p>\r\n\r\n<p><strong>&nbsp;</strong></p>\r\n\r\n<p><strong>Về đ&agrave;o tạo:</strong>&nbsp;Bộ m&ocirc;n Khoa học m&aacute;y t&iacute;nh đảm nhiệm chức năng giảng dạy tin đại cương, m&ocirc;n tin cơ sở v&agrave; c&aacute;c m&ocirc;n thuộc&nbsp;chuy&ecirc;n ng&agrave;nh khoa học m&aacute;y t&iacute;nh. B&ecirc;n cạnh đ&oacute;, Bộ m&ocirc;n cũng tham gia giảng dạy c&aacute;c m&ocirc;n học hiện đại (như m&ocirc; phỏng số v&agrave; quản l&yacute; rủi ro,...) thuộc chương tr&igrave;nh ti&ecirc;n tiến của nh&agrave; trường.</p>\r\n\r\n<p><strong>Về nghi&ecirc;n cứu:</strong>&nbsp;Bộ m&ocirc;n c&oacute; hai hướng nghi&ecirc;n cứu ch&iacute;nh l&agrave; M&ocirc; h&igrave;nh ho&aacute;/ M&ocirc; phỏng v&agrave; Học m&aacute;y. Đặc biệt, Bộ m&ocirc;n tr&uacute; trọng nghi&ecirc;n cứu li&ecirc;n ng&agrave;nh với mục ti&ecirc;u kết hợp nghi&ecirc;n cứu với c&aacute;c chuy&ecirc;n&nbsp;ng&agrave;nh kh&aacute;c của c&ocirc;ng nghệ th&ocirc;ng tin cũng như của c&aacute;c ng&agrave;nh đặc th&ugrave; nhằm giải quyết c&aacute;c b&agrave;i to&aacute;n thực tế đặt ra.&nbsp;</p>\r\n\r\n<p><strong>&nbsp;</strong></p>\r\n\r\n<p><strong>C&aacute;n bộ của&nbsp;bộ m&ocirc;n</strong>:</p>\r\n\r\n<p>Số lượng c&aacute;n bộ: 9</p>\r\n\r\n<p>Phụ tr&aacute;ch bộ m&ocirc;n: TS. GVCC Nguyễn Huy Đức</p>\r\n\r\n<p><strong>C&aacute;c m&ocirc;n giảng dạy</strong></p>\r\n\r\n<table border="1" cellpadding="0" cellspacing="0" style="width:567px">\r\n <tbody>\r\n <tr>\r\n <td>\r\n <p><strong>STT</strong></p>\r\n </td>\r\n <td>\r\n <p><strong>T&ecirc;n m&ocirc;n</strong></p>\r\n </td>\r\n <td>\r\n <p><strong>T&ecirc;n tiếng anh</strong></p>\r\n </td>\r\n <td>\r\n <p><strong>M&atilde; m&ocirc;n</strong></p>\r\n </td>\r\n <td>\r\n <p><strong>Số t&iacute;n chỉ</strong></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>1</p>\r\n </td>\r\n <td>\r\n <p>Cấu tr&uacute;c dữ liệu v&agrave; giải thuật</p>\r\n </td>\r\n <td>\r\n <p>Data Structures and Algorithms</p>\r\n </td>\r\n <td>\r\n <p>CSE281</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>2</p>\r\n </td>\r\n <td>\r\n <p>Phương ph&aacute;p số</p>\r\n </td>\r\n <td>\r\n <p>Numerical Methods</p>\r\n </td>\r\n <td>\r\n <p>CSE371</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n <td>\r\n <p>L&yacute; thuyết t&iacute;nh to&aacute;n</p>\r\n </td>\r\n <td>\r\n <p>Theory of Computation</p>\r\n </td>\r\n <td>\r\n <p>CSE376</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>4</p>\r\n </td>\r\n <td>\r\n <p>Tr&iacute; tuệ nh&acirc;n tạo</p>\r\n </td>\r\n <td>\r\n <p>Introduction to Artificial Intelligence</p>\r\n </td>\r\n <td>\r\n <p>CSE492</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>5</p>\r\n </td>\r\n <td>\r\n <p>Kỹ thuật đồ hoạ</p>\r\n </td>\r\n <td>\r\n <p>Computer Graphics</p>\r\n </td>\r\n <td>\r\n <p>CSE487</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>6</p>\r\n </td>\r\n <td>\r\n <p><em>Thiết kế v&agrave; ph&aacute;t triển game</em></p>\r\n </td>\r\n <td>\r\n <p><em>Game Design and Development</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE494</em></p>\r\n </td>\r\n <td>\r\n <p><em>4</em></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>7</p>\r\n </td>\r\n <td>\r\n <p><em>Lập tr&igrave;nh đồ họa 3D</em></p>\r\n </td>\r\n <td>\r\n <p><em>3D Graphics Programming</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE415</em></p>\r\n </td>\r\n <td>\r\n <p><em>3</em></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>8</p>\r\n </td>\r\n <td>\r\n <p><em>Chương tr&igrave;nh dịch</em></p>\r\n </td>\r\n <td>\r\n <p><em>Introduction to Compiler Design</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE483</em></p>\r\n </td>\r\n <td>\r\n <p><em>3</em></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>9</p>\r\n </td>\r\n <td>\r\n <p><em>Truy hồi th&ocirc;ng tin v&agrave; t&igrave;m kiếm web</em></p>\r\n </td>\r\n <td>\r\n <p><em>Information Retrieval and Web Search</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE418</em></p>\r\n </td>\r\n <td>\r\n <p><em>3</em></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>10</p>\r\n </td>\r\n <td>\r\n <p><em>Tối ưu h&oacute;a</em></p>\r\n </td>\r\n <td>\r\n <p><em>Introduction to Optimization</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE414</em></p>\r\n </td>\r\n <td>\r\n <p><em>3</em></p>\r\n </td>\r\n </tr>\r\n </tbody>\r\n</table>\r\n', 1, '2020-11-13 20:13:52'), (47, 21, 16, 'Hệ thống thông tin', '1605299409_1605289085-httt.jpg', '<p>&nbsp;</p>\r\n\r\n<p><strong>2. Ph&oacute; Trưởng bộ m&ocirc;n: TS. Trẫn Mạnh Tuấn</strong></p>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p><strong>C&aacute;c m&ocirc;n giảng dạy</strong></p>\r\n\r\n<table border="1" cellpadding="0" cellspacing="0" style="width:577px">\r\n <tbody>\r\n <tr>\r\n <td>\r\n <p><strong>STT</strong></p>\r\n </td>\r\n <td>\r\n <p><strong>T&ecirc;n m&ocirc;n</strong></p>\r\n </td>\r\n <td>\r\n <p><strong>T&ecirc;n tiếng anh</strong></p>\r\n </td>\r\n <td>\r\n <p><strong>M&atilde; m&ocirc;n</strong></p>\r\n </td>\r\n <td>\r\n <p><strong>Số t&iacute;n chỉ</strong></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>1</p>\r\n </td>\r\n <td>\r\n <p>Cơ sở dữ liệu</p>\r\n </td>\r\n <td>\r\n <p>Database Systems</p>\r\n </td>\r\n <td>\r\n <p>CSE484</p>\r\n </td>\r\n <td>\r\n <p>4</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>2</p>\r\n </td>\r\n <td>\r\n <p>Hệ quản trị cơ sở dữ liệu</p>\r\n </td>\r\n <td>\r\n <p>Database Management Systems</p>\r\n </td>\r\n <td>\r\n <p>CSE486</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n <td>\r\n <p>Ph&acirc;n t&iacute;ch thiết kế hệ thống th&ocirc;ng tin</p>\r\n </td>\r\n <td>\r\n <p>Information Systems Analysis and Design</p>\r\n </td>\r\n <td>\r\n <p>CSE480</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>4</p>\r\n </td>\r\n <td>\r\n <p>C&ocirc;ng nghệ Web v&agrave; hệ thống th&ocirc;ng tin</p>\r\n </td>\r\n <td>\r\n <p>Web Database and Information Systems</p>\r\n </td>\r\n <td>\r\n <p>CSE485</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>5</p>\r\n </td>\r\n <td>\r\n <p>Ph&aacute;t triển ứng dụng&nbsp;cho&nbsp;c&aacute;c thiết bị di động</p>\r\n </td>\r\n <td>\r\n <p>Mobile Application Development</p>\r\n </td>\r\n <td>\r\n <p>CSE441</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>6</p>\r\n </td>\r\n <td>\r\n <p>Khai ph&aacute; dữ liệu</p>\r\n </td>\r\n <td>\r\n <p>Data mining</p>\r\n </td>\r\n <td>\r\n <p>CSE404</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>7</p>\r\n </td>\r\n <td>\r\n <p><em>Cơ sở dữ liệu n&acirc;ng cao</em></p>\r\n </td>\r\n <td>\r\n <p><em>Advanced database systems</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE584</em></p>\r\n </td>\r\n <td>\r\n <p><em>4</em></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>8</p>\r\n </td>\r\n <td>\r\n <p><em>Quản trị Hệ thống th&ocirc;ng tin</em></p>\r\n </td>\r\n <td>\r\n <p><em>Management Information System</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE405</em></p>\r\n </td>\r\n <td>\r\n <p><em>3</em></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>9</p>\r\n </td>\r\n <td>\r\n <p><em>Chuy&ecirc;n đề hệ thống th&ocirc;ng tin</em></p>\r\n </td>\r\n <td>\r\n <p><em>Information Systems Special Subject</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE424</em></p>\r\n </td>\r\n <td>\r\n <p><em>3</em></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>10</p>\r\n </td>\r\n <td>\r\n <p><em>Ph&acirc;n t&iacute;ch dữ liệu lớn</em></p>\r\n </td>\r\n <td>\r\n <p><em>Big data analytics</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE406</em></p>\r\n </td>\r\n <td>\r\n <p><em>3</em></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>11</p>\r\n </td>\r\n <td>\r\n <p><em>Hệ thống th&ocirc;ng tin địa l&yacute;</em></p>\r\n </td>\r\n <td>\r\n <p><em>Geographic Information Systems</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE425</em></p>\r\n </td>\r\n <td>\r\n <p><em>3</em></p>\r\n </td>\r\n </tr>\r\n </tbody>\r\n</table>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p>&quot; rows=&quot;4&quot;&gt;</p>\r\n', 0, '2020-11-13 20:30:44'); INSERT INTO `post` (`id`, `user_id`, `topic_id`, `title`, `image`, `content`, `published`, `created_at`) VALUES (48, 21, 16, 'Kĩ thật và mạng máy tính', '1605299486_1605286929-anh3.jpg', '<p>ộ m&ocirc;n Kỹ thuật MT v&agrave; mạng đảm nhiệm chức năng giảng dạy Tin đại cương, c&aacute;c m&ocirc;n cơ sở, chuy&ecirc;n ng&agrave;nh Kỹ thuật m&aacute;y t&iacute;nh v&agrave; mạng.</p>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p><strong>Giới thiệu Bộ m&ocirc;n Kỹ thuật m&aacute;y t&iacute;nh v&agrave; mạng</strong></p>\r\n\r\n<p><strong>&nbsp;</strong></p>\r\n\r\n<p><strong>Bộ m&ocirc;n Kỹ thuật m&aacute;y t&iacute;nh v&agrave; mạng đảm nhiệm chức năng giảng dạy tin đại cương, m&ocirc;n tin cơ sở v&agrave; chuy&ecirc;n ng&agrave;nh kỹ thuật m&aacute;y t&iacute;nh.</strong></p>\r\n\r\n<p><strong>&nbsp;</strong></p>\r\n\r\n<p><strong>Th&agrave;nh phần l&atilde;nh đạo bộ m&ocirc;n</strong>:</p>\r\n\r\n<p>&nbsp;<strong>P</strong><strong>h&oacute; Trưởng bộ m&ocirc;n:&nbsp;Ths Phạm Thanh B&igrave;nh</strong></p>\r\n\r\n<p><img alt="" src="http://cse.tlu.edu.vn/Portals/0/A%20Binh.jpg" /></p>\r\n\r\n<p>Tốt nghiệp Đại học B&aacute;ch Khoa năm 2000</p>\r\n\r\n<p>Thạc sỹ &nbsp;năm 2006 &nbsp;tại ĐH Đại học B&aacute;ch Khoa H&agrave; Nội</p>\r\n\r\n<p><strong>C&aacute;c m&ocirc;n học giảng dạy</strong></p>\r\n\r\n<p><strong>&nbsp;</strong></p>\r\n\r\n<table border="0" cellpadding="0" cellspacing="0" style="width:660px">\r\n <tbody>\r\n <tr>\r\n <td>\r\n <p><strong>STT</strong></p>\r\n </td>\r\n <td>\r\n <p><strong>T&ecirc;n m&ocirc;n</strong></p>\r\n </td>\r\n <td>\r\n <p><strong>T&ecirc;n tiếng anh</strong></p>\r\n </td>\r\n <td>\r\n <p><strong>M&atilde; m&ocirc;n</strong></p>\r\n </td>\r\n <td>\r\n <p><strong>Số t&iacute;n chỉ</strong></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>1</p>\r\n </td>\r\n <td>\r\n <p>Tin học đại cương</p>\r\n </td>\r\n <td>\r\n <p>Introduction to Engineering Programming</p>\r\n </td>\r\n <td>\r\n <p>ENGR111</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>2</p>\r\n </td>\r\n <td>\r\n <p>Kiến tr&uacute;c m&aacute;y t&iacute;nh</p>\r\n </td>\r\n <td>\r\n <p>Introduction to Computer Organization</p>\r\n </td>\r\n <td>\r\n <p>CSE370</p>\r\n </td>\r\n <td>\r\n <p>4</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n <td>\r\n <p>Ph&acirc;n t&iacute;ch v&agrave; xử l&yacute; t&iacute;n hiệu số</p>\r\n </td>\r\n <td>\r\n <p>Digital Signal Processing and Analysis</p>\r\n </td>\r\n <td>\r\n <p>CSE451</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>4</p>\r\n </td>\r\n <td>\r\n <p>Mạng m&aacute;y t&iacute;nh</p>\r\n </td>\r\n <td>\r\n <p>Computer Networks</p>\r\n </td>\r\n <td>\r\n <p>CSE489</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>5</p>\r\n </td>\r\n <td>\r\n <p>Hệ điều h&agrave;nh</p>\r\n </td>\r\n <td>\r\n <p>Introduction to Operating Systems</p>\r\n </td>\r\n <td>\r\n <p>CSE482</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>6</p>\r\n </td>\r\n <td>\r\n <p>An to&agrave;n v&agrave; bảo mật th&ocirc;ng tin</p>\r\n </td>\r\n <td>\r\n <p>Cryptography and Network Security Principles</p>\r\n </td>\r\n <td>\r\n <p>CSE488</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>7</p>\r\n </td>\r\n <td>\r\n <p>Xử l&yacute; ảnh</p>\r\n </td>\r\n <td>\r\n <p>Digital Image Processing</p>\r\n </td>\r\n <td>\r\n <p>CSE456</p>\r\n </td>\r\n <td>\r\n <p>3</p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>8</p>\r\n </td>\r\n <td>\r\n <p><em>Mạng kh&ocirc;ng d&acirc;y v&agrave; di động</em></p>\r\n </td>\r\n <td>\r\n <p><em>Wireless and Mobile Networks</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE419</em></p>\r\n </td>\r\n <td>\r\n <p><em>3</em></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>9</p>\r\n </td>\r\n <td>\r\n <p><em>Kỹ thuật truyền số liệu</em></p>\r\n </td>\r\n <td>\r\n <p><em>Data Communication</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE550</em></p>\r\n </td>\r\n <td>\r\n <p><em>3</em></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>10</p>\r\n </td>\r\n <td>\r\n <p><em>Thiết kế mạng</em></p>\r\n </td>\r\n <td>\r\n <p><em>Network Design</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE420</em></p>\r\n </td>\r\n <td>\r\n <p><em>3</em></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>11</p>\r\n </td>\r\n <td>\r\n <p><em>Lập tr&igrave;nh mạng</em></p>\r\n </td>\r\n <td>\r\n <p><em>Network Applications Programming</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE490</em></p>\r\n </td>\r\n <td>\r\n <p><em>4</em></p>\r\n </td>\r\n </tr>\r\n <tr>\r\n <td>\r\n <p>12</p>\r\n </td>\r\n <td>\r\n <p><em>Quản trị mạng</em></p>\r\n </td>\r\n <td>\r\n <p><em>Network Administration</em></p>\r\n </td>\r\n <td>\r\n <p><em>CSE421</em></p>\r\n </td>\r\n <td>\r\n <p><em>3</em></p>\r\n </td>\r\n </tr>\r\n </tbody>\r\n</table>\r\n', 1, '2020-11-13 20:31:26'), (49, 21, 18, 'CÔNG TY CP GIẢI PHÁP PHẦN MỀM TÀI CHÍNH (FSS) TUYỂN DỤNG', '1605299620_1605290829-anh2.jpg', '<h1>C&Ocirc;NG TY CP GIẢI PH&Aacute;P PHẦN MỀM T&Agrave;I CH&Iacute;NH (FSS) TUYỂN DỤNG</h1>\r\n\r\n<p><strong>C&Ocirc;NG TY CP GIẢI PH&Aacute;P PHẦN MỀM T&Agrave;I CH&Iacute;NH (FSS)</strong>&nbsp;l&agrave; C&ocirc;ng chuy&ecirc;n x&acirc;y dựng v&agrave; cung cấp c&aacute;c giải ph&aacute;p v&agrave; dịch vụ phần mềm cho c&aacute;c ng&acirc;n h&agrave;ng, c&aacute;c c&ocirc;ng ty chứng kho&aacute;n, c&aacute;c s&agrave;n giao dịch v&agrave; c&aacute;c kh&aacute;ch h&agrave;ng kh&aacute;c trong lĩnh vực dịch vụ t&agrave;i ch&iacute;nh tại Việt Nam.</p>\r\n\r\n<p><strong>LẬP TR&Igrave;NH CƠ SỞ DỮ LIỆU (Database Developer)</strong></p>\r\n\r\n<p>Tham gia c&aacute;c dự &aacute;n Data Warehouse &amp; Business Intelligence (BI)</p>\r\n\r\n<p>L&agrave;m việc tr&ecirc;n c&aacute;c phần mềm ETL (Extract, Transform, Load) chuy&ecirc;n dụng như: IBM Infosphere Information Server, Oracle Data Integrator (ODI), SAP Data Services,&hellip;.</p>\r\n\r\n<p>L&agrave;m việc tr&ecirc;n c&aacute;c c&ocirc;ng cụ BI (Business Intelligence) chuy&ecirc;n dụng như: IBM Cognos, Oracle Business Intelligence, SAP BusinessObjects, &hellip;.</p>\r\n\r\n<p>X&acirc;y dựng c&aacute;c ETL Jobs, procedure</p>\r\n\r\n<p>X&acirc;y dựng c&aacute;c loại b&aacute;o c&aacute;o tĩnh, b&aacute;o c&aacute;o động &amp; b&aacute;o c&aacute;o quản trị</p>\r\n\r\n<p>Tối ưu h&oacute;a c&aacute;c ETL Jobs, c&aacute;c c&acirc;u lệnh truy vấn dữ liệuVận h&agrave;nh hệ thống dịch vụ</p>\r\n\r\n<p><strong>LẬP TR&Igrave;NH NodeJS</strong></p>\r\n\r\n<p>Tham gia thiết kế v&agrave; lập tr&igrave;nh c&aacute;c dự &aacute;n phần mềm trong lĩnh vực Chứng kho&aacute;n.</p>\r\n\r\n<p><strong>PH&Acirc;N T&Iacute;CH NGHIỆP VỤ (Business Analyst)</strong></p>\r\n\r\n<p>Tiếp nhận, khảo s&aacute;t, thu thập y&ecirc;u cầu về nghiệp vụ &amp; quy tr&igrave;nh từ c&aacute;c hệ thống li&ecirc;n quan phục vụ phạm vi của dự &aacute;n;</p>\r\n\r\n<p>Ph&acirc;n t&iacute;ch luồng dữ liệu, b&aacute;o c&aacute;o Gặp gỡ trao đổi với kh&aacute;ch h&agrave;ng, đối t&aacute;c để thống nhất nghiệp vụ;</p>\r\n\r\n<p>T&agrave;i liệu h&oacute;a c&aacute;c y&ecirc;u cầu đặc tả chi tiết nghiệp vụ thuộc phạm vi dự &aacute;n X&acirc;y dựng/Review c&aacute;c trường hợp kiểm thử</p>\r\n\r\n<p><strong>Y&ecirc;u cầu:</strong></p>\r\n\r\n<p>Tốt nghiệp hoặc sắp tốt nghiệp ĐH chuy&ecirc;n ng&agrave;nh CNTT, khối ng&agrave;nh kinh tế, ng&acirc;n h&agrave;ng ph&ugrave; hợp với y&ecirc;u cầu c&ocirc;ng việc.</p>\r\n\r\n<p>C&oacute; khả năng học hỏi, nắm bắt v&agrave; l&agrave;m chủ c&ocirc;ng nghệ mới nhanh</p>\r\n\r\n<p>Ưu ti&ecirc;n c&aacute;c ứng vi&ecirc;n biết nghiệp vụ ng&acirc;n h&agrave;ng, t&agrave;i ch&iacute;nh</p>\r\n\r\n<p><strong>Mức lương:&nbsp;</strong>Thỏa thuận trực tiếp (khởi điểm từ 9.250.000 vnđ -12.000.000 vnđ đối với fresher)</p>\r\n\r\n<p><strong>Thưởng:</strong></p>\r\n\r\n<p>Thưởng th&acirc;m ni&ecirc;n (lương th&aacute;ng 13), thưởng hiệu quả kinh doanh (tết &acirc;m lịch), thưởng c&aacute;c ng&agrave;y lễ đặc biệt (sinh nhật&hellip;)</p>\r\n\r\n<p>Du lịch, teambuilding h&agrave;ng năm (năm 2020 tiền du lịch được chi tiền mặt cho fsser: 6 triệu + 2 ng&agrave;y nghỉ nguy&ecirc;n lương).</p>\r\n\r\n<p>Bảo hiểm x&atilde; hội, y tế, thất nghiệp, FSScare..</p>\r\n\r\n<p><strong>Cơ hội được gia nhập v&agrave;o đội ngũ nh&acirc;n sự nguồn FSS với c&aacute;c ưu đ&atilde;i đặc biệt:</strong></p>\r\n\r\n<p>- Tham gia c&aacute;c kh&oacute;a đ&agrave;o tạo miễn ph&iacute;</p>\r\n\r\n<p>- Hỗ trợ l&atilde;i suất vay vốn mua nh&agrave;, đất v&agrave; xe o t&ocirc;.</p>\r\n\r\n<p>- Ho&agrave;n tiền 5 ng&agrave;y ph&eacute;p chưa nghỉ h&agrave;ng năm</p>\r\n\r\n<p>- Bảo hiểm sức khỏe cho bản th&acirc;n v&agrave; 1 người th&acirc;n miễn ph&iacute;.</p>\r\n\r\n<p><strong>Email nhận CV:&nbsp;<EMAIL></strong></p>\r\n\r\n<p><strong>Điện thoại hỗ trợ: 094313663</strong></p>\r\n\r\n<p><strong>Website:&nbsp;</strong>https://www.fss.com.vn</p>\r\n\r\n<p><strong>Fanpage:&nbsp;</strong>https://www.facebook.com/fss.com.vn/</p>\r\n\r\n<p><strong>Linkedin:&nbsp;</strong>https://www.linkedin.com/in/financial-software-solutions-jsc-0a0a52129/</p>\r\n', 0, '2020-11-13 20:44:21'), (50, 21, 18, 'Xét tuyển học bạ', '1605299656_1605286616 - logo2.jpg', '<h1>Từ 0h00 ng&agrave;y 30/5 đến 1/8/2020, Th&iacute; sinh bắt đầu đăng k&yacute; trực tuyến x&eacute;t tuyển thẳng v&agrave; x&eacute;t tuyển học bạ v&agrave;o Trường Đại học Thủy lợi</h1>\r\n\r\n<p>Trường Đại học Thủy lợi x&eacute;t tuyển học bạ THPT dựa v&agrave;o tổng điểm trung b&igrave;nh 03 năm c&aacute;c m&ocirc;n trong tổ hợp x&eacute;t tuyển, kh&ocirc;ng t&iacute;nh học kỳ 2 năm lớp 12 đối với th&iacute; sinh tốt nghiệp năm 2020</p>\r\n\r\n<p><strong>Ngưỡng nhận hồ sơ:</strong></p>\r\n\r\n<p><strong>1/ Đối với m&atilde; ng&agrave;nh TLA:</strong>&nbsp;Nh&oacute;m ng&agrave;nh C&ocirc;ng nghệ th&ocirc;ng tin c&oacute; tổng điểm đạt từ 21,0;</p>\r\n\r\n<p>Ng&agrave;nh Kỹ thuật điện, Kỹ thuật điều khiển v&agrave; tự động h&oacute;a c&oacute; tổng điểm đạt từ 19,0;</p>\r\n\r\n<p>C&aacute;c ng&agrave;nh kh&aacute;c tổng điểm đạt từ 18,0.</p>\r\n\r\n<p><strong>2/ Đối với m&atilde; ng&agrave;nh TLS, PHA:&nbsp;</strong>Tổng điểm đạt từ 16,0 trở l&ecirc;n.</p>\r\n\r\n<p>Để đăng k&yacute; trực tuyến, th&iacute; sinh click k&iacute;ch v&agrave;o đường link sau:&nbsp;http://ts.tlu.edu.vn/xet-tuyen-truc-tuyen</p>\r\n', 1, '2020-11-13 20:34:16'), (51, 21, 19, 'Kì thi olympic tin học', '1605299835_1605287574-anh1.jpg', '<p>Olympic Tin học sinh vi&ecirc;n Việt Nam l&agrave; s&aacute;ng kiến của hội tin học Việt Nam, Hội sinh vi&ecirc;n Việt Nam v&agrave; Bộ gi&aacute;o dục v&agrave; đ&agrave;o tạo nhằm động vi&ecirc;n phong tr&agrave;o học tập tin học v&agrave; khuyến kh&iacute;ch c&aacute;c t&agrave;i năng tin học trẻ. Bắt đầu từ năm 1992, kỳ thi đ&atilde; được tổ chức định kỳ h&agrave;ng năm với sự tham gia của đ&ocirc;ng đảo sinh vi&ecirc;n c&aacute;c trường Đại học v&agrave; Cao đẳng trong cả nước.</p>\r\n\r\n<p>Từ năm 2006, Việt Nam ch&iacute;nh thức tổ chức Kỳ thi lập tr&igrave;nh vi&ecirc;n sinh vi&ecirc;n quốc tế ACM/ICPC ( ACM International Collegiate Programming Contess) khu vực Ch&acirc;u &Aacute;. Từ năm 2007, Olympic Tin học sinh vi&ecirc;n Việt Nam đ&atilde; kết nối tổ chức c&ugrave;ng thời điểm với kỳ thi ACM/ICPC th&agrave;nh một Hội thi tin học cho sinh vi&ecirc;n Việt nam v&agrave; khu vực Ch&acirc;u &Aacute;. Quy m&ocirc; v&agrave; phạm vi của kỳ thi được mở rộng.</p>\r\n\r\n<p>Năm 2019, kỳ thi Olympic Tin học sinh vi&ecirc;n&nbsp;to&agrave;n quốc c&oacute;&nbsp;sự tham dự của hơn 700 sinh vi&ecirc;n c&ocirc;ng nghệ th&ocirc;ng tin xuất sắc đến từ 100 trường ĐH, CĐ từ khắp mọi miền tr&ecirc;n cả nước v&agrave; 17 đội tuyển quốc tế đến từ c&aacute;c nước Nhật Bản, H&agrave;n Quốc, Singapore, Trung Quốc, Indonesia, Myanmar... Trong đ&oacute;,&nbsp;c&oacute; c&aacute;c đội tuyển đến từ c&aacute;c trường mạnh v&agrave; nổi tiếng trong lĩnh vực CNTT như Pekin University, ĐH Quốc gia Kyoto, ĐH Korea, ĐH Quốc gia Singapore, ĐH Quốc gia Indonesia.</p>\r\n\r\n<p>Đội tuyển Olympic Tin học Trường Đại học Thủy lợi gồm 7 sinh vi&ecirc;n do thầy Trương Xu&acirc;n Nam l&agrave;m trưởng đo&agrave;n đ&atilde; dự thi 3 nội dung: Chuy&ecirc;n tin học, Kh&ocirc;ng chuy&ecirc;n tin học (d&agrave;nh cho sinh vi&ecirc;n kh&ocirc;ng chuy&ecirc;n ng&agrave;nh CNTT v&agrave; sinh vi&ecirc;n năm nhất ng&agrave;nh CNTT) v&agrave; ICPC khu vực ch&acirc;u &Aacute;. Đ&acirc;y l&agrave; lần đầu ti&ecirc;n Nh&agrave; trường tham&nbsp;dự thi kỳ thi ICPC.</p>\r\n\r\n<p><img alt="" src="http://cse.tlu.edu.vn/Portals/0/2018/2019/khai-mac-icpc.jpg" /></p>\r\n\r\n<p>Đo&agrave;n dự thi đến từ Trường Đại học Thủy lợi</p>\r\n\r\n<p>Danh s&aacute;ch sinh vi&ecirc;n tham dự</p>\r\n\r\n<p><strong>Đội ICPI</strong></p>\r\n\r\n<ol>\r\n <li>Tưởng Thị Hồng Nhung&nbsp; 58HT</li>\r\n <li>Từ Việt Thảo&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 60HT</li>\r\n <li>L&ecirc; Viết Quyết&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 58TH2</li>\r\n</ol>\r\n\r\n<p><strong>Đội Chuy&ecirc;n Tin học</strong></p>\r\n\r\n<ol>\r\n <li>Tưởng Thị Hồng Nhung&nbsp; 58HT</li>\r\n <li>Từ Việt Thảo&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 60HT</li>\r\n <li>Trịnh Đ&igrave;nh Hiếu&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 60PM2.</li>\r\n</ol>\r\n\r\n<p><strong>Đội kh&ocirc;ng chuy&ecirc;n</strong></p>\r\n\r\n<ol>\r\n <li>Trần Quốc To&agrave;n&nbsp;&nbsp; 61PM2</li>\r\n <li>Tưởng Đăng Vương Quốc 61TH.NB</li>\r\n <li>Nguyễn Văn Tr&iacute;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 61PM1</li>\r\n</ol>\r\n\r\n<p>Với những nỗ lực của cả thầy v&agrave; tr&ograve; đ&atilde; đem về cho Nh&agrave; trường những kết quả đ&aacute;ng mừng. Cụ thể:</p>\r\n\r\n<p><strong>Khối chuy&ecirc;n tin</strong></p>\r\n\r\n<p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1.&nbsp; Từ Việt Thảo, lớp 60HT đạt giải Ba</p>\r\n\r\n<p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2. Tưởng Th<NAME>, lớp 58HT đạt giải Khuyến kh&iacute;ch</p>\r\n\r\n<p><strong>Khối kh&ocirc;ng chuy&ecirc;n</strong></p>\r\n\r\n<p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1. Trần Quốc Toản, lớp 61PM2 đạt giải Khuyến kh&iacute;ch</p>\r\n\r\n<p>&nbsp;Đội tuyển ICPC lần đầu tham dự xếp vị tr&iacute; 60/115 đội tuyển Quốc tế v&agrave; c&aacute;c đội mạnh từ c&aacute;c trường ĐH lớn trong nước; xếp thứ 46 trong số c&aacute;c đội tuyển từ Việt Nam; xếp thứ 20 trong số c&aacute;c trường ĐH ở Việt Nam.</p>\r\n\r\n<p>Ch&uacute;c mừng th&agrave;nh c&ocirc;ng của thầy v&agrave; tr&ograve; khoa CNTT &ndash; Đại học Thủy Lợi.</p>\r\n', 1, '2020-11-13 20:37:15'); -- -------------------------------------------------------- -- -- Cấu trúc bảng cho bảng `topic` -- CREATE TABLE `topic` ( `id` int(11) NOT NULL, `name` varchar(100) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Đang đổ dữ liệu cho bảng `topic` -- INSERT INTO `topic` (`id`, `name`) VALUES (14, 'Giới Thiệu'), (15, 'Đào Tạo'), (16, 'Bộ Môn'), (18, 'Thông Báo'), (19, 'Tin Tức'); -- -------------------------------------------------------- -- -- Cấu trúc bảng cho bảng `users` -- CREATE TABLE `users` ( `id` int(11) NOT NULL, `admin` tinyint(4) NOT NULL, `email` varchar(50) NOT NULL, `username` varchar(30) NOT NULL, `password` varchar(255) NOT NULL, `created_at` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE current_timestamp() ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Đang đổ dữ liệu cho bảng `users` -- INSERT INTO `users` (`id`, `admin`, `email`, `username`, `password`, `created_at`) VALUES (20, 1, '<EMAIL>', 'hieu123', '$2y$10$kwMo39irr0BRsDZRJb9nH.ovHsWoxXcBhsxDB5CaYn6PpHJPLfD3m', '2020-11-13 15:13:27'), (21, 1, '<EMAIL>', 'hieu11', '$2y$10$0M2dD3aCGWf6rsF//lgXB.ESlOQOz6eIu7stoWbvjB9ZVbJ3qDVfK', '2020-11-13 19:28:19'), (22, 0, '<EMAIL>', 'hieu27', '$2y$10$NGcxKmHu/0RP8ycIaf7LQ.ZTWBcQ8KvkkJx4Gzq7P4YiYpoodBeiW', '2020-11-13 18:27:27'), (23, 1, '<EMAIL>', 'hieu1133', '$2y$10$s5qeuYbhV1wSy6XD5f1i5upcuU5OKhSNqCItI30OO9hfpICIjUSPm', '2020-11-13 19:38:30'); -- -- Chỉ mục cho các bảng đã đổ -- -- -- Chỉ mục cho bảng `post` -- ALTER TABLE `post` ADD PRIMARY KEY (`id`), ADD KEY `topic_id` (`topic_id`); -- -- Chỉ mục cho bảng `topic` -- ALTER TABLE `topic` ADD PRIMARY KEY (`id`); -- -- Chỉ mục cho bảng `users` -- ALTER TABLE `users` ADD PRIMARY KEY (`id`); -- -- AUTO_INCREMENT cho các bảng đã đổ -- -- -- AUTO_INCREMENT cho bảng `post` -- ALTER TABLE `post` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=52; -- -- AUTO_INCREMENT cho bảng `topic` -- ALTER TABLE `topic` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=21; -- -- AUTO_INCREMENT cho bảng `users` -- ALTER TABLE `users` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=24; -- -- Các ràng buộc cho các bảng đã đổ -- -- -- Các ràng buộc cho bảng `post` -- ALTER TABLE `post` ADD CONSTRAINT `post_ibfk_1` FOREIGN KEY (`topic_id`) REFERENCES `topic` (`id`) ON DELETE SET NULL ON UPDATE CASCADE; COMMIT; /!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT /; /!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS /; /!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION /;
CREATE TABLE `fl_follow_result` ( `id` int(11) NOT NULL AUTO_INCREMENT, `fl_code` varchar(45) DEFAULT NULL, `crowno` int(11) DEFAULT NULL, `hid` int(11) DEFAULT NULL, `routineblood` int(1) DEFAULT NULL, `bloodbiochemistry` int(1) DEFAULT NULL, `nt` int(1) DEFAULT NULL, `ntnumber` double(20,8) DEFAULT NULL, `sexhormone` int(1) DEFAULT NULL, `ironmetabolism` int(1) DEFAULT NULL, `walk` int(1) DEFAULT NULL, `walkdistance` double(20,8) DEFAULT NULL, `ct` int(1) DEFAULT NULL, `cprt` int(1) DEFAULT NULL, `mri` int(1) DEFAULT NULL, `othercheck` varchar(200) DEFAULT NULL, `creationTime` datetime DEFAULT NULL, `creator` varchar(100) DEFAULT NULL, `modifiedTime` datetime DEFAULT NULL, `modifier` varchar(100) DEFAULT NULL, `ts` datetime DEFAULT NULL, `dr` int(1) DEFAULT NULL, PRIMARY KEY (`id`)) ENGINE=InnoDB DEFAULT CHARSET=utf8; INSERT INTO `guns`.`sys_menu` (`id`, `code`, `pcode`, `pcodes`, `name`, `icon`, `url`, `num`, `levels`, `ismenu`, `tips`, `status`, `isopen`) VALUES ('1065073600523730945', 'flFollowResult', 'system', '[0],[system],', '随访结果', '', '/flFollowResult', '99', '2', '1', NULL, '1', '0'); INSERT INTO `guns`.`sys_menu` (`id`, `code`, `pcode`, `pcodes`, `name`, `icon`, `url`, `num`, `levels`, `ismenu`, `tips`, `status`, `isopen`) VALUES ('1065073600523730946', 'flFollowResult_list', 'flFollowResult', '[0],[system],[flFollowResult],', '随访结果列表', '', '/flFollowResult/list', '99', '3', '0', NULL, '1', '0'); INSERT INTO `guns`.`sys_menu` (`id`, `code`, `pcode`, `pcodes`, `name`, `icon`, `url`, `num`, `levels`, `ismenu`, `tips`, `status`, `isopen`) VALUES ('1065073600523730947', 'flFollowResult_add', 'flFollowResult', '[0],[system],[flFollowResult],', '随访结果添加', '', '/flFollowResult/add', '99', '3', '0', NULL, '1', '0'); INSERT INTO `guns`.`sys_menu` (`id`, `code`, `pcode`, `pcodes`, `name`, `icon`, `url`, `num`, `levels`, `ismenu`, `tips`, `status`, `isopen`) VALUES ('1065073600523730948', 'flFollowResult_update', 'flFollowResult', '[0],[system],[flFollowResult],', '随访结果更新', '', '/flFollowResult/update', '99', '3', '0', NULL, '1', '0'); INSERT INTO `guns`.`sys_menu` (`id`, `code`, `pcode`, `pcodes`, `name`, `icon`, `url`, `num`, `levels`, `ismenu`, `tips`, `status`, `isopen`) VALUES ('1065073600523730949', 'flFollowResult_delete', 'flFollowResult', '[0],[system],[flFollowResult],', '随访结果删除', '', '/flFollowResult/delete', '99', '3', '0', NULL, '1', '0'); INSERT INTO `guns`.`sys_menu` (`id`, `code`, `pcode`, `pcodes`, `name`, `icon`, `url`, `num`, `levels`, `ismenu`, `tips`, `status`, `isopen`) VALUES ('1065073600523730950', 'flFollowResult_detail', 'flFollowResult', '[0],[system],[flFollowResult],', '随访结果详情', '', '/flFollowResult/detail', '99', '3', '0', NULL, '1', '0');
CREATE TABLE [dbo].[AzureWebServerLogFileInfo] ( AzureWebServerLogFileInfoId int not null primary key identity(1, 1), FileNameAndPath varchar(200) not null, FileName varchar(200) not null, FileSize bigint not null, LastModifiedDate datetime2(2) not null ) GO CREATE INDEX [IX_AzureWebServerLogFileInfo_FileNameAndPath] ON [dbo].[AzureWebServerLogFileInfo] (FileNameAndPath)
<gh_stars>1-10 /* Navicat Premium Data Transfer Source Server : 192.168.127.12-so1 Source Server Type : MySQL Source Server Version : 50718 Source Host : 192.168.127.12:3306 Source Schema : zcurd_base Target Server Type : MySQL Target Server Version : 50718 File Encoding : 65001 Date: 24/06/2018 15:30:12 */ SET NAMES utf8mb4; SET FOREIGN_KEY_CHECKS = 0; -- ---------------------------- -- Table structure for common_file -- ---------------------------- DROP TABLE IF EXISTS `common_file`; CREATE TABLE `common_file` ( `id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT, `type` int(11) NOT NULL COMMENT '分类（1：图片，2：文件）', `path` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL DEFAULT '' COMMENT '图片地址', `sys_user_id` int(11) NOT NULL COMMENT '系统用户', `create_time` timestamp(0) NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '文件管理' ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for sys_dict -- ---------------------------- DROP TABLE IF EXISTS `sys_dict`; CREATE TABLE `sys_dict` ( `id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT COMMENT 'id', `dict_type` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL DEFAULT '' COMMENT '类型', `dict_key` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL DEFAULT '' COMMENT '键', `dict_value` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL DEFAULT '' COMMENT '值', `create_time` timestamp(0) NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP(0) COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '数据字典' ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for sys_menu -- ---------------------------- DROP TABLE IF EXISTS `sys_menu`; CREATE TABLE `sys_menu` ( `id` int(11) NOT NULL AUTO_INCREMENT COMMENT 'id', `menu_name` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '菜单名称', `menu_url` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '菜单地址', `parent_id` int(11) DEFAULT NULL COMMENT '所属菜单', `icon` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '图标', `order_num` int(11) DEFAULT NULL COMMENT '顺序', `create_time` timestamp(0) NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 44 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '菜单' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of sys_menu -- ---------------------------- INSERT INTO `sys_menu` VALUES (1, '系统管理', NULL, 0, 'glyphicon-cog', 11, '2016-01-06 19:37:31'); INSERT INTO `sys_menu` VALUES (2, '在线表单', '/zcurdHead/list', 1, 'glyphicon-cloud', 1, '2016-01-07 21:41:21'); INSERT INTO `sys_menu` VALUES (3, '菜单管理', '/menu/list', 1, 'glyphicon-menu-hamburger', 2, '2016-01-06 19:37:38'); INSERT INTO `sys_menu` VALUES (4, '字典管理', '/zcurd/7/listPage', 1, 'glyphicon-book', 3, '2016-02-29 11:44:07'); INSERT INTO `sys_menu` VALUES (5, '用户管理', NULL, 0, 'glyphicon-user', 10, '2016-01-06 19:37:31'); INSERT INTO `sys_menu` VALUES (6, '角色管理', '/zcurd/8/listPage', 5, 'glyphicon-user', 1, '2016-01-07 03:32:08'); INSERT INTO `sys_menu` VALUES (7, '系统用户', '/zcurd/12/listPage', 5, 'glyphicon-king', 2, '2016-02-16 03:59:22'); INSERT INTO `sys_menu` VALUES (14, 'i易充管理平台', '/customer/listPage', 0, 'glyphicon-tower', 1, '2017-01-25 18:18:37'); INSERT INTO `sys_menu` VALUES (15, '微信充值', '/money/listPage', 14, 'glyphicon-off', 5, '2017-01-25 18:19:33'); INSERT INTO `sys_menu` VALUES (18, '设备管理', '/device/listPage', 22, 'glyphicon-print', 6, '2017-01-25 18:27:24'); INSERT INTO `sys_menu` VALUES (19, '用户管理', '/customer/listPage', 14, 'glyphicon-home', 1, '2017-03-30 23:41:46'); INSERT INTO `sys_menu` VALUES (20, '充卡记录', '/charge/listPage', 14, 'glyphicon-list-alt', 2, '2017-04-04 13:41:55'); INSERT INTO `sys_menu` VALUES (21, '挂失管理', '/lostcard/listPage', 14, 'glyphicon-glass', 3, '2017-04-04 17:03:49'); INSERT INTO `sys_menu` VALUES (22, '设备管理', NULL, 0, 'glyphicon-cog', 2, '2017-04-06 22:26:01'); INSERT INTO `sys_menu` VALUES (23, '秘钥管理', '/config/listPage', 22, 'glyphicon-indent-left', 7, '2017-04-06 22:27:29'); INSERT INTO `sys_menu` VALUES (24, '微信用户', '/tuser/listPage', 14, 'glyphicon-user', 8, '2017-04-06 23:00:22'); INSERT INTO `sys_menu` VALUES (25, '刷卡记录', '/cardlog/listPage', 14, 'glyphicon-inbox', 7, '2017-04-06 23:06:03'); INSERT INTO `sys_menu` VALUES (26, '内部管理', NULL, 0, 'glyphicon-eye-open', 5, '2017-04-06 23:07:26'); INSERT INTO `sys_menu` VALUES (27, '网络日志', '/zcurd/32/listPage', 26, 'glyphicon-plane', 1, '2017-04-06 23:08:06'); INSERT INTO `sys_menu` VALUES (28, '充电日志', '/zcurd/33/listPage', 26, 'glyphicon-off', 2, '2017-04-06 23:13:16'); INSERT INTO `sys_menu` VALUES (29, '微信消费', '/weixin/listPage', 14, 'glyphicon-hdd', 4, '2017-04-06 23:21:38'); INSERT INTO `sys_menu` VALUES (30, '优惠设置', '/zcurd/36/listPage', 26, 'glyphicon-star-empty', 4, '2017-04-06 23:24:18'); INSERT INTO `sys_menu` VALUES (31, '支付日志', '/zcurd/37/listPage', 26, 'glyphicon-qrcode', 3, '2017-04-06 23:27:22'); INSERT INTO `sys_menu` VALUES (33, '消费统计', '/weixinsum/listSumPage', 14, 'glyphicon-yen', 5, '2017-04-14 23:24:06'); INSERT INTO `sys_menu` VALUES (34, '充值统计', '/moneysum/listSumPage', 14, 'glyphicon-usd', 6, '2017-04-16 22:50:33'); INSERT INTO `sys_menu` VALUES (35, '功率日志', '/zcurd/38/listPage', 22, 'glyphicon-baby-formula', 8, '2017-04-22 18:45:34'); INSERT INTO `sys_menu` VALUES (38, '掉线日志', '/zcurd/39/listPage', 26, 'glyphicon-sort-by-attributes-alt', 6, '2017-08-31 21:50:30'); INSERT INTO `sys_menu` VALUES (39, '端口状态', '/zcurd/40/listPage', 26, 'glyphicon-hourglass', 7, '2017-08-31 21:51:30'); INSERT INTO `sys_menu` VALUES (40, '企业支付', NULL, 0, 'glyphicon-usd', 3, '2017-09-26 21:39:05'); INSERT INTO `sys_menu` VALUES (41, '代理付款', '/pay/listSumPage', 40, 'glyphicon-ruble', NULL, '2017-09-26 21:39:58'); INSERT INTO `sys_menu` VALUES (42, '付款记录', '/paylog/listPage', 40, 'glyphicon-time', 1, '2017-09-26 21:43:07'); INSERT INTO `sys_menu` VALUES (43, '代理设置', '/zcurd/41/listPage', 40, 'glyphicon-th-list', 3, '2017-09-26 21:43:53'); -- ---------------------------- -- Table structure for sys_menu_btn -- ---------------------------- DROP TABLE IF EXISTS `sys_menu_btn`; CREATE TABLE `sys_menu_btn` ( `id` int(11) NOT NULL AUTO_INCREMENT COMMENT 'id', `menu_id` int(11) DEFAULT NULL COMMENT '所属菜单', `btn_name` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '按钮名称', `class_name` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '页面class名称', `method_name` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '后台method名称', `create_time` timestamp(0) NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE, INDEX `FK_Reference_1`(`menu_id`) USING BTREE, CONSTRAINT `FK_Reference_1` FOREIGN KEY (`menu_id`) REFERENCES `sys_menu` (`id`) ON DELETE CASCADE ON UPDATE RESTRICT ) ENGINE = InnoDB AUTO_INCREMENT = 86 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '菜单按钮' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of sys_menu_btn -- ---------------------------- INSERT INTO `sys_menu_btn` VALUES (17, 2, '删除', 'delBtn', 'delete', '2016-10-25 09:02:54'); INSERT INTO `sys_menu_btn` VALUES (19, 7, '增加', 'addBtn', 'add,addPage', '2016-10-25 09:09:15'); INSERT INTO `sys_menu_btn` VALUES (20, 7, '修改', 'updateBtn', 'update,updatePage', '2016-10-25 09:09:15'); INSERT INTO `sys_menu_btn` VALUES (21, 7, '删除', 'delBtn', 'delete', '2016-10-25 09:09:15'); INSERT INTO `sys_menu_btn` VALUES (22, 7, '导出', 'exportBtn', 'exportCsv', '2016-10-25 09:09:15'); INSERT INTO `sys_menu_btn` VALUES (25, 6, '删除', 'delBtn', 'delete', '2016-10-25 09:11:01'); INSERT INTO `sys_menu_btn` VALUES (26, 18, '增加', 'addBtn', 'add,addPage', '2017-01-25 18:49:18'); INSERT INTO `sys_menu_btn` VALUES (27, 18, '修改', 'updateBtn', 'update,updatePage', '2017-01-25 18:49:18'); INSERT INTO `sys_menu_btn` VALUES (28, 18, '删除', 'delBtn', 'delete', '2017-01-25 18:49:18'); INSERT INTO `sys_menu_btn` VALUES (29, 18, '导出', 'exportBtn', 'exportCsv', '2017-01-25 18:49:18'); INSERT INTO `sys_menu_btn` VALUES (30, 15, '增加', 'addBtn', 'add,addPage', '2017-01-25 18:49:57'); INSERT INTO `sys_menu_btn` VALUES (31, 15, '修改', 'updateBtn', 'update,updatePage', '2017-01-25 18:49:57'); INSERT INTO `sys_menu_btn` VALUES (32, 15, '删除', 'delBtn', 'delete', '2017-01-25 18:49:57'); INSERT INTO `sys_menu_btn` VALUES (33, 15, '导出', 'exportBtn', 'exportCsv', '2017-01-25 18:49:57'); INSERT INTO `sys_menu_btn` VALUES (44, 19, '增加', 'addBtn', 'add,addPage', '2017-04-04 16:50:07'); INSERT INTO `sys_menu_btn` VALUES (45, 19, '修改', 'updateBtn', 'update,updatePage', '2017-04-04 16:50:07'); INSERT INTO `sys_menu_btn` VALUES (46, 19, '删除', 'delBtn', 'delete', '2017-04-04 16:50:07'); INSERT INTO `sys_menu_btn` VALUES (47, 19, '导出', 'exportBtn', 'exportCsv', '2017-04-04 16:50:07'); INSERT INTO `sys_menu_btn` VALUES (48, 20, '增加', 'addBtn', 'add,addPage', '2017-04-04 16:50:15'); INSERT INTO `sys_menu_btn` VALUES (49, 20, '修改', 'updateBtn', 'update,updatePage', '2017-04-04 16:50:15'); INSERT INTO `sys_menu_btn` VALUES (50, 20, '删除', 'delBtn', 'delete', '2017-04-04 16:50:15'); INSERT INTO `sys_menu_btn` VALUES (51, 20, '导出', 'exportBtn', 'exportCsv', '2017-04-04 16:50:15'); INSERT INTO `sys_menu_btn` VALUES (52, 21, '增加', 'addBtn', 'add,addPage', '2017-04-04 17:19:12'); INSERT INTO `sys_menu_btn` VALUES (53, 21, '修改', 'updateBtn', 'update,updatePage', '2017-04-04 17:19:12'); INSERT INTO `sys_menu_btn` VALUES (54, 21, '删除', 'delBtn', 'delete', '2017-04-04 17:19:12'); INSERT INTO `sys_menu_btn` VALUES (55, 21, '导出', 'exportBtn', 'exportCsv', '2017-04-04 17:19:12'); INSERT INTO `sys_menu_btn` VALUES (57, 23, '增加', 'addBtn', 'add,addPage', '2017-04-17 14:49:12'); INSERT INTO `sys_menu_btn` VALUES (58, 23, '修改', 'updateBtn', 'update,updatePage', '2017-04-17 14:49:12'); INSERT INTO `sys_menu_btn` VALUES (59, 23, '删除', 'delBtn', 'delete', '2017-04-17 14:49:12'); INSERT INTO `sys_menu_btn` VALUES (60, 23, '导出', 'exportBtn', 'exportCsv', '2017-04-17 14:49:12'); INSERT INTO `sys_menu_btn` VALUES (61, 29, '增加', 'addBtn', 'add,addPage', '2017-04-17 22:06:56'); INSERT INTO `sys_menu_btn` VALUES (62, 29, '修改', 'updateBtn', 'update,updatePage', '2017-04-17 22:06:56'); INSERT INTO `sys_menu_btn` VALUES (63, 29, '删除', 'delBtn', 'delete', '2017-04-17 22:06:56'); INSERT INTO `sys_menu_btn` VALUES (64, 29, '导出', 'exportBtn', 'exportCsv', '2017-04-17 22:06:56'); INSERT INTO `sys_menu_btn` VALUES (65, 27, '增加', 'addBtn', 'add,addPage', '2017-04-18 15:09:57'); INSERT INTO `sys_menu_btn` VALUES (66, 27, '修改', 'updateBtn', 'update,updatePage', '2017-04-18 15:09:57'); INSERT INTO `sys_menu_btn` VALUES (67, 27, '删除', 'delBtn', 'delete', '2017-04-18 15:09:57'); INSERT INTO `sys_menu_btn` VALUES (68, 27, '导出', 'exportBtn', 'exportCsv', '2017-04-18 15:09:57'); INSERT INTO `sys_menu_btn` VALUES (69, 28, '增加', 'addBtn', 'add,addPage', '2017-04-18 15:10:03'); INSERT INTO `sys_menu_btn` VALUES (70, 28, '修改', 'updateBtn', 'update,updatePage', '2017-04-18 15:10:03'); INSERT INTO `sys_menu_btn` VALUES (71, 28, '删除', 'delBtn', 'delete', '2017-04-18 15:10:03'); INSERT INTO `sys_menu_btn` VALUES (72, 28, '导出', 'exportBtn', 'exportCsv', '2017-04-18 15:10:03'); INSERT INTO `sys_menu_btn` VALUES (73, 25, '增加', 'addBtn', 'add,addPage', '2017-04-18 15:11:37'); INSERT INTO `sys_menu_btn` VALUES (74, 25, '修改', 'updateBtn', 'update,updatePage', '2017-04-18 15:11:37'); INSERT INTO `sys_menu_btn` VALUES (75, 25, '删除', 'delBtn', 'delete', '2017-04-18 15:11:37'); INSERT INTO `sys_menu_btn` VALUES (76, 25, '导出', 'exportBtn', 'exportCsv', '2017-04-18 15:11:37'); INSERT INTO `sys_menu_btn` VALUES (77, 34, '增加', 'addBtn', 'add,addPage', '2017-04-18 15:11:41'); INSERT INTO `sys_menu_btn` VALUES (78, 34, '修改', 'updateBtn', 'update,updatePage', '2017-04-18 15:11:41'); INSERT INTO `sys_menu_btn` VALUES (79, 34, '删除', 'delBtn', 'delete', '2017-04-18 15:11:41'); INSERT INTO `sys_menu_btn` VALUES (80, 34, '导出', 'exportBtn', 'exportCsv', '2017-04-18 15:11:41'); INSERT INTO `sys_menu_btn` VALUES (81, 18, '授权用户', 'authorizeBtn', 'authorize,authorizePage', '2017-05-01 19:03:15'); INSERT INTO `sys_menu_btn` VALUES (82, 33, '增加', 'addBtn', 'add,addPage', '2017-06-22 15:02:37'); INSERT INTO `sys_menu_btn` VALUES (83, 33, '修改', 'updateBtn', 'update,updatePage', '2017-06-22 15:02:37'); INSERT INTO `sys_menu_btn` VALUES (84, 33, '删除', 'delBtn', 'delete', '2017-06-22 15:02:37'); INSERT INTO `sys_menu_btn` VALUES (85, 33, '导出', 'exportBtn', 'exportCsv', '2017-06-22 15:02:37'); -- ---------------------------- -- Table structure for sys_menu_datarule -- ---------------------------- DROP TABLE IF EXISTS `sys_menu_datarule`; CREATE TABLE `sys_menu_datarule` ( `id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT COMMENT 'id', `menu_id` int(11) DEFAULT NULL COMMENT '菜单', `field_name` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '字段名称', `symbol` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '符号', `value` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT 'sql条件值', `create_time` timestamp(0) DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 6 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of sys_menu_datarule -- ---------------------------- INSERT INTO `sys_menu_datarule` VALUES (3, 12, 'status', '=', '${user.id}', '2016-09-27 00:16:00'); INSERT INTO `sys_menu_datarule` VALUES (4, 7, 'user_name', '!=', 'admin', '2016-10-25 09:10:03'); INSERT INTO `sys_menu_datarule` VALUES (5, 2, 'id', '>', '17', '2016-10-25 09:12:18'); -- ---------------------------- -- Table structure for sys_oplog -- ---------------------------- DROP TABLE IF EXISTS `sys_oplog`; CREATE TABLE `sys_oplog` ( `id` int(11) NOT NULL AUTO_INCREMENT COMMENT 'id', `user_id` int(11) DEFAULT NULL COMMENT '用户', `op_content` varchar(1000) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '操作内容', `ip` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT 'ip', `create_time` datetime(0) DEFAULT NULL COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = MyISAM AUTO_INCREMENT = 4512 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '系统操作日志' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of sys_oplog -- ---------------------------- INSERT INTO `sys_oplog` VALUES (2926, 1, '登陆系统', '172.16.17.32', '2018-05-15 15:08:08'); INSERT INTO `sys_oplog` VALUES (2927, 1, '登陆系统', '172.16.17.32', '2018-05-15 15:11:06'); INSERT INTO `sys_oplog` VALUES (2928, 1, '登陆系统', '172.16.17.32', '2018-05-15 15:17:11'); INSERT INTO `sys_oplog` VALUES (2929, 1, '登陆系统', '192.168.127.12', '2018-05-15 15:21:25'); INSERT INTO `sys_oplog` VALUES (2930, 1, '登陆系统', '172.16.17.32', '2018-05-15 23:11:58'); INSERT INTO `sys_oplog` VALUES (2931, 1, '[在线用户] 修改', '172.16.17.32', '2018-05-15 23:21:17'); INSERT INTO `sys_oplog` VALUES (2932, 1, '[在线用户] 修改', '172.16.17.32', '2018-05-15 23:22:15'); INSERT INTO `sys_oplog` VALUES (2933, 1, '[在线用户] 修改', '172.16.17.32', '2018-05-15 23:22:46'); INSERT INTO `sys_oplog` VALUES (2934, 1, '[在线用户] 修改', '172.16.17.32', '2018-05-15 23:23:16'); INSERT INTO `sys_oplog` VALUES (2935, 1, '[优惠设置] 删除', '172.16.17.32', '2018-05-15 23:25:07'); INSERT INTO `sys_oplog` VALUES (2936, 1, '[优惠设置] 增加', '172.16.17.32', '2018-05-15 23:28:32'); INSERT INTO `sys_oplog` VALUES (2937, 1, '[优惠设置] 修改', '172.16.17.32', '2018-05-15 23:28:58'); INSERT INTO `sys_oplog` VALUES (2938, 1, '[在线用户] 修改', '172.16.17.32', '2018-05-15 23:31:47'); INSERT INTO `sys_oplog` VALUES (2939, 1, '登陆系统', '172.16.17.32', '2018-05-16 09:11:02'); INSERT INTO `sys_oplog` VALUES (2940, 1, '登陆系统', '172.16.58.3', '2018-05-16 11:03:25'); INSERT INTO `sys_oplog` VALUES (2941, 1, '登陆系统', '192.168.127.12', '2018-05-16 14:13:50'); INSERT INTO `sys_oplog` VALUES (2942, 1, '登陆系统', '192.168.3.11', '2018-05-17 17:44:59'); INSERT INTO `sys_oplog` VALUES (2943, 1, '登陆系统', '172.16.17.32', '2018-05-22 16:58:01'); INSERT INTO `sys_oplog` VALUES (2944, 1, '登陆系统', '192.168.3.11', '2018-05-22 18:00:13'); INSERT INTO `sys_oplog` VALUES (2945, 1, '登陆系统', '192.168.3.11', '2018-05-22 18:10:37'); INSERT INTO `sys_oplog` VALUES (2946, 1, '[在线用户] 导出cvs', '172.16.17.32', '2018-05-22 18:15:54'); INSERT INTO `sys_oplog` VALUES (2947, 1, '登陆系统', '172.16.17.32', '2018-05-22 18:27:49'); INSERT INTO `sys_oplog` VALUES (2948, 1, '[设备记录] 增加', '172.16.17.32', '2018-05-22 18:31:59'); INSERT INTO `sys_oplog` VALUES (2949, 1, '设备1:1被删除', '172.16.17.32', '2018-05-22 18:32:03'); INSERT INTO `sys_oplog` VALUES (2950, 1, '[设备记录] 删除', '172.16.17.32', '2018-05-22 18:32:03'); INSERT INTO `sys_oplog` VALUES (2951, 1, '[设备记录] 增加', '172.16.17.32', '2018-05-22 19:08:20'); INSERT INTO `sys_oplog` VALUES (2952, 1, '登陆系统', '172.16.17.32', '2018-05-22 19:11:55'); INSERT INTO `sys_oplog` VALUES (2953, 1, '登陆系统', '172.16.17.32', '2018-05-22 19:14:54'); INSERT INTO `sys_oplog` VALUES (2954, 1, '登陆系统', '172.16.17.32', '2018-05-22 19:18:14'); INSERT INTO `sys_oplog` VALUES (2955, 1, '[设备记录] 修改', '172.16.17.32', '2018-05-22 19:38:51'); INSERT INTO `sys_oplog` VALUES (2956, 1, '登陆系统', '172.16.17.32', '2018-05-22 19:46:38'); INSERT INTO `sys_oplog` VALUES (2957, 1, '登陆系统', '172.16.17.32', '2018-05-23 09:30:46'); INSERT INTO `sys_oplog` VALUES (2958, 1, '设备三兴园1号车棚:3423048203849被删除', '172.16.17.32', '2018-05-23 09:32:19'); INSERT INTO `sys_oplog` VALUES (2959, 1, '[设备记录] 删除', '172.16.17.32', '2018-05-23 09:32:19'); INSERT INTO `sys_oplog` VALUES (2960, 1, '[设备记录] 增加', '172.16.17.32', '2018-05-23 09:36:23'); INSERT INTO `sys_oplog` VALUES (2961, 1, '[设备记录] 修改', '172.16.17.32', '2018-05-23 09:36:54'); INSERT INTO `sys_oplog` VALUES (2962, 1, '[在线用户] 修改', '123.149.208.25', '2018-05-23 09:51:08'); INSERT INTO `sys_oplog` VALUES (2963, 1, '[设备记录] 增加', '172.16.17.32', '2018-05-23 10:41:26'); INSERT INTO `sys_oplog` VALUES (2964, 1, '[设备记录] 修改', '172.16.17.32', '2018-05-23 10:42:02'); INSERT INTO `sys_oplog` VALUES (2965, 1, '[设备记录] 增加', '172.16.17.32', '2018-05-23 10:43:17'); INSERT INTO `sys_oplog` VALUES (2966, 1, '[设备记录] 修改', '172.16.17.32', '2018-05-23 10:43:33'); INSERT INTO `sys_oplog` VALUES (2967, 1, '[设备记录] 增加', '172.16.17.32', '2018-05-23 10:44:38'); INSERT INTO `sys_oplog` VALUES (2968, 1, '[设备记录] 修改', '172.16.17.32', '2018-05-23 10:44:52'); INSERT INTO `sys_oplog` VALUES (2969, 1, '[设备记录] 增加', '172.16.17.32', '2018-05-23 10:45:45'); INSERT INTO `sys_oplog` VALUES (2970, 1, '[设备记录] 修改', '172.16.17.32', '2018-05-23 10:46:05'); INSERT INTO `sys_oplog` VALUES (2971, 1, '[设备记录] 增加', '172.16.17.32', '2018-05-23 10:47:28'); INSERT INTO `sys_oplog` VALUES (2972, 1, '[设备记录] 修改', '172.16.17.32', '2018-05-23 10:47:38'); INSERT INTO `sys_oplog` VALUES (2973, 1, '[设备记录] 增加', '172.16.17.32', '2018-05-23 10:48:51'); INSERT INTO `sys_oplog` VALUES (2974, 1, '[设备记录] 修改', '172.16.17.32', '2018-05-23 10:48:59'); INSERT INTO `sys_oplog` VALUES (2975, 1, '[设备记录] 增加', '172.16.17.32', '2018-05-23 10:50:02'); INSERT INTO `sys_oplog` VALUES (2976, 1, '[设备记录] 修改', '172.16.17.32', '2018-05-23 10:50:12'); INSERT INTO `sys_oplog` VALUES (2977, 1, '[设备记录] 增加', '172.16.17.32', '2018-05-23 10:51:05'); INSERT INTO `sys_oplog` VALUES (2978, 1, '[设备记录] 修改', '172.16.17.32', '2018-05-23 10:51:20'); INSERT INTO `sys_oplog` VALUES (2979, 1, '[设备记录] 增加', '172.16.17.32', '2018-05-23 10:52:38'); INSERT INTO `sys_oplog` VALUES (2980, 1, '[设备记录] 修改', '172.16.17.32', '2018-05-23 10:52:47'); INSERT INTO `sys_oplog` VALUES (2981, 1, '登陆系统', '192.168.3.11', '2018-05-23 14:57:50'); INSERT INTO `sys_oplog` VALUES (2982, 1, '设备290000006:356566077526895被删除', '192.168.3.11', '2018-05-23 14:58:05'); INSERT INTO `sys_oplog` VALUES (2983, 1, '[设备记录] 删除', '192.168.3.11', '2018-05-23 14:58:05'); INSERT INTO `sys_oplog` VALUES (2984, 1, '[设备记录] 增加', '192.168.3.11', '2018-05-23 14:58:44'); INSERT INTO `sys_oplog` VALUES (2985, 1, '[设备记录] 修改', '192.168.3.11', '2018-05-23 14:59:00'); INSERT INTO `sys_oplog` VALUES (2986, 1, '[在线用户] 修改', '192.168.3.11', '2018-05-23 17:03:12'); INSERT INTO `sys_oplog` VALUES (2987, 1, '登陆系统', '172.16.17.32', '2018-05-23 18:46:52'); INSERT INTO `sys_oplog` VALUES (2988, 1, '[菜单管理] 修改', '192.168.3.11', '2018-05-23 19:05:05'); INSERT INTO `sys_oplog` VALUES (2989, 1, '[菜单管理] 修改', '192.168.3.11', '2018-05-23 19:06:08'); INSERT INTO `sys_oplog` VALUES (2990, 1, '[菜单管理] 修改', '192.168.3.11', '2018-05-23 19:08:41'); INSERT INTO `sys_oplog` VALUES (2991, 1, '[菜单管理] 修改', '192.168.3.11', '2018-05-23 19:09:31'); INSERT INTO `sys_oplog` VALUES (2992, 1, '[菜单管理] 修改', '192.168.3.11', '2018-05-23 19:10:09'); INSERT INTO `sys_oplog` VALUES (2993, 1, '登陆系统', '172.16.58.3', '2018-05-24 08:51:00'); INSERT INTO `sys_oplog` VALUES (2994, 1, '登陆系统', '172.16.17.32', '2018-05-24 09:34:38'); INSERT INTO `sys_oplog` VALUES (2995, 1, '登陆系统', '172.16.17.32', '2018-05-24 14:11:09'); INSERT INTO `sys_oplog` VALUES (2996, 1, '[在线用户] 导出cvs', '172.16.17.32', '2018-05-24 14:11:57'); INSERT INTO `sys_oplog` VALUES (2997, 1, '登陆系统', '192.168.3.11', '2018-05-24 15:24:11'); INSERT INTO `sys_oplog` VALUES (2998, 1, '[在线用户] 修改', '192.168.3.11', '2018-05-24 15:24:22'); INSERT INTO `sys_oplog` VALUES (2999, 1, '登陆系统', '172.16.17.32', '2018-05-24 18:00:57'); INSERT INTO `sys_oplog` VALUES (3000, 1, '[在线用户] 修改', '172.16.17.32', '2018-05-24 18:01:07'); INSERT INTO `sys_oplog` VALUES (3001, 1, '登陆系统', '172.16.58.3', '2018-05-24 20:24:16'); INSERT INTO `sys_oplog` VALUES (3002, 1, '[设备记录] 修改', '172.16.58.3', '2018-05-24 20:28:23'); INSERT INTO `sys_oplog` VALUES (3003, 1, '[设备记录] 修改', '172.16.58.3', '2018-05-24 21:42:21'); INSERT INTO `sys_oplog` VALUES (3004, 1, '[设备记录] 修改', '172.16.58.3', '2018-05-24 21:43:34'); INSERT INTO `sys_oplog` VALUES (3005, 1, '[设备记录] 修改', '172.16.58.3', '2018-05-24 21:45:39'); INSERT INTO `sys_oplog` VALUES (3006, 1, '[设备记录] 修改', '172.16.58.3', '2018-05-24 21:46:25'); INSERT INTO `sys_oplog` VALUES (3007, 1, '[设备记录] 修改', '172.16.58.3', '2018-05-24 21:47:29'); INSERT INTO `sys_oplog` VALUES (3008, 1, '[设备记录] 修改', '172.16.58.3', '2018-05-24 21:47:45'); INSERT INTO `sys_oplog` VALUES (3009, 1, '[设备记录] 修改', '172.16.58.3', '2018-05-24 21:48:06'); INSERT INTO `sys_oplog` VALUES (3010, 1, '设备公司测试-有线联网:356566071249973被删除', '172.16.58.3', '2018-05-24 21:49:09'); INSERT INTO `sys_oplog` VALUES (3011, 1, '[设备记录] 删除', '172.16.58.3', '2018-05-24 21:49:09'); INSERT INTO `sys_oplog` VALUES (3012, 1, '登陆系统', '172.16.17.32', '2018-05-25 09:39:20'); INSERT INTO `sys_oplog` VALUES (3013, 1, '登陆系统', '172.16.17.32', '2018-05-25 09:41:06'); INSERT INTO `sys_oplog` VALUES (3014, 1, '登陆系统', '172.16.17.32', '2018-05-25 10:41:10'); INSERT INTO `sys_oplog` VALUES (3015, 1, '[设备记录] 增加', '172.16.31.10', '2018-05-25 11:19:41'); INSERT INTO `sys_oplog` VALUES (3016, 1, '[设备记录] 修改', '172.16.31.10', '2018-05-25 11:22:08'); INSERT INTO `sys_oplog` VALUES (3017, 1, '[设备记录] 增加', '192.168.3.11', '2018-05-25 11:37:24'); INSERT INTO `sys_oplog` VALUES (3018, 1, '[设备记录] 修改', '192.168.3.11', '2018-05-25 11:37:43'); INSERT INTO `sys_oplog` VALUES (3019, 1, '[设备记录] 增加', '192.168.3.11', '2018-05-25 11:52:23'); INSERT INTO `sys_oplog` VALUES (3020, 1, '[设备记录] 修改', '192.168.3.11', '2018-05-25 11:52:42'); INSERT INTO `sys_oplog` VALUES (3021, 1, '[设备记录] 增加', '172.16.31.10', '2018-05-25 12:08:46'); INSERT INTO `sys_oplog` VALUES (3022, 1, '[设备记录] 修改', '172.16.31.10', '2018-05-25 12:09:00'); INSERT INTO `sys_oplog` VALUES (3023, 1, '[设备记录] 增加', '172.16.31.10', '2018-05-25 12:29:45'); INSERT INTO `sys_oplog` VALUES (3024, 1, '[设备记录] 修改', '172.16.31.10', '2018-05-25 12:29:59'); INSERT INTO `sys_oplog` VALUES (3025, 1, '[设备记录] 增加', '192.168.3.11', '2018-05-25 12:40:19'); INSERT INTO `sys_oplog` VALUES (3026, 1, '[设备记录] 修改', '192.168.3.11', '2018-05-25 12:40:31'); INSERT INTO `sys_oplog` VALUES (3027, 1, '[设备记录] 增加', '192.168.3.11', '2018-05-25 13:46:26'); INSERT INTO `sys_oplog` VALUES (3028, 1, '[设备记录] 修改', '192.168.3.11', '2018-05-25 13:46:47'); INSERT INTO `sys_oplog` VALUES (3029, 1, '[设备记录] 增加', '192.168.3.11', '2018-05-25 14:03:32'); INSERT INTO `sys_oplog` VALUES (3030, 1, '[设备记录] 修改', '192.168.3.11', '2018-05-25 14:03:45'); INSERT INTO `sys_oplog` VALUES (3031, 1, '[设备记录] 增加', '192.168.3.11', '2018-05-25 14:18:04'); INSERT INTO `sys_oplog` VALUES (3032, 1, '[设备记录] 修改', '192.168.3.11', '2018-05-25 14:18:17'); INSERT INTO `sys_oplog` VALUES (3033, 1, '[设备记录] 增加', '192.168.3.11', '2018-05-25 14:28:34'); INSERT INTO `sys_oplog` VALUES (3034, 1, '[设备记录] 修改', '192.168.3.11', '2018-05-25 14:29:06'); INSERT INTO `sys_oplog` VALUES (3035, 1, '[设备记录] 增加', '172.16.31.10', '2018-05-25 14:45:35'); INSERT INTO `sys_oplog` VALUES (3036, 1, '[设备记录] 修改', '172.16.31.10', '2018-05-25 14:46:09'); INSERT INTO `sys_oplog` VALUES (3037, 1, '[设备记录] 增加', '192.168.3.11', '2018-05-25 14:55:59'); INSERT INTO `sys_oplog` VALUES (3038, 1, '[设备记录] 修改', '192.168.3.11', '2018-05-25 14:56:12'); INSERT INTO `sys_oplog` VALUES (3039, 1, '[设备记录] 增加', '192.168.3.11', '2018-05-25 15:36:34'); INSERT INTO `sys_oplog` VALUES (3040, 1, '[设备记录] 修改', '192.168.3.11', '2018-05-25 15:36:46'); INSERT INTO `sys_oplog` VALUES (3041, 1, '[设备记录] 增加', '192.168.3.11', '2018-05-25 15:47:15'); INSERT INTO `sys_oplog` VALUES (3042, 1, '[设备记录] 修改', '192.168.3.11', '2018-05-25 15:47:27'); INSERT INTO `sys_oplog` VALUES (3043, 1, '[设备记录] 增加', '192.168.3.11', '2018-05-25 15:59:53'); INSERT INTO `sys_oplog` VALUES (3044, 1, '[设备记录] 修改', '192.168.3.11', '2018-05-25 16:00:05'); INSERT INTO `sys_oplog` VALUES (3045, 1, '[设备记录] 增加', '172.16.31.10', '2018-05-25 16:09:26'); INSERT INTO `sys_oplog` VALUES (3046, 1, '[设备记录] 修改', '172.16.31.10', '2018-05-25 16:09:41'); INSERT INTO `sys_oplog` VALUES (3047, 1, '[设备记录] 增加', '172.16.31.10', '2018-05-25 16:15:13'); INSERT INTO `sys_oplog` VALUES (3048, 1, '[设备记录] 修改', '172.16.31.10', '2018-05-25 16:15:28'); 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INSERT INTO `sys_oplog` VALUES (3793, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:58:43'); INSERT INTO `sys_oplog` VALUES (3794, 1, '设备290000104:356566077007722被删除', '192.168.127.12', '2018-06-05 09:58:45'); INSERT INTO `sys_oplog` VALUES (3795, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:58:45'); INSERT INTO `sys_oplog` VALUES (3796, 1, '设备290000111:356566077001113被删除', '192.168.127.12', '2018-06-05 09:58:48'); INSERT INTO `sys_oplog` VALUES (3797, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:58:48'); INSERT INTO `sys_oplog` VALUES (3798, 1, '设备290000113:356566077059327被删除', '192.168.127.12', '2018-06-05 09:58:50'); INSERT INTO `sys_oplog` VALUES (3799, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:58:50'); INSERT INTO `sys_oplog` VALUES (3800, 1, '设备290000125:356566077043297被删除', '192.168.127.12', '2018-06-05 09:58:53'); INSERT INTO `sys_oplog` VALUES (3801, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:58:53'); INSERT INTO `sys_oplog` VALUES (3802, 1, '设备290000126:356566077043255被删除', '192.168.127.12', '2018-06-05 09:58:56'); INSERT INTO `sys_oplog` VALUES (3803, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:58:56'); INSERT INTO `sys_oplog` VALUES (3804, 1, '设备290000109:356566077061026被删除', '192.168.127.12', '2018-06-05 09:58:59'); INSERT INTO `sys_oplog` VALUES (3805, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:58:59'); INSERT INTO `sys_oplog` VALUES (3806, 1, '设备290000053:356566077005122被删除', '192.168.127.12', '2018-06-05 09:59:02'); INSERT INTO `sys_oplog` VALUES (3807, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:59:02'); INSERT INTO `sys_oplog` VALUES (3808, 1, '设备290000108:356566077059061被删除', '192.168.127.12', '2018-06-05 09:59:04'); INSERT INTO `sys_oplog` VALUES (3809, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:59:04'); INSERT INTO `sys_oplog` VALUES (3810, 1, '设备290000110:356566076999572被删除', '192.168.127.12', '2018-06-05 09:59:07'); INSERT INTO `sys_oplog` VALUES (3811, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:59:07'); INSERT INTO `sys_oplog` VALUES (3812, 1, '设备290000107:356566077007664被删除', '192.168.127.12', '2018-06-05 09:59:20'); INSERT INTO `sys_oplog` VALUES (3813, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:59:20'); INSERT INTO `sys_oplog` VALUES (3814, 1, '设备290000106:356566077044212被删除', '192.168.127.12', '2018-06-05 09:59:22'); INSERT INTO `sys_oplog` VALUES (3815, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:59:22'); INSERT INTO `sys_oplog` VALUES (3816, 1, '设备290000105:356566077003648被删除', '192.168.127.12', '2018-06-05 09:59:24'); INSERT INTO `sys_oplog` VALUES (3817, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:59:24'); INSERT INTO `sys_oplog` VALUES (3818, 1, '设备290000102:356566077061323被删除', '192.168.127.12', '2018-06-05 09:59:26'); INSERT INTO `sys_oplog` VALUES (3819, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:59:26'); INSERT INTO `sys_oplog` VALUES (3820, 1, '设备290000103:356566077061364被删除', '192.168.127.12', '2018-06-05 09:59:28'); INSERT INTO `sys_oplog` VALUES (3821, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:59:28'); INSERT INTO `sys_oplog` VALUES (3822, 1, '设备290000101:356566077060002被删除', '192.168.127.12', '2018-06-05 09:59:31'); INSERT INTO `sys_oplog` VALUES (3823, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:59:31'); INSERT INTO `sys_oplog` VALUES (3824, 1, '设备290000100:356566077003598被删除', '192.168.127.12', '2018-06-05 09:59:35'); INSERT INTO `sys_oplog` VALUES (3825, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:59:35'); INSERT INTO `sys_oplog` VALUES (3826, 1, '设备290000099:356566077059178被删除', '192.168.127.12', '2018-06-05 09:59:38'); INSERT INTO `sys_oplog` VALUES (3827, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:59:38'); INSERT INTO `sys_oplog` VALUES (3828, 1, '设备290000098:356566077003622被删除', '192.168.127.12', '2018-06-05 09:59:40'); INSERT INTO `sys_oplog` VALUES (3829, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:59:40'); INSERT INTO `sys_oplog` VALUES (3830, 1, '设备290000089:356566077061372被删除', '192.168.127.12', '2018-06-05 09:59:46'); INSERT INTO `sys_oplog` VALUES (3831, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-05 09:59:46'); INSERT INTO `sys_oplog` VALUES (3832, 1, '登陆系统', '192.168.3.11', '2018-06-05 10:03:56'); INSERT INTO `sys_oplog` VALUES (3833, 1, '登陆系统', '0:0:0:0:0:0:0:1', '2018-06-05 10:26:17'); INSERT INTO `sys_oplog` VALUES (3834, 1, '登陆系统', '192.168.127.12', '2018-06-05 10:34:02'); INSERT INTO `sys_oplog` VALUES (3835, 1, '登陆系统', '0:0:0:0:0:0:0:1', '2018-06-05 10:38:07'); INSERT INTO `sys_oplog` VALUES (3836, 1, '登陆系统', '192.168.127.12', '2018-06-05 10:39:15'); INSERT INTO `sys_oplog` VALUES (3837, 1, '登陆系统', '0:0:0:0:0:0:0:1', '2018-06-05 10:54:48'); INSERT INTO `sys_oplog` VALUES (3838, 1, '登陆系统', '0:0:0:0:0:0:0:1', '2018-06-05 16:37:24'); INSERT INTO `sys_oplog` VALUES (3839, 1, '登陆系统', '192.168.127.12', '2018-06-05 17:01:00'); INSERT INTO `sys_oplog` VALUES (3840, 1, '登陆系统', '192.168.3.11', '2018-06-05 17:08:35'); INSERT INTO `sys_oplog` VALUES (3841, 1, '登陆系统', '172.16.58.3', '2018-06-05 17:25:49'); INSERT INTO `sys_oplog` VALUES (3842, 1, '登陆系统', '172.16.58.3', '2018-06-05 17:49:14'); INSERT INTO `sys_oplog` VALUES (3843, 1, '[在线用户] 修改', '172.16.58.3', '2018-06-05 18:20:26'); INSERT INTO `sys_oplog` VALUES (3844, 1, '[设备记录] 修改', '172.16.17.32', '2018-06-05 19:13:24'); INSERT INTO `sys_oplog` VALUES (3845, 1, '登陆系统', '192.168.127.12', '2018-06-05 20:38:12'); INSERT INTO `sys_oplog` VALUES (3846, 1, '登陆系统', '192.168.127.12', '2018-06-05 21:04:10'); INSERT INTO `sys_oplog` VALUES (3847, 1, '登陆系统', '192.168.127.12', '2018-06-05 21:24:43'); INSERT INTO `sys_oplog` VALUES (3848, 1, '登陆系统', '172.16.58.3', '2018-06-05 22:09:40'); INSERT INTO `sys_oplog` VALUES (3849, 1, '[消费记录] 导出cvs', '172.16.17.32', '2018-06-05 22:09:46'); INSERT INTO `sys_oplog` VALUES (3850, 1, '登陆系统', '172.16.17.32', '2018-06-05 22:16:34'); INSERT INTO `sys_oplog` VALUES (3851, 1, '登陆系统', '172.16.31.10', '2018-06-05 22:31:54'); INSERT INTO `sys_oplog` VALUES (3852, 1, '[微信充值记录] 导出cvs', '172.16.17.32', '2018-06-05 23:54:42'); INSERT INTO `sys_oplog` VALUES (3853, 1, '[消费记录] 导出cvs', '172.16.17.32', '2018-06-06 00:04:21'); INSERT INTO `sys_oplog` VALUES (3854, 1, '登陆系统', '172.16.17.32', '2018-06-06 01:03:58'); INSERT INTO `sys_oplog` VALUES (3855, 1, '登陆系统', '192.168.127.12', '2018-06-06 01:20:19'); INSERT INTO `sys_oplog` VALUES (3856, 1, '登陆系统', '172.16.58.3', '2018-06-06 02:07:26'); INSERT INTO `sys_oplog` VALUES (3857, 1, '登陆系统', '172.16.17.32', '2018-06-06 08:49:30'); INSERT INTO `sys_oplog` VALUES (3858, 1, '登陆系统', '172.16.17.32', '2018-06-06 09:06:04'); INSERT INTO `sys_oplog` VALUES (3859, 1, '登陆系统', '172.16.17.32', '2018-06-06 09:10:18'); INSERT INTO `sys_oplog` VALUES (3860, 1, '登陆系统', '0:0:0:0:0:0:0:1', '2018-06-06 09:22:06'); INSERT INTO `sys_oplog` VALUES (3861, 1, '登陆系统', '172.16.17.32', '2018-06-06 12:30:08'); INSERT INTO `sys_oplog` VALUES (3862, 1, '登陆系统', '172.16.17.32', '2018-06-06 13:25:32'); INSERT INTO `sys_oplog` VALUES (3863, 1, '登陆系统', '172.16.17.32', '2018-06-06 13:28:35'); INSERT INTO `sys_oplog` VALUES (3864, 1, '登陆系统', '172.16.17.32', '2018-06-06 13:40:56'); INSERT INTO `sys_oplog` VALUES (3865, 1, '登陆系统', '172.16.17.32', '2018-06-06 14:10:07'); INSERT INTO `sys_oplog` VALUES (3866, 1, '登陆系统', '192.168.3.11', '2018-06-06 14:23:45'); INSERT INTO `sys_oplog` VALUES (3867, 1, '退出系统', '172.16.17.32', '2018-06-06 14:26:55'); INSERT INTO `sys_oplog` VALUES (3868, 1, '登陆系统', '172.16.17.32', '2018-06-06 14:33:17'); INSERT INTO `sys_oplog` VALUES (3869, 1, '退出系统', '172.16.17.32', '2018-06-06 14:37:00'); INSERT INTO `sys_oplog` VALUES (3870, 1, '登陆系统', '172.16.17.32', '2018-06-06 14:50:15'); INSERT INTO `sys_oplog` VALUES (3871, 1, '[设备记录] 增加', '172.16.17.32', '2018-06-06 14:50:26'); INSERT INTO `sys_oplog` VALUES (3872, 1, '登陆系统', '192.168.3.11', '2018-06-06 14:51:31'); INSERT INTO `sys_oplog` VALUES (3873, 1, '[设备记录] 增加', '192.168.3.11', '2018-06-06 14:51:59'); INSERT INTO `sys_oplog` VALUES (3874, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-06 14:52:17'); INSERT INTO `sys_oplog` VALUES (3875, 1, '登陆系统', '192.168.127.12', '2018-06-06 16:28:31'); INSERT INTO `sys_oplog` VALUES (3876, 1, '登陆系统', '172.16.17.32', '2018-06-06 16:51:34'); INSERT INTO `sys_oplog` VALUES (3877, 1, '登陆系统', '172.16.17.32', '2018-06-06 17:04:13'); INSERT INTO `sys_oplog` VALUES (3878, 1, '登陆系统', '192.168.3.11', '2018-06-06 17:56:18'); INSERT INTO `sys_oplog` VALUES (3879, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-06 19:37:57'); INSERT INTO `sys_oplog` VALUES (3880, 1, '登陆系统', '172.16.58.3', '2018-06-06 19:43:26'); INSERT INTO `sys_oplog` VALUES (3881, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-06 19:49:38'); INSERT INTO `sys_oplog` VALUES (3882, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-06 19:50:00'); INSERT INTO `sys_oplog` VALUES (3883, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-06 20:09:50'); INSERT INTO `sys_oplog` VALUES (3884, 1, '[在线用户] 修改', '192.168.3.11', '2018-06-06 20:11:21'); INSERT INTO `sys_oplog` VALUES (3885, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-06 20:17:35'); INSERT INTO `sys_oplog` VALUES (3886, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-06 20:18:35'); INSERT INTO `sys_oplog` VALUES (3887, 1, '[在线用户] 修改', '192.168.3.11', '2018-06-06 20:25:58'); INSERT INTO `sys_oplog` VALUES (3888, 1, '[在线用户] 修改', '192.168.3.11', '2018-06-06 20:26:36'); INSERT INTO `sys_oplog` VALUES (3889, 1, '[在线用户] 修改', '192.168.3.11', '2018-06-06 20:34:36'); INSERT INTO `sys_oplog` VALUES (3890, 1, '登陆系统', '172.16.58.3', '2018-06-06 21:23:49'); INSERT INTO `sys_oplog` VALUES (3891, 1, '登陆系统', '172.16.58.3', '2018-06-06 23:13:49'); INSERT INTO `sys_oplog` VALUES (3892, 1, '登陆系统', '172.16.17.32', '2018-06-07 00:41:59'); INSERT INTO `sys_oplog` VALUES (3893, 1, '登陆系统', '192.168.127.12', '2018-06-07 01:45:41'); INSERT INTO `sys_oplog` VALUES (3894, 1, '登陆系统', '172.16.31.10', '2018-06-07 08:21:56'); INSERT INTO `sys_oplog` VALUES (3895, 1, '登陆系统', '192.168.3.11', '2018-06-07 09:30:43'); INSERT INTO `sys_oplog` VALUES (3896, 1, '[微信充值记录] 导出cvs', '192.168.3.11', '2018-06-07 09:32:14'); INSERT INTO `sys_oplog` VALUES (3897, 1, '[消费记录] 导出cvs', '192.168.3.11', '2018-06-07 09:32:23'); INSERT INTO `sys_oplog` VALUES (3898, 1, '[消费记录] 导出cvs', '192.168.3.11', '2018-06-07 09:32:31'); INSERT INTO `sys_oplog` VALUES (3899, 1, '[消费记录] 导出cvs', '192.168.3.11', '2018-06-07 09:35:12'); INSERT INTO `sys_oplog` VALUES (3900, 1, '登陆系统', '192.168.127.12', '2018-06-07 09:59:17'); INSERT INTO `sys_oplog` VALUES (3901, 1, '登陆系统', '192.168.3.11', '2018-06-07 10:07:15'); INSERT INTO `sys_oplog` VALUES (3902, 1, '退出系统', '192.168.3.11', '2018-06-07 10:10:12'); INSERT INTO `sys_oplog` VALUES (3903, 1, '[微信充值记录] 导出cvs', '192.168.3.11', '2018-06-07 10:54:59'); INSERT INTO `sys_oplog` VALUES (3904, 1, '登陆系统', '192.168.3.11', '2018-06-07 11:00:39'); INSERT INTO `sys_oplog` VALUES (3905, 1, '登陆系统', '192.168.3.11', '2018-06-07 11:01:01'); INSERT INTO `sys_oplog` VALUES (3906, 1, '退出系统', '192.168.3.11', '2018-06-07 11:01:17'); INSERT INTO `sys_oplog` VALUES (3907, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 11:01:50'); INSERT INTO `sys_oplog` VALUES (3908, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 11:02:31'); INSERT INTO `sys_oplog` VALUES (3909, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 11:05:12'); INSERT INTO `sys_oplog` VALUES (3910, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 11:06:06'); INSERT INTO `sys_oplog` VALUES (3911, 1, '登陆系统', '192.168.3.11', '2018-06-07 11:18:54'); INSERT INTO `sys_oplog` VALUES (3912, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 11:56:18'); INSERT INTO `sys_oplog` VALUES (3913, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 11:56:41'); INSERT INTO `sys_oplog` VALUES (3914, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 11:57:01'); INSERT INTO `sys_oplog` VALUES (3915, 1, '[微信充值记录] 导出cvs', '192.168.3.11', '2018-06-07 12:02:47'); INSERT INTO `sys_oplog` VALUES (3916, 1, '登陆系统', '172.16.17.32', '2018-06-07 12:15:30'); INSERT INTO `sys_oplog` VALUES (3917, 1, '登陆系统', '172.16.17.32', '2018-06-07 12:16:45'); INSERT INTO `sys_oplog` VALUES (3918, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 12:28:55'); INSERT INTO `sys_oplog` VALUES (3919, 1, '登陆系统', '172.16.17.32', '2018-06-07 12:34:15'); INSERT INTO `sys_oplog` VALUES (3920, 1, '[消费记录] 导出cvs', '172.16.17.32', '2018-06-07 12:37:43'); INSERT INTO `sys_oplog` VALUES (3921, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 12:48:19'); INSERT INTO `sys_oplog` VALUES (3922, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 12:48:39'); INSERT INTO `sys_oplog` VALUES (3923, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 12:48:54'); INSERT INTO `sys_oplog` VALUES (3924, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 12:49:54'); INSERT INTO `sys_oplog` VALUES (3925, 1, '登陆系统', '172.16.17.32', '2018-06-07 13:48:40'); INSERT INTO `sys_oplog` VALUES (3926, 1, '登陆系统', '172.16.17.32', '2018-06-07 14:14:52'); INSERT INTO `sys_oplog` VALUES (3927, 1, '登陆系统', '172.16.17.32', '2018-06-07 14:35:02'); INSERT INTO `sys_oplog` VALUES (3928, 1, '登陆系统', '172.16.17.32', '2018-06-07 14:44:32'); INSERT INTO `sys_oplog` VALUES (3929, 1, '登陆系统', '172.16.17.32', '2018-06-07 14:56:12'); INSERT INTO `sys_oplog` VALUES (3930, 1, '登陆系统', '172.16.58.3', '2018-06-07 15:33:22'); INSERT INTO `sys_oplog` VALUES (3931, 1, '登陆系统', '192.168.3.11', '2018-06-07 15:47:22'); INSERT INTO `sys_oplog` VALUES (3932, 1, '[优惠设置] 修改', '192.168.3.11', '2018-06-07 16:20:46'); INSERT INTO `sys_oplog` VALUES (3933, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 16:38:27'); INSERT INTO `sys_oplog` VALUES (3934, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 16:38:47'); INSERT INTO `sys_oplog` VALUES (3935, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 16:39:09'); INSERT INTO `sys_oplog` VALUES (3936, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 16:39:36'); INSERT INTO `sys_oplog` VALUES (3937, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 16:48:38'); INSERT INTO `sys_oplog` VALUES (3938, 1, '[设备记录] 修改', '192.168.3.11', '2018-06-07 16:49:18'); INSERT INTO `sys_oplog` VALUES (3939, 1, '登陆系统', '172.16.17.32', '2018-06-07 16:53:47'); INSERT INTO `sys_oplog` VALUES (3940, 1, '登陆系统', '172.16.17.32', '2018-06-07 17:03:52'); INSERT INTO `sys_oplog` VALUES (3941, 1, '登陆系统', '172.16.17.32', '2018-06-07 17:05:02'); INSERT INTO `sys_oplog` VALUES (3942, 1, '登陆系统', '192.168.3.11', '2018-06-07 17:36:28'); INSERT INTO `sys_oplog` VALUES (3943, 1, '登陆系统', '172.16.31.10', '2018-06-07 18:06:46'); INSERT INTO `sys_oplog` VALUES (3944, 1, '退出系统', '192.168.3.11', '2018-06-07 18:10:40'); INSERT INTO `sys_oplog` VALUES (3945, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-07 19:12:11'); INSERT INTO `sys_oplog` VALUES (3946, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-07 19:12:48'); 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INSERT INTO `sys_oplog` VALUES (3958, 1, '登陆系统', '172.16.58.3', '2018-06-07 22:26:50'); INSERT INTO `sys_oplog` VALUES (3959, 1, '登陆系统', '172.16.31.10', '2018-06-07 23:16:52'); INSERT INTO `sys_oplog` VALUES (3960, 1, '登陆系统', '172.16.31.10', '2018-06-08 01:14:48'); INSERT INTO `sys_oplog` VALUES (3961, 1, '登陆系统', '172.16.31.10', '2018-06-08 01:15:51'); INSERT INTO `sys_oplog` VALUES (3962, 1, '登陆系统', '172.16.31.10', '2018-06-08 01:21:11'); INSERT INTO `sys_oplog` VALUES (3963, 1, '登陆系统', '172.16.31.10', '2018-06-08 01:40:24'); INSERT INTO `sys_oplog` VALUES (3964, 1, '登陆系统', '172.16.31.10', '2018-06-08 02:46:40'); INSERT INTO `sys_oplog` VALUES (3965, 1, '登陆系统', '172.16.31.10', '2018-06-08 07:39:38'); INSERT INTO `sys_oplog` VALUES (3966, 1, '登陆系统', '172.16.58.3', '2018-06-08 08:12:05'); INSERT INTO `sys_oplog` VALUES (3967, 1, '登陆系统', '172.16.58.3', '2018-06-08 09:08:32'); INSERT INTO `sys_oplog` VALUES (3968, 1, '退出系统', '172.16.58.3', '2018-06-08 09:17:26'); INSERT INTO `sys_oplog` VALUES (3969, 1, '登陆系统', '172.16.58.3', '2018-06-08 09:17:42'); INSERT INTO `sys_oplog` VALUES (3970, 1, '登陆系统', '172.16.58.3', '2018-06-08 09:33:15'); INSERT INTO `sys_oplog` VALUES (3971, 1, '登陆系统', '172.16.58.3', '2018-06-08 09:34:12'); INSERT INTO `sys_oplog` VALUES (3972, 1, '登陆系统', '172.16.58.3', '2018-06-08 09:49:31'); INSERT INTO `sys_oplog` VALUES (3973, 1, '[在线用户] 修改', '172.16.58.3', '2018-06-08 10:11:28'); INSERT INTO `sys_oplog` VALUES (3974, 1, '登陆系统', '172.16.58.3', '2018-06-08 10:35:05'); INSERT INTO `sys_oplog` VALUES (3975, 1, '登陆系统', '192.168.3.11', '2018-06-08 11:13:22'); INSERT INTO `sys_oplog` VALUES (3976, 1, '设备290000201:356566072333396被删除', '192.168.3.11', '2018-06-08 11:14:04'); INSERT INTO `sys_oplog` VALUES (3977, 1, '[设备记录] 删除', '192.168.3.11', '2018-06-08 11:14:04'); INSERT INTO `sys_oplog` VALUES (3978, 1, '登陆系统', '172.16.58.3', '2018-06-08 11:20:44'); INSERT INTO `sys_oplog` VALUES (3979, 1, '登陆系统', '172.16.58.3', '2018-06-08 11:23:07'); INSERT INTO `sys_oplog` VALUES (3980, 1, '[在线用户] 修改', '172.16.58.3', '2018-06-08 12:04:41'); INSERT INTO `sys_oplog` VALUES (3981, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 13:22:46'); INSERT INTO `sys_oplog` VALUES (3982, 1, '登陆系统', '172.16.17.32', '2018-06-08 13:25:45'); INSERT INTO `sys_oplog` VALUES (3983, 1, '登陆系统', '172.16.58.3', '2018-06-08 13:26:13'); INSERT INTO `sys_oplog` VALUES (3984, 1, '登陆系统', '172.16.17.32', '2018-06-08 13:27:43'); INSERT INTO `sys_oplog` VALUES (3985, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 13:29:34'); INSERT INTO `sys_oplog` VALUES (3986, 1, '登陆系统', '172.16.58.3', '2018-06-08 14:26:22'); INSERT INTO `sys_oplog` VALUES (3987, 1, '登陆系统', '172.16.58.3', '2018-06-08 14:41:43'); INSERT INTO `sys_oplog` VALUES (3988, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 14:45:48'); INSERT INTO `sys_oplog` VALUES (3989, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 14:47:43'); INSERT INTO `sys_oplog` VALUES (3990, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 14:48:23'); INSERT INTO `sys_oplog` VALUES (3991, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 14:48:43'); INSERT INTO `sys_oplog` VALUES (3992, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 14:49:29'); INSERT INTO `sys_oplog` VALUES (3993, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 14:50:35'); INSERT INTO `sys_oplog` VALUES (3994, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 14:51:36'); INSERT INTO `sys_oplog` VALUES (3995, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 14:52:27'); INSERT INTO `sys_oplog` VALUES (3996, 1, '登陆系统', '172.16.58.3', '2018-06-08 14:55:36'); INSERT INTO `sys_oplog` VALUES (3997, 1, '登陆系统', '172.16.58.3', '2018-06-08 15:30:13'); INSERT INTO `sys_oplog` VALUES (3998, 1, '登陆系统', '172.16.58.3', '2018-06-08 15:48:19'); INSERT INTO `sys_oplog` VALUES (3999, 1, '登陆系统', '172.16.58.3', '2018-06-08 16:36:10'); INSERT INTO `sys_oplog` VALUES (4000, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 17:31:51'); INSERT INTO `sys_oplog` VALUES (4001, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 17:32:16'); INSERT INTO `sys_oplog` VALUES (4002, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 17:57:13'); INSERT INTO `sys_oplog` VALUES (4003, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 17:57:43'); INSERT INTO `sys_oplog` VALUES (4004, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 17:57:59'); INSERT INTO `sys_oplog` VALUES (4005, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 17:58:27'); INSERT INTO `sys_oplog` VALUES (4006, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 17:59:48'); INSERT INTO `sys_oplog` VALUES (4007, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 18:08:32'); INSERT INTO `sys_oplog` VALUES (4008, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 18:08:51'); INSERT INTO `sys_oplog` VALUES (4009, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 18:09:09'); INSERT INTO `sys_oplog` VALUES (4010, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 18:09:34'); INSERT INTO `sys_oplog` VALUES (4011, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 18:09:53'); INSERT INTO `sys_oplog` VALUES (4012, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-08 18:10:13'); INSERT INTO `sys_oplog` VALUES (4013, 1, '登陆系统', '172.16.31.10', '2018-06-08 18:35:31'); INSERT INTO `sys_oplog` VALUES (4014, 1, '登陆系统', '172.16.31.10', '2018-06-08 18:38:34'); INSERT INTO `sys_oplog` VALUES (4015, 1, '登陆系统', '172.16.31.10', '2018-06-08 18:59:03'); INSERT INTO `sys_oplog` VALUES (4016, 1, '[设备记录] 修改', '172.16.31.10', '2018-06-08 19:08:46'); INSERT INTO `sys_oplog` VALUES (4017, 1, '[在线用户] 修改', '172.16.31.10', '2018-06-08 19:23:56'); INSERT INTO `sys_oplog` VALUES (4018, 1, '登陆系统', '172.16.31.10', '2018-06-08 20:03:32'); INSERT INTO `sys_oplog` VALUES (4019, 1, '[设备记录] 修改', '172.16.31.10', '2018-06-08 20:06:55'); INSERT INTO `sys_oplog` VALUES (4020, 1, '[设备记录] 修改', '172.16.31.10', '2018-06-08 20:07:38'); INSERT INTO `sys_oplog` VALUES (4021, 1, '[设备记录] 修改', '172.16.31.10', '2018-06-08 20:08:06'); INSERT INTO `sys_oplog` VALUES (4022, 1, '[设备记录] 修改', '172.16.31.10', '2018-06-08 20:09:31'); INSERT INTO `sys_oplog` VALUES (4023, 1, '[设备记录] 修改', '172.16.31.10', '2018-06-08 20:30:54'); INSERT INTO `sys_oplog` VALUES (4024, 1, '[设备记录] 修改', '172.16.31.10', '2018-06-08 20:31:11'); 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INSERT INTO `sys_oplog` VALUES (4151, 1, '登陆系统', '172.16.58.3', '2018-06-10 20:48:10'); INSERT INTO `sys_oplog` VALUES (4152, 1, '登陆系统', '172.16.58.3', '2018-06-10 20:52:28'); INSERT INTO `sys_oplog` VALUES (4153, 1, '登陆系统', '172.16.58.3', '2018-06-10 21:21:45'); INSERT INTO `sys_oplog` VALUES (4154, 1, '登陆系统', '172.16.58.3', '2018-06-10 22:41:45'); INSERT INTO `sys_oplog` VALUES (4155, 1, '登陆系统', '172.16.58.3', '2018-06-11 00:05:48'); INSERT INTO `sys_oplog` VALUES (4156, 1, '登陆系统', '172.16.58.3', '2018-06-11 00:06:58'); INSERT INTO `sys_oplog` VALUES (4157, 1, '登陆系统', '172.16.58.3', '2018-06-11 00:21:23'); INSERT INTO `sys_oplog` VALUES (4158, 1, '登陆系统', '172.16.58.3', '2018-06-11 00:22:17'); INSERT INTO `sys_oplog` VALUES (4159, 1, '登陆系统', '172.16.58.3', '2018-06-11 00:42:53'); INSERT INTO `sys_oplog` VALUES (4160, 1, '登陆系统', '172.16.58.3', '2018-06-11 01:02:41'); INSERT INTO `sys_oplog` VALUES (4161, 1, '登陆系统', '172.16.58.3', '2018-06-11 02:17:15'); INSERT INTO `sys_oplog` VALUES (4162, 1, '登陆系统', '172.16.58.3', '2018-06-11 07:19:44'); INSERT INTO `sys_oplog` VALUES (4163, 1, '登陆系统', '172.16.58.3', '2018-06-11 08:28:58'); INSERT INTO `sys_oplog` VALUES (4164, 1, '登陆系统', '172.16.17.32', '2018-06-11 09:03:22'); INSERT INTO `sys_oplog` VALUES (4165, 1, '登陆系统', '172.16.17.32', '2018-06-11 09:37:21'); INSERT INTO `sys_oplog` VALUES (4166, 1, '退出系统', '172.16.17.32', '2018-06-11 09:39:34'); INSERT INTO `sys_oplog` VALUES (4167, 1, '登陆系统', '172.16.17.32', '2018-06-11 09:46:49'); INSERT INTO `sys_oplog` VALUES (4168, 1, '登陆系统', '172.16.17.32', '2018-06-11 09:56:52'); INSERT INTO `sys_oplog` VALUES (4169, 1, '登陆系统', '172.16.17.32', '2018-06-11 10:07:12'); INSERT INTO `sys_oplog` VALUES (4170, 1, '登陆系统', '172.16.17.32', '2018-06-11 10:40:41'); INSERT INTO `sys_oplog` VALUES (4171, 1, '[消费记录] 导出cvs', '172.16.17.32', '2018-06-11 10:41:16'); INSERT INTO `sys_oplog` VALUES (4172, 1, '登陆系统', '192.168.3.11', '2018-06-11 10:57:22'); INSERT INTO `sys_oplog` VALUES (4173, 1, '登陆系统', '172.16.17.32', '2018-06-11 11:22:59'); INSERT INTO `sys_oplog` VALUES (4174, 1, '登陆系统', '192.168.3.11', '2018-06-11 12:11:54'); 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INSERT INTO `sys_oplog` VALUES (4244, 1, '设备290000021:356566077008365被删除', '192.168.127.12', '2018-06-12 14:09:44'); INSERT INTO `sys_oplog` VALUES (4245, 1, '[设备记录] 删除', '192.168.127.12', '2018-06-12 14:09:44'); INSERT INTO `sys_oplog` VALUES (4246, 1, '登陆系统', '192.168.127.12', '2018-06-12 14:23:38'); INSERT INTO `sys_oplog` VALUES (4247, 1, '[设备记录] 增加', '192.168.127.12', '2018-06-12 14:28:28'); INSERT INTO `sys_oplog` VALUES (4248, 1, '[设备记录] 修改', '192.168.127.12', '2018-06-12 14:50:04'); INSERT INTO `sys_oplog` VALUES (4249, 1, '[设备记录] 修改', '192.168.127.12', '2018-06-12 15:27:01'); INSERT INTO `sys_oplog` VALUES (4250, 1, '登陆系统', '192.168.127.12', '2018-06-12 15:33:58'); INSERT INTO `sys_oplog` VALUES (4251, 1, '登陆系统', '192.168.127.12', '2018-06-12 17:29:06'); INSERT INTO `sys_oplog` VALUES (4252, 1, '登陆系统', '192.168.127.12', '2018-06-12 18:03:38'); INSERT INTO `sys_oplog` VALUES (4253, 1, '登陆系统', '192.168.3.11', '2018-06-12 19:07:36'); INSERT INTO `sys_oplog` VALUES (4254, 1, '登陆系统', '192.168.3.11', '2018-06-12 19:25:24'); INSERT INTO `sys_oplog` VALUES (4255, 1, '登陆系统', '192.168.3.11', '2018-06-12 19:25:55'); INSERT INTO `sys_oplog` VALUES (4256, 1, '登陆系统', '172.16.58.3', '2018-06-12 19:48:30'); INSERT INTO `sys_oplog` VALUES (4257, 1, '登陆系统', '192.168.127.12', '2018-06-12 20:15:21'); INSERT INTO `sys_oplog` VALUES (4258, 1, '登陆系统', '172.16.17.32', '2018-06-12 22:34:50'); INSERT INTO `sys_oplog` VALUES (4259, 1, '登陆系统', '172.16.17.32', '2018-06-12 23:35:50'); INSERT INTO `sys_oplog` VALUES (4260, 1, '登陆系统', '172.16.17.32', '2018-06-13 01:10:03'); INSERT INTO `sys_oplog` VALUES (4261, 1, '登陆系统', '172.16.17.32', '2018-06-13 02:05:05'); INSERT INTO `sys_oplog` VALUES (4262, 1, '登陆系统', '172.16.17.32', '2018-06-13 02:17:12'); INSERT INTO `sys_oplog` VALUES (4263, 1, '登陆系统', '172.16.31.10', '2018-06-13 09:46:03'); INSERT INTO `sys_oplog` VALUES (4264, 1, '登陆系统', '172.16.31.10', '2018-06-13 10:12:05'); INSERT INTO `sys_oplog` VALUES (4265, 1, '登陆系统', '172.16.31.10', '2018-06-13 10:17:50'); INSERT INTO `sys_oplog` VALUES (4266, 1, '[在线用户] 修改', '172.16.31.10', '2018-06-13 10:25:47'); INSERT INTO `sys_oplog` VALUES (4267, 1, '登陆系统', '172.16.31.10', '2018-06-13 10:32:43'); INSERT INTO `sys_oplog` VALUES (4268, 1, '登陆系统', '172.16.31.10', '2018-06-13 10:40:39'); INSERT INTO `sys_oplog` VALUES (4269, 1, '[设备记录] 增加', '172.16.31.10', '2018-06-13 11:12:14'); INSERT INTO `sys_oplog` VALUES (4270, 1, '[设备记录] 修改', '172.16.31.10', '2018-06-13 11:12:23'); INSERT INTO `sys_oplog` VALUES (4271, 1, '[设备记录] 修改', '172.16.31.10', '2018-06-13 11:49:05'); INSERT INTO `sys_oplog` VALUES (4272, 1, '[在线用户] 修改', '172.16.31.10', '2018-06-13 11:52:45'); INSERT INTO `sys_oplog` VALUES (4273, 1, '[在线用户] 修改', '172.16.31.10', '2018-06-13 11:52:57'); INSERT INTO `sys_oplog` VALUES (4274, 1, '[设备记录] 修改', '172.16.31.10', '2018-06-13 11:54:19'); INSERT INTO `sys_oplog` VALUES (4275, 1, '登陆系统', '172.16.58.3', '2018-06-13 12:29:06'); INSERT INTO `sys_oplog` VALUES (4276, 1, '登陆系统', '172.16.31.10', '2018-06-13 13:49:12'); INSERT INTO `sys_oplog` VALUES (4277, 1, '登陆系统', '172.16.31.10', '2018-06-13 14:07:42'); INSERT INTO `sys_oplog` VALUES (4278, 1, '登陆系统', '172.16.31.10', '2018-06-13 14:38:35'); INSERT INTO `sys_oplog` VALUES (4279, 1, '登陆系统', '172.16.31.10', '2018-06-13 14:50:41'); INSERT INTO `sys_oplog` VALUES (4280, 1, '登陆系统', '172.16.31.10', '2018-06-13 16:05:42'); INSERT INTO `sys_oplog` VALUES (4281, 1, '登陆系统', '192.168.127.12', '2018-06-13 16:57:53'); INSERT INTO `sys_oplog` VALUES (4282, 1, '登陆系统', '172.16.17.32', '2018-06-13 17:21:25'); INSERT INTO `sys_oplog` VALUES (4283, 1, '登陆系统', '172.16.31.10', '2018-06-13 17:42:39'); INSERT INTO `sys_oplog` VALUES (4284, 1, '登陆系统', '172.16.17.32', '2018-06-13 18:52:33'); INSERT INTO `sys_oplog` VALUES (4285, 1, '[角色管理] 增加', '172.16.17.32', '2018-06-13 20:50:03'); INSERT INTO `sys_oplog` VALUES (4286, 1, '[权限管理] 修改', '172.16.17.32', '2018-06-13 20:51:15'); INSERT INTO `sys_oplog` VALUES (4287, 1, '[用户管理] 增加', '172.16.17.32', '2018-06-13 20:53:17'); INSERT INTO `sys_oplog` VALUES (4288, 1, '退出系统', '172.16.17.32', '2018-06-13 20:53:25'); INSERT INTO `sys_oplog` VALUES (4289, 16, '登陆系统', '172.16.17.32', '2018-06-13 20:53:53'); INSERT INTO `sys_oplog` VALUES (4290, 16, '退出系统', '172.16.17.32', '2018-06-13 20:56:28'); INSERT INTO `sys_oplog` VALUES (4291, 1, '登陆系统', '172.16.17.32', '2018-06-13 20:56:35'); INSERT INTO `sys_oplog` VALUES (4292, 1, '[权限管理] 修改', '172.16.17.32', '2018-06-13 20:57:36'); INSERT INTO `sys_oplog` VALUES (4293, 1, '[权限管理] 修改', '172.16.17.32', '2018-06-13 20:57:56'); INSERT INTO `sys_oplog` VALUES (4294, 1, '[用户管理] 删除', '172.16.17.32', '2018-06-13 20:58:09'); INSERT INTO `sys_oplog` VALUES (4295, 1, '[用户管理] 增加', '172.16.17.32', '2018-06-13 20:58:32'); INSERT INTO `sys_oplog` VALUES (4296, 1, '退出系统', '172.16.17.32', '2018-06-13 20:58:33'); INSERT INTO `sys_oplog` VALUES (4297, 17, '登陆系统', '172.16.17.32', '2018-06-13 20:58:51'); INSERT INTO `sys_oplog` VALUES (4298, 17, '退出系统', '172.16.17.32', '2018-06-13 20:59:19'); INSERT INTO `sys_oplog` VALUES (4299, 1, '登陆系统', '172.16.17.32', '2018-06-13 20:59:28'); INSERT INTO `sys_oplog` VALUES (4300, 1, '登陆系统', '172.16.58.3', '2018-06-13 21:49:35'); INSERT INTO `sys_oplog` VALUES (4301, 1, '登陆系统', '172.16.58.3', '2018-06-13 22:36:11'); INSERT INTO `sys_oplog` VALUES (4302, 1, '登陆系统', '172.16.58.3', '2018-06-13 22:40:23'); INSERT INTO `sys_oplog` VALUES (4303, 1, '登陆系统', '172.16.58.3', '2018-06-14 00:55:03'); INSERT INTO `sys_oplog` VALUES (4304, 1, '登陆系统', '172.16.58.3', '2018-06-14 00:56:20'); INSERT INTO `sys_oplog` VALUES (4305, 1, '登陆系统', '172.16.58.3', '2018-06-14 09:03:12'); INSERT INTO `sys_oplog` VALUES (4306, 1, '登陆系统', '172.16.17.32', '2018-06-14 09:06:47'); INSERT INTO `sys_oplog` VALUES (4307, 1, '登陆系统', '172.16.17.32', '2018-06-14 09:10:42'); INSERT INTO `sys_oplog` VALUES (4308, 1, '[消费记录] 导出cvs', '172.16.17.32', '2018-06-14 09:23:17'); INSERT INTO `sys_oplog` VALUES (4309, 1, '[消费记录] 导出cvs', '172.16.17.32', '2018-06-14 09:24:20'); INSERT INTO `sys_oplog` VALUES (4310, 1, '[微信充值记录] 导出cvs', '172.16.17.32', '2018-06-14 09:27:20'); INSERT INTO `sys_oplog` VALUES (4311, 1, '[微信充值记录] 导出cvs', '172.16.17.32', '2018-06-14 09:29:54'); INSERT INTO `sys_oplog` VALUES (4312, 1, '登陆系统', '172.16.58.3', '2018-06-14 10:14:42'); INSERT INTO `sys_oplog` VALUES (4313, 1, '登陆系统', '172.16.17.32', '2018-06-14 13:21:21'); INSERT INTO `sys_oplog` VALUES (4314, 1, '登陆系统', '172.16.17.32', '2018-06-14 13:22:33'); INSERT INTO `sys_oplog` VALUES (4315, 1, '退出系统', '172.16.17.32', '2018-06-14 13:41:43'); INSERT INTO `sys_oplog` VALUES (4316, 1, '登陆系统', '172.16.17.32', '2018-06-14 13:41:50'); INSERT INTO `sys_oplog` VALUES (4317, 1, '登陆系统', '172.16.17.32', '2018-06-14 13:57:01'); INSERT INTO `sys_oplog` VALUES (4318, 1, '登陆系统', '172.16.58.3', '2018-06-14 16:13:25'); INSERT INTO `sys_oplog` VALUES (4319, 1, '登陆系统', '172.16.17.32', '2018-06-14 16:21:53'); INSERT INTO `sys_oplog` VALUES (4320, 1, '登陆系统', '172.16.17.32', '2018-06-14 16:24:22'); INSERT INTO `sys_oplog` VALUES (4321, 1, '[消费记录] 导出cvs', '172.16.58.3', '2018-06-14 19:02:13'); INSERT INTO `sys_oplog` VALUES (4322, 1, '登陆系统', '172.16.58.3', '2018-06-14 19:14:32'); INSERT INTO `sys_oplog` VALUES (4323, 1, '登陆系统', '172.16.58.3', '2018-06-14 22:50:05'); INSERT INTO `sys_oplog` VALUES (4324, 1, '登陆系统', '192.168.127.12', '2018-06-15 00:26:32'); INSERT INTO `sys_oplog` VALUES (4325, 1, '登陆系统', '192.168.127.12', '2018-06-15 01:00:05'); INSERT INTO `sys_oplog` VALUES (4326, 1, '登陆系统', '172.16.58.3', '2018-06-15 01:10:29'); INSERT INTO `sys_oplog` VALUES (4327, 1, '登陆系统', '192.168.3.11', '2018-06-15 01:13:01'); INSERT INTO `sys_oplog` VALUES (4328, 1, '登陆系统', '192.168.127.12', '2018-06-15 06:54:58'); INSERT INTO `sys_oplog` VALUES (4329, 1, '登陆系统', '172.16.58.3', '2018-06-15 07:54:54'); INSERT INTO `sys_oplog` VALUES (4330, 1, '[在线用户] 导出cvs', '192.168.3.11', '2018-06-15 08:32:30'); INSERT INTO `sys_oplog` VALUES (4331, 1, '登陆系统', '172.16.58.3', '2018-06-15 08:55:19'); INSERT INTO `sys_oplog` VALUES (4332, 1, '[在线用户] 修改', '172.16.58.3', '2018-06-15 09:34:39'); INSERT INTO `sys_oplog` VALUES (4333, 1, '登陆系统', '192.168.127.12', '2018-06-15 09:38:08'); INSERT INTO `sys_oplog` VALUES (4334, 1, '[在线用户] 修改', '172.16.58.3', '2018-06-15 09:40:43'); INSERT INTO `sys_oplog` VALUES (4335, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-15 09:51:21'); INSERT INTO `sys_oplog` VALUES (4336, 1, '登陆系统', '172.16.58.3', '2018-06-15 10:28:54'); INSERT INTO `sys_oplog` VALUES (4337, 1, '登陆系统', '172.16.58.3', '2018-06-15 10:47:09'); INSERT INTO `sys_oplog` VALUES (4338, 1, '登陆系统', '172.16.17.32', '2018-06-15 11:11:48'); INSERT INTO `sys_oplog` VALUES (4339, 1, '登陆系统', '172.16.58.3', '2018-06-15 12:03:37'); INSERT INTO `sys_oplog` VALUES (4340, 1, '登陆系统', '172.16.58.3', '2018-06-15 12:47:15'); INSERT INTO `sys_oplog` VALUES (4341, 1, '登陆系统', '192.168.3.11', '2018-06-15 13:01:29'); INSERT INTO `sys_oplog` VALUES (4342, 1, '登陆系统', '172.16.58.3', '2018-06-15 13:02:57'); INSERT INTO `sys_oplog` VALUES (4343, 1, '登陆系统', '172.16.58.3', '2018-06-15 13:03:53'); INSERT INTO `sys_oplog` VALUES (4344, 1, '登陆系统', '172.16.17.32', '2018-06-15 13:47:55'); INSERT INTO `sys_oplog` VALUES (4345, 1, '登陆系统', '172.16.58.3', '2018-06-15 13:48:33'); INSERT INTO `sys_oplog` VALUES (4346, 1, '登陆系统', '172.16.58.3', '2018-06-15 15:28:53'); INSERT INTO `sys_oplog` VALUES (4347, 1, '登陆系统', '172.16.58.3', '2018-06-15 16:35:21'); INSERT INTO `sys_oplog` VALUES (4348, 1, '登陆系统', '172.16.31.10', '2018-06-15 17:19:26'); INSERT INTO `sys_oplog` VALUES (4349, 1, '登陆系统', '172.16.31.10', '2018-06-15 17:22:43'); INSERT INTO `sys_oplog` VALUES (4350, 1, '登陆系统', '192.168.127.12', '2018-06-15 18:23:40'); INSERT INTO `sys_oplog` VALUES (4351, 1, '登陆系统', '192.168.127.12', '2018-06-15 18:24:09'); INSERT INTO `sys_oplog` VALUES (4352, 1, '登陆系统', '172.16.31.10', '2018-06-15 18:42:00'); INSERT INTO `sys_oplog` VALUES (4353, 1, '登陆系统', '172.16.17.32', '2018-06-15 19:06:35'); INSERT INTO `sys_oplog` VALUES (4354, 1, '登陆系统', '172.16.58.3', '2018-06-15 19:21:54'); INSERT INTO `sys_oplog` VALUES (4355, 1, '登陆系统', '172.16.31.10', '2018-06-15 20:58:30'); INSERT INTO `sys_oplog` VALUES (4356, 1, '登陆系统', '172.16.31.10', '2018-06-15 21:23:16'); INSERT INTO `sys_oplog` VALUES (4357, 1, '登陆系统', '172.16.31.10', '2018-06-15 21:46:59'); INSERT INTO `sys_oplog` VALUES (4358, 1, '登陆系统', '172.16.58.3', '2018-06-15 22:59:25'); INSERT INTO `sys_oplog` VALUES (4359, 1, '登陆系统', '172.16.31.10', '2018-06-15 23:11:47'); INSERT INTO `sys_oplog` VALUES (4360, 1, '登陆系统', '172.16.31.10', '2018-06-15 23:34:12'); INSERT INTO `sys_oplog` VALUES (4361, 1, '登陆系统', '192.168.127.12', '2018-06-16 01:04:45'); INSERT INTO `sys_oplog` VALUES (4362, 1, '登陆系统', '192.168.127.12', '2018-06-16 11:08:49'); INSERT INTO `sys_oplog` VALUES (4363, 1, '登陆系统', '192.168.127.12', '2018-06-16 11:23:48'); INSERT INTO `sys_oplog` VALUES (4364, 1, '登陆系统', '192.168.127.12', '2018-06-16 11:51:37'); INSERT INTO `sys_oplog` VALUES (4365, 1, '登陆系统', '172.16.31.10', '2018-06-16 12:39:02'); INSERT INTO `sys_oplog` VALUES (4366, 1, '登陆系统', '192.168.127.12', '2018-06-16 13:46:31'); INSERT INTO `sys_oplog` VALUES (4367, 1, '登陆系统', '172.16.17.32', '2018-06-16 15:23:48'); INSERT INTO `sys_oplog` VALUES (4368, 1, '登陆系统', '172.16.17.32', '2018-06-16 16:37:31'); INSERT INTO `sys_oplog` VALUES (4369, 1, '登陆系统', '172.16.17.32', '2018-06-16 16:55:22'); INSERT INTO `sys_oplog` VALUES (4370, 1, '登陆系统', '172.16.17.32', '2018-06-16 16:55:59'); INSERT INTO `sys_oplog` VALUES (4371, 1, '登陆系统', '172.16.17.32', '2018-06-16 16:56:17'); INSERT INTO `sys_oplog` VALUES (4372, 1, '登陆系统', '172.16.17.32', '2018-06-16 16:56:30'); INSERT INTO `sys_oplog` VALUES (4373, 1, '登陆系统', '172.16.58.3', '2018-06-16 19:31:08'); INSERT INTO `sys_oplog` VALUES (4374, 1, '登陆系统', '192.168.127.12', '2018-06-16 21:19:50'); INSERT INTO `sys_oplog` VALUES (4375, 1, '登陆系统', '192.168.127.12', '2018-06-16 21:48:25'); INSERT INTO `sys_oplog` VALUES (4376, 1, '登陆系统', '192.168.127.12', '2018-06-16 22:39:15'); INSERT INTO `sys_oplog` VALUES (4377, 1, '登陆系统', '192.168.127.12', '2018-06-16 23:10:02'); INSERT INTO `sys_oplog` VALUES (4378, 1, '登陆系统', '192.168.127.12', '2018-06-17 00:23:36'); INSERT INTO `sys_oplog` VALUES (4379, 1, '登陆系统', '192.168.127.12', '2018-06-17 01:19:20'); INSERT INTO `sys_oplog` VALUES (4380, 1, '登陆系统', '192.168.3.11', '2018-06-17 09:19:32'); INSERT INTO `sys_oplog` VALUES (4381, 1, '登陆系统', '192.168.127.12', '2018-06-17 09:32:17'); INSERT INTO `sys_oplog` VALUES (4382, 1, '登陆系统', '192.168.127.12', '2018-06-17 09:59:04'); INSERT INTO `sys_oplog` VALUES (4383, 1, '登陆系统', '192.168.127.12', '2018-06-17 10:36:25'); INSERT INTO `sys_oplog` VALUES (4384, 1, '登陆系统', '192.168.127.12', '2018-06-17 10:37:50'); INSERT INTO `sys_oplog` VALUES (4385, 1, '登陆系统', '192.168.127.12', '2018-06-17 11:00:23'); INSERT INTO `sys_oplog` VALUES (4386, 1, '登陆系统', '192.168.127.12', '2018-06-17 11:29:43'); INSERT INTO `sys_oplog` VALUES (4387, 1, '登陆系统', '192.168.127.12', '2018-06-17 13:19:18'); INSERT INTO `sys_oplog` VALUES (4388, 1, '登陆系统', '192.168.127.12', '2018-06-17 14:10:32'); INSERT INTO `sys_oplog` VALUES (4389, 1, '登陆系统', '192.168.127.12', '2018-06-17 15:27:21'); INSERT INTO `sys_oplog` VALUES (4390, 1, '登陆系统', '192.168.127.12', '2018-06-17 15:40:19'); INSERT INTO `sys_oplog` VALUES (4391, 1, '登陆系统', '192.168.127.12', '2018-06-17 15:54:30'); INSERT INTO `sys_oplog` VALUES (4392, 1, '登陆系统', '192.168.127.12', '2018-06-17 16:13:00'); INSERT INTO `sys_oplog` VALUES (4393, 1, '[设备记录] 修改', '192.168.127.12', '2018-06-17 16:16:26'); INSERT INTO `sys_oplog` VALUES (4394, 1, '登陆系统', '192.168.127.12', '2018-06-17 16:19:27'); INSERT INTO `sys_oplog` VALUES (4395, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-17 16:30:32'); INSERT INTO `sys_oplog` VALUES (4396, 1, '[设备记录] 修改', '172.16.58.3', '2018-06-17 16:32:07'); INSERT INTO `sys_oplog` VALUES (4397, 1, '登陆系统', '192.168.127.12', '2018-06-17 17:42:48'); INSERT INTO `sys_oplog` VALUES (4398, 1, '登陆系统', '192.168.127.12', '2018-06-17 18:45:21'); INSERT INTO `sys_oplog` VALUES (4399, 1, '登陆系统', '192.168.127.12', '2018-06-17 18:47:00'); INSERT INTO `sys_oplog` VALUES (4400, 1, '登陆系统', '192.168.127.12', '2018-06-17 20:50:06'); INSERT INTO `sys_oplog` VALUES (4401, 1, '登陆系统', '192.168.127.12', '2018-06-17 23:57:15'); INSERT INTO `sys_oplog` VALUES (4402, 1, '登陆系统', '192.168.127.12', '2018-06-17 23:58:44'); INSERT INTO `sys_oplog` VALUES (4403, 1, '登陆系统', '172.16.17.32', '2018-06-18 06:51:06'); INSERT INTO `sys_oplog` VALUES (4404, 1, '登陆系统', '172.16.58.3', '2018-06-18 07:52:30'); INSERT INTO `sys_oplog` VALUES (4405, 1, '[在线用户] 修改', '172.16.58.3', '2018-06-18 08:31:01'); INSERT INTO `sys_oplog` VALUES (4406, 1, '登陆系统', '172.16.58.3', '2018-06-18 08:57:31'); INSERT INTO `sys_oplog` VALUES (4407, 1, '登陆系统', '192.168.3.11', '2018-06-18 09:34:46'); INSERT INTO `sys_oplog` VALUES (4408, 1, '[在线用户] 修改', '172.16.58.3', '2018-06-18 12:04:12'); INSERT INTO `sys_oplog` VALUES (4409, 1, '[在线用户] 修改', '172.16.58.3', '2018-06-18 12:11:06'); INSERT INTO `sys_oplog` VALUES (4410, 1, '登陆系统', '172.16.58.3', '2018-06-18 12:55:40'); INSERT INTO `sys_oplog` VALUES (4411, 1, '登陆系统', '172.16.58.3', '2018-06-18 13:02:52'); INSERT INTO `sys_oplog` VALUES (4412, 1, '登陆系统', '172.16.58.3', '2018-06-18 14:21:02'); INSERT INTO `sys_oplog` VALUES (4413, 1, '登陆系统', '172.16.17.32', '2018-06-18 16:05:47'); INSERT INTO `sys_oplog` VALUES (4414, 1, '登陆系统', '192.168.3.11', '2018-06-18 16:58:49'); INSERT INTO `sys_oplog` VALUES (4415, 1, '登陆系统', '192.168.3.11', '2018-06-18 22:15:25'); INSERT INTO `sys_oplog` VALUES (4416, 1, '登陆系统', '172.16.58.3', '2018-06-18 22:16:29'); INSERT INTO `sys_oplog` VALUES (4417, 1, '登陆系统', '172.16.58.3', '2018-06-18 22:32:13'); INSERT INTO `sys_oplog` VALUES (4418, 1, '登陆系统', '192.168.127.12', '2018-06-18 22:46:19'); INSERT INTO `sys_oplog` VALUES (4419, 1, '登陆系统', '192.168.127.12', '2018-06-18 23:26:50'); INSERT INTO `sys_oplog` VALUES (4420, 1, '登陆系统', '192.168.127.12', '2018-06-19 09:08:42'); INSERT INTO `sys_oplog` VALUES (4421, 1, '登陆系统', '172.16.31.10', '2018-06-19 09:24:33'); INSERT INTO `sys_oplog` VALUES (4422, 1, '登陆系统', '172.16.31.10', '2018-06-19 09:48:24'); INSERT INTO `sys_oplog` VALUES (4423, 1, '登陆系统', '172.16.31.10', '2018-06-19 10:02:10'); INSERT INTO `sys_oplog` VALUES (4424, 1, '登陆系统', '172.16.31.10', '2018-06-19 10:39:32'); INSERT INTO `sys_oplog` VALUES (4425, 1, '登陆系统', '192.168.127.12', '2018-06-19 11:49:25'); INSERT INTO `sys_oplog` VALUES (4426, 1, '登陆系统', '172.16.31.10', '2018-06-19 12:14:33'); INSERT INTO `sys_oplog` VALUES (4427, 1, '登陆系统', '192.168.127.12', '2018-06-19 13:02:44'); INSERT INTO `sys_oplog` VALUES (4428, 15, '退出系统', '192.168.127.12', '2018-06-21 17:16:46'); INSERT INTO `sys_oplog` VALUES (4429, 1, '登陆系统', '192.168.127.12', '2018-06-21 17:16:52'); INSERT INTO `sys_oplog` VALUES (4430, 1, '[角色管理] 增加', '192.168.127.12', '2018-06-21 17:17:52'); INSERT INTO `sys_oplog` VALUES (4431, 1, '[权限管理] 修改', '192.168.127.12', '2018-06-21 17:18:22'); INSERT INTO `sys_oplog` VALUES (4432, 1, '[用户管理] 增加', '192.168.127.12', '2018-06-21 17:18:54'); INSERT INTO `sys_oplog` VALUES (4433, 1, '退出系统', '192.168.127.12', '2018-06-21 17:18:57'); INSERT INTO `sys_oplog` VALUES (4434, 18, '登陆系统', '192.168.127.12', '2018-06-21 17:19:07'); INSERT INTO `sys_oplog` VALUES (4435, 18, '退出系统', '192.168.127.12', '2018-06-21 17:21:07'); INSERT INTO `sys_oplog` VALUES (4436, 1, '登陆系统', '192.168.127.12', '2018-06-21 17:21:12'); INSERT INTO `sys_oplog` VALUES (4437, 1, '[用户管理] 修改', '192.168.127.12', '2018-06-21 17:22:38'); INSERT INTO `sys_oplog` VALUES (4438, 1, '退出系统', '192.168.127.12', '2018-06-21 17:25:29'); INSERT INTO `sys_oplog` VALUES (4439, 18, '登陆系统', '192.168.127.12', '2018-06-21 17:25:39'); INSERT INTO `sys_oplog` VALUES (4440, 18, '退出系统', '192.168.127.12', '2018-06-21 17:36:38'); INSERT INTO `sys_oplog` VALUES (4441, 1, '登陆系统', '192.168.127.12', '2018-06-21 17:36:45'); INSERT INTO `sys_oplog` VALUES (4442, 1, '[优惠设置] 修改', '192.168.127.12', '2018-06-21 17:40:15'); INSERT INTO `sys_oplog` VALUES (4443, 1, '[优惠设置] 修改', '192.168.127.12', '2018-06-21 17:40:37'); INSERT INTO `sys_oplog` VALUES (4444, 1, '[优惠设置] 修改', '192.168.127.12', '2018-06-21 17:40:46'); INSERT INTO `sys_oplog` VALUES (4445, 1, '[优惠设置] 修改', '192.168.127.12', '2018-06-21 17:41:46'); INSERT INTO `sys_oplog` VALUES (4446, 1, '[优惠设置] 修改', '192.168.127.12', '2018-06-21 17:42:52'); INSERT INTO `sys_oplog` VALUES (4447, 1, '[优惠设置] 修改', '192.168.127.12', '2018-06-21 17:46:36'); INSERT INTO `sys_oplog` VALUES (4448, 1, '[优惠设置] 修改', '192.168.127.12', '2018-06-21 17:46:42'); INSERT INTO `sys_oplog` VALUES (4449, 1, '登陆系统', '172.16.31.10', '2018-06-21 18:07:49'); INSERT INTO `sys_oplog` VALUES (4450, 1, '登陆系统', '172.16.58.3', '2018-06-21 18:28:15'); INSERT INTO `sys_oplog` VALUES (4451, 1, '退出系统', '172.16.58.3', '2018-06-21 19:20:24'); INSERT INTO `sys_oplog` VALUES (4452, 18, '登陆系统', '172.16.58.3', '2018-06-21 19:21:25'); INSERT INTO `sys_oplog` VALUES (4453, 1, '登陆系统', '172.16.58.3', '2018-06-21 19:24:00'); INSERT INTO `sys_oplog` VALUES (4454, 1, '[权限管理] 修改', '172.16.58.3', '2018-06-21 19:24:27'); INSERT INTO `sys_oplog` VALUES (4455, 18, '退出系统', '172.16.58.3', '2018-06-21 19:25:10'); INSERT INTO `sys_oplog` VALUES (4456, 18, '登陆系统', '172.16.58.3', '2018-06-21 19:25:27'); INSERT INTO `sys_oplog` VALUES (4457, 1, '登陆系统', '172.16.58.3', '2018-06-21 21:37:26'); INSERT INTO `sys_oplog` VALUES (4458, 1, '登陆系统', '172.16.58.3', '2018-06-22 09:05:09'); INSERT INTO `sys_oplog` VALUES (4459, 1, '登陆系统', '172.16.58.3', '2018-06-22 09:18:01'); INSERT INTO `sys_oplog` VALUES (4460, 1, '登陆系统', '172.16.58.3', '2018-06-22 11:21:27'); INSERT INTO `sys_oplog` VALUES (4461, 1, '[优惠设置] 修改', '172.16.58.3', '2018-06-22 11:36:01'); INSERT INTO `sys_oplog` VALUES (4462, 1, '[优惠设置] 修改', '172.16.58.3', '2018-06-22 11:48:50'); INSERT INTO `sys_oplog` VALUES (4463, 1, '[优惠设置] 修改', '172.16.58.3', '2018-06-22 11:49:09'); INSERT INTO `sys_oplog` VALUES (4464, 1, '登陆系统', '172.16.58.3', '2018-06-22 12:11:39'); INSERT INTO `sys_oplog` VALUES (4465, 1, '[优惠设置] 修改', '172.16.58.3', '2018-06-22 12:33:32'); INSERT INTO `sys_oplog` VALUES (4466, 1, '登陆系统', '172.16.31.10', '2018-06-22 13:15:16'); INSERT INTO `sys_oplog` VALUES (4467, 1, '[在线用户] 修改', '172.16.58.3', '2018-06-22 14:37:06'); INSERT INTO `sys_oplog` VALUES (4468, 1, '登陆系统', '172.16.58.3', '2018-06-22 17:37:27'); INSERT INTO `sys_oplog` VALUES (4469, 1, '登陆系统', '172.16.58.3', '2018-06-22 19:37:22'); INSERT INTO `sys_oplog` VALUES (4470, 1, '登陆系统', '172.16.58.3', '2018-06-22 19:42:43'); INSERT INTO `sys_oplog` VALUES (4471, 1, '登陆系统', '172.16.17.32', '2018-06-22 19:55:57'); INSERT INTO `sys_oplog` VALUES (4472, 1, '登陆系统', '172.16.17.32', '2018-06-22 21:14:06'); INSERT INTO `sys_oplog` VALUES (4473, 1, '登陆系统', '172.16.58.3', '2018-06-22 22:18:48'); INSERT INTO `sys_oplog` VALUES (4474, 1, '登陆系统', '192.168.127.12', '2018-06-22 23:32:09'); INSERT INTO `sys_oplog` VALUES (4475, 1, '登陆系统', '192.168.127.12', '2018-06-22 23:34:16'); INSERT INTO `sys_oplog` VALUES (4476, 1, '登陆系统', '172.16.58.3', '2018-06-22 23:40:26'); INSERT INTO `sys_oplog` VALUES (4477, 1, '登陆系统', '172.16.31.10', '2018-06-23 06:52:23'); INSERT INTO `sys_oplog` VALUES (4478, 1, '登陆系统', '172.16.58.3', '2018-06-23 07:29:27'); INSERT INTO `sys_oplog` VALUES (4479, 1, '登陆系统', '172.16.58.3', '2018-06-23 07:31:21'); INSERT INTO `sys_oplog` VALUES (4480, 1, '登陆系统', '172.16.31.10', '2018-06-23 07:44:57'); INSERT INTO `sys_oplog` VALUES (4481, 1, '[在线用户] 修改', '172.16.31.10', '2018-06-23 08:00:34'); INSERT INTO `sys_oplog` VALUES (4482, 1, '登陆系统', '192.168.127.12', '2018-06-23 11:48:41'); INSERT INTO `sys_oplog` VALUES (4483, 1, '登陆系统', '192.168.127.12', '2018-06-23 12:23:05'); INSERT INTO `sys_oplog` VALUES (4484, 1, '登陆系统', '192.168.127.12', '2018-06-23 12:58:13'); INSERT INTO `sys_oplog` VALUES (4485, 1, '登陆系统', '172.16.31.10', '2018-06-23 13:31:36'); INSERT INTO `sys_oplog` VALUES (4486, 1, '登陆系统', '192.168.127.12', '2018-06-23 13:38:28'); INSERT INTO `sys_oplog` VALUES (4487, 1, '[设备记录] 修改', '192.168.127.12', '2018-06-23 13:39:11'); INSERT INTO `sys_oplog` VALUES (4488, 1, '[设备记录] 修改', '192.168.127.12', '2018-06-23 13:40:24'); INSERT INTO `sys_oplog` VALUES (4489, 1, '登陆系统', '172.16.31.10', '2018-06-23 14:03:00'); INSERT INTO `sys_oplog` VALUES (4490, 1, '登陆系统', '192.168.127.12', '2018-06-23 14:05:23'); INSERT INTO `sys_oplog` VALUES (4491, 1, '登陆系统', '172.16.58.3', '2018-06-23 18:38:47'); INSERT INTO `sys_oplog` VALUES (4492, 1, '登陆系统', '192.168.3.11', '2018-06-23 19:45:24'); INSERT INTO `sys_oplog` VALUES (4493, 1, '登陆系统', '172.16.58.3', '2018-06-23 20:13:24'); INSERT INTO `sys_oplog` VALUES (4494, 1, '登陆系统', '172.16.58.3', '2018-06-23 20:14:15'); INSERT INTO `sys_oplog` VALUES (4495, 1, '登陆系统', '172.16.58.3', '2018-06-23 20:41:55'); INSERT INTO `sys_oplog` VALUES (4496, 1, '登陆系统', '192.168.127.12', '2018-06-23 20:45:18'); INSERT INTO `sys_oplog` VALUES (4497, 1, '登陆系统', '172.16.58.3', '2018-06-23 21:09:54'); INSERT INTO `sys_oplog` VALUES (4498, 1, '登陆系统', '172.16.58.3', '2018-06-23 21:39:04'); INSERT INTO `sys_oplog` VALUES (4499, 1, '登陆系统', '172.16.58.3', '2018-06-23 21:53:40'); INSERT INTO `sys_oplog` VALUES (4500, 1, '登陆系统', '172.16.58.3', '2018-06-23 21:57:55'); INSERT INTO `sys_oplog` VALUES (4501, 1, '登陆系统', '172.16.58.3', '2018-06-23 22:23:19'); INSERT INTO `sys_oplog` VALUES (4502, 1, '登陆系统', '172.16.58.3', '2018-06-23 22:35:39'); INSERT INTO `sys_oplog` VALUES (4503, 1, '登陆系统', '172.16.58.3', '2018-06-23 22:55:53'); INSERT INTO `sys_oplog` VALUES (4504, 1, '登陆系统', '172.16.58.3', '2018-06-24 07:49:19'); INSERT INTO `sys_oplog` VALUES (4505, 1, '登陆系统', '172.16.58.3', '2018-06-24 08:05:44'); INSERT INTO `sys_oplog` VALUES (4506, 1, '登陆系统', '172.16.31.10', '2018-06-24 08:14:20'); INSERT INTO `sys_oplog` VALUES (4507, 1, '登陆系统', '172.16.31.10', '2018-06-24 08:51:10'); INSERT INTO `sys_oplog` VALUES (4508, 1, '登陆系统', '172.16.58.3', '2018-06-24 09:54:25'); INSERT INTO `sys_oplog` VALUES (4509, 1, '登陆系统', '172.16.31.10', '2018-06-24 09:56:52'); INSERT INTO `sys_oplog` VALUES (4510, 1, '登陆系统', '192.168.127.12', '2018-06-24 15:13:04'); INSERT INTO `sys_oplog` VALUES (4511, 1, '[设备记录] 修改', '192.168.127.12', '2018-06-24 15:14:00'); -- ---------------------------- -- Table structure for sys_role -- ---------------------------- DROP TABLE IF EXISTS `sys_role`; CREATE TABLE `sys_role` ( `id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT COMMENT 'id', `role_name` varchar(11) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '角色名称', `create_time` timestamp(0) DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 12 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '角色管理' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of sys_role -- ---------------------------- INSERT INTO `sys_role` VALUES (1, '系统管理员', '2016-02-04 21:05:45'); INSERT INTO `sys_role` VALUES (9, '开卡专用', '2017-04-12 21:15:44'); INSERT INTO `sys_role` VALUES (10, '客服', '2018-06-13 20:50:02'); INSERT INTO `sys_role` VALUES (11, '代理', '2018-06-21 17:17:51'); -- ---------------------------- -- Table structure for sys_role_btn -- ---------------------------- DROP TABLE IF EXISTS `sys_role_btn`; CREATE TABLE `sys_role_btn` ( `id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT COMMENT 'id', `role_id` int(11) DEFAULT NULL COMMENT '角色id', `btn_id` int(11) DEFAULT NULL COMMENT '按钮id', `create_time` timestamp(0) DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 3455 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of sys_role_btn -- ---------------------------- INSERT INTO `sys_role_btn` VALUES (249, 2, 10, '2017-01-25 19:04:21'); INSERT INTO `sys_role_btn` VALUES (250, 2, 9, '2017-01-25 19:04:21'); INSERT INTO `sys_role_btn` VALUES (251, 2, 8, '2017-01-25 19:04:21'); INSERT INTO `sys_role_btn` VALUES (252, 2, 7, '2017-01-25 19:04:21'); INSERT INTO `sys_role_btn` VALUES (253, 2, 14, '2017-01-25 19:04:21'); INSERT INTO `sys_role_btn` VALUES (254, 2, 13, '2017-01-25 19:04:21'); INSERT INTO `sys_role_btn` VALUES (255, 2, 12, '2017-01-25 19:04:21'); INSERT INTO `sys_role_btn` VALUES (256, 2, 11, '2017-01-25 19:04:21'); INSERT INTO `sys_role_btn` VALUES (257, 2, 6, '2017-01-25 19:04:21'); INSERT INTO `sys_role_btn` VALUES (258, 2, 5, '2017-01-25 19:04:21'); INSERT INTO `sys_role_btn` VALUES (259, 2, 4, '2017-01-25 19:04:21'); INSERT INTO `sys_role_btn` VALUES (260, 2, 3, '2017-01-25 19:04:21'); INSERT INTO `sys_role_btn` VALUES (338, 6, 33, '2017-01-25 20:33:40'); INSERT INTO `sys_role_btn` VALUES (339, 6, 32, '2017-01-25 20:33:40'); INSERT INTO `sys_role_btn` VALUES (340, 6, 31, '2017-01-25 20:33:40'); INSERT INTO `sys_role_btn` VALUES (341, 6, 30, '2017-01-25 20:33:40'); INSERT INTO `sys_role_btn` VALUES (342, 6, 42, '2017-01-25 20:33:40'); INSERT INTO `sys_role_btn` VALUES (343, 6, 37, '2017-01-25 20:33:40'); INSERT INTO `sys_role_btn` VALUES (344, 6, 36, '2017-01-25 20:33:40'); INSERT INTO `sys_role_btn` VALUES (345, 6, 35, '2017-01-25 20:33:40'); INSERT INTO `sys_role_btn` VALUES (346, 6, 34, '2017-01-25 20:33:40'); INSERT INTO `sys_role_btn` VALUES (347, 6, 41, '2017-01-25 20:33:40'); INSERT INTO `sys_role_btn` VALUES (348, 6, 40, '2017-01-25 20:33:40'); 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INSERT INTO `sys_role_btn` VALUES (535, 7, 28, '2017-04-04 19:24:41'); INSERT INTO `sys_role_btn` VALUES (536, 7, 27, '2017-04-04 19:24:41'); INSERT INTO `sys_role_btn` VALUES (537, 7, 26, '2017-04-04 19:24:41'); INSERT INTO `sys_role_btn` VALUES (538, 7, 47, '2017-04-04 19:24:41'); INSERT INTO `sys_role_btn` VALUES (539, 7, 46, '2017-04-04 19:24:41'); INSERT INTO `sys_role_btn` VALUES (540, 7, 45, '2017-04-04 19:24:41'); INSERT INTO `sys_role_btn` VALUES (541, 7, 44, '2017-04-04 19:24:41'); INSERT INTO `sys_role_btn` VALUES (1013, 8, 33, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1014, 8, 32, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1015, 8, 31, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1016, 8, 30, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1017, 8, 29, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1018, 8, 28, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1019, 8, 27, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1020, 8, 26, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1021, 8, 47, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1022, 8, 46, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1023, 8, 45, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1024, 8, 44, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1025, 8, 51, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1026, 8, 50, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1027, 8, 49, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1028, 8, 48, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1029, 8, 55, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1030, 8, 54, '2017-04-26 09:41:41'); INSERT INTO `sys_role_btn` VALUES (1860, 13, 29, '2017-06-23 23:08:48'); INSERT INTO `sys_role_btn` VALUES (1861, 13, 85, '2017-06-23 23:08:48'); INSERT INTO `sys_role_btn` VALUES (1862, 13, 84, '2017-06-23 23:08:48'); INSERT INTO `sys_role_btn` VALUES (1863, 13, 83, '2017-06-23 23:08:48'); INSERT INTO `sys_role_btn` VALUES (1864, 13, 82, '2017-06-23 23:08:48'); INSERT INTO `sys_role_btn` VALUES (1865, 13, 80, '2017-06-23 23:08:48'); INSERT INTO `sys_role_btn` VALUES (1866, 13, 79, '2017-06-23 23:08:48'); INSERT INTO `sys_role_btn` VALUES (1867, 13, 78, '2017-06-23 23:08:48'); INSERT INTO `sys_role_btn` VALUES (1868, 13, 77, '2017-06-23 23:08:48'); INSERT INTO `sys_role_btn` VALUES (3381, 12, 33, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3382, 12, 81, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3383, 12, 29, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3384, 12, 28, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3385, 12, 27, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3386, 12, 26, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3387, 12, 44, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3388, 12, 51, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3389, 12, 50, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3390, 12, 49, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3391, 12, 48, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3392, 12, 55, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3393, 12, 54, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3394, 12, 53, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3395, 12, 52, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3396, 12, 60, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3397, 12, 76, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3398, 12, 75, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3399, 12, 74, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3400, 12, 73, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3401, 12, 67, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3402, 12, 66, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3403, 12, 65, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3404, 12, 64, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3405, 12, 85, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3406, 12, 80, '2018-01-24 13:30:44'); INSERT INTO `sys_role_btn` VALUES (3423, 10, 33, '2018-06-13 20:57:35'); INSERT INTO `sys_role_btn` VALUES (3424, 10, 29, '2018-06-13 20:57:35'); INSERT INTO `sys_role_btn` VALUES (3425, 10, 47, '2018-06-13 20:57:35'); INSERT INTO `sys_role_btn` VALUES (3426, 10, 46, '2018-06-13 20:57:36'); INSERT INTO `sys_role_btn` VALUES (3427, 10, 45, '2018-06-13 20:57:36'); INSERT INTO `sys_role_btn` VALUES (3428, 10, 44, '2018-06-13 20:57:36'); INSERT INTO `sys_role_btn` VALUES (3429, 10, 51, '2018-06-13 20:57:36'); INSERT INTO `sys_role_btn` VALUES (3430, 10, 50, '2018-06-13 20:57:36'); INSERT INTO `sys_role_btn` VALUES (3431, 10, 49, '2018-06-13 20:57:36'); INSERT INTO `sys_role_btn` VALUES (3432, 10, 48, '2018-06-13 20:57:36'); INSERT INTO `sys_role_btn` VALUES (3433, 10, 55, '2018-06-13 20:57:36'); INSERT INTO `sys_role_btn` VALUES (3434, 10, 60, '2018-06-13 20:57:36'); INSERT INTO `sys_role_btn` VALUES (3435, 10, 59, '2018-06-13 20:57:36'); INSERT INTO `sys_role_btn` VALUES (3436, 10, 76, '2018-06-13 20:57:36'); INSERT INTO `sys_role_btn` VALUES (3437, 10, 64, '2018-06-13 20:57:36'); INSERT INTO `sys_role_btn` VALUES (3438, 10, 80, '2018-06-13 20:57:36'); INSERT INTO `sys_role_btn` VALUES (3439, 9, 25, '2018-06-13 20:57:55'); INSERT INTO `sys_role_btn` VALUES (3440, 9, 33, '2018-06-13 20:57:55'); INSERT INTO `sys_role_btn` VALUES (3441, 9, 29, '2018-06-13 20:57:55'); INSERT INTO `sys_role_btn` VALUES (3442, 9, 47, '2018-06-13 20:57:55'); INSERT INTO `sys_role_btn` VALUES (3443, 9, 46, '2018-06-13 20:57:55'); INSERT INTO `sys_role_btn` VALUES (3444, 9, 45, '2018-06-13 20:57:55'); INSERT INTO `sys_role_btn` VALUES (3445, 9, 44, '2018-06-13 20:57:55'); INSERT INTO `sys_role_btn` VALUES (3446, 9, 51, '2018-06-13 20:57:55'); INSERT INTO `sys_role_btn` VALUES (3447, 9, 55, '2018-06-13 20:57:55'); INSERT INTO `sys_role_btn` VALUES (3448, 9, 60, '2018-06-13 20:57:55'); INSERT INTO `sys_role_btn` VALUES (3449, 9, 76, '2018-06-13 20:57:55'); INSERT INTO `sys_role_btn` VALUES (3450, 9, 68, '2018-06-13 20:57:55'); INSERT INTO `sys_role_btn` VALUES (3451, 9, 72, '2018-06-13 20:57:55'); INSERT INTO `sys_role_btn` VALUES (3452, 9, 64, '2018-06-13 20:57:55'); INSERT INTO `sys_role_btn` VALUES (3453, 9, 85, '2018-06-13 20:57:55'); INSERT INTO `sys_role_btn` VALUES (3454, 9, 80, '2018-06-13 20:57:55'); -- ---------------------------- -- Table structure for sys_role_datarule -- ---------------------------- DROP TABLE IF EXISTS `sys_role_datarule`; CREATE TABLE `sys_role_datarule` ( `id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT COMMENT 'id', `role_id` int(11) NOT NULL COMMENT '角色', `datarule_id` int(11) NOT NULL COMMENT '数据规则', `create_time` timestamp(0) DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 8 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '角色数据规则' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of sys_role_datarule -- ---------------------------- INSERT INTO `sys_role_datarule` VALUES (7, 5, 5, '2017-04-04 17:20:24'); -- ---------------------------- -- Table structure for sys_role_menu -- ---------------------------- DROP TABLE IF EXISTS `sys_role_menu`; CREATE TABLE `sys_role_menu` ( `id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT COMMENT 'id', `role_id` int(11) DEFAULT NULL COMMENT '角色', `menu_id` int(11) DEFAULT NULL COMMENT '菜单', `create_time` timestamp(0) DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 3056 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '角色菜单' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of sys_role_menu -- ---------------------------- INSERT INTO `sys_role_menu` VALUES (573, 6, 18, '2017-01-25 20:33:40'); INSERT INTO `sys_role_menu` VALUES (574, 6, 15, '2017-01-25 20:33:40'); INSERT INTO `sys_role_menu` VALUES (575, 6, 16, '2017-01-25 20:33:40'); INSERT INTO `sys_role_menu` VALUES (576, 6, 17, '2017-01-25 20:33:40'); INSERT INTO `sys_role_menu` VALUES (639, 5, 19, '2017-04-04 17:20:24'); INSERT INTO `sys_role_menu` VALUES (660, 7, 19, '2017-04-04 19:24:41'); INSERT INTO `sys_role_menu` VALUES (661, 7, 20, '2017-04-04 19:24:41'); INSERT INTO `sys_role_menu` VALUES (662, 7, 21, '2017-04-04 19:24:41'); INSERT INTO `sys_role_menu` VALUES (663, 7, 17, '2017-04-04 19:24:41'); INSERT INTO `sys_role_menu` VALUES (664, 7, 15, '2017-04-04 19:24:41'); INSERT INTO `sys_role_menu` VALUES (665, 7, 18, '2017-04-04 19:24:41'); INSERT INTO `sys_role_menu` VALUES (1095, 8, 19, '2017-04-26 09:41:41'); INSERT INTO `sys_role_menu` VALUES (1096, 8, 20, '2017-04-26 09:41:41'); INSERT INTO `sys_role_menu` VALUES (1097, 8, 21, '2017-04-26 09:41:41'); INSERT INTO `sys_role_menu` VALUES (1098, 8, 29, '2017-04-26 09:41:41'); INSERT INTO `sys_role_menu` VALUES (1099, 8, 15, '2017-04-26 09:41:41'); INSERT INTO `sys_role_menu` VALUES (1100, 8, 18, '2017-04-26 09:41:41'); INSERT INTO `sys_role_menu` VALUES (1728, 13, 19, '2017-06-23 23:08:47'); INSERT INTO `sys_role_menu` VALUES (1729, 13, 20, '2017-06-23 23:08:47'); INSERT INTO `sys_role_menu` VALUES (1730, 13, 21, '2017-06-23 23:08:47'); INSERT INTO `sys_role_menu` VALUES (1731, 13, 29, '2017-06-23 23:08:47'); INSERT INTO `sys_role_menu` VALUES (1732, 13, 15, '2017-06-23 23:08:47'); INSERT INTO `sys_role_menu` VALUES (1733, 13, 33, '2017-06-23 23:08:47'); INSERT INTO `sys_role_menu` VALUES (1734, 13, 34, '2017-06-23 23:08:48'); INSERT INTO `sys_role_menu` VALUES (1735, 13, 25, '2017-06-23 23:08:48'); INSERT INTO `sys_role_menu` VALUES (1736, 13, 18, '2017-06-23 23:08:48'); INSERT INTO `sys_role_menu` VALUES (2776, 1, 19, '2017-12-07 11:36:07'); INSERT INTO `sys_role_menu` VALUES (2777, 1, 20, '2017-12-07 11:36:07'); INSERT INTO `sys_role_menu` VALUES (2778, 1, 21, '2017-12-07 11:36:07'); INSERT INTO `sys_role_menu` VALUES (2779, 1, 29, '2017-12-07 11:36:07'); INSERT INTO `sys_role_menu` VALUES (2780, 1, 33, '2017-12-07 11:36:07'); INSERT INTO `sys_role_menu` VALUES (2781, 1, 15, '2017-12-07 11:36:07'); INSERT INTO `sys_role_menu` VALUES (2782, 1, 34, '2017-12-07 11:36:07'); INSERT INTO `sys_role_menu` VALUES (2783, 1, 25, '2017-12-07 11:36:07'); INSERT INTO `sys_role_menu` VALUES (2784, 1, 2, '2017-12-07 11:36:07'); INSERT INTO `sys_role_menu` VALUES (2785, 1, 3, '2017-12-07 11:36:07'); INSERT INTO `sys_role_menu` VALUES (2786, 1, 4, '2017-12-07 11:36:07'); INSERT INTO `sys_role_menu` VALUES (2987, 12, 19, '2018-01-24 13:30:44'); INSERT INTO `sys_role_menu` VALUES (2988, 12, 20, '2018-01-24 13:30:44'); INSERT INTO `sys_role_menu` VALUES (2989, 12, 21, '2018-01-24 13:30:44'); INSERT INTO `sys_role_menu` VALUES (2990, 12, 29, '2018-01-24 13:30:44'); INSERT INTO `sys_role_menu` VALUES (2991, 12, 15, '2018-01-24 13:30:44'); INSERT INTO `sys_role_menu` VALUES (2992, 12, 33, '2018-01-24 13:30:44'); INSERT INTO `sys_role_menu` VALUES (2993, 12, 34, '2018-01-24 13:30:44'); INSERT INTO `sys_role_menu` VALUES (2994, 12, 25, '2018-01-24 13:30:44'); INSERT INTO `sys_role_menu` VALUES (2995, 12, 18, '2018-01-24 13:30:44'); INSERT INTO `sys_role_menu` VALUES (2996, 15, 19, '2018-02-24 11:38:53'); INSERT INTO `sys_role_menu` VALUES (2997, 15, 20, '2018-02-24 11:38:53'); INSERT INTO `sys_role_menu` VALUES (2998, 15, 21, '2018-02-24 11:38:53'); INSERT INTO `sys_role_menu` VALUES (2999, 15, 29, '2018-02-24 11:38:53'); INSERT INTO `sys_role_menu` VALUES (3000, 15, 15, '2018-02-24 11:38:53'); INSERT INTO `sys_role_menu` VALUES (3001, 15, 33, '2018-02-24 11:38:53'); INSERT INTO `sys_role_menu` VALUES (3002, 15, 34, '2018-02-24 11:38:53'); INSERT INTO `sys_role_menu` VALUES (3003, 15, 25, '2018-02-24 11:38:53'); INSERT INTO `sys_role_menu` VALUES (3004, 15, 24, '2018-02-24 11:38:53'); INSERT INTO `sys_role_menu` VALUES (3016, 10, 29, '2018-06-13 20:57:35'); INSERT INTO `sys_role_menu` VALUES (3017, 10, 15, '2018-06-13 20:57:35'); INSERT INTO `sys_role_menu` VALUES (3018, 10, 33, '2018-06-13 20:57:35'); INSERT INTO `sys_role_menu` VALUES (3019, 10, 34, '2018-06-13 20:57:35'); INSERT INTO `sys_role_menu` VALUES (3020, 10, 25, '2018-06-13 20:57:35'); INSERT INTO `sys_role_menu` VALUES (3021, 10, 18, '2018-06-13 20:57:35'); INSERT INTO `sys_role_menu` VALUES (3022, 10, 35, '2018-06-13 20:57:35'); INSERT INTO `sys_role_menu` VALUES (3023, 10, 27, '2018-06-13 20:57:35'); INSERT INTO `sys_role_menu` VALUES (3024, 10, 28, '2018-06-13 20:57:35'); INSERT INTO `sys_role_menu` VALUES (3025, 10, 31, '2018-06-13 20:57:35'); INSERT INTO `sys_role_menu` VALUES (3026, 10, 38, '2018-06-13 20:57:35'); INSERT INTO `sys_role_menu` VALUES (3027, 10, 39, '2018-06-13 20:57:35'); INSERT INTO `sys_role_menu` VALUES (3028, 9, 19, '2018-06-13 20:57:55'); INSERT INTO `sys_role_menu` VALUES (3029, 9, 20, '2018-06-13 20:57:55'); INSERT INTO `sys_role_menu` VALUES (3030, 9, 21, '2018-06-13 20:57:55'); INSERT INTO `sys_role_menu` VALUES (3031, 9, 29, '2018-06-13 20:57:55'); INSERT INTO `sys_role_menu` VALUES (3032, 9, 15, '2018-06-13 20:57:55'); INSERT INTO `sys_role_menu` VALUES (3033, 9, 33, '2018-06-13 20:57:55'); INSERT INTO `sys_role_menu` VALUES (3034, 9, 34, '2018-06-13 20:57:55'); INSERT INTO `sys_role_menu` VALUES (3035, 9, 25, '2018-06-13 20:57:55'); INSERT INTO `sys_role_menu` VALUES (3036, 9, 18, '2018-06-13 20:57:55'); INSERT INTO `sys_role_menu` VALUES (3037, 9, 23, '2018-06-13 20:57:55'); INSERT INTO `sys_role_menu` VALUES (3038, 9, 35, '2018-06-13 20:57:55'); INSERT INTO `sys_role_menu` VALUES (3048, 11, 29, '2018-06-21 19:24:27'); INSERT INTO `sys_role_menu` VALUES (3049, 11, 15, '2018-06-21 19:24:27'); INSERT INTO `sys_role_menu` VALUES (3050, 11, 33, '2018-06-21 19:24:27'); INSERT INTO `sys_role_menu` VALUES (3051, 11, 34, '2018-06-21 19:24:27'); INSERT INTO `sys_role_menu` VALUES (3052, 11, 18, '2018-06-21 19:24:27'); INSERT INTO `sys_role_menu` VALUES (3053, 11, 35, '2018-06-21 19:24:27'); INSERT INTO `sys_role_menu` VALUES (3054, 11, 27, '2018-06-21 19:24:27'); INSERT INTO `sys_role_menu` VALUES (3055, 11, 28, '2018-06-21 19:24:27'); -- ---------------------------- -- Table structure for sys_user -- ---------------------------- DROP TABLE IF EXISTS `sys_user`; CREATE TABLE `sys_user` ( `id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT, `user_name` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '用户名', `password` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '密码', `roles` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '角色', `create_time` timestamp(0) DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', `openid` varchar(30) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL, `pid` int(11) DEFAULT NULL, `rate` varchar(30) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL, PRIMARY KEY (`id`) USING BTREE ) ENGINE = MyISAM AUTO_INCREMENT = 19 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '用户管理' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of sys_user -- ---------------------------- INSERT INTO `sys_user` VALUES (1, 'admin', 'zheshimima0.', '1', '2017-10-18 21:15:16', '11', NULL, NULL); INSERT INTO `sys_user` VALUES (11, '开卡专用', 'zheshimima0.', '9', '2017-12-25 18:35:13', NULL, NULL, NULL); INSERT INTO `sys_user` VALUES (13, '梧桐郡', 'zheshimima0.', '12', '2018-01-24 13:27:59', NULL, NULL, NULL); INSERT INTO `sys_user` VALUES (15, 'admin', 'zheshimima0.', '1', '2016-01-08 15:33:05', 'oHxT3wDuZ6jUpVFF6PbnBVgx3YAA', 1, '0.006'); INSERT INTO `sys_user` VALUES (17, 'kefu', '12345678', '9', '2018-06-13 20:58:31', NULL, NULL, NULL); INSERT INTO `sys_user` VALUES (18, 'agent01', 'ycyl...', '11', '2018-06-21 17:18:53', NULL, NULL, NULL); -- ---------------------------- -- Table structure for task_base -- ---------------------------- DROP TABLE IF EXISTS `task_base`; CREATE TABLE `task_base` ( `id` int(11) NOT NULL AUTO_INCREMENT COMMENT 'id', `name` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL DEFAULT '' COMMENT '名称', `target_type` int(11) DEFAULT NULL COMMENT '任务类型', `target_value` text CHARACTER SET utf8 COLLATE utf8_general_ci COMMENT '任务值', `cron` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT 'cron表达式', `last_run_result` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '上次执行结果', `last_run_time` datetime(0) DEFAULT NULL COMMENT '上次执行时间', `last_run_time_cost` int(11) DEFAULT NULL COMMENT '上次执行耗时', `status` int(11) DEFAULT NULL COMMENT '状态', `create_user_id` int(11) DEFAULT NULL COMMENT '创建人', `create_time` timestamp(0) NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '定时任务' ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for task_log -- ---------------------------- DROP TABLE IF EXISTS `task_log`; CREATE TABLE `task_log` ( `id` int(11) NOT NULL AUTO_INCREMENT COMMENT 'id', `task_id` int(11) DEFAULT NULL COMMENT '所属任务', `result` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '执行结果', `start_time` datetime(0) DEFAULT NULL COMMENT '开始时间', `end_time` datetime(0) DEFAULT NULL COMMENT '结束时间', `cost_time` int(11) DEFAULT NULL COMMENT '耗时', `remark` varchar(500) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '备注', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '定时任务-日志' ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for tb_proc_log -- ---------------------------- DROP TABLE IF EXISTS `tb_proc_log`; CREATE TABLE `tb_proc_log` ( `id` int(11) NOT NULL AUTO_INCREMENT COMMENT 'id', `proc_name` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '过程名称', `statu` varchar(20) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '状态', `start_time` datetime(0) DEFAULT CURRENT_TIMESTAMP COMMENT '开始时间', `end_time` datetime(0) DEFAULT NULL COMMENT '结束时间', `cost_time` int(11) DEFAULT NULL COMMENT '耗时', `error_code` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT 'error_code', `error_msg` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT 'error_msg', `step` int(11) DEFAULT NULL COMMENT 'step', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '存储过程运行日志' ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for zcurd_field -- ---------------------------- DROP TABLE IF EXISTS `zcurd_field`; CREATE TABLE `zcurd_field` ( `id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT, `head_id` int(11) DEFAULT NULL COMMENT '所属表', `field_name` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '字段名称', `column_name` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '列表列名', `column_length` int(11) DEFAULT 120 COMMENT '列宽', `data_type` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '数据类型', `input_type` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT 'easyui-textbox' COMMENT '控件类型', `is_show_list` int(11) DEFAULT 1 COMMENT '是否列表显示', `is_allow_detail` int(11) DEFAULT 1 COMMENT '是否详情显示', `is_allow_add` int(11) DEFAULT 1 COMMENT '是否允许增加', `is_allow_update` int(11) DEFAULT 1 COMMENT '是否允许编辑', `is_search` int(11) DEFAULT 0 COMMENT '是否搜索', `is_allow_null` int(11) DEFAULT 1 COMMENT '是否允许为空', `dict_sql` varchar(1000) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '字典sql', `order_num` int(11) DEFAULT 0 COMMENT '顺序', `search_type` int(11) DEFAULT 1 COMMENT '搜索类型(1:值,2:范围)', `is_sum` int(11) DEFAULT 0 COMMENT '是否汇总', `create_time` timestamp(0) DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = MyISAM AUTO_INCREMENT = 10361 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '在线表单字段' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of zcurd_field -- ---------------------------- INSERT INTO `zcurd_field` VALUES (10226, 28, 'updateTime', '最后更新时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 0, 1, '', 15, 1, 0, '2017-04-04 18:25:56'); INSERT INTO `zcurd_field` VALUES (10225, 28, 'remark', '备注', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 14, 1, 0, '2017-04-04 18:25:56'); INSERT INTO `zcurd_field` VALUES (29, 5, 'method_name', '后台method名称', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 4, 1, 0, '2016-02-14 16:35:56'); INSERT INTO `zcurd_field` VALUES (27, 5, 'btn_name', '按钮名称', 100, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 2, 1, 0, '2016-02-14 16:35:56'); INSERT INTO `zcurd_field` VALUES (34, 6, 'value', '字段件值', 80, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 5, 1, 0, '2016-02-25 23:55:58'); INSERT INTO `zcurd_field` VALUES (36, 6, 'symbol', '符号', 80, 'varchar', 'easyui-combobox', 1, 1, 1, 1, 0, 0, 'select dict_key, dict_value from sys_dict where dict_type=\'datarule_symbol\'', 4, 1, 0, '2016-02-28 03:20:56'); INSERT INTO `zcurd_field` VALUES (33, 6, 'field_name', '字段名称', 100, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 3, 1, 0, '2016-02-25 23:55:58'); INSERT INTO `zcurd_field` VALUES (32, 6, 'menu_id', '菜单', 100, 'int', 'easyui-combobox', 1, 1, 1, 1, 1, 0, 'select id, menu_name from sys_menu', 2, 1, 0, '2016-02-25 23:55:58'); INSERT INTO `zcurd_field` VALUES (44, 8, 'create_time', '创建时间', 120, 'timestamp', 'easyui-datebox', 1, 1, 0, 0, 0, 1, '', 0, 1, 0, '2016-02-12 01:58:39'); INSERT INTO `zcurd_field` VALUES (43, 8, 'role_name', '角色名称', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 0, 1, 0, '2016-02-12 01:58:39'); INSERT INTO `zcurd_field` VALUES (42, 8, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 0, 1, 0, '2016-02-12 01:58:39'); INSERT INTO `zcurd_field` VALUES (30, 5, 'create_time', '创建时间', 120, 'timestamp', 'easyui-datebox', 0, 0, 0, 0, 0, 0, '', 5, 1, 0, '2016-02-14 16:35:56'); INSERT INTO `zcurd_field` VALUES (37, 7, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 0, 1, 0, '2016-03-01 04:39:14'); INSERT INTO `zcurd_field` VALUES (41, 7, 'create_time', '创建时间', 120, 'timestamp', 'easyui-datebox', 1, 1, 0, 0, 1, 0, '', 4, 2, 0, '2016-03-01 04:39:14'); INSERT INTO `zcurd_field` VALUES (40, 7, 'dict_value', '值', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 0, '', 2, 1, 0, '2016-03-01 04:39:14'); INSERT INTO `zcurd_field` VALUES (39, 7, 'dict_key', '键', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 0, '', 3, 1, 0, '2016-03-01 04:39:14'); INSERT INTO `zcurd_field` VALUES (38, 7, 'dict_type', '类型', 120, 'varchar', 'easyui-combobox', 1, 1, 1, 1, 1, 0, 'select distinct dict_type as \'key\', dict_type as \'value\' from sys_dict', 1, 1, 0, '2016-03-01 04:39:14'); INSERT INTO `zcurd_field` VALUES (61, 12, 'roles', '角色', 120, 'varchar', 'easyui-combobox', 1, 1, 1, 1, 0, 1, 'select id, role_name from sys_role where id>1', 4, 1, 0, '2016-02-23 04:31:08'); INSERT INTO `zcurd_field` VALUES (59, 12, 'password', '密码', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 3, 1, 0, '2016-01-07 21:31:45'); INSERT INTO `zcurd_field` VALUES (58, 12, 'user_name', '用户名', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 2, 1, 0, '2016-01-07 21:31:45'); INSERT INTO `zcurd_field` VALUES (57, 12, 'id', 'id', 120, 'int', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 1, 1, 0, '2016-01-07 21:31:45'); INSERT INTO `zcurd_field` VALUES (31, 6, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2016-02-25 23:55:58'); INSERT INTO `zcurd_field` VALUES (3, 1, 'btn_name', '按钮名称', 80, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 3, 1, 0, '2016-01-11 21:58:48'); INSERT INTO `zcurd_field` VALUES (10000, 1, 'head_id', '所属表单', 100, 'int', 'easyui-combobox', 1, 1, 1, 1, 1, 0, 'select id, form_name from zcurd_head', 2, 1, 0, '2016-09-27 00:06:53'); INSERT INTO `zcurd_field` VALUES (35, 6, 'create_time', '创建时间', 120, 'timestamp', 'easyui-datebox', 0, 0, 0, 0, 0, 0, '', 6, 1, 0, '2016-02-25 23:55:58'); INSERT INTO `zcurd_field` VALUES (25, 5, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 0, 1, 0, '2016-02-14 16:35:56'); INSERT INTO `zcurd_field` VALUES (28, 5, 'class_name', '页面class名称', 100, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 3, 1, 0, '2016-02-14 16:35:56'); INSERT INTO `zcurd_field` VALUES (1, 1, 'create_time', '创建时间', 130, 'timestamp', 'easyui-textbox', 1, 1, 0, 0, 0, 1, '', 7, 1, 0, '2016-01-11 21:58:48'); INSERT INTO `zcurd_field` VALUES (2, 1, 'func_content', '方法内容', 120, 'text', 'textarea', 0, 1, 1, 1, 0, 0, '', 6, 1, 0, '2016-01-11 21:58:48'); INSERT INTO `zcurd_field` VALUES (4, 1, 'location', '按钮位置', 80, 'int', 'easyui-combobox', 1, 1, 1, 1, 0, 0, 'select 1, \'顶部\' union all select 2, \'行内\'', 4, 1, 0, '2016-01-11 21:58:48'); INSERT INTO `zcurd_field` VALUES (5, 1, 'action', '行为', 80, 'int', 'easyui-combobox', 1, 1, 1, 1, 0, 0, 'select 0, \'自定义\' union all select 1, \'打开子页面\'', 5, 1, 0, '2016-01-11 21:58:48'); INSERT INTO `zcurd_field` VALUES (6, 2, 'create_time', '创建时间', 130, 'timestamp', 'easyui-textbox', 1, 1, 0, 0, 0, 1, '', 5, 1, 0, '2016-01-12 15:35:01'); INSERT INTO `zcurd_field` VALUES (7, 2, 'js_content', 'js内容', 120, 'text', 'textarea', 0, 1, 1, 1, 0, 0, '', 4, 1, 0, '2016-01-12 15:35:01'); INSERT INTO `zcurd_field` VALUES (8, 2, 'page', '页面', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 3, 1, 0, '2016-01-12 15:35:01'); INSERT INTO `zcurd_field` VALUES (9, 2, 'head_id', '所属表单', 120, 'int', 'easyui-combobox', 1, 1, 1, 1, 1, 0, 'select id, form_name from zcurd_head', 2, 1, 0, '2016-01-12 15:35:01'); INSERT INTO `zcurd_field` VALUES (26, 5, 'menu_id', '所属菜单', 100, 'int', 'easyui-combobox', 1, 1, 1, 1, 1, 0, 'select id, menu_name from sys_menu', 1, 1, 0, '2016-02-14 16:35:56'); INSERT INTO `zcurd_field` VALUES (10202, 26, 'chargenum', '充值次数', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 8, 1, 0, '2017-04-04 13:38:02'); INSERT INTO `zcurd_field` VALUES (10205, 26, 'jointime', '充卡时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 1, 1, '', 11, 2, 0, '2017-04-04 13:38:02'); INSERT INTO `zcurd_field` VALUES (10186, 24, 'createTime', '充值时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 0, 0, '', 5, 1, 0, '2017-01-25 19:48:32'); INSERT INTO `zcurd_field` VALUES (10185, 24, 'amount', '剩余金额(分)', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 4, 1, 1, '2017-01-25 19:48:32'); INSERT INTO `zcurd_field` VALUES (10182, 24, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2017-01-25 19:48:32'); INSERT INTO `zcurd_field` VALUES (10183, 24, 'openId', '用户编号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 2, 1, 0, '2017-01-25 19:48:32'); INSERT INTO `zcurd_field` VALUES (10184, 24, 'money', '充值金额(分)', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 3, 1, 1, '2017-01-25 19:48:32'); INSERT INTO `zcurd_field` VALUES (10194, 25, 'property', '物业名称', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 7, 1, 0, '2017-03-31 00:07:01'); INSERT INTO `zcurd_field` VALUES (10193, 25, 'address', '住址', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 6, 1, 0, '2017-03-31 00:07:01'); INSERT INTO `zcurd_field` VALUES (10191, 25, 'phone', '手机号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 0, '', 4, 1, 0, '2017-03-31 00:07:01'); INSERT INTO `zcurd_field` VALUES (10192, 25, 'cardnum', '卡号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 5, 1, 0, '2017-03-31 00:07:01'); INSERT INTO `zcurd_field` VALUES (10190, 25, 'propertyid', '物业编号', 120, 'int', 'easyui-numberspinner', 1, 0, 1, 0, 0, 1, '', 3, 1, 0, '2017-03-31 00:07:01'); INSERT INTO `zcurd_field` VALUES (10189, 25, 'name', '用户名', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 0, '', 2, 1, 0, '2017-03-31 00:07:01'); INSERT INTO `zcurd_field` VALUES (10188, 25, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2017-03-31 00:07:01'); INSERT INTO `zcurd_field` VALUES (10204, 26, 'total', '总共次数', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 10, 1, 0, '2017-04-04 13:38:02'); INSERT INTO `zcurd_field` VALUES (10216, 28, 'tow_hours_price', '非员会2小时价格', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 1, '', 5, 1, 0, '2017-04-04 18:25:56'); INSERT INTO `zcurd_field` VALUES (10217, 28, 'four_hours_price', '非员会4小时价格', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 1, '', 6, 1, 0, '2017-04-04 18:25:56'); INSERT INTO `zcurd_field` VALUES (10218, 28, 'eight_hours_price', '非员会8小时价格', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 1, '', 7, 1, 0, '2017-04-04 18:25:56'); INSERT INTO `zcurd_field` VALUES (10221, 28, 'four_hours_mem_price', '员会4小时价格', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 1, '', 10, 1, 0, '2017-04-04 18:25:56'); INSERT INTO `zcurd_field` VALUES (10220, 28, 'tow_hours_mem_price', '员会2小时价格', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 1, '', 9, 1, 0, '2017-04-04 18:25:56'); INSERT INTO `zcurd_field` VALUES (10219, 28, 'twelve_hours_price', '非员会12小时价格', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 1, '', 8, 1, 0, '2017-04-04 18:25:56'); INSERT INTO `zcurd_field` VALUES (10223, 28, 'twelve_hours_mem_price', '员会12小时价格', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 1, '', 12, 1, 0, '2017-04-04 18:25:56'); INSERT INTO `zcurd_field` VALUES (10224, 28, 'status', '状态', 120, 'char', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 13, 1, 0, '2017-04-04 18:25:56'); INSERT INTO `zcurd_field` VALUES (10206, 27, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2017-04-04 16:26:15'); INSERT INTO `zcurd_field` VALUES (10210, 27, 'losttime', '挂失时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 1, 1, '', 5, 2, 0, '2017-04-04 16:26:15'); INSERT INTO `zcurd_field` VALUES (10211, 27, 'balance', '剩余次数', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 6, 1, 0, '2017-04-04 16:26:15'); INSERT INTO `zcurd_field` VALUES (10207, 27, 'uid', '用户编号', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 1, '', 2, 1, 0, '2017-04-04 16:26:15'); INSERT INTO `zcurd_field` VALUES (10208, 27, 'name', '用户姓名', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 3, 1, 0, '2017-04-04 16:26:15'); INSERT INTO `zcurd_field` VALUES (10176, 23, 'cardnumber', '卡号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 2, 1, 0, '2017-01-25 19:17:41'); INSERT INTO `zcurd_field` VALUES (10177, 23, 'createtime', '办卡时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 1, 1, '', 3, 1, 0, '2017-01-25 19:17:41'); INSERT INTO `zcurd_field` VALUES (10215, 28, 'area', '设备位置', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 4, 1, 0, '2017-04-04 18:25:56'); INSERT INTO `zcurd_field` VALUES (10214, 28, 'match_num', '通讯序号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 3, 1, 0, '2017-04-04 18:25:56'); INSERT INTO `zcurd_field` VALUES (10213, 28, 'QR_num', '设备序号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 2, 1, 0, '2017-04-04 18:25:56'); INSERT INTO `zcurd_field` VALUES (10212, 28, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2017-04-04 18:25:56'); INSERT INTO `zcurd_field` VALUES (10174, 22, 'createDate', '创建时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 0, 1, '', 13, 1, 0, '2017-01-25 18:54:32'); INSERT INTO `zcurd_field` VALUES (10170, 22, 'serverResultCode', '服务器返回充电结果', 120, 'varchar', 'easyui-textbox', 0, 0, 0, 0, 0, 1, '', 9, 1, 0, '2017-01-25 18:54:32'); INSERT INTO `zcurd_field` VALUES (10171, 22, 'serverResultDesc', ' 服务器充电结果描述', 120, 'varchar', 'easyui-textbox', 0, 0, 0, 0, 0, 1, '', 10, 1, 0, '2017-01-25 18:54:32'); INSERT INTO `zcurd_field` VALUES (10172, 22, 'status', '终端充电状态', 120, 'char', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 11, 1, 0, '2017-01-25 18:54:32'); INSERT INTO `zcurd_field` VALUES (10173, 22, 'chargeTime', '分钟', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 12, 1, 0, '2017-01-25 18:54:32'); INSERT INTO `zcurd_field` VALUES (10169, 22, 'operType', '充电方式(手动:M,微信W)', 120, 'char', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 8, 1, 0, '2017-01-25 18:54:32'); INSERT INTO `zcurd_field` VALUES (10168, 22, 'endTime', '结束充电时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 0, 1, '', 7, 1, 0, '2017-01-25 18:54:32'); INSERT INTO `zcurd_field` VALUES (10167, 22, 'startTime', '开始充电时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 0, 0, '', 6, 1, 0, '2017-01-25 18:54:32'); INSERT INTO `zcurd_field` VALUES (10166, 22, 'operStartTime', '操作时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 0, 0, '', 5, 1, 0, '2017-01-25 18:54:32'); INSERT INTO `zcurd_field` VALUES (10165, 22, 'devicePort', '设备通道', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 4, 1, 0, '2017-01-25 18:54:32'); INSERT INTO `zcurd_field` VALUES (10164, 22, 'deviceId', '设备编号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 0, '', 3, 1, 0, '2017-01-25 18:54:32'); INSERT INTO `zcurd_field` VALUES (10163, 22, 'openId', '微信用户号', 120, 'varchar', 'easyui-textbox', 0, 0, 0, 0, 0, 0, '', 2, 1, 0, '2017-01-25 18:54:32'); INSERT INTO `zcurd_field` VALUES (10162, 22, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2017-01-25 18:54:32'); INSERT INTO `zcurd_field` VALUES (10180, 23, 'uid', '绑定用户ID', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 1, '', 6, 1, 0, '2017-01-25 19:17:41'); INSERT INTO `zcurd_field` VALUES (10179, 23, 'state', '状态', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 5, 1, 0, '2017-01-25 19:17:41'); INSERT INTO `zcurd_field` VALUES (10178, 23, 'updatetime', '更新时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 0, 1, '', 4, 1, 0, '2017-01-25 19:17:41'); INSERT INTO `zcurd_field` VALUES (10175, 23, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2017-01-25 19:17:41'); INSERT INTO `zcurd_field` VALUES (10181, 23, 'uname', '用户昵称', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 7, 1, 0, '2017-01-25 19:17:41'); INSERT INTO `zcurd_field` VALUES (10187, 24, 'chargeType', '充值类型(CH 物理充电卡,WA虚拟充电卡)', 120, 'char', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 6, 1, 0, '2017-01-25 19:48:32'); INSERT INTO `zcurd_field` VALUES (10203, 26, 'money', '消费金额', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 9, 1, 0, '2017-04-04 13:38:02'); INSERT INTO `zcurd_field` VALUES (10201, 26, 'cardcs', '卡次数', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 7, 1, 0, '2017-04-04 13:38:02'); INSERT INTO `zcurd_field` VALUES (10199, 26, 'phone', '手机号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 5, 1, 0, '2017-04-04 13:38:02'); INSERT INTO `zcurd_field` VALUES (10200, 26, 'cardnum', '卡号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 6, 1, 0, '2017-04-04 13:38:02'); INSERT INTO `zcurd_field` VALUES (10198, 26, 'name', '用户名称', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 4, 1, 0, '2017-04-04 13:38:02'); INSERT INTO `zcurd_field` VALUES (10197, 26, 'uid', '用户编号', 120, 'int', 'easyui-numberspinner', 0, 0, 1, 0, 0, 1, '', 3, 1, 0, '2017-04-04 13:38:02'); INSERT INTO `zcurd_field` VALUES (10196, 26, 'gid', '业物管理编号', 120, 'int', 'easyui-numberspinner', 0, 0, 1, 0, 0, 1, '', 2, 1, 0, '2017-04-04 13:38:02'); INSERT INTO `zcurd_field` VALUES (10195, 26, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2017-04-04 13:38:02'); INSERT INTO `zcurd_field` VALUES (10238, 29, 'value', '秘钥数值', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 4, 1, 0, '2017-04-06 22:23:05'); INSERT INTO `zcurd_field` VALUES (10237, 29, 'key', '秘钥名称', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 3, 1, 0, '2017-04-06 22:23:05'); INSERT INTO `zcurd_field` VALUES (10236, 29, 'gid', 'gid', 120, 'int', 'easyui-numberspinner', 0, 0, 0, 0, 0, 1, '', 2, 1, 0, '2017-04-06 22:23:05'); INSERT INTO `zcurd_field` VALUES (10235, 29, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2017-04-06 22:23:05'); INSERT INTO `zcurd_field` VALUES (10239, 29, 'remark', '备注', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 5, 1, 0, '2017-04-06 22:23:05'); INSERT INTO `zcurd_field` VALUES (10269, 31, 'cardCode', '充电卡号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 4, 1, 0, '2017-04-06 23:04:13'); INSERT INTO `zcurd_field` VALUES (10263, 30, 'walletNumber', 'walletNumber', 120, 'varchar', 'easyui-textbox', 0, 0, 0, 0, 0, 1, '', 24, 1, 0, '2017-04-06 22:42:43'); INSERT INTO `zcurd_field` VALUES (10264, 30, 'walletAccount', '钱包', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 1, '', 25, 1, 0, '2017-04-06 22:42:43'); INSERT INTO `zcurd_field` VALUES (10333, 37, 'coupon_count', '代金券或立减优惠使用数量', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 1, NULL, 18, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10334, 37, 'attach', '商家数据包', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, NULL, 19, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10315, 36, 'time', '支付日期', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 9, 2, 0, '2017-04-06 23:23:03'); INSERT INTO `zcurd_field` VALUES (10307, 36, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2017-04-06 23:23:03'); INSERT INTO `zcurd_field` VALUES (10308, 36, 'actNum', 'actNum', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 2, 1, 0, '2017-04-06 23:23:03'); INSERT INTO `zcurd_field` VALUES (10309, 36, 'type', '类型(CH:充电)', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 3, 1, 0, '2017-04-06 23:23:03'); INSERT INTO `zcurd_field` VALUES (10310, 36, 'money', '充值金额', 120, 'double', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 4, 1, 0, '2017-04-06 23:23:03'); INSERT INTO `zcurd_field` VALUES (10265, 30, 'updateTime', 'updateTime', 120, 'datetime', 'easyui-datebox', 0, 0, 0, 0, 0, 1, '', 26, 1, 0, '2017-04-06 22:42:43'); INSERT INTO `zcurd_field` VALUES (10270, 31, 'balance', '剩余金额', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 5, 1, 0, '2017-04-06 23:04:13'); INSERT INTO `zcurd_field` VALUES (10259, 30, 'phyCardNumber', '物理卡号', 120, 'varchar', 'easyui-textbox', 0, 0, 0, 0, 0, 1, '', 20, 1, 0, '2017-04-06 22:42:43'); INSERT INTO `zcurd_field` VALUES (10260, 30, 'cardAccount', 'cardAccount', 120, 'int', 'easyui-numberspinner', 0, 0, 0, 0, 0, 1, '', 21, 1, 0, '2017-04-06 22:42:43'); INSERT INTO `zcurd_field` VALUES (10261, 30, 'band', '是否绑定手机(Y:绑定 N:未绑定)', 120, 'char', 'easyui-textbox', 1, 1, 1, 1, 0, 1, NULL, 22, 1, 0, '2017-04-06 22:42:43'); INSERT INTO `zcurd_field` VALUES (10256, 30, 'lastLoginDate', '最后登录时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 0, 1, NULL, 17, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10262, 30, 'status', '用户状态(Y有效 N:无效或无此用户)', 120, 'char', 'easyui-textbox', 0, 0, 0, 0, 0, 1, '', 23, 1, 0, '2017-04-06 22:42:43'); INSERT INTO `zcurd_field` VALUES (10258, 30, 'cardNumber', '卡号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, NULL, 19, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10257, 30, 'level', '等级', 120, 'int', 'easyui-numberspinner', 0, 0, 0, 0, 0, 1, '', 18, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10255, 30, 'registerDate', '注册时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 0, 0, NULL, 16, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10254, 30, 'remember', '是否记住密码', 120, 'char', 'easyui-textbox', 0, 0, 0, 0, 0, 1, '', 15, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10253, 30, '<PASSWORD>', '<PASSWORD>', 120, 'varchar', 'easyui-textbox', 0, 0, 0, 0, 0, 1, '', 14, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10252, 30, 'password', '<PASSWORD>', 120, 'varchar', 'easyui-textbox', 0, 0, 0, 0, 0, 1, '', 13, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10251, 30, 'tel', '手机号码', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 12, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10250, 30, 'email', '邮箱', 120, 'varchar', 'easyui-textbox', 0, 0, 0, 0, 0, 1, '', 11, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10248, 30, 'country', 'country', 120, 'varchar', 'easyui-textbox', 0, 0, 0, 0, 0, 1, '', 9, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10249, 30, 'province', '省会', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 10, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10247, 30, 'city', '城市', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 8, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10246, 30, 'privilege', 'privilege', 120, 'varchar', 'easyui-textbox', 0, 0, 0, 0, 0, 1, '', 7, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10242, 30, 'nickName', '昵称', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, NULL, 3, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10243, 30, 'headimgurl', '头像', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 4, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10244, 30, 'sex', '性别', 120, 'int', 'easyui-numberspinner', 0, 0, 0, 0, 0, 1, '', 5, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10245, 30, 'unionid', 'unionid', 120, 'varchar', 'easyui-textbox', 0, 0, 0, 0, 0, 1, '', 6, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10241, 30, 'openId', '微信用户的唯一识别', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 2, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10240, 30, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2017-04-06 22:42:42'); INSERT INTO `zcurd_field` VALUES (10268, 31, 'phyicalId', '物理编号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 3, 1, 0, '2017-04-06 23:04:13'); INSERT INTO `zcurd_field` VALUES (10267, 31, 'deviceId', '设备编号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 2, 1, 0, '2017-04-06 23:04:13'); INSERT INTO `zcurd_field` VALUES (10266, 31, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2017-04-06 23:04:13'); INSERT INTO `zcurd_field` VALUES (10271, 31, 'joinDate', '刷卡时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 1, 1, '', 6, 2, 0, '2017-04-06 23:04:13'); INSERT INTO `zcurd_field` VALUES (10278, 32, 'jointime', '记录时间', 140, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 1, 1, '', 7, 2, 0, '2017-04-06 23:08:13'); INSERT INTO `zcurd_field` VALUES (10343, 38, 'jointime', '操作时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 1, 1, '', 5, 2, 0, '2017-04-22 18:37:26'); INSERT INTO `zcurd_field` VALUES (10272, 32, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2017-04-06 23:08:13'); INSERT INTO `zcurd_field` VALUES (10273, 32, 'type', '类型', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 2, 1, 0, '2017-04-06 23:08:13'); INSERT INTO `zcurd_field` VALUES (10274, 32, 'openid', '用户编号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 3, 1, 0, '2017-04-06 23:08:13'); INSERT INTO `zcurd_field` VALUES (10277, 32, 'content', '日志内容', 350, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 6, 1, 0, '2017-04-06 23:08:13'); INSERT INTO `zcurd_field` VALUES (10276, 32, 'ip', 'IP地址', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 5, 1, 0, '2017-04-06 23:08:13'); INSERT INTO `zcurd_field` VALUES (10275, 32, 'deviceid', '设备编号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 4, 1, 0, '2017-04-06 23:08:13'); INSERT INTO `zcurd_field` VALUES (10285, 33, 'jointime', '记录时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 1, 1, '', 7, 2, 0, '2017-04-06 23:11:55'); INSERT INTO `zcurd_field` VALUES (10284, 33, 'content', '返回内容', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 6, 1, 0, '2017-04-06 23:11:55'); INSERT INTO `zcurd_field` VALUES (10283, 33, 'status', '状态', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 5, 1, 0, '2017-04-06 23:11:55'); INSERT INTO `zcurd_field` VALUES (10282, 33, 'channelnum', '通道编号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 4, 1, 0, '2017-04-06 23:11:55'); INSERT INTO `zcurd_field` VALUES (10281, 33, 'openid', '用户编号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 3, 1, 0, '2017-04-06 23:11:55'); INSERT INTO `zcurd_field` VALUES (10280, 33, 'deviceid', '设备编号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 2, 1, 0, '2017-04-06 23:11:55'); INSERT INTO `zcurd_field` VALUES (10279, 33, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2017-04-06 23:11:54'); INSERT INTO `zcurd_field` VALUES (10291, 34, 'chargeType', '充值类型(CH 物理充电卡,WA虚拟充电卡)', 120, 'char', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 6, 1, 0, '2017-04-06 23:15:35'); INSERT INTO `zcurd_field` VALUES (10290, 34, 'createTime', '充值时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 1, 0, '', 5, 1, 0, '2017-04-06 23:15:35'); INSERT INTO `zcurd_field` VALUES (10289, 34, 'amount', '剩余金额(分)', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 4, 1, 0, '2017-04-06 23:15:35'); INSERT INTO `zcurd_field` VALUES (10288, 34, 'money', '充值金额(分)', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 3, 1, 0, '2017-04-06 23:15:35'); INSERT INTO `zcurd_field` VALUES (10286, 34, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2017-04-06 23:15:35'); INSERT INTO `zcurd_field` VALUES (10287, 34, 'openId', '用户编号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 2, 1, 0, '2017-04-06 23:15:35'); INSERT INTO `zcurd_field` VALUES (10306, 35, 'MD5', '防止重复提交,时间+设备号+端口=MD5', 120, 'varchar', 'easyui-textbox', 0, 0, 0, 0, 0, 1, '', 15, 1, 0, '2017-04-06 23:17:17'); INSERT INTO `zcurd_field` VALUES (10305, 35, 'createDate', '操作时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 1, 1, '', 14, 1, 0, '2017-04-06 23:17:17'); INSERT INTO `zcurd_field` VALUES (10304, 35, 'chargeTime', '充电时间(分钟)', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 13, 1, 0, '2017-04-06 23:17:17'); INSERT INTO `zcurd_field` VALUES (10302, 35, 'status', '终端充电状态', 120, 'char', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 11, 1, 0, '2017-04-06 23:17:17'); INSERT INTO `zcurd_field` VALUES (10303, 35, 'charge', '消费金额', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 12, 1, 0, '2017-04-06 23:17:17'); INSERT INTO `zcurd_field` VALUES (10301, 35, 'serverResultDesc', ' 服务器充电结果描述', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 10, 1, 0, '2017-04-06 23:17:17'); INSERT INTO `zcurd_field` VALUES (10300, 35, 'serverResultCode', '服务器返回充电结果', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 9, 1, 0, '2017-04-06 23:17:17'); INSERT INTO `zcurd_field` VALUES (10299, 35, 'operType', '充电方式(手动:M,微信W)', 120, 'char', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 8, 1, 0, '2017-04-06 23:17:17'); INSERT INTO `zcurd_field` VALUES (10297, 35, 'startTime', '开始充电时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 0, 1, '', 6, 1, 0, '2017-04-06 23:17:17'); INSERT INTO `zcurd_field` VALUES (10298, 35, 'endTime', '结束时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 0, 1, '', 7, 1, 0, '2017-04-06 23:17:17'); INSERT INTO `zcurd_field` VALUES (10295, 35, 'devicePort', '设备端口号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 4, 1, 0, '2017-04-06 23:17:17'); INSERT INTO `zcurd_field` VALUES (10296, 35, 'operStartTime', '操作开始时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 0, 0, '', 5, 1, 0, '2017-04-06 23:17:17'); INSERT INTO `zcurd_field` VALUES (10294, 35, 'deviceId', '设备编号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 0, '', 3, 1, 0, '2017-04-06 23:17:17'); INSERT INTO `zcurd_field` VALUES (10293, 35, 'openId', '用户编号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 2, 1, 0, '2017-04-06 23:17:17'); INSERT INTO `zcurd_field` VALUES (10292, 35, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2017-04-06 23:17:16'); INSERT INTO `zcurd_field` VALUES (10314, 36, 'remark', '备注', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, '', 8, 1, 0, '2017-04-06 23:23:03'); INSERT INTO `zcurd_field` VALUES (10313, 36, 'status', '状态(有效:Y 无效N)', 120, 'char', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 7, 1, 0, '2017-04-06 23:23:03'); INSERT INTO `zcurd_field` VALUES (10312, 36, 'coupon', '送优惠次数', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 1, '', 6, 1, 0, '2017-04-06 23:23:03'); INSERT INTO `zcurd_field` VALUES (10311, 36, 'chargeNum', '充电次数', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 1, '', 5, 1, 0, '2017-04-06 23:23:03'); INSERT INTO `zcurd_field` VALUES (10227, 28, 'createTime', '设备加入时间', 120, 'datetime', 'easyui-datebox', 1, 1, 1, 1, 1, 1, '', 16, 2, 0, '2017-04-04 18:25:56'); INSERT INTO `zcurd_field` VALUES (10222, 28, 'eight_hours_mem_price', '员会8小时价格', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 1, '', 11, 1, 0, '2017-04-04 18:25:56'); INSERT INTO `zcurd_field` VALUES (10209, 27, 'cardnum', '用户卡号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 4, 1, 0, '2017-04-04 16:26:15'); INSERT INTO `zcurd_field` VALUES (10331, 37, 'coupon_id', '代金券或立减优惠ID', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, NULL, 16, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10332, 37, 'coupon_fee', '单个代金券或立减优惠支付金额', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 1, NULL, 17, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10324, 37, 'result_code', '业务结果', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, NULL, 9, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10330, 37, 'transaction_id', '微信支付订单号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, NULL, 15, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10329, 37, 'bank_type', '付款银行', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, NULL, 14, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10328, 37, 'trade_type', '交易类型', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, NULL, 13, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10327, 37, 'is_subscribe', 'is_subscribe', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, NULL, 12, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10326, 37, 'err_code_des', 'err_code_des', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, NULL, 11, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10325, 37, 'err_code', '错误代码', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, NULL, 10, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10323, 37, 'fee_type', '货币种类', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, NULL, 8, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10322, 37, 'total_fee', '总金额', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, NULL, 7, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10321, 37, 'cash_fee', 'cash_fee', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, NULL, 6, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10320, 37, 'mch_id', 'mch_id', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, NULL, 5, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10319, 37, 'openId', '用户标识', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, NULL, 4, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10318, 37, 'out_trade_no', 'out_trade_no', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, NULL, 3, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10317, 37, 'appid', 'appid', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, '', 2, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10316, 37, 'id', '主键ID', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, NULL, 1, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10335, 37, 'time_end', '支付完成时间', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 0, '', 20, 2, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10336, 37, 'couresCount', '购买的课时数', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, NULL, 21, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10337, 37, 'couresId', '购买的课程编号', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, NULL, 22, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10338, 37, 'url', '视频播放地址', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 0, NULL, 23, 1, 0, '2017-04-06 23:25:54'); INSERT INTO `zcurd_field` VALUES (10341, 38, 'deviceid', '设备编号', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 3, 1, 0, '2017-04-22 18:37:26'); INSERT INTO `zcurd_field` VALUES (10342, 38, 'content', '日志内容', 280, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 1, 1, '', 4, 1, 0, '2017-04-22 18:37:26'); INSERT INTO `zcurd_field` VALUES (10339, 38, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 0, 0, '', 1, 1, 0, '2017-04-22 18:37:26'); INSERT INTO `zcurd_field` VALUES (10340, 38, 'type', '类别', 120, 'int', 'easyui-numberspinner', 1, 1, 1, 1, 1, 1, '', 2, 1, 0, '2017-04-22 18:37:26'); INSERT INTO `zcurd_field` VALUES (60, 12, 'create_time', '创建时间', 120, 'timestamp', 'easyui-textbox', 1, 1, 0, 0, 1, 1, '', 5, 2, 0, '2016-01-07 21:31:45'); INSERT INTO `zcurd_field` VALUES (10349, 39, 'remark', '设备位置', 120, 'varchar', 'easyui-textbox', 1, 1, 0, 0, 0, 1, '', 6, 1, 0, '2017-08-31 21:46:24'); INSERT INTO `zcurd_field` VALUES (10348, 39, 'reson', '事件原因', 120, 'varchar', 'easyui-textbox', 1, 1, 0, 0, 1, 1, '', 5, 1, 0, '2017-08-31 21:46:24'); INSERT INTO `zcurd_field` VALUES (10346, 39, 'ercode', '设备编号', 120, 'varchar', 'easyui-textbox', 1, 1, 0, 0, 1, 1, '', 3, 1, 0, '2017-08-31 21:46:24'); INSERT INTO `zcurd_field` VALUES (10347, 39, 'updatedate', '掉线时间', 120, 'datetime', 'easyui-datebox', 1, 1, 0, 0, 1, 1, '', 4, 1, 0, '2017-08-31 21:46:24'); INSERT INTO `zcurd_field` VALUES (10345, 39, 'deviceid', '联网模块', 120, 'varchar', 'easyui-textbox', 1, 1, 0, 0, 1, 1, '', 2, 1, 0, '2017-08-31 21:46:24'); INSERT INTO `zcurd_field` VALUES (10344, 39, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 0, 0, 0, 0, '', 1, 1, 0, '2017-08-31 21:46:24'); INSERT INTO `zcurd_field` VALUES (10353, 40, 'status', '状态', 120, 'char', 'easyui-textbox', 1, 1, 0, 0, 1, 1, '', 4, 1, 0, '2017-08-31 21:48:57'); INSERT INTO `zcurd_field` VALUES (10352, 40, 'port', '端口', 120, 'char', 'easyui-textbox', 1, 1, 0, 0, 0, 1, '', 3, 1, 0, '2017-08-31 21:48:57'); INSERT INTO `zcurd_field` VALUES (10351, 40, 'deviceid', '设备编号', 120, 'varchar', 'easyui-textbox', 1, 1, 0, 0, 1, 1, '', 2, 1, 0, '2017-08-31 21:48:57'); INSERT INTO `zcurd_field` VALUES (10350, 40, 'id', 'id', 120, 'int', 'easyui-numberspinner', 1, 1, 0, 0, 0, 0, '', 1, 1, 0, '2017-08-31 21:48:57'); INSERT INTO `zcurd_field` VALUES (10354, 40, 'updatedate', '更新日期', 120, 'datetime', 'easyui-datebox', 1, 1, 0, 0, 1, 1, '', 5, 2, 0, '2017-08-31 21:48:57'); INSERT INTO `zcurd_field` VALUES (10355, 41, 'id', 'id', 120, 'int unsigned', 'easyui-textbox', 1, 1, 1, 1, 0, 0, NULL, 1, 1, 0, '2017-11-03 10:45:44'); INSERT INTO `zcurd_field` VALUES (10356, 41, 'user_name', '用户名', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, NULL, 2, 1, 0, '2017-11-03 10:45:44'); INSERT INTO `zcurd_field` VALUES (10357, 41, 'password', '密码', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, NULL, 3, 1, 0, '2017-11-03 10:45:44'); INSERT INTO `zcurd_field` VALUES (10358, 41, 'roles', '角色', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, NULL, 4, 1, 0, '2017-11-03 10:45:44'); INSERT INTO `zcurd_field` VALUES (10359, 41, 'create_time', '创建时间', 120, 'timestamp', 'easyui-datebox', 1, 1, 1, 1, 0, 1, NULL, 5, 1, 0, '2017-11-03 10:45:44'); INSERT INTO `zcurd_field` VALUES (10360, 41, 'openid', 'openid', 120, 'varchar', 'easyui-textbox', 1, 1, 1, 1, 0, 1, NULL, 6, 1, 0, '2017-11-03 10:45:44'); -- ---------------------------- -- Table structure for zcurd_head -- ---------------------------- DROP TABLE IF EXISTS `zcurd_head`; CREATE TABLE `zcurd_head` ( `id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT, `table_name` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '数据库表名', `form_name` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '表单名称', `id_field` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT 'id' COMMENT '主键字段', `is_auto` int(11) DEFAULT 1 COMMENT '是否自增', `form_type` int(11) DEFAULT 1 COMMENT '表单类型（1:单表,2:主从）', `dialog_size` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL DEFAULT '600x400' COMMENT '弹窗大小', `db_source` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '数据源', `create_time` timestamp(0) DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = MyISAM AUTO_INCREMENT = 42 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '在线表单' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of zcurd_head -- ---------------------------- INSERT INTO `zcurd_head` VALUES (1, 'zcurd_head_btn', '表单扩展按钮', 'id', 1, 1, '600x400', 'zcurd_base', '2016-01-11 21:58:48'); INSERT INTO `zcurd_head` VALUES (2, 'zcurd_head_js', '表单扩展js', 'id', 1, 1, '600x400', 'zcurd_base', '2016-01-12 15:35:01'); INSERT INTO `zcurd_head` VALUES (5, 'sys_menu_btn', '菜单按钮（权限编辑）', 'id', 1, 1, '400x300', 'zcurd_base', '2016-02-14 16:35:56'); INSERT INTO `zcurd_head` VALUES (6, 'sys_menu_datarule', '菜单数据（权限编辑）', 'id', 1, 1, '400x300', 'zcurd_base', '2016-02-25 23:55:58'); INSERT INTO `zcurd_head` VALUES (7, 'sys_dict', '数据字典', 'id', 1, 1, '400x300', 'zcurd_base', '2016-03-01 04:39:14'); INSERT INTO `zcurd_head` VALUES (8, 'sys_role', '角色管理', 'id', 1, 1, '600x400', 'zcurd_base', '2016-02-12 01:58:39'); INSERT INTO `zcurd_head` VALUES (12, 'sys_user', '用户管理', 'id', 1, 1, '400x300', 'zcurd_base', '2016-01-07 21:31:45'); INSERT INTO `zcurd_head` VALUES (27, 'lostcard', '挂失记录', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-04-04 16:26:15'); INSERT INTO `zcurd_head` VALUES (28, 'qr_match_device', '设备记录', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-04-04 18:25:56'); INSERT INTO `zcurd_head` VALUES (22, 'charge_battery_info', '充电桩充值记录', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-01-25 18:54:32'); INSERT INTO `zcurd_head` VALUES (23, 'card', '用户IC卡表', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-01-25 19:17:41'); INSERT INTO `zcurd_head` VALUES (24, 'charge_money_info', '充值金额管理', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-01-25 19:48:32'); INSERT INTO `zcurd_head` VALUES (25, 'customer', '物业用户卡信息', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-03-31 00:07:01'); INSERT INTO `zcurd_head` VALUES (26, 'charge', '物业端充电纪录表', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-04-04 13:38:02'); INSERT INTO `zcurd_head` VALUES (29, 'config', '秘钥配置', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-04-06 22:23:05'); INSERT INTO `zcurd_head` VALUES (30, 'tuser', '在线用户', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-04-06 22:42:42'); INSERT INTO `zcurd_head` VALUES (31, 'cardlog', '刷卡记录', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-04-06 23:04:13'); INSERT INTO `zcurd_head` VALUES (32, 'devicelog', '网络日志', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-04-06 23:08:13'); INSERT INTO `zcurd_head` VALUES (33, 'chargestatus', '充电状态', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-04-06 23:11:54'); INSERT INTO `zcurd_head` VALUES (34, 'charge_money_info', '微信充值', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-04-06 23:15:35'); INSERT INTO `zcurd_head` VALUES (35, 'charge_battery_info', '消费记录', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-04-06 23:17:16'); INSERT INTO `zcurd_head` VALUES (36, 'money_match_activity', '优惠设置', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-04-06 23:23:03'); INSERT INTO `zcurd_head` VALUES (37, 'orders', '支付之日', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-04-06 23:25:54'); INSERT INTO `zcurd_head` VALUES (38, 'devicemsg', '功率日志', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-04-22 18:37:26'); INSERT INTO `zcurd_head` VALUES (39, 'droppedlog', '掉线日志', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-08-31 21:46:24'); INSERT INTO `zcurd_head` VALUES (40, 'deviceport', '端口状态', 'id', 1, 1, '600x400', 'zcurd_busi', '2017-08-31 21:48:57'); INSERT INTO `zcurd_head` VALUES (41, 'sys_user', '用户管理', 'id', 1, 1, '600x400', 'zcurd_base', '2017-11-03 10:45:44'); -- ---------------------------- -- Table structure for zcurd_head_btn -- ---------------------------- DROP TABLE IF EXISTS `zcurd_head_btn`; CREATE TABLE `zcurd_head_btn` ( `id` int(11) NOT NULL AUTO_INCREMENT COMMENT 'id', `head_id` int(11) DEFAULT NULL COMMENT '所属表单', `btn_name` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '按钮名称', `location` int(11) DEFAULT 1 COMMENT '按钮位置（1：顶部，2：行内）', `action` int(11) DEFAULT 1 COMMENT '行为（0：无，1：打开子页面）', `func_content` text CHARACTER SET utf8 COLLATE utf8_general_ci COMMENT '方法内容', `create_time` timestamp(0) NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = MyISAM AUTO_INCREMENT = 6 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '表单按钮' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of zcurd_head_btn -- ---------------------------- INSERT INTO `zcurd_head_btn` VALUES (1, 8, '权限设置', 2, 1, 'function(index) {\r\n var row = datagrid.datagrid(\"getRows\")[index];\r\n //var url = basePath + \"/zcurd/135/listPage?riskgradeid=\" + row.id;\r\n var url = basePath + \"/role/editAuthPage?roleId=\" + row.id;\r\n _openSubPage(url);\r\n}', '2016-02-12 21:23:10'); INSERT INTO `zcurd_head_btn` VALUES (2, 134, '管理', 2, 1, 'function(index) {\n var row = datagrid.datagrid(\"getRows\")[index];\n var url = basePath + \"/zcurd/135/listPage?riskgradeid=\" + row.id;\n _openSubPage(url);\n}', '2016-01-12 13:28:50'); INSERT INTO `zcurd_head_btn` VALUES (3, 133, '测试', 2, 0, 'function aaa(){}', '2016-01-13 09:30:35'); INSERT INTO `zcurd_head_btn` VALUES (5, 23, 'aaa', 2, 1, 'function(index) {\n var row = datagrid.datagrid(\"getRows\")[index];\n //var url = basePath + \"/zcurd/135/listPage?riskgradeid=\" + row.id;\n var url = basePath + \"/role/editAuthPage?roleId=\" + row.id;\n _openSubPage(url);\n}', '2017-01-25 20:28:47'); -- ---------------------------- -- Table structure for zcurd_head_js -- ---------------------------- DROP TABLE IF EXISTS `zcurd_head_js`; CREATE TABLE `zcurd_head_js` ( `id` int(11) NOT NULL AUTO_INCREMENT COMMENT 'id', `head_id` int(11) DEFAULT NULL COMMENT '所属表单', `page` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL COMMENT '页面', `js_content` text CHARACTER SET utf8 COLLATE utf8_general_ci COMMENT 'js内容', `create_time` timestamp(0) NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = MyISAM AUTO_INCREMENT = 12 CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '表单扩展js' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of zcurd_head_js -- ---------------------------- INSERT INTO `zcurd_head_js` VALUES (1, 134, 'list', 'var operateWidth = 80;\r\nvar subPageWidth = \"50%\";\r\nvar subPageTitle = \"等级详情\";\r\ndgOptions.singleSelect=true;', '2016-01-12 16:25:45'); INSERT INTO `zcurd_head_js` VALUES (2, 5, 'list', '$(\"#searchBtnWrap\").hide();\n$(\".wrap_search\").hide();\ndgOptions.pageSize=1000;\ndgOptions.pagination=false;\n\nwindow.parent.getDgSelections = function() {\n return datagrid.datagrid(\"getSelections\");\n}\n\ndgOptions.onLoadSuccess = selectAuthRow;\nfunction selectAuthRow() {\n var btnIds = window.parent.getCurrMenuBtns();\n var rows = datagrid.datagrid(\"getData\").rows;\n if(btnIds && rows.length > 0) {\n $.each(rows, function(i, item) {\n $.each(btnIds, function(j, btnId) {\n if(item.id == btnId) {\n datagrid.datagrid(\"selectRow\", j);\n }\n });\n });\n }\n\n //如果无数据，则显示一键生成\n if(rows.length == 0) {\n genAuthBtnBatch();\n }\n}\n\n//显示一键生成\nfunction genAuthBtnBatch() {\n $(\"<button id=\'genAuthBtnBatchBtn\' style=\'position: fixed; top: 120px; left: 50%; margin-left: -30px; padding: 2px;\'>一键生成<button>\")\n .linkbutton().click(function() {\n $.post(\"../../role/genAuthBtnBatch\", {menuId: $(\"#menu_id\").val()}, function() {\n $(\"#genAuthBtnBatchBtn\").remove();\n showMsg(\"生成成功！\");\n datagrid.datagrid(\"reload\");\n });\n }).appendTo(\"body\");\n}', '2016-02-15 11:13:14'); INSERT INTO `zcurd_head_js` VALUES (3, 8, 'list', 'var operateWidth = 80;\nvar subPageWidth = \"55%\";\nvar subPageTitle = \"权限设置\";\ndgOptions.singleSelect=true;', '2016-02-16 16:32:31'); INSERT INTO `zcurd_head_js` VALUES (4, 131, 'update', '$(function() {\n changeComboboxToMult(\"roles\");\n});', '2016-02-23 23:09:57'); INSERT INTO `zcurd_head_js` VALUES (5, 12, 'add', '$(function() {\n changeComboboxToMult(\"roles\");\n});', '2016-02-23 23:10:03'); INSERT INTO `zcurd_head_js` VALUES (6, 152, 'list', '$(\"#searchBtnWrap\").hide();\n$(\".wrap_search\").hide();\ndgOptions.pageSize=1000;\ndgOptions.pagination=false;\n\nwindow.parent.getDgSelections2 = function() {\n return datagrid.datagrid(\"getSelections\");\n}\n\ndgOptions.onLoadSuccess = selectAuthRow;\nfunction selectAuthRow() {\n var dataruleIds = window.parent.getCurrMenuDatarules();\n var rows = datagrid.datagrid(\"getData\").rows;\n if(dataruleIds && rows.length > 0) {\n $.each(rows, function(i, item) {\n $.each(dataruleIds, function(j, dataruleId) {\n if(item.id == dataruleId) {\n datagrid.datagrid(\"selectRow\", j);\n }\n });\n });\n }\n}', '2016-02-15 11:13:14'); INSERT INTO `zcurd_head_js` VALUES (7, 6, 'list', '$(\"#searchBtnWrap\").hide();\n$(\".wrap_search\").hide();\ndgOptions.pageSize=1000;\ndgOptions.pagination=false;\n\nwindow.parent.getDgSelections2 = function() {\n return datagrid.datagrid(\"getSelections\");\n}\n\ndgOptions.onLoadSuccess = selectAuthRow;\nfunction selectAuthRow() {\n var dataruleIds = window.parent.getCurrMenuDatarules();\n var rows = datagrid.datagrid(\"getData\").rows;\n if(dataruleIds && rows.length > 0) {\n $.each(rows, function(i, item) {\n $.each(dataruleIds, function(j, dataruleId) {\n if(item.id == dataruleId) {\n datagrid.datagrid(\"selectRow\", j);\n }\n });\n });\n }\n}', '2016-09-27 00:17:56'); INSERT INTO `zcurd_head_js` VALUES (8, 12, 'update', '$(function() {\n changeComboboxToMult(\"roles\");\n});', '2016-09-27 00:40:00'); INSERT INTO `zcurd_head_js` VALUES (9, 6, 'update', '//支持变量\n$(function() {\n $(\"#value\").textbox({iconCls:\'icon-bianliang\'});\n $(\".icon-bianliang\").tooltip({\n content: \"<span style=\'color:#fff\'>支持变量如：<br/>${user.id}</span>\", \n onShow: function(){\n $(this).tooltip(\'tip\').css({\n backgroundColor: \'#666\',\n borderColor: \'#666\'\n });\n }\n });\n});', '2016-11-01 19:28:10'); INSERT INTO `zcurd_head_js` VALUES (10, 19, 'add', '//支持变量\n$(function() {\n $(\"#value\").textbox({iconCls:\'icon-bianliang\'});\n $(\".icon-bianliang\").tooltip({\n content: \"<span style=\'color:#fff\'>支持变量如：<br/>${user.id}</span>\", \n onShow: function(){\n $(this).tooltip(\'tip\').css({\n backgroundColor: \'#666\',\n borderColor: \'#666\'\n });\n }\n });\n});', '2016-11-02 19:12:40'); INSERT INTO `zcurd_head_js` VALUES (11, 6, 'add', '//支持变量\n$(function() {\n $(\"#value\").textbox({iconCls:\'icon-bianliang\'});\n $(\".icon-bianliang\").tooltip({\n content: \"<span style=\'color:#fff\'>支持变量如：<br/>${user.id}</span>\", \n onShow: function(){\n $(this).tooltip(\'tip\').css({\n backgroundColor: \'#666\',\n borderColor: \'#666\'\n });\n }\n });\n});', '2016-11-02 19:13:46'); SET FOREIGN_KEY_CHECKS = 1;
CREATE TABLE "GIS_US_COUNTIES" ( "STATEFP" VARCHAR2(2), "COUNTYFP" VARCHAR2(3), "COUNTYNS" VARCHAR2(8), "GEOID" VARCHAR2(5), "NAME" VARCHAR2(100), "NAMELSAD" VARCHAR2(100), "LSAD" VARCHAR2(2), "CLASSFP" VARCHAR2(2), "MTFCC" VARCHAR2(5), "CSAFP" VARCHAR2(3), "CBSAFP" VARCHAR2(5), "METDIVFP" VARCHAR2(5), "FUNCSTAT" VARCHAR2(1), "ALAND" NUMBER(38,0), "AWATER" NUMBER(38,0), "INTPTLAT" VARCHAR2(11), "INTPTLON" VARCHAR2(12), "SHAPE" "MDSYS"."SDO_GEOMETRY" )
<reponame>dongdong1018645785/touch-air-mall<gh_stars>1-10 /* Navicat MySQL Data Transfer Source Server : 192.168.83.133 Source Server Type : MySQL Source Server Version : 50731 Source Host : 192.168.83.133:3306 Source Schema : touch_air_mall_admin Target Server Type : MySQL Target Server Version : 50731 File Encoding : 65001 Date: 02/01/2021 13:59:41 / SET NAMES utf8mb4; SET FOREIGN_KEY_CHECKS = 0; -- ---------------------------- -- Table structure for QRTZ_BLOB_TRIGGERS -- ---------------------------- DROP TABLE IF EXISTS `QRTZ_BLOB_TRIGGERS`; CREATE TABLE `QRTZ_BLOB_TRIGGERS` ( `SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `TRIGGER_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `TRIGGER_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `BLOB_DATA` blob NULL, PRIMARY KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) USING BTREE, INDEX `SCHED_NAME`(`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) USING BTREE, CONSTRAINT `QRTZ_BLOB_TRIGGERS_ibfk_1` FOREIGN KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) REFERENCES `QRTZ_TRIGGERS` (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) ON DELETE RESTRICT ON UPDATE RESTRICT ) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for QRTZ_CALENDARS -- ---------------------------- DROP TABLE IF EXISTS `QRTZ_CALENDARS`; CREATE TABLE `QRTZ_CALENDARS` ( `SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `CALENDAR_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `CALENDAR` blob NOT NULL, PRIMARY KEY (`SCHED_NAME`, `CALENDAR_NAME`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for QRTZ_CRON_TRIGGERS -- ---------------------------- DROP TABLE IF EXISTS `QRTZ_CRON_TRIGGERS`; CREATE TABLE `QRTZ_CRON_TRIGGERS` ( `SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `TRIGGER_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `TRIGGER_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `CRON_EXPRESSION` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `TIME_ZONE_ID` varchar(80) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, PRIMARY KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) USING BTREE, CONSTRAINT `QRTZ_CRON_TRIGGERS_ibfk_1` FOREIGN KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) REFERENCES `QRTZ_TRIGGERS` (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) ON DELETE RESTRICT ON UPDATE RESTRICT ) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of QRTZ_CRON_TRIGGERS -- ---------------------------- INSERT INTO `QRTZ_CRON_TRIGGERS` VALUES ('RenrenScheduler', 'TASK_1', 'DEFAULT', '0 0/30 * * ?', 'Asia/Shanghai'); -- ---------------------------- -- Table structure for QRTZ_FIRED_TRIGGERS -- ---------------------------- DROP TABLE IF EXISTS `QRTZ_FIRED_TRIGGERS`; CREATE TABLE `QRTZ_FIRED_TRIGGERS` ( `SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `ENTRY_ID` varchar(95) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `TRIGGER_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `TRIGGER_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `INSTANCE_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `FIRED_TIME` bigint(13) NOT NULL, `SCHED_TIME` bigint(13) NOT NULL, `PRIORITY` int(11) NOT NULL, `STATE` varchar(16) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `JOB_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `JOB_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `IS_NONCONCURRENT` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `REQUESTS_RECOVERY` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, PRIMARY KEY (`SCHED_NAME`, `ENTRY_ID`) USING BTREE, INDEX `IDX_QRTZ_FT_TRIG_INST_NAME`(`SCHED_NAME`, `INSTANCE_NAME`) USING BTREE, INDEX `IDX_QRTZ_FT_INST_JOB_REQ_RCVRY`(`SCHED_NAME`, `INSTANCE_NAME`, `REQUESTS_RECOVERY`) USING BTREE, INDEX `IDX_QRTZ_FT_J_G`(`SCHED_NAME`, `JOB_NAME`, `JOB_GROUP`) USING BTREE, INDEX `IDX_QRTZ_FT_JG`(`SCHED_NAME`, `JOB_GROUP`) USING BTREE, INDEX `IDX_QRTZ_FT_T_G`(`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) USING BTREE, INDEX `IDX_QRTZ_FT_TG`(`SCHED_NAME`, `TRIGGER_GROUP`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for QRTZ_JOB_DETAILS -- ---------------------------- DROP TABLE IF EXISTS `QRTZ_JOB_DETAILS`; CREATE TABLE `QRTZ_JOB_DETAILS` ( `SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `JOB_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `JOB_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `DESCRIPTION` varchar(250) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `JOB_CLASS_NAME` varchar(250) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `IS_DURABLE` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `IS_NONCONCURRENT` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `IS_UPDATE_DATA` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `REQUESTS_RECOVERY` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `JOB_DATA` blob NULL, PRIMARY KEY (`SCHED_NAME`, `JOB_NAME`, `JOB_GROUP`) USING BTREE, INDEX `IDX_QRTZ_J_REQ_RECOVERY`(`SCHED_NAME`, `REQUESTS_RECOVERY`) USING BTREE, INDEX `IDX_QRTZ_J_GRP`(`SCHED_NAME`, `JOB_GROUP`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of QRTZ_JOB_DETAILS -- ---------------------------- INSERT INTO `QRTZ_JOB_DETAILS` VALUES ('RenrenScheduler', 'TASK_1', 'DEFAULT', NULL, 'io.renren.modules.job.utils.ScheduleJob', '0', '0', '0', '0', 0xACED0005737200156F72672E71756172747A2E4A6F62446174614D61709FB083E8BFA9B0CB020000787200266F72672E71756172747A2E7574696C732E537472696E674B65794469727479466C61674D61708208E8C3FBC55D280200015A0013616C6C6F77735472616E7369656E74446174617872001D6F72672E71756172747A2E7574696C732E4469727479466C61674D617013E62EAD28760ACE0200025A000564697274794C00036D617074000F4C6A6176612F7574696C2F4D61703B787001737200116A6176612E7574696C2E486173684D61700507DAC1C31660D103000246000A6C6F6164466163746F724900097468726573686F6C6478703F4000000000000C7708000000100000000174000D4A4F425F504152414D5F4B45597372002E696F2E72656E72656E2E6D6F64756C65732E6A6F622E656E746974792E5363686564756C654A6F62456E7469747900000000000000010200074C00086265616E4E616D657400124C6A6176612F6C616E672F537472696E673B4C000A63726561746554696D657400104C6A6176612F7574696C2F446174653B4C000E63726F6E45787072657373696F6E71007E00094C00056A6F6249647400104C6A6176612F6C616E672F4C6F6E673B4C0006706172616D7371007E00094C000672656D61726B71007E00094C00067374617475737400134C6A6176612F6C616E672F496E74656765723B7870740008746573745461736B7372000E6A6176612E7574696C2E44617465686A81014B597419030000787077080000017629B5D8807874000E3020302F3330202A202A202A203F7372000E6A6176612E6C616E672E4C6F6E673B8BE490CC8F23DF0200014A000576616C7565787200106A6176612E6C616E672E4E756D62657286AC951D0B94E08B0200007870000000000000000174000672656E72656E74000CE58F82E695B0E6B58BE8AF95737200116A6176612E6C616E672E496E746567657212E2A0A4F781873802000149000576616C75657871007E0013000000007800); -- ---------------------------- -- Table structure for QRTZ_LOCKS -- ---------------------------- DROP TABLE IF EXISTS `QRTZ_LOCKS`; CREATE TABLE `QRTZ_LOCKS` ( `SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `LOCK_NAME` varchar(40) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, PRIMARY KEY (`SCHED_NAME`, `LOCK_NAME`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of QRTZ_LOCKS -- ---------------------------- INSERT INTO `QRTZ_LOCKS` VALUES ('RenrenScheduler', 'STATE_ACCESS'); INSERT INTO `QRTZ_LOCKS` VALUES ('RenrenScheduler', 'TRIGGER_ACCESS'); -- ---------------------------- -- Table structure for QRTZ_PAUSED_TRIGGER_GRPS -- ---------------------------- DROP TABLE IF EXISTS `QRTZ_PAUSED_TRIGGER_GRPS`; CREATE TABLE `QRTZ_PAUSED_TRIGGER_GRPS` ( `SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `TRIGGER_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, PRIMARY KEY (`SCHED_NAME`, `TRIGGER_GROUP`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for QRTZ_SCHEDULER_STATE -- ---------------------------- DROP TABLE IF EXISTS `QRTZ_SCHEDULER_STATE`; CREATE TABLE `QRTZ_SCHEDULER_STATE` ( `SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `INSTANCE_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `LAST_CHECKIN_TIME` bigint(13) NOT NULL, `CHECKIN_INTERVAL` bigint(13) NOT NULL, PRIMARY KEY (`SCHED_NAME`, `INSTANCE_NAME`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of QRTZ_SCHEDULER_STATE -- ---------------------------- INSERT INTO `QRTZ_SCHEDULER_STATE` VALUES ('RenrenScheduler', 'DESKTOP-QUG9GDQ1609485648866', 1609567173005, 15000); -- ---------------------------- -- Table structure for QRTZ_SIMPLE_TRIGGERS -- ---------------------------- DROP TABLE IF EXISTS `QRTZ_SIMPLE_TRIGGERS`; CREATE TABLE `QRTZ_SIMPLE_TRIGGERS` ( `SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `TRIGGER_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `TRIGGER_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `REPEAT_COUNT` bigint(7) NOT NULL, `REPEAT_INTERVAL` bigint(12) NOT NULL, `TIMES_TRIGGERED` bigint(10) NOT NULL, PRIMARY KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) USING BTREE, CONSTRAINT `QRTZ_SIMPLE_TRIGGERS_ibfk_1` FOREIGN KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) REFERENCES `QRTZ_TRIGGERS` (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) ON DELETE RESTRICT ON UPDATE RESTRICT ) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for QRTZ_SIMPROP_TRIGGERS -- ---------------------------- DROP TABLE IF EXISTS `QRTZ_SIMPROP_TRIGGERS`; CREATE TABLE `QRTZ_SIMPROP_TRIGGERS` ( `SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `TRIGGER_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `TRIGGER_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `STR_PROP_1` varchar(512) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `STR_PROP_2` varchar(512) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `STR_PROP_3` varchar(512) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `INT_PROP_1` int(11) NULL DEFAULT NULL, `INT_PROP_2` int(11) NULL DEFAULT NULL, `LONG_PROP_1` bigint(20) NULL DEFAULT NULL, `LONG_PROP_2` bigint(20) NULL DEFAULT NULL, `DEC_PROP_1` decimal(13, 4) NULL DEFAULT NULL, `DEC_PROP_2` decimal(13, 4) NULL DEFAULT NULL, `BOOL_PROP_1` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `BOOL_PROP_2` varchar(1) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, PRIMARY KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) USING BTREE, CONSTRAINT `QRTZ_SIMPROP_TRIGGERS_ibfk_1` FOREIGN KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) REFERENCES `QRTZ_TRIGGERS` (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) ON DELETE RESTRICT ON UPDATE RESTRICT ) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for QRTZ_TRIGGERS -- ---------------------------- DROP TABLE IF EXISTS `QRTZ_TRIGGERS`; CREATE TABLE `QRTZ_TRIGGERS` ( `SCHED_NAME` varchar(120) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `TRIGGER_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `TRIGGER_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `JOB_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `JOB_GROUP` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `DESCRIPTION` varchar(250) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `NEXT_FIRE_TIME` bigint(13) NULL DEFAULT NULL, `PREV_FIRE_TIME` bigint(13) NULL DEFAULT NULL, `PRIORITY` int(11) NULL DEFAULT NULL, `TRIGGER_STATE` varchar(16) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `TRIGGER_TYPE` varchar(8) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `START_TIME` bigint(13) NOT NULL, `END_TIME` bigint(13) NULL DEFAULT NULL, `CALENDAR_NAME` varchar(200) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `MISFIRE_INSTR` smallint(2) NULL DEFAULT NULL, `JOB_DATA` blob NULL, PRIMARY KEY (`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`) USING BTREE, INDEX `IDX_QRTZ_T_J`(`SCHED_NAME`, `JOB_NAME`, `JOB_GROUP`) USING BTREE, INDEX `IDX_QRTZ_T_JG`(`SCHED_NAME`, `JOB_GROUP`) USING BTREE, INDEX `IDX_QRTZ_T_C`(`SCHED_NAME`, `CALENDAR_NAME`) USING BTREE, INDEX `IDX_QRTZ_T_G`(`SCHED_NAME`, `TRIGGER_GROUP`) USING BTREE, INDEX `IDX_QRTZ_T_STATE`(`SCHED_NAME`, `TRIGGER_STATE`) USING BTREE, INDEX `IDX_QRTZ_T_N_STATE`(`SCHED_NAME`, `TRIGGER_NAME`, `TRIGGER_GROUP`, `TRIGGER_STATE`) USING BTREE, INDEX `IDX_QRTZ_T_N_G_STATE`(`SCHED_NAME`, `TRIGGER_GROUP`, `TRIGGER_STATE`) USING BTREE, INDEX `IDX_QRTZ_T_NEXT_FIRE_TIME`(`SCHED_NAME`, `NEXT_FIRE_TIME`) USING BTREE, INDEX `IDX_QRTZ_T_NFT_ST`(`SCHED_NAME`, `TRIGGER_STATE`, `NEXT_FIRE_TIME`) USING BTREE, INDEX `IDX_QRTZ_T_NFT_MISFIRE`(`SCHED_NAME`, `MISFIRE_INSTR`, `NEXT_FIRE_TIME`) USING BTREE, INDEX `IDX_QRTZ_T_NFT_ST_MISFIRE`(`SCHED_NAME`, `MISFIRE_INSTR`, `NEXT_FIRE_TIME`, `TRIGGER_STATE`) USING BTREE, INDEX `IDX_QRTZ_T_NFT_ST_MISFIRE_GRP`(`SCHED_NAME`, `MISFIRE_INSTR`, `NEXT_FIRE_TIME`, `TRIGGER_GROUP`, `TRIGGER_STATE`) USING BTREE, CONSTRAINT `QRTZ_TRIGGERS_ibfk_1` FOREIGN KEY (`SCHED_NAME`, `JOB_NAME`, `JOB_GROUP`) REFERENCES `QRTZ_JOB_DETAILS` (`SCHED_NAME`, `JOB_NAME`, `JOB_GROUP`) ON DELETE RESTRICT ON UPDATE RESTRICT ) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of QRTZ_TRIGGERS -- ---------------------------- INSERT INTO `QRTZ_TRIGGERS` VALUES ('RenrenScheduler', 'TASK_1', 'DEFAULT', 'TASK_1', 'DEFAULT', NULL, 1609567200000, 1609565400000, 5, 'WAITING', 'CRON', 1607046571000, 0, NULL, 2, 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able structure for schedule_job -- ---------------------------- DROP TABLE IF EXISTS `schedule_job`; CREATE TABLE `schedule_job` ( `job_id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '任务id', `bean_name` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'spring bean名称', `params` varchar(2000) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '参数', `cron_expression` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'cron表达式', `status` tinyint(4) NULL DEFAULT NULL COMMENT '任务状态 0：正常 1：暂停', `remark` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '备注', `create_time` datetime(0) NULL DEFAULT NULL COMMENT '创建时间', PRIMARY KEY (`job_id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 2 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci COMMENT = '定时任务' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of schedule_job -- ---------------------------- INSERT INTO `schedule_job` VALUES (1, 'testTask', 'renren', '0 0/30 * * * ?', 0, '参数测试', '2020-12-04 01:45:52'); -- ---------------------------- -- Table structure for schedule_job_log -- ---------------------------- DROP TABLE IF EXISTS `schedule_job_log`; CREATE TABLE `schedule_job_log` ( `log_id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT '任务日志id', `job_id` bigint(20) NOT NULL COMMENT '任务id', `bean_name` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'spring bean名称', `params` varchar(2000) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '参数', `status` tinyint(4) NOT NULL COMMENT '任务状态 0：成功 1：失败', `error` varchar(2000) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '失败信息', `times` int(11) NOT NULL COMMENT '耗时(单位：毫秒)', `create_time` datetime(0) NULL DEFAULT NULL COMMENT '创建时间', PRIMARY KEY (`log_id`) USING BTREE, INDEX `job_id`(`job_id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 424 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci COMMENT = '定时任务日志' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of schedule_job_log -- ---------------------------- INSERT INTO `schedule_job_log` VALUES (1, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-04 10:00:00'); INSERT INTO `schedule_job_log` VALUES (2, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-04 10:30:00'); INSERT INTO `schedule_job_log` VALUES (3, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-04 11:00:00'); INSERT INTO `schedule_job_log` VALUES (4, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-09 16:30:00'); INSERT INTO `schedule_job_log` VALUES (5, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-09 17:00:00'); INSERT INTO `schedule_job_log` VALUES (6, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-09 17:30:00'); INSERT INTO `schedule_job_log` VALUES (7, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 09:00:00'); INSERT INTO `schedule_job_log` VALUES (8, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 09:30:00'); INSERT INTO `schedule_job_log` VALUES (9, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 10:00:00'); INSERT INTO `schedule_job_log` VALUES (10, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-10 10:30:00'); INSERT INTO `schedule_job_log` VALUES (11, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 11:00:00'); INSERT INTO `schedule_job_log` VALUES (12, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-10 11:30:00'); INSERT INTO `schedule_job_log` VALUES (13, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-10 12:00:00'); INSERT INTO `schedule_job_log` VALUES (14, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 12:30:00'); INSERT INTO `schedule_job_log` VALUES (15, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 13:00:00'); INSERT INTO `schedule_job_log` VALUES (16, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-10 13:30:00'); INSERT INTO `schedule_job_log` VALUES (17, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 14:00:00'); INSERT INTO `schedule_job_log` VALUES (18, 1, 'testTask', 'renren', 0, NULL, 2, '2020-12-10 14:30:00'); INSERT INTO `schedule_job_log` VALUES (19, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 15:00:00'); INSERT INTO `schedule_job_log` VALUES (20, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-10 15:30:00'); INSERT INTO `schedule_job_log` VALUES (21, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 16:00:00'); INSERT INTO `schedule_job_log` VALUES (22, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 16:30:00'); INSERT INTO `schedule_job_log` VALUES (23, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-10 17:00:00'); INSERT INTO `schedule_job_log` VALUES (24, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 17:30:00'); INSERT INTO `schedule_job_log` VALUES (25, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-10 18:00:00'); INSERT INTO `schedule_job_log` VALUES (26, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 18:30:00'); INSERT INTO `schedule_job_log` VALUES (27, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 19:00:00'); INSERT INTO `schedule_job_log` VALUES (28, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-10 19:30:00'); INSERT INTO `schedule_job_log` VALUES (29, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-10 20:00:00'); INSERT INTO `schedule_job_log` VALUES (30, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 20:30:00'); INSERT INTO `schedule_job_log` VALUES (31, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 21:00:00'); INSERT INTO `schedule_job_log` VALUES (32, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-10 21:30:00'); INSERT INTO `schedule_job_log` VALUES (33, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 22:00:00'); INSERT INTO `schedule_job_log` VALUES (34, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-10 22:30:00'); INSERT INTO `schedule_job_log` VALUES (35, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-10 23:00:00'); INSERT INTO `schedule_job_log` VALUES (36, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-10 23:30:00'); INSERT INTO `schedule_job_log` VALUES (37, 1, 'testTask', 'renren', 0, NULL, 7, '2020-12-11 00:00:00'); INSERT INTO `schedule_job_log` VALUES (38, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-11 00:30:00'); INSERT INTO `schedule_job_log` VALUES (39, 1, 'testTask', 'renren', 0, NULL, 0, '2020-12-11 01:00:00'); INSERT INTO `schedule_job_log` VALUES (40, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-11 01:30:00'); INSERT INTO `schedule_job_log` VALUES (41, 1, 'testTask', 'renren', 0, NULL, 1, '2020-12-11 02:00:00'); 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INSERT INTO `schedule_job_log` VALUES (382, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-01 17:00:00'); INSERT INTO `schedule_job_log` VALUES (383, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-01 17:30:00'); INSERT INTO `schedule_job_log` VALUES (384, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-01 18:00:00'); INSERT INTO `schedule_job_log` VALUES (385, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-01 18:30:00'); INSERT INTO `schedule_job_log` VALUES (386, 1, 'testTask', 'renren', 0, NULL, 2, '2021-01-01 19:00:00'); INSERT INTO `schedule_job_log` VALUES (387, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-01 19:30:00'); INSERT INTO `schedule_job_log` VALUES (388, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-01 20:00:00'); INSERT INTO `schedule_job_log` VALUES (389, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-01 20:30:00'); INSERT INTO `schedule_job_log` VALUES (390, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-01 21:00:00'); INSERT INTO `schedule_job_log` VALUES (391, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-01 21:30:00'); INSERT INTO `schedule_job_log` VALUES (392, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-01 22:00:00'); INSERT INTO `schedule_job_log` VALUES (393, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-01 22:30:00'); INSERT INTO `schedule_job_log` VALUES (394, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-01 23:00:00'); INSERT INTO `schedule_job_log` VALUES (395, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-01 23:30:00'); INSERT INTO `schedule_job_log` VALUES (396, 1, 'testTask', 'renren', 0, NULL, 4, '2021-01-02 00:00:00'); INSERT INTO `schedule_job_log` VALUES (397, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-02 00:30:00'); INSERT INTO `schedule_job_log` VALUES (398, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-02 01:00:00'); INSERT INTO `schedule_job_log` VALUES (399, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-02 01:30:00'); INSERT INTO `schedule_job_log` VALUES (400, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-02 02:00:00'); INSERT INTO `schedule_job_log` VALUES (401, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-02 02:30:00'); INSERT INTO `schedule_job_log` VALUES (402, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-02 03:00:00'); INSERT INTO `schedule_job_log` VALUES (403, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-02 03:30:00'); INSERT INTO `schedule_job_log` VALUES (404, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-02 04:00:00'); INSERT INTO `schedule_job_log` VALUES (405, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-02 04:30:00'); INSERT INTO `schedule_job_log` VALUES (406, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-02 05:00:00'); INSERT INTO `schedule_job_log` VALUES (407, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-02 05:30:00'); INSERT INTO `schedule_job_log` VALUES (408, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-02 06:00:00'); INSERT INTO `schedule_job_log` VALUES (409, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-02 06:30:00'); INSERT INTO `schedule_job_log` VALUES (410, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-02 07:00:00'); INSERT INTO `schedule_job_log` VALUES (411, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-02 07:30:00'); INSERT INTO `schedule_job_log` VALUES (412, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-02 08:00:00'); INSERT INTO `schedule_job_log` VALUES (413, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-02 08:30:00'); INSERT INTO `schedule_job_log` VALUES (414, 1, 'testTask', 'renren', 0, NULL, 2, '2021-01-02 09:00:00'); INSERT INTO `schedule_job_log` VALUES (415, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-02 09:30:00'); INSERT INTO `schedule_job_log` VALUES (416, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-02 10:00:00'); INSERT INTO `schedule_job_log` VALUES (417, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-02 10:30:00'); INSERT INTO `schedule_job_log` VALUES (418, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-02 11:00:00'); INSERT INTO `schedule_job_log` VALUES (419, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-02 11:30:00'); INSERT INTO `schedule_job_log` VALUES (420, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-02 12:00:00'); INSERT INTO `schedule_job_log` VALUES (421, 1, 'testTask', 'renren', 0, NULL, 0, '2021-01-02 12:30:00'); INSERT INTO `schedule_job_log` VALUES (422, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-02 13:00:00'); INSERT INTO `schedule_job_log` VALUES (423, 1, 'testTask', 'renren', 0, NULL, 1, '2021-01-02 13:30:00'); -- ---------------------------- -- Table structure for sys_captcha -- ---------------------------- DROP TABLE IF EXISTS `sys_captcha`; CREATE TABLE `sys_captcha` ( `uuid` char(36) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT 'uuid', `code` varchar(6) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '验证码', `expire_time` datetime(0) NULL DEFAULT NULL COMMENT '过期时间', PRIMARY KEY (`uuid`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci COMMENT = '系统验证码' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of sys_captcha -- ---------------------------- INSERT INTO `sys_captcha` VALUES ('07f378b3-6419-4597-8803-781a69b0f864', '7gf32', '2020-12-09 17:27:13'); INSERT INTO `sys_captcha` VALUES ('11abf465-4e08-412c-8926-bcd823c2a023', 'y2e4e', '2020-12-09 17:10:56'); INSERT INTO `sys_captcha` VALUES ('1bc48763-b5d4-4411-8c56-aa39c36e29aa', 'fec5c', '2020-12-09 17:27:13'); INSERT INTO `sys_captcha` VALUES ('2ac7d2ce-ce9c-4785-8581-86296772f6aa', 'fapa5', '2020-12-09 17:27:52'); INSERT INTO `sys_captcha` VALUES ('4fa7092f-1d06-484e-8364-cad6868ad04a', 'cagyf', '2020-12-11 09:28:48'); INSERT INTO `sys_captcha` VALUES ('52a95d70-6fdb-4889-8d41-1e4cc9f4779a', 'd4mwy', '2020-12-09 17:10:05'); INSERT INTO `sys_captcha` VALUES ('7af2834b-bb17-462d-8c69-81a05d3db0b8', '663p5', '2020-12-16 10:03:53'); INSERT INTO `sys_captcha` VALUES ('7bc4ea2f-883f-4953-8e1b-e674581b1bf6', 'f67pn', '2020-12-14 13:47:51'); INSERT INTO `sys_captcha` VALUES ('906fd5d8-66cd-4b85-871c-f669ca1c757b', 'wb8d8', '2020-12-09 17:10:49'); INSERT INTO `sys_captcha` VALUES ('a40d3542-9b94-4e4b-834e-191d43b74cfe', 'aeaxn', '2020-12-09 16:24:58'); INSERT INTO `sys_captcha` VALUES ('bb58e12c-4fbf-46d2-89e9-2c709a32a747', '763yy', '2020-12-23 13:41:06'); INSERT INTO `sys_captcha` VALUES ('d507e1c6-2297-4e76-888f-9e4dac006942', '376y2', '2020-12-25 14:58:31'); INSERT INTO `sys_captcha` VALUES ('f50b855d-df62-4465-8d63-2eb4d6a6e58b', 'exxcd', '2020-12-09 17:27:14'); -- ---------------------------- -- Table structure for sys_config -- ---------------------------- DROP TABLE IF EXISTS `sys_config`; CREATE TABLE `sys_config` ( `id` bigint(20) NOT NULL AUTO_INCREMENT, `param_key` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'key', `param_value` varchar(2000) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'value', `status` tinyint(4) NULL DEFAULT 1 COMMENT '状态 0：隐藏 1：显示', `remark` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '备注', PRIMARY KEY (`id`) USING BTREE, UNIQUE INDEX `param_key`(`param_key`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 2 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci COMMENT = '系统配置信息表' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of sys_config -- ---------------------------- INSERT INTO `sys_config` VALUES (1, 'CLOUD_STORAGE_CONFIG_KEY', '{\"aliyunAccessKeyId\":\"\",\"aliyunAccessKeySecret\":\"\",\"aliyunBucketName\":\"\",\"aliyunDomain\":\"\",\"aliyunEndPoint\":\"\",\"aliyunPrefix\":\"\",\"qcloudBucketName\":\"\",\"qcloudDomain\":\"\",\"qcloudPrefix\":\"\",\"qcloudSecretId\":\"\",\"qcloudSecretKey\":\"\",\"qiniuAccessKey\":\"<KEY>\",\"qiniuBucketName\":\"ios-app\",\"qiniuDomain\":\"http://7xqbwh.dl1.z0.glb.clouddn.com\",\"qiniuPrefix\":\"upload\",\"qiniuSecretKey\":\"uIwJHevMRWU0VLxFvgy0tAcOdGqasdtVlJkdy6vV\",\"type\":1}', 0, '云存储配置信息'); -- ---------------------------- -- Table structure for sys_log -- ---------------------------- DROP TABLE IF EXISTS `sys_log`; CREATE TABLE `sys_log` ( `id` bigint(20) NOT NULL AUTO_INCREMENT, `username` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '用户名', `operation` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '用户操作', `method` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '请求方法', `params` varchar(5000) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '请求参数', `time` bigint(20) NOT NULL COMMENT '执行时长(毫秒)', `ip` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'IP地址', `create_date` datetime(0) NULL DEFAULT NULL COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 5 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci COMMENT = '系统日志' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of sys_log -- ---------------------------- INSERT INTO `sys_log` VALUES (1, 'admin', '保存菜单', 'io.renren.modules.sys.controller.SysMenuController.save()', '[{\"menuId\":31,\"parentId\":0,\"name\":\"商品管理\",\"url\":\"\",\"perms\":\"\",\"type\":0,\"icon\":\"log\",\"orderNum\":0}]', 5, '0:0:0:0:0:0:0:1', '2020-12-09 16:24:04'); INSERT INTO `sys_log` VALUES (2, 'admin', '保存菜单', 'io.renren.modules.sys.controller.SysMenuController.save()', '[{\"menuId\":32,\"parentId\":31,\"name\":\"分类维护\",\"url\":\"product/category\",\"perms\":\"\",\"type\":1,\"icon\":\"menu\",\"orderNum\":0}]', 6, '0:0:0:0:0:0:0:1', '2020-12-09 16:25:24'); INSERT INTO `sys_log` VALUES (3, 'admin', '保存菜单', 'io.renren.modules.sys.controller.SysMenuController.save()', '[{\"menuId\":33,\"parentId\":31,\"name\":\"品牌管理\",\"url\":\"product/brand\",\"perms\":\"\",\"type\":1,\"icon\":\"menu\",\"orderNum\":0}]', 8, '0:0:0:0:0:0:0:1', '2020-12-14 13:44:39'); INSERT INTO `sys_log` VALUES (4, 'admin', '保存用户', 'io.renren.modules.sys.controller.SysUserController.save()', '[{\"userId\":2,\"username\":\"touchair\",\"password\":\"<PASSWORD>\",\"salt\":\"<PASSWORD>\",\"email\":\"<EMAIL>\",\"mobile\":\"19953258747\",\"status\":1,\"roleIdList\":[],\"createUserId\":1,\"createTime\":\"Jan 2, 2021 10:15:23 AM\"}]', 86, '0:0:0:0:0:0:0:1', '2021-01-02 10:15:24'); -- ---------------------------- -- Table structure for sys_menu -- ---------------------------- DROP TABLE IF EXISTS `sys_menu`; CREATE TABLE `sys_menu` ( `menu_id` bigint(20) NOT NULL AUTO_INCREMENT, `parent_id` bigint(20) NULL DEFAULT NULL COMMENT '父菜单ID，一级菜单为0', `name` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '菜单名称', `url` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '菜单URL', `perms` varchar(500) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '授权(多个用逗号分隔，如：user:list,user:create)', `type` int(11) NULL DEFAULT NULL COMMENT '类型 0：目录 1：菜单 2：按钮', `icon` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '菜单图标', `order_num` int(11) NULL DEFAULT NULL COMMENT '排序', PRIMARY KEY (`menu_id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 76 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci COMMENT = '菜单管理' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of sys_menu -- ---------------------------- INSERT INTO `sys_menu` VALUES (1, 0, '系统管理', NULL, NULL, 0, 'system', 0); INSERT INTO `sys_menu` VALUES (2, 1, '管理员列表', 'sys/user', NULL, 1, 'admin', 1); INSERT INTO `sys_menu` VALUES (3, 1, '角色管理', 'sys/role', NULL, 1, 'role', 2); INSERT INTO `sys_menu` VALUES (4, 1, '菜单管理', 'sys/menu', NULL, 1, 'menu', 3); INSERT INTO `sys_menu` VALUES (5, 1, 'SQL监控', 'http://localhost:8080/renren-fast/druid/sql.html', NULL, 1, 'sql', 4); INSERT INTO `sys_menu` VALUES (6, 1, '定时任务', 'job/schedule', NULL, 1, 'job', 5); INSERT INTO `sys_menu` VALUES (7, 6, '查看', NULL, 'sys:schedule:list,sys:schedule:info', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (8, 6, '新增', NULL, 'sys:schedule:save', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (9, 6, '修改', NULL, 'sys:schedule:update', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (10, 6, '删除', NULL, 'sys:schedule:delete', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (11, 6, '暂停', NULL, 'sys:schedule:pause', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (12, 6, '恢复', NULL, 'sys:schedule:resume', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (13, 6, '立即执行', NULL, 'sys:schedule:run', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (14, 6, '日志列表', NULL, 'sys:schedule:log', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (15, 2, '查看', NULL, 'sys:user:list,sys:user:info', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (16, 2, '新增', NULL, 'sys:user:save,sys:role:select', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (17, 2, '修改', NULL, 'sys:user:update,sys:role:select', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (18, 2, '删除', NULL, 'sys:user:delete', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (19, 3, '查看', NULL, 'sys:role:list,sys:role:info', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (20, 3, '新增', NULL, 'sys:role:save,sys:menu:list', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (21, 3, '修改', NULL, 'sys:role:update,sys:menu:list', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (22, 3, '删除', NULL, 'sys:role:delete', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (23, 4, '查看', NULL, 'sys:menu:list,sys:menu:info', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (24, 4, '新增', NULL, 'sys:menu:save,sys:menu:select', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (25, 4, '修改', NULL, 'sys:menu:update,sys:menu:select', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (26, 4, '删除', NULL, 'sys:menu:delete', 2, NULL, 0); INSERT INTO `sys_menu` VALUES (27, 1, '参数管理', 'sys/config', 'sys:config:list,sys:config:info,sys:config:save,sys:config:update,sys:config:delete', 1, 'config', 6); INSERT INTO `sys_menu` VALUES (29, 1, '系统日志', 'sys/log', 'sys:log:list', 1, 'log', 7); INSERT INTO `sys_menu` VALUES (30, 1, '文件上传', 'oss/oss', 'sys:oss:all', 1, 'oss', 6); INSERT INTO `sys_menu` VALUES (31, 0, '商品系统', '', '', 0, 'editor', 0); INSERT INTO `sys_menu` VALUES (32, 31, '分类维护', 'product/category', '', 1, 'menu', 0); INSERT INTO `sys_menu` VALUES (34, 31, '品牌管理', 'product/brand', '', 1, 'editor', 0); INSERT INTO `sys_menu` VALUES (37, 31, '平台属性', '', '', 0, 'system', 0); INSERT INTO `sys_menu` VALUES (38, 37, '属性分组', 'product/attrgroup', '', 1, 'tubiao', 0); INSERT INTO `sys_menu` VALUES (39, 37, '规格参数', 'product/baseattr', '', 1, 'log', 0); INSERT INTO `sys_menu` VALUES (40, 37, '销售属性', 'product/saleattr', '', 1, 'zonghe', 0); INSERT INTO `sys_menu` VALUES (41, 31, '商品维护', 'product/spu', '', 0, 'zonghe', 0); INSERT INTO `sys_menu` VALUES (42, 0, '优惠营销', '', '', 0, 'mudedi', 0); INSERT INTO `sys_menu` VALUES (43, 0, '库存系统', '', '', 0, 'shouye', 0); INSERT INTO `sys_menu` VALUES (44, 0, '订单系统', '', '', 0, 'config', 0); INSERT INTO `sys_menu` VALUES (45, 0, '用户系统', '', '', 0, 'admin', 0); INSERT INTO `sys_menu` VALUES (46, 0, '内容管理', '', '', 0, 'sousuo', 0); INSERT INTO `sys_menu` VALUES (47, 42, '优惠券管理', 'coupon/coupon', '', 1, 'zhedie', 0); INSERT INTO `sys_menu` VALUES (48, 42, '发放记录', 'coupon/history', '', 1, 'sql', 0); INSERT INTO `sys_menu` VALUES (49, 42, '专题活动', 'coupon/subject', '', 1, 'tixing', 0); INSERT INTO `sys_menu` VALUES (50, 42, '秒杀活动', 'coupon/seckill', '', 1, 'daohang', 0); INSERT INTO `sys_menu` VALUES (51, 42, '积分维护', 'coupon/bounds', '', 1, 'geren', 0); INSERT INTO `sys_menu` VALUES (52, 42, '满减折扣', 'coupon/full', '', 1, 'shoucang', 0); INSERT INTO `sys_menu` VALUES (53, 43, '仓库维护', 'ware/wareinfo', '', 1, 'shouye', 0); INSERT INTO `sys_menu` VALUES (54, 43, '库存工作单', 'ware/task', '', 1, 'log', 0); INSERT INTO `sys_menu` VALUES (55, 43, '商品库存', 'ware/sku', '', 1, 'jiesuo', 0); INSERT INTO `sys_menu` VALUES (56, 44, '订单查询', 'order/order', '', 1, 'zhedie', 0); INSERT INTO `sys_menu` VALUES (57, 44, '退货单处理', 'order/return', '', 1, 'shanchu', 0); INSERT INTO `sys_menu` VALUES (58, 44, '等级规则', 'order/settings', '', 1, 'system', 0); INSERT INTO `sys_menu` VALUES (59, 44, '支付流水查询', 'order/payment', '', 1, 'job', 0); INSERT INTO `sys_menu` VALUES (60, 44, '退款流水查询', 'order/refund', '', 1, 'mudedi', 0); INSERT INTO `sys_menu` VALUES (61, 45, '会员列表', 'member/member', '', 1, 'geren', 0); INSERT INTO `sys_menu` VALUES (62, 45, '会员等级', 'member/level', '', 1, 'tubiao', 0); INSERT INTO `sys_menu` VALUES (63, 45, '积分变化', 'member/growth', '', 1, 'bianji', 0); INSERT INTO `sys_menu` VALUES (64, 45, '统计信息', 'member/statistics', '', 1, 'sql', 0); INSERT INTO `sys_menu` VALUES (65, 46, '首页推荐', 'content/index', '', 1, 'shouye', 0); INSERT INTO `sys_menu` VALUES (66, 46, '分类热门', 'content/category', '', 1, 'zhedie', 0); INSERT INTO `sys_menu` VALUES (67, 46, '评论管理', 'content/comments', '', 1, 'pinglun', 0); INSERT INTO `sys_menu` VALUES (68, 41, 'spu管理', 'product/spu', '', 1, 'config', 0); INSERT INTO `sys_menu` VALUES (69, 41, '发布商品', 'product/spuadd', '', 1, 'bianji', 0); INSERT INTO `sys_menu` VALUES (70, 43, '采购单维护', '', '', 0, 'tubiao', 0); INSERT INTO `sys_menu` VALUES (71, 70, '采购需求', 'ware/purchaseitem', '', 1, 'editor', 0); INSERT INTO `sys_menu` VALUES (72, 70, '采购单', 'ware/purchase', '', 1, 'menu', 0); INSERT INTO `sys_menu` VALUES (73, 41, '商品管理', 'product/manager', '', 1, 'zonghe', 0); INSERT INTO `sys_menu` VALUES (74, 42, '会员价格', 'coupon/memberprice', '', 1, 'admin', 0); INSERT INTO `sys_menu` VALUES (75, 42, '每日秒杀', 'coupon/seckillsession', '', 1, 'job', 0); -- ---------------------------- -- Table structure for sys_oss -- ---------------------------- DROP TABLE IF EXISTS `sys_oss`; CREATE TABLE `sys_oss` ( `id` bigint(20) NOT NULL AUTO_INCREMENT, `url` varchar(200) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'URL地址', `create_date` datetime(0) NULL DEFAULT NULL COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci COMMENT = '文件上传' ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for sys_role -- ---------------------------- DROP TABLE IF EXISTS `sys_role`; CREATE TABLE `sys_role` ( `role_id` bigint(20) NOT NULL AUTO_INCREMENT, `role_name` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '角色名称', `remark` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '备注', `create_user_id` bigint(20) NULL DEFAULT NULL COMMENT '创建者ID', `create_time` datetime(0) NULL DEFAULT NULL COMMENT '创建时间', PRIMARY KEY (`role_id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci COMMENT = '角色' ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for sys_role_menu -- ---------------------------- DROP TABLE IF EXISTS `sys_role_menu`; CREATE TABLE `sys_role_menu` ( `id` bigint(20) NOT NULL AUTO_INCREMENT, `role_id` bigint(20) NULL DEFAULT NULL COMMENT '角色ID', `menu_id` bigint(20) NULL DEFAULT NULL COMMENT '菜单ID', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci COMMENT = '角色与菜单对应关系' ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for sys_user -- ---------------------------- DROP TABLE IF EXISTS `sys_user`; CREATE TABLE `sys_user` ( `user_id` bigint(20) NOT NULL AUTO_INCREMENT, `username` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '用户名', `password` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '密码', `salt` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '盐', `email` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '邮箱', `mobile` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '手机号', `status` tinyint(4) NULL DEFAULT NULL COMMENT '状态 0：禁用 1：正常', `create_user_id` bigint(20) NULL DEFAULT NULL COMMENT '创建者ID', `create_time` datetime(0) NULL DEFAULT NULL COMMENT '创建时间', PRIMARY KEY (`user_id`) USING BTREE, UNIQUE INDEX `username`(`username`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 3 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci COMMENT = '系统用户' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of sys_user -- ---------------------------- INSERT INTO `sys_user` VALUES (1, 'admin', '<PASSWORD>', 'YzcmCZNvbXocrsz9dm8e', '<EMAIL>', '13612345678', 1, 1, '2016-11-11 11:11:11'); INSERT INTO `sys_user` VALUES (2, 'touchair', '76d87b25789d356a41003b1170e1075e975618d18cb97d0ac4db8810166573c0', '0flvM9V3MNQA13mxCfjP', '<EMAIL>', '19953258747', 1, 1, '2021-01-02 10:15:24'); -- ---------------------------- -- Table structure for sys_user_role -- ---------------------------- DROP TABLE IF EXISTS `sys_user_role`; CREATE TABLE `sys_user_role` ( `id` bigint(20) NOT NULL AUTO_INCREMENT, `user_id` bigint(20) NULL DEFAULT NULL COMMENT '用户ID', `role_id` bigint(20) NULL DEFAULT NULL COMMENT '角色ID', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci COMMENT = '用户与角色对应关系' ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for sys_user_token -- ---------------------------- DROP TABLE IF EXISTS `sys_user_token`; CREATE TABLE `sys_user_token` ( `user_id` bigint(20) NOT NULL, `token` varchar(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT 'token', `expire_time` datetime(0) NULL DEFAULT NULL COMMENT '过期时间', `update_time` datetime(0) NULL DEFAULT NULL COMMENT '更新时间', PRIMARY KEY (`user_id`) USING BTREE, UNIQUE INDEX `token`(`token`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci COMMENT = '系统用户Token' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of sys_user_token -- ---------------------------- INSERT INTO `sys_user_token` VALUES (1, '<PASSWORD>', '2021-01-02 22:03:56', '2021-01-02 10:03:56'); -- ---------------------------- -- Table structure for tb_user -- ---------------------------- DROP TABLE IF EXISTS `tb_user`; CREATE TABLE `tb_user` ( `user_id` bigint(20) NOT NULL AUTO_INCREMENT, `username` varchar(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '用户名', `mobile` varchar(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '手机号', `password` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '密码', `create_time` datetime(0) NULL DEFAULT NULL COMMENT '创建时间', PRIMARY KEY (`user_id`) USING BTREE, UNIQUE INDEX `username`(`username`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 2 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci COMMENT = '用户' ROW_FORMAT = Dynamic; -- ---------------------------- -- Records of tb_user -- ---------------------------- INSERT INTO `tb_user` VALUES (1, 'mark', '13612345678', '8c6976e5b5410415bde908bd4dee15dfb167a9c873fc4bb8a81f6f2ab448a918', '2017-03-23 22:37:41'); SET FOREIGN_KEY_CHECKS = 1;
<reponame>pdv-ru/ClickHouse DROP TABLE IF EXISTS test_buffer_table; CREATE TABLE test_buffer_table ( `a` Int64 ) ENGINE = Buffer('', '', 1, 1000000, 1000000, 1000000, 1000000, 1000000, 1000000); SELECT total_bytes FROM system.tables WHERE name = 'test_buffer_table' and database = currentDatabase(); INSERT INTO test_buffer_table SELECT number FROM numbers(1000); SELECT total_bytes FROM system.tables WHERE name = 'test_buffer_table' and database = currentDatabase(); OPTIMIZE TABLE test_buffer_table; SELECT total_bytes FROM system.tables WHERE name = 'test_buffer_table' and database = currentDatabase(); INSERT INTO test_buffer_table SELECT number FROM numbers(1000); SELECT total_bytes FROM system.tables WHERE name = 'test_buffer_table' and database = currentDatabase(); OPTIMIZE TABLE test_buffer_table; SELECT total_bytes FROM system.tables WHERE name = 'test_buffer_table' and database = currentDatabase(); DROP TABLE test_buffer_table;
INSERT INTO MigrationHistory ( MajorVersion, MinorVersion, FileNumber, Comment, DateApplied ) VALUES ( '01', '01', '0005', '0005', NOW() ); CREATE TABLE DraftsToTags ( Id INT GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY , DraftId INT NOT NULL , TagId INT NOT NULL , UNIQUE (DraftId,TagID) , FOREIGN KEY (DraftId) REFERENCES Drafts (Id) ON DELETE CASCADE ON UPDATE CASCADE , FOREIGN KEY (TagId) REFERENCES Tags (Id) ON DELETE CASCADE ON UPDATE CASCADE);
DROP TABLE e_gnirs_wavelength_suggestion;
<reponame>YangHao666666/hawq select unique1 from test1 order by unique1;
<filename>__temp/db_cod.sql -- phpMyAdmin SQL Dump -- version 4.9.0.1 -- https://www.phpmyadmin.net/ -- -- Host: 127.0.0.1 -- Generation Time: Sep 03, 2020 at 05:00 PM -- Server version: 10.4.6-MariaDB -- PHP Version: 7.3.9 SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO"; SET AUTOCOMMIT = 0; START TRANSACTION; SET time_zone = "+00:00"; /!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT /; /!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS /; /!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION /; /!40101 SET NAMES utf8mb4 /; -- -- Database: `db_cod` -- -- -------------------------------------------------------- -- -- Table structure for table `entities` -- CREATE TABLE `entities` ( `guid` bigint(20) UNSIGNED NOT NULL, `keyword` varchar(255) NOT NULL, `value` text NOT NULL, `timestamp` datetime NOT NULL DEFAULT current_timestamp() ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Dumping data for table `entities` -- INSERT INTO `entities` (`guid`, `keyword`, `value`, `timestamp`) VALUES (1597932638, 'price', '2400', '2020-08-20 19:40:38'), (1597932638, 'quantity', '25', '2020-08-20 19:40:38'), (1597932638, 'title', 'Air Assult', '2020-08-20 19:40:38'), (1597932821, 'price', '24000', '2020-08-20 19:43:41'), (1597932821, 'quantity', '55', '2020-08-20 19:43:42'), (1597932821, 'title', 'Call of Duty', '2020-08-20 19:43:41'), (1598179902, 'description', 'this a tasty donut', '2020-08-23 16:21:42'), (1598179902, 'title', 'donuts chocolaty', '2020-08-23 16:21:42'), (1598711828, 'email', '<EMAIL>', '2020-08-29 20:07:08'), (1598711828, 'name', '<NAME>', '2020-08-29 20:07:08'), (1598711828, 'password', '<PASSWORD>', '2020-08-29 20:07:08'), (1599045118, 'email', '<EMAIL>', '2020-09-02 16:41:58'), (1599045118, 'is_admin', 'true', '2020-09-02 16:41:58'), (1599045118, 'name', 'vinay', '2020-09-02 16:41:58'), (1599045118, 'password', '<PASSWORD>a958e6e76', '2020-09-02 16:41:58'); -- -------------------------------------------------------- -- -- Table structure for table `entities_index` -- CREATE TABLE `entities_index` ( `keyword` varchar(255) NOT NULL, `guid` bigint(20) UNSIGNED NOT NULL, `timestamp` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE current_timestamp() ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Dumping data for table `entities_index` -- INSERT INTO `entities_index` (`keyword`, `guid`, `timestamp`) VALUES ('product', 1597932638, '2020-08-20 14:10:38'), ('product', 1597932821, '2020-08-20 14:13:42'), ('productfeature', 1598179902, '2020-08-23 10:51:42'), ('user', 1598711828, '2020-08-29 14:37:08'), ('user', 1599045118, '2020-09-02 11:11:58'); -- -------------------------------------------------------- -- -- Table structure for table `entities_metadata` -- CREATE TABLE `entities_metadata` ( `guid` bigint(20) UNSIGNED NOT NULL, `keyword` varchar(255) NOT NULL, `value` text NOT NULL, `timestamp` datetime NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -------------------------------------------------------- -- -- Table structure for table `token` -- CREATE TABLE `token` ( `guid` bigint(20) UNSIGNED NOT NULL, `keyword` varchar(255) NOT NULL, `value` text NOT NULL, `timestamp` datetime NOT NULL DEFAULT current_timestamp() ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -------------------------------------------------------- -- -- Table structure for table `token_index` -- CREATE TABLE `token_index` ( `keyword` varchar(255) NOT NULL, `guid` bigint(20) UNSIGNED NOT NULL, `timestamp` timestamp NOT NULL DEFAULT current_timestamp() ON UPDATE current_timestamp() ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Indexes for dumped tables -- -- -- Indexes for table `entities` -- ALTER TABLE `entities` ADD PRIMARY KEY (`guid`,`keyword`); -- -- Indexes for table `entities_index` -- ALTER TABLE `entities_index` ADD PRIMARY KEY (`keyword`,`guid`); -- -- Indexes for table `entities_metadata` -- ALTER TABLE `entities_metadata` ADD PRIMARY KEY (`guid`,`keyword`); -- -- Indexes for table `token` -- ALTER TABLE `token` ADD PRIMARY KEY (`guid`,`keyword`); -- -- Indexes for table `token_index` -- ALTER TABLE `token_index` ADD PRIMARY KEY (`keyword`,`guid`); COMMIT; /!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT /; /!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS /; /!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION /;
<filename>web/db/migrations/1_create_users_table.up.sql CREATE TABLE users ( id SERIAL NOT NULL PRIMARY KEY, user_name VARCHAR (50) NOT NULL, user_role INTEGER DEFAULT 0 NOT NULL, email VARCHAR (100) UNIQUE NOT NULL, hashed_password CHAR(60) NOT NULL, created TIMESTAMPTZ NOT NULL DEFAULT NOW() );
DROP INDEX IF EXISTS articles_title_gin; DROP INDEX IF EXISTS articles_url_uindex; DROP TABLE IF EXISTS articles;
<filename>vault-deploy-api/db/schema/packages.sql CREATE TABLE IF NOT EXISTS packages ( rowid INTEGER NOT NULL, user_id INTEGER NOT NULL, application_version TEXT NOT NULL, be_version TEXT, fe_version TEXT, processed INTEGER NOT NULL DEFAULT 0 CHECK (processed IN (0, 1, 2)), error_message TEXT, stdout TEXT, stderr TEXT, processingCompletedAt TIMESTAMP, createdAt TIMESTAMP DEFAULT (DATETIME('now')), PRIMARY KEY (rowid), FOREIGN KEY(user_id) REFERENCES users(rowid) ON DELETE CASCADE ); CREATE TRIGGER IF NOT EXISTS tr_update_be_version AFTER INSERT ON packages WHEN NEW.be_version IS NULL BEGIN UPDATE packages SET be_version = NEW.application_version WHERE rowid = NEW.rowid; END; CREATE TRIGGER IF NOT EXISTS tr_update_fe_version AFTER INSERT ON packages WHEN NEW.fe_version IS NULL BEGIN UPDATE packages SET fe_version = NEW.application_version WHERE rowid = NEW.rowid; END;
-- phpMyAdmin SQL Dump -- version 4.0.9 -- http://www.phpmyadmin.net -- -- Host: 127.0.0.1 -- Generation Time: Feb 24, 2018 at 03:48 PM -- Server version: 5.6.14 -- PHP Version: 5.5.6 SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO"; SET time_zone = "+00:00"; /!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT /; /!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS /; /!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION /; /!40101 SET NAMES utf8 /; -- -- Database: `forum` -- -- -------------------------------------------------------- -- -- Table structure for table `admin` -- CREATE TABLE IF NOT EXISTS `admin` ( `admin_id` int(11) NOT NULL AUTO_INCREMENT, `username` varchar(255) NOT NULL, `pwd` varchar(255) NOT NULL, PRIMARY KEY (`admin_id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=2 ; -- -- Dumping data for table `admin` -- INSERT INTO `admin` (`admin_id`, `username`, `pwd`) VALUES (1, 'admin', '<PASSWORD>'); -- -------------------------------------------------------- -- -- Table structure for table `posts` -- CREATE TABLE IF NOT EXISTS `posts` ( `post_id` int(11) NOT NULL AUTO_INCREMENT, `thread_id` int(11) NOT NULL, `title` varchar(255) NOT NULL, `description` text NOT NULL, `views` varchar(255) NOT NULL DEFAULT '0', `added_by` int(11) NOT NULL, `add_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, PRIMARY KEY (`post_id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=4 ; -- -- Dumping data for table `posts` -- INSERT INTO `posts` (`post_id`, `thread_id`, `title`, `description`, `views`, `added_by`, `add_time`) VALUES (1, 1, 'First Post', 'This is my first post.', '8', 1, '2017-12-08 14:38:04'), (2, 1, 'Second Post', 'This is second post.', '5', 1, '2017-09-07 10:18:55'), (3, 1, 'Third Title', 'This is third post.', '17', 1, '2017-12-08 14:38:00'); -- -------------------------------------------------------- -- -- Table structure for table `replies` -- CREATE TABLE IF NOT EXISTS `replies` ( `reply_id` int(11) NOT NULL AUTO_INCREMENT, `post_id` int(11) NOT NULL, `title` varchar(255) NOT NULL, `description` text NOT NULL, `added_by` varchar(255) NOT NULL, `add_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, PRIMARY KEY (`reply_id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=6 ; -- -- Dumping data for table `replies` -- INSERT INTO `replies` (`reply_id`, `post_id`, `title`, `description`, `added_by`, `add_time`) VALUES (1, 1, 'Why this is first post?', 'Why this is first post?', '1', '2017-09-07 09:50:51'), (2, 1, 'This is second reply', 'This is second reply', '1', '2017-09-07 09:57:16'), (3, 1, 'Third', 'Third', '1', '2017-09-07 10:00:54'), (4, 3, 'Demo Title.', 'Demo Message.', '1', '2017-09-07 13:52:21'), (5, 4, 'Read Carefully', 'Read Carefully', '1', '2017-09-07 14:24:52'); -- -------------------------------------------------------- -- -- Table structure for table `threads` -- CREATE TABLE IF NOT EXISTS `threads` ( `thread_id` int(11) NOT NULL AUTO_INCREMENT, `topic_id` int(11) NOT NULL, `title` varchar(255) NOT NULL, `description` text NOT NULL, `views` varchar(255) NOT NULL DEFAULT '0', `added_by` int(11) NOT NULL, `add_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, PRIMARY KEY (`thread_id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=5 ; -- -- Dumping data for table `threads` -- INSERT INTO `threads` (`thread_id`, `topic_id`, `title`, `description`, `views`, `added_by`, `add_time`) VALUES (1, 3, 'Instructions', 'Instruction', '16', 1, '2017-12-08 14:38:03'), (3, 3, 'Read Carefully', 'Read Carefully', '16', 1, '2017-12-08 14:35:50'), (4, 4, 'How are you?', 'How are you?', '33', 1, '2017-09-07 14:20:57'); -- -------------------------------------------------------- -- -- Table structure for table `topics` -- CREATE TABLE IF NOT EXISTS `topics` ( `topic_id` int(11) NOT NULL AUTO_INCREMENT, `title` varchar(255) NOT NULL, `description` text NOT NULL, `added_by` varchar(255) NOT NULL DEFAULT '0', `add_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, PRIMARY KEY (`topic_id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=8 ; -- -- Dumping data for table `topics` -- INSERT INTO `topics` (`topic_id`, `title`, `description`, `added_by`, `add_time`) VALUES (3, 'Instructions', '<p>Instructions</p>', '0', '2017-09-02 16:32:13'), (4, 'General Topic', '<p>General Topic</p>', '0', '2017-09-02 16:32:19'), (5, 'Computers', '<p>Computers</p>', '0', '2017-09-02 16:33:11'), (6, 'Education', '<p>Education</p>', '0', '2017-09-02 16:33:29'), (7, 'Mobile', '<p>Mobile</p>', '0', '2017-09-02 16:35:03'); -- -------------------------------------------------------- -- -- Table structure for table `users` -- CREATE TABLE IF NOT EXISTS `users` ( `user_id` int(11) NOT NULL AUTO_INCREMENT, `fname` varchar(255) NOT NULL, `username` varchar(255) NOT NULL, `img` varchar(255) NOT NULL, `email` varchar(255) NOT NULL, `pwd` varchar(255) NOT NULL, `address` text NOT NULL, `reg_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, PRIMARY KEY (`user_id`) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=1 ; /!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT /; /!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS /; /!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION /;
<gh_stars>0 USE WideWorldImporters GO SELECT qsp.query_id, qsp.plan_id, qsp.compatibility_level, AVG(qsrs.avg_duration)/1000 as avg_duration_ms, AVG(qsrs.avg_logical_io_reads) as avg_logical_io,CAST (qsp.query_plan as XML),qsqt.query_sql_text FROM sys.query_store_plan qsp INNER JOIN sys.query_store_runtime_stats qsrs ON qsp.plan_id = qsrs.plan_id INNER JOIN sys.query_store_runtime_stats_interval qsrsi ON qsrs.runtime_stats_interval_id = qsrsi.runtime_stats_interval_id AND qsrsi.start_time between DATEADD(HOUR, -1, GETDATE()) and GETDATE() INNER JOIN sys.query_store_query qsq ON qsp.query_id = qsq. query_id INNER JOIN sys.query_store_query_text qsqt ON qsq.query_text_id = qsqt.query_text_id AND query_sql_text LIKE '%Invoices%' GROUP BY qsp.query_id, qsp.plan_id, qsrs.avg_duration, qsp.compatibility_level, qsp.query_plan, query_sql_text, qsrs.last_execution_time ORDER BY qsrs.last_execution_time DESC, query_id DESC, qsp.plan_id DESC GO
<reponame>klvdan/demos use oauth; drop table if exists `users`; create table `users` ( `id` bigint not null auto_increment, `username` varchar(40), `password` varchar(128), primary key(`id`) ); insert into `users` (`username`,`password`) values('admin','<PASSWORD>'); select * from users;
<filename>6_More_Join.sql -- More Join Operations -- 1 List the films where the yr is 1962 [Show id, title] SELECT id, title FROM movie WHERE yr=1962 -- 2 Give year of 'Citizen Kane'. SELECT yr FROM movie WHERE title='Citizen Kane' -- 3 List all of the Star Trek movies, include the id, title and yr (all of these movies include the words Star Trek in the title). Order results by year. SELECT id, title, yr FROM movie WHERE title LIKE '%Star Trek%' ORDER BY yr -- 4 What id number does the actor '<NAME>' have? SELECT id FROM actor WHERE name = '<NAME>' -- 5 What is the id of the film 'Casablanca' SELECT id FROM movie WHERE title = 'Casablanca' -- 6 Obtain the cast list for 'Casablanca'. SELECT name FROM actor JOIN casting ON actor.id = casting.actorid JOIN movie ON casting.movieid = movie.id WHERE title = 'Casablanca' -- 7 Obtain the cast list for the film 'Alien' SELECT name FROM actor JOIN casting ON actor.id = casting.actorid JOIN movie ON casting.movieid = movie.id WHERE title = 'Alien' -- 8 List the films in which 'Harrison Ford' has appeared SELECT title FROM movie JOIN casting ON movie.id = casting.movieid JOIN actor ON casting.actorid = actor.id WHERE name = '<NAME>' -- 9 List the films where 'Harrison Ford' has appeared - but not in the starring role. SELECT title FROM movie JOIN casting ON movie.id = casting.movieid JOIN actor ON casting.actorid = actor.id WHERE name = '<NAME>' AND ord != 1 -- 10 List the films together with the leading star for all 1962 films. SELECT title, name FROM movie JOIN casting ON movie.id = casting.movieid JOIN actor ON casting.actorid = actor.id WHERE yr = 1962 AND ord = 1 -- 11 Which were the busiest years for '<NAME>', show the year and the number of movies he made each year for any year in which he made more than 2 movies. SELECT yr,COUNT(title) FROM movie JOIN casting ON movie.id=movieid JOIN actor ON actorid=actor.id WHERE name='<NAME>' GROUP BY yr HAVING COUNT(title) > 2 -- 12 List the film title and the leading actor for all of the films '<NAME>' played in. SELECT title, name FROM movie JOIN casting ON (movieid = movie.id AND ord=1) JOIN actor ON (actorid = actor.id) WHERE movie.id IN ( SELECT movieid FROM casting WHERE actorid IN ( SELECT id FROM actor WHERE name='<NAME>')) -- 13 Obtain a list, in alphabetical order, of actors who've had at least 30 starring roles. SELECT actor.name FROM actor JOIN casting ON casting.actorid = actor.id WHERE ord = 1 GROUP BY name HAVING COUNT(*) >= 30; -- 14 List the films released in the year 1978 ordered by the number of actors in the cast, then by title SELECT title, COUNT(actorid) FROM casting JOIN actor ON actorid = actor.id JOIN movie ON movieid = movie.id WHERE yr = 1978 GROUP BY movieid, movie.title ORDER BY COUNT(name) DESC, title; --15 List all the people who have worked with 'Art Garfunkel'. SELECT DISTINCT name FROM movie JOIN casting ON (movieid = movie.id) JOIN actor ON (actorid = actor.id) WHERE movie.id IN (SELECT movieid FROM casting WHERE actorid IN (SELECT id FROM actor WHERE name='<NAME>')) AND name != '<NAME>';
-- phpMyAdmin SQL Dump -- version 5.0.4 -- https://www.phpmyadmin.net/ -- -- Host: 127.0.0.1 -- Generation Time: Jul 05, 2021 at 03:10 PM -- Server version: 10.4.14-MariaDB -- PHP Version: 7.4.9 SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO"; START TRANSACTION; SET time_zone = "+00:00"; /!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT /; /!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS /; /!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION /; /!40101 SET NAMES utf8mb4 /; -- -- Database: `postrweb` -- -- -------------------------------------------------------- -- -- Table structure for table `mahasiswa` -- CREATE TABLE `mahasiswa` ( `id` int(11) NOT NULL, `nim` varchar(11) NOT NULL, `nama_mahasiswa` varchar(256) NOT NULL, `prodi` varchar(128) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8; -- -- Dumping data for table `mahasiswa` -- INSERT INTO `mahasiswa` (`id`, `nim`, `nama_mahasiswa`, `prodi`) VALUES (1, '1800018190', '<NAME>', 'Teknik Informatika'), (2, '1800018380', '<NAME>', 'Teknik Informatika'), (3, '1800018221', '<NAME>', 'Teknik Informatika'), (4, '1800018411', 'Refinaldy Madras', 'Teknik Informatika'), (5, '1800018391', 'Berra', 'Teknik Informatika'); -- -------------------------------------------------------- -- -- Table structure for table `migrations` -- CREATE TABLE `migrations` ( `id` bigint(20) UNSIGNED NOT NULL, `version` varchar(255) NOT NULL, `class` varchar(255) NOT NULL, `group` varchar(255) NOT NULL, `namespace` varchar(255) NOT NULL, `time` int(11) NOT NULL, `batch` int(11) UNSIGNED NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8; -- -- Dumping data for table `migrations` -- INSERT INTO `migrations` (`id`, `version`, `class`, `group`, `namespace`, `time`, `batch`) VALUES (1, '2021-06-06-123609', 'App\\Database\\Migrations\\Mahasiswa', 'default', 'App', 1622983267, 1); -- -- Indexes for dumped tables -- -- -- Indexes for table `mahasiswa` -- ALTER TABLE `mahasiswa` ADD PRIMARY KEY (`id`); -- -- Indexes for table `migrations` -- ALTER TABLE `migrations` ADD PRIMARY KEY (`id`); -- -- AUTO_INCREMENT for dumped tables -- -- -- AUTO_INCREMENT for table `mahasiswa` -- ALTER TABLE `mahasiswa` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8; -- -- AUTO_INCREMENT for table `migrations` -- ALTER TABLE `migrations` MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2; COMMIT; /!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT /; /!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS /; /!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION /;
DROP TABLE IF EXISTS users; CREATE TABLE users ( id INTEGER PRIMARY KEY NOT NULL, username VARCHAR(255) UNIQUE NOT NULL, password VARCHAR(255) NOT NULL, name VARCHAR(255), email VARCHAR(255), role VARCHAR(255) ); INSERT INTO users (id, username, password, name, email, role) VALUES (1, 'tony', 'stark', '<NAME>', '<EMAIL>', 'admin'); DROP TABLE IF EXISTS metrics; CREATE TABLE metrics ( id INTEGER PRIMARY KEY NOT NULL, name VARCHAR(255) UNIQUE NOT NULL, type VARCHAR(255) NOT NULL, detector TEXT NOT NULL, md5 VARCHAR(255) ); INSERT INTO metrics (id, name, type, detector, md5) VALUES (1, "Load", "call", "Load", ""); INSERT INTO metrics (id, name, type, detector, md5) VALUES (2, "CPURate", "call", "CPURate", ""); INSERT INTO metrics (id, name, type, detector, md5) VALUES (3, "MemRate", "call", "MemRate", ""); INSERT INTO metrics (id, name, type, detector, md5) VALUES (4, "DiskRate", "call", "DiskRate", ""); INSERT INTO metrics (id, name, type, detector, md5) VALUES (5, "DiskRead", "call", "DiskRead", ""); INSERT INTO metrics (id, name, type, detector, md5) VALUES (6, "DiskWrite", "call", "DiskWrite", ""); INSERT INTO metrics (id, name, type, detector, md5) VALUES (7, "NetRead", "call", "NetRead", ""); INSERT INTO metrics (id, name, type, detector, md5) VALUES (8, "NetWrite", "call", "NetWrite", ""); INSERT INTO metrics (id, name, type, detector, md5) VALUES (9, "SayHi", "remote", "/detector/sayhi.py", "9ea540cf1e160752e7de7c5d7a57c18cc363cf1c"); INSERT INTO metrics (id, name, type, detector, md5) VALUES (10, "BaseMetrics", "call", "BaseMetrics", ""); DROP TABLE IF EXISTS default_metrics; CREATE TABLE default_metrics ( id INTEGER PRIMARY KEY NOT NULL, interval INTEGER NOT NULL, params TEXT ); INSERT INTO default_metrics (id, interval, params) VALUES (1, 600, ""); INSERT INTO default_metrics (id, interval, params) VALUES (2, 600, ""); INSERT INTO default_metrics (id, interval, params) VALUES (3, 600, ""); INSERT INTO default_metrics (id, interval, params) VALUES (4, 600, ""); INSERT INTO default_metrics (id, interval, params) VALUES (5, 600, ""); INSERT INTO default_metrics (id, interval, params) VALUES (6, 600, ""); INSERT INTO default_metrics (id, interval, params) VALUES (7, 600, ""); INSERT INTO default_metrics (id, interval, params) VALUES (8, 600, ""); INSERT INTO default_metrics (id, interval, params) VALUES (9, 600, ""); INSERT INTO default_metrics (id, interval, params) VALUES (10, 600, ""); DROP TABLE IF EXISTS nodes; CREATE TABLE nodes ( id INTEGER PRIMARY KEY NOT NULL, gid INTEGER DEFAULT 2, name VARCHAR(255) UNIQUE, addr VARCHAR(255) UNIQUE NOT NULL, type VARCHAR(255), os VARCHAR(255), cpu VARCHAR(255), core VARCHAR(255), mem VARCHAR(255), disk VARCHAR(255), uptime VARCHAR(255), ctime DATETIME, atime DATETIME ); DROP TABLE IF EXISTS groups; CREATE TABLE groups ( id INTEGER PRIMARY KEY NOT NULL, pid INTEGER DEFAULT 0, level INTEGER DEFAULT 0, name VARCHAR(255) ); INSERT INTO groups (id, pid, level, name) VALUES (1, 0, 0, "Others"); INSERT INTO groups (id, pid, level, name) VALUES (2, 1, 0, "Ungrouped"); INSERT INTO groups (id, pid, level, name) VALUES (3, 0, 0, "Main"); INSERT INTO groups (id, pid, level, name) VALUES (4, 0, 0, "Sub"); INSERT INTO groups (id, pid, level, name) VALUES (5, 3, 1, "BJ"); INSERT INTO groups (id, pid, level, name) VALUES (6, 3, 1, "M6"); INSERT INTO groups (id, pid, level, name) VALUES (7, 3, 1, "SX"); INSERT INTO groups (id, pid, level, name) VALUES (8, 4, 1, "BJ-01"); INSERT INTO groups (id, pid, level, name) VALUES (9, 4, 1, "BJ-02"); INSERT INTO groups (id, pid, level, name) VALUES (10, 4, 1, "M6-01"); INSERT INTO groups (id, pid, level, name) VALUES (11, 4, 1, "M6-02"); INSERT INTO groups (id, pid, level, name) VALUES (12, 4, 1, "SX-01"); INSERT INTO groups (id, pid, level, name) VALUES (13, 4, 1, "SX-01"); INSERT INTO groups (id, pid, level, name) VALUES (14, 4, 1, "SH-01"); INSERT INTO groups (id, pid, level, name) VALUES (15, 4, 1, "SH-01"); DROP TABLE IF EXISTS metric_bindings; CREATE TABLE metric_bindings ( id INTEGER PRIMARY KEY NOT NULL, node INTEGER NOT NULL, metric INTEGER NOT NULL, interval INTEGER NOT NULL, params TEXT, ctime DATETIME, atime DATETIME, UNIQUE(node, metric) ); DROP TABLE IF EXISTS metric_records; CREATE TABLE metric_records ( id INTEGER PRIMARY KEY NOT NULL, node INTEGER NOT NULL, metric INTEGER NOT NULL, value TEXT NOT NULL, ctime DATETIME ); DROP TABLE IF EXISTS current_metrics; CREATE TABLE current_metrics ( id INTEGER PRIMARY KEY NOT NULL, node INTEGER NOT NULL, metric INTEGER NOT NULL, value TEXT NOT NULL, ctime DATETIME, UNIQUE(node, metric) ); DROP VIEW IF EXISTS current_metrics_view; CREATE VIEW current_metrics_view AS SELECT c.node AS node, c.metric AS metric, b.name AS name, c.value AS value, c.ctime AS ctime FROM current_metrics AS c, metrics AS b WHERE c.metric = b.id; DROP TABLE IF EXISTS config; CREATE TABLE config ( id INTEGER PRIMARY KEY NOT NULL, name VARCHAR(255) UNIQUE NOT NULL, value TEXT );
-- MySQL dump 10.13 Distrib 8.0.13, for Win64 (x86_64) -- -- Host: 127.0.0.1 Database: stusys -- ------------------------------------------------------ -- Server version 8.0.13 /!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT /; /!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS /; /!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION /; SET NAMES utf8 ; /!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE /; /!40103 SET TIME_ZONE='+00:00' /; /!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 /; /!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 /; /!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' /; /!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 /; -- -- Table structure for table `tutor_info` -- DROP TABLE IF EXISTS `tutor_info`; /!40101 SET @saved_cs_client = @@character_set_client /; SET character_set_client = utf8mb4 ; CREATE TABLE `tutor_info` ( `TutorID` varchar(10) NOT NULL, `TutorName` varchar(20) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL, `TutorSex` varchar(1) DEFAULT NULL, `TutorBirthday` datetime DEFAULT NULL, `TutorLevel` varchar(3) DEFAULT NULL, `TutorDescript` varchar(5000) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL, `Email` varchar(40) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL, `HomePage` varchar(100) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL, `Tel` varchar(15) CHARACTER SET utf8 COLLATE utf8_general_ci DEFAULT NULL, PRIMARY KEY (`TutorID`), KEY `TutorLevel_idx` (`TutorLevel`), KEY `TutorSex_idx` (`TutorSex`), CONSTRAINT `TutorLevel` FOREIGN KEY (`TutorLevel`) REFERENCES `tutorlevel` (`tutorlevel`), CONSTRAINT `TutorSex` FOREIGN KEY (`TutorSex`) REFERENCES `sex` (`sex`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci; /!40101 SET character_set_client = @saved_cs_client /; -- -- Dumping data for table `tutor_info` -- LOCK TABLES `tutor_info` WRITE; /!40000 ALTER TABLE `tutor_info` DISABLE KEYS /; INSERT INTO `tutor_info` VALUES ('20030012','刘波','男','1970-05-15 00:00:00','11','NULL','NULL','NULL','84236589'),('20032654','刘振华','男','1977-06-05 00:00:00','11','NULL','NULL','NULL','85236514'),('20042561','李想','女','1976-05-29 00:00:00','12','NULL','NULL','NULL','82365178'),('20050124','刘宁宁','男','1975-06-15 00:00:00','11','NULL','NULL','NULL','84236599'),('20054256','刘勇','男','1978-03-02 00:00:00','11','NULL','NULL','NULL','84236512'),('20061541','于红','女','1976-09-26 00:00:00','12','NULL','NULL','NULL','84236586'),('20071036','杨淑宁','女','1980-03-25 00:00:00','13','NULL','NULL','NULL','84223658'),('20071523','张国明','男','1975-05-14 00:00:00','12','NULL','NULL','NULL','84236521'),('20081074','刘晓艳','女','1976-09-15 00:00:00','12','NULL','NULL','NULL','85632462'),('20091089','张德珍','男','1973-03-12 00:00:00','12','NULL','NULL','NULL','84728530'),('20091523','陈晓','女','1975-05-12 00:00:00','13','NULL','NULL','NULL','82364145'),('20091542','李军','男','1977-04-25 00:00:00','13','NULL','NULL','NULL','84236654'); /!40000 ALTER TABLE `tutor_info` ENABLE KEYS /; UNLOCK TABLES; /!40103 SET TIME_ZONE=@OLD_TIME_ZONE /; /!40101 SET SQL_MODE=@OLD_SQL_MODE /; /!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS /; /!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS /; /!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT /; /!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS /; /!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION /; /!40111 SET SQL_NOTES=@OLD_SQL_NOTES /; -- Dump completed on 2018-11-29 14:56:34
<filename>migrations/201901140748_users_up.sql create sequence user_seq; create table users ( id bigint check (id > 0) not null default nextval ('user_seq'), email varchar(255) not null unique, display_name varchar(255) not null, password bytea not null, role smallint not null default 0, preferences jsonb not null default '{}'::jsonb, primary key (id) ); alter sequence user_seq restart with 1;
delete from id_generator where idname = 'swm.contractor.number' and tenantId= 'default'; INSERT INTO id_generator(idname, tenantid, format, sequencenumber) VALUES ('swm.supplier.number', 'default', 'MH-SWM-SPLR-[SEQ_SWM_SPLR_NUM]', 1);
<filename>migrations/1514309744_add_outfit_items_table.up.sql create table outfit_items( id uuid not null, outfit_id uuid not null references outfits(id) on delete cascade, item_id uuid not null references items(id) on delete cascade, created_at timestamp not null, deleted_at timestamp ); create index outfit_items_outfit_id on outfit_items(outfit_id); create index outfit_items_item_id on outfit_items(item_id); create index outfit_items_created_at on outfit_items(created_at); create index outfit_items_deleted_at on outfit_items(deleted_at);
<reponame>jdkoren/sqlite-parser -- analyze3.test -- -- execsql { -- BEGIN; -- CREATE TABLE t3(y TEXT, x INTEGER); -- INSERT INTO t3 SELECT y, x FROM t1; -- CREATE INDEX i3 ON t3(x); -- COMMIT; -- ANALYZE; -- } BEGIN; CREATE TABLE t3(y TEXT, x INTEGER); INSERT INTO t3 SELECT y, x FROM t1; CREATE INDEX i3 ON t3(x); COMMIT; ANALYZE;
-- file:create_operator.sql ln:113 expect:true CREATE OPERATOR === ( LEFTARG = boolean, RIGHTARG = boolean, PROCEDURE = fn_op2, COMMUTATOR = ===, NEGATOR = !==, RESTRICT = contsel, JOIN = contjoinsel, SORT1, SORT2, LTCMP, GTCMP, HASHES, MERGES )
<reponame>ralfkret/store set client_min_messages to error; set client_encoding = 'UTF8'; drop schema if exists store cascade; create schema store; set search_path = store; create table store.items ( id serial primary key, name text not null unique, price numeric, weight numeric ); create table store.invoices ( id serial primary key, person_id integer not null references peeps.people(id), order_date date not null default current_date, payment_date date, payment_info text, subtotal numeric, shipping numeric, total numeric, country char(2) references peeps.countries(code), address text, ship_date date, ship_info text ); create index on store.invoices(person_id); create index unshipped on store.invoices(payment_date, ship_date, address); create table store.lineitems ( id serial primary key, invoice_id integer not null references store.invoices(id) on delete cascade, item_id integer not null references store.items(id) on delete restrict, quantity smallint not null default 1 check (quantity > 0), price numeric, unique(invoice_id, item_id) ); create index on store.lineitems(invoice_id); create table store.shipchart ( id serial primary key, country char(2) references peeps.countries(code), weight numeric not null, -- up to this (invoice.weight <= shipchart.weight) cost numeric not null ); create index on store.shipchart(country, weight);
insert into move (vehicle_id, day_num, ts_ini, ts_end) select tt.vehicle_id , tt.day_num , ( select min(s1.time_stamp) from signal s1 where s1.day_num = tt.day_num and s1.vehicle_id = tt.vehicle_id ) as ts_ini , ( select max(s2.time_stamp) from signal s2 where s2.day_num = tt.day_num and s2.vehicle_id = tt.vehicle_id ) as ts_end from (select distinct vehicle_id, day_num from signal) tt;
<filename>samples/core/src/test/resources/AllTests/setup/db/V9001_1__Delete_data.sql SET FOREIGN_KEY_CHECKS=0; DELETE FROM RESTAURANTTABLE; DELETE FROM RESTAURANTORDER; DELETE FROM PRODUCT; DELETE FROM OFFER; DELETE FROM ORDERPOSITION; DELETE FROM BILL; --Keep Staffmembers to allow authentication --DELETE FROM STAFFMEMBER; SET FOREIGN_KEY_CHECKS=1;
CREATE OR REPLACE VIEW valid_inbound_ips_helper AS SELECT DISTINCT "source_ip" FROM inbound_connection_agent;
<gh_stars>0 -------------------------------------------------------- -- File created - Tuesday-August-01-2017 -------------------------------------------------------- DROP TABLE DGVA_STUDY_BROWSER; create table dgva_study_browser ( STUDY_ACCESSION varchar(4000), TAXONOMY_IDS varchar(4000), COMMON_NAMES varchar(4000), SCIENTIFIC_NAMES varchar(4000), PUBMED_IDS varchar(4000), DISPLAY_NAME varchar(4000), STUDY_TYPE varchar(4000), STUDY_URL varchar(4000), STUDY_DESCRIPTION varchar(4000), ANALYSIS_TYPES varchar(4000), DETECTION_METHODS varchar(4000), METHOD_TYPES varchar(4000), PLATFORM_NAMES varchar(4000), ASSEMBLY_NAMES varchar(4000) ); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd53','9606','Human','Homo sapiens','21559371','Tuttelmann_et_al_2011','Case-Control',null,'Comparison of 89 infertile male patients with severe oligozoospermia (=5 x Mill./ml sperm concentration and =10 Mill. total sperm count) and 37 with azoospermia due to complete, bilateral Sertoli-cell-only syndrome (SCOS) with 100 healthy controls with normal semen parameters (=20 Mill./ml sperm concentration, =40 Mill. total sperm count, =2 ml semen volume, =50% of grade a+b or =25% grade a motility, high percentage of normal forms (=10%)). Patient-specific and either recurring or private, sex-chromosomal CNVs are reported as possibly causing spermatogenic failure.','Probe signal intensity,Probe signal intensity','Analysis with ''DNA Analytics�� (version 4.0.81, Agilent Technologies),Analysis with ''DNA Analytics�� (version 4.0.81, Agilent Technologies)','Oligo aCGH,Oligo aCGH','Agilent-021850 SurePrint G3 Human CGH Microarray 2x400K,Agilent-014693 Human Genome CGH Microarray 244A (Feature number version)','GRCh37.p13,GRCh38.p2,GRCh38,NCBI36,GRCh38.p2,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd54','9606','Human','Homo sapiens','21841781','Cooper_et_al_2011','Case-Control',null,'Copy Number Variants from 15,767 cases of Developmental Delay and Intellectual Disability from Signature Genomics, and 8329 Control Samples. This study contains samples in common with [Coe et al. 2014\|/dbvar/studies/nstd100]. Due to analysis differences (see manuscripts) please use the case samples (Sampleset 1) from only one of these submissions. Control sample sets do not overlap and may be combined.','SNP genotyping analysis,Probe signal intensity','A Hidden Markov Model (HMM) based on both allele frequencies and total intensity values (details in ','SNP array,Oligo aCGH','Not reported,Not reported','GRCh37.p13,GRCh38,NCBI36,GRCh38.p2,GRCh37,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd55','9606','Human','Homo sapiens','21636067','Zhu_et_al_2011','Control Set',null,'We used a PCR-based sequencing method to detect deletions mediated by a human-specific palindromic sequence in 740 individuals of different ethnic origins.','Sequence alignment',null,'Sequencing','Not reported','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd56','9913','Cow','Bos taurus','20212021','Liu_et_al_2010','Control Set',null,'We describe the first systematic and genome-wide analysis of copy number variations (CNVs) in modern domesticated cattle using array CGH, qPCR and FISH for 90 animals from 11 Bos taurus, 3 Bos indicus and 3 composite breeds for beef, dairy or dual purpose.','Probe signal intensity,Probe signal intensity,Probe signal intensity',null,'qPCR,FISH,Oligo aCGH','Not reported,Not reported,Not reported','Bos_taurus_UMD_3.1.1,Btau_4.0,Btau_5.0.1'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd57','9796','Horse','Equus caballus','22340285','Doan_et_al_2012','Control Set',null,'Whole genome sequencing of Quarter Horse','Read depth,Sequence alignment,Probe signal intensity','FREEC Software,ADAM-2 Algorithm,CLC Genomics','Sequencing,Sequencing,Oligo aCGH','Illumina GA II,Illumina GA II,aCGH Exon array','EquCab2.0'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd58','9606','Human','Homo sapiens','22305530','Forsberg_et_al_2012','Control Set',null,'Using age-stratified cohorts of monozygotic twins and singleborn subjects, we describe age-related accumulation of copy number variation (CNV) in the nuclear genomes in vivo. DNA from peripheral blood was run on Illumina genotyping arrays and the LogR Ratio and B-allele-frequency data were used to identify somatic copy number events.','SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis',null,'SNP array,SNP array,SNP array,SNP array,SNP array,SNP array','Illumina Human660W Quad v1,Illumina Human660W-Quad v1.0 BeadChip,Illumina Human1M-Duov3 DNA Analysis BeadChip (Human1M-Duov3_B),Illumina Human1M Duo v3,Illumina Human660W-Quad v1.0 BeadChip,Illumina Human1M-Duov3 DNA Analysis BeadChip (Human1M-Duov3_B)','GRCh38,NCBI36,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd59','9606','Human','Homo sapiens','22608502','Lopez-Herrera_et_al_2012','Case-Set',null,'Deleterious mutations in LRBA are associated with a novel syndrome of immune deficiency and autoimmunity','Sequence alignment',null,'Sequencing','Not reported','GRCh38,GRCh37,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd6','9606','Human','Homo sapiens','16902084','Mills_et_al_2006','Control Set',null,'In this report, we describe an initial map of human INDEL variation that contains 415,434 unique INDEL polymorphisms. These INDELs were identified with a computational approach using DNA re-sequencing traces originally generated for SNP discovery.','Sequence alignment',null,'Sequencing','Not reported','GRCh37.p13,GRCh38.p2,GRCh37,GRCh38.p2,NCBI35,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd60','9913','Cow','Bos taurus','21345189','Hou_et_al_2011','Control Set',null,'We performed a systematic analysis of CNV using the Bovine HapMap SNP genotyping data, including 521 animals of 21 modern cattle breeds. After correcting genomic waves and considering the pedigree information, we identified 682 candidate CNV regions, which represent 139.8 megabases (~4.60%) of the genome. Selected CNVs were further experimentally validated and we found that copy number "gain" CNVs were predominantly clustered in tandem rather than existing as interspersed duplications. Many CNV regions (~56%) overlap with cattle genes (1,263), which are significantly enriched for immunity, lactation, reproduction and rumination. The overlap of this new dataset and other published CNV studies was less than 40%; however, our discovery of large, high frequency (> 5% of animals surveyed) CNV regions showed 90% agreement with other studies. These results highlight the differences and commonalities between technical platforms.','SNP genotyping analysis,Probe signal intensity','PennCNV','SNP array,qPCR','BovineSNP50,Not reported','Bos_taurus_UMD_3.1.1,Btau_4.0,Btau_5.0.1'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd61','9913','Cow','Bos taurus','21928070','Hou_et_al_2011b','Case-Control',null,'In this study, we performed a large-scale analysis of CNVs using SNP genotyping data from 472 Angus cattle that were segregated for parasite resistance and susceptibility to gastrointestinal nematodes. To investigate the functional impacts of CNVs, we created 2 groups of 100 individual animals with extremely low or high estimated breeding values of eggs per gram of feces and referred to these groups as parasite resistant (PR) or parasite susceptible (PS), respectively. We identified 297 (~51 Mb) and 282 (~48 Mb) CNV regions from PR and PS groups, respectively. Approximately 60% of the CNV regions were specific to the PS group or PR group of animals. Selected PR- or PS-specific CNVs were further experimentally validated by quantitative PCR. A total of 297 PR CNV regions overlapped with 437 Ensembl genes enriched in immunity and defense, like WC1 gene which uniquely expresses on gamma/delta T cells in cattle. Network analyses indicated that the PR-specific genes were predominantly involved in gastrointestinal disease, immunological disease, inflammatory response, cell-to-cell signaling and interaction, lymphoid tissue development, and cell death. By contrast, the 282 PS CNV regions contained 473 Ensembl genes which are overrepresented in environmental interactions. Network analyses indicated that the PS-specific genes were particularly enriched for inflammatory response, immune cell trafficking, metabolic disease, cell cycle, and cellular organization and movement.','SNP genotyping analysis,Probe signal intensity','PennCNV','SNP array,qPCR','BovineSNP50,Not reported','Bos_taurus_UMD_3.1.1,Btau_5.0.1,Btau_4.0'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd62','7955','Zebrafish','<NAME>','22203992','Brown_et_al_2012','Control Set',null,'Comparative genomic hybridization analysis of 3 laboratory and one wild zebrafish populations for Copy Number Variants','Probe signal intensity','Nexus copy number software','Oligo aCGH','Agilent','Zv8,Zv9,GRCz10'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd63','4558','Sorghum','Sorghum bicolor','22104744','Zheng_et_al_2011','Control Set','http://gigadb.org/dataset/100012','Sorghum (Sorghum bicolor) is globally produced as a source of food, feed, fibre and fuel. Grain and sweet sorghums differ in a number of important traits including stem sugar and juice accumulation, plant height and production of grain and biomass. The first whole genome sequence of a grain sorghum is available, but additional genome sequences are required to study genome-wide and intraspecies variation for dissecting the genetic basis of these important traits and for tailor-designed breeding of this important C4 crop. We resequenced two sweet and one grain sorghum inbred lines, and identified a set of nearly 1,500 genes differentiating sweet and grain sorghum. In addition, we uncovered 1,057,018 SNPs, 99,948 indels of 1-10bp in length and 16,487 presence/absence variations. In addition, 17,111 CNVs were detected. This is a first report on the identification of genome-wide patterns of genetic variation in sorghum.','Read depth,Paired-end mapping','soapCNV,soapSV','Sequencing,Sequencing','Illumina Solexa Genome Analyzer,Illumina Solexa Genome Analyzer','Sorbi1'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd64','9606','Human','Homo sapiens','17921354','Wang_et_al_2007','Control Set',null,'Comprehensive identification and cataloging of copy number variations (CNVs) is required to provide a complete view of human genetic variation. The resolution of CNV detection in previous experimental designs has been limited to tens or hundreds of kilobases. Here we present PennCNV, a hidden Markov model (HMM) based approach, for kilobase-resolution detection of CNVs from Illumina high-density SNP genotyping data. This algorithm incorporates multiple sources of information, including total signal intensity and allelic intensity ratio at each SNP marker, the distance between neighboring SNPs, the allele frequency of SNPs, and the pedigree information where available. We applied PennCNV to genotyping data generated for 112 HapMap individuals; on average, we detected approximately 27 CNVs for each individual with a median size of approximately 12 kb. Excluding common rearrangements in lymphoblastoid cell lines, the fraction of CNVs in offspring not detected in parents (CNV-NDPs) was 3.3%. Our results demonstrate the feasibility of whole-genome fine-mapping of CNVs via high-density SNP genotyping.','Probe signal intensity','PennCNV','SNP array','GPL6433','GRCh37.p13,GRCh38.p2,GRCh37,GRCh38.p2,NCBI35,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd65','9606','Human','Homo sapiens','20802225','Ju_et_al_2010','Control Set',null,'Comparative genomic hybridization (CGH) microarrays have been used to determine copy number variations (CNVs) and their effects on complex diseases. Detection of absolute CNVs independent of genomic variants of an arbitrary reference sample has been a critical issue in CGH array experiments. Whole genome analysis using massively parallel sequencing with multiple ultra-high resolution CGH arrays provides an opportunity to catalog highly accurate genomic variants of the reference DNA (NA10851). Using information on variants, we developed a new method, the CGH array referencefree algorithm (CARA), which can determine reference-unbiased absolute CNVs from any CGH array platform. The algorithm enables the removal and rescue of false positive and false negative CNVs, respectively, which appear due to the effects of genomic variants of the reference sample in raw CGH array experiments. We found that the CARA remarkably enhanced the accuracy of CGH array in determining absolute CNVs. Our method thus provides a new approach to interpret CGH array data for personalized medicine.','Read depth','CGH array reference free algorithm (CARA)','Sequencing','Illumina IIx','GRCh37.p13,GRCh38,GRCh38.p2,GRCh38.p2,GRCh37,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd66','9606','Human','Homo sapiens','15273396','Sebat_et_al_2004','Control Set',null,'The extent to which large duplications and deletions contribute to human genetic variation and diversity is unknown. Here, we show that large-scale copy number polymorphisms (CNPs) - about 100 kilobases and greater - contribute substantially to genomic variation between normal humans. Representational oligonucleotide microarray analysis of 20 individuals revealed a total of 221 copy number differences representing 76 unique CNPs. On average, individuals differed by 11 CNPs, and the average length of a CNP interval was 465 kilobases. We observed copy number variation of 70 different genes within CNP intervals, including genes involved in neurological function, regulation of cell growth, regulation of metabolism, and several genes known to be associated with disease.','Probe signal intensity','S-PLUS Software','ROMA','A custom Nimblegen photoprint 85,000 probe ROMA oligo array platform was used.','GRCh37.p13,GRCh38.p2,GRCh37,NCBI35,GRCh38.p2,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd67','9606','Human','Homo sapiens','20364138','Park_et_al_2010','Control Set',null,'Copy number variants (CNVs) account for the majority of human genomic diversity in terms of base coverage. Here, we have developed and applied a new method to combine high-resolution array comparative genomic hybridization (CGH) data with whole-genome DNA sequencing data to obtain a comprehensive catalog of common CNVs in Asian individuals. The genomes of 30 individuals from three Asian populations (Korean, Chinese and Japanese) were interrogated with an ultra-high-resolution array CGH platform containing 24 million probes. Whole-genome sequencing data from a reference genome (NA10851, with 28.3× coverage) and two Asian genomes (AK1, with 27.8× coverage and AK2, with 32.0× coverage) were used to transform the relative copy number information obtained from array CGH experiments into absolute copy number values. We discovered 5,177 CNVs, of which 3,547 were putative Asian-specific CNVs. These common CNVs in Asian populations will be a useful resource for subsequent genetic studies in these populations, and the new method of calling absolute CNVs will be essential for applying CNV data to personalized medicine.','Probe signal intensity','The ADM2 statistical algorithm was used to identify CNVs based on the combined log2ratios.','Oligo aCGH','Agilent 24M aCGH','GRCh37.p13,GRCh38.p2,GRCh37,GRCh38.p2,NCBI36,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd68','9606','Human','Homo sapiens','17160897','Wong_et_al_2007','Control Set',null,'Segmental copy-number variations (CNVs) in the human genome are associated with developmental disorders and susceptibility to diseases. More importantly, CNVs may represent a major genetic component of our phenotypic diversity. In this study, using a whole-genome array comparative genomic hybridization assay, we identified 3,654 autosomal segmental CNVs, 800 of which appeared at a frequency of at least 3%. Of these frequent CNVs, 77% are novel. In the 95 individuals analyzed, the two most diverse genomes differed by at least 9 Mb in size or varied by at least 266 loci in content. Approximately 68% of the 800 polymorphic regions overlap with genes, which may reflect human diversity in senses (smell, hearing, taste, and sight), rhesus phenotype, metabolism, and disease susceptibility. Intriguingly, 14 polymorphic regions harbor 21 of the known human microRNAs, raising the possibility of the contribution of microRNAs to phenotypic diversity in humans. This in-depth survey of CNVs across the human genome provides a valuable baseline for studies involving human genetics.','Probe signal intensity',null,'BAC aCGH','GPL2616','GRCh37.p13,GRCh38,GRCh38.p2,GRCh38.p2,GRCh37,NCBI35'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd69','9913','Cow','Bos taurus','22300768','Bickhart_et_al_2012','Control Set',null,'Using a read depth approach based on next-generation sequencing, we examined genome-wide copy number differences among five taurine (three Angus, one Holstein and one Hereford) and one indicine (Nelore) cattle. We identified 1,265 CNV regions comprising ~55.6 Mbp sequence-476 of which (~38%) have not previously been reported. Genes related to pathogen- and parasite-resistance, such as CATHL4 and ULBP17, were highly duplicated in the Nelore individual relative to the taurine cattle, while genes involved in lipid transport and metabolism, including APOL3 and FABP2, were highly duplicated in the beef breeds. These CNV regions also harbor genes like BPIFA2A (BSP30A) and WC1, suggesting that some CNVs may be associated with breed-specific differences in adaptation, health, and production traits.','Probe signal intensity,Probe signal intensity,Read depth,Read depth',null,'FISH,Sequencing,Sequencing,qPCR','Not reported,BioRad iCycler,Illumina GAIIx,Sanger','Bos_taurus_UMD_3.1.1,Btau_5.0.1,Btau_4.0'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd7','10090','Mouse','Mus musculus','19270704','Cahan_et_al_2009','Control Set','http://graubertlab.dom.wustl.edu/downloads.html','We analyzed the copy number content of the mouse genome to sub��10-kb resolution. We identified over 1,300 copy number variant regions (CNVRs), most of which are < 10 kb in length, are found in more than one strain, and, in total, span 3.2% (85 Mb) of the genome.','Probe signal intensity,Probe signal intensity','wuHMM,wuHMM','Oligo aCGH,Oligo aCGH','NimbleGen Mouse 2.1M NCBI36,WU Mouse_Illumina_46k_v6-1.1','MGSCv36,MGSCv37,GRCm38.p3,GRCm38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd70','10090','Mouse','Mus musculus','23110596','Yasuda_et_al_2012','Control Set',null,'To evaluate the accuracy of computational tools that detect large deletions based on next generation sequencing, we generated deletion calls based on Sanger reads. This data contains deletions in chromosome 1 of the DBA/2J strain against mm9. The coordinates are in base-pair level resolution. We generated this data in following steps: (1) Sanger reads were obtained from the NCBI trace archive database. (2) These sequences were mapped to chromosome 1 of mm9 by MegaBLAST. (3) Our custom perl script found split Sanger reads that indicate deletions. (4) Deletions indicated by Sanger reads were merged if their coordinates were within 5 bases.','Split read mapping','megablast','Sequencing','Not reported','MGSCv37,GRCm38.p3,GRCm38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd71','9606','Human','Homo sapiens','21882294','Xu_et_al_2011','Control Set',null,'Singapore Database of Copy Number Variants (SgD-CNV)','SNP genotyping analysis,SNP genotyping analysis','PennCNV,PennCNV','SNP array,SNP array','Illumnina HumanHap 610 Quad,Illumnina HumanHap 1MduoV3','GRCh37.p13,NCBI36,GRCh38.p2,GRCh37,GRCh38.p2,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd72','9606','Human','Homo sapiens','23091296','Morak_et_al_2012','Case-Set',null,'We have discovered two new intrachromosomal breakpoints in the region upstream of CRLF2 exon1, which are involved in P2RY8-CRLF2 rearrangements in childhood ALL. This breakpoints are approximately 0.1 kb and 2.1 kb distal to CRLF2 exon1.','Sequence alignment',null,'Sequencing','Not reported','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd73','9606','Human','Homo sapiens','24416366','Dogan_et_al_2014','Control Set',null,'In this study we have sequenced the whole genome of an anonymous healthy male Turkish individual with high coverage (~35x). Resulting high quality data represented ~1.18 billion paired-end reads accounting for ~116,720 M bp. The structural variations (SV) submitted in this entry have been identified using paired-end and read-depth based SV calling algorithms.','Paired-end mapping,Read depth','CLEVER,CNVnator','Sequencing,Sequencing','Illumina HiSeq 2000,Illumina HiSeq 2000','GRCh38,GRCh38.p2,GRCh38.p2,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd74','10090','Mouse','Mus musculus','23321323','Kazmi_et_al_2013','Tumor vs. Matched-Normal',null,'Array CGH analysis of malignant peripheral nerve sheath tumors (MPNSTs) arising in neuregulin-1 overexpressing (P0-GGFbeta3) mice','Probe signal intensity','‘Feature Extraction v9.5’ and ‘DNA Analytics v4.0’ software (Agilent Technologies)','Oligo aCGH','Agilent','MGSCv37,GRCm38.p3,GRCm38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd75','9606','Human','Homo sapiens','23215555','ClinGen_Prenatal','Case-Set','http://www.clinicalgenome.org','Prenatal Dataset, ClinGen. This study contains the microarray data from a large, prospective study of prenatal diagnostic samples to assess, in blinded fashion, the ability of microarray analysis to diagnose common chromosome abnormalities and to gauge the extent of additional information provided by microarray analysis as compared with standard karyotyping.','Probe signal intensity,Manual observation,Manual observation,Manual observation',null,'Oligo aCGH,Karyotyping,PCR,FISH','Not reported,Not reported,Not reported,Not reported','GRCh37.p13,GRCh38.p2,GRCh38.p2,NCBI36,GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd76','9606','Human','Homo sapiens','23541343','Watson_et_al_2013','Control Set',null,'The immunoglobulin heavy chain locus (IGH) encodes variable (IGHV), diversity (IGHD), joining (IGHJ), and constant (IGHC) genes, and is responsible for antibody heavy chain biosynthesis. Using a hydatidiform mole BAC clone resource, and fosmid clone libraries from nine diploid genomes of diverse ethnic origin, we have characterized 9 large structural variants (4 insertions; 1 tandem duplication; 2 deletions; 2 complex events) in this region at nucleotide resolution, accounting for over 220 Kbp of novel sequence.','Sequence alignment',null,'Sequencing','capillary-based Sanger sequencing','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd77','9606','Human','Homo sapiens','26813944','Polley_et_al_2016','Case-Control',null,'DMBT1 has a complex copy number variable structure, with two, independent, rapidly mutating copy number variable regions, called CNV1 and CNV2. Because the copy number variable regions are predicted to affect the number of bacteria-binding domains, different alleles may alter host-microbe interactions in the gut. Our aim was to investigate the role of this complex variation in susceptibility to Crohn''s disease. We analysed the association of both copy number variable regions with presence of Crohn''s disease, and its severity, on three case-control cohorts. We also reanalysed array comparative genomic hybridisation data (aCGH) from a large case-control cohort study for both copy number variable regions. We found no association with a linear increase in copy number, nor when the CNV1 is regarded as presence or absence of a deletion allele.','Probe signal intensity,Probe signal intensity,Probe signal intensity','CNVtools,CNVtools','Oligo aCGH,qPCR,qPCR','Not reported,Not reported,Not reported','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd78','9606','Human','Homo sapiens','23359205','Schrider_et_al_2013','Control Set',null,'An important class of gene copy-number polymorphism is gene duplications caused by retrotransposition, which result in a new intron-less copy of the parental gene (retroCNV) being inserted into a random location in the genome. Here we report the first genome-wide analysis of these variants in humans. We find that retroCNVs account for a substantial fraction of gene copy-number differences between any two individuals. Moreover, we show that these variants may often result in expressed chimeric transcripts, underscoring their potential influence in the evolution of novel gene functions.','Paired-end mapping,Manual observation',null,'Sequencing,PCR','Not reported,Not reported','GRCh38,GRCh38.p2,GRCh37,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd79','9606','Human','Homo sapiens','23657883','Dittwald_et_al_2013','Case-Set',null,'Here, we constructed bioinformatically a new genome-wide map of the DP-LCR-flanked regions in human genome build hg19 using a concept of LCR clusters. We then queried and cross referenced our database of 25,144 high-resolution genomic analyses performed on patients referred for Chromosomal Microarray Analysis (CMA). This approach enabled us to determine the relative frequencies in this clinical population of known recurrent genomic disorders, and also quantitate genomic architectural features genome-wide that are associated with individual locus events, to gain insights into the parameters rendering genomic instability.','Probe signal intensity',null,'Oligo aCGH','Not reported','GRCh37.p13,GRCh38,GRCh38.p2,GRCh37,GRCh38.p2,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd8','9598,9606','Chimpanzee,Human','Pan troglodytes,Homo sapiens','18775914','Perry_et_al_2008b','Control Set',null,'In this study, we have used array-based comparative genomic hybridization (aCGH) on a human whole-genome tile-path (WGTP) platform comprised of 28,708 large-insert DNA clones to identify CNVs among the genomes of 30 unrelated chimpanzees (Pan troglodytes) and 30 unrelated humans from Africa.','Manual observation,Manual observation,Probe signal intensity,Probe signal intensity','CNVFinder,CNVFinder','FISH,BAC aCGH,PCR,BAC aCGH','Not reported,Sanger H. sapiens Whole Genome Tile Path 28.7k v3,Not reported,Sanger H. sapiens Whole Genome Tile Path 28.7k v3','GRCh37.p13,GRCh38.p2,GRCh38,GRCh38.p2,GRCh37,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd80','9606','Human','Homo sapiens','23685542','Boone_et_al_2013','Case-Set',null,'A survey of deletions encompassing or disrupting known recessive disease genes in a clinical cohort of >20,000 individuals.','Probe signal intensity,Probe signal intensity',null,'Oligo aCGH,Oligo aCGH','Not reported,Not reported','GRCh37.p13,GRCh38.p2,GRCh38.p2,NCBI36,GRCh37,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd81','9606','Human','Homo sapiens','26730743','Low_et_al_2016','Case-Control',null,'Nasopharyngeal carcinoma (NPC), is a malignant tumour arising from the epithelial lining of the nasopharynx. While a number of studies on single nucleotide polymorphisms (SNPs) associated to susceptibility to NPC had previously been carried out, studies on CNV had not been prevalent even though the functional effects of these structural variants in pathogenesis can be significant. Hence, by genotyping more than 700,000 SNPs using Illumina® Human OmniExpress SNP-based microarrays, this study aims to discover associations between copy number variants (CNVs) in the genomes of our Malaysian Chinese study population with the susceptibility to NPC.','Probe signal intensity,SNP genotyping analysis','ABI QuantStudio 12K Flex Software v.1.0, Copy Caller v.2.0,Genome Studio v.3.1.6, cnvPartition v.3.1.6, PennCNV v.2011 Jun16), Partek (v.6.6)','qPCR,SNP array','ABI QuantStudio,Illumina Human OmniExpress','GRCh38,NCBI36,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd82','9593,9595,9598,9600,9606,37011,46359,741158,756884,406788,37012,37010,9601,9597','Western gorilla,Denisova hominin,Cross River gorilla,Eastern lowland gorilla,Western lowland gorilla,Human,Sumatran orangutan,Bornean orangutan,Chimpanzee,Pygmy chimpanzee','Gorilla gorilla,Pan paniscus,Pongo pygmaeus,Pan troglodytes ellioti,Homo sapiens ssp. Denisova,Gorilla gorilla diehli,Gorilla beringei graueri,Pan troglodytes verus,Pan troglodytes troglodytes,Pan troglodytes schweinfurthii,Homo sapiens,Pongo abelii,Pan troglodytes,Gorilla gorilla gorilla','23825009','Sudmant_et_al_2013','Control Set','http://eichlerlab.gs.washington.edu/greatape-cnv/','We assessed diversity and evolution of duplication and deletion diversity in the great ape lineage from 97 sequenced high-coverage great ape genomes.','Read depth,Read depth,Read depth,Read depth,Probe signal intensity,Read depth,Read depth,Read depth,Read depth,Read depth,Read depth',null,'Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Oligo aCGH,Sequencing,Sequencing,Sequencing','Not reported,Not reported,Not reported,Not reported,Not reported,Not reported,Not reported,Not reported,Not reported,Not reported,Not reported','Pan_troglodytes-2.1.3,GRCh38.p2,GRCh37,GRCh38.p2,NCBI36,GRCh38,gorGor3.1,P_pygmaeus_2.0.2,GRCh37.p13,Pan_troglodytes-2.1.4'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd83','9606','Human','Homo sapiens','24006408','Morak_et_al_2013','Case-Set',null,'The leukemia-initiating ETV6-RUNX1 (ER) fusion occurs already in utero but supporting genetic lesions are required to cause overt leukemia. To assess the timing of such B cell development- (PAX5, n=8; VpreB1, n=3), proliferation- and apoptosis-associated (BTG1, n=3; BMF, n=1) lesions, we analyzed Guthrie card DNA of 10 ER-positive leukemias for their presence. Despite our approach reaching a single cell detection level and the detection of genomic ER fusion in all Guthrie cards, we did not recover any of the specific secondary changes. These results are consistent with the prevailing notion that secondary aberrations occur in the postnatal period, but do not exclude the possibility that at least some of them emerge already prenatally and the affected clones simply have not yet reached a size that is detectable with the presently available approaches.','Sequence alignment',null,'Sequencing','Not reported','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd84','9606','Human','Homo sapiens','23893877','de_Ligt_et_al_2013','Case-Set',null,'An assessment of four published computational algorithms to identify clinically-relevant copy-number variation among patient-derived exome sequencing data. CNVs were concurrently assessed by two independent high resolution microarray platforms.','SNP genotyping analysis,Read depth,Read depth,Probe signal intensity,Read depth,Probe signal intensity,Read depth,SNP genotyping analysis',null,'SNP array,Sequencing,Oligo aCGH,Oligo aCGH,Sequencing,Sequencing,Sequencing,SNP array','Affymetrix 250k NspI array,NimbleGen, 4.2M probes,SOLiD 5500xl,SOLiD 5500xl,Affymetrix 2.7M microarray,SOLiD 5500xl,SOLiD 5500xl,Affymetrix CytoScanHD, 2.6M probes','GRCh38,GRCh38.p2,GRCh38.p2,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd85','9606','Human','Homo sapiens','24038936','vanSilfhout_et_al_2013','Case-Control',null,'The study consists of a cohort of 5,531 consecutive patients with intellectual disability who were screened for CNVs using the Affymetrix 250K NspI single-nucleotide polymorphism (SNP) array platform, between 2006 and 2011.','SNP genotyping analysis',null,'SNP array','Affymetrix 250k NspI array','GRCh37.p13,GRCh38,GRCh38.p2,GRCh38.p2,GRCh37,NCBI35'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd86','9606','Human','Homo sapiens','24094742','Poultney_et_al_2013','Case-Control',null,'Assessing burden of copy number variation in autism spectrum disorder using whole exome sequences','Read depth','XHMM (eXome Hidden Markov Model)','Sequencing','Illumina HiSeq 2000','GRCh38,GRCh38.p2,GRCh37,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd89','9606','Human','Homo sapiens','24478191','de_Boer_et_al_2014','Case-Set',null,'We report a novel LINE1-mediated insertion of a transcript from the TMF1 gene on chromosome 3 into the CYBB gene on the X chromosome in a Dutch male patient with chronic granulomatous disease. A 5.8-kb, incomplete and partly exonized TMF1 transcript was identified in intron 1 of CYBB in opposite orientation to the host gene. The sequence of the insertion showed the hallmarks of a retrotransposition event, with an antisense poly A tail, target site duplication and a consensus LINE1 endonuclease cleavage site. This insertion induced aberrant CYBB mRNA splicing, with inclusion of an extra 117-bp exon between exons 1 and 2 of CYBB. This extra exon contained a premature stop codon.','Sequence alignment',null,'Sequencing','ABI3130XL','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd9','37012',null,'Pan troglodytes verus','16702545','Perry_et_al_2006','Control Set',null,'We used two array-based comparative genomic hybridization platforms to identify a total of 355 copy number variants (CNVs) in the genomes of 20 wild-born chimpanzees (Pan troglodytes).','Probe signal intensity,Probe signal intensity,Probe signal intensity',null,'BAC aCGH,BAC aCGH,qPCR','SpectralChip 2600,GPL4010,Not reported','GRCh37.p13,GRCh38.p2,GRCh37,GRCh38,GRCh38.p2,NCBI34'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd91','9606','Human','Homo sapiens','25293716','Sallustio_et_al_2014','Case-Control',null,'We performed a whole-genome screening of CNVs in IgAN patients, their healthy relatives and healthy subjects (HS). A total of 217 individuals consisting of 51 IgAN cases and 166 healthy relatives were included in the initial screening. We identified 148 IgAN-specific aberrations, 105 loss and 43 gain. Several CNVs overlapped with regions evidenced by previous genome-wide genetic studies. Moreover, we found that IgAN patients characterized by deteriorated renal function carried low copy numbers of a CNV in chromosome 3.','SNP genotyping analysis','Multiple Sample Analysis (MSA) algorithm to determine regions of concordant copy number aberrations ','SNP array','GPL13829','GRCh37.p13,GRCh38,GRCh37,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd92','9606','Human','Homo sapiens','24777449','Forsberg_et_al_2014','Control Set',null,'We describe age-related accumulation of copy number variation (CNVs) on periferal blood cells of elderly men from 2 Swedish cohorts of normally-aging subjects, [ULSAM\|http://www2.pubcare.uu.se/ULSAM/] and [PIVUS\|http://www.medsci.uu.se/pivus/]. DNA was tested on Illumina genotyping arrays and LogR Ratio and B-allele-frequency data were used to identify somatic copy number events on automosomes and sex chromosomes. Loss of chromosome Y was found in at least 8.2% and 20.5% of subjects respectively. Median survival time and all-cause mortality, as well as cancer mortality, were found to be significatively associated with loss of chromosome Y in the studied subjects.','SNP genotyping analysis,SNP genotyping analysis',null,'SNP array,SNP array','Illumina HumanOmni2.5-Quad BeadChip,HumanOmniExpress BeadChip','GRCh38,GRCh38.p2,GRCh37,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd93','9606','Human','Homo sapiens','24746959','Lindstrand_et_al_2014','Case-Set',null,'A custom high-resolution oligonucleotide array-comparative genomic hybridization scan of 772 genes prioritized from the ciliary proteome in patients with Bardet-Biedl Syndrome and controls','Sequence alignment,Probe signal intensity','UCSC genome browser Blat,Agilent Genomic Workbench ADM2','Sequencing,Oligo aCGH','Not reported,Agilent 180k','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd94','9606','Human','Homo sapiens','24823667','Helman_et_al_2014','Tumor vs. Matched-Normal',null,'Retrotransposons constitute a major source of genetic variation, and somatic retrotransposon insertions have been reported in cancer. Here, we applied TranspoSeq, a computational framework that identifies retrotransposon insertions from sequencing data, to whole-genomes from 200 tumor/normal pairs across 11 tumor types as part of The Cancer Genome Atlas (TCGA) Pan-Cancer Project. In addition to novel germline polymorphisms, we find 810 somatic retrotransposon insertions primarily in lung squamous, head and neck, colorectal and endometrial carcinomas. Many somatic retrotransposon insertions occur in known cancer genes. We find that high somatic retrotransposition rates in tumors are associated with high rates of genomic rearrangement and somatic mutation. Finally, we developed TranspoSeq-Exome to interrogate an additional 767 tumor samples with hybrid-capture exome data and discover 35 novel somatic retrotransposon insertions into exonic regions, including an insertion into an exon of the PTEN tumor suppressor gene. The results of this large-scale, comprehensive analysis of retrotransposon movement across tumor types suggest that somatic retrotransposon insertions may represent an important class of structural variation in cancer.','Split read mapping,Split read and paired-end mapping,Manual observation',null,'Sequencing,Sequencing,PCR','Not reported,Not reported,Not reported','GRCh38,GRCh38.p2,GRCh37,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd95','10092','Western European house mouse','Mus musculus domesticus','26149421','Pezer_et_al_2015','Control Set',null,'We applied a read depth approach on next-generation sequencing data to study CNVs in 27 wild mice belonging to one ancestral and three derived populations.','Read depth','CNVnator','Sequencing','Illumina HiSeq2000','MGSCv37,GRCm38.p3,GRCm38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd96','4527','Monocots','Oryza','27025496','Bai_et_al_2016','Control Set',null,'Copy number variation (CNV), a complex genomic rearrangement, has been extensively studied in human and other species. Studies of CNV in plants have lagged behind, however. We generated the CNV map comprising 9,196 deletions relative to the reference in Oryza species derived from the published next-generation sequencing data. >80% of them were classified as insertions using the outgroup Oryza glaberrima. Coding region of 1,675 annotated genes was affected by CNVs with the function enriched in defense response pathway. 28 functional genes affected by CNV were validated, including OsMADS56, BPH14, OsDCL2b and OsMADS30, suggesting the potential role of CNV on phenotypes. 41% conserved CNV genes are non-collinear compared to O. glaberrima. âCopy and pasteâ of genomic fragments accompany with transposon and double streak break (DSB) repair processes was one origin of them. Comprehensive analysis of mutational mechanisms that generate CNV suggested non-homologous end-joining (NHEJ) and mobile element insertion (MEI) as the major determinants cause rearrangement. >80% CNVs are shared between species indicating that most of them are from the same gene pool, and predate the rice domestication or improvement. Our CNV map provides an entry point for future research on the role of CNV in Oryza genome evolution and adaptation by sequencing-based association studies.','Merging,Paired-end mapping,Read depth,Split read mapping','CNVnator,Pindel,BreakDancer','Merging,Sequencing,Sequencing,Sequencing','See merged experiments,Illumina GA2,Illumina GA2,Illumina GA2','IRGSP-1.0'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd97','9606','Human','Homo sapiens','25026903','Lou_et_al_2014','Control Set',null,'This study consists of three admixed populations (Kazakh, Kirgiz and Uyghur) in Xinjiang province, northwest of China. We used Affymetrix Genome-Wide Human SNP Array 6.0 to detect the copy number variations in these populations. The samples were all normal individuals which can be used as control set for future study.','SNP genotyping analysis','Birdsuite v1.5.2','SNP array','Not reported','GRCh38,GRCh38.p2,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd98','9606','Human','Homo sapiens','25246103','Campbell_et_al_2014b','Case-Set',null,'Breakpoint determination of HERV-HERV mediated CNVs in individuals with diverse phenotypes from a clinical laboratory.','Sequence alignment',null,'Sequencing','Not reported','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd99','9606','Human','Homo sapiens','25765185','Thareja_et_al_2015','Control Set',null,'Comprehensive analysis of a personal genome of Persian ancestry from Kuwait','Read depth and paired-end mapping',null,'Sequencing','Illumina HiSeq 2000','GRCh38,GRCh37,GRCh38.p2,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd1','9606','Human','Homo sapiens','17122850','Redon_et_al_2006','Control Set',null,'We have constructed a first-generation CNV map of the human genome through the study of 270 individuals from four populations with ancestry in Europe, Africa or Asia (the HapMap collection). DNA from these individuals was screened for CNV using two complementary technologies: single-nucleotide polymorphism (SNP) genotyping arrays, and clone-based comparative genomic hybridization.','SNP genotyping analysis,SNP genotyping analysis,Probe signal intensity',null,'SNP array,BAC aCGH,SNP array','Affymetrix GeneChip Early Access Mapping 500K Set Array (250K_Nsp_SNP),Agilent,Affymetrix GeneChip Mapping 500K Early Access Array (250K_Sty_SNP)','GRCh37.p13,GRCh38,NCBI35,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd118','10090,39442,10091,10096,10092','Mouse,Eastern European house mouse,Western wild mouse,Western European house mouse,Southeastern Asian house mouse','Mus musculus,Mus musculus musculus,Mus musculus castaneus,Mus spretus,Mus musculus domesticus','21921910','Keane_et_al_2011','Control Set','http://www.sanger.ac.uk/resources/mouse/genomes/','We report genome sequences of 17 inbred strains of laboratory mice and identify almost ten times more variants than previously known. We use these genomes to explore the phylogenetic history of the laboratory mouse and to examine the functional consequences of allele-specific variation on transcript abundance, revealing that at least 12% of transcripts show a significant tissue-specific expression bias. By identifying candidate functional variants at 718 quantitative trait loci we show that the molecular nature of functional variants and their position relative to genes vary according to the effect size of the locus. These sequences provide a starting point for a new era in the functional analysis of a key model organism.','Paired-end mapping,Split read mapping,Paired-end mapping,Read depth,Paired-end mapping,Paired-end mapping','Pindel,RetroSeq,BreakDancer,cnD,SECluster','Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing','Illumina,Illumina,Illumina,Illumina,Illumina,Illumina','MGSCv37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd176','9606','Human','Homo sapiens','21479260','Banerjee_et_al_2011','Control Set',null,'We propose a three step computational framework (Identification of germline Changes in Copy Number or IgC2N) to discover and genotype germline CNVs. First, we detect candidate CNV loci by combining information across multiple samples without imposing restrictions to the number of coverage markers or to the variant size. Secondly, we fine tune the detection of rare variants and infer the putative copy number classes for each locus. Last, for each variant we combine the relative distance between consecutive copy number classes with genetic information in a novel attempt to estimate the reference model bias. This computational approach is applied to genome-wide data from 1250 HapMap individuals.','Other','Identification of germline Changes in Copy Number (IgC2N)','SNP array','Affymetrix SNP 6.0','GRCh37.p13,GRCh37,GRCh38,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd180','9606','Human','Homo sapiens','20482838','Pang_et_al_2010','Control Set',null,'Several genomes have now been sequenced, with millions of genetic variants annotated. While significant progress has been made in mapping single nucleotide polymorphisms (SNPs) and small (<10 bp) insertion/deletions (indels), the annotation of larger structural variants has been less comprehensive. It is still unclear to what extent a typical genome differs from the reference assembly, and the analysis of the genomes sequenced to date have shown varying results for copy number variation (CNV) and inversions. RESULTS: We have combined computational re-analysis of existing whole genome sequence data with novel microarray-based analysis, and detect 12,178 structural variants covering 40.6 Mb that were not reported in the initial sequencing of the first published personal genome. We estimate a total non-SNP variation content of 48.8 Mb in a single genome. Our results indicate that this genome differs from the consensus reference sequence by approximately 1.2% when considering indels/CNVs, 0.1% by SNPs and approximately 0.3% by inversions. The structural variants impact 4,867 genes, and >24% of structural variants would not be imputed by SNP-association. CONCLUSIONS: Our results indicate that a large number of structural variants have been unreported in the individual genomes published to date. This significant extent and complexity of structural variants, as well as the growing recognition of their medical relevance, necessitate they be actively studied in health-related analyses of personal genomes. The new catalogue of structural variants generated for this genome provides a crucial resource for future comparison studies.','Paired-end mapping,Probe signal intensity,Probe signal intensity,SNP genotyping analysis,SNP genotyping analysis,Split read mapping,Probe signal intensity',null,'Sequencing,Oligo aCGH,SNP array,Oligo aCGH,Oligo aCGH,Sequencing,SNP array','Sanger Sequencing,Not Submitted,Not Submitted,Not Submitted,Sanger Sequencing,Not Submitted,Not Submitted','GRCh37.p13,GRCh38,GRCh37,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd185','10090','Mouse','Mus musculus','22439878','Yalcin_et_al_2012','Control Set',null,'Accurate catalogues of structural variants (SVs) in mammalian genomes are necessary to give insights into potential mechanism of SV formation and to assess their functional impact. Next generation sequencing methods for SV detection are an advance on array based methods, but are almost exclusively limited to four basic categories: deletions, insertions, inversions and copy number gains, even though there has been an increasing number of complex genomic rearrangements associated with human pathologies. By visual inspection of over a 100 Mb of genome to which next generation sequence data from 17 inbred mouse strains had been aligned, followed by PCR and Sanger-based sequencing, we identify and interpret 21 paired-end mapping (PEM) patterns. These PEM patterns reveal a greater diversity and complexity in SVs than previously recognised. Analysis of breakpoint sequences at 261 SV sites revealed additional complexity at the nucleotide level of about a quarter of structural variants analysed. We found micro-deletions and micro-insertions at SV breakpoints ranging from 1 to 289 base pairs and SNPs that extended micro-homology associated with SV formation. An integrative approach using experimental analyses to train computational SV calling is essential for the accurate resolution of the architecture of SVs. We find considerable complexity in SV formation; about a quarter of SV in the mouse is made of a complex mixture of deletion, insertion, inversion and copy number gain. Computational methods can be adapted to identify most PEM patterns.','Manual observation,Manual observation,Paired-end mapping','Manual observation','Sequencing,Sequencing,PCR','Capillary (Sanger sequencing),PCR,Illumina GAIIx','MGSCv37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd186','9606','Human','Homo sapiens','22693284','Thevenon_et_al_2012','Case-Set',null,'Identification of intragenic rearrangements affecting the CG-1 domain of the CAMTA1 gene, associated with autosomal dominant non-progressive congenital ataxia with or without intellectual diasbility','SNP genotyping analysis,Probe signal intensity,Probe signal intensity','Illumina cnvPartition 3.1.6','SNP array,qPCR,Oligo aCGH','Illumina HumanCytoSnp-12 Beadchip version 2.1,Roche LC-480,Agilent 105K CGH array','GRCh38,NCBI36,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd188','9606','Human','Homo sapiens','21552272','Pinto_et_al_2011','Control Set',null,'We have systematically compared copy number variant (CNV) detection on eleven microarrays to evaluate data quality and CNV calling, reproducibility, concordance across array platforms and laboratory sites, breakpoint accuracy and analysis tool variability. Different analytic tools applied to the same raw data typically yield CNV calls with <50% concordance. Moreover, reproducibility in replicate experiments is <70% for most platforms. Nevertheless, these findings should not preclude detection of large CNVs for clinical diagnostic purposes because large CNVs with poor reproducibility are found primarily in complex genomic regions and would typically be removed by standard clinical data curation. The striking differences between CNV calls from different platforms and analytic tools highlight the importance of careful assessment of experimental design in discovery and association studies and of strict data curation and filtering in diagnostics. The CNV resource presented here allows independent data evaluation and provides a means to benchmark new algorithms.','SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,Probe signal intensity,SNP genotyping analysis,SNP genotyping analysis,Probe signal intensity,Probe signal intensity,Probe signal intensity,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,Probe signal intensity,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,Probe signal intensity,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,Probe signal intensity,Probe signal intensity,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,Probe signal intensity,SNP genotyping analysis,SNP genotyping analysis,Probe signal intensity','PCNV,Nexus,Birdsuite,QSNP,Birdsuite,iPattern,PCNV,Nexus,QSNP,PCNV,iPattern,iPattern,PCNV,cnvPart,cnvPart,Partek,QSNP,ADM2,QSNP,Partek,cnvPart,QSNP,Nexus,ADM2,Nexus,GTC-CN4,dChip,GTC-CN5,dChip,PCNV,cnvPart,PCNV,cnvFinder,QSNP,cnvPart,Nexus,ADM2,cnvPart,iPattern,Nexus,Nexus,PCNV,QSNP,iPattern,cnvPart,dChip,GTC-CN5,iPattern,iPattern','SNP array,SNP array,Oligo aCGH,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,Oligo aCGH,Oligo aCGH,SNP array,SNP array,SNP array,SNP array,SNP array,BAC aCGH,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,Oligo aCGH,SNP array,Oligo aCGH,Oligo aCGH,Oligo aCGH,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,BAC aCGH,Oligo aCGH,SNP array,SNP array,SNP array','Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified,Not specified','GRCh37.p13,GRCh37,GRCh38,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd19','9606','Human','Homo sapiens','19470904','Ahn_et_al_2009','Control Set',null,'We sequenced the genome of one Korean individual to 28.95-fold redundancy using Illumina paired-end sequencing. We identified 4298 structural variants.','Read depth and paired-end mapping',null,'Sequencing','Illumina Genome Analyzer','GRCh37.p13,NCBI36,GRCh37,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd192','9606','Human','Homo sapiens','18428421,20952405','COSMIC','Collection','http://cancer.sanger.ac.uk/cancergenome/projects/cosmic/','Catalogue of Somatic Mutations in Cancer (COSMIC) version 71 - All cancers arise as a result of the acquisition of a series of fixed DNA sequence abnormalities, mutations, many of which ultimately confer a growth advantage upon the cells in which they have occurred. There is a vast amount of information available in the published scientific literature about these changes. COSMIC is designed to store and display somatic mutation information and related details and contains information relating to human cancers.','Curated',null,'Curated','Curated','GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd193','9606','Human','Homo sapiens','16254605','Feuk_et_al_2005','Control Set',null,'With a draft genome-sequence assembly for the chimpanzee available, it is now possible to perform genome-wideanalyses to identify, at a submicroscopic level, structural rearrangements that have occurred between chimpanzeesand humans. The goal of this study was to investigate chromosomal regions that are inverted between the chimpanzeeand human genomes. Using the net alignments for the builds of the human and chimpanzee genome assemblies, weidentified a total of 1,576 putative regions of inverted orientation, covering more than 154 mega-bases of DNA. TheDNA segments are distributed throughout the genome and range from 23 base pairs to 62 mega-bases in length. Forthe 66 inversions more than 25 kilobases (kb) in length, 75% were flanked on one or both sides by (often unrelated)segmental duplications. Using PCR and fluorescence in situ hybridization we experimentally validated 23 of 27 (85%)semi-randomly chosen regions; the largest novel inversion confirmed was 4.3 mega-bases at human Chromosome7p14. Gorilla was used as an out-group to assign ancestral status to the variants. All experimentally validated inversionregions were then assayed against a panel of human samples and three of the 23 (13%) regions were found to bepolymorphic in the human genome. These polymorphic inversions include 730 kb (at 7p22), 13 kb (at 7q11), and 1 kb(at 16q24) fragments with a 5%, 30%, and 48% minor allele frequency, respectively. Our results suggest that inversionsare an important source of variation in primate genome evolution. The finding of at least three novel inversionpolymorphisms in humans indicates this type of structural variation may be a more common feature of our genomethan previously realized.','Manual observation,Manual observation',null,'FISH,PCR','Fluorescent In-Situ Hybridization Instruments,Applied Biosystem GeneAmp 9700','GRCh38,NCBI35,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd194','9606','Human','Homo sapiens','18987734','Bentley_et_al_2008','Control Set',null,'DNA sequence information underpins genetic research, enabling discoveries of important biological or medical benefit. Sequencing projects have traditionally used long (400-800 base pair) reads, but the existence of reference sequences for the human and many other genomes makes it possible to develop new, fast approaches to re-sequencing, whereby shorter reads are compared to a reference to identify intraspecies genetic variation. Here we report an approach that generates several billion bases of accurate nucleotide sequence per experiment at low cost. Single molecules of DNA are attached to a flat surface, amplified in situ and used as templates for synthetic sequencing with fluorescent reversible terminator deoxyribonucleotides. Images of the surface are analysed to generate high-quality sequence.We demonstrate application of this approach to human genome sequencing on flow-sorted X chromosomes and then scale the approach to determine the genome sequence of a male Yoruba from Ibadan, Nigeria. We build an accurate consensus sequence from.303 average depth of paired 35-base reads. We characterize four million single-nucleotide polymorphisms and four hundred thousand structural variants, many of which were previously unknown. Our approach is effective for accurate, rapid and economical whole-genome re-sequencing and many other biomedical applications.','Paired-end mapping,Split read mapping','ELAND SV Calling,MAQ InDel Calling','Sequencing,Sequencing','Not specified,Not specified','GRCh37.p13,GRCh37,NCBI36,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd195','9606','Human','Homo sapiens','20811451','Altshuler_et_al_2010','Control Set',null,'Despite great progress in identifying genetic variants that influence human disease,most inherited risk remains unexplained. A more complete understanding requires genome-wide studies that fully examine less common alleles in populations with a wide range of ancestry. To inform the design and interpretation of such studies, we genotyped 1.6 million common single nucleotide polymorphisms (SNPs) in 1,184 reference individuals from 11 global populations, and sequenced ten 100-kilobase regions in 692 of these individuals. This integrated data set of common and rare alleles, called ''HapMap 3'', includes both SNPs and copy number polymorphisms (CNPs). We characterized population-specific differences among low-frequency variants, measured the improvement in imputation accuracy afforded by the larger reference panel, especially in imputing SNPs with a minor allele frequency of less than or equal to 5%, and demonstrated the feasibility of imputing newly discovered CNPs and SNPs. This expanded public resource of genome variants in global populations supports deeper interrogation of genomic variation and its role in human disease, and serves as a step towards a high-resolution map of the landscape of human genetic variation.','SNP genotyping analysis','QuantiSNP, Birdseye','SNP array','Not specified','GRCh37.p13,NCBI36,GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd196','9606','Human','Homo sapiens','17116639','Simon-Sanchez_et_al_2007','Control Set',null,'The recent hapmap effort has placed focus on the application of genome-wide SNP analysis to assess the contribution of genetic variability, particularly SNPs, to traits such as disease. Here, we describe the utility of genome-wide SNP analysis in the direct detection of extended homozygosity and structural genomic variation. We use this approach to assess the frequency of genomic alterations resulting from the lymphoblast immortalization and culture processes commonly used in cell repositories. We have assayed 408 804 SNPs in 276 DNA samples extracted from Epstein-Barr virus immortalized cell lines, which were derived from lymphocytes of elderly neurologically normal subjects. These data reveal extended homozygosity (contiguous tracts >5 Mb) in 9.5% (26/272) and 340 structural genomic alterations in 182 (66.9%) DNA samples assessed, 66% of which did not overlap with previously described structural variations. Examination of DNA extracted directly from the blood of 30 of these subjects confirmed all examined instances of extended homozygosity (6/6), 75% of structural genomic alteration <5 Mb in size (12/16) and 13% (1/8) of structural genomic alteration >5 Mb in size. These data suggest that structural genomic variation is a common phenomenon in the general population. While a proportion of this variability may be caused or its relative abundance altered by the immortalization and clonal process this will have only a minor effect on genotype and allele frequencies in a large cohort. It is likely that this powerful methodology will augment existing techniques in the identification of chromosomal abnormalities.','SNP genotyping analysis,Other','GenomeViewer tool within BeadStudio v2.2.22','SNP array,qPCR','Not specified,Applied Biosystems TaqMan','GRCh37.p13,NCBI35,GRCh37,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd197','9606','Human','Homo sapiens','19546169','McKernan_et_al_2009','Control Set',null,'We describe the genome sequencing of an anonymous individual of African origin using a novel ligation-based sequencing assay that enables a unique form of error correction that improves the raw accuracy of the aligned reads to greater than 99.9%, allowing us to accurately call SNPs with as few as two reads per allele. We collected several billion mate-paired reads yielding 18x haploid coverage of aligned sequence and close to 300x clone coverage. Over 98% of the reference genome is covered with at least one uniquely placed read, and 99.65% is spanned by at least one uniquely placed matepaired clone. We identify over 3.8 million SNPs, 19% of which are novel. Mate-paired data are used to physically resolve haplotype phases of nearly two-thirds of the genotypes obtained and produce phased segments of up to 215 kb. We detect 226,529 intra-read indels, 5590 indels between mate-paired reads, 91 inversions, and four gene fusions. We use a novel approach for detecting indels between mate-paired reads that are smaller than the standard deviation of the insert size of the library and discover deletions in common with those detected with our intra-read approach. Dozens of mutations previously described in OMIM and hundreds of nonsynonymous single-nucleotide and structural variants in genes previously implicated in disease are identified in this individual. There is more genetic variation in the human genome still to be uncovered, and we provide guidance for future surveys in populations and cancer biopsies.','Paired-end mapping,Paired-end mapping,Read depth,Split read mapping','AB Inversion Tool,AB Small indel tool,AB_SOLiD Large Indel Tool,SOLiD Human CNV Tool','Sequencing,Sequencing,Sequencing,Sequencing','Not specified,Not specified,Not specified,Not specified','GRCh37.p13,GRCh38,GRCh37,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd198','9606','Human','Homo sapiens','23635498','Chia_et_al_2012','Control Set',null,'We performed high density array analysis of 64 unrelated healthy Caucasian females using Illumina Omni1-Quad SNP microarray. Two CNV detection algorithms were applied to the raw data and the calls were merged to ensure a robust analysis of copy number variation. The results of a comprehensive investigation of CNVs on chromosome 18 in relation to distribution, incidence, gene density, population frequency and association with genomic architecture are described. Two CNV regions were confirmed by sequencing and precise breakpoints defined demonstrating a 2bp microhomology at the breakpoint junction of both CNVs. The investigation of associations of CNVs with repetitive elements on chromosome 18 shows that one third do not involve breakpoints in repeat sequences and the results of investigations suggests that the mechanism of derivation of CNVs in the normal population may be multi-factorial. The population frequencies of two CNVs were determined using a simple screening test that was designed to differentiate genotypes. This is the first specific investigation of CNVs on chromosome 18 with high resolution microarray of normal individuals using DNA extracted from whole blood.','Manual observation,Sequence alignment,SNP genotyping analysis,Merging,Manual observation,Manual observation,SNP genotyping analysis','PennCNV,CNV Partition','Karyotyping,PCR,Merging,Sequencing,SNP array,PCR,SNP array','Not specified,IlluminaOmni1-QUAD,Not specified,IlluminaOmni1-QUAD,Merging,Not specified,Not specified','GRCh37.p13,GRCh38,GRCh37,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd199','9606','Human','Homo sapiens','23128226','1000_Genomes_Consortium_Phase_1','Control Set','http://www.1000genomes.org','Through characterising the geographic and functional spectrum of human genetic variation, the 1000 Genomes Project aims to build a resource to help understand the genetic contribution to disease. Following from the Pilot Phase, in which we established the key principles underlying the project design, we now report on the genomes of 1,092 individuals drawn from 14 populations, constructed using a combination of low-coverage whole- genome and exome targeted sequencing. By developing methodologies to combine information across multiple algorithms and diverse data sources we provide an integrated and validated haplotype map of 38 million SNPs, 1.4 million indels and over 14 thousand larger deletions. We show how individuals from different populations have different profiles of rare and common variants and that low-frequency variants show elevated geographic differentiation, which is further increased by the action of purifying selection. By measuring the excess of rare alleles, we show that evolutionary conservation and coding consequence are key determinants of the strength of purifying selection, and that rare- variant load varies substantially across biological pathways. We show that each individual harbours hundreds of rare, non-coding variants, such as transcription-factor-motif disrupting changes at conserved sites. This resource, which captures up to 98% of variants at 1% frequency in populations of medical genetics focus, enables imputation of common and low-frequency variants in individuals from diverse, including admixed, populations.','Read depth and paired-end mapping,Genotyping,Paired-end mapping,Probe signal intensity,Read depth,Merging,Paired-end mapping,Split read mapping,Genotyping,Probe signal intensity,Other','Genome STRiP,Beagle, Thunder,DELLY,Genome STRiP, Beagle, Thunder,Pindel,BreakDancerMax1.1,CNVnator 0.2.2','Sequencing,SNP array,Sequencing,Sequencing,Sequencing,PCR,Merging,Oligo aCGH,Sequencing,Sequencing,Sequencing','Illumina Genome Analyzer,Genome Analyzer II,Genome Analyzer IIx,HiSeq 2000,Illumina Omni 2.5,Illumina Genome Analyzer,Genome Analyzer II,Genome Analyzer IIx,HiSeq 2000,Illumina Genome Analyzer,Genome Analyzer II,Genome Analyzer IIx,HiSeq 2000,Illumina Genome Analyzer,Genome Analyzer II,Genome Analyzer IIx,HiSeq 2000,PTC-225 DNA Engine Tetrad Cycler (Biorad),Merging,Agilent 2x1M CGH Microarray,Illumina Genome Analyzer,Genome Analyzer II,Genome Analyzer IIx,HiSeq 2000,Illumina Genome Analyzer,Genome Analyzer II,Genome Analyzer IIx,HiSeq 2000,Illumina Genome Analyzer,Genome Analyzer II,Genome Analyzer IIx,HiSeq 2000,Roche 454 GS-FLX+,AB SOLi','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd20','9606','Human','Homo sapiens','19812545','Conrad_et_al_2009','Control Set',null,'Structural variations of DNA greater than 1 kilobase in size account for most bases that vary among human genomes, but are still relatively under-ascertained. Here we use tiling oligonucleotide microarrays, comprising 42 million probes, to generate a comprehensive map of 11,700 copy number variations (CNVs) greater than 443 base pairs, of which most (8,599) have been validated independently. For 4,978 of these CNVs, we generated reference genotypes from 450 individuals of European, African or East Asian ancestry. The predominant mutational mechanisms differ among CNV size classes. Retrotransposition has duplicated and inserted some coding and non-coding DNA segments randomly around the genome. Furthermore, by correlation with known trait-associated single nucleotide polymorphisms (SNPs), we identified 30 loci with CNVs that are candidates for influencing disease susceptibility. Despite this, having assessed the completeness of our map and the patterns of linkage disequilibrium between CNVs and SNPs, we conclude that, for complex traits, the heritability void left by genome-wide association studies will not be accounted for by common CNVs.','Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity','GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA,GADA','Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH','Sanger H. Sapiens 42mCGH Array 5781_53 726K v1,Sanger H. Sapiens 42mCGH Array 5766_39 726K v1,Sanger H. Sapiens 42mCGH Array 5733_5 726K v1,Sanger H. Sapiens 42mCGH Array 5739_12 726K v1,Sanger H. Sapiens 42mCGH Array 5742_13 726K v1,Sanger H. Sapiens 42mCGH Array 5730_1 726K v1,Sanger H. Sapiens 42mCGH Array 5772_44 726K v1,Sanger H. Sapiens 42mCGH Array 5784_55 726K v1,Sanger H. Sapiens 42mCGH Array 5745_16 726K v1,Sanger H. Sapiens 42mCGH Array 5772_45 726K v1,Sanger H. Sapiens 42mCGH Array 5736_7 726K v1,Sanger H. Sapiens 42mCGH Array 5751_22 726K v1,Sanger H. Sapiens 42mCGH Array 5787_59 726K v1,Sanger H. Sapiens 42mCGH Array 5775_46 726K v1,Sanger H. Sapiens 42mCGH Array 5754_25 726K v1,Sanger H. Sapiens 42mCGH Array 5772_43 726K v1,Sanger H. Sapiens 42mCGH Array 5745_18 726K v1,Sanger H. Sapiens 42mCGH Array 5784_57 726K v1,Sanger H. Sapiens 42mCGH Array 5763_34 726K v1,Sanger H. Sapiens 42mCGH Array 5751_24 726K v1,Sanger H. Sapiens 42mCGH Array 5736_8 726K v1,Sanger H. Sapiens 42mCGH Array 5763_36 726K v1,Sanger H. Sapiens 42mCGH Array 5769_41 726K v1,Sanger H. Sapiens 42mCGH Array 5766_37 726K v1,Sanger H. Sapiens 42mCGH Array 5757_30 726K v1,Sanger H. Sapiens 42mCGH Array 5787_60 726K v1,Sanger H. Sapiens 42mCGH Array 5778_49 726K v1,Sanger H. Sapiens 42mCGH Array 5781_54 726K v1,Sanger H. Sapiens 42mCGH Array 5760_31 726K v1,Sanger H. Sapiens 42mCGH Array 5736_9 726K v1,Sanger H. Sapiens 42mCGH Array 5742_15 726K v1,Sanger H. Sapiens 42mCGH Array 5760_32 726K v1,Sanger H. Sapiens 42mCGH Array 5778_50 726K v1,Sanger H. Sapiens 42mCGH Array 5766_38 726K v1,Sanger H. Sapiens 42mCGH Array 5751_23 726K v1,Sanger H. Sapiens 42mCGH Array 5787_58 726K v1,Sanger H. Sapiens 42mCGH Array 5769_40 726K v1,Sanger H. Sapiens 42mCGH Array 5778_51 726K v1,Sanger H. Sapiens 42mCGH Array 5733_4 726K v1,Sanger H. Sapiens 42mCGH Array 5760_33 726K v1,Sanger H. Sapiens 42mCGH Array 5757_29 726K v1,Sanger H. Sapiens custom Agilent 105kCGH CNV Genotyping Array AMADID021270,Sanger H. Sapiens 42mCGH Array 5748_21 726K v1,Sanger H. Sapiens 42mCGH Array 5739_11 726K v1,Sanger H. Sapiens 42mCGH Array 5754_27 726K v1,Sanger H. Sapiens 42mCGH Array 5754_26 726K v1,Sanger H. Sapiens 42mCGH Array 5745_17 726K v1,Sanger H. Sapiens 42mCGH Array 5763_35 726K v1,Sanger H. Sapiens 42mCGH Array 5781_52 726K v1,Sanger H. Sapiens 42mCGH Array 5739_10 726K v1,Sanger H. Sapiens 42mCGH Array 5733_6 726K v1,Sanger H. Sapiens 42mCGH Array 5757_28 726K v1,Sanger H. Sapiens 42mCGH Array 5775_48 726K v1,Sanger H. Sapiens 42mCGH Array 5775_47 726K v1,Sanger H. Sapiens 42mCGH Array 5769_42 726K v1,Sanger H. Sapiens 42mCGH Array 5748_19 726K v1,Sanger H. Sapiens 42mCGH Array 5784_56 726K v1,Sanger H. Sapiens 42mCGH Array 5748_20 726K v1,Sanger H. Sapiens 42mCGH Array 5730_2 726K v1,Sanger H. Sapiens 42mCGH Array 5730_3 726K v1,Sanger H. Sapiens 42mCGH Array 5742_14 726K v1','GRCh37.p13,NCBI36,GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd200','10090','Mouse','Mus musculus','22916792','Wong_et_al_2012','Control Set',null,'The FVB/NJ mouse strain has its origins in a colony of outbred Swiss mice established in 1935 at the National Institutes of Health (NIH). Subsequent selective breeding for sensitivity to histamine diphosphate and the B strain of Friend leukemia virus led to the establishment of the FVB/N inbred strain, which was imported to the Jackson Laboratory and designated FVB/NJ. The FVB/NJ mouse has several distinct characteristics, such as large pronuclear morphology, vigorous reproductive performance, and consistently large litters that make it highly desirable for transgenic strain production and general purpose use. Using next-generation sequencing technology, we have sequenced the genome of FVB/NJ to approximately 50-fold coverage, and have generated a comprehensive catalogue of single nucleotide polymorphisms (SNPs), small insertion/deletions (indels), and structural variants (SVs), relative to the reference C57BL/6J genome. The sequencing and generation of this catalogue will help accelerate the identification of the precise molecular variants that are responsible for phenotypes observed in the FVB/NJ strain. We have examined a previously identified quantitative trait locus for atherosclerosis susceptibility on chromosome 10 and identify several previously unknown candidate causal variants.','Merging,Local sequence assembly,Merging,Paired-end mapping,Merging,Paired-end mapping,Merging,Merging,Merging,Merging,Paired-end mapping,Merging,Paired-end mapping,Read depth,Merging','PatternCheck,BreakDancer,SECluster,RetroSeq,SVmerge,cnD','Merging,Merging,Sequencing,Sequencing,Merging,Sequencing,Sequencing,Merging,Merging,Merging,Merging,Sequencing,Merging,Merging,Sequencing','Merging,Merging,Illumina HiSeq,Illumina HiSeq,Illumina HiSeq,Merging,Merging,Merging,Merging,Merging,Merging,Illumina HiSeq,Illumina HiSeq,Merging,Illumina HiSeq','MGSCv37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd201','9606','Human','Homo sapiens','23290073','Wong_et_al_2012b','Control Set',null,'Whole-genome sequencing across multiple samples in a population provides an unprecedented opportunity to comprehensively characterize the polymorphic variants in the population. While the 1000 Genomes Project (1KGP) has offered brief insights into the value of population-level sequencing, the low coverage inadvertently compromised the ability to confidently detect rare and low-frequency variants. In addition, the composition of populations in the 1KGP is not complete, despite the extension of the study design to more than 2,500 samples from more than 20 population groups. The Malays are one of the Austronesian groups predominantly present in Southeast Asia and Oceania, and the Singapore Sequencing Malay Project (SSM) aims to perform deep whole-genome sequencing of 100 healthy Malays. Sequencing at an average of 30-fold coverage, we illustrate the higher sensitivity at detecting low-frequency and rare variants, and the ability to investigate the presence of hotspots of functional mutations. The deeper coverage allows more functional variants to be identified for each person when compared to the low-pass sequencing in 1KGP. This set of whole-genome sequence data is expected to be the benchmark for evaluating the value of deep population-level sequencing versus low-pass sequencing, especially in populations that are poorly represented in population genetic studies. We also expect the high coverage will enable methodological and technological assessments of current strategies in sequence data analysis.','Paired-end mapping','Breakdancer, VariationHunter','Sequencing','Illumina HiSeq 2000','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd203','9606','Human','Homo sapiens','21179565','Vogler_et_al_2010','Control Set',null,'In this study a cross-population microarray-based map of copy-number variant regions (CNVRs) was generated. We used the Affymetrix Genome-Wide Human SNP Array 6.0 to scan the genomes of 1167 individuals from two ethnically distinct populations (Europe, N = 717; Rwanda, N = 450). Three different CNV-finding algorithms were tested and compared for sensitivity, specificity, and feasibility. Two algorithms were subsequently used to construct CNVR maps, which were also validated by processing subsamples with additional microarray platforms (Illumina 1M-Duo BeadChip, Nimblegen 385K aCGH array) and by comparing our data with publicly available information.','SNP genotyping analysis,Merging,SNP genotyping analysis','PennCNV,Birdseye','SNP array,Merging,SNP array','Affymetrix 6.0 Human SNP Array,Merging,Affymetrix 6.0 Human SNP Array','GRCh37.p13,GRCh38,NCBI36,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd204','10090','Mouse','Mus musculus','23902802','Simon_et_al_2013','Control Set',null,'A study of phenotypic and genomic differences between C57BL/6J and C57BL/6N inbred mouse strains','Paired-end mapping,Manual observation',null,'Sequencing,PCR','Illumina,PCR','MGSCv37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd205','7227','Fruit fly','Drosophila melanogaster','23222910','Zichner_et_al_2012','Control Set',null,'Genomic structural variation (SV) is a major determinant for phenotypic variation. Here, we report a highly accurate, densely validated map of unbalanced SVs comprising 8962 deletions and 916 tandem duplications in 39 Drosophila lines derived from a natural population (the "Drosophila melanogaster Genetic Reference Panel," DGRP). Most SVs (>90%) were inferred at nucleotide resolution, and a large fraction was genotyped across all samples. Based on this set of variants, we analyzed the formation mechanisms, genomic hotspots, and the phenotypic effect of SVs in Drosophila. Furthermore, we investigated SVs of three laboratory strain samples.','Merging,Split read and paired-end mapping,Merging,Merging,Split read mapping,Read depth and paired-end mapping,Read depth,Split read mapping,Read depth and paired-end mapping,Merging,Split read and paired-end mapping,Read depth','To combine inferred SVs from the different methods, we first merged the predictions of all 3 laborat,CNVnator,DELLY,CNVnator,Genome STRiP,Pindel,Pindel,Genome STRiP,To combine inferred SVs from the different methods, we first merged the predictions of all 3 laborat,To combine inferred SVs from the different methods, we first merged the predictions of all 39 sample,To combine inferred SVs from the different methods, we first merged the predictions of all 39 sample,DELLY','Merging,Sequencing,Sequencing,Sequencing,Merging,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Merging,Merging','Merging,Illumina GAIIx,Illumina GAIIx,Illumina GAIIx/HiSeq 2000,Illumina GAIIx/HiSeq 2000,Illumina GAIIx,Illumina GAIIx,Illumina GAIIx/HiSeq 2000,Merging,Merging,Illumina GAIIx/HiSeq 2000,Merging','Release 5'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd206','9606','Human','Homo sapiens','24827138','Nagirnaja_et_al_2013','Case-Control',null,'The study aimed to determine the contribution of copy number variants in the genetic etiology of recurrent miscarriage (RM; defined as ≥3 consecutive miscarriages before gestational week 22).','Other,Other,Probe signal intensity','QuantiSNP, PennCNV','qPCR,qPCR,SNP array','Custom DNA primers and Applied Biosystems pre-designed TaqMan Copy Number reference assay,Illumina Human370CNV-Quad,Applied Biosystems pre-designed TaqMan Copy Number assays','GRCh37.p13,GRCh38,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd208','9606','Human','Homo sapiens','24281369','Helbig_et_al_2013','Case-Set',null,'Genetics and particularly Copy Number Variations (CNVs) have emerged as significant genetic risk factors for epilepsy. This study aimed to clarify the relevance of CNVs in patients with unclassified epilepsies and complex phenotypes. In total 222 patients from three European countries, including patients with structural lesions on magnetic resonance imaging (MRI), dysmorphic features, and multiple congenital anomalies (MCA), were clinically evaluated and screened for CNVs. Array CGH uncovered 88 rare CNV). We conclude that Genome-wide screening methods for rare CNVs may provide clues for the genetic etiology in patients with a broad range of epilepsies.','SNP genotyping analysis,SNP genotyping analysis,Probe signal intensity,SNP genotyping analysis',null,'SNP array,SNP array,SNP array,Oligo aCGH','Affymetrix 6.0,Affymetrix 6.0,Affymetrix 6.0,Agilent 105K/180K','GRCh37.p13,NCBI36,GRCh37,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd209','9606','Human','Homo sapiens','24192839','Pang_et_al_2013b','Control Set',null,'We observed that current high-throughput sequencing approaches only detected a fraction of the full size-spectrum of insertions, deletions and copy number variants when compared to a previously published, Sanger sequenced human genome. The sensitivity for detection was the lowest in the 100-10,000bp size range, and at DNA repeats, with copy number gains harder to delineate than losses. We discuss strategies for discovering the full spectrum of genetic variation necessary for disease association studies.','Paired-end mapping,Split read mapping,Read depth',null,'Sequencing,Sequencing,Sequencing','Complete Genomics,Complete Genomics,Complete Genomics','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd21','9606','Human','Homo sapiens','18421352','Wheeler_et_al_2008','Control Set',null,'The association of genetic variation with disease and drug response, and improvements in nucleic acid technologies, have given great optimism for the impact of ''genomic medicine''. However, the formidable size of the diploid human genome, approximately 6 gigabases, has prevented the routine application of sequencing methods to deciphering complete individual human genomes. To realize the full potential of genomics for human health, this limitation must be overcome. Here we report the DNA sequence of a diploid genome of a single individual, <NAME>, sequenced to 7.4-fold redundancy in two months using massively parallel sequencing in picolitre-size reaction vessels. This sequence was completed in two months at approximately one-hundredth of the cost of traditional capillary electrophoresis methods. Comparison of the sequence to the reference genome led to the identification of 3.3 million single nucleotide polymorphisms, of which 10,654 cause amino-acid substitution within the coding sequence. In addition, we accurately identified small-scale (2-40,000 base pair (bp)) insertion and deletion polymorphism as well as copy number variation resulting in the large-scale gain and loss of chromosomal segments ranging from 26,000 to 1.5 million base pairs. Overall, these results agree well with recent results of sequencing of a single individual by traditional methods. However, in addition to being faster and significantly less expensive, this sequencing technology avoids the arbitrary loss of genomic sequences inherent in random shotgun sequencing by bacterial cloning because it amplifies DNA in a cell-free system. As a result, we further demonstrate the acquisition of novel human sequence, including novel genes not previously identified by traditional genomic sequencing. This is the first genome sequenced by next-generation technologies. Therefore it is a pilot for the future challenges of ''personalized genome sequencing''.','Probe signal intensity,Probe signal intensity,Probe signal intensity,Read depth','CGH_Analytics_Software,CGH_Analytics_Software','Oligo aCGH,Sequencing,Oligo aCGH,Oligo aCGH','Nimblegen HD2 Microarray,Agilent-014584 Human Genome 244K CGH Microarray (Alpha Test),Agilent-014584 Human Genome 244K CGH Microarray (Alpha Test),Roche 454','GRCh37.p13,GRCh37,GRCh38,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd212','9606','Human','Homo sapiens','25503493','Uddin_et_al_2014','Control Set',null,'We have genotyped a large population control set (1,000 individuals from our Ontario Population Genomics Platform (OPGP)) using the Affymetrix CytoScan HD microarray comprising 2.7 million probes. Four independent algorithms were applied to detect and assess high confidence CNVs. Reproducibility and validations were quantified using sample replicates and Quantitative-PCR (QPCR), respectively.','Probe signal intensity','ChAS','SNP array','Affymetrix CytoScan HD 2.7M array','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd213','9606','Human','Homo sapiens','24956385','Mokhtar_et_al_2014','Control Set',null,'Copy number variation (CNV) has been recognized as a major contributor to human genome diversity. It plays an important role in determining phenotypes and has been associated with a number of common and complex diseases. However CNV data from diverse populations is still limited. Here we report the first investigation of CNV in the indigenous populations from Peninsular Malaysia. We genotyped 34 Negrito genomes from Peninsular Malaysia using the Affymetrix SNP 6.0 microarray and identified 48 putative novel CNVs, consisting of 24 gains and 24 losses, of which 5 were identified in at least 2 unrelated samples. These CNVs appear unique to the Negrito population and were absent in the DGV, HapMap3 and Singapore Genome Variation Project (SGVP) datasets.','Probe signal intensity','Affymetrix GTC, Birdsuite and iPattern','SNP array','Affymetrix Genome-Wide Human SNP Array 6.0','GRCh37.p13,GRCh38,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd214','9606','Human','Homo sapiens','26432245','1000_Genomes_Consortium_Phase_3','Control Set','http://www.1000genomes.org/','This study contains the structural variants from the combined release set which contains more than 79 million variant sites and includes not just biallelic snps but also indels, deletions, complex short substitutions and other structural variant classes. It is based on data from 2504 unrelated individuals from 26 populations around the world.','Read depth and paired-end mapping',null,'Sequencing','Multiple platforms','GRCh38,GRCh38.p2,GRCh38.p2,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd215','9606','Human','Homo sapiens','23714750','GoNL','Control Set','http://www.nlgenome.nl/','GoNL is a whole-genome-sequencing project in a representative sample consisting of 250 trio-families from all provinces in the Netherlands, which aims to characterize DNA sequence variation in the Dutch population. The parent-offspring trios include adult individuals ranging in age from 19 to 87 years (mean=53 years; SD=16 years) from birth cohorts 1910-1994','Sequence alignment','Genome Analysis Toolkit (GATK) BreakDancer, Pindel,24 GenomeSTRiP, CNVnator, 123SV and DWAC-seq','Sequencing','Illumina HiSeq 2000','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd216','9606','Human','Homo sapiens','25666259','Kasak_et_al_2014','Case-Control',null,'The study aimed to determine the contribution of copy number variants in the genetic etiology of normal and complicated pregnancies. The samples represented (i) maternal blood DNA drawn from healthy pregnant women during 1st or 2nd trimester and (ii) maternal and paternal blood DNA drawn at term pregnancy cases representing normal and complicated gestations (severe preeclampsia, PE; gestational diabetes, GD; small-for-gestational age newborn, SGA; large-for-gestational age newborn, LGA). We performed CNV calling based on genome-wide genotyping dataset (Illumina HumanOmniExpress-24-v1 BeadChip) by applying three algorithms, QuantiSNP, GADA (Genome Alteration Detection Algorithm) and CNstream in parallel. The acquired CNV calls were merged with HD-CNV (Hotspot Detector for Copy Number Variants) program and only the CNVs predicted by at least two programs, were considered in subsequent analysis.','Probe signal intensity','QuantiSNP, GADA, CNstream','SNP array','Illumina HumanOmniExpress Beadchip','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd218','9606','Human','Homo sapiens','25585696','Simpson_et_al_2015','Case-Set',null,'An-exploratory genome-wide copy number variant (CNV) study was performed in 127 independent cases with specific language impairment (SLI) and their first-degree relatives (385 individuals).','Probe signal intensity,Probe signal intensity',null,'SNP array,qPCR','Illumina HumanOmniExpress-12v1 Beadchip,Unspecified','GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd219','9606','Human','Homo sapiens','26432246','1000_Genomes_Consortium_Phase_3_Integrated_SV','Control Set',null,'Structural variations discovered from the phase3 sequence data of the 1000 Genomes Project.','Read depth and paired-end mapping,Read depth,Merging,Paired-end mapping,Paired-end mapping,Split read mapping,Paired-end mapping,Read depth,Read depth and paired-end mapping','Genome STRiP,Melt,CNVnator,Pindel,BreakDancerMax,DELLY,NumtS ,SSF','Sequencing,Sequencing,Merging,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing','Illumina Genome Analyzer,Genome Analyzer II,Genome Analyzer IIx,HiSeq 2000,Illumina Genome Analyzer,Genome Analyzer II,Genome Analyzer IIx,HiSeq 2000,Illumina Genome Analyzer,Genome Analyzer II,Genome Analyzer IIx,HiSeq 2000,Illumina Genome Analyzer,Genome Analyzer II,Genome Analyzer IIx,HiSeq 2000,Illumina Genome Analyzer,Genome Analyzer II,Genome Analyzer IIx,HiSeq 2000,Illumina Genome Analyzer,Genome Analyzer II,Genome Analyzer IIx,HiSeq 2000,Illumina Genome Analyzer,Genome Analyzer II,Genome Analyzer IIx,HiSeq 2000,Illumina Genome Analyzer,Genome Analyzer II,Genome Analyzer IIx,HiSeq 2000,Merging','GRCh37.p4,GRCh38.p3'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd22','9606','Human','Homo sapiens','17803354','Levy_et_al_2007','Control Set','http://huref.jcvi.org/','Presented here is a genome sequence of an individual human. It was produced from 32 million random DNA fragments, sequenced by Sanger dideoxy technology and assembled into 4,528 scaffolds, comprising 2,810 million bases (Mb) of contiguous sequence with approximately 7.5-fold coverage for any given region. We developed a modified version of the Celera assembler to facilitate the identification and comparison of alternate alleles within this individual diploid genome. Comparison of this genome and the National Center for Biotechnology Information human reference assembly revealed more than 4.1 million DNA variants, encompassing 12.3 Mb. These variants (of which 1,288,319 were novel) included 3,213,401 single nucleotide polymorphisms (SNPs), 53,823 block substitutions (2-206 bp), 292,102 heterozygous insertion/deletion events (indels)(1-571 bp), 559,473 homozygous indels (1-82,711 bp), 90 inversions, as well as numerous segmental duplications and copy number variation regions. Non-SNP DNA variation accounts for 22% of all events identified in the donor, however they involve 74% of all variant bases. This suggests an important role for non-SNP genetic alterations in defining the diploid genome structure. Moreover, 44% of genes were heterozygous for one or more variants. Using a novel haplotype assembly strategy, we were able to span 1.5 Gb of genome sequence in segments .200 kb, providing further precision to the diploid nature of the genome. These data depict a definitive molecular portrait of a diploid human genome that provides a starting point for future genome comparisons and enables an era of individualized genomic information.','Probe signal intensity,Merging,Sequence alignment,SNP genotyping analysis,Probe signal intensity,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis','CNVFinder,QuantiSNP,CGH_Analytics_Software,dCHIP,CNAG,CNAG,CNVFinder,CNVFinder,dCHIP','Oligo aCGH,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,Oligo aCGH,Sequencing,Merging','Not Reported,[Mapping250K_Sty] Affymetrix Mapping 250K Sty2 SNP Array,[Mapping250K_Sty] Affymetrix Mapping 250K Sty2 SNP Array,[Mapping250K_Nsp] Affymetrix Mapping 250K Nsp SNP Array,[Mapping250K_Nsp] Affymetrix Mapping 250K Nsp SNP Array,[Mapping250K_Sty] Affymetrix Mapping 250K Sty2 SNP Array,[Mapping250K_Nsp] Affymetrix Mapping 250K Nsp SNP Array,Not Reported,Not Reported,Illumina HumanHap650Y Genotyping BeadChip,Sanger Sequencing','GRCh37.p13,GRCh38,GRCh37,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd221','9606','Human','Homo sapiens','25853576','Palta_et_al_2015','Control Set',null,'The study aimed to: i) call copy number variants (CNVs) from Yoruban and Estonian family trios ii) phase called CNV regions in families; iii) determine allelic variability in unambiguously phased CNV regions.','Probe signal intensity,Probe signal intensity','QuantiSNP, PennCNV,QuantiSNP, PennCNV','SNP array,SNP array','Illumina Infinium Human370CNV-Quad DNA Analysis BeadChip (Illumina 370K),Illumina Infinium Human1M-Duo DNA Analysis BeadChip (Illumina 1M)','NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd222','9606','Human','Homo sapiens','25966632','Franke_et_al_2015','Case-Control',null,'Segmental duplications (SD) comprise about 5% of the human genome and are enriched for immune genes. SD loci often show copy numbers variations (CNV), which are difficult to tag with genotyping methods. CNV in the Fcγ-receptor region (FCGR) has been suggested to be associated with rheumatic diseases. The objective of this study was to delineate association of FCGR-CNV with rheumatoid arthritis (RA), celiac disease and Inflammatory bowel disease incidence.','SNP genotyping analysis',null,'SNP array','Illumina Immunochip','GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd223','9913','Cow','Bos taurus','26317361','Boussaha_et_al_2015','Control Set',null,'In this study, we performed a large scale study to investigate large SVs (> 50 bp) in cattle by sequencing the whole-genome of 62 bulls from the three major dairy breeds in France (Holstein, Montbeliarde and Normande breeds). SV search was performed using Pindel softaware. We report the identification at a single-nucleotide resolution of 6,426 putative large SVs corresponding to 3,138 large deletions, 1,061 tandem duplications and 2,227 inversions.','Split read and paired-end mapping',null,'Sequencing','Illumina HiSeq2000','Bos_taurus_UMD_3.1'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd224','9606','Human','Homo sapiens','25118596','Suktitipat_et_al_2014','Control Set','http://thaicnv.icbs.mahidol.ac.th/thaicnv','Thai population control set (3,017 individuals from 7 GWAS studies) using the Illumina SNP array','Probe signal intensity,Probe signal intensity,Probe signal intensity',null,'SNP array,SNP array,SNP array','Illumina HumanHap 550,Illumina HumanHap 610,Illumina Human OmniExpress','NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd225','9606','Human','Homo sapiens','26899349','Magnusson_et_al_2016','Collection',null,'The study is based on CNV scorings from genome wide genotyping (700K SNPs) of blood DNA available on both members of 38 MZ twin pairs. They were identified while undertaking genotyping of almost 10 000 twins in the Swedish TwinGene project. Both members of the 38 MZ-pair were accidentally included due to initial misclassification of zygosity (based on similarity questions). We aimed to investigate occurrence of potential CNV differences between the members of the 38 pairs and thus to test the robustness of the assumption of 100% shared genetic variation in MZ in the classical twin model from the CNV perspective. We find that systemic CNV differences in MZ twins are rare with only one single finding validating with independent methodology. Interestingly, this CNV is a deletion located in the NRXN1 gene encoding Neurexin1 and there covers a small exon. NRXN1 is among the top genes for CNV involvement in development of schizophrenia, cognitive performance, autism and Tourette’s syndrome. Despite this there was no evidence of any mental/cognitive consequences of the deletion in the affected pair.','SNP genotyping analysis,Probe signal intensity',null,'SNP array,qPCR','Illumina OmniExpress bead chip,Not reported','GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd226','9606','Human','Homo sapiens','26893613','Zlotina_et_al_2016','Case-Set',null,'High-resolution molecular cytogenetic analysis of a patient with ring chromosome 18 syndrome combined with a severe congenital subaortic stenosis','Curated,Curated,Curated','CytoGenomics Software (v 3.0.1.1, Agilent Technologies),7500 Software v2.0.6 (Life technologies), ÎÎCt method','Oligo aCGH,qPCR,FISH','Agilent SurePrint G3 Human CGH 8x60K,SYBR Green technology,ToTelVysion Probe Kit (Abbott/Vysis)','NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd228','9606','Human','Homo sapiens','27124303','Ansari_et_al_2016','Case-Set',null,'Genetic Analysis of Individuals with Aniridia or Gillespie Syndrome','Other',null,'Oligo aCGH','Roche Nimblegen 135k and Agilent targeted','NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd229','9606','Human','Homo sapiens','26490036','Fakhro_et_al_2015','Case-Control',null,'CNVs were detected in 97 Qatari individuals, iuncluding 47 with type 2 diabetes, using a combination of sequencing and array technologies.','Merging,Probe signal intensity,Other,Read depth,Other','CNVPartition,cnMOPS,Unknown,QuantiSNP','Merging,Sequencing,Sequencing,SNP array,SNP array','Merging,HiSeq 2000,HiSeq 2000,Omni2.5M,Omni2.5M','GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd232','9606','Human','Homo sapiens','28231309','Blanco-Kelly_et_al_-2017','Case-Set',null,'Chromosomal deletions at 11p13 deletions are a frequent cause of congenital Aniridia, a rare pan-ocular genetic disease, as well as the related WAGR syndrome. In this study, we have developed a customized targeted CGH array for the WAGR locus on chr11p13-14. We have performed a comprehensive CNV analysis of a large cohort of Spanish patients with aniridia, WAGR syndrome and other related ocular malformations. Here, we report new data from 8 subjects carrying structural variants with different sizes in this locus.','Probe signal intensity,Probe signal intensity','Coffalyser software,Genomic Workbench Standard Edition software (Agilent Technologies) using the Aberration Detection Me','MLPA,Oligo aCGH','Salsa P219; MRC Holland,Agilent 15K aCGH','GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd24','9606','Human','Homo sapiens','17666407','de_Smith_et_al_2007','Control Set',null,'The discovery of copy number variation in healthy individuals is far from complete, and owing to the resolution of detection systems used, the majority of loci reported so far are relatively large ( approximately 65%>10 kb). Applying a two-stage high-resolution array comparative genomic hybridization approach to analyse 50 healthy Caucasian males from northern France, we discovered 2208 copy number variants (CNVs) detected by more than one consecutive probe. These clustered into 1469 CNV regions (CNVRs), of which 721 are thought to be novel. The majority of these are small (median size 4.4 kb) and most have common boundaries, with a coefficient of variation less than 0.1 for 83% of endpoints in those observed in multiple samples. Only 6% of the CNVRs analysed showed evidence of both copy number losses and gains at the same site. A further 6089 variants were detected by single probes: 48% of these were observed in more than one individual. In total, 2570 genes were seen to intersect variants: 1284 in novel loci. Genes involved in differentiation and development were significantly over-represented and approximately half of the genes identified feature in the Online Mendelian Inheritance in Man database. The biological importance of many genes affected, along with the well-conserved nature of the majority of the CNVs, suggests that they could have important implications for phenotype and, thus, be useful for association studies of complex diseases.','Probe signal intensity','CGH_Analytics_Software','Oligo aCGH','Agilent-015366 Custom Human 244K CGH Microarray','GRCh37.p13,NCBI35,GRCh37,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd3','9606','Human','Homo sapiens','18987735','Wang_et_al_2008','Control Set',null,'Here we present the first diploid genome sequence of an Asian individual. The genome was sequenced to 36-fold average coverage using massively parallel sequencing technology. We aligned the short reads onto the NCBI human reference genome to 99.97% coverage, and guided by the reference genome, we used uniquely mapped reads to assemble a high-quality consensus sequence for 92% of the Asian individual''s genome. We identified approximately 3 million single-nucleotide polymorphisms (SNPs) inside this region, of which 13.6% were not in the dbSNP database. Genotyping analysis showed that SNP identification had high accuracy and consistency, indicating the high sequence quality of this assembly. We also carried out heterozygote phasing and haplotype prediction against HapMap CHB and JPT haplotypes (Chinese and Japanese, respectively), sequence comparison with the two available individual genomes (<NAME> and <NAME>), and structural variation identification. These variations were considered for their potential biological impact. Our sequence data and analyses demonstrate the potential usefulness of next-generation sequencing technologies for personal genomics.','Read depth and paired-end mapping',null,'Sequencing','Illumina Genome Analyzer','GRCh37.p13,GRCh38,NCBI36,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd48','9606','Human','Homo sapiens','15654335','Stefansson_et_al_2005','Control Set',null,'A refined physical map of chromosome 17q21.31 uncovered a 900-kb inversion polymorphism.','BAC assembly',null,'Microsatellite genotyping','PTC-225 (MJ Research)','GRCh38,GRCh37,NCBI34'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd49','9606','Human','Homo sapiens','18971310','Gusev_et_al_2009','Control Set',null,'We present GERMLINE, a robust algorithm for identifying segmental sharing indicative of recent common ancestry between pairs of individuals. We use GERMLINE to comprehensively survey hidden relatedness both in the HapMap as well as in a densely typed island population of 3000 individuals. We bolster these results by demonstrating novel applications of precise analysis of hidden relatedness for identification and resolution of phasing errors and exposing polymorphic deletions that are otherwise challenging to detect.','SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis','GERMLINE,GERMLINE,GERMLINE','SNP array,SNP array,SNP array','[Mapping250K_Nsp] Affymetrix Mapping 250K Nsp SNP Array,[Mapping250K_Sty] Affymetrix Mapping 250K Sty2 SNP Array,Not reported','GRCh37.p13,GRCh38,NCBI36,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd50','9606','Human','Homo sapiens','12058347','Giglio_et_al_2002','Case-Control',null,'Heterozygous submicroscopic inversions involving olfactory receptor-gene clusters mediate the recurrent t(4;8)(p16;p23) translocation.','Probe signal intensity',null,'FISH','Genome-SystemInc','GRCh38,GRCh37,NCBI34'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd55','9606','Human','Homo sapiens','17911159','Pinto_et_al_2007','Control Set',null,'Here, we provide an example of how to discover new CNVs from existing genotype data from large-scale genetic epidemiological studies. We also discuss the need to expand surveys of CNV in different population-based cohorts and to apply the information to studies of human variation and disease.','SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis','dChip,GEMCA,CNAG,CNAG,dChip,GEMCA','SNP array,SNP array,SNP array,SNP array,SNP array,SNP array','Affymetrix Mapping 250K Sty2 SNP Array,Affymetrix Mapping 250K Sty2 SNP Array,Affymetrix Mapping 250K Nsp SNP Array,Affymetrix Mapping 250K Sty2 SNP Array,Affymetrix Mapping 250K Nsp SNP Array,Affymetrix Mapping 250K Nsp SNP Array','GRCh37.p13,GRCh38,GRCh37,NCBI35'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('estd59','9606','Human','Homo sapiens','20981092','1000_Genomes_Consortium_Pilot_Project','Control Set','http://www.1000genomes.org/','This study contains all structural variation data for the first phase of the 1000 Genomes Project (1K Genomes, 1KG). This includes Deletions, Mobile Element Insertions, Tandem Duplications, and Novel Sequences for both Pilot1 and Pilot2 on all chromosomes. Pilot1 structural variations were determined by low coverage re-sequencing of HapMap samples. Pilot2 structural variations were determined by high coverage re-sequencing of two HapMap trios (YRI and CEU).','Split read mapping,Other,de novo sequence assembly,de novo sequence assembly,Paired-end mapping,Paired-end mapping,Read depth,Read depth,Read depth,Other,Paired-end mapping,Split read mapping,Split read mapping,Split read mapping,Read depth,de novo sequence assembly,de novo sequence assembly,de novo sequence assembly,de novo sequence assembly,de novo sequence assembly,de novo sequence assembly,Other,Split read and paired-end mapping,Split read and paired-end mapping,Split read and paired-end mapping,Split read and paired-end mapping,Split read mapping,de novo sequence assembly,de novo sequence assembly,Other,Paired-end mapping,Paired-end mapping,de novo sequence assembly,de novo sequence assembly,de novo sequence assembly,de novo sequence assembly,de novo sequence assembly,Paired-end mapping,Paired-end mapping,Paired-end mapping,Paired-end mapping,Split read mapping,Other,Paired-end mapping,de novo sequence assembly,Read depth,de novo sequence assembly,de novo sequence assembly,Other,Paired-end mapping,Paired-end mapping,de novo sequence assembly,de novo sequence assembly,Other,de novo sequence assembly,Paired-end mapping,Paired-end mapping,Split read mapping,Paired-end mapping,Paired-end mapping,Paired-end mapping,Probe signal intensity,de novo sequence assembly,Split read mapping,Split read mapping,Paired-end mapping,Read depth','MOSAIK,MAPREADS & SOAP,CORONA,MOSAIK,MAQ,PEM,BLAT,MAQ,Pindel,MAQ,Pindel,MAQ,CORTEX,CORTEX,SOAP & CORTEX,SOAP & CORTEX,SOAP & CORTEX de novo and CORTEX on reference,SOAP & CORTEX de novo and CORTEX on reference,MOSAIK,MOSAIK,MOSAIK,MOSAIK,MOSAIK,SOAP,CORTEX,MOSAIK,MAQ,CORTEX on reference,CORTEX on reference,CORTEX de novo & CORTEX on reference,CORTEX de novo & CORTEX on reference,TIGRA,MAQ,MOSAIK,MOSAIK,MOSAIK,MAQ,Pindel,MAQ,MRFAST,MAQ,NovelSeq & CORTEX on reference,NovelSeq & CORTEX on reference,NovelSeq,SPANNER,MAPREADS,SOAP & CORTEX on reference,SOAP & CORTEX on reference,TIGRA,MAQ,MOSAIK,MRFAST,MAPREADS,SPANNER,SOAP,BLAT,MAQ,MRFAST,MAQ,MAQ,MOSAIK,MAPREADS & SOAP','Sequencing,Sequencing,Digital array,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Digital array,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,PCR,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,PCR,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Oligo aCGH,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,PCR,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,PCR,Sequencing,Sequencing','454,Illumina,Affymetrix 6, Illumina 1M, and custom Nimblegen aCGH arrays,454,454,Illumina,Illumina,Illumina,Illumina,Roche 454,Illumina,Roche 454,Illumina,Roche 454,Affymetrix 6, Illumina 1M, and custom Nimblegen aCGH arrays,Roche 454,Illumina,Illumina,Roche 454,Roche 454,Illumina,454,Not reported,Illumina,Illumina,Illumina,Roche 454,Illumina,Not reported,Illumina,Illumina,Illumina,Illumina,Illumina,Not reported,Illumina,Illumina,Roche 454,Illumina,Illumina,Roche 454,Illumina,Illumina,SOLiD,Illumina,ABI SOLiD,Illumina,Custom Nimblegen and Affymetix arrays,Illumina,454,454,Illumina,Illumina,Illumina,Roche 454,Not reported,Not reported,Illumina,454 GS Titanium,Roche 454,Illumina,Illumina,SOLiD,Illumina,Illumina,ABI SOLiD,Not reported','GRCh37.p13,GRCh38,GRCh37,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd1','9606','Human','Homo sapiens','15895083','Tuzun_et_al_2005','Control Set','http://hgsv.washington.edu','We systematically compared the human genome reference sequence with a second genome (represented by GM15510 fosmid paired-end sequences) to detect intermediate-sized structural variants >8 kb in length','Paired-end mapping,Probe signal intensity,Manual observation,Sequence alignment',null,'Sequencing,PCR,BAC aCGH,Sequencing','Capillary,Not reported,Not reported,Not reported','GRCh37.p13,GRCh38.p2,GRCh37,GRCh38.p2,NCBI35,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd10','9612','Wolf','Canis lupus','19129542','Nicholas_et_al_2009','Control Set',null,'Here we describe the first systematic and genome-wide analysis of segmental duplications and associated copy number variants (CNVs) in the modern domesticated dog.','Probe signal intensity','RJaCGH','Oligo aCGH','Custom Nimblegen aCGH chip targeted to canFam2 segmental duplications.','CanFam2.0,CanFam3.1'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd100','9606','Human','Homo sapiens','25217958','Coe_et_al_2014','Case-Control',null,'Copy Number Variants from 29,083 cases of Developmental Delay and Intellectual Disability from Signature Genomics, and 11,256 Control Samples. This study contains samples in common with [Cooper et al. 2011\|/dbvar/studies/nstd54]. Due to analysis differences (see manuscripts) please use the case samples (Sampleset 1) from only one of these submissions. Control sample sets do not overlap and may be combined.','Probe signal intensity,Probe signal intensity,Probe signal intensity',null,'SNP array,SNP array,Oligo aCGH','Affymetrix SNP Array 6.0,Affymetrix SNP Array 6.0,SignatureChip OS','GRCh37.p13,GRCh38,NCBI36,GRCh38.p2,GRCh37,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd101','9606','Human','Homo sapiens','21844811','ClinGen_Kaminsky_et_al_2011','Case-Set','http://www.clinicalgenome.org','Copy number variation identified through the course of routine clinical cytogenomic testing in postnatal populations. Clinical assertions have been curated as described in [Kaminsky, et al. 2011\|/pubmed/21844811]. For additional ClinGen data, please see [nstd37\|/dbvar/studies/nstd37/].','Probe signal intensity,Probe signal intensity,Probe signal intensity,Manual observation,Probe signal intensity,Probe signal intensity,Probe signal intensity,SNP genotyping analysis,Probe signal intensity,Probe signal intensity,Manual observation,Probe signal intensity,Probe signal intensity,Probe signal intensity',null,'Oligo aCGH,Oligo aCGH,Oligo aCGH,FISH,MLPA,Oligo aCGH,Karyotyping,Oligo aCGH,Oligo aCGH,Oligo aCGH,SNP array,Oligo aCGH,Oligo aCGH,Oligo aCGH','Not reported,ISCA 44K,Not reported,Not reported,Not reported,Not reported,Not reported,Not reported,Affymetrix CytoScan HD,Not reported,ISCA 180K,Not reported,Not reported,Not reported','GRCh37.p13,GRCh37,NCBI36,GRCh38.p2,GRCh38,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd104','9606','Human','Homo sapiens','25477213','Dumanski_et_al_2014','Control Set',null,'We analyzed the possible causes of loss of chromosome Y (LOY) in blood cells of adult men by studying 6014 men from three independent prospective cohorts: [TwinGene\|http://ki.se/en/meb/twingene-and-genomeeutwin] (n=4373) in this study, and [ULSAM\|http://www2.pubcare.uu.se/ULSAM/] (n=1153) and [PIVUS\|http://www.medsci.uu.se/pivus/] (n=488), both in study [nstd92\|http://www.ncbi.nlm.nih.gov/dbvar/studies/nstd92/]. We demonstrated that smoking is associated with LOY in the three cohorts (odds ratios 2.4 –4.3), LOY being the most common acquired human mutation in the studied subjects. Our data also suggests that smoking has a transient and dose-dependent mutagenic effect on LOY-status.','SNP genotyping analysis',null,'SNP array','HumanOmniExpress BeadChip','GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd105','9606','Human','Homo sapiens','25745018','Onozawa_et_al_2015','Collection',null,'We reported a previously unrecognized form of polymorphic insertions, termed Templated Sequence Insertion Polymorphism (TSIP), in which the inserted sequence was templated from a distant genomic region. TSIPs can be grouped into two classes based on nucleotide sequence features at the insertion junctions; Class 1 TSIPs show target site duplication (TSD), polyadenylation, and preference for insertion at a 5â-TTTT/A-3â sequence, suggesting a LINE-1 based insertion mechanism, whereas class 2 TSIPs show features consistent with repair of a DNA double strand break by non-homologous end joining. We evaluated whole genome sequence from 52 individuals, and identified 171 TSIPs. Mitochondrial sequences were a frequent template for class 2 insertions, used more commonly than any nuclear chromosome.','Sequence alignment,Sequence alignment',null,'Sequencing,Sequencing','Sanger Sequencing Validation,Complete Genomics Analysis Platform','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd106','9606','Human','Homo sapiens','24896259','Alsmadi_et_al_2014','Control Set',null,'Comprehensive analysis of two personal genomes of Saudi arabian ancestry from Kuwait','Read depth and paired-end mapping',null,'Sequencing','Illumina HiSeq 2000','GRCh38,GRCh38.p2,GRCh38.p2,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd107','9606','Human','Homo sapiens','26484159','John_et_al_2014','Control Set','http://www.sciencedirect.com/science/article/pii/S2213596014001299','Comprehensive analysis of a personal genome of Bedouin ancestry from Kuwait','Read depth and paired-end mapping',null,'Sequencing','Illumina HiSeq 2000','GRCh38,GRCh38.p2,GRCh37,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd109','9606','Human','Homo sapiens','26503250','Wildschutte_et_al_2015','Collection',null,'Discovery and assembly of polymorphic Alu insertions from 53 human genomes','de novo and local sequence assembly',null,'Sequencing','Illumina HiSeq 2000','GRCh38,GRCh38.p2,GRCh37,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd11','9606','Human','Homo sapiens','19651600','Walter_et_al_2009','Tumor vs. Matched-Normal',null,'We performed genome-wide copy number analysis with paired normal and tumor DNA obtained from 86 adult patients with de novo AML using 1.85 million feature SNP arrays.','SNP genotyping analysis','Partek Genomics Suite','SNP array','GPL6801','GRCh37.p13,GRCh38.p2,GRCh37,GRCh38,NCBI36,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd110','9940','Sheep','Ovis aries','26103004','Wiedemar_et_al_2015','Control Set',null,'Domestic sheep breeds show a broad spectrum of different horn phenotypes. In most modern production breeds sheep are polled (absence of horns), while horns mainly occur in indigenous breeds. Previous studies mapped the responsible locus on ovine chromosome 10. Sequence analysis identified an 1833 bp genomic deletion located in the 3’-UTR region of the RXFP2 gene present in horned animals only. The sequenced sheep of the reference assembly was hornless (polled).','Sequence alignment',null,'Sequencing','Not reported','Oar_v3.1,Oar_v4.0'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd111','9606','Human','Homo sapiens','26073780','Lou_et_al_2015','Control Set',null,'By using Affymetrix Genome-Wide Human SNP 6.0 array, we detected CNVs from Tibetan samples and identified a Tibetan specific deletion which presents high frequency in Tibetans but low in non-Tibetan populations.','Probe signal intensity,Sequence alignment','Birdsuite and WinXPCNVer','SNP array,Sequencing','Not reported,Not reported','GRCh38,GRCh38.p2,GRCh38.p2,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd112','9606','Human','Homo sapiens','26249230','Sudmant_et_al_2015','Collection',null,'To explore the diversity and selective signatures of duplications and deletions in human copy number variation (CNV), we sequenced 236 individuals from 125 distinct human populations. We observed that duplications exhibit fundamentally different population genetic and selective signatures than deletions and are more likely to be stratified between human populations. We find that the proportion of CNV to SNV base pairs is greater among non-Africans than it is among African populations but we conclude that this difference is likely due to unique aspects of non-African population history as opposed to differences in CNV load.','Read depth',null,'Sequencing','Not reported','GRCh38,GRCh38.p2,GRCh37,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd113','9606','Human','Homo sapiens','26307204','Polyak_et_al_2015','Case-Set',null,'Copy Number Variant calls for 8,373 individuals (16,828 calls) with intellectual disability/developmental delay and/or autism from Signature Genomics Laboratories LLC. Please note that this study may contain samples in common with [nstd54\|/dbvar/studies/nstd54/] and [nstd100\|/dbvar/studies/nstd100/]. Due to differences in the analysis please use samplesets from only one of these submissions.','Probe signal intensity',null,'Oligo aCGH','SignatureChip OS','GRCh37.p13,GRCh38.p2,NCBI36,GRCh38.p2,GRCh37,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd115','9612,9615,286419','Wolf,Dingo,Dog','Canis lupus,Canis lupus familiaris,Canis lupus dingo','26232412','Decker_et_al_2015','Control Set',null,'We compiled structural variants from diverse modern canids and compared these against variants shared by two ancient clonally transmissible canine tumors.','Split read and paired-end mapping','Delly v0.5.5','Sequencing','Not reported','CanFam3.1'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd116','9606','Human','Homo sapiens','26526070','Forni_et_al_2015','Control Set',null,'In this study we use high-coverage phase 3 exome sequences of the 1000 Genomes project to infer diploid copy number of the beta-defensin genomic region, a well-studied CNV that carries several beta-defensin genes involved in the antimicrobial response, signalling, and fertility. We also use these data to call sequence variants, a particular challenge given the multicopy nature of the region. We confidently call copy number and sequence variation of the beta-defensin genes on 1285 samples from 26 global populations.','Read depth',null,'Sequencing','Not reported','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd117','9823','Pig','Sus scrofa','27028052','Long_et_al_2016','Case-Control',null,'We performed a case-control genome-wide CNV association study of Umbilical hernia (UH) on 905 pigs from Duroc, Landrace and Yorkshire breeds using the Porcine SNP60 BeadChip and PennCNV algorithm. We firstly constructed a genomic map comprising 6,193 CNVs that pertain to 737 CNV regions (CNVRs). Then, we identified eight CNVs significantly associated with the risk for UH in the three pig breeds. Six of seven significantly associated CNVs were validated using quantitative real-time PCR. Notably, a rare CNV (CNV14:13030843-13059455) encompassing the NUGGC gene, implicated in human omphalocele and inguinal hernia, was strongly associated with UH (Permutation-corrected P = 0.0015) in Duroc pigs.','SNP genotyping analysis,Probe signal intensity',null,'SNP array,qPCR','Infinium II Multisample assay platform (Illumina),Not reported','Sscrofa10.2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd118','9606','Human','Homo sapiens','25848046','Polley_et_al_2015','Control Set',null,'We characterised copy number variation at the DMBT1 gene, which encodes a large glycoprotein known as salivary agglutinin, gp340, muclin or hensin. DMBT1 has a complex copy number variable structure, with two, independent, rapidly mutating copy number variable regions, called CNV1 and CNV2. We analysed the distribution across populations, calculated its mutation rate from analysing pedigrees. We provide evidence suggesting that CNV has been shaped by selection, in particular ability to bind both Streptococcus mutans and hydroxyapatite on the tooth surface.','Manual observation,Probe signal intensity,Manual observation,Probe signal intensity,Probe signal intensity','Manual observation,Manual observation,CNVtools,CNVtools,CNVtools','PCR,qPCR,PCR,Oligo aCGH,qPCR','Not reported,Not reported,Not reported,Not reported,Not reported','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd119','9913','Cow','Bos taurus','26763170','Menzi_et_al_2016','Case-Set',null,'A transposable element (LTR) insertion in APOB causes cholesterol deficiency (CD) in Holstein cattle. This recessivly inherited mutation leads to a loss of function mutation of the bovine apolipoprotein B (APOB) gene. Homozygous affected animals showed hypocholesterolemia and hypolipoproteinemia and die after a variable period of days to months with idiopathic diarrhea indicating a monogenic recessively inherited fat metabolism disorder (OMIA 001965-9913).','Sequence alignment',null,'Sequencing','Not reported','Bos_taurus_UMD_3.1.1,Btau_5.0.1'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd12','9606','Human','Homo sapiens','18252227','Marshall_et_al_2008','Case-Set','http://projects.tcag.ca/autism_500k/','SNP array and karyotyping were used to assess structural abnormalities in 427 unrelated ASD cases.','Merging,Merging,Merging,Merging,Merging,Merging,Merging,Merging,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,Merging,Merging,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis,Merging,Merging,Merging,Merging,Merging,Merging,Merging,Merging,SNP genotyping analysis,SNP genotyping analysis','dCHIP,dCHIP,dCHIP,GEMCA,GEMCA,GEMCA,GEMCA,dCHIP,CNAG,CNAG,CNAG,CNAG','Merging,Merging,SNP array,Merging,Merging,Merging,Merging,Merging,Merging,Merging,SNP array,SNP array,SNP array,SNP array,Merging,Merging,Merging,Merging,Merging,Merging,Merging,Merging,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,SNP array,Merging','See merged experiments,See merged experiments,[Mapping250K_Nsp] Affymetrix Mapping 250K Nsp SNP Array,See merged experiments,See merged experiments,See merged experiments,See merged experiments,See merged experiments,See merged experiments,See merged experiments,See merged experiments,See merged experiments,Not reported,See merged experiments,See merged experiments,[Mapping250K_Sty] Affymetrix Mapping 250K Sty2 SNP Array,Affymetrix GeneChip Early Access Mapping 500K Set Array (250K_Nsp_SNP),Affymetrix GeneChip Mapping 500K Early Access Array (250K_Sty_SNP),See merged experiments,[Mapping250K_Sty] Affymetrix Mapping 250K Sty2 SNP Array,Affymetrix GeneChip Early Access Mapping 500K Set Array (250K_Nsp_SNP),[Mapping250K_Nsp] Affymetrix Mapping 250K Nsp SNP Array,Affymetrix GeneChip Mapping 500K Early Access Array (250K_Sty_SNP),See merged experiments,See merged experiments,[Mapping250K_Nsp] Affymetrix Mapping 250K Nsp SNP Array,Affymetrix GeneChip Mapping 500K Early Access Array (250K_Sty_SNP),Affymetrix GeneChip Early Access Mapping 500K Set Array (250K_Nsp_SNP),See merged experiments,[Mapping250K_Sty] Affymetrix Mapping 250K Sty2 SNP Array','GRCh37.p13,GRCh38,GRCh38.p2,GRCh38.p2,GRCh37,NCBI35'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd121','9796','Horse','Equus caballus','27440410','Kader_et_al_2016','Collection',null,'The Copy Number Variation (CNV), as an essential form of genetic variation, has been increasingly recognized as one promising genetic marker in the analyses of animal genomes. Here we used the Equine 70K SNP genotyping array for the genome-wide detection of CNVs in 96 horses from three diverse Chinese breeds, Debao pony (DB), Mongolian (MG) and Yili (YL) horse. A total of 287 CNVs were determined and merged into 122 CNV regions (CNVRs) ranging from 199 bp to 2344 kb in size and distributed in a heterogeneous manner on chromosomes.','SNP genotyping analysis',null,'SNP array','Not reported','EquCab2.0'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd122','9606','Human','Homo sapiens','26749307','Duyzend_et_al_2015','Case-Control',null,'Copy Number Variants from 459 subjects from families where at least one individual carries a 16p11.2 CNV and 4,092 control samples. Case and control samplesets do not overlap.','Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity','Illumina CNVPartition v3.2.0,Illumina CNVPartition v3.2.0,Illumina CNVPartition v3.2.0,Illumina CNVPartition v3.2.0','SNP array,SNP array,SNP array,SNP array','Illumina 1.2M WTCCC Custom,Illumina 1.2M WTCCC Custom,Illumina Human Omni Express v1,Illumina Human Omni Express v2','GRCh37.p13,GRCh38.p2,NCBI36,GRCh38.p2,GRCh37,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd124','9606','Human','Homo sapiens','26990204','Binder_et_al_2016','Case-Set',null,'We applied whole genome sequencing to a DNA sample from a Multiple Sclerosis (MS) affected patient. This individual had previously been genotyped at multiple SNPs within the MERTK gene and was determined to be homozygous for the MS risk-associated haplotype at this gene locus. To interrogate the MS risk haplotype at this locus in an unbiased way, we sequenced the whole genome of this MS - MERTK homozygous-risk subject. We identified a large number of SNPs and small indels within the risk haplotype, and also identified a retrotransposon insertion within intron 4 (type AluYf4), and also identified an expanded (TA)n(T)m tandem repeat region within intron 1.','Paired-end mapping','Mapping with: BWA MEM, Data Visualization with Integrative Genomics Viewer (IGV) software','Sequencing','Illumina HiSeq 2000','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd125','9606','Human','Homo sapiens','27552964','Wills_et_al_2016','Somatic',null,'Autosomal dominant polycystic liver disease (ADPLD) and autosomal dominant polycystic kidney disease (ADPKD) is caused by mutations in PRKCSH, SEC63, and LRP5, PKD1, and PKD2. Liver cyst development in these disorders is explained by somatic loss-of-heterozygosity (LOH) of the wild type allele in the developing cyst. We analyzed 24 liver cyst samples from 23 patients using high resolution microarray (homozygosity of autosomes (>3.0Mb) large CNVs (>1.0Mb)). We found frequent LOH in PRKCSH (22/29), and PKD1/PKD2 (2/3). In the total cohort, 12/23 patients harbored abnormalities outside of familiar areas. In individual ADPLD cases, we identified germline events: a 2q13 complex rearrangement resulting in BUB1 haploinsufficiency, a 47XXX karyotype, and LOH on chromosome 3p.','SNP genotyping analysis',null,'SNP array','Not reported','GRCh38,GRCh38.p2,GRCh37,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd126','9615','Dog','Canis lupus familiaris','27917507','Turba_et_al_2016','Case-Set',null,'The aims of the study were the following: 1) to establish the allele frequencies of the c.118G>A substitution in the Hovawart breed, 2) to verify the possibility of Modifier, and 3) to establish the cause of drop out effect leading to errors in genetic testing.','Manual observation,Sequence alignment','GeneMapper,SeqScape v2.5','PCR,Sequencing','Not reported,Not reported','CanFam3.1'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd127','9606','Human','Homo sapiens','27231129','Dumanski_et_al_2016','Somatic',null,'Men have a shorter life expectancy compared with women but the underlying factor(s) are not clear. Late-onset, sporadic Alzheimer’s disease (AD) is a common and lethal neurodegenerative disorder and many germline inherited variants have been found to influence the risk of developing AD. Our previous results show that a fundamentally different genetic variant, i.e. lifetime-acquired loss of chromosome Y (LOY) in blood cells, is associated with all-cause mortality, an increased risk of non-hematological tumors and that LOY could be induced by tobacco smoking. We tested here a hypothesis whether men with LOY are more susceptible to AD and show that LOY is associated with AD in three independent studies of different types. In a case-control study, males with AD diagnosis had higher degree of LOY mosaicism (adjusted odds ratio=2.80, p=0.0184, AD events=606). Furthermore, in two prospective studies men with LOY at blood sampling had greater risk for incident AD diagnosis during follow-up time (hazard ratio HR=6.80, 95% confidence interval (95% CI)=2.16-21.43, AD events=140, p=0.0011). Thus, LOY in blood is associated with risks of both AD and cancer, suggesting a role of LOY in blood cells on disease processes in other tissues, possibly via defective immunosurveillance. As a male-specific risk factor, LOY might explain why males on average live shorter lives than females.','SNP genotyping analysis',null,'SNP array','Illumina Human610-Quad v1.0 BeadChip','GRCh38,NCBI36,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd128','9606','Human','Homo sapiens','27654912','Mallick_et_al_2016','Collection',null,'We report high quality genomes from 300 individuals from 142 diverse populations. As part of this study, we generated a comprehensive catalog of short tandem repeat (STR) genotypes. We used this call set to characterize allele frequency spectra, analyze sequence determinants of STR variation, and to identify common loss of function alleles.','Genotyping',null,'Sequencing','Illumina','GRCh38,GRCh37,GRCh38.p2,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd129','9606','Human','Homo sapiens','27569546','Guo_et_al_2016','Control Set',null,'We used the Illumina HumanExome array to genotype 753 patients of European descent presenting specifically sporadic thoracic aortic dissection (STAD) and compared them to the genotypes of 2259 controls. SNPs in FBN1, LRP1, and ULK4 were identified to be significantly associated with STAD, and these results were replicated in two independent cohorts. Case-control association study of genomic copy number variation (CNV) on these loci were further performed to test the allele frequency of CNV in patients with that of controls from the dbGaP database. CNV analysis independently confirmed that ULK4 deletions were significantly associated with development of thoracic aortic disease. These results indicate that genetic variations in LRP1 and ULK4 contribute to risk for presenting with an acute aortic dissection. The variant reported here was observed in a control individual.','SNP genotyping analysis','A consensus CNV call list was derived from the combination of three algorithms: PennCNV (v. 2011), ','SNP array','Genomic copy number analysis','GRCh38,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd13','9615','Dog','Canis lupus familiaris','19015322','Chen_et_al_2009','Control Set',null,'Here we report the use of high resolution oligonucleotide (oligo) aCGH to map common CNVs in pedigreed dogs (commonly referred to as ‘‘purebred’’).','Sequence alignment,Manual observation,Manual observation,Probe signal intensity','Bioconductor','Sequencing,PCR,Southern,Oligo aCGH','Not reported,NimbleGen Canis familiaris 385K CanFam2_WG_CGH,Not reported,Not reported','CanFam2.0,CanFam3.1'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd130','9606','Human','Homo sapiens','27569545','Leppa_et_al_2016','Collection',null,'We analyzed microarray based CNV data from families from the Autism Genetic Resource Exchange (AGRE). We observed a higher burden of large, rare CNVs in individuals with ASD compared to their unaffected siblings, but at a significantly lower level than in simplex families. We also identified a rare ASD and language delay associated de novo deletion overlapping the NR4A2 gene on 2q24.1. Thirty families with previously characterized ASD-associated CNVs showed inheritance pattern, where in 21 of the 30 families, in which at least one affected sibling harbored a major risk CNV, the CNV wasn��t shared by all affected children within that family, indicating other contributing factors.','Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity','CNVision (PennCNV, QuantiSNP, GNOSIS),CNVision (PennCNV, QuantiSNP, GNOSIS),CNVision (PennCNV, QuantiSNP, GNOSIS),CNVision (PennCNV, QuantiSNP, GNOSIS),CNVision (PennCNV, QuantiSNP, GNOSIS),CNVision (PennCNV, QuantiSNP, GNOSIS)','SNP array,SNP array,SNP array,SNP array,SNP array,SNP array','Illumina HumanHap 550v1,Illumina Omni - 1,Illumina Omni - 1,Illumina Omni - 1,Illumina Omni-2.5,Illumina HumanHap 550v3','GRCh37.p13,GRCh37,NCBI36,GRCh38.p2,GRCh38,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd131','9913','Cow','Bos taurus','27775157','Keel_et_al_2016','Collection',null,'In this study we identified CNV in a population bulls using low coverage next-generation sequencing data. First, in order to determine a suitable strategy for CNV detection in our data, we compared the performance of three distinct CNV detection algorithms on benchmark CNV data sets and concluded that using the multiple sample read depth approach was the best method for identifying CNV in our sequence. Using this technique, we identified a total of 1,532 copy number variable regions (CNVRs) from genome sequence of 154 purebred sires used in Cycle VII of the Germplasm Evaluation Project (GPE). These bulls represented the seven most popular beef breeds in the United States, Hereford, Charolais, Angus, Red Angus, Simmental, Gelbvieh, and Limousin. The CNVRs covered approximately 7% of the bovine genome and spanned 2,004 protein-coding genes and many known quantitative trait loci (QTL). Gene ontology enrichment analysis showed that they are significantly enriched for terms related to immune system process.','Read depth and paired-end mapping','cn.MOPS','Sequencing','Illumina HiSeq','Bos_taurus_UMD_3.1,Btau_5.0.1,Bos_taurus_UMD_3.1.1'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd132','9606','Human','Homo sapiens','28145423','Walker_et_al_2017','Case-Set',null,'We conducted a genome-wide association analysis of copy number variants (CNVs) with breast or ovarian cancer risk in a cohort of 2500 BRCA1 pathogenic variant carriers, using Illumina 610k SNP array data from a previously study (PMID: [20852631\|http://www.ncbi.nlm.nih.gov/pubmed/20852631]). This study highlighted the need to verify CNVs in vitro, but also provides evidence that experimentally validated CNVs (with plausible biological consequences) can modify risk of breast or ovarian cancer in BRCA1 pathogenic variant carriers.','Genotyping','CNVs called by at least two algorithms (CNVPartition, GNOSIS, PennCNV, QuantiSNP).','SNP array','Illumina Infinium 610K array','GRCh37.p13,GRCh38,GRCh38.p2,GRCh38.p2,GRCh37,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd133','9606','Human','Homo sapiens','27841880','Redin_et_al_2016','Case-Set',null,'Detailed breakpoint mapping of 248 balanced chromosomal rearrangements at nucleotide resolution using sequencing in subjects with congenital anomalies, based on initially provided karyotpes.','Merging,Split read and paired-end mapping,Split read and paired-end mapping,Split read mapping',null,'Merging,Sequencing,Sequencing,Sequencing','Not reported,Not reported,Not reported,Not reported','GRCh38,GRCh37,GRCh38.p2,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd134','7227','Fruit fly','Drosophila melanogaster','27928499','Gilks_et_al_2016','Collection','http://www.sussex.ac.uk/lifesci/morrowlab/','As part of a study into the molecular genetics of sexual selection, we used next-generation sequencing to obtain data on genomic variation in an out-bred Drosophila melanogaster population sample. As expected, two in-house reference line individuals had few mutations compared to the reference assembly, and a high level of genotype concordance. Furthermore, the LHM hemiclones have millions of high-quality heterozygous genotypes which exhibit genomic position and allele frequency distributions similar to that of other D.melanogaster population samples, and with generally low singleton and genotype drop-out rates. These data can be used to compare the performance of next-generation sequencing, and for population genomics of a diploid model organism from haploid genotype data.','Read depth and paired-end mapping','Genomestrip/2.0','Sequencing','Illumina 2500','Release 6 plus ISO1 MT'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd137','9606','Human','Homo sapiens','27895111','Huddleston_et_al_2016','Collection',null,'In an effort to more fully understand the full spectrum of human genetic variation, we generated deep single-molecule, real-time (SMRT) sequencing data from two haploid human genomes. Using an assembly-based approach (SMRT-SV), we systematically assessed each genome independently for structural variants (SVs) and indels resolving the sequence structure of 461,553 genetic variants from 2 bp to 28 kbp in length. We find that 82% of these variants have been missed as part of analysis of the 1000 Genomes Project. We estimate that this theoretical human diploid differs by as much as ~16 Mbp with respect to the human reference, with long-read sequencing data providing a fivefold increase in sensitivity for genetic variants ranging in size from 7 bp to 1 kbp when compared to short-read sequence data.','Genotyping,Local sequence assembly,Local sequence assembly,Genotyping',null,'Sequencing,Sequencing,Sequencing,Sequencing','Not reported,Not reported,Not reported,Not reported','GRCh37.p13,GRCh37,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd14','9606','Human','Homo sapiens','18776910','Cooper_et_al_2008','Control Set',null,'Using independent, sequence based CNV maps, we find that commonly used SNP platforms have limited or no probe coverage for a large fraction of CNVs. Despite this, in 9 samples we inferred 368 CNVs using Illumina SNP genotyping data and experimentally validated over two-thirds of these.','SNP genotyping analysis','HMMSeg','SNP array','Illumina Human1Mv1 DNA Analysis BeadChip (Human1Mv1_C)','GRCh37.p13,GRCh37,GRCh38.p2,NCBI35,GRCh38.p2,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd140','9606','Human','Homo sapiens','28104618','Fan_et_al_2017','Control Set',null,'We developed a hybrid structural variant assembly (HySA) approach that integrates sequencing reads from next-generation sequencing and single-molecule sequencing technologies to accurately assemble and detect structural variations in human genomes. We applied HySA to a haploid hydatidiform mole genome (CHM1) and a diploid human genome (NA12878) for SV detection.','Local sequence assembly,Local sequence assembly','HySA,HySA','Sequencing,Sequencing','Not reported,Not reported','GRCh37.p13,GRCh38.p2,GRCh37,GRCh38,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd142','9606','Human','Homo sapiens','27995740','Rahbari_et_al_2016','Control Set',null,'Fc�� receptors are a family of cell-surface receptors that are expressed by a host of different innate and adaptive immune cells and mediate inflammatory responses by binding the Fc portion of immunoglobulin G (IgG). In humans, five low affinity receptors are encoded by the genes FCGR2A, FCGR2B, FCGR2C, FCGR3A and FCGR3B, which are located in a 82.5kb segmental tandem duplication on chromosome 1q23.3, which shows extensive copy number variation (CNV). We identify several alleles with gene conversion events using fosmid sequencing data.','Sequence alignment',null,'Sequencing','Not reported','GRCh38,GRCh37,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd15','10090','Mouse','Mus musculus','17989247','Cutler_et_al_2007','Control Set',null,'In this study, we have performed the most comprehensive survey to date of CNVs in mice, analyzing the genomes of 42 Mouse Phenome Consortium priority strains. This microarray comparative genomic hybridization (CGH)-based analysis has identified 2094 putative CNVs, with an average of 10 Mb of DNA in 51 CNVs when individual mouse strains were compared to the reference strain C57BL/6J.','Probe signal intensity','GLAD','Oligo aCGH','Agilent-014695 Mouse Genome CGH Microarray 244A (G4415A) (Feature Number version)','MGSCv36,MGSCv37,GRCm38,GRCm38.p3'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd16','9606','Human','Homo sapiens','17901297','Korbel_et_al_2007','Control Set',null,'We introduce high-throughput and massive paired-end mapping (PEM), a large-scale genome-sequencing method to identify structural variants (SVs) ~3 kilobases (kb) or larger that combines the rescue and capture of paired ends of 3-kb fragments, massive 454 sequencing, and a computational approach to map DNA reads onto a reference genome.','Manual observation,Manual observation,Paired-end mapping,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity',null,'PCR,Oligo aCGH,Oligo aCGH,Oligo aCGH,FISH,Sequencing,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH','Not reported,NimbleGen Homo sapiens HG18 Whole Genome CGH Tiling Set (8 of 8),NimbleGen Homo sapiens HG18 Whole Genome CGH Tiling Set (6 of 8),Not reported,454,NimbleGen Homo sapiens HG18 Whole Genome CGH Tiling Set (2 of 8),NimbleGen Homo sapiens HG18 Whole Genome CGH Tiling Set (1 of 8),NimbleGen Homo sapiens HG18 Whole Genome CGH Tiling Set (3 of 8),NimbleGen Homo sapiens HG18 Whole Genome CGH Tiling Set (4 of 8),NimbleGen Homo sapiens HG18 Whole Genome CGH Tiling Set (7 of 8),NimbleGen Homo sapiens HG18 Whole Genome CGH Tiling Set (5 of 8)','GRCh37.p13,GRCh38.p2,NCBI36,GRCh38.p2,GRCh37,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd17','9606','Human','Homo sapiens','16327808','Conrad_et_al_2006','Control Set',null,'We report a new method that uses SNP genotype data from parent-offspring trios to identify polymorphic deletions. We applied this method to data from the International HapMap Project to produce the first high-resolution population surveys of deletion polymorphism. Approximately 100 of these deletions have been experimentally validated using comparative genome hybridization on tiling-resolution oligonucleotide microarrays. Our analysis identifies a total of 586 distinct regions that harbor deletion polymorphisms in one or more of the families.','Probe signal intensity,SNP genotyping analysis',null,'Oligo aCGH,SNP array','Sanger (Hurles) - Homo sapiens - 385K feature custom tiling path array - v1.0,Not reported','GRCh37.p13,GRCh38,GRCh38.p2,GRCh38.p2,GRCh37,NCBI34'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd18','10090','Mouse','Mus musculus','17965714','Egan_et_al_2007','Control Set',null,'We used high-resolution microarrays to identify 39 CNVs among 14 colonies of the C57BL/6 strain spanning approximately 967 generations of inbreeding, and we examined these loci in 12 additional strains.','Merging,Sequence alignment,Probe signal intensity,Manual observation,Curated,Probe signal intensity,Probe signal intensity','HMM,HMM','Merging,PCR,ROMA,Curated,Sequencing,Oligo aCGH,qPCR','See merged experiments,Not reported,ROMA-mouse-85K-v1.0,Not reported,Not reported,tiling-mouse-385K-v1.0,Not reported','MGSCv36,GRCm38,MGSCv37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd19','10090','Mouse','Mus musculus','20308636','Quinlan_et_al_2010','Control Set',null,'We used Illumina paired-end DNA sequencing to identify structural variation between two inbred mouse strains: DBA/2J and C57BL/6','Read depth,Sequence alignment,Probe signal intensity,Paired-end mapping',null,'Sequencing,Sequencing,Sequencing,qPCR','Solexa (Illumina GA2),Solexa (Illumina GA2),Not reported,Not reported','MGSCv37,GRCm38,GRCm38.p3'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd2','9606','Human','Homo sapiens','18451855','Kidd_et_al_2008','Control Set','http://hgsv.washington.edu','We implemented an approach to construct clone-based maps of eight human genomes with the aim of systematically cloning and sequencing structural variants more than 8 kbp in length.','One end anchored assembly,MCD analysis,Manual observation,Paired-end mapping,Sequence alignment,Probe signal intensity,Probe signal intensity',null,'Sequencing,FISH,Multiple complete digestion,Sequencing,Oligo aCGH,Sequencing,Oligo aCGH','Not reported,Not reported,Not reported,Capillary,Not reported,Not reported,Not reported','GRCh37.p13,GRCh38.p2,NCBI35,GRCh38.p2,GRCh37,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd20','9606','Human','Homo sapiens','16468122','McCarroll_et_al_2006','Control Set',null,'We developed a systematic approach for identifying deletions from patterns of Mendel failures, null genotypes and Hardy-Weinberg disequilibrium in dense genotype data.','SNP genotyping analysis,SNP genotyping analysis,SNP genotyping analysis',null,'SNP array,SNP array,SNP array','Not reported,Not reported,Not reported','GRCh37.p13,GRCh38,NCBI34,GRCh37,GRCh38.p2,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd21','9606','Human','Homo sapiens','19592680','Shaikh_et_al_2009','Control Set','http://cnv.chop.edu/','We present a database of copy number variations (CNVs) detected in 2,026 disease-free individuals, using high-density, SNP-based oligonucleotide microarrays. This large cohort analyzed for CNVs in a single study using a uniform array platform and computational tools, comprises mainly of Caucasians (65.2%) and African-Americans (34.2%), We have catalogued and characterized 54,462 individual CNVs, 77.8% of which were identified in multiple unrelated individuals. These non-unique CNVs mapped to 3,272 distinct regions of genomic variation spanning 5.9% of the genome; 51.5% of these were previously unreported, and >85% are rare.','SNP genotyping analysis',null,'SNP array','GPL6434','GRCh37.p13,GRCh38.p2,GRCh38,GRCh38.p2,GRCh37,NCBI35'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd22','9606','Human','Homo sapiens','18776908','McCarroll_et_al_2008','Control Set',null,'We sought to develop hybrid oligonucleotide microarrays to accurately analyze SNPs and copy number variation simultaneously; to use these arrays to map the genomic locations, allele frequencies and population-genetic properties of human CNPs; and to apply this knowledge to advance strategies for querying CNV in genome-wide association studies.','Probe signal intensity','Birdseye','SNP array','[GenomeWideSNP_6] Affymetrix Genome-Wide Human SNP 6.0 Array','GRCh37.p13,GRCh38.p2,GRCh37,GRCh38,GRCh38.p2,NCBI35'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd23','9606','Human','Homo sapiens','18674749','Young_et_al_2008','Control Set',null,'We have undertaken a detailed study of copy-number variation of ORs to elucidate the selective and mechanistic forces acting on this gene family and the true impact of copy-number variation on human OR repertoires.','Manual observation,Sequence alignment,Probe signal intensity,Sequence alignment,Probe signal intensity','GeneMapper 3.7 or 4.0 software (Applied Biosystems)','PCR,Sequencing,MLPA,MLPA,Sequencing','Not reported,Not reported,Not reported,Not reported,Not reported','GRCh38,NCBI36,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd24','9823','Pig','Sus scrofa','19079605','Fadista_et_al_2008','Control Set',null,'Here we report a first account of CNVs in the pig genome covering part of the chromosomes 4, 7, 14, and 17 already sequenced and assembled. A custom tiling oligonucleotide array was used with a median probe spacing of 409 bp for screening 12 unrelated Duroc boars that are founders of a large family material. After a strict CNV calling pipeline, 37 copy number variable regions (CNVRs) across all four chromosomes were identified, with five CNVRs overlapping segmental duplications, three overlapping pig unigenes and one overlapping a RefSeq pig mRNA.','Probe signal intensity,Manual observation',null,'Oligo aCGH,RT-PCR','Nimblegen 385K pig array CGH,Not reported','Sscrofa3,Sscrofa10.2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd25','7227','Fruit fly','Drosophila melanogaster','18056801','Dopman_et_al_2007','Control Set',null,'Here, we focus on copy-number variation in Drosophila melanogaster. We characterize copy-number polymorphism (CNP) across genomic regions, and we contrast patterns to infer the evolutionary processes acting on this variation.','Probe signal intensity',null,'Oligo aCGH','HartlLab Drosophilamelanogaster PCRproducts 22k','Release 5,Release 6 plus ISO1 MT'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd26','7227','Fruit fly','Drosophila melanogaster','18535209','Emerson_et_al_2008','Control Set',null,'We used high-density full-genome tiling arrays to create a fine-scale genomic map of copy-number polymorphisms (CNPs) in Drosophila melanogaster.','Sequence alignment,Probe signal intensity','HMM','Sequencing,Oligo aCGH','Not reported,Affymetrix Drosophila Genome Tiling Array 1.0F (Dm35b_MF_v02)','Release 6 plus ISO1 MT,Release 4'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd27','9606','Human','Homo sapiens','19166990','Itsara_et_al_2009','Control Set',null,'We identify large copy-number variants in ~2500 individuals by using Illumina SNP data, with an emphasis on ‘‘hotspots’’ prone to recurrent mutations.','SNP genotyping analysis,Probe signal intensity',null,'SNP array,Oligo aCGH','Not reported,Not reported','GRCh37.p13,GRCh38.p2,NCBI35,GRCh38.p2,GRCh37,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd28','9606','Human','Homo sapiens','19776401','Zhang_et_al_2009','Case-Set',null,'We employed a CGH based method to interrogate intermediate structural variation in 6 individuals of diverse geographic ancestry.','Probe signal intensity,Manual observation,Manual observation','Agilent Genome Workbench','Oligo aCGH,Western,PCR','GPL6264,Not reported,Not reported','GRCh38,GRCh37,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd29','9606','Human','Homo sapiens','16826518','Locke_et_al_2006','Control Set','http://humanparalogy.gs.washington.edu/structuralvariation/general/download.html','In an attempt to assess the heritability and LD of copy-number polymorphisms (CNPs) in duplication-rich regions of the genome, we profiled copy-number variation in 130 putative “rearrangement hotspot regions” among 269 individuals of European, Yoruba, Chinese, and Japanese ancestry analyzed by the International HapMap Consortium.','Probe signal intensity',null,'BAC aCGH','GPL4010','GRCh37.p13,GRCh37,GRCh38.p2,NCBI34,GRCh38,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd3','9544','Rhesus monkey','Macaca mulatta','18180252','Lee_et_al_2008','Control Set',null,'Performed a study of CNVs in the macaque genome by using a macaque-specific array-based comparative genomic hybridization (aCGH) platform to describe patterns of copy number variation among the genomes of 10 macaque individuals','Probe signal intensity','BreakPtr','Oligo aCGH','Nimblegen Macaque Whole genome CGH 385K array','Mmul_051212,Mmul_8.0.1'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd30','9606','Human','Homo sapiens','18288195','Jakobsson_et_al_2008','Control Set','http://neurogenetics.nia.nih.gov/paperdata/public/','Here we report the analysis of high-quality genotypes at 525,910 single-nucleotide polymorphisms (SNPs) and 396 copy-number-variable loci in a worldwide sample of 29 populations.','SNP genotyping analysis,SNP genotyping analysis','PennCNV,PennCNV','SNP array,SNP array','Illumina HumanHap550 Genotyping BeadChip v3,Illumina HumanHap550 Genotyping BeadChip v1','GRCh37.p13,NCBI36,GRCh38,GRCh38.p2,GRCh37,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd31','9606','Human','Homo sapiens','19718026','Alkan_et_al_2009','Control Set',null,'We present an algorithm (mrFAST) to comprehensively map next-generation sequence reads, which allows for the prediction of absolute copy-number variation of duplicated segments and genes. We examine three human genomes and experimentally validate genome-wide copy number differences. Our method provides a more accurate assessment of gene content and insight into functional constraint without the limitations of array-based technology.','Read depth,Read depth,Probe signal intensity,Probe signal intensity','mrFAST','Sequencing,Sequencing,Oligo aCGH,Oligo aCGH','Illumina Genome Analyzer and Roche/454 sequencer. For arrayCGH validation experiments we used Nimble,Illumina Genome Analyzer and Roche/454 sequencer. For arrayCGH validation experiments we used Nimble,Not reported,GPL13934','GRCh37.p13,NCBI35,GRCh37,GRCh38.p2,GRCh38,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd32','9606','Human','Homo sapiens','15918152','Sharp_et_al_2005','Control Set',null,'On the basis of the duplication architecture of the human genome, we defined a set of 130 potential rearrangement hotspots and constructed a targeted bacterial artificial chromosome (BAC) microarray (with 2,194 BACs) to assess copy-number variation in these regions by array comparative genomic hybridization. Using our segmental duplication BAC microarray, we screened a panel of 47 normal individuals, who represented populations from four continents, and we identified 119 regions of copy-number polymorphism (CNP), 73 of which were previously unreported.','Probe signal intensity,Manual observation',null,'BAC aCGH,FISH','GPL4010,Not reported','GRCh37.p13,GRCh38,GRCh37,GRCh38.p2,NCBI34,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd33','9606','Human','Homo sapiens','17360722','Sharp_et_al_2007','Case-Set','http://humanparalogy.gs.washington.edu/structuralvariation/','We describe multiple individuals with mental retardation and overlapping de novo submicroscopic deletions of 15q24 (1.7��3.9 Mb in size).','Probe signal intensity,Sequence alignment',null,'Oligo aCGH,Sequencing','Custom NimbeGen array,Not reported','GRCh38,GRCh37,NCBI35'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd34','9606','Human','Homo sapiens','16327809','Hinds_et_al_2006','Control Set',null,'We examined 100 deletion polymorphisms ranging from 70 bp to 7 kb.','Probe signal intensity,Manual observation',null,'Oligo aCGH,PCR','Custom Perlegen arrays ,Not reported','GRCh38,NCBI35,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd35','9606','Human','Homo sapiens','20440878','Kidd_et_al_2010','Control Set','http://hgsv.washington.edu/','Discovery and analysis of sequence insertions not represented in the human genome reference','One end anchored assembly,One end anchored assembly,Paired-end mapping,Sequence alignment,Sequence alignment,Probe signal intensity,Paired-end mapping','megaBLAST,megaBLAST','Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Sequencing,Oligo aCGH','Capillary,Capillary,Agilent Custom Human 244K CGH Array,Agilent Custom Human 244K CGH Array,Capillary,Agilent Custom Human 244K CGH Array,Agilent Custom Human 244K CGH Array','GRCh37.p13,GRCh38.p2,GRCh37,NCBI36,NCBI35,GRCh38.p2,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd36','9606','Human','Homo sapiens','20598272','Mitsui_et_al_2010','Case-Set',null,'We performed a custom-designed high-density comparative genomic hybridization analysis to determine the junction sequences in germ cell lines and cancer cell lines involving PARK2 or DMD.','Probe signal intensity,Sequence alignment,Merging',null,'Oligo aCGH,Merging,Sequencing','Agilent,Not reported,See merged experiments','GRCh38,GRCh37,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd37','9606','Human','Homo sapiens','20466091','ClinGen_Laboratory-Submitted','Case-Set','http://www.clinicalgenome.org','Copy number variation identified through the course of routine clinical cytogenomic testing in postnatal populations, with clinical assertions as classified by the original submitter. For data from the original published study, [Kaminsky, et al. 2011\|/pubmed/21844811], please see [nstd101\|/dbvar/studies/nstd101/].','Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Manual observation,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,SNP genotyping analysis,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Manual observation,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity','Agilent: Aberration algorithm = ADM-1 with 6.7 threshold; Aberration filter settings: minimum # prob','Oligo aCGH,Karyotyping,Oligo aCGH,Oligo aCGH,MLPA,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,FISH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,SNP array,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH','Emory, 4x44K,EMArray Cyto6000,OGT 60K 27574, v1,Not reported,ISCA 8x60, v2,ISCA 44K 016267, v1,ISCA 60K 024612, v2,Affymetrix CytoScan HD,Human Genome CGH Microarray 44K, design ID 13282,Not reported,ISCA 8x60K OGT, v2,ISCA 4x180K, v2,Agilent 023097,Agilent 023097, v1,Not reported,ISCA 180K 024616, v2,ISCA 180K,ISCA 44K 16267, v1,Cytochip 180K, v1,Affymetrix CytoScan HD,OGT 60K 27574,SurePrint G3 Human CGH Microarray 4x180K (Agilent),ISCA 180K,Human Genome CGH Microarray 44K, design ID 14950,SurePrint G3 Human CGH Microarray, 8x60K,Not reported,ISCA 8x60, v2,Bluegnome Cytochip 105K, v1.1,Cyto Custom HD-CGH Microarray (4x44K), design ID 16267,Not reported,Agilent custom 44K, v1,Not reported,ISCA 44K, v1,ISCA 44K 024614, v2,ISCA 44K,Not reported','GRCh37.p13,GRCh38,GRCh38.p2,NCBI36,GRCh38.p2,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd39','9606','Human','Homo sapiens','20164927','Schuster_et_al_2010','Control Set',null,'Here we present the complete genome sequences of an indigenous hunter-gatherer from the Kalahari Desert and a Bantu from southern Africa, as well as protein-coding regions from an additional three hunter-gatherers from disparate regions of the Kalahari. We characterize the extent of whole-genome and exome diversity among the five men, reporting 1.3 million novel DNA differences genome-wide, including 13,146 novel amino acid variants.','Probe signal intensity,Read depth','mrFAST','Oligo aCGH,Sequencing','Not reported,Illumina Genome Analyzer and Roche/454 sequencer. For arrayCGH validation experiments we used Nimble','GRCh37.p13,NCBI35,GRCh38,GRCh38.p2,GRCh37,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd4','9606','Human','Homo sapiens','18304495','Perry_et_al_2008','Control Set','http://research.jax.org/faculty/charles-lee.html','We used a high-resolution array-based comparative genomic hybridization (aCGH) platform that targeted known CNV regions of the human genome at approximately 1 kb resolution to interrogate the genomic DNAs of 30 individuals from four HapMap populations','Probe signal intensity,Probe signal intensity','ADM2,ADM2','Oligo aCGH,Oligo aCGH','Agilent-015686 Custom Human 244K CGH Microarray,Agilent-015685 Custom Human 244K CGH Microarray','GRCh37.p13,NCBI35,GRCh38.p2,GRCh37,GRCh38.p2,GRCh38'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd40','9606','Human','Homo sapiens','16906162','Sharp_et_al_2006','Case-Control','http://humanparalogy.gs.washington.edu/structuralvariation/','Based on the duplication architecture of the genome, we investigated 130 regions that we hypothesized as candidates for previously undescribed genomic disorders. We tested 290 individuals with mental retardation by BAC array comparative genomic hybridization and identified 16 pathogenic rearrangements, including de novo microdeletions of 17q21.31 found in four individuals.','Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity',null,'BAC aCGH,FISH,BAC aCGH,Oligo aCGH','GSE5373,GSE5373,Not reported,Custom NimbleGen array','GRCh37.p13,GRCh38.p2,GRCh38,NCBI34,GRCh38.p2,GRCh37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd41','9606','Human','Homo sapiens','15286789','Iafrate_et_al_2004','Control Set',null,'We identified 255 loci across the human genome that contain genomic imbalances among unrelated individuals. Data was originally reported on human genome assembly NCBI34; it is reported here on the current human genome assembly, GRCh37.','Probe signal intensity,Probe signal intensity',null,'BAC aCGH,FISH','Spectral Genomics 2600 BAC array,Not reported','GRCh38,GRCh37,GRCh38.p2,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd42','9606','Human','Homo sapiens','18278044','Sharp_et_al_2008','Case-Set',null,'We report a recurrent microdeletion syndrome causing mental retardation, epilepsy and variable facial and digital dysmorphisms.','Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity',null,'qPCR,BAC aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH','Not reported,Not reported,University of Washington Human original custom 2-plex 166K array, version 1,University of Washington Human custom 2-plex 166K array for 15q13 region, A1 version 1,University of Washington Human custom 2-plex 166K array for 15q13 region, A2 subarray version 1,University of Washington Human Itsara PWS 388K custom design array, version 1,Not reported','GRCh38,GRCh37,GRCh38.p2,NCBI35,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd43','9606','Human','Homo sapiens','19587683','Kim_et_al_2009','Control Set',null,'We detected structural variations using three methods: diploid GA sequencing, BAC end sequencing, and microarrays. 1. To confirm reliable large deletions in diploid GA sequencing, three criteria had to be met: (1) relative coverage drops compared to those of the flanking regions; (2) the existence of stretched paired-end sequence; and (3) the loss of heterozygous SNPs under the regions. Relative increase of sequencing coverage was used as a confirmation tool for copy number gains. 2. BACs less than 40 kb were considered as significantly short. The co-localization of two or more short BACs was considered as the candidate region of amplification. 3. Putative structural variations were detected with microarrays (Illumina BeadChip 370K, 610K, and Agilent 24M aCGH; Supplementary Methods). For Illumina BeadChips, normalized bead intensity data and genotype calls were obtained with Illumina BeadStudio 3.1 software. Results from Agilent 24M aCGH were analysed on Nexus software (BioDiscovery Inc.). Each aberration call was manually checked to confirm the accuracy of the calls.','Paired-end mapping,Probe signal intensity,Paired-end mapping,Probe signal intensity,Probe signal intensity','Nexus software,Illumina BeadStudio 3.1 software,Illumina BeadStudio 3.1 software','Sequencing,SNP array,Sequencing,Oligo aCGH,SNP array','GPL10329,GSE19651,GPL8887,GPL6985,GPL10329','GRCh37.p13,GRCh38,NCBI36,GRCh38.p2,GRCh37,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd44','9823','Pig','Sus scrofa','20969757','Ramayo-Caldas_et_al_2010','Control Set',null,'We used predictions from three different programs (cnvPartition , PennCNV and GADA) to analyze data from the Porcine SNP60 BeadChip. A total of 49 CNVRs were identified in 55 animals from an Iberian x Landrace cross (IBMAP) according to three criteria: detected in at least two animals, contained three or more consecutive SNPs and recalled by at least two programs. Mendelian inheritance of CNVRs was confirmed in animals belonging to several generations of the IBMAP cross. Subsequently, a segregation analysis of these CNVRs was performed in 372 additional animals from the IBMAP cross and its distribution was studied in 133 unrelated pig samples from different geographical origins. Five out of seven analyzed CNVRs were validated by real time quantitative PCR.','SNP genotyping analysis,Probe signal intensity',null,'SNP array,qPCR','Not reported,Not reported','Sscrofa9,Sscrofa10.2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd45','9606','Human','Homo sapiens','22097934','ClinGen_Curated_Dosage_Sensitivity_Map','Collection','http://www.clinicalgenome.org','Genes/genomic regions with sufficient evidence supporting (pathogenic) or refuting (benign) dosage sensitivity as a mechanism for disease. Evidence is evaluated on a continual basis by the ClinGen Structural Variation Working Group as described in Riggs et al. 2012.','Curated',null,'Curated','Not reported','GRCh38,GRCh37,GRCh38.p2,NCBI36,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd46','9606','Human','Homo sapiens','21397061','Campbell_et_al_2011','Control Set',null,'Copy number variants (CNVs) can reach appreciable frequencies in the human population, and several of these copy number polymorphisms (CNPs) have been recently associated with human diseases including lupus, psoriasis, Crohn disease, and obesity. Despite new advances, significant biases remain in terms of CNP discovery and genotyping. We developed a novel method based on single channel intensity data and benchmarked against copy numbers determined from sequencing read-depth to successfully obtain CNP genotypes for 1489 CNPs from 487 human DNA samples from diverse ethnic backgrounds. This customized microarray was enriched for segmental duplication-rich regions and novel insertions of sequences not represented in the reference genome assembly or on standard single nucleotide polymorphism (SNP) microarray platforms. We observe that CNPs in segmental duplications are more likely to be population differentiated than CNPs in unique regions (p = 0.015) and that bi-allelic CNPs show greater stratification when compared to frequency-matched SNPs (p = 0.0026). Although bi-allelic CNPs show a strong correlation of copy number with flanking SNP genotypes, the majority of multi-copy CNPs do not (40% with r >0.8). We selected a subset of CNPs for further characterization in 1873 additional samples from 62 populations; this revealed striking population-differentiated structural variants in genes of clinical significance such as the OCLN gene, a tight junction protein involved in hepatitis C viral entry. Our new microarray design allows these variants to be rapidly tested for disease association and our results suggest that CNPs (especially those not in linkage disequilibrium with SNPs) may have contributed disproportionately to human diversity and selection.','Probe signal intensity,Probe signal intensity','Agilent Genomic Workbench ADM2 algorithm,Agilent Genomic Workbench ADM2 algorithm','Oligo aCGH,Oligo aCGH','Agilent Eichler Human CNP 180K v2.1,Agilent Eichler Human CNP 180K v3.0','GRCh37.p13,GRCh38,NCBI36,GRCh38.p2,GRCh37,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd47','9606','Human','Homo sapiens','21111241','Kidd_et_al_2010b','Control Set','http://hgsv.washington.edu/','A human genome structural variation sequencing resource reveals insights into mutational mechanisms','Sequence alignment',null,'Sequencing','Capillary','GRCh37.p13,GRCh38,GRCh38.p2,GRCh37,GRCh38.p2,NCBI36'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd48','10090','Mouse','Mus musculus','19270705','Henrichsen_et_al_2009','Control Set',null,'We identified autosomal copy number variants in inbred mouse strains and field mice, using oligonucleotide-based array comparative genome hybridisation.','Probe signal intensity,Probe signal intensity,Probe signal intensity,Probe signal intensity',null,'Oligo aCGH,Oligo aCGH,Oligo aCGH,Oligo aCGH','GPL11047,GPL10992,Custom CGH array tiling selected regions on MM6 [2007-04-16_MM6_GK_CGH],MM6 385K Whole Genome Tiling array','MGSCv34,GRCm38,MGSCv37,GRCm38.p3'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd49','9606','Human','Homo sapiens','20534489','Teague_et_al_2010','Control Set','http://www.lmcg.wisc.edu','We analyzed four phenotypically normal human genomes using Optical Mapping, a single-molecule platform for genome structure analysis.','Paired-end mapping,Optical mapping,Probe signal intensity,Probe signal intensity,Probe signal intensity,Paired-end mapping,Probe signal intensity,Probe signal intensity,One end anchored assembly,Probe signal intensity','SOMA, Gentig, iterative assembly','Sequencing,Optical mapping,Oligo aCGH,Sequencing,Oligo aCGH,Sequencing,Oligo aCGH,Oligo aCGH,Oligo aCGH,BAC aCGH','Not reported,Optical Mapping,[Mapping250K_Nsp] Affymetrix Mapping 250K Nsp SNP Array,[Mapping250K_Sty] Affymetrix Mapping 250K Sty2 SNP Array,Not reported,Not reported,Not reported,Not reported,Not reported,Not reported','GRCh37.p13,GRCh37,GRCh38.p2,NCBI35,GRCh38,GRCh38.p2'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd5','10090','Mouse','Mus musculus','17206864','Graubert_et_al_2007','Control Set',null,'We chose to study 21 well-characterized inbred mouse strains that are the focus of an international effort to measure, catalog, and disseminate phenotype data. We performed comparative genomic hybridization using long oligomer arrays to characterize CNVs in these strains.','Probe signal intensity','Bioconductor','Oligo aCGH','NimbleGen Mouse 388K NCBI34','MGSCv34,GRCm38,GRCm38.p3,MGSCv37'); Insert into DGVA_STUDY_BROWSER (STUDY_ACCESSION,TAXONOMY_IDS,COMMON_NAMES,SCIENTIFIC_NAMES,PUBMED_IDS,DISPLAY_NAME,STUDY_TYPE,STUDY_URL,STUDY_DESCRIPTION,ANALYSIS_TYPES,DETECTION_METHODS,METHOD_TYPES,PLATFORM_NAMES,ASSEMBLY_NAMES) values ('nstd50','9606','Human','Homo sapiens','21212237','Arlt_et_al_2011','Control Set',null,'To compare available whole-genome approaches for scoring genome structural variation, data from both 1M feature single-nucleotide polymorphism (SNP) arrays and low-density mate-pair sequencing were mined using a new computational platform, VAMP, to detect both constitutional CNVs in a single individual as well as de novo CNVs induced by the replication stressor aphidicolin.','Paired-end mapping,SNP genotyping analysis,SNP genotyping analysis','VAMP, http://tewlab.path.med.umich.edu/vamp/doc/vampDoc.html,VAMP, http://tewlab.path.med.umich.edu/vamp/doc/vampDoc.html,VAMP, http://tewlab.path.med.umich.edu/vamp/doc/vampDoc.html','Sequencing,SNP array,SNP array','Not reported,Illumina HumanOmni1-Quad BeadChip,GPL8882','GRCh37.p13,GRCh38.p2,GRCh38.p2,GRCh37,NCBI36,GRCh38');
CREATE STREAM customers_by_area_code WITH (KAFKA_TOPIC='customers_by_area_code') AS SELECT customers.rowkey as id, firstname, lastname, phonenumber FROM customers PARTITION BY REGEXREPLACE(phonenumber, '\\(?(\\d{3}).*', '$1') EMIT CHANGES;
<filename>Sql/dbo/Stored Procedures/Users/User_Enable.sql CREATE PROCEDURE [dbo].[User_Enable] @userId int AS UPDATE Users SET enabled=1 WHERE userId=@userId
<reponame>BuildJet/sat4envi ALTER TABLE license_grant ADD COLUMN owner BOOLEAN; UPDATE license_grant SET owner = FALSE; ALTER TABLE license_grant ALTER COLUMN owner SET NOT NULL;
BEGIN TRANSACTION ALTER TABLE dbo.green_template DROP CONSTRAINT FK_green_template_template ALTER TABLE dbo.green_template WITH NOCHECK ADD CONSTRAINT FK_green_template_template FOREIGN KEY ( templateId ) REFERENCES dbo.template ( id ) ON UPDATE NO ACTION ON DELETE CASCADE COMMIT
DROP VIEW IF EXISTS schedule_active_speakers_wo_ticket CASCADE; CREATE VIEW schedule_active_speakers_wo_ticket AS SELECT DISTINCT s.* FROM schedule_active_speakers s WHERE s.uid NOT IN ( SELECT uid FROM schedule_active_speakers_w_ticket ) ORDER BY s.uid;
<reponame>BA1bers/Employee-Tracker<filename>db/schema.sql DROP DATABASE Employees; CREATE DATABASE Employees; USE Employees; CREATE TABLE Department ( id INT PRIMARY KEY AUTO_INCREMENT NOT NULL, name VARCHAR (30) ); CREATE TABLE Role ( id INT PRIMARY KEY AUTO_INCREMENT NOT NULL, title VARCHAR (30) NOT NULL, salary DECIMAL NOT NULL, department_id int, FOREIGN KEY (department_id) REFERENCES Department(id) ); CREATE TABLE Employee( id INT PRIMARY KEY AUTO_INCREMENT NOT NULL, first_name VARCHAR(30) NOT NULL, last_name VARCHAR (30) NOT NULL, role_id INT, manager_id INT, FOREIGN KEY (role_id) REFERENCES Role(id), FOREIGN KEY (manager_id) REFERENCES employee(id) );
USE TelerikAcademy SELECT TOP 5 * FROM Employees WHERE Salary > 50000 ORDER BY Salary DESC
<gh_stars>0 /* SQLyog Community Edition- MySQL GUI v8.01 MySQL - 5.5.8-log : Database - login ********************************************************************* / /!40101 SET NAMES utf8 /; /!40101 SET SQL_MODE=''/; /!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 /; /!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' /; CREATE DATABASE /!32312 IF NOT EXISTS/`login` /!40100 DEFAULT CHARACTER SET latin1 /; USE `login`; /Table structure for table `user` / DROP TABLE IF EXISTS `user`; CREATE TABLE `user` ( `id` bigint(20) NOT NULL AUTO_INCREMENT, `username` varchar(250) DEFAULT NULL, `password` text, `level` enum('admin','member') DEFAULT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=latin1; /Data for the table `user` / insert into `user`(`id`,`username`,`password`,`level`) values (2,'admin','<PASSWORD>','admin'),(3,'member','<PASSWORD>','member'); /!40101 SET SQL_MODE=@OLD_SQL_MODE /; /!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
<reponame>darkares23/holbertonschool-higher_level_programming -- Write a script that creates a table second_table in the database -- hbtn_0c_0 in your MySQL server and add multiples rows. CREATE TABLE IF NOT EXISTS second_table (id INT, name VARCHAR(256), score INT); INSERT INTO second_table (id, name, score) VALUES (1, "John", 10), (2, "Alex", 3), (3, "Bob", 14), (4, "George", 8);
TRUNCATE Person; INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (1, 'Nurse, Technician', 'Tania', 'Nienow', '13374 Wiza Mission Suite 803\nColebu', '1989-07-30', '305-928-6654x79'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (2, 'Nurse, Technician', 'Norene', 'Crona', '8687 Wilmer Extension Apt. 833\nNick', '1992-03-28', '02108981009'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (3, 'Nurse, Technician', 'Abdiel', 'Trantow', '1993 Gretchen Glen\nNew Sadie, WY 07', '1997-07-07', '1-596-105-6095'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (4, 'Nurse, Technician', 'Ezequiel', 'Mueller', '039 Roderick Well Apt. 024\nMantebur', '1982-06-18', '037-384-0016x26'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (5, 'Nurse, Technician', 'Monique', 'Altenwerth', '6310 Lou Plains\nD\'Amoreborough, VT', '1984-03-21', '947.686.5453x86'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (6, 'Nurse, Volunteer', 'Eva', 'Conn', '71278 Satterfield Spring Apt. 480\nE', '1987-01-23', '00769408136'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (7, 'Nurse, Volunteer', 'Letitia', 'Schamberger', '3701 Fisher Trail Apt. 323\nRippinpo', '1972-07-12', '1-761-429-7286x'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (8, 'Nurse, Volunteer', 'Rudy', 'Walker', '43165 Maci Flats\nJoanchester, OH 33', '1964-01-24', '(861)899-3864x7'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (9, 'Nurse, Volunteer', 'Frida', 'Heaney', '64650 Arvel Mews\nEast Damaris, MO 9', '1972-05-21', '037-866-3024'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (10, 'Nurse, Volunteer', 'Audrey', 'Jacobs', '086 Rice Trail\nEast Raina, NC 41735', '1980-03-25', '1-712-039-0718'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (11, 'Nurse', 'Kris', 'Kozey', '000 Renner Greens\nNew Napoleon, KY', '1985-04-15', '(137)893-0976'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (12, 'Nurse', 'Cordell', 'Cassin', '18391 Hulda Mountain\nGerardhaven, N', '1987-03-10', '033.131.2250x40'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (13, 'Nurse', 'Emelie', 'Kling', '603 Stiedemann Cliffs Suite 544\nEas', '1973-04-17', '773.080.7362x44'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (14, 'Nurse', 'Raven', 'Reinger', '46640 Cloyd Tunnel Suite 491\nNew Ka', '1979-06-01', '669-966-3219'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (15, 'Nurse', 'Geo', 'Pfannerstill', '63548 Franco Ford Apt. 852\nSouth Fr', '1988-11-13', '597.817.9726x27'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (16, 'Nurse', 'Genesis', 'Frami', '33931 Schmitt Inlet Apt. 862\nFoster', '1995-11-04', '1-632-116-3225x'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (17, 'Nurse', 'Deangelo', 'Daugherty', '10495 Velda Crest\nWisokyberg, NC 81', '1989-07-28', '469-552-1708'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (18, 'Nurse', 'Roxanne', 'Labadie', '448 Regan Plains Apt. 597\nPort Joyc', '1971-08-27', '712-290-8928'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (19, 'Nurse', 'Eliza', 'Kerluke', '48235 Vandervort Fords Apt. 049\nSou', '1989-09-24', '(280)143-7487x9'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (20, 'Nurse', 'Donato', 'Marks', '88164 Shanel Flats\nCharlottestad, N', '2000-02-17', '539.014.7331'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (21, 'Nurse', 'Vicky', 'Shanahan', '3002 Lowe Path Apt. 885\nHesselside,', '1993-01-03', '587.650.6254x58'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (22, 'Nurse', 'Dallas', 'Hilll', '162 Cleo Place\nMargaretechester, WV', '1992-05-26', '(150)646-3738'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (23, 'Nurse', 'Fannie', 'Willms', '990 Jovani Throughway Suite 019\nSid', '1993-09-07', '616.303.2994'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (24, 'Nurse', 'Callie', 'McDermott', '84807 Sanford Viaduct Apt. 450\nVlad', '1994-08-21', '00728365256'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (25, 'Nurse', 'Gisselle', 'Rogahn', '7313 Antwan Port Suite 540\nLamarhav', '2001-03-27', '+20(5)581667610'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (26, 'Nurse', 'Liliane', 'Bauch', '09486 Heidi Pike\nNew Maureen, VT 63', '1981-10-24', '(554)788-7822x6'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (27, 'Nurse', 'Edyth', 'Reichert', '1748 Beahan Meadow Suite 855\nSouth', '1984-10-01', '1-501-632-1698'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (28, 'Nurse', 'Shanie', 'Berge', '87456 Peter Keys\nHermanville, HI 39', '1999-09-18', '+91(4)445885775'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (29, 'Nurse', 'Charles', 'Schamberger', '55066 Richard Plains Apt. 901\nNew M', '1987-06-22', '1-149-268-5066x'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (30, 'Nurse', 'Natalia', 'Spencer', '615 Aniya Pass\nSouth Mikel, MN 1260', '1990-06-06', '01154953077'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (31, 'Patient', 'Iva', 'Gerlach', '632 Davon Centers\nPaucekborough, SC', '1990-08-20', '(060)651-9822'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (32, 'Patient', 'Davon', 'Towne', '66823 Brent Cliffs\nLake Weldonton,', '1987-12-24', '(634)344-3957x5'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (33, 'Patient', 'Miles', 'Nicolas', '6817 Lilliana Port\nWest Carissa, NH', '1989-06-28', '140.234.7527x80'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (34, 'Patient', 'Lue', 'Kilback', '737 Sawayn Street\nSouth Don, NC 935', '1985-10-02', '255-386-8107'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (35, 'Patient', 'Reece', 'Beatty', '269 Romaine Views\nNew Ariborough, T', '1984-10-01', '674-740-4834x60'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (36, 'Patient', 'Jane', 'Jacobi', '7731 Davis Ridges\nLake Gunner, AK 6', '2010-07-18', '+26(3)588297522'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (37, 'Patient', 'Odie', 'Heller', '80772 Walsh Ways Suite 959\nBayleefu', '2004-08-16', '063-562-4423'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (38, 'Patient', 'Trey', 'Powlowski', '01202 Jeremie Inlet\nRitchietown, MS', '2009-12-12', '(934)117-4178x8'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (39, 'Patient', 'Jackeline', 'Armstrong', '12346 McClure Points Apt. 401\nBeula', '1981-10-09', '1-827-898-9314x'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (40, 'Patient', 'Leonor', 'Abernathy', '648 Verda Radial Suite 386\nSchimmel', '1979-07-31', '741.974.0633x98'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (41, 'Patient', 'Lou', 'Schultz', '54027 Efren Mountain Suite 852\nGerl', '1994-03-21', '01780538490'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (42, 'Patient', 'Lottie', 'Moen', '8885 Abernathy Extensions\nNorth Ame', '1990-02-05', '03485369158'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (43, 'Patient', 'Annette', 'Watsica', '070 Remington Ports\nEbbaville, IA 1', '2003-02-09', '816-702-9952x51'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (44, 'Patient', 'Mekhi', 'Donnelly', '99198 Dameon Extension\nNorth Ned, U', '2004-08-17', '+18(3)871497738'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (45, 'Patient', 'Zion', 'Bogisich', '7435 Denesik Pass Suite 357\nBeattyv', '1988-10-22', '01561620600'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (46, 'Patient', 'Walter', 'Pouros', '04435 Medhurst Cliffs Suite 010\nEdy', '1987-09-11', '053.905.7624x07'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (47, 'Patient', 'Evalyn', 'Anderson', '380 Candida Crossroad Suite 649\nRei', '1987-12-30', '221-196-0241'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (48, 'Patient', 'Ubaldo', 'Rippin', '379 Kemmer Locks\nPort Johnnyside, M', '2004-04-23', '(364)226-7400x0'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (49, 'Patient', 'Melba', 'Bashirian', '58444 Nader Stream Apt. 991\nWest Di', '1998-01-20', '547-615-8988x21'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (50, 'Patient', 'Jairo', 'Haag', '84852 Kaia Fort Apt. 355\nNew Gillia', '2001-12-17', '05423016580'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (51, 'Physician', 'Leanna', 'Purdy', '29295 Prosacco Union Suite 563\nKris', '1980-11-05', '280.029.5230x44'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (52, 'Physician', 'Damon', 'Beer', '02496 Moore Point Apt. 954\nWest Ryl', '1975-01-28', '861-377-2612'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (53, 'Physician', 'Melvin', 'Tremblay', '659 Sporer Road\nRaleighville, VA 21', '1972-08-05', '(920)551-9869x2'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (54, 'Physician', 'Rocky', 'Hammes', '772 Randal Green\nSamanthaside, UT 7', '1986-03-12', '886-070-5221'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (55, 'Physician', 'Evalyn', 'Zieme', '92956 Eli Isle Suite 192\nRaynorport', '1977-11-17', '1-174-244-2218'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (56, 'Physician', 'Lisette', 'Cummings', '445 Gleichner Hill\nSabrynaland, FL', '1970-08-29', '+99(6)843778064'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (57, 'Physician', 'Taylor', 'Hayes', '16102 Roslyn Way Suite 773\nEast Jer', '1971-03-17', '00202927640'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (58, 'Physician', 'Jolie', 'Upton', '3584 Kuphal Locks\nEzramouth, UT 592', '1998-04-03', '(046)768-7981x7'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (59, 'Physician', 'Lottie', 'Kuhn', '1177 Werner Curve Apt. 158\nPauceksi', '1977-04-22', '835.100.1255'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (60, 'Physician', 'Elvie', 'Schulist', '8276 Hosea Ferry Suite 296\nJaleelbu', '1970-11-21', '264.160.7103x05'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (61, 'Technician', 'Larue', 'Boehm', '1336 Fadel Trail\nKiannahaven, SC 80', '1987-05-11', '860-241-9413x08'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (62, 'Technician', 'Skye', 'Crona', '4116 Quigley Lights\nCronintown, MA', '1975-02-11', '+34(3)503005419'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (63, 'Technician', 'Lavinia', 'Frami', '0990 Kamille Coves\nSouth Marion, UT', '1972-01-02', '(960)858-2729'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (64, 'Technician', 'Seth', 'Bogisich', '136 Ferry Divide\nLindshire, IA 1110', '1999-07-25', '1-830-383-4829x'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (65, 'Technician', 'Melvin', 'Auer', '777 Brekke Wall Apt. 429\nBechtelarb', '1991-07-05', '(798)265-1055x0'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (66, 'Technician', 'Paolo', 'Klocko', '977 Rita Canyon Suite 474\nSouth Ima', '1984-06-05', '836.599.5908x07'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (67, 'Technician', 'Griffin', 'Dooley', '89559 Rutherford Squares\nVivienhave', '1976-12-26', '1-480-157-4958x'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (68, 'Technician', 'Freddie', 'Rice', '762 Pacocha Flat\nCadetown, NH 59885', '1969-02-13', '+13(4)726586579'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (69, 'Technician', 'Trudie', 'Schulist', '623 O\'Reilly Walks\nEvabury, MN 7292', '1998-04-04', '(199)349-6840'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (70, 'Technician', 'Maryse', 'Goldner', '7794 Swift Knolls Apt. 022\nAnnamaet', '1982-09-28', '(343)042-9541'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (71, 'Technician', 'Bianka', 'Morar', '578 Batz Drives\nLake Jordynview, CT', '1992-02-23', '1-505-990-4555'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (72, 'Technician', 'Gilberto', 'Stracke', '35969 Lulu Inlet Apt. 986\nEast Amel', '1988-09-10', '05583330301'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (73, 'Technician', 'Misty', 'Lueilwitz', '65042 Kiehn Tunnel Suite 802\nPort A', '1979-07-02', '(451)733-7393x5'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (74, 'Technician', 'Kyra', 'O\'Conner', '0605 Predovic Mountains Suite 330\nZ', '1990-05-23', '602.918.7010x76'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (75, 'Technician', 'Mortimer', 'Fay', '36687 Collier Route Suite 462\nWest', '1980-08-23', '1-909-536-9844'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (76, 'Technician', 'Elinor', 'Dooley', '761 Dominic Place Suite 092\nPort Al', '1992-02-12', '017.873.5461x55'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (77, 'Technician', 'Abdul', 'Johns', '045 Spencer Fords\nGailstad, MT 0792', '1972-08-31', '337-286-8325x82'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (78, 'Technician', 'Dane', 'Douglas', '9005 Hudson Hollow Suite 425\nEstell', '1987-09-30', '855-182-7880'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (79, 'Technician', 'Janice', 'Hamill', '983 Mitchell Mission\nNorth Era, AL', '1993-04-02', '349.218.0233'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (80, 'Technician', 'Carmella', 'Mayer', '69609 Jewel Keys\nLubowitzmouth, MO', '1984-01-10', '643.686.4059'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (81, 'Volunteer', 'Serenity', 'Hudson', '97295 Christina Court Apt. 155\nOkun', '1988-02-10', '06392600656'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (82, 'Volunteer', 'Ross', 'Kovacek', '1348 Shawn Point\nBrownfort, NJ 0821', '1977-01-25', '(321)252-7391x8'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (83, 'Volunteer', 'Delia', 'Murazik', '98815 Wiley Ports\nMcKenziefort, CO', '1983-12-30', '+51(0)180754118'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (84, 'Volunteer', 'Ashly', 'Nolan', '509 Kassulke Rest Suite 756\nSouth A', '1993-10-06', '1-558-988-8030'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (85, 'Volunteer', 'Clyde', 'Bernier', '436 Jannie Wells Suite 721\nPort Can', '1982-07-10', '901-010-2190'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (86, 'Volunteer', 'Virgie', 'Nienow', '96908 Mueller Stream\nNorth Erik, IN', '1967-04-26', '1-055-349-8055'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (87, 'Volunteer', 'Cindy', 'Heller', '011 Lavon Isle\nSatterfieldton, TX 8', '1992-06-09', '(752)195-6226x8'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (88, 'Volunteer', 'Fritz', 'Farrell', '05259 Hahn Estate\nEast Dejah, OR 55', '1987-12-10', '196.420.6357x74'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (89, 'Volunteer', 'Ethel', 'Ward', '86241 Quitzon Trafficway Apt. 449\nN', '1986-10-06', '621.440.7554'); INSERT INTO `Person` (`PersonID`, `PersonRole`, `FirstName`, `LastName`, `Address`, `Birthday`, `PhoneNumber`) VALUES (90, 'Volunteer', 'Magali', 'Lueilwitz', '86072 Ullrich Garden\nLake Agnes, RI', '1978-05-27', '00636075143'); # # TABLE STRUCTURE FOR: Item # TRUNCATE Item; INSERT INTO `Item` (`ItemID`, `ItemName`, `ItemDescription`, `ItemUnitCost`) VALUES (13000, 'Scalpel', 'Extremely sharp bladed instrument used for surgery', '6.29'); INSERT INTO `Item` (`ItemID`, `ItemName`, `ItemDescription`, `ItemUnitCost`) VALUES (13001, 'Bedpan', 'For patients who are unconscious or too weak to sit up or walk to the toilet to defecate', '7.38'); INSERT INTO `Item` (`ItemID`, `ItemName`, `ItemDescription`, `ItemUnitCost`) VALUES (13002, 'Gauze Sponge', 'Absorb blood and other fluids as well as clean wounds', '1.50'); INSERT INTO `Item` (`ItemID`, `ItemName`, `ItemDescription`, `ItemUnitCost`) VALUES (13003, 'Tuning Fork', 'To test for deafness and to categorize it', '4.25'); INSERT INTO `Item` (`ItemID`, `ItemName`, `ItemDescription`, `ItemUnitCost`) VALUES (13004, 'Endoscope', 'Used to look inside the gastrointestinal tract, used mainly in surgery or by surgical consultants', '633.66'); INSERT INTO `Item` (`ItemID`, `ItemName`, `ItemDescription`, `ItemUnitCost`) VALUES (13005, 'Otoscope', 'to look into the external ear cavity', '125.20'); INSERT INTO `Item` (`ItemID`, `ItemName`, `ItemDescription`, `ItemUnitCost`) VALUES (13006, 'Reflex Hammer', 'Test motor reflexes of the body', '10.10'); INSERT INTO `Item` (`ItemID`, `ItemName`, `ItemDescription`, `ItemUnitCost`) VALUES (13007, 'Transfusion Kit', 'To transfuse blood and blood products', '1250.75'); INSERT INTO `Item` (`ItemID`, `ItemName`, `ItemDescription`, `ItemUnitCost`) VALUES (13008, 'Tongue Depressor', 'For use in oral examination', '5.55'); INSERT INTO `Item` (`ItemID`, `ItemName`, `ItemDescription`, `ItemUnitCost`) VALUES (13009, 'Gas Cylinder', 'a supply of oxygen, nitrous oxide, carbon dioxide, etc.', '199.50'); # # TABLE STRUCTURE FOR: CareCenter # TRUNCATE CareCenter; INSERT INTO `CareCenter` (`CareCenterID`, `CareCenterName`, `CareCenterLocation`, `NurseIDInCharge`) VALUES (11000, 'Ward Zero', '221 101st Street, Nanaimo', 7002); INSERT INTO `CareCenter` (`CareCenterID`, `CareCenterName`, `CareCenterLocation`, `NurseIDInCharge`) VALUES (11001, 'Newlife Clinic', '997 Aaron Way, Nanaimo', 7003); INSERT INTO `CareCenter` (`CareCenterID`, `CareCenterName`, `CareCenterLocation`, `NurseIDInCharge`) VALUES (11002, 'Ultra Care', '136 Acacia Avenue, Nanaimo', 7006); INSERT INTO `CareCenter` (`CareCenterID`, `CareCenterName`, `CareCenterLocation`, `NurseIDInCharge`) VALUES (11003, 'FowerFlake', '687 Alder Way', 7007); INSERT INTO `CareCenter` (`CareCenterID`, `CareCenterName`, `CareCenterLocation`, `NurseIDInCharge`) VALUES (11004, 'West Valley Clinic', ' 062 Applecross Road, Nanaimo', 7009); INSERT INTO `CareCenter` (`CareCenterID`, `CareCenterName`, `CareCenterLocation`, `NurseIDInCharge`) VALUES (11005, 'East Valley Clinic', ' 287 Buck Road, Nanaimo', 7017); INSERT INTO `CareCenter` (`CareCenterID`, `CareCenterName`, `CareCenterLocation`, `NurseIDInCharge`) VALUES (11006, 'Hope Peak', ' 720 Butternut Drive, Nanaimo', 7019); INSERT INTO `CareCenter` (`CareCenterID`, `CareCenterName`, `CareCenterLocation`, `NurseIDInCharge`) VALUES (11007, 'Combination Register Clinic', ' 247 Botsford Place, Nanaimo', 7026); INSERT INTO `CareCenter` (`CareCenterID`, `CareCenterName`, `CareCenterLocation`, `NurseIDInCharge`) VALUES (11008, 'Body Place Clinic', '300 Early Drive, Nanaimo', 7027); INSERT INTO `CareCenter` (`CareCenterID`, `CareCenterName`, `CareCenterLocation`, `NurseIDInCharge`) VALUES (11009, 'Silver Health Group', '412 Emblem Road, Nanaimo', 7029); # # TABLE STRUCTURE FOR: Bed # TRUNCATE Bed; INSERT INTO `Bed` (`BedID`, `BedNumber`, `RoomNumber`, `CareCenterID`, `PatientID`) VALUES (12000, 702, 359, 11000, 2000); INSERT INTO `Bed` (`BedID`, `BedNumber`, `RoomNumber`, `CareCenterID`, `PatientID`) VALUES (12001, 3907, 925, 11001, 2001); INSERT INTO `Bed` (`BedID`, `BedNumber`, `RoomNumber`, `CareCenterID`, `PatientID`) VALUES (12002, 7366, 227, 11002, 2002); INSERT INTO `Bed` (`BedID`, `BedNumber`, `RoomNumber`, `CareCenterID`, `PatientID`) VALUES (12003, 1525, 837, 11003, 2003); INSERT INTO `Bed` (`BedID`, `BedNumber`, `RoomNumber`, `CareCenterID`, `PatientID`) VALUES (12004, 2541, 322, 11004, 2004); INSERT INTO `Bed` (`BedID`, `BedNumber`, `RoomNumber`, `CareCenterID`, `PatientID`) VALUES (12005, 26, 224, 11005, 2005); INSERT INTO `Bed` (`BedID`, `BedNumber`, `RoomNumber`, `CareCenterID`, `PatientID`) VALUES (12006, 336, 444, 11006, 2006); INSERT INTO `Bed` (`BedID`, `BedNumber`, `RoomNumber`, `CareCenterID`, `PatientID`) VALUES (12007, 969, 548, 13007, 2007); INSERT INTO `Bed` (`BedID`, `BedNumber`, `RoomNumber`, `CareCenterID`, `PatientID`) VALUES (12008, 62, 275, 11008, 2008); INSERT INTO `Bed` (`BedID`, `BedNumber`, `RoomNumber`, `CareCenterID`, `PatientID`) VALUES (12009, 880, 271, 11009, 2009); # # TABLE STRUCTURE FOR: CareCenterNurse # TRUNCATE CareCenterNurse; INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7000, 11000); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7001, 11001); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7002, 11002); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7003, 11003); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7004, 11004); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7005, 11005); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7006, 11006); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7007, 11007); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7008, 11008); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7009, 11009); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7010, 11000); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7011, 11001); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7012, 11002); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7013, 11003); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7014, 11004); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7015, 11005); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7016, 11006); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7017, 11007); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7018, 11008); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7019, 11009); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7020, 11000); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7021, 11001); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7022, 11002); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7023, 11003); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7024, 11004); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7025, 11005); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7026, 11006); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7027, 11007); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7028, 11008); INSERT INTO `CareCenterNurse` (`NurseID`, `CareCenterID`) VALUES (7029, 11009); # # TABLE STRUCTURE FOR: CareCenterPhysician # TRUNCATE CareCenterPhysician; INSERT INTO `CareCenterPhysician` (`PhysicianID`, `CareCenterID`) VALUES (5000, 11000); INSERT INTO `CareCenterPhysician` (`PhysicianID`, `CareCenterID`) VALUES (5001, 11001); INSERT INTO `CareCenterPhysician` (`PhysicianID`, `CareCenterID`) VALUES (5002, 11002); INSERT INTO `CareCenterPhysician` (`PhysicianID`, `CareCenterID`) VALUES (5003, 11003); INSERT INTO `CareCenterPhysician` (`PhysicianID`, `CareCenterID`) VALUES (5004, 11004); INSERT INTO `CareCenterPhysician` (`PhysicianID`, `CareCenterID`) VALUES (5005, 11005); INSERT INTO `CareCenterPhysician` (`PhysicianID`, `CareCenterID`) VALUES (5006, 11006); INSERT INTO `CareCenterPhysician` (`PhysicianID`, `CareCenterID`) VALUES (5007, 11007); INSERT INTO `CareCenterPhysician` (`PhysicianID`, `CareCenterID`) VALUES (5008, 11008); INSERT INTO `CareCenterPhysician` (`PhysicianID`, `CareCenterID`) VALUES (5009, 11009); # # TABLE STRUCTURE FOR: ClinicRecords # TRUNCATE clinicrecords; INSERT INTO `ClinicRecords` (`DateStart`, `DateEnd`, `EmployeeHours`, `EmployeeID`, `CareCenterID`) VALUES ('2018-03-07', '2018-03-24', 82, 6000, 11000); INSERT INTO `ClinicRecords` (`DateStart`, `DateEnd`, `EmployeeHours`, `EmployeeID`, `CareCenterID`) VALUES ('2018-03-08', '2018-03-27', 86, 6001, 11001); INSERT INTO `ClinicRecords` (`DateStart`, `DateEnd`, `EmployeeHours`, `EmployeeID`, `CareCenterID`) VALUES ('2018-03-09', '2018-03-25', 74, 6002, 11002); INSERT INTO `ClinicRecords` (`DateStart`, `DateEnd`, `EmployeeHours`, `EmployeeID`, `CareCenterID`) VALUES ('2018-03-07', '2018-03-15', 43, 6003, 11003); INSERT INTO `ClinicRecords` (`DateStart`, `DateEnd`, `EmployeeHours`, `EmployeeID`, `CareCenterID`) VALUES ('2018-03-06', '2018-03-14', 44, 6004, 11004); INSERT INTO `ClinicRecords` (`DateStart`, `DateEnd`, `EmployeeHours`, `EmployeeID`, `CareCenterID`) VALUES ('2018-03-07', '2018-03-22', 79, 6046, 11005); INSERT INTO `ClinicRecords` (`DateStart`, `DateEnd`, `EmployeeHours`, `EmployeeID`, `CareCenterID`) VALUES ('2018-03-05', '2018-03-13', 42, 6030, 11006); INSERT INTO `ClinicRecords` (`DateStart`, `DateEnd`, `EmployeeHours`, `EmployeeID`, `CareCenterID`) VALUES ('2018-03-02', '2018-03-25', 88, 6031, 11007); INSERT INTO `ClinicRecords` (`DateStart`, `DateEnd`, `EmployeeHours`, `EmployeeID`, `CareCenterID`) VALUES ('2018-03-07', '2018-03-15', 47, 6032, 11008); INSERT INTO `ClinicRecords` (`DateStart`, `DateEnd`, `EmployeeHours`, `EmployeeID`, `CareCenterID`) VALUES ('2018-03-09', '2018-03-24', 76, 6033, 11009); # # TABLE STRUCTURE FOR: Employee # TRUNCATE Employee; INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6000, 'Nurse, Technician', 11003, 1); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6001, 'Nurse, Technician', 11001, 2); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6002, 'Nurse, Technician', 11008, 3); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6003, 'Nurse, Technician', 11000, 4); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6004, 'Nurse, Technician', 11006, 5); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6005, 'Nurse', 11009, 6); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6006, 'Nurse', 11006, 7); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6007, 'Nurse', 11004, 8); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6008, 'Nurse', 11002, 9); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6009, 'Nurse', 11001, 10); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6010, 'Nurse', 11000, 11); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6011, 'Nurse', 11007, 12); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6012, 'Nurse', 11003, 13); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6013, 'Nurse', 11005, 14); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6014, 'Nurse', 11006, 15); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6015, 'Nurse', 11009, 16); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6016, 'Nurse', 11008, 17); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6017, 'Nurse', 11002, 18); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6018, 'Nurse', 11005, 19); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6019, 'Nurse', 11007, 20); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6020, 'Nurse', 11000, 21); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6021, 'Nurse', 11003, 22); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6022, 'Nurse', 11004, 23); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6023, 'Nurse', 11001, 24); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6024, 'Nurse', 11005, 25); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6025, 'Nurse', 11006, 26); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6026, 'Nurse', 11008, 27); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6027, 'Nurse', 11007, 28); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6028, 'Nurse', 11009, 29); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6029, 'Nurse', 11005, 30); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6030, 'Technician', 11000, 61); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6031, 'Technician', 11002, 62); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6032, 'Technician', 11007, 63); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6033, 'Technician', 11004, 64); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6034, 'Technician', 11009, 65); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6035, 'Technician', 11003, 66); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6036, 'Technician', 11006, 67); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6037, 'Technician', 11005, 68); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6038, 'Technician', 11001, 69); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6039, 'Technician', 11008, 70); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6040, 'Technician', 11007, 1); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6041, 'Technician', 11000, 72); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6042, 'Technician', 11003, 73); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6043, 'Technician', 11002, 74); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6044, 'Technician', 11005, 75); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6045, 'Technician', 11009, 76); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6046, 'Technician', 11001, 77); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6047, 'Technician', 11004, 78); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6048, 'Technician', 11006, 79); INSERT INTO `Employee` (`EmployeeID`, `EmployeeTypes`, `CareCenterID`, `PersonID`) VALUES (6049, 'Technician', 11009, 80); # # TABLE STRUCTURE FOR: LabTechs # TRUNCATE LabTechs; INSERT INTO `LabTechs` (`LabratoryID`, `TechnicianID`) VALUES (10000, 9000); INSERT INTO `LabTechs` (`LabratoryID`, `TechnicianID`) VALUES (10001, 9001); INSERT INTO `LabTechs` (`LabratoryID`, `TechnicianID`) VALUES (10002, 9002); INSERT INTO `LabTechs` (`LabratoryID`, `TechnicianID`) VALUES (10003, 9003); INSERT INTO `LabTechs` (`LabratoryID`, `TechnicianID`) VALUES (10004, 9004); INSERT INTO `LabTechs` (`LabratoryID`, `TechnicianID`) VALUES (10005, 9005); INSERT INTO `LabTechs` (`LabratoryID`, `TechnicianID`) VALUES (10006, 9006); INSERT INTO `LabTechs` (`LabratoryID`, `TechnicianID`) VALUES (10007, 9007); INSERT INTO `LabTechs` (`LabratoryID`, `TechnicianID`) VALUES (10008, 9008); INSERT INTO `LabTechs` (`LabratoryID`, `TechnicianID`) VALUES (10009, 9009); # # TABLE STRUCTURE FOR: Labratory # TRUNCATE Labratory; INSERT INTO `Labratory` (`LabratoryID`, `LabratoryName`, `LabratoryLocation`, `TechnicianID`) VALUES (10000, 'Impedit', ' Parksville', 9000); INSERT INTO `Labratory` (`LabratoryID`, `LabratoryName`, `LabratoryLocation`, `TechnicianID`) VALUES (10001, 'Dolor', 'Nanaimo', 9001); INSERT INTO `Labratory` (`LabratoryID`, `LabratoryName`, `LabratoryLocation`, `TechnicianID`) VALUES (10002, 'Molestiae', ' Victoria', 9002); INSERT INTO `Labratory` (`LabratoryID`, `LabratoryName`, `LabratoryLocation`, `TechnicianID`) VALUES (10003, 'Ex', 'Nanaimo', 9003); INSERT INTO `Labratory` (`LabratoryID`, `LabratoryName`, `LabratoryLocation`, `TechnicianID`) VALUES (10004, 'Quo', 'Nanaimo', 9004); INSERT INTO `Labratory` (`LabratoryID`, `LabratoryName`, `LabratoryLocation`, `TechnicianID`) VALUES (10005, 'Minus', ' Victoria', 9005); INSERT INTO `Labratory` (`LabratoryID`, `LabratoryName`, `LabratoryLocation`, `TechnicianID`) VALUES (10006, 'Molestiae', ' Victoria', 9006); INSERT INTO `Labratory` (`LabratoryID`, `LabratoryName`, `LabratoryLocation`, `TechnicianID`) VALUES (10007, 'Sunt', 'Nanaimo', 9007); INSERT INTO `Labratory` (`LabratoryID`, `LabratoryName`, `LabratoryLocation`, `TechnicianID`) VALUES (10008, 'Dicta', ' Parksville', 9008); INSERT INTO `Labratory` (`LabratoryID`, `LabratoryName`, `LabratoryLocation`, `TechnicianID`) VALUES (10009, 'Nesciunt', 'Nanaimo', 9009); # # TABLE STRUCTURE FOR: Medication # TRUNCATE Medication; INSERT INTO `Medication` (`MedID`, `MedName`, `MedDescription`, `MedUnitCost`) VALUES (14000, 'Viagra', 'Gets the engine started.', '69.14'); INSERT INTO `Medication` (`MedID`, `MedName`, `MedDescription`, `MedUnitCost`) VALUES (14001, 'Tylenol', 'When you arent really in pain but think you are.', '15.99'); INSERT INTO `Medication` (`MedID`, `MedName`, `MedDescription`, `MedUnitCost`) VALUES (14002, 'Buckleys', 'Great tasting cough syrup for treating cold symptoms.', '20.18'); INSERT INTO `Medication` (`MedID`, `MedName`, `MedDescription`, `MedUnitCost`) VALUES (14003, 'Adderall', 'For treating ADHD..', '22.27'); INSERT INTO `Medication` (`MedID`, `MedName`, `MedDescription`, `MedUnitCost`) VALUES (14004, 'Muscle Relaxer', 'Relax the muscles.', '62.58'); INSERT INTO `Medication` (`MedID`, `MedName`, `MedDescription`, `MedUnitCost`) VALUES (14005, 'Morphine', 'Extremely Strong Painkiller.', '299.25'); INSERT INTO `Medication` (`MedID`, `MedName`, `MedDescription`, `MedUnitCost`) VALUES (14006, 'Benadryl', 'is an antihistamine mainly used to treat allergies.', '71.21'); INSERT INTO `Medication` (`MedID`, `MedName`, `MedDescription`, `MedUnitCost`) VALUES (14007, 'Haldol', 'An Anti Psychotic.', '321.99'); INSERT INTO `Medication` (`MedID`, `MedName`, `MedDescription`, `MedUnitCost`) VALUES (14008, 'Ziprasidone', 'helps restore the balance of certain natural substances in the brain', '72.99'); INSERT INTO `Medication` (`MedID`, `MedName`, `MedDescription`, `MedUnitCost`) VALUES (14009, 'Eflornithine', 'Drug used for the skin(can slow hair growth).', '132.28'); # # TABLE STRUCTURE FOR: Nurse # TRUNCATE Nurse; INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7000, ' no', 6000); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7001, ' no', 6001); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7002, 'yes', 6002); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7003, 'yes', 6003); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7004, ' no', 6004); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7005, ' no', 6005); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7006, 'yes', 6006); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7007, 'yes', 6007); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7008, ' no', 6008); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7009, 'yes', 6009); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7010, 'yes', 6010); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7011, 'yes', 6011); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7012, ' no', 6012); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7013, ' no', 6013); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7014, ' no', 6014); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7015, ' no', 6015); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7016, ' no', 6016); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7017, 'yes', 6017); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7018, ' no', 6018); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7019, 'yes', 6019); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7020, ' no', 6020); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7021, 'yes', 6021); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7022, 'yes', 6022); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7023, ' no', 6023); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7024, ' no', 6024); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7025, ' no', 6025); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7026, 'yes', 6026); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7027, 'yes', 6027); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7028, ' no', 6028); INSERT INTO `Nurse` (`NurseID`, `Certificate`, `EmployeeID`) VALUES (7029, 'yes', 6029); # # TABLE STRUCTURE FOR: Outpatient # TRUNCATE Outpatient; INSERT INTO `Outpatient` (`Outpatient`, `isOutpatient`) VALUES (0, ' no'); INSERT INTO `Outpatient` (`Outpatient`, `isOutpatient`) VALUES (1, 'yes'); # # TABLE STRUCTURE FOR: Patient # TRUNCATE Patient; INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2000, 31, '2003-09-04', '2003-10-12', '2003-11-20', 0, 5000, 4000, 11000); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2001, 32, '2011-11-18', '2011-12-03', '2011-12-30', 1, 5001, 4001, 11001); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2002, 33, '1985-03-01', '1985-04-01', '1985-06-13', 0, 5002, 4002, 11002); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2003, 34, '2012-05-21', '2012-06-15', '2012-08-23', 0, 5003, 4003, 11003); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2004, 35, '1975-12-12', '1976-01-07', '1976-04-20', 1, 5004, 4004, 11004); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2005, 36, '1985-04-19', '1985-05-21', '1985-6-29', 1, 5005, 4005, 11005); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2006, 37, '1992-04-17', '1992-05-09', '1992-07-12', 0, 5006, 4006, 11006); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2007, 38, '1999-07-08', '1999-07-29', '1999-10-18', 1, 5007, 4007, 11007); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2008, 39, '1989-04-18', '1989-05-17', '1989-10-09', 0, 5008, 4008, 11008); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2009, 40, '2016-11-01', '2016-11-22', '2017-02-23', 1, 5009, 4009, 11009); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2010, 41, '2003-10-04', '2003-11-02', '2004-02-16', 0, 5000, 4000, 11000); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2011, 42, '1998-11-18', '1998-12-04', '1999-02-01', 1, 5001, 4001, 11001); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2012, 43, '2017-03-01', '2017-03-24', '2017-06-13', 0, 5002, 4002, 11002); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2013, 44, '2012-05-21', '2012-05-29', '2012-10-23', 0, 5003, 4003, 11003); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2014, 45, '1975-12-12', '1976-01-07', '1976-04-08', 1, 5004, 4004, 11004); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2015, 46, '2010-04-19', '2010-05-10', '2011-02-25', 1, 5005, 4005, 11005); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2016, 47, '2011-04-17', '2011-05-03', '2011-06-12', 0, 5006, 4006, 11006); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2017, 48, '2003-07-08', '2003-07-17', '2003-08-18', 1, 5007, 4007, 11007); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2018, 49, '2005-04-18', '2005-04-25', '2005-06-09', 0, 5008, 4008, 11008); INSERT INTO `Patient` (`PatientID`, `PersonID`, `ContactDate`, `AdmittanceDate`, `DischargeDate`, `Outpatient`, `PhysicianID`, `HistoryID`, `CareCenterID`) VALUES (2019, 50, '2014-09-01', '2014-09-20', '2014-10-02', 1, 5009, 4009, 11009); # # TABLE STRUCTURE FOR: Physician # TRUNCATE Physician; INSERT INTO `Physician` (`PhysicianID`, `Specialty`, `PagerNumber`, `PersonID`) VALUES (5000, 'Internal Medicine', 1901, 51); INSERT INTO `Physician` (`PhysicianID`, `Specialty`, `PagerNumber`, `PersonID`) VALUES (5001, 'Pediatrics', 10401, 52); INSERT INTO `Physician` (`PhysicianID`, `Specialty`, `PagerNumber`, `PersonID`) VALUES (5002, 'Family Medicine', 8, 53); INSERT INTO `Physician` (`PhysicianID`, `Specialty`, `PagerNumber`, `PersonID`) VALUES (5003, 'Cardiology', 2, 54); INSERT INTO `Physician` (`PhysicianID`, `Specialty`, `PagerNumber`, `PersonID`) VALUES (5004, 'Neurology', 317, 55); INSERT INTO `Physician` (`PhysicianID`, `Specialty`, `PagerNumber`, `PersonID`) VALUES (5005, 'Dermatology', 1, 56); INSERT INTO `Physician` (`PhysicianID`, `Specialty`, `PagerNumber`, `PersonID`) VALUES (5006, 'Radiology', 8, 57); INSERT INTO `Physician` (`PhysicianID`, `Specialty`, `PagerNumber`, `PersonID`) VALUES (5007, 'Urology', 81337, 58); INSERT INTO `Physician` (`PhysicianID`, `Specialty`, `PagerNumber`, `PersonID`) VALUES (5008, 'Ocology', 3988725, 59); INSERT INTO `Physician` (`PhysicianID`, `Specialty`, `PagerNumber`, `PersonID`) VALUES (5009, 'General Surgery', 7911627, 60); # # TABLE STRUCTURE FOR: PhysicianPatients # TRUNCATE PhysicianPatients; INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2000, 5000); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2001, 5001); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2002, 5002); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2003, 5003); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2004, 5004); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2005, 5005); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2006, 5006); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2007, 5007); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2008, 5008); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2009, 5009); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2010, 5000); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2011, 5001); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2012, 5002); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2013, 5003); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2014, 5004); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2015, 5005); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2016, 5006); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2017, 5007); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2018, 5008); INSERT INTO `PhysicianPatients` (`PatientID`, `PhysicianID`) VALUES (2019, 5009); # # TABLE STRUCTURE FOR: StayHistory # TRUNCATE StayHistory; INSERT INTO `StayHistory` (`HistoryID`, `DateIn`, `DateOut`, `PatientID`, `PhysicianID`) VALUES (4000, '1990-10-25', '2002-05-02', 2000, 5000); INSERT INTO `StayHistory` (`HistoryID`, `DateIn`, `DateOut`, `PatientID`, `PhysicianID`) VALUES (4001, '2008-09-16', '2013-05-26', 2001, 5001); INSERT INTO `StayHistory` (`HistoryID`, `DateIn`, `DateOut`, `PatientID`, `PhysicianID`) VALUES (4002, '2002-04-19', '2012-11-24', 2002, 5002); INSERT INTO `StayHistory` (`HistoryID`, `DateIn`, `DateOut`, `PatientID`, `PhysicianID`) VALUES (4003, '1999-06-14', '1984-02-26', 2003, 5003); INSERT INTO `StayHistory` (`HistoryID`, `DateIn`, `DateOut`, `PatientID`, `PhysicianID`) VALUES (4004, '1977-06-28', '1998-05-17', 2004, 5004); INSERT INTO `StayHistory` (`HistoryID`, `DateIn`, `DateOut`, `PatientID`, `PhysicianID`) VALUES (4005, '1995-07-22', '1988-11-19', 2005, 5005); INSERT INTO `StayHistory` (`HistoryID`, `DateIn`, `DateOut`, `PatientID`, `PhysicianID`) VALUES (4006, '1970-09-17', '2009-10-08', 2006, 5006); INSERT INTO `StayHistory` (`HistoryID`, `DateIn`, `DateOut`, `PatientID`, `PhysicianID`) VALUES (4007, '2013-06-04', '1975-03-27', 2007, 5007); INSERT INTO `StayHistory` (`HistoryID`, `DateIn`, `DateOut`, `PatientID`, `PhysicianID`) VALUES (4008, '2013-03-22', '2001-01-19', 2008, 5008); INSERT INTO `StayHistory` (`HistoryID`, `DateIn`, `DateOut`, `PatientID`, `PhysicianID`) VALUES (4009, '2014-12-23', '2004-04-03', 2009, 5009); # # TABLE STRUCTURE FOR: Technician # TRUNCATE Technician; INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9000, 6030, 'Mathematics'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9001, 6031, 'Biology'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9002, 6032, 'Chemistry'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9003, 6033, 'Physics'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9004, 6034, 'Mathematics'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9005, 6035, 'Mathematics'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9006, 6036, 'Physics'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9007, 6037, 'Chemistry'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9008, 6038, 'Biology'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9009, 6039, 'Chemistry'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9010, 6040, 'Mathematics'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9011, 6041, 'Biology'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9012, 6042, 'Chemistry'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9013, 6043, 'Physics'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9014, 6044, 'Mathematics'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9015, 6045, 'Mathematics'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9016, 6046, 'Physics'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9017, 6047, 'Chemistry'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9018, 6048, 'Biology'); INSERT INTO `Technician` (`TechnicianID`, `EmployeeID`, `Skill`) VALUES (9019, 6049, 'Chemistry'); # # TABLE STRUCTURE FOR: Treatment # TRUNCATE Treatment; INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15001, '2003-10-25', '23:47:59', 5000, 2000); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15002, '2011-12-10', '04:57:19', 5003, 2001); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15003, '1994-03-16', '23:20:22', 5002, 2002); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15004, '2008-04-30', '03:23:54', 5003, 2003); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15005, '2010-11-06', '05:27:44', 5004, 2004); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15006, '2009-02-14', '02:10:31', 5005, 2005); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15007, '2014-10-05', '19:35:47', 5004, 2006); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15008, '2011-02-20', '11:49:22', 5007, 2007); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15009, '2012-07-27', '21:38:27', 5007, 2008); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15010, '2015-09-23', '20:49:45', 5009, 2009); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15011, '2013-05-14', '11:38:20', 5007, 2010); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15012, '2008-07-25', '16:20:30', 5009, 2011); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15013, '2009-07-07', '09:52:02', 5007, 2012); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15014, '2012-02-24', '19:02:22', 5009, 2013); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15015, '2010-09-15', '21:45:59', 5007, 2014); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15016, '2017-09-22', '10:00:00', 5009, 2015); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15017, '2013-11-11', '12:10:15', 5007, 2016); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15018, '2000-01-01', '23:35:19', 5009, 2017); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15019, '2013-03-17', '05:30:50', 5007, 2018); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15020, '2015-02-22', '08:40:30', 5007, 2019); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15021, '2017-10-04', '09:22:31', 5003, 2015); INSERT INTO `Treatment` (`TreatmentID`, `TreatmentDate`, `TreatmentTime`, `PhysicianID`, `PatientID`) VALUES (15022, '2008-07-29', '08:20:09', 5005, 2011); # # TABLE STRUCTURE FOR: TreatmentItem # TRUNCATE TreatmentItem; INSERT INTO `TreatmentItem` (`TreatmentID`, `ItemID`, `quantity`) VALUES (15000, 13000, 20 ); INSERT INTO `TreatmentItem` (`TreatmentID`, `ItemID`, `quantity`) VALUES (15001, 13001, 13); INSERT INTO `TreatmentItem` (`TreatmentID`, `ItemID`, `quantity`) VALUES (15002, 13002, 92); INSERT INTO `TreatmentItem` (`TreatmentID`, `ItemID`, `quantity`) VALUES (15003, 13003, 3); INSERT INTO `TreatmentItem` (`TreatmentID`, `ItemID`, `quantity`) VALUES (15004, 13004, 47); INSERT INTO `TreatmentItem` (`TreatmentID`, `ItemID`, `quantity`) VALUES (15005, 13005, 29); INSERT INTO `TreatmentItem` (`TreatmentID`, `ItemID`, `quantity`) VALUES (15006, 13006, 24); INSERT INTO `TreatmentItem` (`TreatmentID`, `ItemID`, `quantity`) VALUES (15007, 13007, 52); INSERT INTO `TreatmentItem` (`TreatmentID`, `ItemID`, `quantity`) VALUES (15008, 13008, 17); INSERT INTO `TreatmentItem` (`TreatmentID`, `ItemID`, `quantity`) VALUES (15009, 13009, 61); # # TABLE STRUCTURE FOR: TreatmentMedication # TRUNCATE TreatmentMedication; INSERT INTO `TreatmentMedication` (`TreatmentID`, `MedID`, `quantity`) VALUES (15000, 14000, 23); INSERT INTO `TreatmentMedication` (`TreatmentID`, `MedID`, `quantity`) VALUES (15001, 14001, 11); INSERT INTO `TreatmentMedication` (`TreatmentID`, `MedID`, `quantity`) VALUES (15002, 14002, 46); INSERT INTO `TreatmentMedication` (`TreatmentID`, `MedID`, `quantity`) VALUES (15003, 14003, 73); INSERT INTO `TreatmentMedication` (`TreatmentID`, `MedID`, `quantity`) VALUES (15004, 14004, 21); INSERT INTO `TreatmentMedication` (`TreatmentID`, `MedID`, `quantity`) VALUES (15005, 14005, 87); INSERT INTO `TreatmentMedication` (`TreatmentID`, `MedID`, `quantity`) VALUES (15006, 14006, 53); INSERT INTO `TreatmentMedication` (`TreatmentID`, `MedID`, `quantity`) VALUES (15007, 14007, 27); INSERT INTO `TreatmentMedication` (`TreatmentID`, `MedID`, `quantity`) VALUES (15008, 14008, 7); INSERT INTO `TreatmentMedication` (`TreatmentID`, `MedID`, `quantity`) VALUES (15009, 14009, 34); # # TABLE STRUCTURE FOR: Visit # TRUNCATE Visit; INSERT INTO `Visit` (`VisitID`, `Date`, `Comments`, `PatientID`, `PhysicianID`) VALUES (3000, '1983-08-21', 'ea', 2000, 5000); INSERT INTO `Visit` (`VisitID`, `Date`, `Comments`, `PatientID`, `PhysicianID`) VALUES (3001, '1998-11-25', 'delectus', 2001, 5001); INSERT INTO `Visit` (`VisitID`, `Date`, `Comments`, `PatientID`, `PhysicianID`) VALUES (3002, '2012-02-19', 'alias', 2002, 5002); INSERT INTO `Visit` (`VisitID`, `Date`, `Comments`, `PatientID`, `PhysicianID`) VALUES (3003, '2000-04-03', 'et', 2003, 5003); INSERT INTO `Visit` (`VisitID`, `Date`, `Comments`, `PatientID`, `PhysicianID`) VALUES (3004, '1999-11-08', 'consequatur', 2004, 5004); INSERT INTO `Visit` (`VisitID`, `Date`, `Comments`, `PatientID`, `PhysicianID`) VALUES (3005, '1986-03-29', 'vitae', 2005, 5005); INSERT INTO `Visit` (`VisitID`, `Date`, `Comments`, `PatientID`, `PhysicianID`) VALUES (3006, '2002-07-09', 'aperiam', 2006, 5006); INSERT INTO `Visit` (`VisitID`, `Date`, `Comments`, `PatientID`, `PhysicianID`) VALUES (3007, '1972-04-09', 'exercitationem', 2007, 5007); INSERT INTO `Visit` (`VisitID`, `Date`, `Comments`, `PatientID`, `PhysicianID`) VALUES (3008, '2007-12-16', 'et', 2008, 5008); INSERT INTO `Visit` (`VisitID`, `Date`, `Comments`, `PatientID`, `PhysicianID`) VALUES (3009, '1972-07-09', 'veniam', 2009, 5009); # # TABLE STRUCTURE FOR: Volunteer # TRUNCATE Volunteer; INSERT INTO `Volunteer` (`VolunteerID`, `PersonID`, `Skill`) VALUES (1010, 1, 'Patient Advisor'); INSERT INTO `Volunteer` (`VolunteerID`, `PersonID`, `Skill`) VALUES (1011, 2, 'Lab Assistant'); INSERT INTO `Volunteer` (`VolunteerID`, `PersonID`, `Skill`) VALUES (1012, 3, 'Caretaker'); INSERT INTO `Volunteer` (`VolunteerID`, `PersonID`, `Skill`) VALUES (1013, 4, 'Janitor'); INSERT INTO `Volunteer` (`VolunteerID`, `PersonID`, `Skill`) VALUES (1014, 5, 'Lab Assistant'); INSERT INTO `Volunteer` (`VolunteerID`, `PersonID`, `Skill`) VALUES (1000, 81, 'Patient Advisor'); INSERT INTO `Volunteer` (`VolunteerID`, `PersonID`, `Skill`) VALUES (1001, 82, 'Lab Assistant'); INSERT INTO `Volunteer` (`VolunteerID`, `PersonID`, `Skill`) VALUES (1002, 83, 'Caretaker'); INSERT INTO `Volunteer` (`VolunteerID`, `PersonID`, `Skill`) VALUES (1003, 84, 'Janitor'); INSERT INTO `Volunteer` (`VolunteerID`, `PersonID`, `Skill`) VALUES (1004, 85, 'Lab Assistant'); INSERT INTO `Volunteer` (`VolunteerID`, `PersonID`, `Skill`) VALUES (1005, 86, 'Laundry Person'); INSERT INTO `Volunteer` (`VolunteerID`, `PersonID`, `Skill`) VALUES (1006, 87, 'Patient Advisor'); INSERT INTO `Volunteer` (`VolunteerID`, `PersonID`, `Skill`) VALUES (1007, 88, 'Caretaker'); INSERT INTO `Volunteer` (`VolunteerID`, `PersonID`, `Skill`) VALUES (1008, 89, 'Lab Assistant'); INSERT INTO `Volunteer` (`VolunteerID`, `PersonID`, `Skill`) VALUES (1009, 90, 'Janitor'); # # TABLE STRUCTURE FOR: treatmenthistory # TRUNCATE treatmenthistory; INSERT INTO `treatmenthistory` (`TreatmentID`, `HistoryID`) VALUES (15001, 4000); INSERT INTO `treatmenthistory` (`TreatmentID`, `HistoryID`) VALUES (15002, 4001); INSERT INTO `treatmenthistory` (`TreatmentID`, `HistoryID`) VALUES (15003, 4002); INSERT INTO `treatmenthistory` (`TreatmentID`, `HistoryID`) VALUES (15004, 4003); INSERT INTO `treatmenthistory` (`TreatmentID`, `HistoryID`) VALUES (15005, 4004); INSERT INTO `treatmenthistory` (`TreatmentID`, `HistoryID`) VALUES (15006, 4005); INSERT INTO `treatmenthistory` (`TreatmentID`, `HistoryID`) VALUES (15007, 4006); INSERT INTO `treatmenthistory` (`TreatmentID`, `HistoryID`) VALUES (15008, 4007); INSERT INTO `treatmenthistory` (`TreatmentID`, `HistoryID`) VALUES (15009, 4008); INSERT INTO `treatmenthistory` (`TreatmentID`, `HistoryID`) VALUES (15010, 4009);
CREATE OR REPLACE PACKAGE common.error_utils AS TYPE error_nvp_rec IS RECORD (field VARCHAR2(1000), field_value VARCHAR2(1000)); TYPE error_nvp_tbl IS TABLE OF error_nvp_rec INDEX BY PLS_INTEGER; -- set the max number of autoruns for each execution of the autorun job c_max_number_autoruns CONSTANT PLS_INTEGER := 10; -- TYPE error_nvp_tbl IS TABLE OF VARCHAR2(1000) INDEX BY VARCHAR2(1000); FUNCTION get_success_message (p_idsblocation_in VARCHAR2) RETURN common_error_codes.error_message%TYPE; --------------------------------------------------------------------------- -- Original log_error procs and functions --SD Overloaded version bugz 2726 PROCEDURE log_error (p_idsblocation_in IN VARCHAR2, p_package_name_in IN VARCHAR2, p_procfunc_name_in IN VARCHAR2, p_when_error_in IN VARCHAR2, p_oracle_sqlerrm_in IN VARCHAR2, p_field_in IN VARCHAR2, p_value_in IN VARCHAR2, p_error_code_out OUT NUMBER, p_error_message_out OUT VARCHAR2); FUNCTION log_error (p_package_name_in IN VARCHAR2, p_procfunc_name_in IN VARCHAR2, p_when_error_in IN VARCHAR2, p_oracle_sqlerrm_in IN VARCHAR2, p_error_message_in_out IN OUT VARCHAR2, p_field_in IN VARCHAR2, p_value_in IN VARCHAR2 ) RETURN NUMBER; --------------------------------------------------------------------------- --------------------------------------------------------------------------- -- New log_error function and procedure that can accept a collection of name value pairs -- so you can specify multiple field values FUNCTION log_error_alert ( p_package_name_in IN VARCHAR2, p_procfunc_name_in IN VARCHAR2, p_when_error_in IN VARCHAR2, p_oracle_sqlerrm_in IN VARCHAR2, p_error_message_in_out IN OUT VARCHAR2, p_error_nvp_tbl IN error_nvp_tbl, p_error_level IN NUMBER DEFAULT NULL, p_autorun_command IN VARCHAR2 DEFAULT NULL) RETURN NUMBER; PROCEDURE log_error_alert ( p_package_name_in IN VARCHAR2, p_procfunc_name_in IN VARCHAR2, p_when_error_in IN VARCHAR2, p_oracle_sqlerrm_in IN VARCHAR2, p_error_message_in IN VARCHAR2, p_error_nvp_tbl IN error_nvp_tbl, p_error_level IN NUMBER DEFAULT NULL, p_autorun_command IN VARCHAR2 DEFAULT NULL); --------------------------------------------------------------------------- -- function is used to initialise name value pairs collection for use with function and procedure above FUNCTION init_error_nvp ( p_name1 IN VARCHAR2 DEFAULT NULL, p_value1 IN VARCHAR2 DEFAULT NULL, p_name2 IN VARCHAR2 DEFAULT NULL, p_value2 IN VARCHAR2 DEFAULT NULL, p_name3 IN VARCHAR2 DEFAULT NULL, p_value3 IN VARCHAR2 DEFAULT NULL, p_name4 IN VARCHAR2 DEFAULT NULL, p_value4 IN VARCHAR2 DEFAULT NULL, p_name5 IN VARCHAR2 DEFAULT NULL, p_value5 IN VARCHAR2 DEFAULT NULL, p_name6 IN VARCHAR2 DEFAULT NULL, p_value6 IN VARCHAR2 DEFAULT NULL, p_name7 IN VARCHAR2 DEFAULT NULL, p_value7 IN VARCHAR2 DEFAULT NULL, p_name8 IN VARCHAR2 DEFAULT NULL, p_value8 IN VARCHAR2 DEFAULT NULL, p_name9 IN VARCHAR2 DEFAULT NULL, p_value9 IN VARCHAR2 DEFAULT NULL, p_name10 IN VARCHAR2 DEFAULT NULL, p_value10 IN VARCHAR2 DEFAULT NULL ) RETURN error_nvp_tbl; FUNCTION format_errmsg ( p_error_message IN VARCHAR2, p_error_nvp_tbl IN error_nvp_tbl DEFAULT error_utils.init_error_nvp()) RETURN VARCHAR2; PROCEDURE log_and_raise ( p_package_name IN VARCHAR2, p_procedure_name IN VARCHAR2, p_when_error IN VARCHAR2, p_error_code IN NUMBER DEFAULT SQLCODE, p_error_message IN VARCHAR2 DEFAULT SQLERRM, p_error_nvp_tbl IN error_nvp_tbl DEFAULT error_utils.init_error_nvp(), p_error_level IN PLS_INTEGER DEFAULT 0, p_trace_level IN PLS_INTEGER DEFAULT 1 ); PROCEDURE log_no_raise ( p_package_name IN VARCHAR2, p_procedure_name IN VARCHAR2, p_when_error IN VARCHAR2, p_error_message IN VARCHAR2 DEFAULT SQLERRM, p_error_nvp_tbl IN error_nvp_tbl DEFAULT error_utils.init_error_nvp(), p_error_level IN PLS_INTEGER DEFAULT 0, p_trace_level IN PLS_INTEGER DEFAULT 1 ); PROCEDURE raise_error ( p_error_code IN NUMBER, p_error_message IN VARCHAR2, p_error_value IN VARCHAR2, p_trace_level IN PLS_INTEGER DEFAULT 1 ); PROCEDURE raise_error ( p_error_code IN NUMBER, p_error_message IN VARCHAR2, p_error_nvp_tbl IN error_nvp_tbl DEFAULT error_utils.init_error_nvp(), p_trace_level IN PLS_INTEGER DEFAULT 1 ); --------------------------------------------------------------------------- --------------------------------------------------------------------------- FUNCTION set_autorun_command ( p_id_common_errors IN common_errors.id_common_errors%TYPE, p_autorun_command IN common_errors_autorun.autorun_command%TYPE ) RETURN common_errors_autorun.autorun_command%TYPE; PROCEDURE execute_error_autorun ( p_id_common_errors_autorun IN common_errors_autorun.id_common_errors_autorun%TYPE, p_id_common_error_codes IN common_errors_autorun.id_common_error_codes%TYPE, p_autorun_command IN common_errors_autorun.autorun_command%TYPE ); PROCEDURE generate_error_autorun ( p_max_num_of_autoruns IN NUMBER DEFAULT c_max_number_autoruns); /**************************************************************************** NAME: send_email_alert PURPOSE: Called by batch job eg every 1 minute . Checks the email_alerts table to see if any emails need to be sent REVISIONS: Ver Patch Date Author Description ------ ------ ---------- ------------- ------------------------------------ 1.0 15/02/2013 <NAME> First Draft **************************************************************************/ PROCEDURE send_email_alert; /************************************************************************** NAME: acknowledge_email_alert PURPOSE: Once email has been received use this procedure to acknowledge it so that multiple emails are not sent. If error is not fixed though another email will get sent eventually REVISIONS: Ver Patch Date Author Description ------ ------ ---------- ------------- ------------------------------------ 1.0 15/02/2013 <NAME> First Draft **************************************************************************/ PROCEDURE acknowledge_email_alert ( p_id_common_error_codes IN common_error_alert.id_common_error_codes%TYPE ); /************************************************************************** NAME: acknowledge_email_alert PURPOSE: Once email has been received use this procedure to acknowledge ALL the errors from that email in case you have fixed all errors and don't want to run the procedure for invididual errors Note though that you must pass in the last email alert id from the very latest email alert in order for this procedure to work * Other errors may have occured since the last email was sent so they will not be acknowledged and you will have to acknowledge them using their id_common_error_code OR wait for the next email to be sent or use the acknowledge all emails procedure REVISIONS: Ver Patch Date Author Description ------ ------ ---------- ------------- ------------------------------------ 1.0 15/02/2013 <NAME> First Draft ****************************************************************************/ PROCEDURE acknowledge_last_email_alert; /************************************************************************** NAME: acknowledge_all_email_alert PURPOSE: Use this procedure to acknowledge ALL email alerts regardless of status. Should be used in the rare case when you just want to reset the alert table if eg you have too many errors to acknowledge individually REVISIONS: Ver Patch Date Author Description ------ ------ ---------- ------------- ------------------------------------ 1.0 15/02/2013 <NAME> First Draft **************************************************************************/ PROCEDURE acknowledge_all_email_alert; /************************************************************************** NAME: configure_error_alert PURPOSE: Use this procedure to configue an error alert ready for sending emails REVISIONS: Ver Patch Date Author Description ------ ------ ---------- ------------- ------------------------------------ 1.0 15/02/2013 <NAME> First Draft ****************************************************************************/ PROCEDURE configure_error_alert ( p_id_common_error_codes IN common_error_alert.id_common_error_codes%TYPE, p_error_level IN common_error_codes.error_level%TYPE DEFAULT NULL, p_send_alert_email IN common_error_codes.send_alert_email%TYPE DEFAULT NULL); END error_utils; /
<reponame>donodanar35/antibullying //FP UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=172; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=221; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=345; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=403; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=626; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=822; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=900; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=1195; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=1176; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=1167; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=1145; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=1131; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=1127; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=1395; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=1388; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=1303; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=1206; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=1204; UPDATE dataset_komentar SET SENTIMEN = 'cyberbullying' WHERE ID_DATASETKOMENTAR=1200; //FN UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=23; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=39; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=57; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=63; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=64; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=65; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=72; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=90; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=93; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=98; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=107; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=113; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=128; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=141; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=166; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=253; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=257; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=259; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=289; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=327; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=328; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=358; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=420; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=435; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=443; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=463; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=464; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=490; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=518; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=541; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=554; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=559; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=563; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=566; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=588; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=604; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=679; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=687; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=799; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=800; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=804; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=824; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=829; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=830; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=838; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=839; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=840; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=848; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=855; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=861; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=878; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=880; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=892; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=909; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=914; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=922; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=926; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=949; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=950; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=956; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1007; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1019; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1075; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1090; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1091; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1097; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1105; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1146; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1165; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1526; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1527; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1540; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1541; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1568; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1578; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1684; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1747; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1801; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1816; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1858; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1859; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1868; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1893; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1906; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1915; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=1916; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2012; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2031; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2044; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2066; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2072; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2079; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2146; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2177; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2206; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2229; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2287; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2290; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2319; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2320; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2324; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2336; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2338; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2397; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2418; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2427; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2440; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2443; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2444; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2449; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2452; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2456; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2463; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2496; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2503; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2509; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2512; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2562; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2563; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2573; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2598; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2600; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2606; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2612; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2620; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2644; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2665; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2696; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2709; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2723; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2742; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2748; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2749; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2775; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2779; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2788; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2795; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2796; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2801; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2812; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2818; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2820; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2867; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2874; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2874; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2877; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2889; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2935; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2966; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=2984; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3064; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3075; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3081; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3093; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3101; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3141; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3163; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3178; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3185; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3186; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3191; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3205; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3213; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3227; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3251; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3292; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3296; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3363; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3371; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3372; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3374; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3380; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3381; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3393; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3426; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3439; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3480; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3500; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3505; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3508; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3568; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3577; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3635; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3650; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3664; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3668; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3721; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3813; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3835; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3836; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3839; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3840; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3848; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3849; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3869; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3871; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3876; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3889; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=3891; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=4003; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=4028; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=4031; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=4051; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=4105; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=4554; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=4563; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=4590; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=4676; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=4732; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=4775; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=4829; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=4835; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=4924; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5064; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5072; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5134; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5139; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5160; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5216; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5217; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5219; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5253; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5255; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5261; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5339; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5342; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5352; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5367; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5387; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5514; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5518; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5619; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5628; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5784; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5796; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5859; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5886; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=5957; UPDATE dataset_komentar SET SENTIMEN = 'non-cyberbullying' WHERE ID_DATASETKOMENTAR=6000;
<reponame>rokudo5262/phone<filename>phoneserver/Scriptdb/Staffs.sql USE [phone] GO /**** Object: Table [dbo].[Staffs] Script Date: 5/15/2020 4:00:31 PM ****/ SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO CREATE TABLE [dbo].[Staffs]( [staff_id] [int] IDENTITY(1,1) NOT NULL, [manager_id] [int] NULL, [store_id] [int] NULL, [email] [nvarchar](255) NULL, [password] [nvarchar](255) NULL, [firstname] [nvarchar](255) NULL, [middlename] [nvarchar](255) NULL, [lastname] [nvarchar](255) NULL, [gender] [nvarchar](255) NULL, [phone] [nvarchar](255) NULL, [address] [nvarchar](255) NULL, [street] [nvarchar](255) NULL, [ward] [nvarchar](255) NULL, [district] [nvarchar](255) NULL, [city] [nvarchar](255) NULL, [country] [nvarchar](255) NULL, [zip_code] [nvarchar](255) NULL, [dateOfBirth] [datetime] NULL, [identityCard] [nvarchar](255) NULL, [identityCardPlace] [nvarchar](255) NULL, [identityCardDate] [datetime] NULL, [identityCardAddress] [nvarchar](255) NULL, [deleted] [bit] NOT NULL, [status] [nvarchar](255) NULL, [remark] [nvarchar](255) NULL, [createdBy] [nvarchar] (255) null, [createdDateTime] [datetime] null, [lastUpdatedBy] [nvarchar] (255) null, [lastUpdatedDateTime] [datetime] null, PRIMARY KEY CLUSTERED ( [staff_id] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] ) ON [PRIMARY] GO INSERT INTO [Staffs]( firstname,middlename,lastname,gender,email,password,status,deleted) VALUES (N'Trịnh' ,N'Văn' ,N'Một' ,'male' ,'<EMAIL>' ,'123456789','Active','0'), (N'Lê' ,N'Văn' ,N'Hai' ,'female','<EMAIL>','123456789','Active','0'), (N'Nguyễn',N'Thị' ,N'Ba' ,'female','<EMAIL>' ,'123456789','Active','0'), (N'Lê' ,N'Thị' ,N'Bốn' ,'female','<EMAIL>' ,'123456789','Active','0'), (N'Nguyễn',N'Văn' ,N'Năm' ,'male' ,'<EMAIL>' ,'123456789','Active','0'), (N'Trần' ,N'Văn' ,N'Sáu' ,'male' ,'<EMAIL>' ,'123456789','Active','0'), (N'Lê' ,N'Thị' ,N'Bảy' ,'female','<EMAIL>' ,'123456789','Active','0'), (N'Nguyễn',N'Thị' ,N'Tám' ,'female','<EMAIL>' ,'123456789','Active','0'), (N'Trần' ,N'Thị' ,N'Chín','female','<EMAIL>','123456789','Active','0'); ALTER TABLE [dbo].[Customers] ADD CONSTRAINT [DF_Customers_deleted] DEFAULT ((0)) FOR [deleted] GO ALTER TABLE [dbo].[Staffs] WITH CHECK ADD CONSTRAINT [FK_Staffs_Staffs] FOREIGN KEY([manager_id]) REFERENCES [dbo].[Staffs] ([staff_id]) GO ALTER TABLE [dbo].[Staffs] CHECK CONSTRAINT [FK_Staffs_Staffs] GO ALTER TABLE [dbo].[Staffs] WITH CHECK ADD CONSTRAINT [FK_Staffs_Stores] FOREIGN KEY([store_id]) REFERENCES [dbo].[Stores] ([store_id]) GO ALTER TABLE [dbo].[Staffs] CHECK CONSTRAINT [FK_Staffs_Stores] GO
<gh_stars>0 // https://leetcode.com/problems/nth-highest-salary CREATE FUNCTION getNthHighestSalary(N INT) RETURNS INT BEGIN set N = (N - 1); RETURN ( # Write your MySQL query statement below. select distinct salary from employee order by salary desc limit N, 1 ); END
-- Table: public.reservation -- DROP TABLE public.reservation; CREATE TABLE public.reservation ( bcode character varying COLLATE pg_catalog."default" NOT NULL, username character varying COLLATE pg_catalog."default" NOT NULL, name character varying COLLATE pg_catalog."default" NOT NULL, age integer NOT NULL, gender character varying COLLATE pg_catalog."default" NOT NULL, seatno character varying COLLATE pg_catalog."default" NOT NULL, origin character varying COLLATE pg_catalog."default" NOT NULL, dest character varying COLLATE pg_catalog."default" NOT NULL, flightno character varying COLLATE pg_catalog."default" NOT NULL, date character varying COLLATE pg_catalog."default" NOT NULL, dep character varying COLLATE pg_catalog."default" NOT NULL, arr character varying COLLATE pg_catalog."default" NOT NULL, aircraft character varying COLLATE pg_catalog."default" NOT NULL, ebclass character varying COLLATE pg_catalog."default" NOT NULL, index integer NOT NULL, fare bigint NOT NULL, CONSTRAINT reservation_pkey PRIMARY KEY (bcode,name), CONSTRAINT reservation_fkey1 FOREIGN KEY (username) REFERENCES public.userdetails (username) MATCH SIMPLE ON UPDATE NO ACTION ON DELETE NO ACTION, CONSTRAINT reservation_fkey2 FOREIGN KEY (index) REFERENCES public.flightdetails (index) MATCH SIMPLE ON UPDATE NO ACTION ON DELETE NO ACTION, CONSTRAINT reservation_fkey3 FOREIGN KEY (aircraft) REFERENCES public.fare (aircraft) MATCH SIMPLE ON UPDATE NO ACTION ON DELETE NO ACTION ) TABLESPACE pg_default; ALTER TABLE public.reservation OWNER to postgres;
SELECT activity_logs.id AS searchable_id, 'ActivityLog' AS searchable_type, participations.challenge_id, activity_logs.created_at as created_at FROM activity_logs INNER JOIN participations ON participations.id = participation_id UNION SELECT activity_log_comments.id AS searchable_id, 'ActivityLog::Comment' AS searchable_type, participations.challenge_id, activity_log_comments.created_at as created_at FROM activity_log_comments INNER JOIN activity_logs ON activity_logs.id = activity_log_comments.activity_log_id INNER JOIN participations ON participations.id = participation_id UNION SELECT participations.id AS searchable_id, 'Participation' AS searchable_type, participations.challenge_id as challenge_id, participations.created_at as created_at FROM participations
<reponame>FH-Inway/Dynamics-365-FastTrack-Implementation-Assets -- Step 1 : create a database if not exist --create database AnalyticsLab_Materialized -- step 2 : Use the database and create following artifacts use AnalyticsLab_Materialized -- create master key that will protect the credentials: --CREATE MASTER KEY ENCRYPTION BY PASSWORD = '<PASSWORD>' -- create a external datasouce for your parquet container folder - datasource name will be used in the pipeline parameter CREATE DATABASE SCOPED CREDENTIAL managedIdentity WITH IDENTITY='Managed Identity' CREATE EXTERNAL DATA SOURCE [enterprise-data-model] WITH (LOCATION = N'https://d365folabanalytics.dfs.core.windows.net/enterprise-data-model', CREDENTIAL = [managedIdentity]) GO --create a new schema for parquet files Create Schema [sales] GO CREATE OR ALTER PROC [dbo].[CREATEVIEWPARQUET] ( @TargetViewName nvarchar(100), @DataSource nvarchar(100), @Location nvarchar(1000) ) AS BEGIN --declare @TargetViewName nvarchar(100) = '[EDM].[CustTrans]'; --declare @Location nvarchar(1000)= '/Tables/CustTrans/.parquet' declare @CreateEDMView nvarchar(4000); set @CreateEDMView = 'Create OR ALTER View ' + @TargetViewName + ' AS ' + 'SELECT FROM OPENROWSET( BULK ''' + @Location +''',FORMAT=''PARQUET'', DATA_SOURCE='''+ @DataSource+''') AS [result]'; Execute sp_executesql @CreateEDMView END GO
<filename>sql/dynpower.sql CREATE TABLE `domains` ( `id` INT(11) NOT NULL AUTO_INCREMENT, `domainname` VARCHAR(255) NOT NULL DEFAULT '' COLLATE 'utf8_general_ci', `access_key` VARCHAR(256) NOT NULL DEFAULT '' COLLATE 'utf8_general_ci', `dt_created` DATETIME NOT NULL, `dt_updated` DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (`id`) USING BTREE, UNIQUE INDEX `domainname` (`domainname`) USING BTREE ) COLLATE='utf8_general_ci' ENGINE=InnoDB ; CREATE TABLE `dynrecords` ( `id` INT(11) NOT NULL AUTO_INCREMENT, `domain_id` INT(11) NOT NULL DEFAULT '0', `hostname` VARCHAR(255) NOT NULL DEFAULT '' COLLATE 'utf8_general_ci', `dt_created` DATETIME NOT NULL, `dt_updated` DATETIME NOT NULL, `host_updated` DATETIME NOT NULL, PRIMARY KEY (`id`) USING BTREE, UNIQUE INDEX `hostname` (`hostname`, `domain_id`) USING BTREE, INDEX `domain_id` (`domain_id`) USING BTREE ) COLLATE='utf8_general_ci' ENGINE=InnoDB ;
<reponame>Shuttl-Tech/antlr_psql -- file:alter_generic.sql ln:536 expect:true CREATE TEXT SEARCH TEMPLATE alt_ts_temp1 (lexize=dsimple_lexize)
<gh_stars>10-100 /**************************** List of diabetic patients based on the ICD-9 codes Count in MIMIC-III = 10494 ****************************/ -- SELECT COUNT(DISTINCT(ADMISSIONS.SUBJECT_ID)) SELECT DISTINCT(ADMISSIONS.SUBJECT_ID) FROM MIMIC2V30.ICD9 ICD9t1, MIMIC2V30.ADMISSIONS WHERE ICD9t1.SUBJECT_ID = ADMISSIONS.SUBJECT_ID AND (ICD9t1.code LIKE '249%' -- Secondary diabetes mellitus OR ICD9t1.code LIKE '250%' -- Diabetes mellitus ) -- Ensure that the patient was not admitted when he was younger than 18. AND NOT EXISTS ( SELECT FROM MIMIC2V30.ADMISSIONS adm18, MIMIC2V30.D_PATIENTS WHERE adm18.SUBJECT_ID = ICD9t1.SUBJECT_ID AND D_PATIENTS.SUBJECT_ID = adm18.SUBJECT_ID AND CAST(adm18.ADMIT_DT AS DATE) - D_PATIENTS.DOB < 18 * 365 ) ORDER BY ADMISSIONS.SUBJECT_ID ASC;
<gh_stars>0 DROP DATABASE IF EXISTS tech_splash_db; CREATE DATABASE tech_splash_db;
<gh_stars>10-100 -- based on https://github.com/pgexperts/pgx_scripts/blob/master/indexes/needed_indexes.sql -- Checks for tables which are getting too much sequential scan activity and might need additional indexing. Reports in four groups based on table size, number of scans, write activity, and number of existing indexes. select * from needed_indexes;
<filename>apex/f130/application/pages/page_00028.sql prompt --application/pages/page_00028 begin -- Manifest -- PAGE: 00028 -- Manifest End wwv_flow_api.component_begin ( p_version_yyyy_mm_dd=>'2021.10.15' ,p_release=>'21.2.2' ,p_default_workspace_id=>9690978936188613 ,p_default_application_id=>130 ,p_default_id_offset=>3010675395498185750 ,p_default_owner=>'ILA' ); wwv_flow_api.create_page( p_id=>28 ,p_user_interface_id=>wwv_flow_api.id(5594253093425280902) ,p_name=>'Add Applications' ,p_alias=>'ADD-APPLICATIONS' ,p_step_title=>'Add Applications' ,p_reload_on_submit=>'A' ,p_warn_on_unsaved_changes=>'N' ,p_first_item=>'AUTO_FIRST_ITEM' ,p_autocomplete_on_off=>'ON' ,p_page_template_options=>'#DEFAULT#' ,p_required_role=>wwv_flow_api.id(7645782889922775014) ,p_protection_level=>'C' ,p_help_text=>'<p>To track standards for application(s) check the application and click the <b>Add Applications</b> button.</p>' ,p_last_updated_by=>'HAYHUDSO' ,p_last_upd_yyyymmddhh24miss=>'20220315193158' ); wwv_flow_api.create_page_plug( p_id=>wwv_flow_api.id(4426417289252674727) ,p_plug_name=>'Add Applications' ,p_region_template_options=>'#DEFAULT#:js-showMaximizeButton' ,p_plug_template=>wwv_flow_api.id(4439219427293548192) ,p_plug_display_sequence=>10 ,p_query_type=>'SQL' ,p_plug_source=>wwv_flow_string.join(wwv_flow_t_varchar2( 'select apex_item.checkbox(1,app.application_id) cb,', ' app.application_id,', ' app.application_name,', ' app.last_updated_on,', ' app.last_updated_by', 'from apex_applications app,', ' apex_workspaces wrk', 'where app.application_id not in (select apex_app_id from eba_stds_applications)', ' and app.workspace = wrk.workspace', ' and wrk.workspace_id = :WORKSPACE_ID', '')) ,p_plug_source_type=>'NATIVE_IR' ,p_plug_query_options=>'DERIVED_REPORT_COLUMNS' ); wwv_flow_api.create_worksheet( p_id=>wwv_flow_api.id(4426417488301674728) ,p_name=>'Add Applications' ,p_max_row_count=>'1000000' ,p_max_row_count_message=>'The maximum row count for this report is #MAX_ROW_COUNT# rows. Please apply a filter to reduce the number of records in your query.' ,p_no_data_found_message=>'No data found.' ,p_allow_save_rpt_public=>'Y' ,p_allow_report_categories=>'N' ,p_show_nulls_as=>'-' ,p_pagination_type=>'ROWS_X_TO_Y' ,p_pagination_display_pos=>'BOTTOM_RIGHT' ,p_report_list_mode=>'TABS' ,p_lazy_loading=>false ,p_show_detail_link=>'N' ,p_show_notify=>'Y' ,p_show_calendar=>'N' ,p_download_formats=>'CSV:HTML' ,p_enable_mail_download=>'Y' ,p_allow_exclude_null_values=>'N' ,p_allow_hide_extra_columns=>'N' ,p_icon_view_columns_per_row=>1 ,p_owner=>'MIKE' ,p_internal_uid=>773417724782695981 ); wwv_flow_api.create_worksheet_column( p_id=>wwv_flow_api.id(4426417570646674729) ,p_db_column_name=>'APPLICATION_ID' ,p_display_order=>1 ,p_column_identifier=>'A' ,p_column_label=>'App ID' ,p_column_type=>'NUMBER' ,p_heading_alignment=>'RIGHT' ,p_column_alignment=>'RIGHT' ); wwv_flow_api.create_worksheet_column( p_id=>wwv_flow_api.id(4426417692028674729) ,p_db_column_name=>'APPLICATION_NAME' ,p_display_order=>2 ,p_column_identifier=>'B' ,p_column_label=>'Application' ,p_column_type=>'STRING' ,p_heading_alignment=>'LEFT' ,p_tz_dependent=>'N' ); wwv_flow_api.create_worksheet_column( p_id=>wwv_flow_api.id(4426417873141674729) ,p_db_column_name=>'CB' ,p_display_order=>4 ,p_column_identifier=>'D' ,p_column_label=>'<input type="checkbox" onclick="checkallf01();" id="checkall" />' ,p_allow_sorting=>'N' ,p_allow_filtering=>'N' ,p_allow_highlighting=>'N' ,p_allow_ctrl_breaks=>'N' ,p_allow_aggregations=>'N' ,p_allow_computations=>'N' ,p_allow_charting=>'N' ,p_allow_group_by=>'N' ,p_allow_hide=>'N' ,p_column_type=>'STRING' ,p_display_text_as=>'WITHOUT_MODIFICATION' ,p_column_alignment=>'CENTER' ); wwv_flow_api.create_worksheet_column( p_id=>wwv_flow_api.id(4426420165087692905) ,p_db_column_name=>'LAST_UPDATED_ON' ,p_display_order=>5 ,p_column_identifier=>'E' ,p_column_label=>'Last Updated' ,p_column_type=>'DATE' ,p_heading_alignment=>'LEFT' ,p_format_mask=>'SINCE' ,p_tz_dependent=>'N' ); wwv_flow_api.create_worksheet_column( p_id=>wwv_flow_api.id(4426420276601692905) ,p_db_column_name=>'LAST_UPDATED_BY' ,p_display_order=>6 ,p_column_identifier=>'F' ,p_column_label=>'Last Updated By' ,p_column_type=>'STRING' ,p_heading_alignment=>'LEFT' ,p_tz_dependent=>'N' ); wwv_flow_api.create_worksheet_rpt( p_id=>wwv_flow_api.id(4426417980968674729) ,p_application_user=>'APXWS_DEFAULT' ,p_report_seq=>10 ,p_report_alias=>'7734183' ,p_status=>'PUBLIC' ,p_is_default=>'Y' ,p_display_rows=>100 ,p_report_columns=>'CB:APPLICATION_ID:APPLICATION_NAME:LAST_UPDATED_ON:LAST_UPDATED_BY' ,p_sort_column_1=>'APPLICATION_ID' ,p_sort_direction_1=>'ASC' ); wwv_flow_api.create_page_plug( p_id=>wwv_flow_api.id(4426418769171674731) ,p_plug_name=>'Breadcrumb' ,p_region_template_options=>'#DEFAULT#:t-BreadcrumbRegion--useBreadcrumbTitle' ,p_component_template_options=>'#DEFAULT#' ,p_plug_template=>wwv_flow_api.id(4439222394230548202) ,p_plug_display_sequence=>20 ,p_plug_display_point=>'REGION_POSITION_01' ,p_menu_id=>wwv_flow_api.id(8850087331635351449) ,p_plug_source_type=>'NATIVE_BREADCRUMB' ,p_menu_template_id=>wwv_flow_api.id(4439237769043548253) ); wwv_flow_api.create_page_plug( p_id=>wwv_flow_api.id(5192576050945669525) ,p_plug_name=>'About this page' ,p_region_template_options=>'#DEFAULT#' ,p_plug_template=>wwv_flow_api.id(4439206249279548174) ,p_plug_display_sequence=>3 ,p_plug_source=>'<p>To track standards for application(s) check the application and click the <b>Add Applications</b> button.</p>' ,p_plug_query_num_rows=>15 ,p_plug_query_options=>'DERIVED_REPORT_COLUMNS' ,p_attribute_01=>'N' ,p_attribute_02=>'HTML' ,p_attribute_03=>'Y' ); wwv_flow_api.create_page_button( p_id=>wwv_flow_api.id(4426418172520674729) ,p_button_sequence=>10 ,p_button_plug_id=>wwv_flow_api.id(4426418769171674731) ,p_button_name=>'ADD_APPLICATIONS' ,p_button_action=>'SUBMIT' ,p_button_template_options=>'#DEFAULT#' ,p_button_template_id=>wwv_flow_api.id(4439237598909548252) ,p_button_is_hot=>'Y' ,p_button_image_alt=>'Add Applications' ,p_button_position=>'NEXT' ); wwv_flow_api.create_page_button( p_id=>wwv_flow_api.id(4426418393169674730) ,p_button_sequence=>10 ,p_button_plug_id=>wwv_flow_api.id(4426417289252674727) ,p_button_name=>'RESET_REPORT' ,p_button_action=>'REDIRECT_PAGE' ,p_button_template_options=>'#DEFAULT#' ,p_button_template_id=>wwv_flow_api.id(4439236916357548246) ,p_button_image_alt=>'Reset' ,p_button_position=>'RIGHT_OF_IR_SEARCH_BAR' ,p_button_redirect_url=>'f?p=&APP_ID.:28:&SESSION.::&DEBUG.:28,RIR::' ,p_icon_css_classes=>'fa-undo-alt' ); wwv_flow_api.create_page_branch( p_id=>wwv_flow_api.id(4426419381096674734) ,p_branch_name=>'back to applications' ,p_branch_action=>'f?p=&APP_ID.:6:&SESSION.::&DEBUG.:RP::&success_msg=#SUCCESS_MSG#' ,p_branch_point=>'AFTER_PROCESSING' ,p_branch_type=>'REDIRECT_URL' ,p_branch_sequence=>10 ); wwv_flow_api.create_page_validation( p_id=>wwv_flow_api.id(5197614300432143109) ,p_validation_name=>'Must select application' ,p_validation_sequence=>10 ,p_validation=>'wwv_flow.g_f01.count >= 1' ,p_validation2=>'PLSQL' ,p_validation_type=>'EXPRESSION' ,p_error_message=>'Please check an application to add.' ,p_error_display_location=>'INLINE_IN_NOTIFICATION' ); wwv_flow_api.create_page_process( p_id=>wwv_flow_api.id(4426419069987674733) ,p_process_sequence=>10 ,p_process_point=>'AFTER_SUBMIT' ,p_process_type=>'NATIVE_PLSQL' ,p_process_name=>'add applications' ,p_process_sql_clob=>'eba_stds_parser.add_applications;' ,p_process_clob_language=>'PLSQL' ,p_error_display_location=>'INLINE_IN_NOTIFICATION' ,p_process_success_message=>'Application(s) added' ); wwv_flow_api.component_end; end; /
create table reg_perennial_con_info ( id INT AUTO_INCREMENT PRIMARY KEY, name varchar(90) not null, website_url varchar(255) not null ) ENGINE=InnoDB DEFAULT CHARSET=utf8; create table reg_con_info ( id INT AUTO_INCREMENT PRIMARY KEY, perennial_con_id INT NOT NULL, name VARCHAR(90) NOT NULL, header_img_name VARCHAR(90), active_from_time TIMESTAMP NOT NULL DEFAULT NOW(), active_to_time TIMESTAMP NOT NULL DEFAULT NOW(), reg_open_time TIMESTAMP NOT NULL DEFAULT NOW(), reg_close_time TIMESTAMP NOT NULL DEFAULT NOW(), con_start_date DATE NOT NULL, con_end_date DATE NOT NULL, FOREIGN KEY (perennial_con_id) REFERENCES reg_perennial_con_info (id) ON UPDATE RESTRICT ON DELETE CASCADE ) ENGINE=InnoDB DEFAULT CHARSET=utf8; create table reg_offering ( id INT AUTO_INCREMENT PRIMARY KEY, sort_order INT NOT NULL, title varchar(255) NOT NULL, con_id INT NOT NULL, start_time TIMESTAMP NOT NULL DEFAULT NOW(), end_time TIMESTAMP NOT NULL DEFAULT NOW(), minimum_price decimal(13,2), suggested_price decimal(13,2), maximum_price decimal(13,2), currency char(3) NOT NULL DEFAULT 'USD', emphasis char(1) NOT NULL DEFAULT 'N', is_membership char(1) NOT NULL DEFAULT 'N', add_prompts char(1) NOT NULL DEFAULT 'N', email_required varchar(16) NOT NULL DEFAULT 'NO', description varchar(2048), FOREIGN KEY (con_id) REFERENCES reg_con_info(id) ON UPDATE RESTRICT ON DELETE CASCADE ) ENGINE=InnoDB DEFAULT CHARSET=utf8; create table reg_offering_highlight ( offering_id INT NOT NULL, sort_order INT NOT NULL, highlight_text varchar(1024), PRIMARY KEY(offering_id, sort_order), FOREIGN KEY (offering_id) REFERENCES reg_offering(id) ON UPDATE RESTRICT ON DELETE CASCADE ) ENGINE=InnoDB DEFAULT CHARSET=utf8; insert into reg_perennial_con_info (name, website_url) values ('WisCon', 'https://wiscon.net'); insert into reg_con_info (name, perennial_con_id, con_start_date, con_end_date) select 'WisCon 2022', max(id), '2022-05-26', '2022-05-30' from reg_perennial_con_info; insert into reg_con_info (name, perennial_con_id, con_start_date, con_end_date, active_from_time, active_to_time, reg_open_time, reg_close_time) select 'WisCon 2023', max(id), '2023-05-25', '2023-05-29', '2022-06-01 23:39:39', '2023-05-31 23:39:39', '2022-06-01 23:39:39', '2023-05-31 23:39:39' from reg_perennial_con_info; create view reg_users as SELECT distinct P.badgeid, P.password, C.firstname, C.lastname, C.badgename, C.email FROM Participants P JOIN CongoDump C ON P.badgeid = C.badgeid and P.badgeid in (select badgeid from PermissionRoles PR LEFT JOIN UserHasPermissionRole UHPR ON UHPR.permroleid = PR.permroleid where PR.permrolename = 'Registration' or PR.permrolename = 'Bookkeeping'); insert into PermissionRoles (permrolename, notes, display_order) values ('Bookkeeping', 'Read-only access to registration system', 38); create view reg_user_roles as SELECT badgeid, PR.permrolename as role_name from PermissionRoles PR LEFT JOIN UserHasPermissionRole UHPR ON UHPR.permroleid = PR.permroleid where PR.permrolename = 'Registration' or PR.permrolename = 'Bookkeeping'; insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required) values (1, '<NAME>', 1, '2022-05-31 23:59:59', 0.00, 'Available only to previous Guests of Honor.', 'Y', 'Y', 'REQUIRED'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'Available only to previous Guests of Honor' from reg_offering; insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, emphasis, email_required) values (2, 'Adult Membership', 1, '2022-05-31 23:59:59', 65.00, 'Our standard membership for adult guests (anyone 19 or older as of 2022-05-30/Memorial Day, last day of the convention).', 'Y', 'Y', 'Y', 'REQUIRED'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'Full Weekend (Thu-Mon)' from reg_offering; insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 2, 'Ages 19+' from reg_offering; insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required) values (3, 'Teen Membership', 1, '2022-05-31 23:59:59', 20.00, 'Our weekend membership for teen guests (anyone 13 to 18 as of 2022-05-30/Memorial Day, last day of the convention).', 'Y', 'Y', 'OPTIONAL'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'Full Weekend (Thu-Mon)' from reg_offering; insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 2, 'Ages 13-18' from reg_offering; insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required) values (4, 'Youth Membership', 1, '2022-05-31 23:59:59', 20.00, 'Our weekend membership for young guests (anyone 7 to 12 as of 2022-05-30/Memorial Day, last day of the convention).', 'Y', 'Y', 'OPTIONAL'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'Full Weekend (Thu-Mon)' from reg_offering; insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 2, 'Ages 7-12' from reg_offering; insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required) values (5, 'WisCon Child Care', 1, '2022-05-31 23:59:59', 0.00, 'Child Membership (Ages 0-6) for WisCon 45 in May 2022. Includes on-site child care by licensed providers during the day, on each day of the convention (check wiscon.net for details and hours).', 'Y', 'N', 'NO'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'On-site daytime child care by licensed providers (Thu-Mon)' from reg_offering; insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 2, 'Ages 0-6' from reg_offering; insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required) values (6, 'Supporting Membership', 1, '2022-05-31 23:59:59', 25.00, 'A non-attending membership for the convention. Supporting Members will receive any announcements and mailings sent to the general membership, as well as a physical copy of our program and souvenir book (requires a mailing address).', 'Y', 'N', 'NO'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'A non-attending membership' from reg_offering; insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 2, 'Receive printed materials, by mail' from reg_offering; insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required) values (7, 'Dessert Ticket', 1, '2022-05-31 23:59:59', 35.00, 'Ticket for the Dessert Salon on Sunday evening of WisCon 45 in 2020, including two desserts from the buffet. (Proceeds from the Dessert Salon help to offset the costs of other aspects of the convention.)', 'N', 'N', 'NO'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'Sunday Evening Dessert Salon' from reg_offering; insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 2, 'Two desserts' from reg_offering; insert into reg_offering (sort_order, title, con_id, end_time, description, is_membership, add_prompts, email_required) values (8, 'Donate to Wiscon/SF3', 1, '2022-05-31 23:59:59', 'Thank you for supporting WisCon! Donations in this category will go to the general fund for SF3, WisCon''s parent organization, and will support the convention as well as other SF3 activities.', 'N', 'N', 'NO'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'Donations to the general fund for SF3, WisCon''s parent organization' from reg_offering; insert into reg_offering (sort_order, title, con_id, end_time, description, is_membership, add_prompts, email_required) values (9, 'Donate to WMAF', 1, '2022-05-31 23:59:59', 'Donations to the WisCon Member Assistance Fund, which supports anyone who needs financial assistance to attend the convention. To learn more, including about how to apply to the Member Assistance Fund yourself, visit https://wiscon.net/assistance-fund/ ', 'N', 'N', 'NO'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'The WisCon Member Assistance Fund supports anyone who needs financial assistance to attend' from reg_offering; CREATE TABLE `reg_order` ( `id` int(11) NOT NULL AUTO_INCREMENT, `order_uuid` varchar(36) NOT NULL, `status` varchar(32) NOT NULL DEFAULT 'IN_PROGRESS', `creation_date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP, `last_modified_date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP, `payment_date` timestamp NULL DEFAULT NULL, `payment_method` varchar(32) DEFAULT NULL, `con_id` int(11) NOT NULL, `finalized_date` timestamp NULL DEFAULT NULL, `confirmation_email` varchar(255) DEFAULT NULL, `payment_intent_id` varchar(1024) DEFAULT NULL, PRIMARY KEY (`id`), KEY `fk_order_con_id` (`con_id`), CONSTRAINT `fk_order_con_id` FOREIGN KEY (`con_id`) REFERENCES `reg_con_info` (`id`) ) ENGINE=InnoDB AUTO_INCREMENT=85 DEFAULT CHARSET=utf8; CREATE TABLE `reg_order_item` ( `id` int(11) NOT NULL AUTO_INCREMENT, `offering_id` int(11) NOT NULL, `order_id` int(11) NOT NULL, `for_name` varchar(255) NOT NULL, `email_address` varchar(255) DEFAULT NULL, `item_uuid` varchar(36) NOT NULL, `amount` decimal(13,2) DEFAULT NULL, `email_ok` char(1) DEFAULT NULL, `volunteer_ok` char(1) DEFAULT NULL, `snail_mail_ok` char(1) DEFAULT NULL, `street_line_1` varchar(1024) DEFAULT NULL, `street_line_2` varchar(1024) DEFAULT NULL, `city` varchar(255) DEFAULT NULL, `state_or_province` varchar(255) DEFAULT NULL, `zip_or_postal_code` varchar(255) DEFAULT NULL, `country` varchar(1024) DEFAULT NULL, `age` varchar(255) DEFAULT NULL, PRIMARY KEY (`id`), KEY `offering_id` (`offering_id`), KEY `order_id` (`order_id`), CONSTRAINT `reg_order_item_ibfk_1` FOREIGN KEY (`offering_id`) REFERENCES `reg_offering` (`id`) ON DELETE CASCADE, CONSTRAINT `reg_order_item_ibfk_2` FOREIGN KEY (`order_id`) REFERENCES `reg_order` (`id`) ON DELETE CASCADE ) ENGINE=InnoDB AUTO_INCREMENT=130 DEFAULT CHARSET=utf8; alter table reg_offering add column address_required char(1) not null default 'N'; update reg_offering set sort_order = sort_order * 10; insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required) values (25, 'Online Membership', 1, '2022-05-31 23:59:59', 40.00, 'The Online Membership provides access to the online portion of WisCon 2022 (visit https://wiscon.net/register/ for more information)', 'Y', 'Y', 'REQUIRED'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'Online Access to Streamed Events' from reg_offering; alter table reg_offering add column age_required char(1) not null default 'N'; update reg_offering set age_required = 'Y' where title = 'WisCon Child Care'; alter table reg_order_item add column age varchar(255); insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required) values (27, 'Online Teen Membership', 1, '2022-05-31 23:59:59', 20.00, 'The Online Teen Membership provides access to the online portion of WisCon 2022 (visit https://wiscon.net/register/ for more information)', 'Y', 'Y', 'OPTIONAL'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'Online Access to Streamed Events' from reg_offering; create table reg_program_link ( con_id int not null, order_item_id int not null, badgeid varchar(15) not null, FOREIGN KEY (con_id) REFERENCES reg_con_info(id) ON UPDATE RESTRICT ON DELETE CASCADE, FOREIGN KEY (order_item_id) REFERENCES reg_order_item(id) ON UPDATE RESTRICT ON DELETE CASCADE, FOREIGN KEY (`badgeid`) REFERENCES `Participants`(`badgeid`) ON UPDATE RESTRICT ON DELETE CASCADE ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; alter table reg_offering add column is_donation char(1) not null default 'N'; alter table reg_offering add column short_name varchar(255); alter table reg_offering add column quantity_pool_id int; create table reg_quantity_pool ( `id` int(11) NOT NULL AUTO_INCREMENT, `quantity` int(11) NOT NULL, `notes` varchar(255), PRIMARY KEY (`id`) ); insert into reg_quantity_pool (quantity, notes) values (200, 'Dessert tickets'); insert into reg_quantity_pool (quantity, notes) values (1000, 'In-person memberships'); insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required) values (99, 'Donate Membership to BIPOC Volunteer', 1, '2022-05-31 23:59:59', 65.00, 'In response to feedback from our membership, WisCon/SF3 is working on a variety of antiracism initiatives. One of these involves supporting BIPOC volunteers with complimentary memberships, starting with pre-con volunteers. To support this initiative, you can make a $65 donation to cover the cost of one such membership. Funds that are not disbursed will go towards our overall efforts towards antiracism and affordability.', 'N', 'N', 'NO'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'Support BIPOC volunteers with a complimentary membership' from reg_offering; alter table reg_offering add column restricted_access char(1) not null default 'N'; insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required, restricted_access) values (100, 'BIPOC Volunteer Membership', 1, '2022-05-31 23:59:59', 0.00, 'Create a membership for a BIPOC volunteer using donated funds', 'Y', 'N', 'YES', 'Y'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'This is a secret item, covered with a cloak of invisibility' from reg_offering; update reg_quantity_pool set quantity = 600 where notes = 'In-person memberships'; insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required) values (22, 'Upgrade Online to In-Person', 1, '2022-05-31 23:59:59', 25.00, 'If you already have an Online Membership, you can upgrade to an In-Person membership by purchasing this item.', 'N', 'N', 'YES'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'Upgrade an existing Online Membership' from reg_offering; insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required, restricted_access) values (100, 'BIPOC Online Volunteer Membership', 1, '2022-05-31 23:59:59', 0.00, 'Create a membership for a BIPOC volunteer using donated funds', 'Y', 'N', 'YES', 'Y'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'This is a secret item, covered with a cloak of invisibility' from reg_offering; alter table reg_offering add related_offering_id int references reg_offering(`id`); alter table reg_order_item add orig_offering_id int references reg_offering(`id`); alter table reg_order_item add `status` varchar(32); alter table reg_order add orig_order_id int references reg_order(`id`) ON DELETE SET NULL; insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required, restricted_access) values (100, 'Adult Comped Membership', 1, '2022-05-31 23:59:59', 0.00, 'Create a free adult membership using donated funds', 'Y', 'N', 'YES', 'Y'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'This is a secret item, covered with a cloak of invisibility' from reg_offering; insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required, restricted_access) values (100, 'Teen Comped Membership', 1, '2022-05-31 23:59:59', 0.00, 'Create a free teen membership using donated funds', 'Y', 'N', 'YES', 'Y'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'This is a secret item, covered with a cloak of invisibility' from reg_offering; insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required) values (24, 'Online Membership (reduced price)', 1, '2022-05-31 23:59:59', 25.00, 'The Online Membership provides access to the online portion of WisCon 2022 (visit https://wiscon.net/register/ for more information)', 'Y', 'Y', 'REQUIRED'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'Access to all online programming and events' from reg_offering; insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required) values (15, '1-Day Membership (Saturday)', 1, '2022-05-31 23:59:59', 35.00, 'This membership gives you access to all in-person and online programming and events on Saturday.', 'Y', 'Y', 'REQUIRED'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'Saturday events' from reg_offering; insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 2, 'Ages 19+' from reg_offering; insert into reg_offering (sort_order, title, con_id, end_time, suggested_price, description, is_membership, add_prompts, email_required) values (16, '1-Day Membership (Sunday)', 1, '2022-05-31 23:59:59', 30.00, 'This membership gives you access to all in-person and online programming and events on Sunday.', 'Y', 'Y', 'REQUIRED'); insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 1, 'Sunday events' from reg_offering; insert into reg_offering_highlight (offering_id, sort_order, highlight_text) select max(id), 2, 'Ages 19+' from reg_offering;
DROP TABLE EXPRESSIONS; CREATE TABLE EXPRESSIONS ( ID NUMBER GENERATED BY DEFAULT ON NULL AS IDENTITY INCREMENT BY 1 MAXVALUE 9999999999999999999999999999 MINVALUE 1 CACHE 20 NOT NULL, CAPTURED_AT VARCHAR2(1000), EXPRESSION VARCHAR2(1000), PROBABILITY VARCHAR2(1000), DEVICE VARCHAR2(1000), CONSTRAINT EXPRESSIONS_PK PRIMARY KEY ( ID ) ); SELECT COUNT(*) FROM EXPRESSIONS;
<reponame>endeavourhealth-discovery/DiscoveryQueryLibrary<gh_stars>0 USE nwl_subscriber_pid; DROP VIEW IF EXISTS patient_address_view; CREATE VIEW patient_address_view AS SELECT padr.id address_id, padr.address_line_1 address1, padr.address_line_2 address2, padr.address_line_3 address3, padr.address_line_4 address4, padr.city address5, padr.postcode postcode, parn.uprn, DATE_FORMAT(padr.start_date,"%Y%m%d") start_date, DATE_FORMAT(padr.end_date,"%Y%m%d") end_date, padr.lsoa_2001_code, padr.lsoa_2011_code, padr.msoa_2001_code, padr.msoa_2011_code, pat.nhs_number, parn.abp_address_number matched_address_1, parn.abp_address_street matched_address_2, parn.abp_address_locality matched_address_3, parn.abp_address_town matched_address_4, parn.abp_address_postcode matched_postcode, parn.classification, parn.abp_address_organization business_name, parn.match_date uprn_match_date, parn.status uprn_status, parn.latitude, parn.longitude, NULLIF(COALESCE(padr_evt.modified_date,0),0) last_modified_date FROM patient_address padr JOIN patient pat ON padr.patient_id = pat.id LEFT JOIN patient_address_match parn ON padr.id = parn.id LEFT JOIN (SELECT MAX(etlg.dt_change) modified_date, etlg.table_id, etlg.record_id FROM event_log etlg WHERE etlg.table_id = 20 GROUP BY etlg.table_id, etlg.record_id) padr_evt ON padr_evt.record_id = padr.id;
<gh_stars>0 -- MySQL dump 10.13 Distrib 5.6.34, for Linux (x86_64) -- -- Host: rr-2zeap9jp480wx4j12.mysql.rds.aliyuncs.com Database: jiudouyu_module_db -- ------------------------------------------------------ -- Server version 5.6.29 /!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT /; /!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS /; /!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION /; /!40101 SET NAMES utf8 /; /!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE /; /!40103 SET TIME_ZONE='+00:00' /; /!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 /; /!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 /; /!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' /; /!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 /; -- -- Dumping data for table `module_current_invest` -- -- WHERE: user_id in ('76007', '1400729', '132519', '343810', '1273678', '68253', '67951', '1426124', '54473', '67410', '91', 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`module_current_invest` ENABLE KEYS /; UNLOCK TABLES; /!40103 SET TIME_ZONE=@OLD_TIME_ZONE /; /!40101 SET SQL_MODE=@OLD_SQL_MODE /; /!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS /; /!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS /; /!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT /; /!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS /; /!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION /; /!40111 SET SQL_NOTES=@OLD_SQL_NOTES /; -- Dump completed on 2016-12-02 12:06:34
ALTER TABLE Tasks ADD COLUMN timeApperedInLocation LONG;
<filename>projects/OG-MasterDB/src/main/resources/db/migrate/postgres/snp/V_46__migrate_snp.sql START TRANSACTION; UPDATE snp_schema_version SET version_value='46' WHERE version_key='schema_patch'; -- Add new column and default all existing values to the structured snapshot ALTER TABLE snp_snapshot ADD COLUMN snapshot_type varchar(255) NULL; -- Default all existing values to the structured snapshot UPDATE snp_snapshot SET snapshot_type = 'com.opengamma.core.marketdatasnapshot.StructuredMarketDataSnapshot'; ALTER TABLE snp_snapshot ALTER COLUMN snapshot_type SET NOT NULL; CREATE INDEX ix_snp_snapshot_name_type ON snp_snapshot(name, snapshot_type); COMMIT;
<reponame>kuro-channel/knowledge-1<gh_stars>100-1000 SELECT * FROM CLOB_TABLE ;
ALTER TABLE `lh_generic_bot_trigger_event` DROP INDEX `pattern`; ALTER TABLE `lh_generic_bot_trigger_event` ADD `pattern_exc` varchar(250) NOT NULL, COMMENT=''; ALTER TABLE `lh_generic_bot_trigger_event` ADD `configuration` text NOT NULL, COMMENT=''; ALTER TABLE `lh_generic_bot_trigger_event` CHANGE `pattern` `pattern` varchar(250) NOT NULL; ALTER TABLE `lh_generic_bot_trigger_event` ADD INDEX `pattern_v2` (`pattern`(191));
CREATE TABLE `tb_sqoczkufxp` ( `col_rrdzqbksmd` set('enum_or_set_0','enum_or_set_1','enum_or_set_2') CHARACTER SET utf8mb4 DEFAULT 'enum_or_set_0', `col_spveduzoyj` mediumint(219) unsigned zerofill NOT NULL, `col_zghtsjnauz` datetime(3) DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8;
<filename>sql1_persediaan/persediaan_rekap_sql/persediaan_barang5_bppakb.sql DROP VIEW IF EXISTS view_persediaan_barang5_bppakb CASCADE; CREATE VIEW view_persediaan_barang5_bppakb AS SELECT nama_provinsi, id_provinsi, nama_kabupaten, id_kabupaten, nama_lokasi_bidang, id_lokasi_bidang, nama_skpd, id_skpd, nama_barang, kode_barang, satuan, id_satuan, jenis_barang, id_jenis_barang, sum(saldo) AS total_saldo_barang, sum(jumlah_harga) AS total_harga FROM view_persediaan_barang4_bppakb WHERE 1 = 1 AND id_skpd = 11 GROUP BY nama_provinsi, id_provinsi, nama_kabupaten, id_kabupaten, nama_lokasi_bidang, id_lokasi_bidang, nama_skpd, id_skpd, nama_barang, kode_barang, satuan, id_satuan, jenis_barang, id_jenis_barang ; GRANT ALL PRIVILEGES ON view_persediaan_barang5_bppakb TO lap_bppakb; REVOKE INSERT, UPDATE, DELETE ON view_persediaan_barang5_bppakb FROM lap_bppakb;
CREATE TABLE `admissionstudent_registration` ( `asreg_id` int(11) NOT NULL, `asreg_emailid` varchar(255) NOT NULL, `asreg_mobile` varchar(255) NOT NULL, `asreg_dob` date NOT NULL, `asreg_program` varchar(255) NOT NULL, `asreg_verificationcode` varchar(255) NOT NULL, `asreg_verificationdate` date NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; ALTER TABLE `admissionstudent_registration` ADD PRIMARY KEY (`asreg_id`); ALTER TABLE `admissionstudent_registration` MODIFY `asreg_id` int(11) NOT NULL AUTO_INCREMENT; CREATE TABLE `result_announcement` ( `rean_id` int(11) NOT NULL, `rean_prgid` int(11) NOT NULL, `rean_sem` int(2) NOT NULL, `rean_acadyear` varchar(255) NOT NULL, `rean_exty` varchar(255) NOT NULL, `rean_helddate` date NOT NULL, `rean_anncdate` date NOT NULL, `rean_remark` varchar(255) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; ALTER TABLE `result_announcement` ADD PRIMARY KEY (`rean_id`); ALTER TABLE `result_announcement` MODIFY `rean_id` int(11) NOT NULL AUTO_INCREMENT; CREATE TABLE `result_stopped` ( `rest_id` int(11) NOT NULL, `rest_smid` int(11) NOT NULL, `rest_prgid` int(11) NOT NULL, `rest_sem` int(2) NOT NULL, `rest_acadyear` varchar(255) NOT NULL, `rest_exty` varchar(255) NOT NULL, `rest_helddate` date NOT NULL, `rest_stopdate` date NOT NULL, `rest_remark` varchar(255) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; ALTER TABLE `result_stopped` ADD PRIMARY KEY (`rest_id`); ALTER TABLE `result_stopped` MODIFY `rest_id` int(11) NOT NULL AUTO_INCREMENT;
<reponame>eudaimonent/Money-Adapter-Public ALTER TABLE `money`.`Regions` DROP PRIMARY KEY;
-- @testpoint: alter table在对包含重复值的列进行unique约束时合理报错 drop table if exists alter_table_tb002; create table alter_table_tb002 ( c1 int, c2 bigint, c3 varchar(20) ); insert into alter_table_tb002 values('11',null,'sss'); insert into alter_table_tb002 values('21','','sss'); insert into alter_table_tb002 values('31',66,''); insert into alter_table_tb002 values('41',66,null); ALTER TABLE alter_table_tb002 ADD CONSTRAINT UN_ID UNIQUE(c3); --ERROR ALTER TABLE alter_table_tb002 ADD CONSTRAINT UN_ID UNIQUE(c1); alter table alter_table_tb002 modify c1 not null; drop table if exists alter_table_tb002;
<reponame>rosenishere/vsql<filename>tests/boolean.sql SELECT TRUE; -- COL1: TRUE SELECT FALSE; -- COL1: FALSE SELECT UNKNOWN; -- COL1: UNKNOWN
<filename>MySQLandPHPAdvanced/Exercises/cars.sql -- -------------------------------------------------------- -- Host: 127.0.0.1 -- Server version: 10.1.25-MariaDB - mariadb.org binary distribution -- Server OS: Win32 -- HeidiSQL Version: 9.4.0.5174 -- -------------------------------------------------------- /!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT /; /!40101 SET NAMES utf8 /; /!50503 SET NAMES utf8mb4 /; /!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 /; /!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' /; -- Dumping database structure for cars CREATE DATABASE IF NOT EXISTS `cars` /!40100 DEFAULT CHARACTER SET utf8 /; USE `cars`; -- Dumping structure for table cars.cars CREATE TABLE IF NOT EXISTS `cars` ( `id` int(10) unsigned NOT NULL AUTO_INCREMENT, `make` varchar(255) DEFAULT NULL, `model` varchar(255) DEFAULT NULL, `year` smallint(10) DEFAULT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB AUTO_INCREMENT=50 DEFAULT CHARSET=utf8; -- Dumping data for table cars.cars: ~17 rows (approximately) /!40000 ALTER TABLE `cars` DISABLE KEYS /; REPLACE INTO `cars` (`id`, `make`, `model`, `year`) VALUES (4, 'Audi', 'A4', 2004), (5, 'Audi', 'A4', 2004), (7, 'Audi', 'A4', 2004), (8, 'Audi', 'A4', 2004), (9, 'Audi', 'A4', 2004), (10, 'Audi', 'A4', 2004), (11, 'Audi', 'A4', 2004), (12, 'Audi', 'A4', 2004), (13, 'Audi', 'A4', 2004), (14, 'Audi', 'A4', 2004), (15, 'Audi', 'A4', 2004), (16, 'Audi', 'A4', 2004), (17, 'Audi', 'A4', 2004), (18, 'BMW', '116', 2010), (19, 'Ford', 'Focus', 2004), (20, 'Ford', 'Focus', 2004), (21, 'Ford', 'Focus', 2004), (22, 'Ford', 'Focus', 2004), (23, 'Audi', 'A4', 2004), (24, 'Audi', 'A4', 2004), (28, 'Audi', 'A4', 2004), (29, 'Audi', 'A4', 2004), (30, 'Audi', 'A4', 2004), (31, 'Audi', 'A4', 2004), (32, 'Audi', 'A4', 2004), (33, 'Audi', 'A4', 2004), (34, 'Audi', 'A4', 2004), (35, 'Audi', 'A4', 2004), (36, 'Audi', 'A4', 2004), (37, 'Audi', 'A4', 2004), (38, 'Audi', 'A4', 2004), (39, 'Audi', 'A4', 2004), (40, 'Audi', 'A4', 2004), (41, 'Audi', 'A4', 2004), (42, 'Audi', 'A4', 2004), (43, 'Audi', 'A4', 2004), (44, 'Audi', 'A4', 2004), (45, 'Audi', 'A4', 2004), (46, 'Audi', 'A4', 2004), (47, 'Audi', 'A4', 2004), (48, 'Audi', 'A4', 2004), (49, 'Audi', 'A4', 2004); /!40000 ALTER TABLE `cars` ENABLE KEYS /; -- Dumping structure for table cars.customers CREATE TABLE IF NOT EXISTS `customers` ( `customer_id` int(10) unsigned NOT NULL AUTO_INCREMENT, `first_name` varchar(255) DEFAULT NULL, `last_name` varchar(255) DEFAULT NULL, PRIMARY KEY (`customer_id`) ) ENGINE=InnoDB AUTO_INCREMENT=50 DEFAULT CHARSET=utf8; -- Dumping data for table cars.customers: ~18 rows (approximately) /!40000 ALTER TABLE `customers` DISABLE KEYS /; REPLACE INTO `customers` (`customer_id`, `first_name`, `last_name`) VALUES (4, 'Ivan', 'Ivanov'), (5, 'Ivan', 'Ivanov'), (7, 'Ivan', 'Ivanov'), (8, 'Ivan', 'Ivanov'), (9, 'Ivan', 'Ivanov'), (10, 'Ivan', 'Ivanov'), (11, 'Ivan', 'Ivanov'), (12, 'Ivan', 'Ivanov'), (13, 'Ivan', 'Ivanov'), (14, 'Ivan', 'Ivanov'), (15, 'Ivan', 'Ivanov'), (16, 'Ivan', 'Ivanov'), (17, 'Ivan', 'Ivanov'), (18, 'Ilia', 'Petrov'), (19, 'Stoyan', 'Lazarov'), (20, 'Stoyan', 'Lazarov'), (21, 'Stoyan', 'Lazarov'), (22, 'Stoyan', 'Lazarov'), (23, 'Ivan', 'Ivanov'), (24, 'Ivan', 'Ivanov'), (28, 'Ivan', 'Ivanov'), (29, 'Ivan', 'Ivanov'), (30, 'Ivan', 'Ivanov'), (31, 'Ivan', 'Ivanov'), (32, 'Ivan', 'Ivanov'), (33, 'Ivan', 'Ivanov'), (34, 'Ivan', 'Ivanov'), (35, 'Ivan', 'Ivanov'), (36, 'Ivan', 'Ivanov'), (37, 'Ivan', 'Ivanov'), (38, 'Ivan', 'Ivanov'), (39, 'Ivan', 'Ivanov'), (40, 'Ivan', 'Ivanov'), (41, 'Ivan', 'Ivanov'), (42, 'Ivan', 'Ivanov'), (43, 'Ivan', 'Ivanov'), (44, 'Ivan', 'Ivanov'), (45, 'Ivan', 'Ivanov'), (46, 'Ivan', 'Ivanov'), (47, 'Ivan', 'Ivanov'), (48, 'Ivan', 'Ivanov'), (49, 'Ivan', 'Ivanov'); /!40000 ALTER TABLE `customers` ENABLE KEYS /; -- Dumping structure for view cars.customer_names -- Creating temporary table to overcome VIEW dependency errors CREATE TABLE `customer_names` ( `first_name` VARCHAR(255) NULL COLLATE 'utf8_general_ci', `last_name` VARCHAR(255) NULL COLLATE 'utf8_general_ci' ) ENGINE=MyISAM; -- Dumping structure for view cars.deal -- Creating temporary table to overcome VIEW dependency errors CREATE TABLE `deal` ( `date_time_sale` DATETIME NOT NULL, `amount` INT(10) UNSIGNED NULL, `make` VARCHAR(255) NULL COLLATE 'utf8_general_ci', `model` VARCHAR(255) NULL COLLATE 'utf8_general_ci', `year` SMALLINT(10) NULL, `first_name` VARCHAR(255) NULL COLLATE 'utf8_general_ci', `last_name` VARCHAR(255) NULL COLLATE 'utf8_general_ci' ) ENGINE=MyISAM; -- Dumping structure for function cars.get_full_name DELIMITER // CREATE DEFINER=`root`@`localhost` FUNCTION `get_full_name`(first_name VARCHAR(250), last_name VARCHAR(250)) RETURNS varchar(250) CHARSET utf8 BEGIN DECLARE full_name VARCHAR(250); SET full_name = CONCAT(first_name, ' ', last_name); RETURN full_name; END// DELIMITER ; -- Dumping structure for procedure cars.get_sales DELIMITER // CREATE DEFINER=`root`@`localhost` PROCEDURE `get_sales`() BEGIN SELECT SUM(`amount`) AS total FROM `sales`; END// DELIMITER ; -- Dumping structure for table cars.sales CREATE TABLE IF NOT EXISTS `sales` ( `sale_id` int(10) unsigned NOT NULL AUTO_INCREMENT, `customer_id` int(10) unsigned DEFAULT NULL, `car_id` int(10) unsigned DEFAULT NULL, `date_time_sale` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP, `amount` int(10) unsigned DEFAULT '0', PRIMARY KEY (`sale_id`), KEY `FK_sales_cars` (`car_id`), KEY `FK_sales_customers` (`customer_id`), CONSTRAINT `FK_sales_cars` FOREIGN KEY (`car_id`) REFERENCES `cars` (`id`) ON DELETE CASCADE ON UPDATE CASCADE, CONSTRAINT `FK_sales_customers` FOREIGN KEY (`customer_id`) REFERENCES `customers` (`customer_id`) ON DELETE CASCADE ON UPDATE CASCADE ) ENGINE=InnoDB AUTO_INCREMENT=83 DEFAULT CHARSET=utf8; -- Dumping data for table cars.sales: ~18 rows (approximately) /!40000 ALTER TABLE `sales` DISABLE KEYS /; REPLACE INTO `sales` (`sale_id`, `customer_id`, `car_id`, `date_time_sale`, `amount`) VALUES (1, 4, 4, '2017-01-24 19:52:36', 7000), (2, 5, 5, '2017-02-24 20:00:41', 7000), (3, 7, 7, '2017-03-24 20:01:00', 7000), (4, 8, 8, '2017-03-23 20:03:01', 7000), (5, 9, 9, '2017-03-24 20:03:06', 7000), (6, 10, 10, '2017-04-24 20:03:19', 7000), (7, 11, 11, '2017-04-24 20:05:27', 7000), (8, 12, 12, '2017-05-24 20:07:14', 7000), (9, 13, 13, '2017-05-24 20:09:35', 7000), (10, 14, 14, '2017-06-24 20:11:16', 7000), (11, 15, 15, '2017-06-24 20:11:40', 7000), (12, 16, 16, '2017-07-24 20:12:48', 7000), (13, 17, 17, '2017-07-24 20:17:07', 7000), (14, 18, 18, '2017-08-24 20:17:31', 24000), (15, 19, 19, '2010-08-24 20:17:38', 3800), (16, 20, 20, '2017-09-24 20:17:49', 3490), (17, 21, 21, '2017-09-24 20:19:02', 9876), (18, 22, 22, '2017-10-24 20:22:18', 3800), (26, 23, 23, '2017-10-25 20:06:56', 7000), (27, 24, 24, '2017-10-25 20:13:31', 7000), (39, 28, 28, '2017-10-25 21:08:18', 7000), (40, 28, 28, '2017-10-25 21:08:18', 7000), (41, 29, 29, '2017-10-25 21:08:31', 7000), (42, 29, 29, '2017-10-25 21:08:31', 7000), (43, 30, 30, '2017-10-25 21:13:13', 7000), (44, 30, 30, '2017-10-25 21:13:13', 7000), (45, 31, 31, '2017-10-25 21:13:55', 7000), (46, 31, 31, '2017-10-25 21:13:55', 7000), (47, 32, 32, '2017-10-25 21:14:32', 7000), (48, 32, 32, '2017-10-25 21:14:32', 7000), (49, 33, 33, '2017-10-25 21:15:01', 7000), (50, 33, 33, '2017-10-25 21:15:01', 7000), (51, 34, 34, '2017-10-25 21:15:30', 7000), (52, 34, 34, '2017-10-25 21:15:30', 7000), (53, 35, 35, '2017-10-25 21:15:31', 7000), (54, 35, 35, '2017-10-25 21:15:31', 7000), (55, 36, 36, '2017-10-25 21:15:33', 7000), (56, 36, 36, '2017-10-25 21:15:33', 7000), (57, 37, 37, '2017-10-25 21:16:34', 7000), (58, 37, 37, '2017-10-25 21:16:34', 7000), (59, 38, 38, '2017-10-25 21:16:43', 7000), (60, 38, 38, '2017-10-25 21:16:43', 7000), (61, 39, 39, '2017-10-25 21:17:38', 7000), (62, 39, 39, '2017-10-25 21:17:38', 7000), (63, 40, 40, '2017-10-25 21:18:34', 7000), (64, 40, 40, '2017-10-25 21:18:34', 7000), (65, 41, 41, '2017-10-25 21:19:20', 7000), (66, 41, 41, '2017-10-25 21:19:20', 7000), (67, 42, 42, '2017-10-25 21:19:29', 7000), (68, 42, 42, '2017-10-25 21:19:29', 7000), (69, 43, 43, '2017-10-25 21:19:41', 7000), (70, 43, 43, '2017-10-25 21:19:41', 7000), (71, 44, 44, '2017-10-25 21:20:19', 7000), (72, 44, 44, '2017-10-25 21:20:19', 7000), (73, 45, 45, '2017-10-25 21:20:45', 7000), (74, 45, 45, '2017-10-25 21:20:45', 7000), (75, 46, 46, '2017-10-25 21:25:19', 7000), (76, 46, 46, '2017-10-25 21:25:19', 7000), (77, 47, 47, '2017-10-25 21:25:34', 7000), (78, 47, 47, '2017-10-25 21:25:34', 7000), (79, 48, 48, '2017-10-25 21:25:45', 7000), (80, 48, 48, '2017-10-25 21:25:45', 7000), (81, 49, 49, '2017-10-25 21:25:54', 7000), (82, 49, 49, '2017-10-25 21:25:54', 7000); /!40000 ALTER TABLE `sales` ENABLE KEYS /; -- Dumping structure for trigger cars.total_sales SET @OLDTMP_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION'; DELIMITER // CREATE TRIGGER `total_sales` BEFORE INSERT ON `sales` FOR EACH ROW BEGIN SET @sum = @sum + NEW.amount; END// DELIMITER ; SET SQL_MODE=@OLDTMP_SQL_MODE; -- Dumping structure for view cars.customer_names -- Removing temporary table and create final VIEW structure DROP TABLE IF EXISTS `customer_names`; CREATE ALGORITHM=UNDEFINED DEFINER=`root`@`localhost` SQL SECURITY DEFINER VIEW `customer_names` AS SELECT `first_name`, `last_name` FROM customers ; -- Dumping structure for view cars.deal -- Removing temporary table and create final VIEW structure DROP TABLE IF EXISTS `deal`; CREATE ALGORITHM=UNDEFINED DEFINER=`root`@`localhost` SQL SECURITY DEFINER VIEW `deal` AS SELECT s.date_time_sale, s.amount, cr.make, cr.model, cr.`year`, c.first_name,c.last_name FROM sales AS s JOIN customers AS c USING(customer_id) JOIN cars AS cr ON s.car_id = cr.id ; /!40101 SET SQL_MODE=IFNULL(@OLD_SQL_MODE, '') /; /!40014 SET FOREIGN_KEY_CHECKS=IF(@OLD_FOREIGN_KEY_CHECKS IS NULL, 1, @OLD_FOREIGN_KEY_CHECKS) /; /!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT /;
<gh_stars>0 :r .\InitData\Dymbnails\Preview.sql INSERT INTO [dbo].[Dymbnails] (Title, Description, Content, RatingUp, RatingDown) VALUES ( 'Test dumb 1', 'Testing dumb preview', N'<?xml version="1.0" encoding="utf-8"?> <xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform"> <xsl:output method="xml" encoding="utf-8" /> <xsl:template match="/"> <basic:Canvas xmlns:basic="basic" xmlns:web="web" Size="400 500" Background="Black"> <basic:Rectangle Location="40" Size="320 400" Border="1 White" Padding="4"> <web:Image Size="312 392" Sizing="Stretch" Source="http://i149.photobucket.com/albums/s51/miss-snezhok/sept_2008/a1db9f88.jpg" /> </basic:Rectangle> <basic:Label Location="450 40" Text="Погладь кота, сцука!!11" Color="White" Font="Times New Roman, 22, style=Bold" /> </basic:Canvas> </xsl:template> </xsl:stylesheet>', 5, 1 )
<reponame>ucdavis/AD419<gh_stars>0 CREATE Procedure [dbo].[usp_deleteUserFromRole] -- Add the parameters for the stored procedure here @AppName nvarchar(50), @RoleName nvarchar(50), @LoginID nvarchar(8), @DeletedBy nvarchar(8) AS BEGIN -- SET NOCOUNT ON added to prevent extra result sets from -- interfering with SELECT statements. SET NOCOUNT ON; -- Insert statements for procedure here DECLARE @UID int --get the username DECLARE @AppID int --get the appid DECLARE @RID int --get the roleID DECLARE @DeletedByID int --get the DeletedBy username -- Insert statements for procedure here SET @UID = (SELECT UserID FROM Users WHERE LoginID = @LoginID) SET @DeletedByID = ( SELECT UserID FROM Users WHERE LoginID = @DeletedBy ) --now we have the uid, find appid SET @AppID = ( SELECT TOP 1 ApplicationID FROM Applications WHERE Name = @AppName ) SET @RID = ( SELECT RoleID FROM Roles WHERE (Role = @RoleName) ) -- Grab the @PermissionID that we are to track DECLARE @PermissionID int SET @PermissionID = (SELECT PermissionID FROM Permissions WHERE (UserID = @UID) AND (ApplicationID = @AppID) AND (RoleID = @RID) ) -- Now we can set that permission as false UPDATE Permissions SET Inactive = 1 WHERE PermissionID = @PermissionID -- Now Insert the tracking information -- Now Get the TrackingTypeID for "role" and action for 'delete' DECLARE @TrackingActionID int DECLARE @TrackingTypeID int SET @TrackingActionID = (SELECT TrackingActionID FROM TrackingActions WHERE TrackingAction = 'Delete') SET @TrackingTypeID = (SELECT TrackingTypeID FROM TrackingTypes WHERE TrackingType = 'Role') INSERT INTO Tracking (TrackingTypeID, TrackingActionID, TrackingUserName, TrackingActionDate, Comments) VALUES (@TrackingTypeID, @TrackingActionID,@DeletedByID, GETDATE(), 'Role ' + @RID + ' Removed For ' + @LoginID) END
-- 1. Napisz polecenie, które wyświetla pracowników oraz ich podwładnych (baza orthwind) SELECT E.EmployeeID, E.FirstName, E.LastName, E2.FirstName, E2.LastName FROM Employees AS E INNER JOIN Employees AS E2 ON E.EmployeeID = E2.ReportsTo -- 2. Napisz polecenie, które wyświetla pracowników, którzy nie mają podwładnych (baza northwind) SELECT E.FirstName, E.LastName FROM Employees AS E LEFT JOIN Employees E2 ON E.EmployeeID = E2.ReportsTo WHERE E2.ReportsTo IS NULL -- 3. Napisz polecenie, które wyświetla adresy członków biblioteki, którzy mają dzieci urodzone przed 1 stycznia 1996 SELECT a.member_no, a.street, a.city, a.state, a.zip FROM adult AS a INNER JOIN juvenile j ON a.member_no = j.adult_member_no WHERE j.birth_date < '1996-01-01' -- 4. Napisz polecenie, które wyświetla adresy członków biblioteki, którzy mają dzieci urodzone przed 1 stycznia 1996. -- Interesują nas tylko adresy takich członków biblioteki, którzy aktualnie nie przetrzymują książek. SELECT DISTINCT a.member_no, a.street, a.city, a.state, a.zip FROM adult AS a INNER JOIN juvenile j ON a.member_no = j.adult_member_no LEFT JOIN loanhist l ON a.member_no = l.member_no WHERE j.birth_date < '1996-01-01' AND (l.in_date < GETDATE() OR l.member_no is NULL)
-- -------------------------------------------------------- -- -- Table structure for table `plugin_sms_to_wordpress` -- CREATE TABLE IF NOT EXISTS `plugin_sms_to_wordpress` ( `id_user` int(11) NOT NULL, `wp_username` VARCHAR(50) NOT NULL, `wp_password` VARCHAR(255) NOT NULL, `wp_url` VARCHAR(100) NOT NULL, PRIMARY KEY (`id_user`) );
<gh_stars>0 select * from product
<gh_stars>0 create database social_network; use social_network; /table users / CREATE TABLE users( id int (255) primary key auto_increment not null, role varchar (20), email varchar (255), first_name varchar (255), last_name varchar (255), password varchar (255), alias varchar (255), biography varchar (255), state varchar (2), image varchar (255), CONSTRAINT users_uniques_fields UNIQUE (email, alias) ) ENGINE = InnoDb; /table publications / CREATE TABLE publications ( id int (255) primary key auto_increment not null, user_id int (255), text mediumtext, document varchar(200), image varchar (255), state varchar(50), creation_date datetime, CONSTRAINT fk_publications_users FOREIGN KEY (user_id) references users(id) ) ENGINE = InnoDb; /table likes / CREATE TABLE likes( id int(255) primary key auto_increment not null, user_id int(255), post_id int(255), CONSTRAINT fk_likes_users FOREIGN KEY(user_id) references users(id), CONSTRAINT fk_likes_publications FOREIGN KEY(post_id) references publications(id) )ENGINE = InnoDb; /table followers / CREATE TABLE followers ( id int(255) primary key auto_increment not null, user_id int(255), user_followed int(255), CONSTRAINT fk_followers_users FOREIGN KEY(user_id) references users(id), CONSTRAINT fk_followers FOREIGN KEY(user_followed) references users(id) )ENGINE = InnoDb; /* table messages / CREATE TABLE messages( id int(255) primary key auto_increment not null, message longtext, sender int(255), receiver int(255), file varchar(255), image varchar(255), read_state varchar(3), send_date datetime, CONSTRAINT fk_sender FOREIGN KEY(sender) references users(id), CONSTRAINT fk_receiver FOREIGN KEY(receiver) references users(id) )ENGINE = InnoDb; / table notifications */ CREATE TABLE notifications ( id int (255) primary key auto_increment not null, user_id int (255), type varchar (255), type_id int (255), read_state varchar (3), date datetime, comments varchar (100), CONSTRAINT fk_users_notifications FOREIGN KEY (user_id) references users(id) ) ENGINE = InnoDb;
<filename>amt_gamification_engine.sql -- MySQL Workbench Forward Engineering SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0; SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0; SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='ONLY_FULL_GROUP_BY,STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION'; -- ----------------------------------------------------- -- Schema mydb -- ----------------------------------------------------- -- ----------------------------------------------------- -- Schema mydb -- ----------------------------------------------------- CREATE SCHEMA IF NOT EXISTS `mydb` DEFAULT CHARACTER SET utf8 ; USE `mydb` ; -- ----------------------------------------------------- -- Table `mydb`.`application` -- ----------------------------------------------------- CREATE TABLE IF NOT EXISTS `mydb`.`application` ( `apikey` VARCHAR(36) NOT NULL, `name` VARCHAR(30) NOT NULL, `description` MEDIUMTEXT NULL, PRIMARY KEY (`apikey`)) ENGINE = InnoDB; -- ----------------------------------------------------- -- Table `mydb`.`badges` -- ----------------------------------------------------- CREATE TABLE IF NOT EXISTS `mydb`.`badges` ( `name` VARCHAR(20) NOT NULL, `experienceValue` INT NOT NULL, `application_apikey` VARCHAR(36) NOT NULL, PRIMARY KEY (`name`), CONSTRAINT `fk_badges_application` FOREIGN KEY (`application_apikey`) REFERENCES `mydb`.`application` (`apikey`) ON DELETE NO ACTION ON UPDATE NO ACTION) ENGINE = InnoDB; CREATE INDEX `fk_badges_application_idx` ON `mydb`.`badges` (`application_apikey` ASC) VISIBLE; SET SQL_MODE=@OLD_SQL_MODE; SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS; SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS;
<reponame>kazukgw/my2ms<gh_stars>0 USE [test] GO /**** Object: Table [dbo].[users] Script Date: 2016/08/11 13:17:41 ****/ SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO CREATE TABLE [dbo].[users]( [user_id] [nvarchar](255) NOT NULL, [code] [int] NULL DEFAULT (NULL), [name] [nvarchar](255) NULL DEFAULT (NULL), [mail] [nvarchar](255) NULL DEFAULT (NULL), CONSTRAINT [user_id] PRIMARY KEY CLUSTERED ( [user_id] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] ) ON [PRIMARY] GO
<gh_stars>0 /* Post-Deployment Script Template -------------------------------------------------------------------------------------- This file contains SQL statements that will be appended to the build script. Use SQLCMD syntax to include a file in the post-deployment script. Example: :r .\myfile.sql Use SQLCMD syntax to reference a variable in the post-deployment script. Example: :setvar TableName MyTable SELECT * FROM [$(TableName)] -------------------------------------------------------------------------------------- */ DECLARE @ArtID INT = 0; INSERT INTO [courses].[Colleges] ([Name]) VALUES ('College of Arts and Sciences'); SET @ArtID = SCOPE_IDENTITY; DECLARE @EngID INT = 0; INSERT INTO [courses].[Colleges] ([Name]) VALUES ('College of Engineering'); SET @EngID = SCOPE_IDENTITY; INSERT INTO [courses].[Disciplines] ([Name], [Abbreviation], [CollegeId]) VALUES ('Math', 'Math', @ArtID); --==================================================== DECLARE @MATH INT = 0; INSERT INTO [courses].[Disciplines] ([Name], [Abbreviation], [CollegeId]) VALUES ('Math', 'MATH', @ArtID); SET @MATH = SCOPE_IDENTITY; DECLARE @EECS INT = 0; INSERT INTO [courses].[Disciplines] ([Name], [Abbreviation], [CollegeId]) VALUES ('Electrical Engineering and Computer Science', 'EECS', @EngID); SET @EECS = SCOPE_IDENTITY; DECLARE @CIVE INT = 0; INSERT INTO [courses].[Disciplines] ([Name], [Abbreviation], [CollegeId]) VALUES ('Civil Engineering', 'CIVE', @EngID); SET @CIVE = SCOPE_IDENTITY; DECLARE @CHEM INT = 0; INSERT INTO [courses].[Disciplines] ([Name], [Abbreviation], [CollegeId]) VALUES ('Chemical Engineering', 'CHEM', @EngID); SET @CHEM = SCOPE_IDENTITY; DECLARE @MIME INT = 0; INSERT INTO [courses].[Disciplines] ([Name], [Abbreviation], [CollegeId]) VALUES ('Mechanical and Industrial Engineering', 'MIME', @EngID); SET @MIME = SCOPE_IDENTITY; --==================================================== INSERT INTO [courses].[Courses] ([Name], [Number], [CreditHours], [OfferedFallSemester], [OfferedSpringSemeter], [OfferedSummerSemester], [Description], [DisciplineId]) VALUES ( 'Single Variable Calculus I' ,'1850' ,4 ,1 ,1 ,0 ,'Calculus I' ,@MATH ); INSERT INTO [courses].[Courses] ([Name], [Number], [CreditHours], [OfferedFallSemester], [OfferedSpringSemeter], [OfferedSummerSemester], [Description], [DisciplineId]) VALUES ( 'Single Variable Calculus II' ,'1860' ,4 ,1 ,1 ,0 ,'Calculus II' ,@MATH ); INSERT INTO [courses].[Courses] ([Name], [Number], [CreditHours], [OfferedFallSemester], [OfferedSpringSemeter], [OfferedSummerSemester], [Description], [DisciplineId]) VALUES ( 'Elementary Multivariable Calculus' ,'2840' ,4 ,1 ,1 ,0 ,'Calculus III' ,@MATH ); INSERT INTO [courses].[Courses] ([Name], [Number], [CreditHours], [OfferedFallSemester], [OfferedSpringSemeter], [OfferedSummerSemester], [Description], [DisciplineId]) VALUES ( 'Numerical Methods and Linear Algebra' ,'2890' ,3 ,1 ,1 ,0 ,'Linear Algebra' ,@MATH ); INSERT INTO [courses].[Courses] ([Name], [Number], [CreditHours], [OfferedFallSemester], [OfferedSpringSemeter], [OfferedSummerSemester], [Description], [DisciplineId]) VALUES ( 'Differential Equations' ,'2860' ,3 ,1 ,1 ,0 ,'Pain and misery' ,@MATH ); INSERT INTO [courses].[Courses] ([Name], [Number], [CreditHours], [OfferedFallSemester], [OfferedSpringSemeter], [OfferedSummerSemester], [Description], [DisciplineId]) VALUES ( 'Intro to Object Oriented Programming' ,'1510' ,3 ,1 ,1 ,0 ,'Basics on Object-Oriented design, languages, and implementation.' ,@EECS );
<filename>src/test/resources/check_1.sql create table test ( name char, value integer ); insert into test values ( 'a', 1 ); insert into test values ( 'b', 2 );
delete from eg_wf_matrix where objecttype='TradeLicense'; INSERT INTO eg_wf_matrix VALUES (nextval('EG_WF_MATRIX_SEQ'), 'ANY', 'TradeLicense','Create License:NEW', NULL, NULL, 'Revenue Clerk,Junior Assistant', NULL, 'Create License:Sanitary inspector Approve pending', 'Sanitory Inspector Approval Pending', 'Sanitary inspector,Medical store officer', 'Clerk Approved', 'Forward,Reject', NULL, NULL, '2015-04-01', '2099-04-01'); INSERT INTO eg_wf_matrix VALUES (nextval('EG_WF_MATRIX_SEQ'), 'ANY', 'TradeLicense', 'Create License:Sanitary inspector Approve pending', NULL, NULL, 'Sanitary inspector,Medical store officer', NULL, 'Create License:Sanitary inspector Approved', 'Commissioner Approval pending', 'Commissioner', 'Assistant health officer Approved', 'Forward,Reject', NULL, NULL, '2015-04-01', '2099-04-01'); INSERT INTO eg_wf_matrix VALUES (nextval('EG_WF_MATRIX_SEQ'), 'ANY', 'TradeLicense', 'Create License:Sanitary inspector Approved', NULL, NULL, 'Commissioner', NULL, 'Create License:Commissioner Approved', 'collection pending', 'Commissioner', 'Commissioner Approved', 'Approve,Reject', NULL, NULL, '2015-04-01', '2099-04-01'); INSERT INTO eg_wf_matrix VALUES (nextval('EG_WF_MATRIX_SEQ'), 'ANY', 'TradeLicense', 'Create License:Commissioner Approved', NULL, NULL, 'Commissioner', NULL, 'Create License:generate Certificate', 'generate certificate pending', 'Revenue Clerk,Junior Assistant', 'collction Done', 'Save', NULL, NULL, '2015-04-01', '2099-04-01'); INSERT INTO eg_wf_matrix VALUES (nextval('EG_WF_MATRIX_SEQ'), 'ANY', 'TradeLicense', 'Create License:generate Certificate', NULL, NULL, 'Revenue Clerk,unior Assistant', NULL,'Create License:END', 'END',NULL, NULL, 'Generate Certificate', NULL,NULL, '2015-04-01', '2099-04-01'); INSERT INTO eg_wf_matrix VALUES (nextval('EG_WF_MATRIX_SEQ'), 'ANY', 'TradeLicense', 'Create License:Rejected', NULL, NULL, 'Revenue Clerk,Junior Assistant', NULL, 'Create License:Sanitary inspector Approve pending', 'Sanitory Inspector Approval Pending', 'Sanitary inspector,Medical store officer', NULL, 'Forward,Reject', NULL, NULL, '2015-04-01', '2099-04-01');

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