sql
stringlengths 6
1.05M
|
|---|
ALTER TABLE "Projects" ADD "Color" integer NOT NULL DEFAULT 0;
INSERT INTO "__EFMigrationsHistory" ("MigrationId", "ProductVersion")
VALUES ('20201027220838_ProjectColor', '3.1.9');
|
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--
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/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
CREATE DATABASE `student_info`;
USE `student_info`;
--
-- Table structure for table `course`
--
/*!40101 SET @saved_cs_client = @@character_set_client */;
SET character_set_client = utf8mb4 ;
CREATE TABLE `course` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`coz_num` varchar(100) NOT NULL,
`coz_name` varchar(100) DEFAULT NULL,
`coz_time` int(11) NOT NULL,
`coz_point` double NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `course_id_uindex` (`id`),
UNIQUE KEY `course_coz_num_uindex` (`coz_num`)
) ENGINE=InnoDB AUTO_INCREMENT=37 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='课程表';
/*!40101 SET character_set_client = @saved_cs_client */;
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INSERT INTO `course` (`id`, `coz_num`, `coz_name`, `coz_time`, `coz_point`) VALUES (5,'1','软件工程',32,1),(6,'2','数据库设计',32,1),(7,'3','计算机导论',32,1),(8,'4','C语言程序设计',32,1),(9,'5','高等数学',32,1),(10,'6','大学物理',32,1),(11,'7','线性代数',32,1),(12,'8','计算机网络',32,1),(13,'9','Java（I）',32,1),(14,'10','Java（II）',32,1),(15,'11','Java（III）',32,1),(16,'12','大学英语',32,1),(17,'13','计算机组成原理',32,1),(18,'14','软件测试',32,1),(19,'15','软件结构',32,1),(20,'16','软件构造',32,1),(21,'17','脚本编程',32,1),(22,'18','需求工程',32,1),(23,'19','数据结构',32,1),(24,'20','体育1',32,1),(25,'21','体育2',32,1),(26,'22','体育3',32,1),(27,'23','体育4',32,1),(28,'24','离散数学',32,1),(29,'25','线性代数',32,1),(30,'26','马克思主义基本原理',32,1),(31,'27','思想道德',32,1),(32,'28','大学音乐',32,1),(33,'29','大学心理健康',32,1),(36,'30','大学语文',32,1);
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SET character_set_client = utf8mb4 ;
CREATE TABLE `student` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`stu_num` varchar(20) NOT NULL,
`stu_name` varchar(20) NOT NULL,
`stu_sex` enum('Male','Female') NOT NULL,
`stu_birthday` date NOT NULL,
`stu_class` varchar(50) NOT NULL,
`stu_profession` varchar(100) NOT NULL,
`stu_department` varchar(100) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `student_id_uindex` (`id`),
UNIQUE KEY `student_stu_num_uindex` (`stu_num`)
) ENGINE=InnoDB AUTO_INCREMENT=41 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='学生表';
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INSERT INTO `student` (`id`, `stu_num`, `stu_name`, `stu_sex`, `stu_birthday`, `stu_class`, `stu_profession`, `stu_department`) VALUES (9,'201819901','王1','Male','1999-12-23','2018199','软件工程','信息工程学院'),(10,'201819902','王2','Male','2000-01-02','2018199','软件工程','信息工程学院'),(11,'201819903','王3','Female','2000-01-03','2018199','软件工程','信息工程学院'),(12,'201819904','王4','Male','2000-01-04','2018199','软件工程','信息工程学院'),(13,'201819905','王5','Female','2000-01-05','2018199','软件工程','信息工程学院'),(14,'201819906','王6','Male','2000-01-06','2018199','软件工程','信息工程学院'),(15,'201819907','王7','Female','2000-01-07','2018199','软件工程','信息工程学院'),(16,'201819908','王8','Male','2000-01-08','2018199','软件工程','信息工程学院'),(17,'201819909','王9','Female','2000-01-09','2018199','软件工程','信息工程学院'),(19,'201819910','王10','Male','2000-01-10','2018199','软件工程','信息工程学院'),(20,'201819911','王11','Male','2000-01-11','2018199','软件工程','信息工程学院'),(21,'201819912','王12','Male','2000-01-12','2018199','软件工程','信息工程学院'),(22,'201819913','王13','Male','2000-01-13','2018199','软件工程','信息工程学院'),(23,'201819915','王15','Female','2000-01-14','2018199','软件工程','信息工程学院'),(24,'201819916','王16','Male','2000-01-15','2018199','软件工程','信息工程学院'),(25,'201819917','李16','Male','2000-01-16','2018199','软件工程','信息工程学院'),(26,'201819918','李17','Male','2000-01-17','2018199','软件工程','信息工程学院'),(27,'201819919','李18','Female','2000-01-18','2018199','软件工程','信息工程学院'),(28,'201819920','李19','Male','2000-02-15','2018199','软件工程','信息工程学院'),(29,'201819921','李20','Male','2000-03-15','2018199','软件工程','信息工程学院'),(30,'201819922','赵16','Male','2000-04-15','2018199','软件工程','信息工程学院'),(31,'201819923','赵15','Male','2000-05-15','2018199','软件工程','信息工程学院'),(32,'201819924','赵14','Male','2000-06-15','2018199','软件工程','信息工程学院'),(33,'201702404','赵17','Male','2000-07-15','2018200','软件工程','信息工程学院'),(34,'201702405','赵1','Male','2000-08-15','2018200','软件工程','信息工程学院'),(35,'201702406','赵7','Male','2000-09-15','2018200','软件工程','信息工程学院'),(36,'201910910','孙10','Male','2001-01-30','2019109','网络工程','信息工程学院'),(37,'201910911','孙11','Male','2001-01-11','2019109','网络工程','信息工程学院'),(38,'201910912','孙12','Male','2001-01-10','2019109','网络工程','信息工程学院'),(39,'201910913','孙13','Male','2001-01-25','2019109','网络工程','信息工程学院');
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--
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SET character_set_client = utf8mb4 ;
CREATE TABLE `score` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`stu_num` varchar(20) NOT NULL,
`coz_num` varchar(100) NOT NULL,
`score` int(11) NOT NULL,
`retest_score` int(11) DEFAULT NULL,
`coz_name` varchar(100) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `score_id_uindex` (`id`),
UNIQUE KEY `stu_num` (`stu_num`,`coz_num`),
KEY `score_course_coz_num_fk` (`coz_num`),
CONSTRAINT `score_course_coz_num_fk` FOREIGN KEY (`coz_num`) REFERENCES `course` (`coz_num`),
CONSTRAINT `score_student_stu_num_fk` FOREIGN KEY (`stu_num`) REFERENCES `student` (`stu_num`)
) ENGINE=InnoDB AUTO_INCREMENT=41 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='成绩表';
/*!40101 SET character_set_client = @saved_cs_client */;
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INSERT INTO `score` (`id`, `stu_num`, `coz_num`, `score`, `retest_score`, `coz_name`) VALUES (11,'201819902','2',67,NULL,'数据库设计'),(12,'201819903','2',67,NULL,'数据库设计'),(13,'201819904','3',78,NULL,'计算机导论'),(14,'201819905','5',78,NULL,'高等数学'),(15,'201819906','1',90,NULL,'软件工程'),(16,'201819907','2',89,NULL,'数据库设计'),(17,'201819907','3',67,NULL,'计算机导论'),(18,'201819907','4',89,NULL,'C语言程序设计'),(19,'201819908','3',89,NULL,'计算机导论'),(20,'201819908','4',45,NULL,'C语言程序设计'),(21,'201819909','5',78,NULL,'高等数学'),(22,'201819909','10',78,NULL,'Java（II）'),(23,'201819910','20',67,NULL,'体育1'),(24,'201819911','23',59,70,'体育4'),(25,'201819920','25',78,NULL,'线性代数'),(26,'201819913','22',72,NULL,'体育3'),(27,'201819915','14',78,NULL,'软件测试'),(28,'201819915','1',78,NULL,'软件工程'),(29,'201819915','2',67,NULL,'数据库设计'),(30,'201819915','3',67,NULL,'计算机导论'),(31,'201819915','5',89,NULL,'高等数学'),(32,'201819916','7',89,NULL,'线性代数'),(33,'201910913','3',78,NULL,'计算机导论'),(34,'201910913','8',90,NULL,'计算机网络'),(35,'201910913','6',56,NULL,'大学物理'),(36,'201702406','23',67,NULL,'体育4'),(37,'201702406','10',47,NULL,'Java（II）'),(38,'201702406','1',90,NULL,'软件工程'),(39,'201702404','4',78,NULL,'C语言程序设计'),(40,'201702404','28',90,NULL,'大学音乐');
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SET character_set_client = utf8mb4 ;
CREATE TABLE `user` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(100) NOT NULL,
`password` varchar(100) NOT NULL,
`token` varchar(50) DEFAULT NULL,
`role` enum('Admin','Other') NOT NULL DEFAULT 'Other',
PRIMARY KEY (`id`),
UNIQUE KEY `user_id_uindex` (`id`),
UNIQUE KEY `user_name_uindex` (`name`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci COMMENT='用户表';
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INSERT INTO `user` (`id`, `name`, `password`, `token`, `role`) VALUES (1,'admin','<PASSWORD>','<PASSWORD>','Admin'),(2,'201819914','<PASSWORD>',NULL,'Other');
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-- Dump completed on 2020-12-29 16:47:19
|
<filename>les_4_hw/hw4.sql
# База данных «Страны и города мира»:
# 1. Сделать запрос, в котором мы выберем все данные о городе – регион, страна.
USE GB_schema;
CREATE VIEW `view_hw4.1` AS
SELECT `_cities`.`title` AS 'Город',
`_countries`.`title` AS 'Страна',
`_regions`.`title` AS 'Область'
FROM `_cities`
LEFT JOIN `_countries`
ON `_countries`.`id` = `_cities`.`country_id`
LEFT JOIN `_regions`
ON `_regions`.`id` = `_cities`.`region_id`;
# После этого делаем проверочную выборку
select * from `view_hw4.1`;
# ============================================
# 2. Выбрать все города из Московской области.
USE GB_schema;
CREATE VIEW `VIEW_4.2` AS
SELECT `_cities`.`title` AS 'Город',
`_countries`.`title` AS 'Страна',
`_regions`.`title` AS 'Область'
FROM `_cities`
LEFT JOIN `_countries`
ON `_countries`.`id` = `_cities`.`country_id`
LEFT JOIN `_regions`
ON `_regions`.`id` = `_cities`.`region_id`
WHERE `_regions`.`title` = 'Московская ';
# ============================================
# 1. Выбрать среднюю зарплату по отделам.
USE `sotrudniki`;
CREATE VIEW `view_get_avg_zp_by_depart` AS
SELECT AVG(`zp`) AS 'Средняя ЗП', `depart`.`name` AS 'Отдел' FROM `shtat`
LEFT JOIN `depart`
ON `depart`.`id` = `shtat`.`otdel`
GROUP BY `otdel`;
# ============================================
# Потренируемся создавать процедуры
use `sotrudniki`;
delimiter //
# Создадим процедуру
CREATE DEFINER=`root`@`localhost` PROCEDURE `find_manager`(OUT param1 varchar(25))
BEGIN
SELECT COUNT(*) INTO param1 FROM `sotrudniki`.`shtat`;
END//
delimiter ;
# Вызовем процедуру
call `find_manager`(@a);
select @a as 'ФИО';
# ============================================
delimiter //
# Создадим еще одну процедуру
CREATE PROCEDURE proc_test(OUT par1 INT)
-> BEGIN
-> SELECT MAX(`zp`) INTO par1 FROM `shtat` LIMIT 1;
-> END//
delimiter ;
CALL `proc_test` (@b);
SELECT @b;
+-------+
| @b |
+-------+
| 23000 |
+-------+
1 row in set (0,00 sec)
# ============================================
# 2. Создать функцию, которая найдет менеджера по имени и фамилии.
# функция выдает id сотрудника по имени
use sotrudniki;
DROP function if exists `get_manager_id_by_name`;
CREATE FUNCTION `get_manager_id_by_name` (username VARCHAR(50))
RETURNS INT DETERMINISTIC READS SQL DATA
RETURN (SELECT `id` FROM `shtat` WHERE `name` = username);
# Проверим работу функции
mysql> SELECT `get_manager_id_by_name` ('Anton') as `id`;
+------+
| id |
+------+
| 1 |
+------+
1 row in set (0,00 sec)
# ====================================================
# Создадим базу для триггера
mysql> USE `sotrudniki`;
mysql> CREATE TABLE `salary` (
`id` INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
`sotr_id` INT,
`income` INT
);
Query OK, 0 rows affected (0,39 sec)
# создадим триггер
mysql> CREATE TRIGGER `trig_bonus`
AFTER INSERT ON `shtat`
FOR EACH ROW
INSERT INTO `salary` (`sotr_id`, `income`) VALUES (NEW.id, 10000);
Query OK, 0 rows affected (0,12 sec)
# проверим триггер
INSERT INTO `sotrudniki`.`shtat`
(`zp`, `name`, `lastname`, `otdel`) VALUES
('7777', 'Волков', 'Коммандер', '2');
# видим что добавился сотрудник
<NAME> с id 11 и в таблице
salary появился бонус для сотрудника с id 11
salary появился бонус для сотрудника с id 11
mysql> SELECT * FROM `sotrudniki`.`shtat`
-> ;
+----+------------------+----------------------+-------+--------+
| id | name | lastname | otdel | zp |
+----+------------------+----------------------+-------+--------+
| 1 | Тарас | Голомозый | 1 | 25000 |
| 2 | Андрей | Юрченко | 1 | 20000 |
| 4 | Антон | Полонников | 2 | 27000 |
| 5 | Анатолий | Башлыков | 1 | 25000 |
| 7 | Аркадий | Паровозов | 1 | 1500 |
| 8 | Вася | Левченко | 4 | 30000 |
| 9 | 123 | 123 | 1 | 123123 |
| 10 | Ваваыв | авыфа | 2 | 222222 |
| 11 | Волков | Коммандер | 2 | 7777 |
+----+------------------+----------------------+-------+--------+
9 rows in set (0,00 sec)
mysql> SELECT * FROM `sotrudniki`.`salary`;
+----+---------+--------+
| id | sotr_id | income |
+----+---------+--------+
| 1 | 11 | 10000 |
+----+---------+--------+
1 row in set (0,00 sec)
|
<gh_stars>0
-- -----------------------------------------------------
-- TABLE: bookmark_context
-- ACTION: CREATE OR REPLACE
-- -----------------------------------------------------
-- NOTES:
-- Example Google Bookmarks context listing <H3 ADD_DATE="1641490290" LAST_MODIFIED="1641490306">Legislation</H3>
-- -----------------------------------------------------
DROP TABLE IF EXISTS bookmark_context;
CREATE OR REPLACE TABLE bookmark_context (
bookmark_context_id BIGINT UNSIGNED NOT NULL AUTO_INCREMENT COMMENT 'PRIMARY KEY for table \'bookmark_context_id\'',
import_file_line_number INT NULL COMMENT 'For any given imported record a line number from the file is stored here',
context_uuid TEXT NULL DEFAULT null COMMENT 'Machine/program generated Unique User IDentifier string',
context_label TEXT NULL DEFAULT null COMMENT 'Text label for the URL context record',
context_add_datetime TEXT NULL DEFAULT null COMMENT 'The added datetime from the bookmarks import',
context_modified_datetime DATETIME NULL DEFAULT null COMMENT 'The modified datetime from the bookmarks import',
context_description TEXT NULL DEFAULT null COMMENT 'This is the user defined description for the URL context record.',
create_datetime DATETIME NOT NULL DEFAULT current_timestamp() COMMENT 'DATETIME timestamp for the tuple create datetime in the format YYYY-MM-DD HH:MM:SS.ffffff',
CONSTRAINT PRIMARY KEY (bookmark_context_id)
)
COMMENT 'Table to store raw URL context tree node records'
ENGINE = InnoDB;
-- -----------------------------------------------------
|
USE [AIDE]
GO
DROP VIEW [dbo].[vw_WeekRange]
GO
/****** Object: View [dbo].[vw_WeekRange] Script Date: 09/30/2020 6:29:43 PM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
ALTER VIEW [dbo].[vw_WeekRange] AS
Select wk.WEEK_ID as WeekID,
wk.WEEK_START as WeekStart,
wk.WEEK_END as WeekEnd,
Convert(varchar,wk.WEEK_END,112) as [Range],
dbo.fn_getFiscalYear(wk.WEEK_START,wk.WEEK_START) as FiscalYear,
wk.MONTH as [Month],
Year(wk.Week_Start) as [Year]
From WEEK_RANGE wk
GO
|
<filename>hr2-java-parent/hr2-backend-impl/src/main/resources/initscripts/3.sql<gh_stars>1-10
CREATE TABLE ERTEKKESZLET_ELEM
(
ID INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
TIPUS VARCHAR(30),
MEGNEVEZES_MAGYAR VARCHAR(255),
MEGNEVEZES_ANGOL VARCHAR(255)
)
/
ALTER TABLE ERTEKKESZLET_ELEM
ADD UNIQUE INDEX (TIPUS, MEGNEVEZES_MAGYAR)
/
ALTER TABLE ERTEKKESZLET_ELEM
ADD UNIQUE INDEX (TIPUS, MEGNEVEZES_ANGOL)
/
-- ALLAMPOLGARSAG
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(1, 'ALLAMPOLGARSAG', 'Magyar', 'Hungarian')
/
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(2, 'ALLAMPOLGARSAG', 'Angol', 'English')
/
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(3, 'ALLAMPOLGARSAG', 'Német', 'German')
/
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(4, 'ALLAMPOLGARSAG', 'Szlovák', 'Slovak')
/
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(5, 'ALLAMPOLGARSAG', 'Spanyol', 'Spanish')
/
-- SZERVEZETI_EGYSEG
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(6, 'SZERVEZETI_EGYSEG', 'Adminisztráció - Biatorbágy', 'Administration - Biatorbagy')
/
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(7, 'SZERVEZETI_EGYSEG', 'Menedzsment - Bécs', 'Management - Vienna')
/
-- KOLTSEGHELY
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(10, 'KOLTSEGHELY', 'HR - Munkaügy', 'HR - Labor')
/
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(11, 'KOLTSEGHELY', 'Menedzsment - Sales', 'Management - Sales')
/
-- FOGLALKOZASI_VISZONY
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(12, 'FOGLALKOZASI_VISZONY', 'Alkalmazásban álló', 'Employed')
/
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(13, 'FOGLALKOZASI_VISZONY', 'Önálló, egyéni vállalkozó', 'Independent, Self-employed')
/
-- FOGLALKOZTATAS_JELLEGE
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(14, 'FOGLALKOZTATAS_JELLEGE', 'Teljes munkaidőben foglalkoztatva', 'Full-time employed')
/
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(15, 'FOGLALKOZTATAS_JELLEGE', 'Részmunkaidőben foglalkoztatva', 'Part-time employed')
/
-- FEOR
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(18, 'FEOR', 'Humánpolitikai adminisztrátor', 'Human Resources Administrator')
/
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(19, 'FEOR', 'Favágó', 'Lumberjack')
/
-- MUNKAKOR
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(20, 'MUNKAKOR', 'Személyi', 'Personal')
/
INSERT INTO ERTEKKESZLET_ELEM(ID, TIPUS, MEGNEVEZES_MAGYAR, MEGNEVEZES_ANGOL) VALUES(21, 'MUNKAKOR', 'Egyéb', 'Other')
/ |
<reponame>scionaltera/agony-engine
-- Add version column
ALTER TABLE game_map ADD COLUMN version INTEGER;
-- Set every existing map to the immutable version
-- They're all inventories and two handmade zones, so they shouldn't get updated
-- when we wire that functionality in
UPDATE game_map SET version = -1;
-- Now that none of the versions are null we can add the NOT NULL constraint
-- to prevent any new maps without versions from getting in
ALTER TABLE game_map MODIFY version INTEGER NOT NULL;
-- Fix any inventory maps that are already in the game with the wrong tile number
UPDATE game_map SET tiles = unhex('00') WHERE tileset_id = uuid_bin('429a3d68-7658-47b0-bba7-8a1d52fb097e');
|
-- file:alter_table.sql ln:2181 expect:true
CREATE TABLE part2 (
a int NOT NULL CHECK (a = 1),
b int NOT NULL CHECK (b >= 10 AND b < 18)
)
|
SELECT * FROM "projets.csv" proj GROUP BY proj.responsable;
[normal]
idp, titre, responsable
13, Cancer, 4
9, Scorpius, 5
19, Libra, 8
18, Sagitta, 15
14, Lyra, 26
3, Virgo, 29
12, Ursa, 38
17, Aquila, 40
16, Perseus, 44
7, Orion, 48
1, Andromeda, 68
20, Aries, 75
5, Aquarius, 79
4, Pegasus, 94
6, Ophiuchus, 96
8, Pisces, 99
|
<filename>populate test Database.sql
########################################
# Populate script Project Sample Database
# <NAME>
########################################
USE Gamedb;
########################
# Populate Games table
########################
INSERT INTO Games(Game, System, Publisher, Year, Price)
VALUES('Sonic', 'Sega Genesis', 'SEGA', 1991, 20),
('Super Mario', 'NES', 'Nintendo', 1985, 10),
('<NAME>', '3DS', 'Nintendo', 2011, 40),
('Undertale', 'PC', 'Toby Fox', 2015, 15),
('Minecraft', 'PC', 'Mojang', 2009, 30),
('Pokemon Emerald', 'GBA', 'Game Freak', 2004, 20),
('Pokemon Heart Gold', 'DS', 'Game Freak', 2009, 45),
('Pokemon Sun', '3DS', 'Game Freak', 2016, 50),
('Divinity Original Sin', 'PC', 'Larian Studios', 2014, 45),
('Divinity Original Sin 2', 'PC', 'Larian Studios', 2017, 60);
#########################
# Populate Systems table
#########################
INSERT INTO Systems(System, Type, Creator, YearMade)
VALUES('NES', 'Console', 'Nintendo', 1985, 50),
('Sega Genesis', 'Console', 'SEGA', 1991, 30),
('3DS', 'Handheld', 'Nintendo', 2011, 200),
('DS', 'Handheld', 'Nintendo', 2004, 100),
('GBA', 'Handheld', 'Nintendo', 2001, 70),
('PC', 'Console', 'Microsoft', 1985, 600);
|
SELECT
coalesce(MAX(apps), 'unknown') AS "metric",
time,
MIN(current) AS "value"
FROM
(
SELECT
CONCAT(labels->>'exported_namespace', '/', labels->>'deployment') AS "apps",
"time",
value AS "current"
FROM metrics
WHERE
$__timeFilter("time") and
name = 'kube_deployment_status_replicas_available' and
value != 'NaN'
) t
GROUP BY apps, time
ORDER BY apps, time; |
<reponame>menarasb/duitkuCI4<filename>db/duitku (1).sql
-- phpMyAdmin SQL Dump
-- version 5.0.2
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Aug 09, 2020 at 02:11 PM
-- Server version: 10.4.13-MariaDB
-- PHP Version: 7.4.8
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: `duitku`
--
-- --------------------------------------------------------
--
-- Table structure for table `jenis`
--
CREATE TABLE `jenis` (
`id` int(255) NOT NULL,
`jenis` varchar(255) DEFAULT NULL,
`name` varchar(255) NOT NULL,
`position` varchar(255) NOT NULL,
`office` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `jenis`
--
INSERT INTO `jenis` (`id`, `jenis`, `name`, `position`, `office`) VALUES
(1, 'Tarik Tunai', 'Holysgit', 'Pimpinan', 'Pasuruan'),
(4, 'Coba', 'Alexander', 'Babu', 'Malang'),
(5, 'ga tau lagi', 'Miciga', 'Babu Juga', 'Malang');
-- --------------------------------------------------------
--
-- Table structure for table `rekening`
--
CREATE TABLE `rekening` (
`id` int(255) NOT NULL,
`date` date NOT NULL,
`pemasukan` decimal(10,0) NOT NULL,
`pengeluaran` decimal(10,0) NOT NULL,
`keterangan` text NOT NULL,
`jenis` text NOT NULL,
`file` text DEFAULT NULL,
`UserEntry` varchar(25) NOT NULL,
`created_at` datetime NOT NULL,
`updated_at` datetime NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `rekening`
--
INSERT INTO `rekening` (`id`, `date`, `pemasukan`, `pengeluaran`, `keterangan`, `jenis`, `file`, `UserEntry`, `created_at`, `updated_at`) VALUES
(15, '2020-08-06', '0', '100000', 'tes', 'tes', '', '', '2020-08-06 04:50:42', '2020-08-07 18:35:56'),
(16, '2020-08-06', '0', '12000', 'tes', 'Setoran ku', NULL, '', '2020-08-06 04:52:11', '2020-08-06 04:52:11'),
(24, '2020-08-06', '0', '100000', 'tes', 'Setoran kudalu', '1596710702_0ff3a1e10764c554dd41.png', '', '2020-08-06 05:37:11', '2020-08-06 05:45:02'),
(25, '2020-08-06', '0', '1000000', 'tes', 'Setoran ku', '1596710848_69a5304c88abe6e5b1ad.png', '', '2020-08-06 05:47:28', '2020-08-06 05:47:28'),
(26, '2020-08-14', '0', '100000', 'tesss', 'Setoran ku', '1596713790_5f03a59e932f31f492be.png', '', '2020-08-06 06:36:20', '2020-08-06 06:36:30'),
(27, '2020-08-07', '0', '100000', 'tessss', 'tessss', NULL, '', '2020-08-06 14:13:02', '2020-08-06 14:13:02'),
(28, '2020-08-07', '0', '0', 'tessss', 'Atlanta', '1596793140_5bea115083746ab3b6ac.jpg', '', '2020-08-06 14:13:15', '2020-08-07 04:39:00'),
(29, '2020-08-08', '2', '1000000', 'asdasd', 'Tarik Tunai', '1596849286_88a3983039aa83d8afa4.png', '', '2020-08-07 20:14:37', '2020-08-07 20:14:46'),
(30, '2020-08-08', '0', '1000000', 'tes', 'Tarik Tunai', NULL, '', '2020-08-07 20:41:08', '2020-08-07 20:41:08'),
(31, '0000-00-00', '0', '1000000', 'tes', 'Tarik Tunai', NULL, '', '2020-08-07 20:41:50', '2020-08-07 20:41:50'),
(32, '0000-00-00', '0', '1000000', 'tes', 'Tarik Tunai', NULL, '', '2020-08-07 20:42:10', '2020-08-07 20:42:10'),
(33, '2020-08-08', '0', '1000000', 'coba perfect', 'Tarik Tunai', '1596850984_75220d5b6e1096e8f2a6.png', '', '2020-08-07 20:43:04', '2020-08-07 20:43:04');
-- --------------------------------------------------------
--
-- Table structure for table `settings`
--
CREATE TABLE `settings` (
`id` int(11) NOT NULL,
`site_name` varchar(255) NOT NULL,
`sep` varchar(25) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `settings`
--
INSERT INTO `settings` (`id`, `site_name`, `sep`) VALUES
(1, 'DuitKu 1.0 Beta Version', '|');
-- --------------------------------------------------------
--
-- Table structure for table `tunai`
--
CREATE TABLE `tunai` (
`id` int(255) NOT NULL,
`id_rekening` int(255) NOT NULL,
`date` datetime NOT NULL,
`pemasukan` decimal(10,0) NOT NULL,
`pengeluaran` decimal(10,0) NOT NULL,
`keterangan` text NOT NULL,
`jenis` text NOT NULL,
`file` text DEFAULT NULL,
`UserEntry` varchar(25) NOT NULL,
`created_at` datetime NOT NULL,
`updated_at` datetime NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tunai`
--
INSERT INTO `tunai` (`id`, `id_rekening`, `date`, `pemasukan`, `pengeluaran`, `keterangan`, `jenis`, `file`, `UserEntry`, `created_at`, `updated_at`) VALUES
(1, 32, '0000-00-00 00:00:00', '1000000', '0', 'tes', 'Tarik Tunai', NULL, '', '2020-08-07 20:42:10', '2020-08-07 20:42:10'),
(2, 33, '2020-08-08 00:00:00', '1000000', '0', 'coba perfect', 'Tarik Tunai', '1596850984_75220d5b6e1096e8f2a6.png', '', '2020-08-07 20:43:04', '2020-08-07 20:43:04');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `jenis`
--
ALTER TABLE `jenis`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `rekening`
--
ALTER TABLE `rekening`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `settings`
--
ALTER TABLE `settings`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `tunai`
--
ALTER TABLE `tunai`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `jenis`
--
ALTER TABLE `jenis`
MODIFY `id` int(255) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- AUTO_INCREMENT for table `rekening`
--
ALTER TABLE `rekening`
MODIFY `id` int(255) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=34;
--
-- AUTO_INCREMENT for table `settings`
--
ALTER TABLE `settings`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `tunai`
--
ALTER TABLE `tunai`
MODIFY `id` int(255) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
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 or replace function f_mask_bigint (bigint, varchar, varchar)
returns bigint
immutable
as $$
select case
when $3 is null then null
when $3 = 'N' then $1
when $3 = 'F' then strtol(substr(md5($1), 1,15), 16)
else case $2
when 'cc' then mod($1, 1000)
else substring($1::varchar, 1, 3)::int end
end
$$ language sql;
|
USE [mdw]
GO
IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = OBJECT_ID(N'[DF_SSASQuery_CreatedDateTime]') AND type = 'D')
BEGIN
ALTER TABLE [ssas].[SSASQuery] DROP CONSTRAINT [DF_SSASQuery_CreatedDateTime]
END
GO
IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = OBJECT_ID(N'[DF_SSASQuery_LastModifiedDateTime]') AND type = 'D')
BEGIN
ALTER TABLE [ssas].[SSASQuery] DROP CONSTRAINT [DF_SSASQuery_LastModifiedDateTime]
END
GO
USE [mdw]
GO
/****** Object: Table [ssas].[SSASQuery] Script Date: 12/23/2008 14:46:37 ******/
IF EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[ssas].[SSASQuery]') AND type in (N'U'))
DROP TABLE [ssas].[SSASQuery]
GO
USE [mdw]
GO
/****** Object: Table [ssas].[SSASQuery] Script Date: 12/23/2008 14:46:37 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [ssas].[SSASQuery](
[QueryID] [int] IDENTITY(1,1) NOT NULL,
[QueryString] [nvarchar](max) NOT NULL,
[NK_QueryDataLength] [int] NOT NULL,
[NK_QueryChecksum] [int] NOT NULL,
[DW_Created] [datetime] NOT NULL,
[DW_LastModified] [datetime] NOT NULL,
[DW_BatchID] [int] NOT NULL,
CONSTRAINT [PK_SSASQuery] PRIMARY KEY CLUSTERED
(
[QueryID] 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
ALTER TABLE [ssas].[SSASQuery] ADD CONSTRAINT [DF_SSASQuery_CreatedDateTime] DEFAULT (getdate()) FOR [DW_Created]
GO
ALTER TABLE [ssas].[SSASQuery] ADD CONSTRAINT [DF_SSASQuery_LastModifiedDateTime] DEFAULT (getdate()) FOR [DW_LastModified]
GO
|
<reponame>kccb-karp/IQCareMigration
IF EXISTS(select * FROM sys.views where name = 'SubCountyView')
DROP VIEW [dbo].[SubCountyView]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE VIEW [dbo].[SubCountyView]
AS
select distinct CountyId,SubCountyId,SubCountyName from County
go |
CREATE EXTENSION pg_trgm;
|
select arn, load_balancer_attributes, tags_src
from aws.aws_ec2_gateway_load_balancer
where arn = '{{ output.resource_aka.value }}'; |
<filename>sql/40-inventoryitems.sql<gh_stars>1-10
CREATE TABLE IF NOT EXISTS `inventoryitems` (
`inventoryitemid` bigint(20) UNSIGNED NOT NULL,
`characterid` int(11) DEFAULT NULL,
`accountid` int(11) DEFAULT NULL,
`packageid` int(11) DEFAULT NULL,
`itemid` int(11) NOT NULL DEFAULT 0,
`inventorytype` int(11) NOT NULL DEFAULT 0,
`position` int(11) NOT NULL DEFAULT 0,
`quantity` int(11) NOT NULL DEFAULT 0,
`owner` tinytext DEFAULT NULL,
`GM_Log` tinytext DEFAULT NULL,
`uniqueid` int(11) NOT NULL DEFAULT -1,
`flag` int(11) NOT NULL DEFAULT 0,
`expiredate` bigint(20) NOT NULL DEFAULT -1,
`type` tinyint(1) NOT NULL DEFAULT 0,
`sender` varchar(13) NOT NULL DEFAULT ''
) ENGINE=InnoDB DEFAULT CHARSET=latin1 ROW_FORMAT=DYNAMIC;
--
-- inventoryitems data.
--
INSERT IGNORE INTO `inventoryitems` (`inventoryitemid`, `characterid`, `accountid`, `packageid`, `itemid`, `inventorytype`, `position`, `quantity`, `owner`, `GM_Log`, `uniqueid`, `flag`, `expiredate`, `type`, `sender`) VALUES
(237, 14, NULL, NULL, 1040149, -1, -5, 1, '', '', -1, 0, -1, 0, ''),
(238, 14, NULL, NULL, 1060002, -1, -6, 1, '', '', -1, 0, -1, 0, ''),
(239, 14, NULL, NULL, 1072038, -1, -7, 1, '', '', -1, 0, -1, 0, ''),
(240, 14, NULL, NULL, 1322092, -1, -11, 1, '', '', -1, 0, -1, 0, ''),
(245, 12, NULL, NULL, 1442014, 1, 1, 1, '', '', -1, 0, -1, 0, ''),
(246, 12, NULL, NULL, 1442004, 1, 2, 1, '', '', -1, 0, -1, 0, ''),
(247, 12, NULL, NULL, 1442006, 1, 3, 1, '', '', -1, 0, -1, 0, ''),
(248, 12, NULL, NULL, 1050064, 1, 4, 1, '', '', -1, 0, -1, 0, ''),
(249, 12, NULL, NULL, 1050001, 1, 5, 1, '', '', -1, 0, -1, 0, ''),
(250, 12, NULL, NULL, 1322004, 1, 6, 1, '', '', -1, 0, -1, 0, ''),
(251, 12, NULL, NULL, 1052148, 1, 7, 1, '', '', -1, 0, -1, 0, ''),
(252, 12, NULL, NULL, 1312002, 1, 8, 1, '', '', -1, 0, -1, 0, ''),
(253, 12, NULL, NULL, 1322010, 1, 9, 1, '', '', -1, 0, -1, 0, ''),
(254, 12, NULL, NULL, 1442023, 1, 10, 1, '', '', -1, 0, -1, 0, ''),
(255, 12, NULL, NULL, 1052149, 1, 11, 1, '', '', -1, 0, -1, 0, ''),
(256, 12, NULL, NULL, 1442004, 1, 12, 1, '', '', -1, 0, -1, 0, ''),
(257, 12, NULL, NULL, 1052095, 1, 13, 1, '', '', -1, 0, -1, 0, ''),
(258, 12, NULL, NULL, 4000001, 4, 1, 20, '', '', -1, 0, -1, 0, ''),
(259, 12, NULL, NULL, 4000001, 4, 3, 120, '', '', -1, 0, -1, 0, ''),
(260, 12, NULL, NULL, 1040010, -1, -5, 1, '', '', -1, 0, -1, 0, ''),
(261, 12, NULL, NULL, 1060140, -1, -6, 1, '', '', -1, 0, -1, 0, ''),
(262, 12, NULL, NULL, 1072001, -1, -7, 1, '', '', -1, 0, -1, 0, ''),
(263, 12, NULL, NULL, 1302000, -1, -11, 1, '', '', -1, 0, -1, 0, ''),
(264, 12, NULL, NULL, 1002357, -1, -1, 1, '', '', -1, 8, -1, 0, ''),
(265, 13, NULL, NULL, 1302156, 1, 1, 1, '', '', -1, 0, -1, 0, ''),
(266, 13, NULL, NULL, 1040002, -1, -5, 1, '', '', -1, 0, -1, 0, ''),
(267, 13, NULL, NULL, 1060140, -1, -6, 1, '', '', -1, 0, -1, 0, ''),
(268, 13, NULL, NULL, 1072498, -1, -7, 1, '', '', -1, 0, -1, 0, ''),
(322, 15, NULL, NULL, 1040010, 1, 1, 1, '', '', -1, 0, -1, 0, ''),
(323, 15, NULL, NULL, 1302155, 1, 2, 1, '', '', -1, 0, -1, 0, ''),
(324, 15, NULL, NULL, 1060006, 1, 3, 1, '', '', -1, 0, -1, 0, ''),
(325, 15, NULL, NULL, 1072499, 1, 4, 1, '', '', -1, 0, -1, 0, ''),
(326, 15, NULL, NULL, 2000013, 2, 2, 199, '', '', -1, 0, -1, 0, ''),
(2795, 18, NULL, NULL, 1802365, 1, 1, 1, '', '', 2, 0, 1631336286805, 0, ''),
(2796, 18, NULL, NULL, 1003203, 1, 2, 1, '', '', 11, 0, 1631349717182, 0, ''),
(2797, 18, NULL, NULL, 1072509, 1, 3, 1, '', '', 12, 0, 1631349717183, 0, ''),
(2798, 18, NULL, NULL, 1052338, 1, 4, 1, '', '', 13, 0, 1631349717183, 0, ''),
(2799, 18, NULL, NULL, 1003144, 1, 5, 1, '', '', 14, 0, 1631349735884, 0, ''),
(2800, 18, NULL, NULL, 1052292, 1, 6, 1, '', '', 15, 0, 1631349735884, 0, ''),
(2801, 18, NULL, NULL, 1072465, 1, 7, 1, '', '', 16, 0, 1631349735884, 0, ''),
(2802, 18, NULL, NULL, 1041012, 1, 8, 1, '', '', -1, 0, -1, 0, ''),
(2803, 18, NULL, NULL, 1040013, 1, 9, 1, '', '', -1, 0, -1, 0, ''),
(2804, 18, NULL, NULL, 1040017, 1, 10, 1, '', '', -1, 0, -1, 0, ''),
(2805, 18, NULL, NULL, 1060004, 1, 11, 1, '', '', -1, 0, -1, 0, ''),
(2806, 18, NULL, NULL, 1060013, 1, 12, 1, '', '', -1, 0, -1, 0, ''),
(2807, 18, NULL, NULL, 1041012, 1, 13, 1, '', '', -1, 0, -1, 0, ''),
(2808, 18, NULL, NULL, 1040013, 1, 14, 1, '', '', -1, 0, -1, 0, ''),
(2809, 18, NULL, NULL, 1040017, 1, 15, 1, '', '', -1, 0, -1, 0, ''),
(2810, 18, NULL, NULL, 1060013, 1, 16, 1, '', '', -1, 0, -1, 0, ''),
(2811, 18, NULL, NULL, 1041012, 1, 17, 1, '', '', -1, 0, -1, 0, ''),
(2812, 18, NULL, NULL, 1060004, 1, 18, 1, '', '', -1, 0, -1, 0, ''),
(2813, 18, NULL, NULL, 1060004, 1, 19, 1, '', '', -1, 0, -1, 0, ''),
(2814, 18, NULL, NULL, 1060013, 1, 20, 1, '', '', -1, 0, -1, 0, ''),
(2815, 18, NULL, NULL, 1040013, 1, 21, 1, '', '', -1, 0, -1, 0, ''),
(2816, 18, NULL, NULL, 1041012, 1, 22, 1, '', '', -1, 0, -1, 0, ''),
(2817, 18, NULL, NULL, 1040017, 1, 23, 1, '', '', -1, 0, -1, 0, ''),
(2818, 18, NULL, NULL, 1041012, 1, 25, 1, '', '', -1, 0, -1, 0, ''),
(2819, 18, NULL, NULL, 1060013, 1, 26, 1, '', '', -1, 0, -1, 0, ''),
(2820, 18, NULL, NULL, 1040017, 1, 27, 1, '', '', -1, 0, -1, 0, ''),
(2821, 18, NULL, NULL, 1002043, 1, 29, 1, '', '', -1, 0, -1, 0, ''),
(2822, 18, NULL, NULL, 1432000, 1, 30, 1, '', '', -1, 0, -1, 0, ''),
(2823, 18, NULL, NULL, 1082012, 1, 31, 1, '', '', -1, 0, -1, 0, ''),
(2824, 18, NULL, NULL, 1002014, 1, 32, 1, '', '', -1, 0, -1, 0, ''),
(2825, 18, NULL, NULL, 1142184, 1, 24, 1, '', '', -1, 0, -1, 0, ''),
(2826, 18, NULL, NULL, 1322005, 1, 28, 1, '', '', -1, 0, -1, 0, ''),
(2827, 18, NULL, NULL, 1003233, 1, 33, 1, '', '', 22, 0, 1631394362258, 0, ''),
(2828, 18, NULL, NULL, 2010000, 2, 1, 3, '', 'Received from interaction 2000 (1021) on 2021-06-12', -1, 0, -1, 0, ''),
(2829, 18, NULL, NULL, 2010009, 2, 2, 7, '', 'Received from interaction 2000 (1021) on 2021-06-12', -1, 0, -1, 0, ''),
(2830, 18, NULL, NULL, 2022253, 2, 3, 2, '', '0 on 2021-06-12', -1, 0, -1, 0, ''),
(2831, 18, NULL, NULL, 2061000, 2, 4, 5, '', 'Dropped from monster 100001 on 1010000', -1, 0, -1, 0, ''),
(2832, 18, NULL, NULL, 2060000, 2, 5, 4, '', 'Dropped from monster 100001 on 1010000', -1, 0, -1, 0, ''),
(2833, 18, NULL, NULL, 2000000, 2, 6, 6, '', 'Dropped from monster 100001 on 1010000', -1, 0, -1, 0, ''),
(2834, 18, NULL, NULL, 4031802, 4, 1, 1, '', 'Dropped from monster 9300018 on 40000', -1, 0, -1, 0, ''),
(2835, 18, NULL, NULL, 4020001, 4, 2, 5, '', 'Dropped from monster 100001 on 1010000', -1, 0, -1, 0, ''),
(2836, 18, NULL, NULL, 4000000, 4, 3, 3, '', 'Dropped from monster 100001 on 1010000', -1, 0, -1, 0, ''),
(2837, 18, NULL, NULL, 4000001, 4, 4, 1, '', 'Dropped from monster 100004 on 1010000', -1, 0, -1, 0, ''),
(2838, 18, NULL, NULL, 4020007, 4, 5, 1, '', 'Dropped from monster 100004 on 1010000', -1, 0, -1, 0, ''),
(2839, 18, NULL, NULL, 5530162, 5, 1, 1, '', 'Cash Shop: 10002974 on 2021-06-13', 4, 0, 1626156262217, 0, ''),
(2840, 18, NULL, NULL, 5000083, 5, 2, 1, '', 'Cash Shop: 60000123 on 2021-06-13', 6, 0, 1631348715543, 0, ''),
(2841, 18, NULL, NULL, 5000083, 5, 3, 1, '', 'Cash Shop: 60000123 on 2021-06-13', 8, 0, 1631348953591, 0, ''),
(2842, 18, NULL, NULL, 5000042, 5, 4, 1, '', 'Cash Shop: 60000078 on 2021-06-13', 10, 0, 1631349640447, 0, ''),
(2843, 18, NULL, NULL, 5000007, 5, 5, 1, '', 'Cash Shop: 60000010 on 2021-06-13', 20, 0, 1631392618625, 0, ''),
(2844, 18, NULL, NULL, 1040149, -1, -5, 1, '', '', -1, 0, -1, 0, ''),
(2845, 18, NULL, NULL, 1060144, -1, -6, 1, '', '', -1, 0, -1, 0, ''),
(2846, 18, NULL, NULL, 1072005, -1, -7, 1, '', '', -1, 0, -1, 0, ''),
(2847, 18, NULL, NULL, 1812001, -1, -122, 1, '', '', 18, 0, 1631349777433, 0, ''),
(2848, 18, NULL, NULL, 1812000, -1, -123, 1, '', '', 17, 0, 1631349770195, 0, ''),
(2849, 18, NULL, NULL, 1002419, -1, -1, 1, '', '', -1, 0, -1, 0, ''),
(2850, 18, NULL, NULL, 1372005, -1, -11, 1, '', '', -1, 0, -1, 0, '');
ALTER TABLE `inventoryitems`
ADD PRIMARY KEY (`inventoryitemid`),
ADD KEY `inventorytype` (`inventorytype`),
ADD KEY `accountid` (`accountid`),
ADD KEY `packageid` (`packageid`),
ADD KEY `characterid_2` (`characterid`,`inventorytype`);
|
<reponame>GoogleCloudPlatform/cortex-reporting<gh_stars>1-10
#-- Copyright 2022 Google LLC
#--
#-- Licensed under the Apache License, Version 2.0 (the "License");
#-- you may not use this file except in compliance with the License.
#-- You may obtain a copy of the License at
#--
#-- https://www.apache.org/licenses/LICENSE-2.0
#--
#-- Unless required by applicable law or agreed to in writing, software
#-- distributed under the License is distributed on an "AS IS" BASIS,
#-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#-- See the License for the specific language governing permissions and
#-- limitations under the License.
CREATE OR REPLACE VIEW `{{ project_id_tgt }}.{{ dataset_reporting_tgt }}.Stock_Unrestricted_vs_Sales`
OPTIONS(
description = "Non-valuated unrestricted stock levels versus sales orders and deliveries"
)
AS
WITH stock AS (
SELECT
Client_MANDT,
MaterialNumber_MATNR,
MaterialText_MAKTX,
Plant_WERKS,
Plant_Name,
BaseUnitOfMeasure_MEINS,
ProductHierarchy_PRDHA,
Plant_Region,
Plant_Country,
StorageLocation_LGORT,
Language_SPRAS,
SUM(ValuatedUnrestrictedUseStock) AS UnrestrictedStock
FROM `{{ project_id_tgt }}.{{ dataset_reporting_tgt }}.Stock_NonValuated`
GROUP BY Client_MANDT, MaterialNumber_MATNR, MaterialText_MAKTX,
Plant_WERKS, Plant_Name, BaseUnitOfMeasure_MEINS, ProductHierarchy_PRDHA,
Plant_Region, Plant_Country, StorageLocation_LGORT, Language_SPRAS
),
sales AS (
SELECT Client_MANDT,
MaterialNumber_MATNR,
SalesUnit_VRKME,
DeliveredUoM_MEINS,
Plant_WERKS,
StorageLocation_LGORT, Language_SPRAS,
SUM(SalesQty) AS SalesQty,
SUM(DeliveredQty) AS DeliveredQty,
SUM(PendingDelivery) AS PendingDelivery
FROM `{{ project_id_tgt }}.{{ dataset_reporting_tgt }}.SalesFulfillment_perOrder`
GROUP BY Client_MANDT, MaterialNumber_MATNR, SalesUnit_VRKME, DeliveredUoM_MEINS,
Plant_WERKS, StorageLocation_LGORT, Language_SPRAS
)
SELECT stock.*,
sales.SalesQty,
sales.DeliveredQty,
sales.DeliveredUoM_MEINS,
sales.PendingDelivery
FROM sales
LEFT OUTER JOIN stock
ON stock.Client_MANDT = sales.Client_MANDT
AND stock.MaterialNumber_MATNR = sales.MaterialNumber_MATNR
AND stock.Plant_WERKS = sales.Plant_WERKS
AND stock.StorageLocation_LGORT = sales.StorageLocation_LGORT
AND stock.Language_SPRAS = sales.Language_SPRAS
AND stock.BaseUnitOfMeasure_MEINS = sales.DeliveredUoM_MEINS
WHERE stock.Language_SPRAS = 'E'
|
ALTER TABLE `am_deploy_app` CHANGE COLUMN `deploy_status` `deploy_status` VARCHAR(32) DEFAULT NULL COMMENT '状态' AFTER `gmt_end`; |
<gh_stars>0
-- phpMyAdmin SQL Dump
-- version 5.0.4
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Jan 23, 2021 at 02:16 AM
-- Server version: 10.4.17-MariaDB
-- PHP Version: 7.4.13
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: `db_phpmvc`
--
-- --------------------------------------------------------
--
-- Table structure for table `mahasiswa`
--
CREATE TABLE `mahasiswa` (
`id` int(11) NOT NULL,
`nama` varchar(100) NOT NULL,
`npm` varchar(100) NOT NULL,
`email` varchar(100) NOT NULL,
`jurusan` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `mahasiswa`
--
INSERT INTO `mahasiswa` (`id`, `nama`, `npm`, `email`, `jurusan`) VALUES
(1, '<NAME>', '5520118109', '<EMAIL>', 'Teknik Informatika'),
(2, '<NAME>', '5520118110', '<EMAIL>', 'Teknik Mesin'),
(3, '<NAME>', '55520118105', '<EMAIL>', 'Teknik Sipil'),
(4, '<NAME>', '5520118108', '<EMAIL>', 'Teknik Pangan');
-- --------------------------------------------------------
--
-- Table structure for table `peoples`
--
CREATE TABLE `peoples` (
`id` int(9) UNSIGNED NOT NULL,
`name` varchar(100) NOT NULL,
`address` varchar(255) NOT NULL,
`email` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Dumping data for table `peoples`
--
INSERT INTO `peoples` (`id`, `name`, `address`, `email`) VALUES
(1, '<NAME>', '448 Schowalter Highway Suite 296', '<EMAIL>'),
(2, '<NAME>', '3137 Otto Port Apt. 352', '<EMAIL>'),
(3, '<NAME>', '671 Haley Road Apt. 238', '<EMAIL>'),
(4, '<NAME>', '324 Ullrich Prairie Apt. 500', '<EMAIL>'),
(5, '<NAME>', '0796 Aurelie Shoal Suite 911', '<EMAIL>'),
(6, '<NAME>', '061 Murphy Point', '<EMAIL>'),
(7, '<NAME>', '9686 Ashly Lock Suite 921', '<EMAIL>'),
(8, '<NAME>', '8681 Emil Estates', '<EMAIL>'),
(9, 'Prof. <NAME>', '9805 Runolfsdottir Junctions Apt. 913', '<EMAIL>'),
(10, '<NAME>', '379 Ullrich Dam', '<EMAIL>'),
(11, '<NAME>', '715 Casandra Mountains', '<EMAIL>'),
(12, '<NAME>', '63917 Jessica Isle Apt. 587', '<EMAIL>'),
(13, '<NAME>', '6928 <NAME>', '<EMAIL>'),
(14, '<NAME>', '46675 Julia Roads', '<EMAIL>'),
(15, '<NAME>', '307 Nik<NAME>', '<EMAIL>'),
(16, '<NAME>', '80949 <NAME>', '<EMAIL>'),
(17, 'Mr. <NAME> DVM', '1733 Thompson Flats Suite 164', '<EMAIL>'),
(18, '<NAME>', '8567 Afton Loaf Apt. 082', '<EMAIL>'),
(19, 'Mrs. <NAME>', '70946 Wiza Pines', '<EMAIL>'),
(20, '<NAME>', '09072 Hermann Causeway', '<EMAIL>'),
(21, 'Prof. <NAME>', '5555 Hahn Way Apt. 781', '<EMAIL>'),
(22, 'Miss <NAME>', '582 O\'Conner Track', '<EMAIL>'),
(23, '<NAME>', '91386 Domingo Locks Suite 432', '<EMAIL>'),
(24, '<NAME>', '1127 Pagac Station Apt. 050', '<EMAIL>'),
(25, '<NAME>', '2670 Friesen Drive Apt. 043', '<EMAIL>'),
(26, '<NAME>', '080 <NAME>', '<EMAIL>'),
(27, '<NAME>', '891 Emily Ports Apt. 864', '<EMAIL>'),
(28, 'Dr. <NAME> Jr.', '25050 Wunsch Inlet', '<EMAIL>'),
(29, '<NAME>', '866 Doyle Plaza Apt. 053', '<EMAIL>'),
(30, '<NAME>', '731 Maritza Views', '<EMAIL>'),
(31, '<NAME> DDS', '64652 Carter Parkway', '<EMAIL>'),
(32, '<NAME>', '250 Adella Vista Suite 906', '<EMAIL>'),
(33, '<NAME>', '9963 Romaguera Extensions Suite 855', '<EMAIL>'),
(34, '<NAME>', '0555 Lucious Fords Suite 809', '<EMAIL>'),
(35, '<NAME> DVM', '3542 Hilpert Viaduct Apt. 727', '<EMAIL>'),
(36, '<NAME>', '1610 <NAME>', '<EMAIL>'),
(37, '<NAME>', '074 Reichel Causeway', '<EMAIL>'),
(38, '<NAME>', '99103 Raleigh Center', '<EMAIL>'),
(39, '<NAME>', '35157 Ankunding Inlet Suite 617', '<EMAIL>'),
(40, '<NAME> PhD', '2778 O\'Keefe Vista', '<EMAIL>'),
(41, '<NAME>', '3768 Michale Course Apt. 459', '<EMAIL>'),
(42, '<NAME>', '5426 Dax Burg Suite 674', '<EMAIL>'),
(43, '<NAME>', '902 L<NAME>', '<EMAIL>'),
(44, '<NAME> Sr.', '7144 Lang Freeway Apt. 087', '<EMAIL>'),
(45, '<NAME>', '24004 Hayes Dale Suite 303', '<EMAIL>'),
(46, '<NAME>', '941 Jones Estate', '<EMAIL>'),
(47, '<NAME>', '950 Tess Brooks', '<EMAIL>'),
(48, '<NAME>', '47802 Fidel Junctions', '<EMAIL>'),
(49, '<NAME> Sr.', '1489 Lemke Inlet', '<EMAIL>'),
(50, '<NAME>', '516 Kovacek Summit Apt. 075', '<EMAIL>'),
(51, '<NAME>', '630 Crystal Summit Suite 988', '<EMAIL>'),
(52, '<NAME>', '2334 Jaylin Circle Suite 729', '<EMAIL>'),
(53, '<NAME>', '3148 Brock Knolls Apt. 434', '<EMAIL>'),
(54, '<NAME>', '7131 Botsford Bridge', '<EMAIL>'),
(55, '<NAME>', '962 Abernathy Drive', '<EMAIL>'),
(56, 'Dr. <NAME>', '351 Heller Avenue Suite 727', '<EMAIL>'),
(57, '<NAME>', '2582 Schmidt Parkways Suite 121', '<EMAIL>'),
(58, '<NAME>', '18399 Jamison Fields', '<EMAIL>'),
(59, 'Mr. <NAME>', '785 O\'Connell Flats Apt. 639', '<EMAIL>'),
(60, '<NAME>', '278 <NAME>', '<EMAIL>'),
(61, 'Dr. <NAME>', '76467 Lauriane Lock Suite 679', '<EMAIL>'),
(62, '<NAME>', '095 Rosetta Trail Apt. 161', '<EMAIL>'),
(63, 'Prof. <NAME>', '545 Renner Estate Suite 115', '<EMAIL>'),
(64, '<NAME>', '35119 Les<NAME>', '<EMAIL>'),
(65, '<NAME>', '18233 Arjun Points', '<EMAIL>'),
(66, 'Dr. <NAME>', '23891 Brakus Forge', '<EMAIL>'),
(67, '<NAME>', '898 Larson Drives Suite 983', '<EMAIL>'),
(68, '<NAME>', '886 Georgianna Shore Suite 561', '<EMAIL>'),
(69, '<NAME>', '8583 Neva Hills Suite 919', '<EMAIL>'),
(70, 'Dr. <NAME>', '83507 Sipes Camp', '<EMAIL>'),
(71, '<NAME>', '507 Clara Parkways', '<EMAIL>'),
(72, '<NAME>', '2426 Jerod Junction', '<EMAIL>'),
(73, 'Dr. <NAME>', '88139 Thompson Islands', '<EMAIL>'),
(74, 'Prof. <NAME> Jr.', '9380 Gutmann Road Apt. 511', '<EMAIL>'),
(75, 'Mr. <NAME>', '1633 Koepp Spring', '<EMAIL>'),
(76, '<NAME>', '747 Marie Inlet', '<EMAIL>'),
(77, 'Dr. <NAME>', '9981 Veda Crest Apt. 129', '<EMAIL>'),
(78, 'Dr. <NAME>', '9919 Welch Trail', '<EMAIL>'),
(79, '<NAME>', '6474 Aniyah Forest', '<EMAIL>'),
(80, '<NAME>', '3814 <NAME>', '<EMAIL>'),
(81, '<NAME>', '4744 Blanda Parkways', '<EMAIL>'),
(82, '<NAME>', '3879 Maximo Forges', '<EMAIL>'),
(83, '<NAME>', '012 Jerde Junctions Suite 239', '<EMAIL>'),
(84, 'Mr. <NAME> Jr.', '436 Stiedemann Coves', '<EMAIL>'),
(85, '<NAME>', '466 Angie Street Suite 735', '<EMAIL>'),
(86, '<NAME>', '4366 Mathias Forges', '<EMAIL>'),
(87, '<NAME>', '271 Gleason Expressway Suite 811', '<EMAIL>'),
(88, '<NAME>', '653 Blanca Road', '<EMAIL>'),
(89, '<NAME>', '4077 Francisco Junctions', '<EMAIL>'),
(90, '<NAME>', '3745 Russell Trace', '<EMAIL>'),
(91, '<NAME>', '38537 Heaney Crest Apt. 835', '<EMAIL>'),
(92, '<NAME>', '754 Wisozk Hill Suite 249', '<EMAIL>'),
(93, '<NAME>', '71106 Greenfelder Highway Apt. 216', '<EMAIL>'),
(94, 'Mrs. <NAME> MD', '4891 Angela Burg Suite 284', '<EMAIL>'),
(95, '<NAME> Sr.', '29139 Morissette Crest', '<EMAIL>'),
(96, '<NAME>', '22621 Crona Garden', '<EMAIL>'),
(97, '<NAME>', '72183 Will Squares', '<EMAIL>'),
(98, '<NAME>', '4477 <NAME>', '<EMAIL>'),
(99, '<NAME>', '230 S<NAME>', '<EMAIL>'),
(100, '<NAME>', '86579 Cleo Summit', '<EMAIL>'),
(101, '<NAME>', '328 O\'Hara Crossing', '<EMAIL>'),
(102, '<NAME>', '952 Berta Turnpike', '<EMAIL>'),
(103, 'Ms. <NAME>', '763 Haley Mission', '<EMAIL>'),
(104, 'Ms. <NAME>', '26621 Corkery Trail Apt. 423', '<EMAIL>'),
(105, '<NAME>', '283 Ad<NAME>', '<EMAIL>'),
(106, '<NAME>', '2241 Ena Lake', '<EMAIL>'),
(107, 'Prof. <NAME>', '64814 Windler Key', '<EMAIL>'),
(108, 'Prof. <NAME> MD', '3510 Rylee Prairie Suite 063', '<EMAIL>'),
(109, '<NAME>', '9650 Grant Lake', '<EMAIL>'),
(110, '<NAME>', '96474 Drake Extension Apt. 233', '<EMAIL>'),
(111, '<NAME>', '546 Haskell Ridges', '<EMAIL>'),
(112, 'Prof. <NAME>', '138 Hassan Haven Suite 716', '<EMAIL>'),
(113, '<NAME>', '794 Ward Cove Suite 769', '<EMAIL>'),
(114, '<NAME>', '328 Tremblay Walk', '<EMAIL>'),
(115, 'Dr. <NAME>', '61856 Edwardo Stravenue', '<EMAIL>'),
(116, '<NAME>', '762 Greenfelder Island Apt. 248', '<EMAIL>'),
(117, '<NAME>', '7677 Lockman Place', '<EMAIL>'),
(118, '<NAME>', '73770 Euna Well Apt. 656', '<EMAIL>'),
(119, 'Prof. <NAME>', '16050 Dibbert Brook Suite 287', '<EMAIL>'),
(120, '<NAME>', '08525 Hudson Points Apt. 535', '<EMAIL>'),
(121, '<NAME>', '820 Mills Points Apt. 402', '<EMAIL>'),
(122, 'Mr. <NAME>', '35607 Lawson Lakes Apt. 074', '<EMAIL>'),
(123, 'Korey Block DDS', '834 Lazaro Orchard Suite 490', '<EMAIL>'),
(124, '<NAME>', '166 Sidney Lodge Suite 213', '<EMAIL>'),
(125, '<NAME>', '6735 Jazlyn Port Suite 498', '<EMAIL>'),
(126, '<NAME>', '04737 Murray Bypass Apt. 904', '<EMAIL>'),
(127, 'Mrs. <NAME>', '9844 Hector Flats', '<EMAIL>'),
(128, '<NAME>', '1502 Jevon Wells Suite 559', '<EMAIL>'),
(129, '<NAME>', '860 Kuvalis Ridges Apt. 460', '<EMAIL>'),
(130, '<NAME>', '7143 Williamson Plaza', '<EMAIL>'),
(131, '<NAME>', '13104 Ramiro Via Suite 086', '<EMAIL>'),
(132, 'Mr. <NAME>', '3210 Doyle Oval Apt. 028', '<EMAIL>'),
(133, 'Dr. <NAME>', '3126 Kurt Spurs Suite 292', '<EMAIL>'),
(134, 'Mrs. <NAME>', '430 Yundt Estates Suite 555', '<EMAIL>'),
(135, '<NAME>', '451 Daisy Crest', '<EMAIL>'),
(136, 'Mr. <NAME>', '13255 Johnnie Terrace Apt. 056', '<EMAIL>'),
(137, 'Mr. <NAME>', '031 Eleanora Wells Suite 504', '<EMAIL>'),
(138, '<NAME>', '664 Norberto Lock Apt. 545', '<EMAIL>'),
(139, 'Mr. <NAME>', '79761 Stamm Turnpike Suite 093', '<EMAIL>'),
(140, '<NAME>', '621 Kuphal Haven Suite 590', '<EMAIL>'),
(141, 'Mr. <NAME> Jr.', '8919 Feil Knolls Suite 239', '<EMAIL>'),
(142, '<NAME> DDS', '919 Goodwin Shore Apt. 223', '<EMAIL>'),
(143, '<NAME>', '8488 Schinner Camp', '<EMAIL>'),
(144, '<NAME>', '63372 Zulauf Green Apt. 420', '<EMAIL>'),
(145, 'Dr. <NAME>', '6932 Schultz Well', '<EMAIL>'),
(146, '<NAME>', '8332 Kirstin Fall Suite 835', '<EMAIL>'),
(147, '<NAME>', '97557 Arielle Manors Suite 218', '<EMAIL>'),
(148, 'Mrs. <NAME>', '9159 Brenda Corners Suite 455', '<EMAIL>'),
(149, '<NAME>.', '865 Travis Ferry Suite 247', '<EMAIL>'),
(150, '<NAME>', '944 Vandervort Point', '<EMAIL>'),
(151, 'Dr. <NAME>', '360 Runolfsdottir Valleys Apt. 079', '<EMAIL>'),
(152, 'Prof. <NAME> DDS', '6093 Chloe Islands Apt. 857', '<EMAIL>'),
(153, '<NAME>', '86264 Runolfsdottir Loop', '<EMAIL>'),
(154, '<NAME>', '7976 Halie Station', '<EMAIL>'),
(155, '<NAME>', '884 Goyette Locks Suite 030', '<EMAIL>'),
(156, 'Ms. <NAME>', '39246 Walker Locks', '<EMAIL>'),
(157, '<NAME> Sr.', '801 Kali Mission', '<EMAIL>'),
(158, '<NAME>', '664 Macejkovic Skyway Suite 163', '<EMAIL>'),
(159, '<NAME>', '239 Mayer Trail Apt. 272', '<EMAIL>'),
(160, '<NAME>', '229 Lowell Grove Suite 261', '<EMAIL>'),
(161, '<NAME>', '0177 Medhurst Fall', '<EMAIL>'),
(162, '<NAME>', '3206 Prosacco Port', '<EMAIL>'),
(163, 'Dr. <NAME>', '0222 Renner Trafficway Suite 351', '<EMAIL>'),
(164, '<NAME>', '705 Simone Squares', '<EMAIL>'),
(165, '<NAME>', '5654 Adella Junction Apt. 411', '<EMAIL>'),
(166, '<NAME>', '2382 Hansen Hill Apt. 070', '<EMAIL>'),
(167, '<NAME>', '9682 Murazik Crest Suite 503', '<EMAIL>'),
(168, '<NAME> PhD', '1490 Daugherty Station', '<EMAIL>'),
(169, 'Mrs. <NAME> DDS', '5558 Mireya Place', '<EMAIL>'),
(170, '<NAME> PhD', '764 Willy Drive', '<EMAIL>'),
(171, '<NAME> PhD', '83220 Keeling Pines', '<EMAIL>'),
(172, '<NAME>', '851 Jacobson Common Suite 016', '<EMAIL>'),
(173, '<NAME>', '16444 Braun Parks', '<EMAIL>'),
(174, 'Mrs. <NAME>', '1081 Terrill Crest Suite 044', '<EMAIL>'),
(175, 'Prof. <NAME>', '84126 Orn Via Suite 773', '<EMAIL>'),
(176, 'Dr. <NAME>', '1004 <NAME>', '<EMAIL>'),
(177, '<NAME>', '7748 Veum Knolls', '<EMAIL>'),
(178, '<NAME>', '25074 Mozell Mount Suite 968', '<EMAIL>'),
(179, '<NAME> DVM', '25522 Greg Crescent Apt. 221', '<EMAIL>'),
(180, '<NAME>', '5698 Buckridge Forge Apt. 559', '<EMAIL>'),
(181, '<NAME> DDS', '502 Hahn Street Suite 374', '<EMAIL>'),
(182, '<NAME>', '9768 Altenwerth Villages', '<EMAIL>'),
(183, 'Mr. <NAME>', '280 Graham Square Apt. 839', '<EMAIL>'),
(184, '<NAME>', '05065 Justus Key Apt. 916', '<EMAIL>'),
(185, '<NAME>', '1552 Joy Circles Suite 504', '<EMAIL>'),
(186, '<NAME>', '16562 Satterfield Passage Apt. 788', '<EMAIL>'),
(187, '<NAME>', '37924 Towne Island Suite 408', '<EMAIL>'),
(188, '<NAME>', '708 Hamill Mountains Apt. 965', '<EMAIL>'),
(189, '<NAME>', '9955 Collier Lights Suite 951', '<EMAIL>'),
(190, 'Mrs. <NAME>', '8920 Jessy Grove Suite 128', '<EMAIL>'),
(191, 'Prof. <NAME>', '798 Velva Radial', '<EMAIL>'),
(192, 'Prof. <NAME> Sr.', '54478 Delta Drive Suite 293', '<EMAIL>'),
(193, '<NAME>', '94721 Schneider Stream Suite 143', '<EMAIL>'),
(194, '<NAME>', '74595 Ashleigh Camp Suite 598', '<EMAIL>'),
(195, '<NAME>', '8189 Heathcote Plain Apt. 634', '<EMAIL>'),
(196, '<NAME>', '288 Gaylord Track Apt. 633', '<EMAIL>'),
(197, '<NAME>', '4440 Shany Shoals Suite 807', '<EMAIL>'),
(198, '<NAME>', '731 Pansy Mills Apt. 707', '<EMAIL>'),
(199, '<NAME>', '271 <NAME> Apt. 534', '<EMAIL>'),
(200, 'Mrs. <NAME> PhD', '801 Gertrude Keys', '<EMAIL>'),
(201, '<NAME>', '07491 Metz Skyway', '<EMAIL>'),
(202, 'Prof. <NAME>', '255 Freeda Squares Suite 092', '<EMAIL>'),
(203, 'Dr. <NAME>', '0313 Spinka Club', '<EMAIL>'),
(204, 'Dr. <NAME> DDS', '7339 Considine Inlet Suite 072', '<EMAIL>'),
(205, '<NAME>', '178 Terrance Forge Suite 927', '<EMAIL>'),
(206, '<NAME>', '683 Hubert Wall', '<EMAIL>'),
(207, '<NAME> Jr.', '67075 Rossie Point', '<EMAIL>'),
(208, '<NAME>', '463 Gustave Crossroad Suite 363', '<EMAIL>'),
(209, '<NAME>', '37490 Marjory Valley', '<EMAIL>'),
(210, '<NAME>', '7404 Jaunita Lane', '<EMAIL>'),
(211, '<NAME>', '6363 Rosina Parkways', '<EMAIL>'),
(212, 'Dr. <NAME> PhD', '549 Bashirian Rapid', '<EMAIL>'),
(213, '<NAME>', '5840 Kemmer Lodge Apt. 863', '<EMAIL>'),
(214, '<NAME>', '24864 Raymond Vista', '<EMAIL>'),
(215, 'Mrs. <NAME> I', '9120 Schneider Throughway', '<EMAIL>'),
(216, '<NAME> Sr.', '04781 Schimmel Loop Suite 936', '<EMAIL>'),
(217, '<NAME> V', '23062 <NAME>', '<EMAIL>'),
(218, '<NAME>', '3808 Crooks Park', '<EMAIL>'),
(219, '<NAME>', '38617 Wiza Via Apt. 979', '<EMAIL>'),
(220, 'Mr. <NAME> IV', '34724 Thiel Ridge', '<EMAIL>'),
(221, '<NAME> MD', '89528 Bernadette Trace Suite 709', '<EMAIL>'),
(222, '<NAME>', '19261 <NAME>', '<EMAIL>'),
(223, '<NAME>', '65250 Cecilia Corners', '<EMAIL>'),
(224, '<NAME>', '2269 Freda Parkways Apt. 708', '<EMAIL>'),
(225, '<NAME>', '22077 Tremblay Port Apt. 805', '<EMAIL>'),
(226, 'Prof. <NAME>', '569 Reilly Summit Apt. 726', '<EMAIL>'),
(227, '<NAME>', '880 Goyette Plain Apt. 557', '<EMAIL>'),
(228, '<NAME>', '25486 Kuhlman Lock', '<EMAIL>'),
(229, '<NAME>', '075 Wiley Cliffs', '<EMAIL>'),
(230, '<NAME>', '4663 Jayden Stream', '<EMAIL>'),
(231, '<NAME>', '59842 Moriah Key', '<EMAIL>'),
(232, '<NAME>', '35880 Orlando Meadow Apt. 360', '<EMAIL>'),
(233, '<NAME> MD', '503 Kayleigh Prairie Suite 547', '<EMAIL>'),
(234, '<NAME>', '287 Torp Burg Apt. 384', '<EMAIL>'),
(235, 'Mr. <NAME>', '91741 Breitenberg Loaf Apt. 776', '<EMAIL>'),
(236, '<NAME> PhD', '774 Brekke Fields Suite 198', '<EMAIL>'),
(237, '<NAME>', '95682 Erna Ridge Suite 062', '<EMAIL>'),
(238, '<NAME>', '22943 Wunsch Mission Apt. 979', '<EMAIL>'),
(239, '<NAME>', '8065 Amya Flat Suite 387', '<EMAIL>'),
(240, '<NAME>', '019 Rosenbaum Fork Apt. 943', '<EMAIL>'),
(241, '<NAME>', '2127 Sanford Ranch Suite 708', '<EMAIL>'),
(242, '<NAME>', '0325 Nolan Pike', '<EMAIL>'),
(243, 'Prof. <NAME> MD', '97987 Hyatt Trace Suite 190', '<EMAIL>'),
(244, 'Prof. <NAME>', '6510 Fay Falls', '<EMAIL>'),
(245, '<NAME>', '080 Sally Hollow Suite 997', '<EMAIL>'),
(246, '<NAME> PhD', '2480 Marquardt Divide', '<EMAIL>'),
(247, 'Prof. <NAME>', '45209 Bruen Curve', '<EMAIL>'),
(248, '<NAME>', '55594 Haven Walk Suite 977', '<EMAIL>'),
(249, '<NAME>', '60792 Rolfson Neck Apt. 063', '<EMAIL>'),
(250, '<NAME>', '5358 Sadye Ville', '<EMAIL>'),
(251, '<NAME>', '883 Nils Islands', '<EMAIL>'),
(252, '<NAME>.', '7414 Feil Bridge', '<EMAIL>'),
(253, '<NAME>', '05213 Laila Camp Suite 184', '<EMAIL>'),
(254, '<NAME>', '14459 Vandervort Trace', '<EMAIL>'),
(255, '<NAME> V', '6926 Ankunding Extension Suite 515', '<EMAIL>'),
(256, 'Dr. <NAME> Jr.', '29371 Marguerite Fords Suite 877', '<EMAIL>'),
(257, 'Prof. <NAME> DVM', '235 Zulauf Vista Apt. 380', '<EMAIL>'),
(258, 'Mr. <NAME> Sr.', '1804 Melisa Springs Apt. 697', '<EMAIL>'),
(259, '<NAME>', '77980 Tremblay Center', '<EMAIL>'),
(260, 'Prof. <NAME>', '5994 Amina Trace', '<EMAIL>'),
(261, '<NAME> V', '919 Vilma Run', '<EMAIL>'),
(262, '<NAME>', '56526 Bethel Harbors Suite 577', '<EMAIL>'),
(263, '<NAME>', '3559 Gerlach Groves', '<EMAIL>'),
(264, 'Dr. <NAME>', '15974 Leda Coves Apt. 262', '<EMAIL>'),
(265, '<NAME>', '9597 Batz Glens', '<EMAIL>'),
(266, '<NAME>', '38697 Trevor Squares', '<EMAIL>'),
(267, '<NAME>', '5474 Maynard Glens', '<EMAIL>'),
(268, '<NAME>', '4055 Adams Canyon Suite 616', '<EMAIL>'),
(269, 'Mrs. <NAME>', '861 Destinee Springs', '<EMAIL>'),
(270, 'Mrs. <NAME>', '5183 Maegan Terrace Apt. 761', '<EMAIL>'),
(271, 'Mr. <NAME>', '1140 <NAME>', '<EMAIL>'),
(272, '<NAME>', '14309 Hickle Gardens', '<EMAIL>'),
(273, '<NAME>', '5154 Maxime Mountain', '<EMAIL>'),
(274, '<NAME>', '26938 Treutel View', '<EMAIL>'),
(275, '<NAME>', '227 <NAME>', '<EMAIL>'),
(276, '<NAME>', '84959 Laverna Locks', '<EMAIL>'),
(277, '<NAME>', '9874 Einar Club Suite 920', '<EMAIL>'),
(278, 'Dr. <NAME> DDS', '635 Kutch Hill Apt. 524', '<EMAIL>'),
(279, 'Ms. <NAME>', '850 Sydnee Burg Apt. 151', '<EMAIL>'),
(280, 'Mr. <NAME>', '50393 Emard Plaza Apt. 246', '<EMAIL>'),
(281, 'Mrs. <NAME> MD', '9492 Hyatt Trace Apt. 647', '<EMAIL>'),
(282, 'Mrs. <NAME>', '66446 Bailey Park Suite 583', '<EMAIL>'),
(283, '<NAME>', '641 Wisozk Lodge', '<EMAIL>'),
(284, 'Dr. <NAME> III', '80304 Josiah Divide Suite 261', '<EMAIL>'),
(285, 'Dr. <NAME>', '10173 Derek Route', '<EMAIL>'),
(286, '<NAME>', '101 Laurie Plains Apt. 998', '<EMAIL>'),
(287, '<NAME>', '1366 Kirlin Way Suite 445', '<EMAIL>'),
(288, 'Prof. <NAME> PhD', '65488 Amya Fork', '<EMAIL>'),
(289, 'Prof. <NAME> III', '8163 Lempi Freeway Suite 513', '<EMAIL>'),
(290, '<NAME> PhD', '65740 Rand<NAME>ke', '<EMAIL>.net'),
(291, '<NAME>', '38336 Quentin Port', '<EMAIL>'),
(292, '<NAME>', '689 Zackary Circles Apt. 648', '<EMAIL>'),
(293, '<NAME>', '317 Schimmel Fields', '<EMAIL>'),
(294, 'Prof. <NAME>', '365 Samson Ramp', '<EMAIL>'),
(295, '<NAME>', '3891 Velma Ports Suite 952', '<EMAIL>'),
(296, 'Prof. <NAME> DVM', '03586 Murazik Unions Apt. 628', '<EMAIL>'),
(297, '<NAME>', '9269 Helena Knolls Suite 790', '<EMAIL>'),
(298, '<NAME>', '68451 Feeney Flats', '<EMAIL>'),
(299, 'Prof. <NAME>', '99024 Ismael Crest', '<EMAIL>'),
(300, '<NAME>', '239 Meda Expressway', '<EMAIL>'),
(301, '<NAME>', '2999 Rohan Isle Apt. 080', '<EMAIL>'),
(302, '<NAME>', '735 Larkin Avenue', '<EMAIL>'),
(303, '<NAME> Sr.', '6748 Mraz Parkways', '<EMAIL>'),
(304, '<NAME>', '125 Skyla Points Suite 025', '<EMAIL>'),
(305, 'Prof. <NAME>', '351 Nyah Crossroad Apt. 783', '<EMAIL>'),
(306, '<NAME>', '079 Tremblay Spur Suite 532', '<EMAIL>'),
(307, '<NAME> PhD', '7672 Veum Hills Suite 527', '<EMAIL>'),
(308, 'Dr. <NAME>', '4210 Florencio Stream Apt. 186', '<EMAIL>'),
(309, 'Mr. <NAME>', '20386 Raymundo Rapid Apt. 967', '<EMAIL>'),
(310, 'Miss <NAME>', '868 Mylene Expressway', '<EMAIL>'),
(311, '<NAME>', '292 Leffler Villages Apt. 073', '<EMAIL>'),
(312, '<NAME>', '717 Letitia Loop Apt. 293', '<EMAIL>'),
(313, 'Prof. <NAME>', '746 Stokes Radial Suite 063', '<EMAIL>'),
(314, 'Dr. <NAME> I', '92225 Herzog Shoals Suite 394', '<EMAIL>'),
(315, '<NAME>', '0154 <NAME>', '<EMAIL>'),
(316, '<NAME>', '979 Braeden Points Apt. 886', '<EMAIL>'),
(317, 'Elm<NAME>', '52864 Fisher Lakes Suite 830', '<EMAIL>'),
(318, '<NAME>', '484 Stephania Skyway Suite 081', '<EMAIL>'),
(319, '<NAME>', '94560 Anabel Parks Apt. 839', '<EMAIL>'),
(320, '<NAME>', '7400 Carol Shoal Apt. 412', '<EMAIL>'),
(321, '<NAME>', '516 Boyle Lake', '<EMAIL>'),
(322, '<NAME>', '117 <NAME>', '<EMAIL>'),
(323, '<NAME>', '95477 Schimmel Land', '<EMAIL>'),
(324, 'Prof. <NAME>', '44257 Schaden Burg Suite 368', '<EMAIL>'),
(325, '<NAME> Sr.', '30435 Daniel Track Apt. 075', '<EMAIL>'),
(326, 'Dr. <NAME>', '66285 Hackett Grove', '<EMAIL>'),
(327, '<NAME> Jr.', '8080 Murray Tunnel', '<EMAIL>'),
(328, 'Dr. <NAME>', '66284 Tyrel Shoals Apt. 175', '<EMAIL>'),
(329, '<NAME>', '5794 Kaylie Views Apt. 425', '<EMAIL>'),
(330, '<NAME>', '70719 <NAME>', '<EMAIL>'),
(331, '<NAME>', '05863 Cole Pass', '<EMAIL>'),
(332, '<NAME> Jr.', '46017 Aniya Shoals', '<EMAIL>'),
(333, 'Mr. <NAME>', '3297 Wisoky Branch', '<EMAIL>'),
(334, '<NAME>', '0979 West Manors', '<EMAIL>'),
(335, '<NAME>', '011 Shields Isle', '<EMAIL>'),
(336, '<NAME> IV', '2891 <NAME>', '<EMAIL>'),
(337, '<NAME>', '81014 Braun Alley', '<EMAIL>'),
(338, '<NAME>', '796 Kulas Causeway Apt. 644', '<EMAIL>'),
(339, '<NAME>', '801 Lynch Flat', '<EMAIL>'),
(340, '<NAME>', '372 Mackenzie Circles Suite 462', '<EMAIL>'),
(341, '<NAME> PhD', '44586 Americo Radial Apt. 589', '<EMAIL>'),
(342, '<NAME>', '61417 Susie Summit', '<EMAIL>'),
(343, 'Ms. <NAME>', '1311 Wol<NAME>', '<EMAIL>'),
(344, 'Dr. <NAME>', '83043 <NAME>', '<EMAIL>'),
(345, '<NAME>', '16621 Dale Village', '<EMAIL>'),
(346, '<NAME>', '45123 Windler Overpass Apt. 317', '<EMAIL>'),
(347, 'Mr. <NAME> Jr.', '45646 Armstrong Path Suite 908', '<EMAIL>'),
(348, '<NAME>', '87587 Konopelski Centers', '<EMAIL>'),
(349, '<NAME>', '69721 Swift Pass', '<EMAIL>'),
(350, '<NAME>', '323 Oren Summit', '<EMAIL>'),
(351, '<NAME>', '49631 Ashlynn Alley Suite 168', '<EMAIL>'),
(352, 'Miss <NAME>', '35521 Heidenreich Mills Apt. 375', '<EMAIL>'),
(353, '<NAME>', '73256 Purdy Via', '<EMAIL>'),
(354, '<NAME>', '607 Ashley Spring Suite 599', '<EMAIL>'),
(355, '<NAME>', '1278 Farrell Vista Apt. 201', '<EMAIL>'),
(356, 'Miss <NAME> Jr.', '6511 Rod<NAME>', '<EMAIL>'),
(357, '<NAME>', '63498 Christy Run', '<EMAIL>'),
(358, '<NAME>', '775 Reymundo Rapids', '<EMAIL>'),
(359, '<NAME>', '038 Renee Rue Apt. 018', '<EMAIL>'),
(360, 'Mr. <NAME>', '01961 Weber Crossing', '<EMAIL>'),
(361, '<NAME>', '1282 Crona Crossroad Apt. 518', '<EMAIL>'),
(362, 'Mr. <NAME>', '950 Eda Unions Suite 330', '<EMAIL>'),
(363, '<NAME> MD', '74287 Gilberto Terrace Suite 495', '<EMAIL>'),
(364, 'Dr. <NAME>', '416 Wiegand Pass', '<EMAIL>'),
(365, 'Dr. <NAME>', '39554 Thiel Lodge Suite 087', '<EMAIL>'),
(366, '<NAME>', '92072 Schmidt Fort', '<EMAIL>'),
(367, 'Mrs. <NAME>', '8258 Ike Pine', '<EMAIL>'),
(368, '<NAME>', '2272 Tyree Summit Apt. 224', '<EMAIL>'),
(369, '<NAME>', '7514 Thompson Unions Suite 507', '<EMAIL>'),
(370, '<NAME>', '3504 Cummerata Centers', '<EMAIL>'),
(371, '<NAME>', '5783 Wisoky Mountains Suite 071', '<EMAIL>'),
(372, '<NAME>', '65458 Karelle Circle', '<EMAIL>'),
(373, '<NAME>', '4643 Romaguera Bridge', '<EMAIL>'),
(374, 'Mrs. <NAME>', '822 McCullough Light', '<EMAIL>'),
(375, '<NAME>', '275 V<NAME>', '<EMAIL>'),
(376, 'Mr. <NAME> DDS', '41411 <NAME>', '<EMAIL>'),
(377, '<NAME>', '275 Purdy Islands', '<EMAIL>'),
(378, '<NAME>', '7603 Stehr Forks Suite 366', '<EMAIL>'),
(379, '<NAME>', '31122 Loren Plaza', '<EMAIL>'),
(380, '<NAME>', '9076 Gaylord Place Suite 239', '<EMAIL>'),
(381, '<NAME>', '9555 Larkin Locks Apt. 084', '<EMAIL>'),
(382, '<NAME>', '28230 Larkin Common', '<EMAIL>'),
(383, '<NAME> PhD', '966 Stehr Islands', '<EMAIL>'),
(384, 'Dr. <NAME>', '43343 Reichel Stravenue Apt. 670', '<EMAIL>'),
(385, '<NAME>', '855 Stamm Viaduct', '<EMAIL>'),
(386, '<NAME>', '2607 Rosendo Via', '<EMAIL>'),
(387, 'Mrs. <NAME>', '30466 Jacobi Mountains Suite 550', '<EMAIL>'),
(388, '<NAME>', '8608 Adeline Points Apt. 335', '<EMAIL>'),
(389, '<NAME>', '4031 Tro<NAME>', '<EMAIL>'),
(390, '<NAME>', '6353 Hayes Canyon Suite 882', '<EMAIL>'),
(391, 'Prof. <NAME>', '62086 Schmidt Extension', '<EMAIL>'),
(392, '<NAME>', '16471 Nils Point Apt. 329', '<EMAIL>'),
(393, '<NAME>', '74766 Donny Mission', '<EMAIL>'),
(394, '<NAME> PhD', '912 Legros Trafficway Suite 885', '<EMAIL>'),
(395, 'Prof. <NAME> DDS', '259 Bailey Ranch Suite 090', '<EMAIL>'),
(396, 'Ms. <NAME>', '9646 Laurine Walk', '<EMAIL>'),
(397, '<NAME>', '200 Hipolito Land Apt. 989', '<EMAIL>'),
(398, '<NAME>', '77105 Dibbert Trail', '<EMAIL>'),
(399, '<NAME>', '77768 Schumm Trace', '<EMAIL>'),
(400, '<NAME>', '87797 Hazel Stream Suite 497', '<EMAIL>'),
(401, '<NAME>', '6644 Janet Manor Suite 711', '<EMAIL>'),
(402, '<NAME>', '58116 Vivienne Squares Apt. 624', '<EMAIL>'),
(403, '<NAME>', '917 Hagenes Mill', '<EMAIL>'),
(404, '<NAME>D', '820 Jerald Parkways', '<EMAIL>'),
(405, '<NAME>', '416 McKenzie Island', '<EMAIL>'),
(406, 'Prof. <NAME>', '26042 Ian Mall', '<EMAIL>'),
(407, 'Mrs. <NAME>', '502 Greenholt Grove Suite 586', '<EMAIL>'),
(408, '<NAME>', '6094 Rosenbaum Mission', '<EMAIL>'),
(409, 'Prof. <NAME>', '931 Sus<NAME>', '<EMAIL>'),
(410, '<NAME>', '1448 Taryn Square', '<EMAIL>'),
(411, '<NAME>', '6352 <NAME>', '<EMAIL>'),
(412, 'Prof. <NAME>', '980 Christiansen Mission Suite 628', '<EMAIL>'),
(413, 'Mr. <NAME>', '5941 <NAME>', '<EMAIL>'),
(414, '<NAME>', '8486 Kerluke Centers Apt. 137', '<EMAIL>'),
(415, '<NAME>', '61661 Alivia Ridge Apt. 530', '<EMAIL>'),
(416, 'Mr. <NAME>', '24235 Alicia Mountains', '<EMAIL>'),
(417, '<NAME>', '80829 Brandyn Causeway', '<EMAIL>'),
(418, '<NAME>', '239 Christiansen Rapids Suite 284', '<EMAIL>'),
(419, '<NAME>', '902 Windler Mount Suite 096', '<EMAIL>'),
(420, '<NAME>', '0871 Norm<NAME>', '<EMAIL>'),
(421, '<NAME>', '250 Joshua Loop', '<EMAIL>'),
(422, 'Prof. <NAME> Jr.', '129 Harris Trafficway Suite 690', '<EMAIL>is<EMAIL>'),
(423, '<NAME>', '1493 Lillie Ranch', '<EMAIL>'),
(424, '<NAME>', '2217 Efren Stream', '<EMAIL>'),
(425, 'Mr. <NAME>', '29216 Sterling Inlet', '<EMAIL>'),
(426, 'Ms. <NAME>', '5730 Daugherty Roads', '<EMAIL>'),
(427, '<NAME>', '441 Skiles Dale', '<EMAIL>'),
(428, '<NAME>', '43374 Robert Hollow Suite 326', '<EMAIL>'),
(429, 'Prof. <NAME> PhD', '0490 Russel Ramp Suite 551', '<EMAIL>'),
(430, '<NAME>', '9877 Jordon Mill Suite 412', '<EMAIL>'),
(431, '<NAME>', '9336 Cruickshank Forge', '<EMAIL>'),
(432, '<NAME>', '45590 Dooley View Suite 959', '<EMAIL>'),
(433, '<NAME> DDS', '2633 Gerhold Parks Suite 061', '<EMAIL>'),
(434, '<NAME>', '740 Kassandra Trace Apt. 885', '<EMAIL>'),
(435, '<NAME>', '8827 Hand Prairie Suite 437', '<EMAIL>'),
(436, '<NAME>oks Jr.', '5894 Christiansen Villages', '<EMAIL>'),
(437, '<NAME>', '103 Runolfsdottir Junction Apt. 666', '<EMAIL>'),
(438, '<NAME>', '34254 Koch Village', '<EMAIL>'),
(439, '<NAME>', '35994 Adelbert Square Apt. 749', '<EMAIL>'),
(440, '<NAME>', '08342 Rosario Branch Apt. 039', '<EMAIL>'),
(441, 'Mr. <NAME>', '1716 Mer<NAME>', '<EMAIL>'),
(442, '<NAME>', '68969 Mosciski Crossing', '<EMAIL>'),
(443, 'Ms. <NAME>', '568 Kelli Overpass Suite 842', '<EMAIL>'),
(444, '<NAME>', '453 Gilberto Crossroad Apt. 364', '<EMAIL>'),
(445, '<NAME>', '8821 Katlynn Mills', '<EMAIL>'),
(446, '<NAME>', '9986 Price Mount Apt. 704', '<EMAIL>'),
(447, 'Mrs. <NAME> PhD', '546 Hammes Squares', '<EMAIL>'),
(448, '<NAME>', '3488 Bayer Mission Apt. 582', '<EMAIL>'),
(449, '<NAME>', '048 Yost Vista Apt. 045', '<EMAIL>'),
(450, '<NAME>', '757 Belle Springs Apt. 560', '<EMAIL>'),
(451, '<NAME>', '9097 Bartell Pike', '<EMAIL>'),
(452, '<NAME>', '9165 Cleora Trace Suite 925', '<EMAIL>'),
(453, '<NAME>', '72327 Everett Loaf Suite 858', '<EMAIL>'),
(454, '<NAME>', '4714 Steuber Junction Suite 121', '<EMAIL>'),
(455, '<NAME>', '8387 Jordi Squares', '<EMAIL>'),
(456, '<NAME>', '7123 Heller Pines Apt. 249', '<EMAIL>'),
(457, '<NAME>', '479 Buddy Plains', '<EMAIL>'),
(458, '<NAME>', '5662 Cassidy Summit Suite 906', '<EMAIL>'),
(459, '<NAME>', '13025 Klein Wells Suite 695', '<EMAIL>'),
(460, '<NAME>', '304 Crawford Gardens Suite 691', '<EMAIL>'),
(461, '<NAME> Sr.', '94477 Thurman Ford Suite 119', '<EMAIL>'),
(462, '<NAME> DDS', '830 Oberbrunner Fall', '<EMAIL>'),
(463, '<NAME>', '73064 Oceane Key Suite 096', '<EMAIL>'),
(464, 'Dr. <NAME> Sr.', '189 Skiles Drive Apt. 633', '<EMAIL>'),
(465, '<NAME>', '876 Block Court', '<EMAIL>'),
(466, 'Mr. <NAME>', '83214 Breitenberg Lights', '<EMAIL>'),
(467, 'Mr. <NAME> DVM', '148 Boyle Path', '<EMAIL>'),
(468, 'Mr. <NAME>', '6694 Cronin Place Apt. 665', '<EMAIL>'),
(469, '<NAME>', '8943 Pfeffer Motorway', '<EMAIL>'),
(470, 'Dr. <NAME>', '465 Lemke Plains', '<EMAIL>'),
(471, '<NAME>', '63063 Broderick Pass Apt. 520', '<EMAIL>'),
(472, '<NAME>', '05922 Eliza Crossroad Apt. 179', '<EMAIL>'),
(473, 'Dr. <NAME>', '1335 Destiney Trace Apt. 127', '<EMAIL>'),
(474, '<NAME>', '7612 Mekhi Bypass', '<EMAIL>'),
(475, '<NAME>', '3812 Rusty Parks Suite 479', '<EMAIL>'),
(476, 'Prof. <NAME>', '38694 Kov<NAME>', '<EMAIL>'),
(477, '<NAME>', '6969 Virgie Mill Suite 168', '<EMAIL>'),
(478, '<NAME>', '699 Emie Spur Apt. 798', '<EMAIL>'),
(479, '<NAME>', '183 Cory Run', '<EMAIL>'),
(480, '<NAME>', '76660 Welch Pike', '<EMAIL>'),
(481, '<NAME>', '744 Walker Plaza Apt. 250', '<EMAIL>'),
(482, '<NAME> DVM', '3059 Alden Shoal Apt. 214', '<EMAIL>'),
(483, 'Mrs. <NAME> III', '9618 <NAME>', '<EMAIL>'),
(484, '<NAME>', '790 Brakus Tunnel Apt. 082', '<EMAIL>'),
(485, 'Mr. <NAME>', '073 Johnston Heights', '<EMAIL>'),
(486, '<NAME>', '133 <NAME>', '<EMAIL>'),
(487, '<NAME>', '90413 Jacobi Centers Apt. 484', '<EMAIL>'),
(488, '<NAME>', '89796 Janis Flats Suite 674', '<EMAIL>'),
(489, '<NAME> DDS', '61499 Yolanda Loaf Suite 942', '<EMAIL>'),
(490, 'Dr. <NAME> Sr.', '967 Wolff Station Suite 369', '<EMAIL>'),
(491, 'Dr. <NAME> I', '0459 Zieme Light', '<EMAIL>'),
(492, 'Mr. <NAME>', '040 O\'Kon Knoll Apt. 418', '<EMAIL>'),
(493, '<NAME>', '0725 Ophelia Shores Suite 449', '<EMAIL>'),
(494, 'Mr. <NAME>', '42631 Mable Shores', '<EMAIL>'),
(495, '<NAME>', '5484 Randy Curve Suite 044', '<EMAIL>'),
(496, '<NAME>', '98693 Simonis Crossing', '<EMAIL>'),
(497, 'Prof. <NAME> DVM', '570 Beatty Passage', '<EMAIL>'),
(498, '<NAME>', '8370 Mariane Throughway', '<EMAIL>'),
(499, '<NAME> Sr.', '966 Friesen Tunnel Suite 524', '<EMAIL>'),
(500, '<NAME>', '6205 Arely Streets', '<EMAIL>'),
(501, '<NAME> Sr.', '5503 Hills Street Suite 684', '<EMAIL>'),
(502, 'Miss <NAME>', '1647 Emelia Spring Suite 945', '<EMAIL>'),
(503, 'Mr. <NAME>', '774 Brett Mission', '<EMAIL>'),
(504, '<NAME>', '4563 Desiree Canyon Suite 363', '<EMAIL>'),
(505, 'Ms. <NAME> Sr.', '6755 Bahringer Locks', '<EMAIL>'),
(506, 'Prof. <NAME>', '3780 Beau Ranch', '<EMAIL>'),
(507, 'Mr. <NAME> DDS', '2753 Larson Underpass Suite 156', '<EMAIL>'),
(508, '<NAME>', '2045 Liam Square', '<EMAIL>'),
(509, '<NAME>', '3107 Bechtelar Hill', '<EMAIL>'),
(510, '<NAME>', '271 Eugenia Viaduct', '<EMAIL>'),
(511, '<NAME>', '99445 Dexter Estate', '<EMAIL>'),
(512, 'Dr. <NAME> Jr.', '81973 Schinner Lodge', '<EMAIL>'),
(513, '<NAME>', '197 Zulauf Turnpike Suite 907', '<EMAIL>'),
(514, '<NAME>', '649 Krajcik Islands', '<EMAIL>'),
(515, '<NAME>', '092 Hoeger Rue', '<EMAIL>'),
(516, '<NAME>', '945 Joey Row Suite 137', '<EMAIL>'),
(517, 'Prof. <NAME>', '8218 Anahi Parks Apt. 225', '<EMAIL>'),
(518, '<NAME>', '549 Schmeler Land', '<EMAIL>'),
(519, '<NAME> Jr.', '299 Hagenes Plain', '<EMAIL>'),
(520, '<NAME>', '47416 Zella Manors Suite 010', '<EMAIL>'),
(521, '<NAME>', '8991 Rempel Streets', '<EMAIL>'),
(522, 'Dr. <NAME>', '7529 Sauer Points', '<EMAIL>'),
(523, '<NAME> DDS', '752 Brad Villages', '<EMAIL>'),
(524, '<NAME>', '402 Mckenna Island Apt. 909', '<EMAIL>'),
(525, 'Mrs. <NAME>', '3992 Trevor Isle Apt. 981', '<EMAIL>'),
(526, '<NAME> Jr.', '34713 Valentina Pass Suite 226', '<EMAIL>'),
(527, '<NAME>', '1141 Clarissa Viaduct Apt. 288', '<EMAIL>'),
(528, 'Prof. <NAME> Sr.', '01280 <NAME>', '<EMAIL>'),
(529, '<NAME>', '382 Konopelski Ranch Apt. 506', '<EMAIL>'),
(530, '<NAME>', '3144 Schamberger Place', '<EMAIL>'),
(531, '<NAME>', '0839 <NAME>', '<EMAIL>'),
(532, '<NAME>', '4110 Yost Land', '<EMAIL>'),
(533, 'Prof. <NAME> Jr.', '26062 Michele Ridge Apt. 926', '<EMAIL>'),
(534, '<NAME>', '17557 Ward Wall', '<EMAIL>'),
(535, '<NAME> DVM', '2855 Vicenta Mission Suite 125', '<EMAIL>'),
(536, '<NAME>', '74169 Kris Viaduct', '<EMAIL>'),
(537, '<NAME>', '5455 Yost Mission Suite 261', '<EMAIL>'),
(538, '<NAME>', '2664 Richard Knoll Apt. 937', '<EMAIL>'),
(539, '<NAME>', '47361 Ledner Views', '<EMAIL>'),
(540, 'Dr. <NAME> Sr.', '829 Nikolaus Knolls Suite 098', '<EMAIL>'),
(541, 'Prof. <NAME>', '24042 Gwen Street', '<EMAIL>'),
(542, '<NAME>', '27393 Lennie Isle Suite 466', '<EMAIL>'),
(543, '<NAME>', '274 Elmo Walks Apt. 142', '<EMAIL>'),
(544, 'Dr. <NAME>', '305 Donna Streets Apt. 795', '<EMAIL>'),
(545, '<NAME> Jr.', '54604 Zachery Stravenue Suite 592', '<EMAIL>'),
(546, '<NAME>', '8564 Jayden Squares', '<EMAIL>'),
(547, 'Dr. <NAME>', '16041 Osvaldo Center', '<EMAIL>'),
(548, '<NAME>', '014 Tevin Freeway', '<EMAIL>'),
(549, '<NAME>', '397 Chester Trail Apt. 038', '<EMAIL>'),
(550, '<NAME>', '5324 Sadye Summit Suite 029', '<EMAIL>'),
(551, '<NAME>', '959 Pagac Drives', '<EMAIL>'),
(552, '<NAME>', '32818 Larry Bridge', '<EMAIL>'),
(553, '<NAME>', '7546 Wuckert Dam Apt. 809', '<EMAIL>'),
(554, '<NAME> Sr.', '5514 Kohler Overpass', '<EMAIL>'),
(555, 'Mrs. <NAME>', '950 Keeling Crossing', '<EMAIL>'),
(556, '<NAME>', '4884 <NAME>', '<EMAIL>'),
(557, '<NAME>', '343 Alena Points Suite 202', '<EMAIL>'),
(558, '<NAME>', '52818 Connelly Ridge', '<EMAIL>'),
(559, '<NAME> DVM', '893 Lindgren Divide', '<EMAIL>'),
(560, '<NAME>', '325 Goldner Throughway', '<EMAIL>'),
(561, '<NAME>', '992 Destin Isle Apt. 104', '<EMAIL>'),
(562, '<NAME>', '04052 O\'Kon Gateway Apt. 446', '<EMAIL>'),
(563, '<NAME>', '3399 Glen Station Apt. 826', '<EMAIL>'),
(564, '<NAME>', '83750 Rolfson Cliff Apt. 837', '<EMAIL>'),
(565, '<NAME> Jr.', '1049 Maggie Park Apt. 034', '<EMAIL>'),
(566, 'Dr. <NAME>', '255 Abernathy Union Suite 696', '<EMAIL>'),
(567, '<NAME>', '7278 Oberbrunner Spring Suite 572', '<EMAIL>'),
(568, 'Prof. <NAME> MD', '0094 Ines Burg', '<EMAIL>'),
(569, '<NAME>', '0418 Beier Rapid', '<EMAIL>'),
(570, 'Dr. <NAME>', '442 Dare Run Suite 320', '<EMAIL>'),
(571, '<NAME>', '5203 Jerde Walk Suite 046', '<EMAIL>'),
(572, '<NAME>', '778 Reinger Harbors Suite 161', '<EMAIL>'),
(573, '<NAME>', '57297 Hane Spring', '<EMAIL>'),
(574, '<NAME>', '878 Alfonso Fields', '<EMAIL>'),
(575, 'Prof. <NAME>', '51930 Gaylord Spur', '<EMAIL>'),
(576, 'Dr. <NAME>', '860 Wehner Overpass Apt. 890', '<EMAIL>'),
(577, '<NAME>', '79591 Hahn Path', '<EMAIL>'),
(578, '<NAME>', '32656 Kuhn Turnpike', '<EMAIL>'),
(579, '<NAME>', '9914 Cruz Mountains', '<EMAIL>'),
(580, '<NAME>', '568 Volkman Mission', '<EMAIL>'),
(581, 'Dr. <NAME>', '321 Ti<NAME>', '<EMAIL>'),
(582, '<NAME>', '1795 <NAME>', '<EMAIL>'),
(583, '<NAME>', '48639 Robel Shores Suite 024', '<EMAIL>'),
(584, 'Dr. <NAME> Jr.', '4094 Rhoda Lake', '<EMAIL>'),
(585, '<NAME>', '6878 Rosemarie Divide Apt. 402', '<EMAIL>'),
(586, '<NAME>', '9322 Aliya Keys Suite 144', '<EMAIL>'),
(587, '<NAME>', '6273 Ally Summit', '<EMAIL>'),
(588, '<NAME>', '622 Stanford Curve Suite 797', '<EMAIL>'),
(589, 'Prof. <NAME> PhD', '356 Rippin Run Suite 953', '<EMAIL>'),
(590, 'Ms. <NAME>', '849 Gleason Vista', '<EMAIL>'),
(591, '<NAME>', '466 Bode Burgs', '<EMAIL>'),
(592, 'Prof. <NAME> Jr.', '5775 Queenie Orchard', '<EMAIL>'),
(593, '<NAME>', '1386 Gorczany Route', '<EMAIL>'),
(594, 'Miss <NAME>', '0074 Ken Hill', '<EMAIL>'),
(595, 'Dr. <NAME>', '55360 Steuber Ranch', '<EMAIL>'),
(596, 'Prof. <NAME> IV', '85964 Crystal Plain', '<EMAIL>'),
(597, 'Dr. <NAME> MD', '35537 Daniel Cove', '<EMAIL>'),
(598, '<NAME>', '348 Vicente Terrace Apt. 515', '<EMAIL>'),
(599, '<NAME>', '478 Littel Rue', '<EMAIL>'),
(600, '<NAME>', '245 Crist Harbor Suite 160', '<EMAIL>'),
(601, 'Prof. <NAME>', '069 Watsica Junctions', '<EMAIL>'),
(602, 'Dr. <NAME>', '5360 Ruecker Garden Apt. 188', '<EMAIL>'),
(603, '<NAME>', '12339 Flavie Route Apt. 395', '<EMAIL>'),
(604, 'Ms. <NAME>', '8986 Rosamond Locks Suite 294', '<EMAIL>'),
(605, '<NAME>', '885 Scarlett Dam Suite 533', '<EMAIL>'),
(606, 'Mr. <NAME> IV', '5551 Heaney Ways Apt. 012', '<EMAIL>'),
(607, '<NAME>', '6019 Witting Village', '<EMAIL>'),
(608, '<NAME>', '775 Stamm Unions', '<EMAIL>'),
(609, '<NAME>', '5798 Nakia Harbors Suite 900', '<EMAIL>'),
(610, '<NAME>', '368 Christiansen Burg Suite 187', '<EMAIL>'),
(611, '<NAME> DDS', '38965 Cade Drive Suite 194', '<EMAIL>'),
(612, '<NAME>', '4974 Kylee Canyon Apt. 605', '<EMAIL>'),
(613, '<NAME> Sr.', '97622 Edison Center', '<EMAIL>'),
(614, '<NAME>', '413 Hammes Light Suite 120', '<EMAIL>'),
(615, 'Mrs. <NAME> Jr.', '3695 Roxanne Rest', '<EMAIL>'),
(616, '<NAME>', '257 Earline Port', '<EMAIL>'),
(617, '<NAME>', '35137 Kavon Groves', '<EMAIL>'),
(618, '<NAME> PhD', '4920 Imogene Corners Apt. 509', '<EMAIL>'),
(619, '<NAME>', '2815 Stephon Course', '<EMAIL>'),
(620, '<NAME>', '954 Grady Corners Suite 908', '<EMAIL>'),
(621, '<NAME>', '458 Jast Corners Apt. 946', '<EMAIL>'),
(622, '<NAME> IV', '1742 Weston Causeway', '<EMAIL>'),
(623, '<NAME>', '8767 Mosciski Rest', '<EMAIL>'),
(624, '<NAME>', '717 Mayer Knolls Suite 520', '<EMAIL>'),
(625, '<NAME>', '2981 Dach Streets', '<EMAIL>'),
(626, '<NAME> III', '536 Kyle Summit', '<EMAIL>'),
(627, 'Mrs. <NAME>', '834 Mckenzie Port', '<EMAIL>'),
(628, '<NAME>', '95630 Paris Ville Suite 647', '<EMAIL>'),
(629, '<NAME>', '070 Maggie Coves Apt. 139', '<EMAIL>'),
(630, '<NAME>', '51306 Bernardo Burgs', '<EMAIL>'),
(631, 'Prof. <NAME>', '63160 Greenholt Valleys', '<EMAIL>'),
(632, '<NAME>', '1063 Russell Inlet Apt. 008', '<EMAIL>'),
(633, 'Mrs. <NAME> DVM', '97217 Adelle Streets', '<EMAIL>'),
(634, '<NAME>', '7258 Purdy Inlet Suite 974', '<EMAIL>'),
(635, '<NAME>', '5453 J<NAME>arbors Apt. 230', '<EMAIL>'),
(636, '<NAME> V', '57388 Roberts Circle', '<EMAIL>'),
(637, '<NAME>', '79118 Wolf Lane', '<EMAIL>'),
(638, '<NAME>', '21050 Moore Burg', '<EMAIL>');
INSERT INTO `peoples` (`id`, `name`, `address`, `email`) VALUES
(639, 'Fl<NAME>', '16842 O\'Conner Passage Apt. 064', '<EMAIL>'),
(640, '<NAME> DVM', '094 Eliseo Extensions', '<EMAIL>'),
(641, 'Miss <NAME> V', '7354 VonRueden Causeway Suite 514', '<EMAIL>'),
(642, 'Dr. <NAME>', '6300 Watsica Shore Suite 243', '<EMAIL>'),
(643, '<NAME>', '908 Izabella Track', '<EMAIL>'),
(644, 'Miss <NAME>', '94707 Prince Dale', '<EMAIL>'),
(645, '<NAME>', '793 Zachary Common', '<EMAIL>'),
(646, 'Dr. <NAME> IV', '616 Zemlak Islands', '<EMAIL>'),
(647, '<NAME>', '11141 Brayan Path Apt. 706', '<EMAIL>'),
(648, '<NAME>', '7148 Car<NAME>', '<EMAIL>'),
(649, '<NAME>', '5427 Emard Ville Apt. 502', '<EMAIL>'),
(650, '<NAME>', '32455 Kertzmann Plain', '<EMAIL>'),
(651, 'Prof. <NAME> PhD', '6625 Jaida Street Suite 040', '<EMAIL>'),
(652, 'Dr. <NAME>', '8519 <NAME>', '<EMAIL>'),
(653, '<NAME>', '572 Conn Bypass Apt. 057', '<EMAIL>'),
(654, 'Ms. <NAME>', '8311 Freddie Overpass', '<EMAIL>'),
(655, '<NAME>', '16995 <NAME>', '<EMAIL>'),
(656, 'Mrs. <NAME>', '77303 Evangeline Via Suite 565', '<EMAIL>'),
(657, 'Prof. <NAME>', '2263 Mona Divide', '<EMAIL>'),
(658, '<NAME> PhD', '4401 Grimes Run Suite 120', '<EMAIL>'),
(659, '<NAME>', '01562 Jacobs Oval', '<EMAIL>'),
(660, '<NAME>', '9420 Sauer Court', '<EMAIL>'),
(661, 'Mr. <NAME>', '474 Reese Glen Apt. 867', '<EMAIL>'),
(662, '<NAME>', '863 Jackson Trail', '<EMAIL>'),
(663, 'Dr. <NAME>', '26782 Cronin Mountain Apt. 473', '<EMAIL>'),
(664, '<NAME> Jr.', '9740 Guillermo Plaza', '<EMAIL>'),
(665, 'Prof. <NAME>', '9230 Jarrell Rue Suite 209', '<EMAIL>'),
(666, '<NAME>', '122 Hintz Keys', '<EMAIL>'),
(667, '<NAME>', '67657 Hahn Junctions', '<EMAIL>'),
(668, '<NAME>', '802 Seth Expressway Apt. 421', '<EMAIL>'),
(669, '<NAME>', '4423 Hilton Pines', '<EMAIL>'),
(670, '<NAME>', '0292 Terrill Pines Apt. 221', '<EMAIL>'),
(671, 'Ms. <NAME>', '58956 Harvey Neck Apt. 189', '<EMAIL>'),
(672, '<NAME>', '643 Paucek Orchard', '<EMAIL>'),
(673, '<NAME>', '514 River Square Suite 468', '<EMAIL>'),
(674, '<NAME>', '40815 Lisette Skyway Suite 922', '<EMAIL>'),
(675, '<NAME> PhD', '85147 Schaefer Passage Apt. 390', '<EMAIL>'),
(676, '<NAME>', '00360 O\'Reilly Mountains Apt. 394', '<EMAIL>'),
(677, 'Dr. <NAME> PhD', '572 Mayer Harbors Apt. 953', '<EMAIL>'),
(678, 'Mr. <NAME>', '0599 <NAME>', '<EMAIL>'),
(679, '<NAME>', '609 Stan Shoals', '<EMAIL>'),
(680, 'Mr. <NAME>', '315 Brett Lodge Apt. 049', '<EMAIL>'),
(681, '<NAME> DVM', '2949 Gorczany Street', '<EMAIL>'),
(682, '<NAME>', '8537 Heller Run', '<EMAIL>'),
(683, 'Ms. <NAME> V', '627 Adeline Orchard', '<EMAIL>'),
(684, '<NAME>', '742 <NAME>', '<EMAIL>'),
(685, '<NAME>', '140 Cheyanne Hollow Suite 846', '<EMAIL>'),
(686, '<NAME> Jr.', '4976 Federico Trail', '<EMAIL>'),
(687, '<NAME> PhD', '3936 Owen Isle', '<EMAIL>'),
(688, '<NAME>', '9627 Steuber Harbor', '<EMAIL>'),
(689, '<NAME> Jr.', '310 Dwight Stream', '<EMAIL>'),
(690, '<NAME>', '027 Gibson Extensions Suite 296', '<EMAIL>'),
(691, 'Prof. <NAME> DDS', '4636 Mueller Plain Apt. 649', '<EMAIL>'),
(692, '<NAME>', '3006 Heather Tunnel', '<EMAIL>'),
(693, '<NAME>', '45431 Berniece Plains', '<EMAIL>'),
(694, '<NAME>', '026 <NAME>', '<EMAIL>'),
(695, 'Mr. <NAME>', '21243 Myra Shores Apt. 494', '<EMAIL>'),
(696, '<NAME>', '3063 Adrain Meadow', '<EMAIL>'),
(697, '<NAME>', '9835 Lisa Square Suite 239', '<EMAIL>'),
(698, '<NAME>', '5104 Anderson Junctions Suite 773', '<EMAIL>'),
(699, '<NAME>', '8575 Leann Ridge', '<EMAIL>'),
(700, 'Mr. <NAME>', '71768 Omari Ferry Suite 659', '<EMAIL>'),
(701, 'Prof. <NAME> III', '05120 Myrl Meadows', '<EMAIL>'),
(702, '<NAME>', '81565 Sigmund Centers', '<EMAIL>'),
(703, '<NAME> MD', '2440 Idell Haven Suite 946', '<EMAIL>'),
(704, 'Prof. <NAME> MD', '85157 Balistreri Via Suite 857', '<EMAIL>'),
(705, '<NAME> Sr.', '04643 Desmond Village', '<EMAIL>'),
(706, 'Ms. <NAME> DVM', '17782 Homenick Groves', '<EMAIL>'),
(707, '<NAME>', '493 Treutel Crescent', '<EMAIL>'),
(708, '<NAME>', '0293 Leda Village', '<EMAIL>'),
(709, '<NAME>', '1796 Bayer Lodge Apt. 540', '<EMAIL>'),
(710, '<NAME>', '75332 Al Drive', '<EMAIL>'),
(711, '<NAME> PhD', '859 Jade Ville Apt. 824', '<EMAIL>'),
(712, 'Prof. <NAME>', '924 Karelle Route', '<EMAIL>'),
(713, '<NAME>', '08362 Schaden Grove Apt. 183', '<EMAIL>'),
(714, '<NAME>', '0062 Buckridge Coves Apt. 978', '<EMAIL>'),
(715, '<NAME>', '195 Thompson Drives', '<EMAIL>'),
(716, '<NAME>', '3146 Keon Islands Suite 500', '<EMAIL>'),
(717, '<NAME>', '1505 Huels Cove', '<EMAIL>'),
(718, '<NAME>', '3198 Oberbrunner Drives', '<EMAIL>'),
(719, '<NAME>', '5683 Elton Green Apt. 221', '<EMAIL>'),
(720, '<NAME> DDS', '78411 Reilly Locks Suite 648', '<EMAIL>'),
(721, 'Prof. <NAME>', '04873 Makayla Forge', '<EMAIL>'),
(722, '<NAME> MD', '4522 Hyatt Fall', '<EMAIL>'),
(723, 'Mrs. <NAME>', '62216 Jaren Isle Apt. 626', '<EMAIL>'),
(724, 'Mrs. <NAME>', '9137 Thora Haven Suite 654', '<EMAIL>'),
(725, 'Dr. <NAME>', '771 Stokes Coves', '<EMAIL>'),
(726, 'Mrs. <NAME>', '823 Lucius Village Suite 434', '<EMAIL>'),
(727, '<NAME> PhD', '30973 Ethan Unions', '<EMAIL>'),
(728, '<NAME>', '9801 Walker Mountain', '<EMAIL>'),
(729, '<NAME>', '7025 Ashton Mews Apt. 299', '<EMAIL>'),
(730, '<NAME>', '950 Gutkowski Orchard Suite 295', '<EMAIL>'),
(731, 'Mr. <NAME> MD', '69083 Towne Glens', '<EMAIL>'),
(732, '<NAME>', '2110 Little Path Apt. 500', '<EMAIL>'),
(733, '<NAME>', '353 Berge Extensions', '<EMAIL>'),
(734, '<NAME>', '0402 <NAME>', '<EMAIL>'),
(735, '<NAME>', '297 Mozelle Point', '<EMAIL>'),
(736, '<NAME>', '79721 Daphney Expressway', '<EMAIL>'),
(737, '<NAME>', '54315 Kelvin Forges Suite 729', '<EMAIL>'),
(738, '<NAME>', '0535 Botsford Orchard Apt. 642', '<EMAIL>'),
(739, '<NAME>', '10542 O\'Kon Harbor Suite 694', '<EMAIL>'),
(740, '<NAME>', '7875 Stanton Pines Suite 237', '<EMAIL>'),
(741, '<NAME>', '1748 Carmine Locks', '<EMAIL>'),
(742, '<NAME> III', '53949 Jerome Drive Suite 062', '<EMAIL>'),
(743, '<NAME>', '02410 Orn Meadow', '<EMAIL>'),
(744, '<NAME> MD', '4454 Korbin Stream', '<EMAIL>'),
(745, 'Mrs. <NAME> IV', '160 Marques Tunnel', '<EMAIL>'),
(746, '<NAME>', '1706 Uriah Brooks Suite 771', '<EMAIL>'),
(747, '<NAME>', '69095 Nader Common', '<EMAIL>'),
(748, '<NAME>', '0528 Huels Pine Suite 183', '<EMAIL>'),
(749, '<NAME>', '0015 Elaina Extension Apt. 831', '<EMAIL>'),
(750, 'Dr. <NAME> DDS', '77491 Goldner Point', '<EMAIL>'),
(751, 'Dr. <NAME> III', '087 Amely Loaf Suite 196', '<EMAIL>'),
(752, '<NAME>', '34914 Davis Place', '<EMAIL>'),
(753, 'Mr. <NAME>', '9229 Gwen Ford Suite 926', '<EMAIL>'),
(754, '<NAME>', '7310 Krajcik Plains', '<EMAIL>'),
(755, '<NAME>', '41600 <NAME>', '<EMAIL>'),
(756, '<NAME>', '97472 Crooks Rue Suite 482', '<EMAIL>'),
(757, '<NAME>', '799 Fahey Place', '<EMAIL>'),
(758, '<NAME> Sr.', '846 Cole Route', '<EMAIL>'),
(759, 'Mr. <NAME>', '7620 Walker Port', '<EMAIL>'),
(760, '<NAME>', '7143 Ryder Mall Suite 045', '<EMAIL>'),
(761, '<NAME>', '7090 Fahey Alley', '<EMAIL>'),
(762, '<NAME>', '20737 Hickle Fork Apt. 219', '<EMAIL>'),
(763, 'Mr. <NAME> DDS', '4409 Terry Station', '<EMAIL>'),
(764, '<NAME>', '5390 Kilback Lodge', '<EMAIL>'),
(765, '<NAME>', '46881 Rowe Road', '<EMAIL>'),
(766, 'Prof. <NAME>', '76964 Doyle Trace', '<EMAIL>'),
(767, '<NAME>', '15973 Wyman Ramp', '<EMAIL>'),
(768, '<NAME> DDS', '55027 Jaskolski Overpass', '<EMAIL>'),
(769, 'Ro<NAME>', '8334 Berge Island Suite 623', '<EMAIL>'),
(770, '<NAME>', '95023 Chester Branch Apt. 031', '<EMAIL>'),
(771, '<NAME>', '36699 Boehm Junctions', '<EMAIL>'),
(772, 'Mr. <NAME>', '54869 <NAME>', '<EMAIL>'),
(773, '<NAME>', '437 Gloria Orchard Suite 040', '<EMAIL>'),
(774, '<NAME> DDS', '9799 Schmidt Freeway Suite 148', '<EMAIL>'),
(775, '<NAME>', '98627 Pagac Turnpike Suite 942', '<EMAIL>'),
(776, 'Dr. <NAME> PhD', '5576 Nick Meadows', '<EMAIL>'),
(777, '<NAME>', '7970 Haley Cliffs Suite 609', '<EMAIL>'),
(778, '<NAME>', '3212 Schneider Row Apt. 618', '<EMAIL>'),
(779, '<NAME> PhD', '6866 Bradly Drives', '<EMAIL>'),
(780, '<NAME> MD', '38911 <NAME>', '<EMAIL>'),
(781, '<NAME>', '172 Fahey Fork Apt. 948', '<EMAIL>'),
(782, '<NAME>', '9914 Laurianne Forge', '<EMAIL>'),
(783, 'Mr. <NAME> DDS', '9046 Jan Track', '<EMAIL>'),
(784, 'Dr. <NAME> Jr.', '21175 Ellen Fields Suite 790', '<EMAIL>'),
(785, 'Mrs. <NAME>', '36447 Una Crossroad', '<EMAIL>'),
(786, 'Mrs. <NAME>', '248 Lueilwitz Parkway Apt. 884', '<EMAIL>'),
(787, '<NAME>', '6031 Moore Overpass', '<EMAIL>'),
(788, '<NAME>', '81677 Lucious Mills', '<EMAIL>'),
(789, '<NAME>', '80686 Alexane Track Suite 035', '<EMAIL>'),
(790, '<NAME>', '9838 Hoeger Centers Suite 891', '<EMAIL>'),
(791, 'Prof. <NAME> Sr.', '33829 Rutherford Flats Suite 830', '<EMAIL>'),
(792, '<NAME>', '55614 Goyette Drive Suite 404', '<EMAIL>'),
(793, '<NAME>', '72107 Kshlerin Forge', '<EMAIL>'),
(794, 'Prof. <NAME> DVM', '8214 Lenna Plains Apt. 872', '<EMAIL>'),
(795, 'Ronaldo Bode I', '539 Macejkovic Village Apt. 420', '<EMAIL>'),
(796, 'Prof. <NAME> Jr.', '53847 Marlene Ramp Apt. 089', '<EMAIL>'),
(797, '<NAME>', '72599 Rogahn Center', '<EMAIL>'),
(798, '<NAME>', '8387 Wyman Village Apt. 575', '<EMAIL>'),
(799, '<NAME>', '46123 Rozella Views Apt. 875', '<EMAIL>'),
(800, '<NAME>', '6337 Mercedes Stream', '<EMAIL>'),
(801, '<NAME>', '8485 Kilback Lodge', '<EMAIL>'),
(802, '<NAME>', '69452 Citlalli Estate Apt. 851', '<EMAIL>'),
(803, '<NAME> PhD', '804 Stracke Orchard Suite 907', '<EMAIL>'),
(804, '<NAME>', '0128 Abbott Circles Suite 199', '<EMAIL>'),
(805, '<NAME> MD', '53932 Feil Gateway Apt. 935', '<EMAIL>'),
(806, '<NAME>', '7833 Adella Highway', '<EMAIL>'),
(807, 'Mr. <NAME> III', '18531 Berneice Freeway Apt. 421', '<EMAIL>'),
(808, 'Mrs. <NAME>', '79647 Skye Via Suite 541', '<EMAIL>'),
(809, 'Mrs. <NAME>', '2486 <NAME>', '<EMAIL>'),
(810, '<NAME> PhD', '853 Schamberger Crossroad', '<EMAIL>'),
(811, 'Prof. <NAME>', '243 Dejon Land', '<EMAIL>'),
(812, 'Prof. <NAME>', '2070 <NAME>', '<EMAIL>'),
(813, 'Dr. <NAME>', '394 Bosco Parkway', '<EMAIL>'),
(814, '<NAME>', '4130 Deshaun Valley Apt. 113', '<EMAIL>'),
(815, 'Mr. <NAME>', '127 Hettinger Shores', '<EMAIL>'),
(816, '<NAME> PhD', '853 Helen Mews', '<EMAIL>'),
(817, 'Dr. <NAME>', '792 Shaylee Isle Suite 674', '<EMAIL>'),
(818, 'Mr. <NAME>', '5851 O\'Kon Cliffs', '<EMAIL>'),
(819, '<NAME>', '5364 Reinhold Burgs', '<EMAIL>'),
(820, '<NAME>', '0288 Cierra Plains', '<EMAIL>'),
(821, '<NAME>', '81115 Talia Heights Apt. 831', '<EMAIL>'),
(822, 'Mr. <NAME> DVM', '6597 Tom Manor Apt. 071', '<EMAIL>'),
(823, '<NAME> Sr.', '6372 Medhurst Parkways Apt. 956', '<EMAIL>'),
(824, 'Dr. <NAME> V', '38962 Estella Mill', '<EMAIL>'),
(825, '<NAME>', '739 Grady Pike', '<EMAIL>'),
(826, 'Mr. <NAME>', '076 Simonis Ways Suite 757', '<EMAIL>'),
(827, '<NAME>', '6501 Tina Lodge Apt. 720', '<EMAIL>'),
(828, '<NAME> IV', '01423 Heller Valley', '<EMAIL>'),
(829, '<NAME>', '462 Langworth Plaza', '<EMAIL>'),
(830, 'Prof. <NAME>', '6656 Mueller Crest', '<EMAIL>'),
(831, 'Mr. <NAME>', '426 Brooke Squares', '<EMAIL>'),
(832, 'Prof. <NAME>', '8892 Percival Meadow', '<EMAIL>'),
(833, '<NAME>', '0051 Roob Ways Suite 074', '<EMAIL>'),
(834, '<NAME>', '823 Connie Cove', '<EMAIL>'),
(835, 'Haven Hoppe Sr.', '600 Nader Flats', '<EMAIL>'),
(836, '<NAME>', '444 Savannah Via Apt. 607', '<EMAIL>'),
(837, '<NAME>', '24253 Bogan Common Apt. 012', '<EMAIL>'),
(838, 'Prof. <NAME>', '8676 Litzy Manor Suite 231', '<EMAIL>'),
(839, '<NAME>', '0949 Johnson Vista', '<EMAIL>'),
(840, 'Dr. <NAME> MD', '132 Oberbrunner Park', '<EMAIL>'),
(841, '<NAME>', '18274 Dejah Meadows', '<EMAIL>'),
(842, 'Prof. <NAME>', '371 Hoppe Circle', '<EMAIL>'),
(843, 'Dr. <NAME>', '83669 Kirlin Forges Apt. 842', '<EMAIL>'),
(844, '<NAME>', '21438 O\'Reilly Well Suite 128', '<EMAIL>'),
(845, '<NAME>', '486 Brakus Highway', '<EMAIL>'),
(846, '<NAME>', '476 Powlowski Meadows Apt. 326', '<EMAIL>'),
(847, '<NAME>', '888 Bergnaum Plains', '<EMAIL>'),
(848, '<NAME> DVM', '621 Diana Pine', '<EMAIL>'),
(849, '<NAME>', '95071 Funk Parks Apt. 001', '<EMAIL>'),
(850, '<NAME>', '0060 Larson Stravenue', '<EMAIL>'),
(851, 'Mr. <NAME> I', '4785 Marvin Locks Apt. 600', '<EMAIL>'),
(852, '<NAME>', '0447 Johnston Trail', '<EMAIL>'),
(853, '<NAME>', '9938 Becker Fort Apt. 232', '<EMAIL>'),
(854, '<NAME>', '337 Considine Brooks Suite 073', '<EMAIL>'),
(855, '<NAME>', '878 Ferry Route', '<EMAIL>'),
(856, 'Mrs. <NAME>', '0772 Arch Wells', '<EMAIL>'),
(857, '<NAME>', '61781 Olson Field', '<EMAIL>'),
(858, '<NAME>', '159 Gibson Plaza Suite 740', '<EMAIL>'),
(859, '<NAME>', '207 <NAME>', '<EMAIL>'),
(860, '<NAME>', '541 Franecki Brook Suite 762', '<EMAIL>'),
(861, '<NAME>', '9340 Adrienne Camp Suite 523', '<EMAIL>'),
(862, '<NAME>', '593 Gaylord Ways', '<EMAIL>'),
(863, '<NAME>', '3242 Addie Hill', '<EMAIL>'),
(864, '<NAME>', '17920 Crist Square', '<EMAIL>'),
(865, '<NAME>', '0639 Damaris Terrace Apt. 258', '<EMAIL>'),
(866, '<NAME>', '249 Rau Plains Apt. 660', '<EMAIL>'),
(867, 'Dr. <NAME>', '6039 Alta Summit Suite 829', '<EMAIL>'),
(868, '<NAME>', '54179 Willms Underpass Suite 674', '<EMAIL>'),
(869, '<NAME>', '296 Sporer Views', '<EMAIL>'),
(870, 'Prof. <NAME>', '883 Jacinthe Bridge Apt. 411', '<EMAIL>'),
(871, '<NAME>', '5745 Sammy Bridge Suite 809', '<EMAIL>'),
(872, '<NAME>', '154 Kathleen Springs Suite 774', '<EMAIL>'),
(873, '<NAME>', '6559 Rosenbaum Mall', '<EMAIL>'),
(874, '<NAME>', '50945 Aufderhar Rapid', '<EMAIL>'),
(875, '<NAME>', '070 Sophia Mount Suite 706', '<EMAIL>'),
(876, '<NAME>', '603 Kaela Prairie Suite 832', '<EMAIL>'),
(877, 'Mr. <NAME>', '5520 Maiya Summit', '<EMAIL>'),
(878, 'Mr. <NAME> PhD', '49543 Mertz Causeway', '<EMAIL>'),
(879, 'Prof. <NAME>', '628 Pollich Parkway Suite 832', '<EMAIL>'),
(880, '<NAME>', '272 Keeling Lake Suite 742', '<EMAIL>'),
(881, '<NAME>', '54321 Enrique Ridges', '<EMAIL>'),
(882, '<NAME>', '960 Bechtelar Squares Suite 202', '<EMAIL>'),
(883, '<NAME> DVM', '3872 Gordon Green Suite 905', '<EMAIL>'),
(884, 'Dr. <NAME>', '811 Welch Cove Apt. 019', '<EMAIL>'),
(885, '<NAME>', '3903 Meda Fall', '<EMAIL>'),
(886, 'Miss <NAME>', '48061 Darian Streets', '<EMAIL>'),
(887, '<NAME>', '92903 Murphy Crossing', '<EMAIL>'),
(888, '<NAME>', '7670 Koelpin Light', '<EMAIL>'),
(889, '<NAME>', '80811 Effertz Walks Apt. 396', '<EMAIL>'),
(890, '<NAME>', '397 Crooks Grove', '<EMAIL>'),
(891, '<NAME>', '24473 Kuhic Keys Apt. 633', '<EMAIL>'),
(892, '<NAME>', '875 Jairo Village', '<EMAIL>'),
(893, 'Dr. <NAME> Sr.', '657 Ruecker Overpass', '<EMAIL>'),
(894, '<NAME>', '4814 McCullough Mountain', '<EMAIL>'),
(895, '<NAME>', '386 Enola Grove Suite 742', '<EMAIL>'),
(896, '<NAME>', '9701 Hane Isle', '<EMAIL>'),
(897, '<NAME>', '750 Stroman Manors Apt. 743', '<EMAIL>'),
(898, '<NAME>', '29399 VonRueden Junction', '<EMAIL>'),
(899, '<NAME>', '5711 Tromp Way Apt. 509', '<EMAIL>'),
(900, '<NAME> MD', '2424 Ziemann Junctions', '<EMAIL>'),
(901, 'Dr. <NAME>', '549 Miller Fall', '<EMAIL>'),
(902, '<NAME> Sr.', '8089 Grant Highway Suite 590', '<EMAIL>'),
(903, '<NAME>', '8620 Ivy Meadows', '<EMAIL>'),
(904, '<NAME> DDS', '4845 Kessler Wall', '<EMAIL>'),
(905, '<NAME>', '25176 Ward Village', '<EMAIL>'),
(906, 'Dr. <NAME>', '668 Doyle Cape', '<EMAIL>'),
(907, '<NAME>', '116 Rickey Island Apt. 148', '<EMAIL>'),
(908, '<NAME>', '72633 Von Estates', '<EMAIL>'),
(909, '<NAME>', '969 Jerde Run', '<EMAIL>'),
(910, '<NAME>', '9343 Rhiannon Inlet', '<EMAIL>'),
(911, '<NAME>', '90999 Kulas Ville Apt. 606', '<EMAIL>'),
(912, '<NAME>', '63665 Lacy Brooks', '<EMAIL>'),
(913, '<NAME>', '78826 Marquardt Burg', '<EMAIL>'),
(914, '<NAME>', '1765 Jamison Green Apt. 122', '<EMAIL>'),
(915, 'Ms. <NAME>', '98605 Schaden Way', '<EMAIL>'),
(916, '<NAME>', '61777 Cremin Summit', '<EMAIL>'),
(917, '<NAME> DDS', '94810 Sawayn Drive Apt. 782', '<EMAIL>'),
(918, '<NAME>', '8397 Lindgren Club', '<EMAIL>'),
(919, '<NAME>', '669 Grimes Isle', '<EMAIL>'),
(920, '<NAME>', '897 Benedict Fork', '<EMAIL>'),
(921, '<NAME>', '31748 Edna Villages Apt. 619', '<EMAIL>'),
(922, '<NAME>', '333 Jalen Harbor Suite 186', '<EMAIL>'),
(923, '<NAME> PhD', '50964 <NAME>', '<EMAIL>'),
(924, '<NAME>', '454 Alexandrine Ferry Apt. 120', '<EMAIL>'),
(925, '<NAME>', '77619 Blake Mill', '<EMAIL>'),
(926, '<NAME>', '65293 Lemke Throughway', '<EMAIL>'),
(927, '<NAME>', '362 Nikolaus Islands Suite 956', '<EMAIL>'),
(928, '<NAME>', '756 Raynor Inlet', '<EMAIL>'),
(929, '<NAME>', '149 Bryon Flats Suite 006', '<EMAIL>'),
(930, 'Mrs. <NAME> DDS', '066 Beverly Hills Apt. 012', '<EMAIL>'),
(931, 'Prof. <NAME>', '960 Sonya Mountains Suite 581', '<EMAIL>'),
(932, '<NAME>', '4740 Rutherford Mountain Suite 298', '<EMAIL>'),
(933, '<NAME>', '9166 Elvie Island Suite 699', '<EMAIL>'),
(934, '<NAME>', '4860 Kozey Circle Apt. 414', '<EMAIL>'),
(935, 'Loyal Considine', '0887 Dangelo Underpass', '<EMAIL>'),
(936, '<NAME>', '9115 Stokes Turnpike Apt. 188', '<EMAIL>'),
(937, '<NAME>', '3767 Hal Radial', '<EMAIL>'),
(938, 'Dr. <NAME>', '6630 Donnelly Street', '<EMAIL>'),
(939, '<NAME>', '89273 Adam Stream', '<EMAIL>'),
(940, 'Prof. <NAME>', '92577 Amy Expressway', '<EMAIL>'),
(941, '<NAME>', '02934 Dora Skyway', '<EMAIL>'),
(942, '<NAME>', '891 Pierce Coves Suite 526', '<EMAIL>'),
(943, 'Prof. <NAME> Jr.', '03393 Bergstrom Square', '<EMAIL>'),
(944, '<NAME>', '02236 Balistreri Village', '<EMAIL>'),
(945, '<NAME>', '26708 Juwan Mill', '<EMAIL>'),
(946, 'Dr. <NAME>', '09876 Roel Brook', '<EMAIL>'),
(947, 'Prof. <NAME>', '005 Darwin Street', '<EMAIL>'),
(948, '<NAME>', '9511 Jayme Village', '<EMAIL>'),
(949, '<NAME>', '51393 Eliseo Road', '<EMAIL>'),
(950, '<NAME>', '341 Weimann Burgs', '<EMAIL>'),
(951, 'Dr. <NAME>', '6271 <NAME>', '<EMAIL>'),
(952, '<NAME>', '93721 Haley Port Suite 047', '<EMAIL>'),
(953, '<NAME>', '09710 Jaskolski Vista Apt. 335', '<EMAIL>'),
(954, '<NAME>', '4811 Zoie Crescent Apt. 243', '<EMAIL>'),
(955, 'Easter Raynor', '794 Leonor Shores', '<EMAIL>'),
(956, '<NAME>', '121 <NAME>', '<EMAIL>'),
(957, 'Ulices Hermiston MD', '3510 Shields Spur', '<EMAIL>'),
(958, '<NAME>', '830 Boehm Island Suite 296', '<EMAIL>'),
(959, '<NAME> PhD', '14273 Ped<NAME>', '<EMAIL>'),
(960, '<NAME> Jr.', '4088 Marc Vista Suite 846', '<EMAIL>'),
(961, '<NAME>', '821 Sawayn Points', '<EMAIL>'),
(962, '<NAME>', '2000 B<NAME>', '<EMAIL>'),
(963, '<NAME>', '140 Magdalena Crossroad', '<EMAIL>'),
(964, '<NAME>', '44706 <NAME>', '<EMAIL>'),
(965, '<NAME>', '3899 Gail Key', '<EMAIL>'),
(966, 'Dr. <NAME> Sr.', '402 Loren Ranch Apt. 148', '<EMAIL>'),
(967, '<NAME>', '0360 Hansen Fall Suite 964', '<EMAIL>'),
(968, '<NAME>', '32920 Eddie Glens Suite 695', '<EMAIL>'),
(969, '<NAME>', '80613 Ashly Haven', '<EMAIL>'),
(970, '<NAME>', '958 Herman Key Apt. 480', '<EMAIL>'),
(971, '<NAME>', '53253 Nitzsche Meadow Suite 313', '<EMAIL>'),
(972, 'Dr. <NAME>', '4052 Lang Turnpike Suite 822', '<EMAIL>'),
(973, '<NAME>', '261 Considine Common', '<EMAIL>'),
(974, '<NAME>', '851 Meredith Trail', '<EMAIL>'),
(975, 'Prof. <NAME>', '9803 Toni Gateway', '<EMAIL>'),
(976, 'Dr. <NAME>', '136 Kris Mountains Apt. 968', '<EMAIL>'),
(977, '<NAME> Jr.', '0841 Jesus Terrace Suite 464', '<EMAIL>'),
(978, '<NAME>', '652 Abshire Street Apt. 464', '<EMAIL>'),
(979, '<NAME>', '607 VonRueden River', '<EMAIL>'),
(980, '<NAME>', '473 Loma Bridge', '<EMAIL>'),
(981, '<NAME>', '1596 Athena Lock', '<EMAIL>'),
(982, '<NAME>', '862 Kevin Meadow', '<EMAIL>'),
(983, 'Dr. <NAME>', '1344 Trantow Fort Suite 960', '<EMAIL>.<EMAIL>'),
(984, '<NAME>', '2525 Deckow Parks Apt. 202', '<EMAIL>'),
(985, 'Dr. <NAME>', '81216 <NAME>', '<EMAIL>'),
(986, '<NAME>', '66393 Bettye Tunnel Suite 235', '<EMAIL>'),
(987, 'Ms. <NAME>', '8239 Shanon Lock', '<EMAIL>'),
(988, '<NAME>', '1633 Ephraim Ports', '<EMAIL>'),
(989, 'Dr. <NAME>', '2373 Harrison Views', '<EMAIL>'),
(990, '<NAME>', '7764 Adrianna Mall Apt. 346', '<EMAIL>'),
(991, 'Mrs. <NAME>', '2963 Ferry Ports Apt. 967', '<EMAIL>'),
(992, 'Prof. <NAME>', '63278 Abshire Falls', '<EMAIL>'),
(993, '<NAME>', '5092 Herzog Groves Apt. 491', '<EMAIL>'),
(994, '<NAME>', '822 Moses Extensions Suite 977', '<EMAIL>'),
(995, '<NAME>', '9045 Evert Plains Suite 004', '<EMAIL>'),
(996, '<NAME>', '050 Citlalli View Suite 924', '<EMAIL>'),
(997, '<NAME>', '7947 Marks Plaza', '<EMAIL>'),
(998, '<NAME>', '04679 Jean<NAME>', '<EMAIL>'),
(999, '<NAME>', '048 Pagac Village Apt. 048', '<EMAIL>'),
(1000, '<NAME>', '10836 Lizeth Bypass Apt. 316', '<EMAIL>');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `mahasiswa`
--
ALTER TABLE `mahasiswa`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `peoples`
--
ALTER TABLE `peoples`
ADD PRIMARY KEY (`id`),
ADD KEY `email` (`email`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `mahasiswa`
--
ALTER TABLE `mahasiswa`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- AUTO_INCREMENT for table `peoples`
--
ALTER TABLE `peoples`
MODIFY `id` int(9) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=1001;
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>rossjones/delius-offender-api
CREATE TABLE OFFENDER_DELTA
(
OFFENDER_ID DECIMAL(38) NOT NULL,
DATE_CHANGED TIMESTAMP NOT NULL
); |
-- phpMyAdmin SQL Dump
-- version 4.8.1
-- https://www.phpmyadmin.net/
--
-- Host: 1172.16.58.3
-- Generation Time: Dec 16, 2018 at 08:46 AM
-- Server version: 10.1.33-MariaDB
-- PHP Version: 7.2.6
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: `silos`
--
-- --------------------------------------------------------
--
-- Table structure for table `items`
--
CREATE TABLE `items` (
`Item_ID` int(11) NOT NULL,
`Item_Name` varchar(255) NOT NULL,
`Item_Code` int(11) NOT NULL,
`Item_Quantity` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Table structure for table `silos`
--
CREATE TABLE `silos` (
`Silo_ID` int(11) NOT NULL,
`Silo_Name` varchar(50) NOT NULL,
`Silo_Address` varchar(100) NOT NULL,
`Store_ID` int(11) NOT NULL,
`Item_ID` int(11) NOT NULL,
`User_ID` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Table structure for table `stores`
--
CREATE TABLE `stores` (
`Store_ID` int(11) NOT NULL,
`Store_Name` varchar(50) NOT NULL,
`Item_ID` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`User_ID` int(11) NOT NULL,
`User_Name` varchar(50) NOT NULL,
`Pass_word` varchar(50) NOT NULL,
`Privll_ID` int(11) NOT NULL,
`Silo_ID` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Indexes for dumped tables
--
--
-- Indexes for table `items`
--
ALTER TABLE `items`
ADD PRIMARY KEY (`Item_ID`);
--
-- Indexes for table `silos`
--
ALTER TABLE `silos`
ADD PRIMARY KEY (`Silo_ID`);
--
-- Indexes for table `stores`
--
ALTER TABLE `stores`
ADD PRIMARY KEY (`Store_ID`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`User_ID`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `items`
--
ALTER TABLE `items`
MODIFY `Item_ID` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `silos`
--
ALTER TABLE `silos`
MODIFY `Silo_ID` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `stores`
--
ALTER TABLE `stores`
MODIFY `Store_ID` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `users`
--
ALTER TABLE `users`
MODIFY `User_ID` int(11) NOT NULL AUTO_INCREMENT;
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>data/www/dolphin-master/htdocs/upgrade/files/7.0.9-7.1.0.B1/modules/custom_rss/sql.sql
-- menu admin
UPDATE `sys_menu_admin` SET `name` = 'Custom RSS', `title` = '_crss_ami_custom_rss', `icon` = 'rss' WHERE `name` = 'Custom RSS Moderation';
-- page biulder
DELETE FROM `sys_page_compose` WHERE `Page` = 'profile' AND `Desc` = 'Custom RSS block';
SET @PageKey1 = (SELECT MAX(`order`) FROM `sys_page_compose` WHERE `Page` = 'profile' AND `Column`=2);
INSERT INTO `sys_page_compose` (`ID`, `Page`, `PageWidth`, `Desc`, `Caption`, `Column`, `Order`, `Func`, `Content`, `DesignBox`, `ColWidth`, `Visible`, `MinWidth`) VALUES
(NULL, 'profile', '1140px', 'Custom RSS block', '_crss_Custom_Feeds', 2, @PageKey1+1, 'PHP', 'return BxDolService::call(''custom_rss'', ''gen_custom_rss_block'', array($this->oProfileGen->_iProfileID));', 0, 71.9, 'non,memb', 0);
-- site stats
DELETE FROM `sys_stat_site` WHERE `Name` = 'crss';
SET @iStatSiteOrder := (SELECT `StatOrder` + 1 FROM `sys_stat_site` WHERE 1 ORDER BY `StatOrder` DESC LIMIT 1);
INSERT INTO `sys_stat_site` VALUES(NULL, 'crss', 'crss_ss', '', 'SELECT COUNT(`ID`) FROM `[db_prefix]_main` WHERE `Status`=''active''', 'modules/boonex/custom_rss/post_mod_crss.php', 'SELECT COUNT(`ID`) FROM `[db_prefix]_main` WHERE `Status`=''passive''', 'rss', @iStatSiteOrder);
-- update module version
UPDATE `sys_modules` SET `version` = '1.1.0' WHERE `uri` = 'custom_rss' AND `version` = '1.0.9';
|
/*
Warnings:
- You are about to drop the column `permissionsId` on the `users` table. All the data in the column will be lost.
*/
-- DropForeignKey
ALTER TABLE "users" DROP CONSTRAINT "users_permissionsId_fkey";
-- AlterTable
ALTER TABLE "users" DROP COLUMN "permissionsId",
ADD COLUMN "type" TEXT;
-- AddForeignKey
ALTER TABLE "users" ADD CONSTRAINT "users_type_fkey" FOREIGN KEY ("type") REFERENCES "permissions"("id") ON DELETE SET NULL ON UPDATE CASCADE;
|
-- Some exercises about concepts of episode 02
-- Ex.1: Faça uma query que apresente o tamanho médio, máximo e mínimo da descrição do objeto por categoria.
SELECT product_category_name
, AVG (product_description_lenght) as media_descricao
, MAX (product_description_lenght) as max_descricao
, MIN (product_description_lenght) as min_descricao
FROM tb_products
GROUP BY product_category_name;
-- Ex.2: Faça uma query que apresente o tamanho médio, máximo e mínimo do nome do objeto por categoria.
SELECT product_category_name
, AVG(product_name_lenght) as media_nome
, MAX(product_name_lenght) as max_nome
, MIN(product_namen_lenght) as min_nome
FROM tb_products
-- Ex.3: Faça uma query que apresente o tamanho médio, máximo e mínimo do nome de objeto por categoria.
-- Considere apenas os objetos que tenham descrição maior que 50.
SELECT product_category_name
, AVG(product_name_lenght) as media_nome
, MAX(product_name_lenght) as max_nome
, MIN(product_namen_lenght) as min_nome
FROM tb_products
WHERE product_description_lenght > 50
GROUP BY product_category_name
-- Ex.4: Faça uma query que apresente o tamanho médio, máximo e mínimo do nome de objeto por categoria.
-- Considere apenas os objetos que tenham descrição maior que 50. Exiba apenas as categorias com tamanho
-- médio de descrição do objeto com mais de 100 caracteres
|
CREATE TABLE Directors
(
Id INT IDENTITY
CONSTRAINT PK__Director_Id
PRIMARY KEY (Id),
DirectorName NVARCHAR(200) NOT NULL,
Notes NVARCHAR(MAX)
)
CREATE TABLE Genres
(
Id INT IDENTITY
CONSTRAINT PK__Genre_Id
PRIMARY KEY (Id),
GenreName NVARCHAR(50) NOT NULL,
Notes NVARCHAR(MAX)
)
CREATE TABLE Categories
(
Id INT IDENTITY
CONSTRAINT PK__Category_Id
PRIMARY KEY (Id),
CategoryName NVARCHAR(50) NOT NULL,
Notes NVARCHAR(MAX)
)
CREATE TABLE Movies
(
Id INT IDENTITY
CONSTRAINT PK__Movie_Id
PRIMARY KEY (Id),
Title NVARCHAR(100) NOT NULL
CONSTRAINT UQ__Title
UNIQUE (Title),
DirectorId INT NOT NULL
CONSTRAINT FK__DirectorId
FOREIGN KEY (DirectorId)
REFERENCES Directors(Id),
CopyrightYear SMALLINT NOT NULL
CONSTRAINT CK__CopyrightYear__Valid
CHECK (CopyrightYear >= 1900),
[Length] TIME(0) NOT NULL
CONSTRAINT CK__Length__Valid
CHECK ([Length] > '00:00:00'),
GenreId INT NOT NULL
CONSTRAINT FK__GenreId
FOREIGN KEY (GenreId)
REFERENCES Genres(Id),
CategoryId INT NOT NULL
CONSTRAINT FK__CategoryId
FOREIGN KEY (CategoryId)
REFERENCES Categories(Id),
Rating DECIMAL(2,1)
CONSTRAINT CK__Rating__Valid
CHECK (Rating >= 0 AND Rating <= 10)
CONSTRAINT DF__Rating__0
DEFAULT 0,
Notes NVARCHAR(MAX)
)
|
<reponame>BleuShan/todo-web
CREATE TABLE IF NOT EXISTS accounts (
id UUID DEFAULT uuid_generate_v4(),
handle TEXT UNIQUE NOT NULL,
first_name TEXT,
last_name TEXT,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
deleted_at TIMESTAMPTZ,
PRIMARY KEY (id)
);
CREATE TABLE IF NOT EXISTS accounts_emails (
id UUID DEFAULT uuid_generate_v4(),
account_id UUID,
email TEXT NOT NULL,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
deleted_at TIMESTAMPTZ,
PRIMARY KEY (id),
CONSTRAINT fk_accounts_emails_account_id FOREIGN KEY (account_id) REFERENCES accounts ON DELETE CASCADE
);
CREATE TABLE IF NOT EXISTS account_passwords (
id UUID DEFAULT uuid_generate_v4(),
account_id UUID,
password_hash TEXT NOT NULL,
created_at TIMESTAMPTZ NOT NULL DEFAULT NOW(),
deleted_at TIMESTAMPTZ,
PRIMARY KEY (id),
CONSTRAINT fk_account_passwords_account_id FOREIGN KEY (account_id) REFERENCES Accounts ON DELETE CASCADE
); |
SELECT
c.CustID AS ID
, c.CustNum
, ct.Name AS ContactName
, ct.EMailAddress
, ct.ContactTitle
, ct.PhoneNum
FROM
Erp.CustCnt ct with(nolock)
INNER JOIN Erp.Customer c with(nolock) ON
c.Company = ct.Company
AND c.CustNum = ct.CustNum
WHERE
--ct.EMailAddress = '<EMAIL>'
ct.EMailAddress = '{EmailAddress}'
AND c.Company = 'EPIC06' |
SELECT CAST(EXTRACT(YEAR FROM (cast("CommonGovernment_4"."signeddate" as DATE) + 3 * INTERVAL '1' MONTH)) AS BIGINT) AS "yr:signeddate:ok" FROM "CommonGovernment_4" GROUP BY "yr:signeddate:ok";
|
<filename>src/test/resources/sql/insert/f34e5c3b.sql<gh_stars>10-100
-- file:join.sql ln:593 expect:true
insert into xx values (2)
|
-- file:jsonb.sql ln:142 expect:true
SELECT test_json ->> 'field6' FROM test_jsonb WHERE json_type = 'object'
|
<reponame>myarist/Progate
-- dapatkan berapa kali penjualan terjadi untuk setiap harinya
SELECT purchased_at, COUNT(*) AS "penjualan"
FROM sales_records
GROUP BY purchased_at;
|
<filename>sick/sql/create_table.sql
create table doctor
(
id serial,
first_name varchar(20) not null,
last_name varchar(20) not null,
middle_name varchar(20) not null,
phone_number int not null
CHECK ( phone_number BETWEEN 1000000 AND 9999999),
date_of_birth timestamp not null,
price_per_consultation DECIMAL CHECK ( price_per_consultation > 0 ) not null,
identification_number nchar(14) UNIQUE not null,
create_date timestamp not null,
update_date timestamp not null,
constraint pk_doctor primary key (id)
);
create table illness
(
id serial,
name varchar(30) UNIQUE not null,
description varchar(250) not null,
chance_to_die int CHECK (chance_to_die BETWEEN 0 AND 100) not null,
create_date timestamp not null,
update_date timestamp not null,
constraint pk_illness primary key (id)
);
create table doctor_illness
(
id serial,
doctor_id int not null,
illness_id int not null,
constraint FK_patient foreign key (doctor_id) references doctor (id) on
delete cascade,
constraint FK_illness foreign key (illness_id) references illness (id) on delete cascade,
constraint pk_doctor_illness primary key (id)
);
create table users
(
id serial,
username VARCHAR(30) UNIQUE not null,
password VARCHAR(60) not null,
role int CHECK (role BETWEEN 0 AND 1) not null,
create_date timestamp not null,
update_date timestamp not null,
constraint pk_user primary key (id)
);
create table orders
(
id serial,
user_id int not null,
total_price decimal CHECK ( total_price > 0 ) not null,
create_date timestamp not null,
constraint pk_orders primary key (id),
constraint fk_order_user foreign key (user_id) references users (id) on
delete cascade
);
create table order_doctor
(
id serial,
doctor_id int not null,
order_id int not null,
constraint pk_order_doctor primary key (id),
constraint fk_order_order foreign key (doctor_id) references doctor (id) on
delete cascade,
constraint fk_order_doctor foreign key (order_id) references orders (id) on
delete cascade
) |
ALTER TABLE regmgr_attendee RENAME COLUMN ec_1_mobile TO ec_1_telephone2;
ALTER TABLE regmgr_attendee RENAME COLUMN ec_2_mobile TO ec_2_telephone2;
|
<filename>data/bio2rdf/query9/query9.schema.sql
DROP TABLE IF EXISTS "gene2go" CASCADE;CREATE TABLE gene2go(GeneID VARCHAR,GO_ID VARCHAR,Evidence VARCHAR,Category VARCHAR);ALTER TABLE "gene2go" ADD COLUMN go_term VARCHAR;UPDATE "gene2go" SET go_term=concat('http://purl.obolibrary.org/obo/',replace(go_id,':','_')); |
<reponame>PheMA/cql_engine
library ClinicalOperator version '1'
codesystem "LOINC": 'http://loinc.org'
valueset "Feeding Intention-Breast": '2.16.840.1.113762.1.4.1045.29'
context Patient
//CalculateAge
define CalculateAgeYears: CalculateAgeInYears(DateTime(2010, 1, 1))
define CalculateAgeMonths: CalculateAgeInMonths(DateTime(2010, 1, 1))
define CalculateAgeDays: CalculateAgeInDays(DateTime(2010, 1, 1))
define CalculateAgeHours: CalculateAgeInHours(DateTime(2010, 1, 1, 1))
define CalculateAgeMinutes: CalculateAgeInMinutes(DateTime(2010, 1, 1, 0, 0))
define CalculateAgeSeconds: CalculateAgeInSeconds(DateTime(2010, 1, 1, 0, 0, 0))
define CalculateAgeUncertain: CalculateAgeInMonths(DateTime(2010))
//CalculateAgeAt
define CalculateAgeAtYears: CalculateAgeInYearsAt(DateTime(2000, 1, 1), DateTime(2017, 1, 1))
define CalculateAgeAtMonths: CalculateAgeInMonthsAt(DateTime(2000, 1, 1), DateTime(2016, 6, 14))
define CalculateAgeAtDays: CalculateAgeInDaysAt(DateTime(2000, 1, 1), DateTime(2016, 7, 13))
define CalculateAgeAtHours: CalculateAgeInHoursAt(DateTime(2000, 1, 1, 0), DateTime(2016, 7, 13, 0))
define CalculateAgeAtMinutes: CalculateAgeInMinutesAt(DateTime(2000, 1, 1, 0, 0), DateTime(2016, 7, 13, 0, 0))
define CalculateAgeAtSeconds: CalculateAgeInSecondsAt(DateTime(2000, 1, 1, 0, 0, 0), DateTime(2016, 7, 13, 0, 0, 0))
define CalculateAgeAtUncertain: CalculateAgeInMonthsAt(DateTime(2000), DateTime(2016, 7, 14))
//Equal
define Code1:
Code {
system: 'http://loinc.org',
code: '01234-5',
version: '1.0',
display: 'Test code 1'
}
define Code2:
Code {
system: 'http://loinc.org',
code: '12345-6',
version: '1.0',
display: 'Test code 2'
}
define Code3:
Code {
system: 'http://loinc.org',
code: '23456-7',
version: '1.0',
display: 'Test code 3'
}
define Code4:
Code {
system: 'http://loinc.org',
code: '34567-8',
version: '1.0',
display: 'Test code 4'
}
define Code5:
Code {
system: 'http://loinc.org',
code: '34567-8',
display: 'Test code 4'
}
define Concept1:
Concept {
codes: { Code1, Code2 },
display: 'Test Concept 1'
}
define Concept2:
Concept {
codes: { Code3, Code4 },
display: 'Test Concept 2'
}
define Concept3:
Concept {
codes: { Code3, Code4 }
}
define Concept4:
Concept {
codes: { Code1, Code2, Code3, Code4 }
}
define C1:
Code {
code: 'ABC',
display: 'Code ABC',
system: 'http://example.com',
version: '2017-01'
}
define C2:
Code {
code: 'ABC',
display: 'Variant Description',
system: 'http://example.com',
version: '2017-05'
}
define DisplayTestCode1:
Code {
system: 'http://loinc.org',
code: '34567-8',
display: 'Display'
}
define DisplayTestCode2:
Code {
system: 'http://loinc.org',
code: '34567-8',
display: 'Not-Display'
}
define DisplayTestCode3:
Code {
system: 'http://loinc.org',
code: '34567-8'
}
define DisplayTestConceptWithDisplay:
Concept {
codes: { DisplayTestCode1, DisplayTestCode2 }
}
define DisplayTestConceptWithoutDisplay:
Concept {
codes: { DisplayTestCode3 }
}
define Issue70A: C1 = C2
define Issue70B: C1 ~ C2
define CodeEqualTrue: Code1 = Code1
define CodeEqualFalse: Code1 = Code2
define CodeEqualNullVersion: Code1 = Code5
define ConceptEqualTrue: Concept1 = Concept1
define ConceptEqualFalse: Concept1 = Concept2
define ConceptEqualNullDisplay: Concept1 = Concept3
define CodeEqualNull: Code1 = null
define ConceptEqualNull: Concept1 = null
//Equivalent
define CodeEquivalentTrue: Code1 ~ Code1
define CodeEquivalentFalse: Code1 ~ Code2
define ConceptEquivalentTrue: Concept1 ~ Concept1
define ConceptEquivalentFalse: Concept1 ~ Concept2
define ConceptEquivalentTrueDisplayMismatch: Concept2 ~ Concept3
define ConceptEquivalentTrueIntersection1And4: Concept1 ~ Concept4
define ConceptEquivalentTrueIntersection2And4: Concept2 ~ Concept4
define CodeEquivalentNull: Code1 ~ null
define ConceptEquivalentNull: Concept1 ~ null
define CodeToConceptEquivalentTrue: Concept1 ~ Code1
define CodeToConceptEquivalentFalse: Concept1 ~ Code3
define ConceptToConceptMismatchedDisplayTrue: DisplayTestConceptWithDisplay ~ DisplayTestConceptWithoutDisplay
|
<gh_stars>0
USE dashboards;
DROP EVENT IF EXISTS `runReportGeneratorEveryMinute`;
DELIMITER //
CREATE EVENT `runReportGeneratorEveryMinute`
ON SCHEDULE EVERY 1 MINUTE STARTS '2020-10-01 00:00:00'
ON COMPLETION PRESERVE
DO BEGIN
-- add schema name in <schema name>
CALL processReportQueue('<schema name>', FALSE);
END //
DELIMITER ; |
SELECT 'Upgrading MetaStore schema from 1.1.0-cdh5.12.0 to 1.1.0-cdh5.16.0';
\i 040-HIVE-19372.postgres.sql;
\i 041-HIVE-19605.postgres.sql;
UPDATE "VERSION" SET "SCHEMA_VERSION"='1.1.0', "VERSION_COMMENT"='Hive release version 1.1.0', "SCHEMA_VERSION_V2"='1.1.0-cdh5.16.0' where "VER_ID"=1;
SELECT 'Finished upgrading MetaStore schema from 1.1.0-cdh5.12.0 to 1.1.0-cdh5.16.0';
|
-- Remove plugin_data table
DROP TABLE IF EXISTS fledge.plugin_data;
|
<filename>src/test/resources/sink/init_jdbcdbdriver_mysql.sql<gh_stars>1-10
create table nested_set_sync_log_offset(
log_table_name VARCHAR(256),
log_table_offset bigint not null,
primary key (log_table_name)
); |
<filename>mysql/projects/wip/ddl/user.sql
-- =================== --
-- Create Users --
-- =================== --
CREATE USER wipAdmin identified by 'w1pAdm1n';
CREATE USER wipApp identified by 'w1pApp';
CREATE USER wipRead identified by 'wipRead';
|
<gh_stars>0
-- @testpoint:opengauss关键字sequences(非保留)，作为表空间名
--关键字不带引号，创建成功
drop tablespace if exists sequences;
CREATE TABLESPACE sequences RELATIVE LOCATION 'hdfs_tablespace/hdfs_tablespace_1';
drop tablespace sequences;
--关键字带双引号，创建成功
drop tablespace if exists "sequences";
CREATE TABLESPACE "sequences" RELATIVE LOCATION 'hdfs_tablespace/hdfs_tablespace_1';
drop tablespace "sequences";
--关键字带单引号，合理报错
drop tablespace if exists 'sequences';
CREATE TABLESPACE 'sequences' RELATIVE LOCATION 'hdfs_tablespace/hdfs_tablespace_1';
--关键字带反引号，合理报错
drop tablespace if exists `sequences`;
CREATE TABLESPACE `sequences` RELATIVE LOCATION 'hdfs_tablespace/hdfs_tablespace_1';
|
<filename>DB/script final.sql<gh_stars>0
-- phpMyAdmin SQL Dump
-- version 4.7.1
-- https://www.phpmyadmin.net/
--
-- Host: sql10.freesqldatabase.com
-- Tempo de geração: 23/05/2018 às 19:34
-- Versão do servidor: 5.5.58-0ubuntu0.14.04.1
-- Versão do PHP: 7.0.30-0ubuntu0.16.04.1
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET AUTOCOMMIT = 0;
START TRANSACTION;
create database sql10232285;
use sql10232285;
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 */;
--
-- Banco de dados: `sql10232285`
--
DELIMITER $$
--
-- Procedimentos
--
CREATE PROCEDURE `proc_AttHorario` (IN `DiadaSemana` VARCHAR(25), IN `Serie` VARCHAR(25), IN `Aula` INT, IN `Disciplina` VARCHAR(25), IN `Professor` INT) Begin
Declare CodigoH, CodigoD, CodigoS, CodigoDia int;
select func_DiadaSemana(DiadaSemana) into CodigoDia;
select concat(a.Serie_INT_Codigo, CodigoDia, Aula) into CodigoH from pcc_tb_serie a where
a.Serie_st_descricao = Serie;
select a.disc_int_codigo into CodigoD from pcc_tb_disciplina a where a.Disc_ST_Descricao = Disciplina;
select Serie_INT_Codigo into CodigoS from pcc_tb_serie where Serie_ST_Descricao = Serie;
update pcc_tb_horario set Pro_INT_Codigo = Professor, Disc_INT_Codigo = CodigoD where Hor_INT_Codigo = CodigoH;
END$$
CREATE PROCEDURE `proc_DelChamada` () Begin
delete from pcc_tb_listachamada;
delete from pcc_tb_situacaolista;
END$$
CREATE PROCEDURE `proc_NovasListas` () Begin
Declare i int;
set i =1;
while i<=12 do
insert into pcc_tb_situacaolista values (i, 'Fechada', i);
set i = i+1;
END While;
END$$
CREATE PROCEDURE `proc_CadastraAlunoSerie` (`CodAluno` INT, `Serie` VARCHAR(25)) Begin
Declare CodigoS int;
select a.Serie_INT_Codigo into CodigoS from pcc_tb_serie a where a.Serie_ST_Descricao = Serie;
insert into pcc_tb_aluno_serie(ano_int_codigo, aluno_int_codigo) values(CodigoS, CodAluno);
End$$
CREATE PROCEDURE `proc_CadHorario` (IN `DiadaSemana` VARCHAR(25), IN `Serie` VARCHAR(25), IN `Aula` VARCHAR(1), IN `Disciplina` VARCHAR(25), IN `Professor` INT) Begin
Declare CodigoH, CodigoD, CodigoS, CodigoDia int;
select func_DiadaSemana(DiadaSemana) into CodigoDia;
select concat(a.Serie_INT_Codigo, CodigoDia, Aula) into CodigoH from pcc_tb_serie a where
a.Serie_st_descricao = Serie;
select a.disc_int_codigo into CodigoD from pcc_tb_disciplina a where a.Disc_ST_Descricao = Disciplina;
select Serie_INT_Codigo into CodigoS from pcc_tb_serie where Serie_ST_Descricao = Serie;
insert into pcc_tb_horario(hor_int_codigo, Hor_st_DiaDaSemana, Hor_int_Aula, Disc_int_Codigo, Serie_int_codigo, Pro_int_codigo) values
(CodigoH, DiadaSemana, Aula, CodigoD, CodigoS, Professor);
END$$
CREATE PROCEDURE `proc_CadResponsavel` (IN `CodR` INT, IN `CodAluno` INT, IN `DescResp` VARCHAR(45)) begin
declare maximo, qtd int;
select count(*) into qtd from pcc_tb_responsavel a, pcc_tb_pessoas b where a.Alu_INT_Codigo = b.Pess_inT_codigo and b.Pess_INT_Codigo = CodAluno;
select max(a.Res_INT_Codigo) into maximo from pcc_tb_responsavel a, pcc_tb_pessoas b where a.Alu_INT_Codigo = b.Pess_inT_codigo and b.Pess_INT_Codigo = CodAluno;
if (qtd = 0) then
set maximo = 1;
else
set maximo= maximo+1;
end if;
insert into pcc_tb_responsavel(res_int_codigo, alu_int_codigo, resp_int_codigo , res_st_descrição ) values (maximo, CodAluno, CodR, DescResp);
END$$
CREATE PROCEDURE `proc_CadTelefone` (IN `Codigo` INT, IN `Telefone` VARCHAR(20), IN `DescricaoTel` VARCHAR(45)) begin
Declare CodTel int;
declare maximo, qtd int;
set CodTel = Codigo;
select count(*) into qtd from pcc_tb_telefone a, pcc_tb_pessoas b where a.Pess_inT_codigo = b.Pess_inT_codigo and b.Pess_INT_Codigo = CodTel;
select max(tel_int_codigo) into maximo from pcc_tb_telefone a, pcc_tb_pessoas b where a.Pess_inT_codigo = b.Pess_inT_codigo and b.Pess_INT_Codigo = CodTel;
if (qtd = 0) then
set maximo = 1;
else
set maximo= maximo+1;
end if;
insert into pcc_tb_telefone(tel_int_codigo, tel_st_numero, tel_st_descricao, Pess_int_codigo ) values (maximo, Telefone, DescricaoTel, CodTel);
END$$
CREATE PROCEDURE `proc_Frequencia` (`ra` INT, `disc` INT) BEGIN
declare aula, presenca, falta int;
declare porc float;
declare freq varchar(5);
declare materia varchar(20);
select count(*) into aula from pcc_tb_listachamada a, pcc_tb_horario b, pcc_tb_disciplina c where a.Aluno_INT_Codigo = ra and a.Hor_INT_Codigo = b.Hor_INT_Codigo and b.Disc_INT_Codigo = c.Disc_INT_Codigo and c.Disc_INT_Codigo = disc;
select Disc_ST_Descricao into materia from pcc_tb_disciplina where Disc_INT_Codigo = disc;
select count(*) into presenca from pcc_tb_listachamada a, pcc_tb_horario b, pcc_tb_disciplina c where a.Aluno_INT_Codigo = ra and a.Hor_INT_Codigo = b.Hor_INT_Codigo and b.Disc_INT_Codigo = c.Disc_INT_Codigo and c.Disc_INT_Codigo = disc and a.Lista_ST_SituacaoAluno = 'Presente';
select count(*) into falta from pcc_tb_listachamada a, pcc_tb_horario b, pcc_tb_disciplina c where a.Aluno_INT_Codigo = ra and a.Hor_INT_Codigo = b.Hor_INT_Codigo and b.Disc_INT_Codigo = c.Disc_INT_Codigo and c.Disc_INT_Codigo = disc and a.Lista_ST_SituacaoAluno = 'falta';
set porc = (presenca/aula)*100;
set freq = concat(porc, "%");
select materia as 'Matéria', aula as 'Quantidade de Aulas', presenca as 'Quantidade de Presenças', falta as 'Quantidade de Faltas', freq as 'Percentual de Frequência';
END$$
CREATE PROCEDURE `proc_ListaDeChamada` (`Aula` INT, `Serie` VARCHAR(20), `Professor` INT, `DataChamada` DATE, `Disciplina` VARCHAR(45)) BEGIN
select a.Pess_INT_Codigo, a.Pess_ST_Nome, b.Lista_ST_SituacaoAluno from pcc_tb_listachamada b, pcc_tb_pessoas a
where Hor_INT_Codigo = (select Hor_INT_Codigo from pcc_tb_horario where Pro_INT_Codigo = Professor and Disc_INT_Codigo = (
select Disc_INT_Codigo from pcc_tb_disciplina where Disc_ST_Descricao = disciplina) and Hor_INT_Aula = Aula and
Serie_INT_Codigo = (select Serie_INT_Codigo from pcc_tb_serie where Serie_ST_Descricao = Serie))
and Lista_DT_Data like '%DataChamada%' and a.Pess_INT_Codigo = b.Aluno_INT_Codigo;
End$$
CREATE PROCEDURE `proc_SelecionaDisciplina` (`RA` INT) BEGIN
select a.Disc_ST_Descricao from pcc_tb_disciplina a, pcc_tb_pessoas b, pcc_tb_aluno_serie c, pcc_tb_horario d, pcc_tb_serie e where
b.pess_int_codigo = c.aluno_int_codigo and c.ano_int_codigo = e.serie_int_codigo and
e.serie_int_codigo = d.serie_int_codigo and b.Pess_INT_Codigo = RA;
END$$
--
-- Funções
--
CREATE FUNCTION `func_aula` (`hora` TIME) RETURNS INT(11) BEGIN
if (DATE_FORMAT(hora,'%H:%i:%S')>= '07:30:00' && DATE_FORMAT(hora,'%H:%i:%S')< '08:20:00') then
return 1;
END IF;
if (DATE_FORMAT(hora,'%H:%i:%S')>= '08:20:00' && DATE_FORMAT(hora,'%H:%i:%S')< '09:10:00') then
return 2;
END IF;
if (DATE_FORMAT(hora,'%H:%i:%S')>= '09:10:00' && DATE_FORMAT(hora,'%H:%i:%S')< '10:00:00') then
return 3;
END IF;
if (DATE_FORMAT(hora,'%H:%i:%S')>= '10:20:00' && DATE_FORMAT(hora,'%H:%i:%S')< '11:10:00') then
return 4;
END IF;
if (DATE_FORMAT(hora,'%H:%i:%S')>= '11:10:00' && DATE_FORMAT(hora,'%H:%i:%S')< '12:00:00') then
return 5;
END IF;
END$$
CREATE FUNCTION `func_DiadaSemana` (`Dia` VARCHAR(20)) RETURNS INT(11) Begin
Declare D int;
if(Dia = 'Segunda') then
set D = 1;
end if;
if(Dia = 'Terça') then
set D = 2;
end if;
if(Dia = 'Quarta') then
set D = 3;
end if;
if(Dia = 'Quinta') then
set D = 4;
end if;
if(Dia = 'Sexta') then
set D = 5;
end if;
return D;
END$$
CREATE FUNCTION `func_nomeDia` (`Dia` VARCHAR(20)) RETURNS VARCHAR(20) CHARSET latin1 Begin
Declare nome_dia varchar(20);
Declare nome_final varchar(20);
select dayname(Dia) into nome_dia;
if(nome_dia = 'Monday') then
set nome_final = 'Segunda';
end if;
if(nome_dia = 'Tuesday') then
set nome_final = 'Terça';
end if;
if(nome_dia = 'Wednesday') then
set nome_final = 'Quarta';
end if;
if(nome_dia = 'Thursday') then
set nome_final = 'Quinta';
end if;
if(nome_dia = 'Friday') then
set nome_final = 'Sexta';
end if;
if(nome_dia = 'Saturday') then
set nome_final = 'Sábado';
end if;
if(nome_dia = 'Sunday') then
set nome_final = 'Domingo';
end if;
return nome_final;
END$$
DELIMITER ;
-- --------------------------------------------------------
--
-- Estrutura para tabela `pcc_tb_aluno_serie`
--
CREATE TABLE `pcc_tb_aluno_serie` (
`Ano_INT_Codigo` int(11) NOT NULL,
`Aluno_INT_Codigo` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Fazendo dump de dados para tabela `pcc_tb_aluno_serie`
--
INSERT INTO `pcc_tb_aluno_serie` (`Ano_INT_Codigo`, `Aluno_INT_Codigo`) VALUES
(1, 35),
(1, 36),
(1, 37),
(1, 38),
(1, 39),
(1, 40),
(1, 41),
(1, 42),
(1, 43),
(1, 44),
(2, 55),
(2, 56),
(2, 57),
(2, 58),
(2, 59),
(2, 60),
(2, 61),
(2, 62),
(2, 63),
(2, 64),
(2, 275),
(3, 75),
(3, 76),
(3, 77),
(3, 78),
(3, 79),
(3, 80),
(3, 81),
(3, 82),
(3, 83),
(3, 84),
(4, 95),
(4, 96),
(4, 97),
(4, 98),
(4, 99),
(4, 100),
(4, 101),
(4, 102),
(4, 103),
(4, 104),
(5, 115),
(5, 116),
(5, 117),
(5, 118),
(5, 119),
(5, 120),
(5, 121),
(5, 122),
(5, 123),
(5, 124),
(6, 135),
(6, 136),
(6, 137),
(6, 138),
(6, 139),
(6, 140),
(6, 141),
(6, 142),
(6, 143),
(6, 144),
(7, 155),
(7, 156),
(7, 157),
(7, 158),
(7, 159),
(7, 160),
(7, 161),
(7, 162),
(7, 163),
(7, 164),
(7, 276),
(8, 175),
(8, 176),
(8, 177),
(8, 178),
(8, 179),
(8, 180),
(8, 181),
(8, 182),
(8, 183),
(8, 184),
(9, 195),
(9, 196),
(9, 197),
(9, 198),
(9, 199),
(9, 200),
(9, 201),
(9, 202),
(9, 203),
(9, 204),
(10, 215),
(10, 216),
(10, 217),
(10, 218),
(10, 219),
(10, 220),
(10, 221),
(10, 222),
(10, 223),
(10, 224),
(11, 255),
(11, 256),
(11, 257),
(11, 258),
(11, 259),
(11, 260),
(11, 261),
(11, 262),
(11, 263),
(11, 264),
(12, 13),
(12, 14),
(12, 15),
(12, 16),
(12, 17),
(12, 18),
(12, 19),
(12, 20);
-- --------------------------------------------------------
--
-- Estrutura para tabela `pcc_tb_disciplina`
--
CREATE TABLE `pcc_tb_disciplina` (
`Disc_INT_Codigo` int(11) NOT NULL,
`Disc_ST_Descricao` varchar(45) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Fazendo dump de dados para tabela `pcc_tb_disciplina`
--
INSERT INTO `pcc_tb_disciplina` (`Disc_INT_Codigo`, `Disc_ST_Descricao`) VALUES
(1, 'Matemática'),
(2, 'Português'),
(3, 'Biologia'),
(4, 'Química'),
(5, 'História'),
(6, 'Ciências'),
(7, 'Sociologia'),
(8, 'Filosofia'),
(9, 'Artes'),
(10, 'Educação Física'),
(11, 'Física'),
(12, 'Inglês'),
(13, 'Espanhol');
-- --------------------------------------------------------
--
-- Estrutura para tabela `pcc_tb_horario`
--
CREATE TABLE `pcc_tb_horario` (
`Hor_INT_Codigo` int(11) NOT NULL,
`Hor_ST_DiaDaSemana` varchar(20) NOT NULL,
`Hor_INT_Aula` int(11) NOT NULL,
`Disc_INT_Codigo` int(11) NOT NULL,
`Serie_INT_Codigo` int(11) NOT NULL,
`Pro_INT_Codigo` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Fazendo dump de dados para tabela `pcc_tb_horario`
--
INSERT INTO `pcc_tb_horario` (`Hor_INT_Codigo`, `Hor_ST_DiaDaSemana`, `Hor_INT_Aula`, `Disc_INT_Codigo`, `Serie_INT_Codigo`, `Pro_INT_Codigo`) VALUES
(611, 'Segunda', 1, 5, 6, 9),
(612, 'Segunda', 2, 1, 6, 1),
(613, 'Segunda', 3, 2, 6, 2),
(614, 'Segunda', 4, 3, 6, 4),
(615, 'Segunda', 5, 7, 6, 7),
(1211, 'Segunda', 1, 1, 12, 1),
(1212, 'Segunda', 2, 1, 12, 1),
(1213, 'Segunda', 3, 1, 12, 1),
(1214, 'Segunda', 4, 2, 12, 2),
(1215, 'Segunda', 5, 2, 12, 2),
(1221, 'Terça', 1, 2, 12, 2),
(1222, 'Terça', 2, 3, 12, 3),
(1223, 'Terça', 3, 3, 12, 3),
(1224, 'Terça', 4, 4, 12, 4),
(1225, 'Terça', 5, 4, 12, 4),
(1231, 'Quarta', 1, 5, 12, 5),
(1232, 'Quarta', 2, 5, 12, 5),
(1233, 'Quarta', 3, 6, 12, 6),
(1234, 'Quarta', 4, 6, 12, 6),
(1235, 'Quarta', 5, 7, 12, 7),
(1241, 'Quinta', 1, 7, 12, 7),
(1242, 'Quinta', 2, 8, 12, 8),
(1243, 'Quinta', 3, 8, 12, 8),
(1244, 'Quinta', 4, 9, 12, 9),
(1245, 'Quinta', 5, 9, 12, 9),
(1251, 'Sexta', 1, 10, 12, 10),
(1252, 'Sexta', 2, 10, 12, 10),
(1253, 'Sexta', 3, 11, 12, 11),
(1254, 'Sexta', 4, 11, 12, 11),
(1255, 'Sexta', 5, 12, 12, 12);
-- --------------------------------------------------------
--
-- Estrutura para tabela `pcc_tb_listachamada`
--
CREATE TABLE `pcc_tb_listachamada` (
`Lista_INT_Codigo` int(11) NOT NULL,
`Lista_ST_SituacaoAluno` varchar(45) NOT NULL,
`Lista_DT_Data` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`Aluno_INT_Codigo` int(11) NOT NULL,
`Hor_INT_Codigo` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Estrutura para tabela `pcc_tb_pessoas`
--
CREATE TABLE `pcc_tb_pessoas` (
`Pess_INT_Codigo` int(11) NOT NULL,
`Pess_ST_Nome` varchar(45) NOT NULL,
`Pess_ST_Rua` varchar(45) NOT NULL,
`Pess_ST_Numero` varchar(45) NOT NULL,
`Pess_ST_Complemento` varchar(45) DEFAULT NULL,
`Pess_ST_Bairro` varchar(45) NOT NULL,
`Pess_ST_Cidade` varchar(45) NOT NULL,
`Pess_ST_UF` varchar(2) NOT NULL,
`Pess_ST_DataNasc` varchar(10) NOT NULL,
`Pess_ST_Rg` varchar(15) NOT NULL,
`Pess_ST_CPF` varchar(20) NOT NULL,
`Pess_ST_Tipo` varchar(45) NOT NULL,
`Pess_ST_Email` varchar(45) DEFAULT NULL,
`Pess_ST_Senha` varchar(45) DEFAULT NULL,
`Pess_ST_Situacao` varchar(45) NOT NULL,
`Pess_INT_CEP` int(11) NOT NULL,
`Pess_JPG_Foto` varchar(45) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Fazendo dump de dados para tabela `pcc_tb_pessoas`
--
INSERT INTO `pcc_tb_pessoas` (`Pess_INT_Codigo`, `Pess_ST_Nome`, `Pess_ST_Rua`, `Pess_ST_Numero`, `Pess_ST_Complemento`, `Pess_ST_Bairro`, `Pess_ST_Cidade`, `Pess_ST_UF`, `Pess_ST_DataNasc`, `Pess_ST_Rg`, `Pess_ST_CPF`, `Pess_ST_Tipo`, `Pess_ST_Email`, `Pess_ST_Senha`, `Pess_ST_Situacao`, `Pess_INT_CEP`, `Pess_JPG_Foto`) VALUES
(1, '<NAME>', 'Rua 1', '165', '0', 'Centro', 'Extrema', 'MG', '01/01/1969', '0', '0', 'Professor', NULL, NULL, 'Ativado', 0, NULL),
(2, '<NAME>', 'Rua 2', '53', '0', 'Centro', 'Extrema', 'MG', '01/01/1969', '0', '0', 'Professor', NULL, NULL, 'Ativado', 0, NULL),
(3, '<NAME>', 'Rua 3', '198', '0', 'Centro', 'Extrema', 'MG', '01/01/1969', '0', '0', 'Professor', NULL, NULL, 'Ativado', 0, NULL),
(4, '<NAME>', 'Rua 4', '43', '0', 'Centro', 'Extrema', 'MG', '01/01/1969', '0', '0', 'Professor', NULL, NULL, 'Ativado', 0, NULL),
(5, '<NAME>', 'Rua 5', '15', '0', 'Centro', 'Extrema', 'MG', '01/01/1969', '0', '0', 'Professor', NULL, NULL, 'Ativado', 0, NULL),
(6, '<NAME>', 'Rua 6', '168', '0', 'Centro', 'Extrema', 'MG', '01/01/1969', '0', '0', 'Professor', NULL, NULL, 'Ativado', 0, NULL),
(7, '<NAME>', 'Rua 7', '34', '0', 'Centro', 'Extrema', 'MG', '01/01/1969', '0', '0', 'Professor', NULL, NULL, 'Ativado', 0, NULL),
(8, '<NAME>', 'Rua 8', '125', '0', 'Centro', 'Extrema', 'MG', '01/01/1969', '0', '0', 'Professor', NULL, NULL, 'Ativado', 0, NULL),
(9, '<NAME>', 'Rua 9', '87', '0', 'Centro', 'Extrema', 'MG', '01/01/1969', '0', '0', 'Professor', NULL, NULL, 'Ativado', 0, NULL),
(10, '<NAME>', 'Rua 10', '28', '0', 'Centro', 'Extrema', 'MG', '01/01/1969', '0', '0', 'Professor', NULL, NULL, 'Ativado', 0, NULL),
(11, '<NAME>', 'Rua 11', '29', '0', 'Centro', 'Extrema', 'MG', '01/01/1969', '0', '0', 'Professor', NULL, NULL, 'Ativado', 0, NULL),
(12, '<NAME>', 'Rua 12', '75', '0', 'Centro', 'Extrema', 'MG', '01/01/1969', '0', '0', 'Professor', NULL, NULL, 'Ativado', 0, NULL),
(13, '<NAME>', '1', '1', '1', '1', '1', '1', '1', '1', '1', 'Aluno', NULL, NULL, 'Ativado', 0, NULL),
(14, '<NAME>', 'Rua Limoeiro', '135', '', 'Centro', 'Bragança Paulista', '1', '1', '1', '1', 'Aluno', '<EMAIL>', NULL, 'Ativado', 0, NULL),
(15, '<NAME>', 'Rua Limoeiro', '135', '', 'Centro', 'Bragança Paulista', '1', '1', '1', '1', 'Aluno', '<EMAIL>', NULL, 'Ativado', 0, NULL),
(16, '<NAME>', '1', '1', '1', '1', '1', '1', '1', '1', '1', 'Aluno', NULL, NULL, 'Ativado', 0, NULL),
(17, '<NAME>', '1', '1', '1', '1', '1', '1', '1', '1', '1', 'Aluno', NULL, NULL, 'Ativado', 0, NULL),
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(64, '<NAME>', 'Rua <NAME>', '20', '', 'Centro', 'Extrema', 'MG', '19/05/1984', '1544341', '12354190905', 'Aluno', '', '', 'Ativado', 0, ''),
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(96, '<NAME>', '<NAME>', '32', '', 'Centro', 'Extrema', 'MG', '11/05/1982', '1544373', '12354190937', 'Aluno', '', '', 'Ativado', 0, ''),
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(116, '<NAME>', '<NAME>', '42', '', 'Centro', 'Extrema', 'MG', '11/05/1981', '1544393', '12354190957', 'Aluno', '', '', 'Ativado', 0, ''),
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(265, '<NAME>', 'Rua <NAME>', '101', '', 'Centro', 'Extrema', 'MG', '20/05/2002', '1544522', '12354191086', 'Responsável', '<EMAIL>', 'senha', 'Ativado', 0, 'id_h6'),
(266, '<NAME>', 'Rua Pad<NAME>', '102', '', 'Centro', 'Extrema', 'MG', '21/05/2002', '1544523', '12354191087', 'Responsável', '<EMAIL>', 'senha', 'Ativado', 0, 'id_m4'),
(267, '<NAME>', 'Rua Capitão Germano', '103', '', 'Centro', 'Extrema', 'MG', '22/05/2002', '1544524', '12354191088', 'Responsável', '<EMAIL>', 'senha', 'Ativado', 0, 'id_m2'),
(268, '<NAME>', 'Rua Nenê', '104', '', 'Centro', 'Extrema', 'MG', '23/05/2002', '1544525', '12354191089', 'Responsável', '<EMAIL>', 'senha', 'Ativado', 0, 'id_m1'),
(269, '<NAME>', 'Rua <NAME>', '105', '', 'Centro', 'Extrema', 'MG', '24/05/2002', '1544526', '12354191090', 'Responsável', '<EMAIL>', 'senha', 'Ativado', 0, 'id_m3'),
(270, '<NAME>', 'R<NAME>', '106', '', 'Centro', 'Extrema', 'MG', '25/05/2002', '1544527', '12354191091', 'Responsável', '<EMAIL>', 'senha', 'Ativado', 0, 'id_m4'),
(271, '<NAME>', 'Rua Lambari', '107', '', 'Centro', 'Extrema', 'MG', '26/05/2002', '1544528', '12354191092', 'Responsável', '<EMAIL>', 'senha', 'Ativado', 0, 'id_h4'),
(272, '<NAME>', 'Rua Bragança', '108', '', 'Centro', 'Extrema', 'MG', '27/05/2002', '1544529', '12354191093', 'Responsável', '<EMAIL>', 'senha', 'Ativado', 0, 'id_m2'),
(273, '<NAME>', '<NAME>', '109', '', 'Centro', 'Extrema', 'MG', '28/05/2002', '1544530', '12354191094', 'Responsável', '<EMAIL>', 'senha', 'Ativado', 0, 'id_m2'),
(274, '<NAME>', 'Rua <NAME>', '110', '', 'Centro', 'Extrema', 'MG', '29/05/2002', '1544531', '12354191095', 'Responsável', '<EMAIL>', 'senha', 'Ativado', 0, 'id_h5'),
(275, '<NAME>', 'Avenida valetim del nero', '489', '', 'Centro', 'Piracaia', 'SP', '05/06/1992', '45.687.978-97', '213.312.123-12', 'Aluno', '<EMAIL>', '123456', 'Ativado', 0, 'null'),
(276, '<NAME>', 'RUA VINÍCIUS DE MORAES', '187', '', 'LOTEAMENTO JARDIM MORUMBI', 'ATIBAIA', 'SP', '10/03/1997', '78.945.646-54', '465.456.465-46', 'Aluno', '<EMAIL>', '147852369', 'Desativado', 0, 'null'),
(277, '<NAME>', 'RUA ANITA GUASTINI EIRAS', '412', '3 ANDAR', 'VILA MARIANA', 'SÃO PAULO', 'SP', '10/04/1990', '14.785.236-90', '147.852.369-00', 'Responsável', '<EMAIL>', '123456', 'Ativado', 4105070, 'null');
-- --------------------------------------------------------
--
-- Estrutura para tabela `pcc_tb_responsavel`
--
CREATE TABLE `pcc_tb_responsavel` (
`Res_INT_Codigo` int(11) NOT NULL,
`Alu_INT_Codigo` int(11) NOT NULL,
`Resp_INT_Codigo` int(11) NOT NULL,
`Res_ST_Descrição` varchar(45) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Fazendo dump de dados para tabela `pcc_tb_responsavel`
--
INSERT INTO `pcc_tb_responsavel` (`Res_INT_Codigo`, `Alu_INT_Codigo`, `Resp_INT_Codigo`, `Res_ST_Descrição`) VALUES
(1, 13, 21, 'Pai'),
(1, 14, 22, 'Pai'),
(1, 15, 22, 'Pai'),
(1, 16, 24, 'Mãe'),
(1, 17, 25, 'Mãe'),
(1, 18, 26, 'Pai'),
(1, 19, 27, 'Pai'),
(1, 20, 28, 'Pai'),
(1, 24, 277, 'Pai'),
(1, 35, 45, 'Pai'),
(1, 36, 46, 'Mãe'),
(1, 37, 47, 'Mãe'),
(1, 38, 48, 'Mãe'),
(1, 39, 49, 'Mãe'),
(1, 40, 50, 'Pai'),
(1, 41, 51, 'Pai'),
(1, 42, 52, 'Mãe'),
(1, 43, 53, 'Pai'),
(1, 44, 54, 'Mãe'),
(1, 55, 65, 'Pai'),
(1, 56, 66, 'Mãe'),
(1, 57, 67, 'Mãe'),
(1, 58, 68, 'Mãe'),
(1, 59, 69, 'Pai'),
(1, 60, 70, 'Mãe'),
(1, 61, 71, 'Mãe'),
(1, 62, 72, 'Pai'),
(1, 63, 73, 'Mãe'),
(1, 64, 74, 'Mãe'),
(1, 75, 85, 'Mãe'),
(1, 76, 86, 'Mãe'),
(1, 77, 87, 'Mãe'),
(1, 78, 88, 'Pai'),
(1, 79, 89, 'Mãe'),
(1, 80, 90, 'Pai'),
(1, 81, 91, 'Mãe'),
(1, 82, 92, 'Mãe'),
(1, 83, 93, 'Pai'),
(1, 84, 94, 'Pai'),
(1, 95, 105, 'Mãe'),
(1, 96, 106, 'Pai'),
(1, 97, 107, 'Pai'),
(1, 98, 108, 'Pai'),
(1, 99, 109, 'Pai'),
(1, 100, 110, 'Pai'),
(1, 101, 111, 'Pai'),
(1, 102, 112, 'Pai'),
(1, 103, 113, 'Pai'),
(1, 104, 114, 'Mãe'),
(1, 115, 125, 'Mãe'),
(1, 116, 126, 'Mãe'),
(1, 117, 127, 'Mãe'),
(1, 118, 128, 'Pai'),
(1, 119, 129, 'Pai'),
(1, 120, 130, 'Pai'),
(1, 121, 131, 'Mãe'),
(1, 122, 132, 'Pai'),
(1, 123, 133, 'Mãe'),
(1, 124, 134, 'Pai'),
(1, 135, 145, 'Mãe'),
(1, 136, 146, 'Pai'),
(1, 137, 147, 'Pai'),
(1, 138, 148, 'Mãe'),
(1, 139, 149, 'Mãe'),
(1, 140, 150, 'Mãe'),
(1, 141, 151, 'Pai'),
(1, 142, 152, 'Pai'),
(1, 143, 153, 'Pai'),
(1, 144, 154, 'Mãe'),
(1, 155, 165, 'Pai'),
(1, 156, 166, 'Mãe'),
(1, 157, 167, 'Mãe'),
(1, 158, 168, 'Pai'),
(1, 159, 169, 'Mãe'),
(1, 160, 170, 'Pai'),
(1, 161, 171, 'Mãe'),
(1, 162, 172, 'Mãe'),
(1, 163, 173, 'Pai'),
(1, 164, 174, 'Mãe'),
(1, 175, 185, 'Mãe'),
(1, 176, 186, 'Pai'),
(1, 177, 187, 'Mãe'),
(1, 178, 188, 'Pai'),
(1, 179, 189, 'Mãe'),
(1, 180, 190, 'Pai'),
(1, 181, 191, 'Pai'),
(1, 182, 192, 'Mãe'),
(1, 183, 193, 'Mãe'),
(1, 184, 194, 'Mãe'),
(1, 195, 205, 'Pai'),
(1, 196, 206, 'Pai'),
(1, 197, 207, 'Pai'),
(1, 198, 208, 'Mãe'),
(1, 199, 209, 'Mãe'),
(1, 200, 210, 'Mãe'),
(1, 201, 211, 'Pai'),
(1, 202, 212, 'Mãe'),
(1, 203, 213, 'Mãe'),
(1, 204, 214, 'Mãe'),
(1, 215, 225, 'Mãe'),
(1, 216, 226, 'Pai'),
(1, 217, 227, 'Pai'),
(1, 218, 228, 'Mãe'),
(1, 219, 229, 'Pai'),
(1, 220, 230, 'Mãe'),
(1, 221, 231, 'Mãe'),
(1, 222, 232, 'Mãe'),
(1, 223, 233, 'Mãe'),
(1, 224, 234, 'Mãe'),
(1, 255, 265, 'Pai'),
(1, 256, 266, 'Mãe'),
(1, 257, 267, 'Mãe'),
(1, 258, 268, 'Mãe'),
(1, 259, 269, 'Mãe'),
(1, 260, 270, 'Mãe'),
(1, 261, 271, 'Pai'),
(1, 262, 272, 'Mãe'),
(1, 263, 273, 'Mãe'),
(1, 264, 274, 'Pai'),
(2, 14, 23, 'Mãe'),
(2, 15, 23, 'Mãe'),
(2, 16, 23, 'Tia');
-- --------------------------------------------------------
--
-- Estrutura para tabela `pcc_tb_retiradaaluno`
--
CREATE TABLE `pcc_tb_retiradaaluno` (
`Ret_INT_Codigo` int(11) NOT NULL,
`Res_INT_Codigo` int(11) NOT NULL,
`Alu_INT_Codigo` int(11) NOT NULL,
`Ret_DT_HoraRetirada` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Estrutura para tabela `pcc_tb_log`
--
CREATE TABLE `pcc_tb_log` (
`Log_INT_Codigo` int(11) NOT NULL,
`Pess_INT_Codigo` int(11) NOT NULL,
`Log_ST_Descricao`varchar(250) not null,
`Log_DT_Data` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Estrutura para tabela `pcc_tb_serie`
--
CREATE TABLE `pcc_tb_serie` (
`Serie_INT_Codigo` int(11) NOT NULL,
`Serie_ST_Descricao` varchar(45) NOT NULL,
`Serie_ST_Sala` varchar(10) NOT NULL,
`Serie_ST_Periodo` varchar(45) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Fazendo dump de dados para tabela `pcc_tb_serie`
--
INSERT INTO `pcc_tb_serie` (`Serie_INT_Codigo`, `Serie_ST_Descricao`, `Serie_ST_Sala`, `Serie_ST_Periodo`) VALUES
(1, '1º Ano', '1', 'Tarde'),
(2, '2º Ano', '2', 'Tarde'),
(3, '3º Ano', '3', 'Tarde'),
(4, '4º Ano', '4', 'Tarde'),
(5, '5º Ano', '5', 'Tarde'),
(6, '6º Ano', '6', 'Tarde'),
(7, '7º Ano', '1', 'Manhã'),
(8, '8º Ano', '2', 'Manhã'),
(9, '9º Ano', '3', 'Manhã'),
(10, 'Colegial 1', '4', 'Manhã'),
(11, 'Colegial 2', '5', 'Manhã'),
(12, 'Colegial 3', '6', 'Manhã');
-- --------------------------------------------------------
--
-- Estrutura para tabela `pcc_tb_situacaolista`
--
CREATE TABLE `pcc_tb_situacaolista` (
`Lista_INT_Codigo` int(11) NOT NULL,
`Lista_ST_Situação` varchar(45) DEFAULT NULL,
`Pro_INT_Codigo` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Fazendo dump de dados para tabela `pcc_tb_situacaolista`
--
INSERT INTO `pcc_tb_situacaolista` (`Lista_INT_Codigo`, `Lista_ST_Situação`, `Pro_INT_Codigo`) VALUES
(1, 'Fechada', 1),
(2, 'Fechada', 2),
(3, 'Fechada', 3),
(4, 'Fechada', 4),
(5, 'Fechada', 5),
(6, 'Fechada', 6),
(7, 'Fechada', 7),
(8, 'Fechada', 8),
(9, 'Fechada', 9),
(10, 'Fechada', 10),
(11, 'Fechada', 11),
(12, 'Fechada', 12);
-- --------------------------------------------------------
--
-- Estrutura para tabela `pcc_tb_telefone`
--
CREATE TABLE `pcc_tb_telefone` (
`Tel_INT_Codigo` int(11) NOT NULL,
`Tel_ST_Numero` varchar(45) NOT NULL,
`Tel_ST_Descricao` varchar(45) DEFAULT NULL,
`Pess_INT_Codigo` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Fazendo dump de dados para tabela `pcc_tb_telefone`
--
INSERT INTO `pcc_tb_telefone` (`Tel_INT_Codigo`, `Tel_ST_Numero`, `Tel_ST_Descricao`, `Pess_INT_Codigo`) VALUES
(1, '(35) 92312-3123', 'Celular', 20),
(1, '(11) 11111-1111', '111111111111', 25),
(1, '(35) 99304-7764', 'Celular', 35),
(1, '(35) 12299-0090', 'Casa', 89),
(1, '(11) 99567-9632', 'Celular', 276),
(2, '(11) 99783-3965', 'Casa', 35);
--
-- Índices de tabelas apagadas
--
--
-- Índices de tabela `pcc_tb_aluno_serie`
--
ALTER TABLE `pcc_tb_aluno_serie`
ADD PRIMARY KEY (`Aluno_INT_Codigo`),
ADD KEY `PCC_fk_Ano_idx` (`Ano_INT_Codigo`),
ADD KEY `PCC_fk_Estudante_idx` (`Aluno_INT_Codigo`);
--
-- Índices de tabela `pcc_tb_disciplina`
--
ALTER TABLE `pcc_tb_disciplina`
ADD PRIMARY KEY (`Disc_INT_Codigo`);
--
-- Índices de tabela `pcc_tb_horario`
--
ALTER TABLE `pcc_tb_horario`
ADD PRIMARY KEY (`Hor_INT_Codigo`),
ADD KEY `PCC_fk_Disc_idx` (`Disc_INT_Codigo`),
ADD KEY `PCC_fk_Serie_idx` (`Serie_INT_Codigo`),
ADD KEY `PCC_fk_Professor_idx` (`Pro_INT_Codigo`);
--
-- Índices de tabela `pcc_tb_listachamada`
--
ALTER TABLE `pcc_tb_listachamada`
ADD PRIMARY KEY (`Lista_INT_Codigo`,`Aluno_INT_Codigo`,`Hor_INT_Codigo`),
ADD KEY `PCC_fk_Horario_idx` (`Hor_INT_Codigo`),
ADD KEY `PCC_fk_Aluno_idx` (`Aluno_INT_Codigo`);
--
-- Índices de tabela `pcc_tb_pessoas`
--
ALTER TABLE `pcc_tb_pessoas`
ADD PRIMARY KEY (`Pess_INT_Codigo`);
--
-- Índices de tabela `pcc_tb_responsavel`
--
ALTER TABLE `pcc_tb_responsavel`
ADD PRIMARY KEY (`Res_INT_Codigo`,`Alu_INT_Codigo`),
ADD KEY `pcc_fk_respAluno_idx` (`Alu_INT_Codigo`,`Resp_INT_Codigo`);
--
-- Índices de tabela `pcc_tb_retiradaaluno`
--
ALTER TABLE `pcc_tb_retiradaaluno`
ADD PRIMARY KEY (`Ret_INT_Codigo`),
ADD KEY `PCC_FK_Responsavel_idx` (`Res_INT_Codigo`);
--
-- Índices de tabela `pcc_tb_log`
--
ALTER TABLE `pcc_tb_log`
ADD PRIMARY KEY (`Log_INT_Codigo`),
ADD KEY `PCC_FK_Funcionario_idx` (`Pess_INT_Codigo`);
--
-- Índices de tabela `pcc_tb_serie`
--
ALTER TABLE `pcc_tb_serie`
ADD PRIMARY KEY (`Serie_INT_Codigo`);
--
-- Índices de tabela `pcc_tb_situacaolista`
--
ALTER TABLE `pcc_tb_situacaolista`
ADD PRIMARY KEY (`Lista_INT_Codigo`),
ADD KEY `pcc_fk_prolista_idx` (`Pro_INT_Codigo`);
--
-- Índices de tabela `pcc_tb_telefone`
--
ALTER TABLE `pcc_tb_telefone`
ADD PRIMARY KEY (`Tel_INT_Codigo`,`Pess_INT_Codigo`),
ADD KEY `PCC_fk_PessoaTel_idx` (`Pess_INT_Codigo`);
--
-- AUTO_INCREMENT de tabelas apagadas
--
--
-- AUTO_INCREMENT de tabela `pcc_tb_disciplina`
--
ALTER TABLE `pcc_tb_disciplina`
MODIFY `Disc_INT_Codigo` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=14;
--
-- AUTO_INCREMENT de tabela `pcc_tb_pessoas`
--
ALTER TABLE `pcc_tb_pessoas`
MODIFY `Pess_INT_Codigo` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=278;
--
-- AUTO_INCREMENT de tabela `pcc_tb_retiradaaluno`
--
ALTER TABLE `pcc_tb_retiradaaluno`
MODIFY `Ret_INT_Codigo` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT de tabela `pcc_tb_log`
--
ALTER TABLE `pcc_tb_log`
MODIFY `Log_INT_Codigo` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=0;
--
-- AUTO_INCREMENT de tabela `pcc_tb_serie`
--
ALTER TABLE `pcc_tb_serie`
MODIFY `Serie_INT_Codigo` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=13;
--
-- AUTO_INCREMENT de tabela `pcc_tb_situacaolista`
--
ALTER TABLE `pcc_tb_situacaolista`
MODIFY `Lista_INT_Codigo` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=13;
--
-- AUTO_INCREMENT de tabela `pcc_tb_telefone`
--
ALTER TABLE `pcc_tb_telefone`
MODIFY `Tel_INT_Codigo` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- Restrições para dumps de tabelas
--
--
-- Restrições para tabelas `pcc_tb_aluno_serie`
--
ALTER TABLE `pcc_tb_aluno_serie`
ADD CONSTRAINT `PCC_fk_Ano` FOREIGN KEY (`Ano_INT_Codigo`) REFERENCES `pcc_tb_serie` (`Serie_INT_Codigo`) ON DELETE NO ACTION ON UPDATE NO ACTION,
ADD CONSTRAINT `PCC_fk_Estudante` FOREIGN KEY (`Aluno_INT_Codigo`) REFERENCES `pcc_tb_pessoas` (`Pess_INT_Codigo`) ON DELETE NO ACTION ON UPDATE NO ACTION;
--
-- Restrições para tabelas `pcc_tb_horario`
--
ALTER TABLE `pcc_tb_horario`
ADD CONSTRAINT `PCC_fk_Disc` FOREIGN KEY (`Disc_INT_Codigo`) REFERENCES `pcc_tb_disciplina` (`Disc_INT_Codigo`) ON DELETE NO ACTION ON UPDATE NO ACTION,
ADD CONSTRAINT `PCC_fk_Professor` FOREIGN KEY (`Pro_INT_Codigo`) REFERENCES `pcc_tb_pessoas` (`Pess_INT_Codigo`) ON DELETE NO ACTION ON UPDATE NO ACTION,
ADD CONSTRAINT `PCC_fk_Serie` FOREIGN KEY (`Serie_INT_Codigo`) REFERENCES `pcc_tb_serie` (`Serie_INT_Codigo`) ON DELETE NO ACTION ON UPDATE NO ACTION;
--
-- Restrições para tabelas `pcc_tb_listachamada`
--
ALTER TABLE `pcc_tb_listachamada`
ADD CONSTRAINT `PCC_fk_Lista` FOREIGN KEY (`Lista_INT_Codigo`) REFERENCES `pcc_tb_situacaolista` (`Lista_INT_Codigo`) ON DELETE NO ACTION ON UPDATE NO ACTION,
ADD CONSTRAINT `PCC_fk_Aluno` FOREIGN KEY (`Aluno_INT_Codigo`) REFERENCES `pcc_tb_aluno_serie` (`Aluno_INT_Codigo`) ON DELETE NO ACTION ON UPDATE NO ACTION,
ADD CONSTRAINT `PCC_fk_Horario` FOREIGN KEY (`Hor_INT_Codigo`) REFERENCES `pcc_tb_horario` (`Hor_INT_Codigo`) ON DELETE NO ACTION ON UPDATE NO ACTION;
--
-- Restrições para tabelas `pcc_tb_responsavel`
--
ALTER TABLE `pcc_tb_responsavel`
ADD CONSTRAINT `pcc_fk_respAluno` FOREIGN KEY (`Alu_INT_Codigo`) REFERENCES `pcc_tb_pessoas` (`Pess_INT_Codigo`) ON DELETE NO ACTION ON UPDATE NO ACTION;
--
-- Restrições para tabelas `pcc_tb_retiradaaluno`
--
ALTER TABLE `pcc_tb_retiradaaluno`
ADD CONSTRAINT `PCC_FK_Responsavel` FOREIGN KEY (`Res_INT_Codigo`) REFERENCES `pcc_tb_responsavel` (`Res_INT_Codigo`) ON DELETE NO ACTION ON UPDATE NO ACTION;
--
-- Restrições para tabelas `pcc_tb_log`
--
ALTER TABLE `pcc_tb_log`
ADD CONSTRAINT `PCC_FK_Funcionario` FOREIGN KEY (`Pess_INT_Codigo`) REFERENCES `pcc_tb_pessoas` (`Pess_INT_Codigo`) ON DELETE NO ACTION ON UPDATE NO ACTION;
--
-- Restrições para tabelas `pcc_tb_situacaolista`
--
ALTER TABLE `pcc_tb_situacaolista`
ADD CONSTRAINT `pcc_fk_prolista` FOREIGN KEY (`Pro_INT_Codigo`) REFERENCES `pcc_tb_horario` (`Pro_INT_Codigo`) ON DELETE NO ACTION ON UPDATE NO ACTION;
--
-- Restrições para tabelas `pcc_tb_telefone`
--
ALTER TABLE `pcc_tb_telefone`
ADD CONSTRAINT `PCC_fk_PessoaTel` FOREIGN KEY (`Pess_INT_Codigo`) REFERENCES `pcc_tb_pessoas` (`Pess_INT_Codigo`) ON DELETE NO ACTION ON UPDATE NO ACTION;
COMMIT;
-- Update de endereços errados
update pcc_tb_pessoas set Pess_ST_Rua = 'Rua dos Canários', Pess_ST_Complemento = '', Pess_ST_Bairro = 'Centro', Pess_ST_Cidade = 'Vargem', Pess_ST_UF = 'SP', Pess_ST_DataNasc = '17/02/2000' where Pess_ST_Rua = '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 */;
|
CREATE TABLE user (
id INTEGER NOT NULL PRIMARY KEY AUTOINCREMENT,
username VARCHAR NOT NULL,
password VARCHAR NOT NULL,
ctime TIMESTAMP NOT NULL,
mtime TIMESTAMP NOT NULL,
UNIQUE(username)
);
INSERT INTO user (id, username, password, ctime, mtime) VALUES
(1, 'admin', '<PASSWORD>', CURRENT_TIMESTAMP, CURRENT_TIMESTAMP),
(2, '<PASSWORD>', '<PASSWORD>', CURRENT_TIMESTAMP, CURRENT_TIMESTAMP);
|
SELECT
T.*
FROM RDB$TRIGGERS T
WHERE RDB$SYSTEM_FLAG=0
AND T.RDB$TRIGGER_NAME NOT IN
(
SELECT RDB$TRIGGER_NAME
FROM RDB$CHECK_CONSTRAINTS
)
/*if isNotEmpty(triggerName) */
AND RDB$TRIGGER_NAME IN /*triggerName*/('%')
/*end*/
/*if readerOptions.excludeSystemObjects */
AND T.RDB$SYSTEM_FLAG=0
/*end*/
ORDER BY RDB$TRIGGER_NAME
|
SELECT round(long_w, 4) FROM station WHERE lat_n < 137.2345 ORDER BY lat_n DESC LIMIT 1;
|
<filename>data/cupcake.sql
-- phpMyAdmin SQL Dump
-- version 4.9.0.1
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Sep 28, 2019 at 07:15 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: `cupcake`
--
-- --------------------------------------------------------
--
-- Table structure for table `bills`
--
CREATE TABLE `bills` (
`id` bigint(20) UNSIGNED NOT NULL,
`id_customer` bigint(20) UNSIGNED NOT NULL,
`date_order` date NOT NULL,
`total` double NOT NULL,
`note` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `bills`
--
INSERT INTO `bills` (`id`, `id_customer`, `date_order`, `total`, `note`, `created_at`, `updated_at`) VALUES
(1, 1, '2019-09-03', 20000, '', NULL, NULL),
(2, 4, '2019-09-28', 450000, 'a', '2019-09-28 09:41:30', '2019-09-28 09:41:30'),
(3, 5, '2019-09-28', 450000, 'a', '2019-09-28 09:42:51', '2019-09-28 09:42:51'),
(4, 13, '2019-09-28', 150000, 'a', '2019-09-28 09:50:20', '2019-09-28 09:50:20');
-- --------------------------------------------------------
--
-- Table structure for table `bill_detail`
--
CREATE TABLE `bill_detail` (
`id` bigint(20) UNSIGNED NOT NULL,
`id_bill` bigint(20) UNSIGNED NOT NULL,
`id_product` bigint(20) UNSIGNED NOT NULL,
`quantity` varchar(11) COLLATE utf8mb4_unicode_ci NOT NULL,
`unit_price` double NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `bill_detail`
--
INSERT INTO `bill_detail` (`id`, `id_bill`, `id_product`, `quantity`, `unit_price`, `created_at`, `updated_at`) VALUES
(1, 1, 16, '2', 320000, NULL, NULL),
(2, 2, 2, '2', 150000, '2019-09-28 09:41:30', '2019-09-28 09:41:30'),
(3, 2, 3, '1', 150000, '2019-09-28 09:41:30', '2019-09-28 09:41:30'),
(4, 3, 2, '2', 150000, '2019-09-28 09:42:51', '2019-09-28 09:42:51'),
(5, 3, 3, '1', 150000, '2019-09-28 09:42:51', '2019-09-28 09:42:51'),
(6, 4, 2, '1', 150000, '2019-09-28 09:50:20', '2019-09-28 09:50:20');
-- --------------------------------------------------------
--
-- Table structure for table `customer`
--
CREATE TABLE `customer` (
`id` bigint(20) UNSIGNED NOT NULL,
`name` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
`gender` varchar(10) COLLATE utf8mb4_unicode_ci NOT NULL,
`email` varchar(50) COLLATE utf8mb4_unicode_ci NOT NULL,
`address` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
`phone_number` varchar(20) COLLATE utf8mb4_unicode_ci NOT NULL,
`note` varchar(200) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `customer`
--
INSERT INTO `customer` (`id`, `name`, `gender`, `email`, `address`, `phone_number`, `note`, `created_at`, `updated_at`) VALUES
(1, 'Hằng', 'Nữ', '<EMAIL>', '<NAME>', '0123456789', 'Xin chào', NULL, NULL),
(4, '<NAME> 1', 'on', '<EMAIL>', 'a', '12222222222222222222', 'a', '2019-09-28 09:41:30', '2019-09-28 09:41:30'),
(5, '<NAME> 1', 'on', '<EMAIL>', 'a', '12222222222222222222', 'a', '2019-09-28 09:42:51', '2019-09-28 09:42:51'),
(13, 'test', 'on', '<EMAIL>', 'b', '12222222222222222222', 'a', '2019-09-28 09:50:20', '2019-09-28 09:50:20');
-- --------------------------------------------------------
--
-- Table structure for table `migrations`
--
CREATE TABLE `migrations` (
`id` int(10) UNSIGNED NOT NULL,
`migration` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`batch` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `migrations`
--
INSERT INTO `migrations` (`id`, `migration`, `batch`) VALUES
(1, '2014_10_12_000000_create_users_table', 1),
(2, '2019_09_17_181815_create_customer_table', 1),
(3, '2019_09_17_182018_create_bills_table', 1),
(4, '2019_09_17_182528_create_bill_detail_table', 1),
(5, '2019_09_17_182655_create_products_table', 1),
(6, '2019_09_17_182724_create_type_products_table', 1),
(7, '2019_09_17_182823_create_news_table', 1),
(8, '2019_09_17_184628_add_fk_bills_table', 1),
(9, '2019_09_17_184855_add_fk_bill_detail_table', 1),
(10, '2019_09_17_185018_add_fk_products_table', 1),
(11, '2019_09_24_184258_create_slide_table', 2),
(19, '2014_10_12_000000_create_users_table', 1),
(20, '2014_10_12_100000_create_password_resets_table', 1),
(21, '2019_06_11_145812_create_tbl_admin_table', 1),
(22, '2019_06_17_161852_create_tbl_category_product', 1),
(23, '2019_06_19_152045_create_tbl_brand_product', 1),
(24, '2019_06_19_155204_create_tbl_product', 1),
(25, '2019_08_17_030852_tbl_customer', 1),
(26, '2019_08_17_044054_tbl_shipping', 2),
(30, '2019_08_28_142718_tbl_payment', 3),
(31, '2019_08_28_142750_tbl_order', 3),
(32, '2019_08_28_142810_tbl_order_details', 3),
(33, '2019_09_28_163032_create_roles_table', 4),
(34, '2019_09_28_163210_create_role_users_table', 4),
(35, '2019_09_28_163333_add_fk_role_user_table', 4);
-- --------------------------------------------------------
--
-- Table structure for table `news`
--
CREATE TABLE `news` (
`id` bigint(20) UNSIGNED NOT NULL,
`title` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`content` text COLLATE utf8mb4_unicode_ci NOT NULL,
`image` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `products`
--
CREATE TABLE `products` (
`id` bigint(20) UNSIGNED NOT NULL,
`name` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
`id_type` bigint(20) UNSIGNED NOT NULL,
`description` text COLLATE utf8mb4_unicode_ci NOT NULL,
`unit_price` double(8,2) NOT NULL,
`promotion_price` double(8,2) NOT NULL,
`image` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`unit` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
`new` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `products`
--
INSERT INTO `products` (`id`, `name`, `id_type`, `description`, `unit_price`, `promotion_price`, `image`, `unit`, `created_at`, `updated_at`, `new`) VALUES
(2, 'Bánh CupCake Dâu', 1, 'Bánh CupCake Dâu thơm ngon', 150000.00, 120000.00, 'ckdau.jpg', 'Cái', NULL, NULL, 1),
(3, 'Bánh CupCake Sầu Riêng', 1, '', 150000.00, 0.00, 'cksr.jpg', 'Cái', NULL, NULL, 1),
(4, 'Bánh CupCake Dừa', 1, '', 150000.00, 120000.00, 'ckdua.jpg', 'Cái', NULL, NULL, 1),
(5, 'Bánh CupCake Socola', 1, '', 150000.00, 120000.00, 'ckscl.jpg', 'Cái', NULL, NULL, 0),
(6, 'Bánh CupCake Bơ - Phômai', 1, '', 150000.00, 120000.00, 'ckbo.jpg', 'Cái', NULL, NULL, 0),
(7, 'BÁNH LƯỠI MÈO', 4, '', 28000.00, 26000.00, 'ckluoimeo.jpg', 'grams', NULL, NULL, 1),
(8, 'CIGARETTES', 4, '', 35000.00, 0.00, 'ck2.jpg', 'grams', NULL, NULL, 1),
(9, '<NAME>', 4, '', 28000.00, 0.00, 'ckccnutdua.jpg', 'grams', NULL, NULL, 0),
(10, '<NAME>', 4, '', 25000.00, 23000.00, 'ckraisinnho.jpg', 'grams', NULL, NULL, 1),
(11, 'PALMIER', 4, '', 30000.00, 0.00, 'ck1.jpg', 'grams', NULL, NULL, 0),
(12, 'STRAWBERRY CAKE', 2, '', 275000.00, 0.00, 'snck.jpg', 'Cái', NULL, NULL, 1),
(13, '<NAME>', 2, '', 200000.00, 0.00, 'snxu.jpg', 'Cái', NULL, NULL, 1),
(14, 'MOIST CHOCOLATE FOUR LOVE', 2, '', 300000.00, 280000.00, 'snscl.jpg', 'Cái', NULL, NULL, 0),
(15, 'CARAMEN CHOCOLATE CAKE', 2, '', 280000.00, 0.00, 'sncrm.jpg', 'Cái', NULL, NULL, 0),
(16, 'ANGEL KITTY CAKE', 2, '', 320000.00, 0.00, 'snkt.jpg', 'Cái', NULL, NULL, 1),
(17, 'PETIT MOUSSE CHANH LEO', 5, '', 5000.00, 0.00, 'mncl.jpg', 'Cái', NULL, NULL, 1),
(18, '<NAME>', 5, '', 32000.00, 0.00, 'mnck.jpg', 'Cái', NULL, NULL, 1),
(19, 'LIGHT CHEESE CAKE', 5, '', 75000.00, 70000.00, 'mnl.jpg', 'Cái', NULL, NULL, 0),
(20, 'MOKA CAKE PIECE', 5, '', 32000.00, 0.00, 'mnmk.jpg', 'Cái', NULL, NULL, 0),
(21, '<NAME>', 5, '', 4500.00, 0.00, 'mnsk.jpg', 'Cái', NULL, NULL, 0),
(22, '<NAME>', 6, '', 15000.00, 0.00, 'bmn.jpg', 'Cái', NULL, NULL, 1),
(23, '<NAME>', 6, '', 15000.00, 0.00, 'bmp.jpg', 'Cái', NULL, NULL, 0),
(24, '<NAME>', 6, '', 6000.00, 0.00, 'bmmn.jpg', 'Cái', NULL, NULL, 0),
(25, '<NAME>', 6, '', 12000.00, 0.00, 'bmsb.jpg', 'Cái', NULL, NULL, 0),
(26, '<NAME>', 6, '', 6000.00, 6000.00, 'bmpz.jpg', 'Cái', NULL, NULL, 0),
(27, 'BÁNH MÌ BAGUETTE', 7, '', 9000.00, 0.00, 'bmba.jpg', 'Cái', NULL, NULL, 1),
(28, '<NAME>', 7, '', 15000.00, 0.00, 'bmd.jpg', 'Cái', NULL, NULL, 0),
(29, '<NAME>', 7, '', 1000.00, 0.00, 'bmv.jpg', 'Cái', NULL, NULL, 0),
(30, '<NAME>', 7, '', 2000.00, 0.00, 'bmc.jpg', 'Cái', NULL, NULL, 1),
(31, '<NAME>', 7, '', 11000.00, 0.00, 'bmg.jp', 'Cái', NULL, NULL, 0);
-- --------------------------------------------------------
--
-- Table structure for table `roles`
--
CREATE TABLE `roles` (
`id` bigint(20) UNSIGNED NOT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `roles`
--
INSERT INTO `roles` (`id`, `name`, `created_at`, `updated_at`) VALUES
(1, 'admin', NULL, NULL),
(2, 'editor', NULL, NULL),
(3, 'member', NULL, NULL);
-- --------------------------------------------------------
--
-- Table structure for table `role_users`
--
CREATE TABLE `role_users` (
`user_id` bigint(20) UNSIGNED NOT NULL,
`role_id` bigint(20) UNSIGNED NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `role_users`
--
INSERT INTO `role_users` (`user_id`, `role_id`, `created_at`, `updated_at`) VALUES
(1, 1, NULL, NULL);
-- --------------------------------------------------------
--
-- Table structure for table `slide`
--
CREATE TABLE `slide` (
`id` bigint(20) UNSIGNED NOT NULL,
`link` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
`image` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `slide`
--
INSERT INTO `slide` (`id`, `link`, `image`, `created_at`, `updated_at`) VALUES
(1, '', 'bn1.jpg', NULL, NULL),
(2, '', 'bn2.jpg', NULL, NULL),
(3, '', 'bn5.jpg', NULL, NULL);
-- --------------------------------------------------------
--
-- Table structure for table `type_products`
--
CREATE TABLE `type_products` (
`id` bigint(20) UNSIGNED NOT NULL,
`name` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
`description` text COLLATE utf8mb4_unicode_ci NOT NULL,
`image` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `type_products`
--
INSERT INTO `type_products` (`id`, `name`, `description`, `image`, `created_at`, `updated_at`) VALUES
(1, 'Bánh Cup Cake', '', '', NULL, NULL),
(2, '<NAME>', '', '', NULL, NULL),
(4, 'COOKIES', '', '', NULL, NULL),
(5, 'MIN<NAME>', '', '', NULL, NULL),
(6, '<NAME>', '', '', NULL, NULL),
(7, '<NAME>', '', '', NULL, NULL);
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`id` bigint(20) UNSIGNED NOT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`email` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`password` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`remember_token` varchar(100) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `users`
--
INSERT INTO `users` (`id`, `name`, `email`, `password`, `remember_token`, `created_at`, `updated_at`) VALUES
(1, 'admin', '<EMAIL>', '<PASSWORD>', NULL, NULL, NULL);
--
-- Indexes for dumped tables
--
--
-- Indexes for table `bills`
--
ALTER TABLE `bills`
ADD PRIMARY KEY (`id`),
ADD KEY `bills_id_customer_foreign` (`id_customer`);
--
-- Indexes for table `bill_detail`
--
ALTER TABLE `bill_detail`
ADD PRIMARY KEY (`id`),
ADD KEY `bill_detail_id_bill_foreign` (`id_bill`),
ADD KEY `bill_detail_id_product_foreign` (`id_product`);
--
-- Indexes for table `customer`
--
ALTER TABLE `customer`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `migrations`
--
ALTER TABLE `migrations`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `news`
--
ALTER TABLE `news`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `products`
--
ALTER TABLE `products`
ADD PRIMARY KEY (`id`),
ADD KEY `products_id_type_foreign` (`id_type`);
--
-- Indexes for table `roles`
--
ALTER TABLE `roles`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `role_users`
--
ALTER TABLE `role_users`
ADD KEY `role_users_user_id_foreign` (`user_id`),
ADD KEY `role_users_role_id_foreign` (`role_id`);
--
-- Indexes for table `slide`
--
ALTER TABLE `slide`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `type_products`
--
ALTER TABLE `type_products`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `bills`
--
ALTER TABLE `bills`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `bill_detail`
--
ALTER TABLE `bill_detail`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT for table `customer`
--
ALTER TABLE `customer`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=14;
--
-- AUTO_INCREMENT for table `migrations`
--
ALTER TABLE `migrations`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=36;
--
-- AUTO_INCREMENT for table `news`
--
ALTER TABLE `news`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `products`
--
ALTER TABLE `products`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=32;
--
-- AUTO_INCREMENT for table `roles`
--
ALTER TABLE `roles`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT for table `slide`
--
ALTER TABLE `slide`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT for table `type_products`
--
ALTER TABLE `type_products`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- AUTO_INCREMENT for table `users`
--
ALTER TABLE `users`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `bills`
--
ALTER TABLE `bills`
ADD CONSTRAINT `bills_id_customer_foreign` FOREIGN KEY (`id_customer`) REFERENCES `customer` (`id`);
--
-- Constraints for table `bill_detail`
--
ALTER TABLE `bill_detail`
ADD CONSTRAINT `bill_detail_id_bill_foreign` FOREIGN KEY (`id_bill`) REFERENCES `bills` (`id`),
ADD CONSTRAINT `bill_detail_id_product_foreign` FOREIGN KEY (`id_product`) REFERENCES `products` (`id`);
--
-- Constraints for table `products`
--
ALTER TABLE `products`
ADD CONSTRAINT `products_id_type_foreign` FOREIGN KEY (`id_type`) REFERENCES `type_products` (`id`);
--
-- Constraints for table `role_users`
--
ALTER TABLE `role_users`
ADD CONSTRAINT `role_users_role_id_foreign` FOREIGN KEY (`role_id`) REFERENCES `roles` (`id`),
ADD CONSTRAINT `role_users_user_id_foreign` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`);
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>benchmark/ldbc/queries/interactive-complex-11.sql
select p_personid,p_firstname, p_lastname, o_name, pc_workfrom
from person, person_company, organisation, place,
( select k_person2id
from knows
where
k_person1id = 21990232556256
union
select k2.k_person2id
from knows k1, knows k2
where
k1.k_person1id = 21990232556256 and k1.k_person2id = k2.k_person1id and k2.k_person2id <> 21990232556256
) f
where
p_personid = f.k_person2id and
p_personid = pc_personid and
pc_organisationid = o_organisationid and
pc_workfrom < 2012 and -- :workFromYear
o_placeid = pl_placeid and
pl_name = 'United_States' -- :countryName
order by pc_workfrom, p_personid, o_name desc
limit 10
|
<filename>conf/evolutions/default/15.sql<gh_stars>1-10
# --- !Ups
CREATE TABLE user_group (
id uuid primary key,
name character varying(50) NOT NULL,
insee_code character varying(5) NOT NULL,
creation_date timestamp with time zone NOT NULL,
create_by_user_id uuid NOT NULL,
area uuid NOT NULL
);
ALTER TABLE "user" ADD group_admin BOOLEAN DEFAULT false NOT NULL;
ALTER TABLE "user" ADD group_ids uuid[] NOT NULL DEFAULT array[]::uuid[];
# --- !Downs
ALTER TABLE "user" DROP group_admin;
ALTER TABLE "user" DROP group_ids;
DROP TABLE user_group; |
<gh_stars>10-100
ALTER TABLE eg_sw_service
ADD COLUMN IF NOT EXISTS createdBy character varying(64),
ADD COLUMN IF NOT EXISTS lastModifiedBy character varying(64),
ADD COLUMN IF NOT EXISTS createdTime bigint,
ADD COLUMN IF NOT EXISTS lastModifiedTime bigint,
ADD COLUMN IF NOT EXISTS estimationLetterDate bigint;
ALTER TABLE eg_sw_plumberinfo
ADD COLUMN IF NOT EXISTS createdBy character varying(64),
ADD COLUMN IF NOT EXISTS lastModifiedBy character varying(64),
ADD COLUMN IF NOT EXISTS createdTime bigint,
ADD COLUMN IF NOT EXISTS lastModifiedTime bigint,
ADD COLUMN IF NOT EXISTS tenantid character varying(64);
|
<gh_stars>1-10
SELECT id_concert,
DATE_FORMAT(data, '%Y-%m-%d') AS data,
IFNULL(CONCAT(data, ' ', hora_inici), data) AS datahora_inici,
hora_inici,
c.titol AS titol_concert,
id_projecte,
p.titol AS titol_projecte,
inicials AS inicials_projecte,
color AS color_projecte,
(
SELECT estat
FROM estats_confirmacio
WHERE id_estat_confirmacio = e.id_estat_esdeveniment
) AS estat_esdeveniment,
(
SELECT estat
FROM estats_confirmacio
WHERE id_estat_confirmacio = e.id_estat_localitzacio
) AS estat_localitzacio
FROM esdeveniments e
INNER JOIN concerts c ON (e.id_esdeveniment = c.id_concert)
INNER JOIN formacions_concerts USING (id_concert)
LEFT JOIN projectes p USING (id_projecte)
WHERE id_formacio = ?
ORDER BY data, hora_inici;
|
<filename>Scripts/seed_manufacturers.sql<gh_stars>10-100
INSERT INTO manufacturer (name, website_link, approved) VALUES ('Incipio', 'https://www.incipio.com', TRUE);
INSERT INTO manufacturer (name, website_link, approved) VALUES ('iHome', 'https://ihomeaudiointl.com/', TRUE);
INSERT INTO manufacturer (name, website_link, approved) VALUES ('iDevices', 'https://idevicesinc.com', TRUE);
INSERT INTO manufacturer (name, website_link, approved) VALUES ('Elgato', 'https://www.elgato.com/', TRUE);
INSERT INTO manufacturer (name, website_link, approved) VALUES ('C by GE', 'https://www.cbyge.com', TRUE);
INSERT INTO manufacturer (name, website_link, approved) VALUES ('Nanoleaf', 'https://nanoleaf.me/en/', TRUE);
INSERT INTO manufacturer (name, website_link, approved) VALUES ('Philips', 'https://www2.meethue.com/', TRUE);
INSERT INTO manufacturer (name, website_link, approved) VALUES ('ConnectSense', 'https://www.connectsense.com', TRUE);
INSERT INTO manufacturer (name, website_link, approved) VALUES ('Koogeek', 'https://www.koogeek.com', TRUE);
INSERT INTO manufacturer (name, website_link, approved) VALUES ('PureGear', 'https://www.pure-gear.com', TRUE);
|
grant all privileges on *.* to root@"%" identified by 'root' with grant option;
grant all privileges on *.* to guestuser@"%" identified by 'secret123' with grant option;
|
--for all customers, find out the preferred channel wrt number of orders made.
create or replace function preferredChannel_wrtCount(cust_key int)
returns varchar(50)
language plpgsql
as
$$
declare
numWeb int;
numStore int;
numCat int;
begin
numWeb :=0;
numStore :=0;
numCat :=0;
select count(*) into numWeb from web_sales_history where ws_bill_customer_sk=cust_key;
select count(*) into numStore from store_sales_history where ss_customer_sk=cust_key;
select count(*) into numCat from catalog_sales_history where cs_bill_customer_sk=cust_key;
if(numWeb>=numStore and numWeb>=numCat) then
return 'web';
end if;
if(numStore>=numWeb and numStore>=numCat) then
return 'store';
end if;
if(numCat>=numStore and numCat>=numWeb) then
return 'Catalog';
end if;
return 'Logical error';
end;
$$;
--inovocation query
select c_customer_sk, preferredChannel_wrtCount(c_customer_sk) from customer; |
<gh_stars>100-1000
CREATE PROCEDURE [dbo].[BugNet_User_GetUserNameByPasswordResetToken]
@Token NVARCHAR(255),
@UserName NVARCHAR(255) OUTPUT
AS
SET NOCOUNT ON
SELECT @UserName = UserName
FROM BugNet_UserProfiles
WHERE PasswordVerificationToken = @Token |
create table #dblib0016 (b1 bit, b2 bit, b3 bit, b4 bit)
go
select * from #dblib0016 where 0=1
go
select * from #dblib0016 where 0=1
go
drop table #dblib0016
go
|
/*
Navicat MySQL Data Transfer
Source Server : test
Source Server Version : 50505
Source Host : localhost:3306
Source Database : homework
Target Server Type : MYSQL
Target Server Version : 50505
File Encoding : 65001
Date: 2018-04-11 23:14:51
*/
SET FOREIGN_KEY_CHECKS=0;
-- ----------------------------
-- Table structure for work_admin
-- ----------------------------
DROP TABLE IF EXISTS `work_admin`;
CREATE TABLE `work_admin` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`num` varchar(20) NOT NULL DEFAULT '' COMMENT '工号',
`username` varchar(20) NOT NULL DEFAULT '' COMMENT '姓名',
`password` varchar(32) NOT NULL DEFAULT '' COMMENT '密码',
`code` varchar(10) NOT NULL DEFAULT '' COMMENT '密码加密码',
`tel` varchar(20) NOT NULL DEFAULT '' COMMENT '电话',
`email` varchar(20) NOT NULL DEFAULT '' COMMENT '邮箱',
`status` tinyint(1) NOT NULL DEFAULT '1' COMMENT '状态 1正常 0删除 2禁用',
`create_time` int(11) unsigned NOT NULL DEFAULT '0' COMMENT '创建时间',
`update_time` int(11) unsigned NOT NULL DEFAULT '0' COMMENT '更新时间',
PRIMARY KEY (`id`),
UNIQUE KEY `num` (`num`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of work_admin
-- ----------------------------
INSERT INTO `work_admin` VALUES ('1', '0200753025', '程零儿', '3993a05d83718bac2049649aea3c49ba', '3643', '15976021214', '<EMAIL>', '1', '1521725536', '1521951698');
INSERT INTO `work_admin` VALUES ('2', '0200753026', '张三', '69afe7ecdf8664d4080f445fe7c1d350', '2237', '13528111342', '<EMAIL>', '1', '1521726936', '1521951675');
INSERT INTO `work_admin` VALUES ('3', 'superadmin', '程程', '3993a05d83718bac2049649aea3c49ba', '3643', '15976021214', '<EMAIL>', '1', '1521725536', '1521951698');
-- ----------------------------
-- Table structure for work_answer
-- ----------------------------
DROP TABLE IF EXISTS `work_answer`;
CREATE TABLE `work_answer` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`homework_id` int(11) NOT NULL DEFAULT '0',
`student_id` int(11) NOT NULL DEFAULT '0',
`answerimage` varchar(20) NOT NULL DEFAULT '效果图.png',
`answerurl` varchar(30) NOT NULL DEFAULT 'index.html',
`remark` text NOT NULL DEFAULT '',
`score` int(11) NOT NULL DEFAULT '0',
`comment` text NOT NULL,
`up` int(11) NOT NULL DEFAULT '0',
`down` int(11) NOT NULL DEFAULT '0',
`status` tinyint(1) NOT NULL DEFAULT '1',
`create_time` int(11) unsigned NOT NULL DEFAULT '0',
`update_time` int(11) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`id`),
KEY `homework_id` (`homework_id`),
KEY `student_id` (`student_id`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of work_answer
-- ----------------------------
INSERT INTO `work_answer` VALUES ('1', '1', '2', '效果图.png', 'index.html', '', '0', '', '0', '0', '1', '1523112613', '1523112613');
INSERT INTO `work_answer` VALUES ('2', '1', '2', '效果图.png', 'index.html', '', '0', '', '0', '0', '1', '1523112882', '1523112882');
-- ----------------------------
-- Table structure for work_course
-- ----------------------------
DROP TABLE IF EXISTS `work_course`;
CREATE TABLE `work_course` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(20) NOT NULL DEFAULT '',
`start_time` int(11) NOT NULL DEFAULT '0',
`end_time` int(11) NOT NULL DEFAULT '0',
`teacher_id` int(11) NOT NULL DEFAULT '0',
`grade_id` int(11) NOT NULL DEFAULT '0',
`remark` text not null DEFAULT '',
`status` tinyint(1) NOT NULL DEFAULT '1',
`create_time` int(11) unsigned NOT NULL DEFAULT '0',
`update_time` int(11) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`id`),
KEY `teacher_id` (`teacher_id`),
KEY `grade_id` (`grade_id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of work_course
-- ----------------------------
INSERT INTO `work_course` VALUES ('1', '网页设计与制作', '1517414400', '1544716800', '1', '1', '网页设计', '1', '1521989621', '1521989621');
INSERT INTO `work_course` VALUES ('2', 'photoshop', '1519833600', '1556208000', '3', '3', 'photoshop', '1', '1522501152', '1522501152');
INSERT INTO `work_course` VALUES ('3', 'js框架', '1519833600', '1544112000', '4', '3', 'js技术框架', '1', '1522501346', '1522501346');
-- ----------------------------
-- Table structure for work_grade
-- ----------------------------
DROP TABLE IF EXISTS `work_grade`;
CREATE TABLE `work_grade` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(20) NOT NULL DEFAULT '',
`depart` varchar(20) NOT NULL DEFAULT '信息工程学院',
`remark` text not null DEFAULT '',
`status` tinyint(1) NOT NULL DEFAULT '1',
`create_time` int(11) unsigned NOT NULL DEFAULT '0',
`update_time` int(11) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`id`),
UNIQUE KEY `name` (`name`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of work_grade
-- ----------------------------
INSERT INTO `work_grade` VALUES ('1', '17软件1班', '信息工程学院', '17软件1班的基本情况', '1', '1521767587', '1521767587');
INSERT INTO `work_grade` VALUES ('2', '16软件1班', '信息工程学院', '16软件1班的基本情况', '1', '1521767613', '1521767613');
INSERT INTO `work_grade` VALUES ('3', '17软件2班', '信息工程学院', '17软件2班的基本情况', '1', '1522500468', '1522500468');
-- ----------------------------
-- Table structure for work_homework
-- ----------------------------
DROP TABLE IF EXISTS `work_homework`;
CREATE TABLE `work_homework` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(20) NOT NULL DEFAULT '',
`demo` varchar(20) NOT NULL DEFAULT '效果图.png',
`demohelp` varchar(20) NOT NULL DEFAULT '素材.zip',
`demourl` varchar(30) NOT NULL DEFAULT 'index.html',
`demoimage` varchar(20) NOT NULL DEFAULT 'image.html',
`remark` text NOT NULL DEFAULT '',
`answer` varchar(20) NOT NULL DEFAULT '参考答案.zip',
`start_time` int(11) NOT NULL DEFAULT '0',
`end_time` int(11) NOT NULL DEFAULT '0',
`course_id` int(11) NOT NULL DEFAULT '0',
`teacher_id` int(11) NOT NULL DEFAULT '0',
`status` tinyint(1) NOT NULL DEFAULT '1',
`create_time` int(11) unsigned NOT NULL DEFAULT '0',
`update_time` int(11) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`id`),
KEY `teacher_id` (`teacher_id`),
KEY `course_id` (`course_id`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of work_homework
-- ----------------------------
INSERT INTO `work_homework` VALUES ('1', '网页基本标签练习', '效果图.png', '素材.zip', 'index.html', 'image.html', '做个页面', '参考答案.zip', '1522944000', '1524758400', '1', '1', '1', '1523022913', '1523022913');
INSERT INTO `work_homework` VALUES ('2', 'css入门练习', '效果图.png', '素材.zip', 'index.html', 'image.html', 'css练习', '参考答案.zip', '1522771200', '1524844800', '1', '1', '1', '1523023478', '1523023478');
-- ----------------------------
-- Table structure for work_notice
-- ----------------------------
DROP TABLE IF EXISTS `work_notice`;
CREATE TABLE `work_notice` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(50) NOT NULL DEFAULT '',
`content` text NOT NULL DEFAULT '',
`admin_id` int(11) NOT NULL DEFAULT '0',
`status` tinyint(1) NOT NULL DEFAULT '1',
`create_time` int(11) unsigned NOT NULL DEFAULT '0',
`update_time` int(11) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`id`),
KEY `admin_id` (`admin_id`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of work_notice
-- ----------------------------
INSERT INTO `work_notice` VALUES ('1', '惹味认为', '&lt;div style=&quot;text-align: center;&quot;&gt;嗡嗡嗡惹我&lt;/div&gt;', '1', '1', '1521821247', '1521821247');
INSERT INTO `work_notice` VALUES ('2', '<h1>t443</h1>', '&lt;div style=&quot;text-align: center;&quot;&gt;我要居中&lt;/div&gt;', '1', '1', '1521821333', '1521821333');
-- ----------------------------
-- Table structure for work_student
-- ----------------------------
DROP TABLE IF EXISTS `work_student`;
CREATE TABLE `work_student` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`num` varchar(20) NOT NULL DEFAULT '',
`username` varchar(20) NOT NULL DEFAULT '',
`password` varchar(32) NOT NULL DEFAULT '',
`code` varchar(10) NOT NULL DEFAULT '',
`depart` varchar(20) NOT NULL DEFAULT '信息工程学院',
`major` varchar(20) NOT NULL DEFAULT '软件技术',
`grade_id` int(11) NOT NULL DEFAULT '0',
`tel` varchar(20) NOT NULL DEFAULT '',
`email` varchar(20) NOT NULL DEFAULT '',
`status` tinyint(1) NOT NULL DEFAULT '1',
`create_time` int(11) unsigned NOT NULL DEFAULT '0',
`update_time` int(11) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`id`),
UNIQUE KEY `num` (`num`),
KEY `grade_id` (`grade_id`)
) ENGINE=InnoDB AUTO_INCREMENT=12 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of work_student
-- ----------------------------
INSERT INTO `work_student` VALUES ('1', '10086001', '阮小仪', 'a5346f9fa6817874a670412c1da43228', '2960', '信息工程学院', '软件技术', '2', '10086', '<EMAIL>', '1', '1521909037', '1521909037');
INSERT INTO `work_student` VALUES ('2', '10086002', '阮小二', '76ec7f00e2b19cca4ba5ecba8a87646c', '7057', '信息工程学院', '', '1', '1000', '<EMAIL>', '1', '1521961244', '1521961244');
INSERT INTO `work_student` VALUES ('3', '10086003', '阮小三', '2b4422f9a8032911f9e70198758c1c8a', '2269', '信息工程学院', '', '1', '1100', '<EMAIL>', '1', '1521961536', '1521961536');
INSERT INTO `work_student` VALUES ('5', '1002', '张二1', '54d554d9de79457e7b6832df64115dfe', '4344', '信息工程学院', '2', '2', '', '<EMAIL>', '1', '1522252454', '1522252454');
INSERT INTO `work_student` VALUES ('6', '1003', '张三1', '7771bfa197b8ab688f81433d52a69035', '5950', '信息工程学院', '', '2', '1232433', '', '1', '1522252454', '1522252454');
INSERT INTO `work_student` VALUES ('7', '1004', '张四1', 'e3aa7c9309bd6d40c9ce7a417e2f3f58', '5107', '信息工程学院', '', '2', '1232434', '<EMAIL>', '1', '1522252454', '1522252454');
INSERT INTO `work_student` VALUES ('8', '1005', '张一5', 'c53ab7dc766fbc7d34eb563b678af66c', '5523', '信息工程学院', '', '1', '43434', '<EMAIL>', '1', '1522414320', '1522414320');
INSERT INTO `work_student` VALUES ('9', '1006', '张二6', '4e3026064c82cb18d508c5748f0531de', '1726', '信息工程学院', '2', '1', '', '<EMAIL>', '1', '1522414320', '1522414320');
INSERT INTO `work_student` VALUES ('10', '1007', '张三7', '<PASSWORD>', '162', '信息工程学院', '', '1', '1232433', '', '1', '1522414320', '1522414320');
INSERT INTO `work_student` VALUES ('11', '1008', '张四8', '<PASSWORD>', '8741', '信息工程学院', '', '1', '1232434', '<EMAIL>', '1', '1522414320', '1522414320');
-- ----------------------------
-- Table structure for work_teacher
-- ----------------------------
DROP TABLE IF EXISTS `work_teacher`;
CREATE TABLE `work_teacher` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`num` varchar(20) NOT NULL DEFAULT '' COMMENT '工号',
`username` varchar(20) NOT NULL DEFAULT '' COMMENT '姓名',
`password` varchar(32) NOT NULL DEFAULT '' COMMENT '密码',
`code` varchar(10) NOT NULL DEFAULT '' COMMENT '密码加密码',
`depart` varchar(20) NOT NULL DEFAULT '信息工程学院' COMMENT '所在部门',
`tel` varchar(20) NOT NULL DEFAULT '',
`email` varchar(20) NOT NULL DEFAULT '',
`status` tinyint(1) NOT NULL DEFAULT '1',
`create_time` int(11) unsigned NOT NULL DEFAULT '0',
`update_time` int(11) unsigned NOT NULL DEFAULT '0',
PRIMARY KEY (`id`),
UNIQUE KEY `num` (`num`)
) ENGINE=InnoDB AUTO_INCREMENT=7 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of work_teacher
-- ----------------------------
INSERT INTO `work_teacher` VALUES ('1', '0200753025', '程程', '638a2412145c05c3f0a0730a98cf0a07', '189', '信息工程学院', '10086', '<EMAIL>', '1', '1521733156', '1521733156');
INSERT INTO `work_teacher` VALUES ('2', '0200753028', '李四', '57446aa3aee3adffd50763a47037c519', '4326', '艺术设计学院', '1000', '<EMAIL>', '1', '1521733207', '1521733207');
INSERT INTO `work_teacher` VALUES ('3', '0200753029', '晓玖', '7abd9ce3b76a447644884a97bb9ff665', '579', '信息工程学院', '009', '', '1', '1522492401', '1522492401');
INSERT INTO `work_teacher` VALUES ('4', '0200753030', '小诗', 'd48bb1240ec90229f97f06fa891e73f7', '1477', '信息工程学院', '', '', '1', '1522492464', '1522492464');
INSERT INTO `work_teacher` VALUES ('5', '0200753001', '小一', 'b0024f3a949e2f9636e738d9fe8c7bbc', '2942', '信息工程学院', '', '', '1', '1522492485', '1522492485');
INSERT INTO `work_teacher` VALUES ('6', '0200753002', '小二', '541afc79439d1ddb441a270f2ee3947f', '1028', '信息工程学院', '', '', '1', '1522492506', '1522492506');
|
/**Transactions Inquiry*/
create or replace view BOOKINGLIST
as
select MEMBERGROUP.PRIORITY,
TRANSACTIONNO,
TRANSACTIONDATE,
DUEDATE,
TRANSACTION.MEMBERID,
MEMBER.NAME,
DOCUMENTNO,
TRANSACTION.ITEMNO,
ITEM.PRIMARYTITLE,
COPYNO,
TRANSACTION.STATUS,
TRANSACTION.AUDUSER,
TRANSACTION.AUDTIME
from TRANSACTION, MEMBER, MEMBERGROUP, ITEM
where TRANSACTIONTYPE = 0
and TRANSACTION.MEMBERID = MEMBER.MEMBERID
and MEMBER.GROUPID = MEMBERGROUP.GROUPID
and TRANSACTION.ITEMNO = ITEM.ITEMNO
and TRANSACTION.STATUS = 1
and DUEDATE >= sysdate
and COPYNO is not null
and TRANSACTIONNO not in
( SELECT REFERENCENO
FROM LOANDETAIL)
/
create or replace view BOOKINGOVERDUELIST
as
select MEMBERGROUP.PRIORITY,
TRANSACTIONNO,
TRANSACTIONDATE,
DUEDATE,
TRANSACTION.MEMBERID,
MEMBER.NAME,
DOCUMENTNO,
TRANSACTION.ITEMNO,
ITEM.PRIMARYTITLE,
COPYNO,
TRANSACTION.STATUS,
TRANSACTION.AUDUSER,
TRANSACTION.AUDTIME
from TRANSACTION, MEMBER, MEMBERGROUP, ITEM
where TRANSACTIONTYPE = 0
and TRANSACTION.MEMBERID = MEMBER.MEMBERID
and MEMBER.GROUPID = MEMBERGROUP.GROUPID
and TRANSACTION.ITEMNO = ITEM.ITEMNO
and TRANSACTION.STATUS = 1
and DUEDATE < sysdate
and COPYNO is not null
and TRANSACTIONNO not in
( SELECT REFERENCENO
FROM LOANDETAIL)
/
create or replace view WAITINGLIST
as
select MEMBERGROUP.PRIORITY,
TRANSACTIONNO,
TRANSACTIONDATE,
DUEDATE,
TRANSACTION.MEMBERID,
MEMBER.NAME,
DOCUMENTNO,
TRANSACTION.ITEMNO,
ITEM.PRIMARYTITLE,
COPYNO,
TRANSACTION.STATUS,
TRANSACTION.AUDUSER,
TRANSACTION.AUDTIME
from TRANSACTION, MEMBER, MEMBERGROUP, ITEM
where TRANSACTIONTYPE = 0
and TRANSACTION.MEMBERID = MEMBER.MEMBERID
and MEMBER.GROUPID = MEMBERGROUP.GROUPID
and TRANSACTION.ITEMNO = ITEM.ITEMNO
and TRANSACTION.STATUS = 1
and DUEDATE >= sysdate
and COPYNO is null
and TRANSACTIONNO not in
( SELECT REFERENCENO
FROM LOANDETAIL)
/
create or replace view WAITINGOVERDUELIST
as
select MEMBERGROUP.PRIORITY,
TRANSACTIONNO,
TRANSACTIONDATE,
DUEDATE,
TRANSACTION.MEMBERID,
MEMBER.NAME,
DOCUMENTNO,
TRANSACTION.ITEMNO,
ITEM.PRIMARYTITLE,
COPYNO,
TRANSACTION.STATUS,
TRANSACTION.AUDUSER,
TRANSACTION.AUDTIME
from TRANSACTION, MEMBER, MEMBERGROUP, ITEM
where TRANSACTIONTYPE = 0
and TRANSACTION.MEMBERID = MEMBER.MEMBERID
and MEMBER.GROUPID = MEMBERGROUP.GROUPID
and TRANSACTION.ITEMNO = ITEM.ITEMNO
and TRANSACTION.STATUS = 1
and DUEDATE < sysdate
and COPYNO is null
and TRANSACTIONNO not in
( SELECT REFERENCENO
FROM LOANDETAIL)
/
create or replace view EXPANSIONLIST
as
select MEMBERGROUP.PRIORITY,
TRANSACTIONNO,
TRANSACTIONDATE,
DUEDATE,
TRANSACTION.MEMBERID,
MEMBER.NAME,
DOCUMENTNO,
REFERENCENO,
TRANSACTION.ITEMNO,
ITEM.PRIMARYTITLE,
COPYNO,
TRANSACTION.STATUS,
TRANSACTION.AUDUSER,
TRANSACTION.AUDTIME
from TRANSACTION, MEMBER, MEMBERGROUP, ITEM
where TRANSACTIONTYPE = 2
and TRANSACTION.MEMBERID = MEMBER.MEMBERID
and MEMBER.GROUPID = MEMBERGROUP.GROUPID
and TRANSACTION.ITEMNO = ITEM.ITEMNO
and TRANSACTION.STATUS = 1
and DUEDATE >= sysdate
and TRANSACTIONNO not in
( SELECT REFERENCENO
FROM EXPANSIONDETAIL)
/
create or replace view LOANLIST
as
select L.TRANSACTIONNO,
L.TRANSACTIONDATE,
L.MEMBERID,
MEMBER.NAME,
L.DOCUMENTNO,
L.REFERENCENO,
L.ITEMNO,
ITEM.PRIMARYTITLE,
L.COPYNO,
L.STATUS,
L.AUDUSER,
L.AUDTIME,
GREATEST(NVL(MAX(E.DUEDATE), L.DUEDATE), L.DUEDATE) DUEDATE
from TRANSACTION L, TRANSACTION E, MEMBER, MEMBERGROUP, ITEM
where L.TRANSACTIONTYPE = 1
and L.TRANSACTIONNO = E.REFERENCENO(+)
and L.MEMBERID = MEMBER.MEMBERID
and MEMBER.GROUPID = MEMBERGROUP.GROUPID
and L.ITEMNO = ITEM.ITEMNO
and L.STATUS = 1
and L.TRANSACTIONNO not in
( SELECT REFERENCENO
FROM RETURNDETAIL)
and
( L.DUEDATE >= sysdate
or L.TRANSACTIONNO in (
select REFERENCENO
from EXPANSIONLIST
)
)
group by L.TRANSACTIONNO,
L.TRANSACTIONDATE,
L.DUEDATE,
L.MEMBERID,
MEMBER.NAME,
L.DOCUMENTNO,
L.REFERENCENO,
L.ITEMNO,
ITEM.PRIMARYTITLE,
L.COPYNO,
L.STATUS,
L.AUDUSER,
L.AUDTIME
/
create or replace view LOANOVERDUELIST
as
select L.TRANSACTIONNO,
L.TRANSACTIONDATE,
L.MEMBERID,
MEMBER.NAME,
L.DOCUMENTNO,
L.REFERENCENO,
L.ITEMNO,
ITEM.PRIMARYTITLE,
L.COPYNO,
L.STATUS,
L.AUDUSER,
L.AUDTIME,
GREATEST(NVL(MAX(E.DUEDATE), L.DUEDATE), L.DUEDATE) DUEDATE
from TRANSACTION L, TRANSACTION E, MEMBER, MEMBERGROUP, ITEM
where L.TRANSACTIONTYPE = 1
and L.TRANSACTIONNO = E.REFERENCENO(+)
and L.MEMBERID = MEMBER.MEMBERID
and MEMBER.GROUPID = MEMBERGROUP.GROUPID
and L.ITEMNO = ITEM.ITEMNO
and L.STATUS = 1
and L.TRANSACTIONNO not in
( SELECT REFERENCENO
FROM RETURNDETAIL)
and L.DUEDATE < sysdate
and L.TRANSACTIONNO not in
(
select REFERENCENO
from EXPANSIONLIST
)
group by L.TRANSACTIONNO,
L.TRANSACTIONDATE,
L.DUEDATE,
L.MEMBERID,
MEMBER.NAME,
L.DOCUMENTNO,
L.REFERENCENO,
L.ITEMNO,
ITEM.PRIMARYTITLE,
L.COPYNO,
L.STATUS,
L.AUDUSER,
L.AUDTIME
/
create or replace view TRANSACTIONOVERDUE
as
select L.TRANSACTIONNO,
L.TRANSACTIONTYPE,
L.TRANSACTIONDATE,
L.MEMBERID,
MEMBER.NAME,
L.DOCUMENTNO,
L.REFERENCENO,
L.ITEMNO,
ITEM.PRIMARYTITLE,
L.COPYNO,
L.STATUS,
L.AUDUSER,
L.AUDTIME,
GREATEST(NVL(MAX(E.DUEDATE), L.DUEDATE), L.DUEDATE) DUEDATE
from TRANSACTION L, TRANSACTION E, MEMBER, MEMBERGROUP, ITEM
where L.TRANSACTIONTYPE <> 2
and L.TRANSACTIONTYPE <> 4
and L.TRANSACTIONNO = E.REFERENCENO(+)
and L.MEMBERID = MEMBER.MEMBERID
and MEMBER.GROUPID = MEMBERGROUP.GROUPID
and L.ITEMNO = ITEM.ITEMNO
and L.STATUS = 1
and L.TRANSACTIONNO not in
( SELECT REFERENCENO
FROM RETURNDETAIL)
and L.DUEDATE < sysdate
and L.TRANSACTIONNO not in
(
select REFERENCENO
from EXPANSIONLIST
)
group by L.TRANSACTIONNO,
L.TRANSACTIONTYPE,
L.TRANSACTIONDATE,
L.DUEDATE,
L.MEMBERID,
MEMBER.NAME,
L.DOCUMENTNO,
L.REFERENCENO,
L.ITEMNO,
ITEM.PRIMARYTITLE,
L.COPYNO,
L.STATUS,
L.AUDUSER,
L.AUDTIME
/
/**Full view**/
create or replace view MEMBERVIEW
as
select MEMBERID,
MEMBER.NAME NAME,
MEMBER.GROUPID,
MEMBERGROUP.NAME GROUPNAME,
GENDER,
BIRTHDAY,
ADDRESS,
PHONE,
FAX,
EMAIL,
PASSWORD,
PICTURETYPE,
PICTURE,
ISSUEDDATE,
EXPIREDATE,
MEMBER.STATUS,
MEMBERGROUP.PRIORITY,
MEMBERGROUP.MAXBOOKINGS,
MEMBERGROUP.MAXLOANS,
MEMBERGROUP.MAXEXPANSIONS,
MEMBERGROUP.BOOKINGDURATION,
MEMBERGROUP.LOANDURATION,
MEMBERGROUP.EXPANSIONDURATION,
MEMBERGROUP.MEMBERSHIPDURATION,
MEMBERGROUP.CHARGERATE,
MEMBER.AUDUSER,
MEMBER.AUDTIME
from MEMBER,
MEMBERGROUP
where MEMBER.GROUPID = MEMBERGROUP.GROUPID
/
create or replace view BOOKINGVIEW
as
select DOCUMENTNO,
DOCUMENTDATE,
BOOKING.MEMBERID,
MEMBER.NAME,
BOOKING.STATUS,
POSTEDDATE,
BOOKING.AUDUSER,
BOOKING.AUDTIME
from BOOKING,
MEMBER
where BOOKING.MEMBERID = MEMBER.MEMBERID
/
create or replace view BOOKINGDETAILVIEW
as
select DOCUMENTNO,
BOOKINGDETAIL.ITEMNO,
ITEM.PRIMARYTITLE,
DETAILDATE,
BOOKINGDETAIL.AUDUSER,
BOOKINGDETAIL.AUDTIME
from BOOKINGDETAIL,
ITEM
where BOOKINGDETAIL.ITEMNO = ITEM.ITEMNO
/
create or replace view LOANVIEW
as
select DOCUMENTNO,
DOCUMENTDATE,
LOAN.MEMBERID,
MEMBER.NAME,
LOAN.STATUS,
POSTEDDATE,
LOAN.AUDUSER,
LOAN.AUDTIME
from LOAN,
MEMBER
where LOAN.MEMBERID = MEMBER.MEMBERID
/
create or replace view LOANDETAILVIEW
as
select DOCUMENTNO,
LOANDETAIL.ITEMNO,
LOANDETAIL.COPYNO,
ITEM.PRIMARYTITLE,
COPY.COPYTYPE,
COPY.LOCATION,
DETAILDATE,
REFERENCENO,
LOANDETAIL.AUDUSER,
LOANDETAIL.AUDTIME
from LOANDETAIL,
ITEM,
COPY
where LOANDETAIL.ITEMNO = ITEM.ITEMNO
and LOANDETAIL.ITEMNO = COPY.ITEMNO
and LOANDETAIL.COPYNO = COPY.COPYNO
/
create or replace view EXPANSIONVIEW
as
select DOCUMENTNO,
DOCUMENTDATE,
EXPANSION.MEMBERID,
MEMBER.NAME,
EXPANSION.STATUS,
POSTEDDATE,
EXPANSION.AUDUSER,
EXPANSION.AUDTIME
from EXPANSION,
MEMBER
where EXPANSION.MEMBERID = MEMBER.MEMBERID
/
create or replace view EXPANSIONDETAILVIEW
as
select DOCUMENTNO,
EXPANSIONDETAIL.ITEMNO,
EXPANSIONDETAIL.COPYNO,
ITEM.PRIMARYTITLE,
COPY.COPYTYPE,
COPY.LOCATION,
DETAILDATE,
REFERENCENO,
EXPANSIONDETAIL.AUDUSER,
EXPANSIONDETAIL.AUDTIME
from EXPANSIONDETAIL,
ITEM,
COPY
where EXPANSIONDETAIL.ITEMNO = ITEM.ITEMNO
and EXPANSIONDETAIL.ITEMNO = COPY.ITEMNO
and EXPANSIONDETAIL.COPYNO = COPY.COPYNO
/
create or replace view RETURNVIEW
as
select DOCUMENTNO,
DOCUMENTDATE,
RETURN.MEMBERID,
MEMBER.NAME,
RETURN.STATUS,
POSTEDDATE,
RETURN.AUDUSER,
RETURN.AUDTIME
from RETURN,
MEMBER
where RETURN.MEMBERID = MEMBER.MEMBERID
/
create or replace view RETURNDETAILVIEW
as
select DOCUMENTNO,
RETURNDETAIL.ITEMNO,
RETURNDETAIL.COPYNO,
ITEM.PRIMARYTITLE,
COPY.COPYTYPE,
COPY.LOCATION,
DETAILDATE,
REFERENCENO,
RETURNDETAIL.AUDUSER,
RETURNDETAIL.AUDTIME
from RETURNDETAIL,
ITEM,
COPY
where RETURNDETAIL.ITEMNO = ITEM.ITEMNO
and RETURNDETAIL.ITEMNO = COPY.ITEMNO
and RETURNDETAIL.COPYNO = COPY.COPYNO
/
create or replace view TRANSACTIONVIEW
as
select TRANSACTIONNO,
TRANSACTIONTYPE,
TRANSACTIONDATE,
DUEDATE,
TRANSACTION.MEMBERID,
MEMBER.NAME,
MEMBERGROUP.GROUPID,
MEMBERGROUP.NAME GROUPNAME,
DOCUMENTNO,
REFERENCENO,
TRANSACTION.ITEMNO,
ITEM.PRIMARYTITLE,
TRANSACTION.COPYNO,
COPY.COPYTYPE,
CLASSIFICATION.DDCID || ITEM.EDITION LOCATION,
TRANSACTION.STATUS,
TRANSACTION.AUDUSER,
TRANSACTION.AUDTIME
from TRANSACTION,
MEMBER,
MEMBERGROUP,
ITEM,
COPY,
CLASSIFICATION,
ITEM_CLASSIFICATION
where TRANSACTION.MEMBERID = MEMBER.MEMBERID
and MEMBER.GROUPID = MEMBERGROUP.GROUPID
and TRANSACTION.ITEMNO = ITEM.ITEMNO
and TRANSACTION.ITEMNO(+) = COPY.ITEMNO
and TRANSACTION.COPYNO(+) = COPY.COPYNO
and ITEM.ITEMNO = ITEM_CLASSIFICATION.ITEMNO(+)
and ITEM_CLASSIFICATION.DDCID = CLASSIFICATION.DDCID(+)
/
create or replace view ITEMVIEW
as
select ITEM.ITEMNO,
ITEM.PRIMARYTITLE,
ITEM.EDITION,
ITEM.IMPRINT,
ITEM.PHYSICALDESCRIPTION,
LANGUAGE.LANGUAGEID,
LANGUAGE.NAME LANGUAGE,
FORMAT.FORMATID,
FORMAT.NAME FORMAT,
CLASSIFICATION.DDCID,
CLASSIFICATION.NAME CLASSIFICATION,
ITEM.AUDUSER,
ITEM.AUDTIME
from ITEM,
LANGUAGE,
ITEM_LANGUAGE,
FORMAT,
ITEM_FORMAT,
CLASSIFICATION,
ITEM_CLASSIFICATION
where ITEM.ITEMNO = ITEM_LANGUAGE.ITEMNO(+)
and ITEM_LANGUAGE.LANGUAGEID = LANGUAGE.LANGUAGEID(+)
and ITEM.ITEMNO = ITEM_FORMAT.ITEMNO(+)
and ITEM_FORMAT.FORMATID = FORMAT.FORMATID(+)
and ITEM.ITEMNO = ITEM_CLASSIFICATION.ITEMNO(+)
and ITEM_CLASSIFICATION.DDCID = CLASSIFICATION.DDCID(+)
/
create or replace view ITEMNAME
as
select ITEM_NAME.ITEMNO,
ITEM_NAME.TAG,
NAME.NAMEID,
NAME.NAME,
NAME.LOCATION
from ITEM_NAME,
NAME
where ITEM_NAME.NAMEID = NAME.NAMEID
/
create or replace view ITEMKEYWORD
as
select ITEM_KEYWORD.ITEMNO,
KEYWORD.KEYWORDID,
KEYWORD.KEYWORD
from ITEM_KEYWORD,
KEYWORD
where ITEM_KEYWORD.KEYWORDID = KEYWORD.KEYWORDID
/
create or replace view SEARCHVIEW
as
select ITEM.ITEMNO,
ITEM.PRIMARYTITLE,
OTHERTITLE.OTHERTITLE,
NOTE.NOTE,
ITEM.EDITION,
ITEM.IMPRINT,
ITEM.PHYSICALDESCRIPTION,
NAME.NAME AUTHOR,
LANGUAGE.NAME LANGUAGE,
FORMAT.NAME FORMAT,
CLASSIFICATION.DDCID,
CLASSIFICATION.NAME CLASSIFICATION,
KEYWORD.KEYWORD
from ITEM,
OTHERTITLE,
NOTE,
NAME, ITEM_NAME,
LANGUAGE, ITEM_LANGUAGE,
FORMAT, ITEM_FORMAT,
CLASSIFICATION, ITEM_CLASSIFICATION,
KEYWORD, ITEM_KEYWORD
where ITEM.ITEMNO = OTHERTITLE.ITEMNO(+)
and ITEM.ITEMNO = NOTE.ITEMNO(+)
and ITEM.ITEMNO = ITEM_NAME.ITEMNO(+)
and ITEM_NAME.NAMEID = NAME.NAMEID(+)
and ITEM.ITEMNO = ITEM_LANGUAGE.ITEMNO(+)
and ITEM_LANGUAGE.LANGUAGEID = LANGUAGE.LANGUAGEID(+)
and ITEM.ITEMNO = ITEM_FORMAT.ITEMNO(+)
and ITEM_FORMAT.FORMATID = FORMAT.FORMATID(+)
and ITEM.ITEMNO = ITEM_CLASSIFICATION.ITEMNO(+)
and ITEM_CLASSIFICATION.DDCID = CLASSIFICATION.DDCID(+)
and ITEM.ITEMNO = ITEM_KEYWORD.ITEMNO(+)
and ITEM_KEYWORD.KEYWORDID = KEYWORD.KEYWORDID(+)
/ |
-- import
call syscs_util.import_data_ex('APP', 'CONTEXT_HISTORY', null,null, '/rdiyewar1/gemfire/gemfirexd_rebrand_Dec13/gemfirexd/GemFireXDTests/lib/joinquerytodap/CONTEXT_HISTORY.dat', ',', NULL, NULL, 0, 0, 6, 0, null, null);
call syscs_util.import_data_ex('APP', 'CHART_HISTORY', null,null, '/rdiyewar1/gemfire/gemfirexd_rebrand_Dec13/gemfirexd/GemFireXDTests/lib/joinquerytodap/CHART_HISTORY.dat', ',', NULL, NULL, 0, 0, 6, 0, null, null);
call syscs_util.import_data_ex('APP', 'RECEIVED_HISTORY_LOG', null,null, '/rdiyewar1/gemfire/gemfirexd_rebrand_Dec13/gemfirexd/GemFireXDTests/lib/joinquerytodap/RECEIVED_HISTORY_LOG.dat', ',', NULL, NULL, 0, 0, 6, 0, null, null);
|
<filename>openGaussBase/testcase/KEYWORDS/Following/Opengauss_Function_Keyword_Following_Case0023.sql
-- @testpoint: opengauss关键字following(非保留)，作为索引名，部分测试点合理报错
--前置条件，创建一个表
drop table if exists following_test;
create table following_test(id int,name varchar(10));
--关键字不带引号-成功
drop index if exists following;
create index following on following_test(id);
drop index following;
--关键字带双引号-成功
drop index if exists "following";
create index "following" on following_test(id);
drop index "following";
--关键字带单引号-合理报错
drop index if exists 'following';
create index 'following' on following_test(id);
--关键字带反引号-合理报错
drop index if exists `following`;
create index `following` on following_test(id);
drop table if exists following_test;
|
<filename>entity/object/document/job/init.sql
--------------------------------------------------------------------------------
-- Initialization --------------------------------------------------------------
--------------------------------------------------------------------------------
--------------------------------------------------------------------------------
-- AddJobMethods ---------------------------------------------------------------
--------------------------------------------------------------------------------
CREATE OR REPLACE FUNCTION AddJobMethods (
pClass uuid
)
RETURNS void
AS $$
DECLARE
uState uuid;
rec_type record;
rec_state record;
rec_method record;
BEGIN
-- Операции (без учёта состояния)
PERFORM DefaultMethods(pClass);
-- Операции (с учётом состояния)
FOR rec_type IN SELECT * FROM StateType
LOOP
CASE rec_type.code
WHEN 'created' THEN
uState := AddState(pClass, rec_type.id, rec_type.code, 'Создано');
PERFORM AddMethod(null, pClass, uState, GetAction('enable'));
PERFORM AddMethod(null, pClass, uState, GetAction('disable'));
PERFORM AddMethod(null, pClass, uState, GetAction('delete'));
WHEN 'enabled' THEN
uState := AddState(pClass, rec_type.id, rec_type.code, 'Включено');
PERFORM AddMethod(null, pClass, uState, GetAction('execute'));
PERFORM AddMethod(null, pClass, uState, GetAction('disable'));
PERFORM AddMethod(null, pClass, uState, GetAction('delete'));
uState := AddState(pClass, rec_type.id, 'executed', 'Выполняется');
PERFORM AddMethod(null, pClass, uState, GetAction('complete'), pvisible => false);
PERFORM AddMethod(null, pClass, uState, GetAction('done'), pvisible => false);
PERFORM AddMethod(null, pClass, uState, GetAction('fail'), pvisible => false);
PERFORM AddMethod(null, pClass, uState, GetAction('cancel'));
uState := AddState(pClass, rec_type.id, 'canceled', 'Отменяется');
PERFORM AddMethod(null, pClass, uState, GetAction('abort'), pvisible => false);
uState := AddState(pClass, rec_type.id, 'aborted', 'Прервано');
PERFORM AddMethod(null, pClass, uState, GetAction('execute'));
PERFORM AddMethod(null, pClass, uState, GetAction('disable'));
PERFORM AddMethod(null, pClass, uState, GetAction('delete'));
uState := AddState(pClass, rec_type.id, 'failed', 'Ошибка');
PERFORM AddMethod(null, pClass, uState, GetAction('execute'));
PERFORM AddMethod(null, pClass, uState, GetAction('disable'));
PERFORM AddMethod(null, pClass, uState, GetAction('delete'));
WHEN 'disabled' THEN
uState := AddState(pClass, rec_type.id, 'disabled', 'Отключено');
PERFORM AddMethod(null, pClass, uState, GetAction('enable'));
PERFORM AddMethod(null, pClass, uState, GetAction('delete'));
uState := AddState(pClass, rec_type.id, 'completed', 'Завершено');
PERFORM AddMethod(null, pClass, uState, GetAction('enable'));
PERFORM AddMethod(null, pClass, uState, GetAction('delete'));
WHEN 'deleted' THEN
uState := AddState(pClass, rec_type.id, rec_type.code, 'Удалено');
PERFORM AddMethod(null, pClass, uState, GetAction('restore'));
PERFORM AddMethod(null, pClass, uState, GetAction('drop'));
END CASE;
END LOOP;
PERFORM DefaultTransition(pClass);
-- Переходы из состояния в состояние
FOR rec_state IN SELECT * FROM State WHERE class = pClass
LOOP
CASE rec_state.code
WHEN 'created' THEN
FOR rec_method IN SELECT * FROM Method WHERE state = rec_state.id
LOOP
IF rec_method.actioncode = 'enable' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'enabled'));
END IF;
IF rec_method.actioncode = 'disable' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'disabled'));
END IF;
IF rec_method.actioncode = 'delete' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'deleted'));
END IF;
END LOOP;
WHEN 'enabled' THEN
FOR rec_method IN SELECT * FROM Method WHERE state = rec_state.id
LOOP
IF rec_method.actioncode = 'execute' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'executed'));
END IF;
IF rec_method.actioncode = 'disable' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'disabled'));
END IF;
IF rec_method.actioncode = 'delete' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'deleted'));
END IF;
END LOOP;
WHEN 'executed' THEN
FOR rec_method IN SELECT * FROM Method WHERE state = rec_state.id
LOOP
IF rec_method.actioncode = 'complete' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'completed'));
END IF;
IF rec_method.actioncode = 'done' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'enabled'));
END IF;
IF rec_method.actioncode = 'fail' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'failed'));
END IF;
IF rec_method.actioncode = 'cancel' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'canceled'));
END IF;
END LOOP;
WHEN 'canceled' THEN
FOR rec_method IN SELECT * FROM Method WHERE state = rec_state.id
LOOP
IF rec_method.actioncode = 'abort' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'aborted'));
END IF;
END LOOP;
WHEN 'failed' THEN
FOR rec_method IN SELECT * FROM Method WHERE state = rec_state.id
LOOP
IF rec_method.actioncode = 'execute' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'executed'));
END IF;
IF rec_method.actioncode = 'disable' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'disabled'));
END IF;
IF rec_method.actioncode = 'delete' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'deleted'));
END IF;
END LOOP;
WHEN 'aborted' THEN
FOR rec_method IN SELECT * FROM Method WHERE state = rec_state.id
LOOP
IF rec_method.actioncode = 'execute' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'executed'));
END IF;
IF rec_method.actioncode = 'disable' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'disabled'));
END IF;
IF rec_method.actioncode = 'delete' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'deleted'));
END IF;
END LOOP;
WHEN 'disabled' THEN
FOR rec_method IN SELECT * FROM Method WHERE state = rec_state.id
LOOP
IF rec_method.actioncode = 'enable' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'enabled'));
END IF;
IF rec_method.actioncode = 'delete' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'deleted'));
END IF;
END LOOP;
WHEN 'completed' THEN
FOR rec_method IN SELECT * FROM Method WHERE state = rec_state.id
LOOP
IF rec_method.actioncode = 'execute' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'executed'));
END IF;
IF rec_method.actioncode = 'delete' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'deleted'));
END IF;
END LOOP;
WHEN 'deleted' THEN
FOR rec_method IN SELECT * FROM Method WHERE state = rec_state.id
LOOP
IF rec_method.actioncode = 'restore' THEN
PERFORM AddTransition(rec_state.id, rec_method.id, GetState(pClass, 'created'));
END IF;
END LOOP;
END CASE;
END LOOP;
END;
$$ LANGUAGE plpgsql
SECURITY DEFINER
SET search_path = kernel, pg_temp;
--------------------------------------------------------------------------------
-- AddJobEvents ----------------------------------------------------------------
--------------------------------------------------------------------------------
CREATE OR REPLACE FUNCTION AddJobEvents (
pClass uuid
)
RETURNS void
AS $$
DECLARE
r record;
uParent uuid;
uEvent uuid;
BEGIN
uParent := GetEventType('parent');
uEvent := GetEventType('event');
FOR r IN SELECT * FROM Action
LOOP
IF r.code = 'create' THEN
PERFORM AddEvent(pClass, uParent, r.id, 'События класса родителя');
PERFORM AddEvent(pClass, uEvent, r.id, 'Задание создано', 'EventJobCreate();');
END IF;
IF r.code = 'open' THEN
PERFORM AddEvent(pClass, uParent, r.id, 'События класса родителя');
PERFORM AddEvent(pClass, uEvent, r.id, 'Задание открыто', 'EventJobOpen();');
END IF;
IF r.code = 'edit' THEN
PERFORM AddEvent(pClass, uParent, r.id, 'События класса родителя');
PERFORM AddEvent(pClass, uEvent, r.id, 'Задание изменено', 'EventJobEdit();');
END IF;
IF r.code = 'save' THEN
PERFORM AddEvent(pClass, uParent, r.id, 'События класса родителя');
PERFORM AddEvent(pClass, uEvent, r.id, 'Задание сохранено', 'EventJobSave();');
END IF;
IF r.code = 'enable' THEN
PERFORM AddEvent(pClass, uParent, r.id, 'События класса родителя');
PERFORM AddEvent(pClass, uEvent, r.id, 'Задание включено', 'EventJobEnable();');
END IF;
IF r.code = 'disable' THEN
PERFORM AddEvent(pClass, uParent, r.id, 'События класса родителя');
PERFORM AddEvent(pClass, uEvent, r.id, 'Задание отключено', 'EventJobDisable();');
END IF;
IF r.code = 'execute' THEN
PERFORM AddEvent(pClass, uEvent, r.id, 'Смена состояния', 'ChangeObjectState();');
PERFORM AddEvent(pClass, uEvent, r.id, 'Задание выполняется', 'EventJobExecute();');
END IF;
IF r.code = 'complete' THEN
PERFORM AddEvent(pClass, uEvent, r.id, 'Задание завершено', 'EventJobComplete();');
PERFORM AddEvent(pClass, uEvent, r.id, 'Смена состояния', 'ChangeObjectState();');
END IF;
IF r.code = 'done' THEN
PERFORM AddEvent(pClass, uEvent, r.id, 'Смена состояния', 'ChangeObjectState();');
PERFORM AddEvent(pClass, uEvent, r.id, 'Задание выполнено', 'EventJobDone();');
END IF;
IF r.code = 'fail' THEN
PERFORM AddEvent(pClass, uEvent, r.id, 'Смена состояния', 'ChangeObjectState();');
PERFORM AddEvent(pClass, uEvent, r.id, 'Сбой при выполнении задания', 'EventJobFail();');
END IF;
IF r.code = 'abort' THEN
PERFORM AddEvent(pClass, uEvent, r.id, 'Смена состояния', 'ChangeObjectState();');
PERFORM AddEvent(pClass, uEvent, r.id, 'Задание прервано', 'EventJobAbort();');
END IF;
IF r.code = 'cancel' THEN
PERFORM AddEvent(pClass, uEvent, r.id, 'Смена состояния', 'ChangeObjectState();');
PERFORM AddEvent(pClass, uEvent, r.id, 'Задание отменено', 'EventJobCancel();');
END IF;
IF r.code = 'delete' THEN
PERFORM AddEvent(pClass, uEvent, r.id, 'Задание будет удалено', 'EventJobDelete();');
PERFORM AddEvent(pClass, uParent, r.id, 'События класса родителя');
END IF;
IF r.code = 'restore' THEN
PERFORM AddEvent(pClass, uParent, r.id, 'События класса родителя');
PERFORM AddEvent(pClass, uEvent, r.id, 'Задание восстановлено', 'EventJobRestore();');
END IF;
IF r.code = 'drop' THEN
PERFORM AddEvent(pClass, uEvent, r.id, 'Задание будет уничтожено', 'EventJobDrop();');
PERFORM AddEvent(pClass, uParent, r.id, 'События класса родителя');
END IF;
END LOOP;
END
$$ LANGUAGE plpgsql
SECURITY DEFINER
SET search_path = kernel, pg_temp;
--------------------------------------------------------------------------------
-- CreateClassJob --------------------------------------------------------------
--------------------------------------------------------------------------------
CREATE OR REPLACE FUNCTION CreateClassJob (
pParent uuid,
pEntity uuid
)
RETURNS uuid
AS $$
DECLARE
uClass uuid;
BEGIN
-- Класс
uClass := AddClass(pParent, pEntity, 'job', 'Задание', false);
-- Тип
PERFORM AddType(uClass, 'periodic.job', 'Периодическое', 'Периодическое задание.');
PERFORM AddType(uClass, 'disposable.job', 'Разовое', 'Разовое задание.');
-- Событие
PERFORM AddJobEvents(uClass);
-- Метод
PERFORM AddJobMethods(uClass);
RETURN uClass;
END
$$ LANGUAGE plpgsql
SECURITY DEFINER
SET search_path = kernel, pg_temp;
--------------------------------------------------------------------------------
-- CreateEntityJob -------------------------------------------------------------
--------------------------------------------------------------------------------
CREATE OR REPLACE FUNCTION CreateEntityJob (
pParent uuid
)
RETURNS uuid
AS $$
DECLARE
uEntity uuid;
BEGIN
-- Сущность
uEntity := AddEntity('job', 'Задание');
-- Класс
PERFORM CreateClassJob(pParent, uEntity);
-- API
PERFORM RegisterRoute('job', AddEndpoint('SELECT * FROM rest.job($1, $2);'));
RETURN uEntity;
END
$$ LANGUAGE plpgsql
SECURITY DEFINER
SET search_path = kernel, pg_temp;
|
<gh_stars>0
USE [vulnuscloud]
GO
CREATE TABLE [dbo].[project](
[id] [int] NOT NULL PRIMARY KEY IDENTITY,
[project_name] [varchar](50) NULL
) ON [PRIMARY]
GO |
<filename>MySQL Physics in Motion DB/insert 1 quote and lab test data for database.sql
/* initialize test data for the database */
use physics_in_motion;
/* quote of the month */
insert into quote (author, quote_text, month_posted, year_posted)
values ("<NAME>", "Shoot for the Moon. Even if you miss, you'll land among the stars.", "12", "2018"),
("<NAME>", "The future belongs to those who beleive in the beauty of their dreams.", "01", "2019"),
("<NAME>", "Life isn't about waiting for the storm to pass. It's about learning how to dance in the rain.", "02", "2019"),
("<NAME>", "Life shrinks or expands in proportion to one's courage.", "3", "2019"),
("<NAME>", "Life begins at the end of your comfort zone.", "4", "2019"),
("Unknown", "Life isn't about finding yourself. Life is about creating yourself.", "5", "2019");
select * from quote;
/* tutorial labs */
insert into tutorial_lab (tutorial_lab_id, tutorial_lab_name, tutorial_lab_web_link, lab_status, filepath)
values
(101, "Vector Calculus of 3D Volumes and Surfaces", "vector_calc_3d_volumes_surfaces",
"New", "tutorial_lab/id_101"),
(102, "Beginning RC Circuits", "begin_rc_circuit", "New", "tutorial_lab/id_102"),
(103, "Linear Motion and Collisions", "linear_motion_collision", "Development", "tutorial_lab/id_103"),
(104, "The Photoelectric Effect from Quantum Physics", "photoelectric_effect_quantum_physics",
"Development", "tutorial_lab/id_104");
update tutorial_lab
set tutorial_lab_introduction = "Solve and graph equations for 3D volumes and surfaces, in cartesian, polar,
or cylindrical coordinates. Topics include gradient, tangent, normal, divergence,
curl, Green’s Theorem, Stokes’ Theorem, and Gauss’ Theorem."
where tutorial_lab_id = 101;
update tutorial_lab
set tutorial_lab_introduction = "Experiment with DC circuits using resisters, capacitors, and diodes. Topics include
parallel and series resistance and capacitance, Ohm’s law, and Kirchhoff’s law."
where tutorial_lab_id = 102;
update tutorial_lab
set tutorial_lab_introduction = "Vary inclines, masses, and friction, while collecting and analyzing data on distance,
time, and velocity. Topics include linear motion, collisions, and conservation of linear momentum."
where tutorial_lab_id = 103;
update tutorial_lab
set tutorial_lab_introduction = "Light shining on metal causes the release of electrons which are detected as current.
But the data broke Classical Physics theory about the behavior of light. The famous experiment that
lead to the Nobel Prize for Einstein."
where tutorial_lab_id = 104;
/* more tutorial labs */
insert into tutorial_lab (tutorial_lab_id, tutorial_lab_name, tutorial_lab_web_link, lab_status, filepath)
values
(105, "Discrete Mathematics", "discrete_math", "Development", "tutorial_lab/id_105"),
(106, "Beginning Orbital Trajectories", "begin_oribits", "Development", "tutorial_lab/id_106"),
(107, "2D and 3D Collisions", "2D_3D_collisions", "Development", "tutorial_lab/id_107"),
(108, "Beginning Springs and Pendulums", "begin_spring_pendulum", "Development", "tutorial_lab/id_108");
update tutorial_lab
set tutorial_lab_introduction = "Learn Discrete Mathematics."
where tutorial_lab_id = 105;
update tutorial_lab
set tutorial_lab_introduction = "Learn Beginning Orbital Trajectories."
where tutorial_lab_id = 106;
update tutorial_lab
set tutorial_lab_introduction = "Learn 2D and 3D Collisions."
where tutorial_lab_id = 107;
update tutorial_lab
set tutorial_lab_introduction = "Learn Beginning Springs and Pendulums."
where tutorial_lab_id = 108;
select * from tutorial_lab;
|
-- This file contains patches to the database, to take care of data that was added by mistake
-- Remove the Portuguese Empire, which is marked as a "super country", there are other countries
-- that have P17 edges to the Portuguese Empire, which confuses the queries - we do not assume
-- countries can belong to other countries
DELETE FROM edges WHERE node2='Q200464' or node1='Q200464'
|
DROP TABLE IF EXISTS user_table;
CREATE TABLE user_table (
id SERIAL PRIMARY KEY,
username VARCHAR(255)
);
DROP TABLE IF EXISTS food_table;
CREATE TABLE food_table(
id SERIAL PRIMARY KEY,
owner VARCHAR(255),
name VARCHAR(255),
image_url VARCHAR(255),
price VARCHAR(255),
rating VARCHAR(255),
address VARCHAR(255),
phone VARCHAR(255)
);
DROP TABLE IF EXISTS anime_table;
CREATE TABLE anime_table (
id SERIAL PRIMARY KEY,
owner VARCHAR(255),
name VARCHAR(255),
image_url VARCHAR(255)
); |
SELECT TownID, [Name]
FROM Towns
WHERE SUBSTRING([Name], 1, 1) IN('M', 'K', 'B', 'E')
ORDER BY [Name] ASC |
CREATE TABLE IF NOT EXISTS user_roles
( user_name VARCHAR(20) NOT NULL
, role_name VARCHAR(20) NOT NULL
, FOREIGN KEY (user_name)
REFERENCES users (user_name)
, FOREIGN KEY (role_name)
REFERENCES roles (role_name)
, PRIMARY KEY (user_name, role_name)
);
|
<gh_stars>0
-- phpMyAdmin SQL Dump
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-- https://www.phpmyadmin.net/
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-- Host: 127.0.0.1
-- Generation Time: Mar 04, 2020 at 11:07 AM
-- Server version: 10.4.11-MariaDB
-- PHP Version: 7.3.14
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
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-- Table structure for table `tbl_anggaran`
--
CREATE TABLE `tbl_anggaran` (
`id_anggaran` int(11) NOT NULL,
`id_klien` int(11) NOT NULL,
`tanggal` date NOT NULL,
`total_anggaran` double NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Table structure for table `tbl_bulan`
--
CREATE TABLE `tbl_bulan` (
`id_bulan` int(11) NOT NULL,
`nama_bulan` varchar(20) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `tbl_bulan`
--
INSERT INTO `tbl_bulan` (`id_bulan`, `nama_bulan`) VALUES
(1, 'January'),
(2, 'February'),
(3, 'March'),
(4, 'April'),
(5, 'May'),
(6, 'June'),
(7, 'July'),
(8, 'August'),
(9, 'September'),
(10, 'October'),
(11, 'November'),
(12, 'December');
-- --------------------------------------------------------
--
-- Table structure for table `tbl_detail_anggaran`
--
CREATE TABLE `tbl_detail_anggaran` (
`id_detail_anggaran` int(11) NOT NULL,
`id_anggaran` int(11) NOT NULL,
`id_pos` int(11) NOT NULL,
`total_detail_anggaran` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Table structure for table `tbl_klien`
--
CREATE TABLE `tbl_klien` (
`id_klien` int(11) NOT NULL,
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`nama_klien` varchar(100) NOT NULL,
`alamat_klien` varchar(200) NOT NULL,
`email_klien` varchar(200) NOT NULL,
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) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Table structure for table `tbl_peran`
--
CREATE TABLE `tbl_peran` (
`id_peran` int(11) NOT NULL,
`nama_peran` varchar(12) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Table structure for table `tbl_pos`
--
CREATE TABLE `tbl_pos` (
`id_pos` int(11) NOT NULL,
`kategori_pos` varchar(50) NOT NULL,
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) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Table structure for table `tbl_session`
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('cvhaks32lh85p9argkrj1elrucgdi5g5', '::1', 1583136298, 0x5f5f63695f6c6173745f726567656e65726174657c693a313538333133363239383b757365725f69647c733a313a2231223b757365725f6e616d657c733a353a2261646d696e223b757365725f706173737c733a33323a223231323332663239376135376135613734333839346130653461383031666333223b757365725f6e616d617c733a31333a2241646d696e6973747261746f72223b),
('njvo3o9rb20licc20nmqfn71mrhbeejj', '::1', 1583137728, 0x5f5f63695f6c6173745f726567656e65726174657c693a313538333133373732383b757365725f69647c733a313a2231223b757365725f6e616d657c733a353a2261646d696e223b757365725f706173737c733a33323a223231323332663239376135376135613734333839346130653461383031666333223b757365725f6e616d617c733a31333a2241646d696e6973747261746f72223b),
('<KEY>', '::1', 1583138031, 0x5f5f63695f6c6173745f726567656e65726174657c693a313538333133383033313b757365725f69647c733a313a2231223b757365725f6e616d657c733a353a2261646d696e223b757365725f706173737c733a33323a223231323332663239376135376135613734333839346130653461383031666333223b757365725f6e616d617c733a31333a2241646d696e6973747261746f72223b),
('tnujreko9arq7he4f2ho3bb43cd9v44n', '::1', 1583138474, 0x5f5f63695f6c6173745f726567656e65726174657c693a313538333133383437343b757365725f69647c733a313a2231223b757365725f6e616d657c733a353a2261646d696e223b757365725f706173737c733a33323a223231323332663239376135376135613734333839346130653461383031666333223b757365725f6e616d617c733a31333a2241646d696e6973747261746f72223b),
('h6qlf9n4b2eki2vd0l15ts46b0q6lnrg', '::1', 1583138788, 0x5f5f63695f6c6173745f726567656e65726174657c693a313538333133383738383b757365725f69647c733a313a2231223b757365725f6e616d657c733a353a2261646d696e223b757365725f706173737c733a33323a223231323332663239376135376135613734333839346130653461383031666333223b757365725f6e616d617c733a31333a2241646d696e6973747261746f72223b),
('<KEY>', '::1', 1583139249, 0x5f5f63695f6c6173745f726567656e65726174657c693a313538333133393234393b757365725f69647c733a313a2231223b757365725f6e616d657c733a353a2261646d696e223b757365725f706173737c733a33323a223231323332663239376135376135613734333839346130653461383031666333223b757365725f6e616d617c733a31333a2241646d696e6973747261746f72223b),
('66u2rbuk6mjqju5hmu4mgc8oelsfnc57', '::1', 1583140432, 0x5f5f63695f6c6173745f726567656e65726174657c693a313538333134303433323b757365725f69647c733a313a2231223b757365725f6e616d657c733a353a2261646d696e223b757365725f706173737c733a33323a223231323332663239376135376135613734333839346130653461383031666333223b757365725f6e616d617c733a31333a2241646d696e6973747261746f72223b),
('uiu7m8f4bmlmlbjp2m71gljsombo6tbl', '::1', 1583140741, 0x5f5f63695f6c6173745f726567656e65726174657c693a313538333134303734313b757365725f69647c733a313a2231223b757365725f6e616d657c733a353a2261646d696e223b757365725f706173737c733a33323a223231323332663239376135376135613734333839346130653461383031666333223b757365725f6e616d617c733a31333a2241646d696e6973747261746f72223b),
('7spnnivjv0p8vhvafcdg8t703jh3fspi', '::1', 1583142990, 0x5f5f63695f6c6173745f726567656e65726174657c693a313538333134323939303b757365725f69647c733a313a2231223b757365725f6e616d657c733a353a2261646d696e223b757365725f706173737c733a33323a223231323332663239376135376135613734333839346130653461383031666333223b757365725f6e616d617c733a31333a2241646d696e6973747261746f72223b),
('235jsqesv0j6cpi6s2pj7rtj0n0hmss1', '::1', 1583143406, 0x5f5f63695f6c6173745f726567656e65726174657c693a313538333134333430363b757365725f69647c733a313a2231223b757365725f6e616d657c733a353a2261646d696e223b757365725f706173737c733a33323a223231323332663239376135376135613734333839346130653461383031666333223b757365725f6e616d617c733a31333a2241646d696e6973747261746f72223b),
('s48rdufmo4a8k125qkssfvvs1aauca6e', '::1', 1583143415, 0x5f5f63695f6c6173745f726567656e65726174657c693a313538333134333430363b757365725f69647c733a313a2231223b757365725f6e616d657c733a353a2261646d696e223b757365725f706173737c733a33323a223231323332663239376135376135613734333839346130653461383031666333223b757365725f6e616d617c733a31333a2241646d696e6973747261746f72223b),
('hvpe1bp3911slh3a5p7pq59442hobkhe', '::1', 1583211119, 0x5f5f63695f6c6173745f726567656e65726174657c693a313538333231313131393b757365725f69647c733a313a2231223b757365725f6e616d657c733a353a2261646d696e223b757365725f706173737c733a33323a223231323332663239376135376135613734333839346130653461383031666333223b757365725f6e616d617c733a31333a2241646d696e6973747261746f72223b),
('jdh259c13167ulaald7u5kfnovuk4nsv', '::1', 1583211119, 0x5f5f63695f6c6173745f726567656e65726174657c693a313538333231313131393b757365725f69647c733a313a2231223b757365725f6e616d657c733a353a2261646d696e223b757365725f706173737c733a33323a223231323332663239376135376135613734333839346130653461383031666333223b757365725f6e616d617c733a31333a2241646d696e6973747261746f72223b),
('i4qnr1j7kn8l9k1488jesc3ks3a87tsp', '::1', 1583229116, 0x5f5f63695f6c6173745f726567656e65726174657c693a313538333232393130393b757365725f69647c733a313a2231223b757365725f6e616d657c733a353a2261646d696e223b757365725f706173737c733a33323a223231323332663239376135376135613734333839346130653461383031666333223b757365725f6e616d617c733a31333a2241646d696e6973747261746f72223b);
-- --------------------------------------------------------
--
-- Table structure for table `tbl_staff`
--
CREATE TABLE `tbl_staff` (
`id_staff` int(11) NOT NULL,
`id_peran` varchar(11) NOT NULL,
`nama_staff` varchar(50) NOT NULL,
`telepon_staff` varchar(20) NOT NULL,
`gaji_staff` double NOT NULL,
`username` varchar(20) NOT NULL,
`password` varchar(30) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Table structure for table `tbl_users`
--
CREATE TABLE `tbl_users` (
`id_user` int(150) NOT NULL,
`nama_user` varchar(150) NOT NULL,
`username` varchar(150) NOT NULL,
`password` varchar(150) NOT NULL,
`created_at` datetime NOT NULL,
`updated_at` datetime NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tbl_users`
--
INSERT INTO `tbl_users` (`id_user`, `nama_user`, `username`, `password`, `created_at`, `updated_at`) VALUES
(1, 'Administrator', 'admin', '<PASSWORD>', '2017-02-21 04:14:16', '2017-03-06 13:42:37');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `tbl_bulan`
--
ALTER TABLE `tbl_bulan`
ADD PRIMARY KEY (`id_bulan`);
--
-- Indexes for table `tbl_klien`
--
ALTER TABLE `tbl_klien`
ADD PRIMARY KEY (`id_klien`);
--
-- Indexes for table `tbl_peran`
--
ALTER TABLE `tbl_peran`
ADD PRIMARY KEY (`id_peran`);
--
-- Indexes for table `tbl_pos`
--
ALTER TABLE `tbl_pos`
ADD PRIMARY KEY (`id_pos`);
--
-- Indexes for table `tbl_users`
--
ALTER TABLE `tbl_users`
ADD PRIMARY KEY (`id_user`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `tbl_users`
--
ALTER TABLE `tbl_users`
MODIFY `id_user` int(150) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
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 stats_top_accounts (
id serial NOT NULL,
account_id int NOT NULL,
count int NOT NULL
);
ALTER TABLE stats_top_accounts ADD CONSTRAINT stats_top_accounts_pkey PRIMARY KEY (id);
ALTER TABLE stats_top_accounts ADD CONSTRAINT stats_top_accounts_fk_account_id
FOREIGN KEY (account_id)
REFERENCES account (id);
|
<reponame>com-roboautomator/photo-website-api<gh_stars>0
CREATE TABLE slider (
id UUID NOT NULL PRIMARY KEY,
colour TEXT,
title TEXT,
created_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP
) |
<gh_stars>0
alter table inventory_item_detail
alter column unit_price type text using unit_price::text;
|
use master
go
drop database if exists gamedatabase
go
create database gamedatabase
go
use gamedatabase
go
create table gametable(
GameID INT NOT NULL IDENTITY (1,1) PRIMARY KEY,
GameName VARCHAR (50) NULL,
GamePrice INT NULL,
GameRating VARCHAR (10) NULL,
GameBought BIT NULL,
)
insert into gametable values ('PUBG', 20, 'R', 1)
select * from gametable
|
TRUNCATE transactions CASCADE;
TRUNCATE blocks CASCADE;
TRUNCATE addresses CASCADE;
TRUNCATE contracts CASCADE;
TRUNCATE token_transfers CASCADE;
TRUNCATE tokens CASCADE;
DELETE FROM currencies WHERE "id" > 2;
ALTER SEQUENCE addresses_id_seq RESTART;
ALTER SEQUENCE contracts_id_seq RESTART;
ALTER SEQUENCE currencies_id_seq RESTART;
ALTER SEQUENCE last_blocks_currency_seq RESTART;
ALTER SEQUENCE token_transfers_id_seq RESTART;
ALTER SEQUENCE transactions_id_seq RESTART;
UPDATE last_blocks SET "blockIndex" = NULL; |
--pipeline for cleaning the papers db
--all sql code from here on out requires that
--all column names are in lower case, a simple
--script for this can be found in sql/utils
--admin
create schema if not exists clean;
drop table if exists clean.papers;
--functions
create or replace function yr_clean(arg text)
returns int language plpgsql as $$
begin
begin
return cast(left(arg, 4) as int);
exception when others then return null;
end;
end $$;
--create new table from raw and create var
create table clean.papers as(
select *,
case when yr_clean(yr) between 1930 and 2019 then 1 else 0 end as yr_valid
from raw.papers);
--drop unnecessary columns
alter table clean.papers
drop column recordtype,
drop column pg,
drop column no,
drop column ot,
drop column searchtext,
drop column crg,
drop column vl,
drop column clean_title,
drop column clean_abstract,
drop column short_abstract,
drop column short_title,
drop column include;
--cleaning some table variables
update clean.papers
set au = replace(au, '//', ' '),
ad = replace(ad, '//', ' '),
cc = replace(cc, '//', ' '),
mc = replace(mc, '//', ' '),
mh = replace(mh, '//', ' '),
pt = replace(pt, '//', ' ');
--clean up issues where paper in review but no review group
create temporary table tmp_papers2 as(with tbl as (select cn, review_group from raw.reviews),
tbl2 as (select recordid, ti, au, so, yr, ab, ad, cc, doi,
em, la, mc, mh, pm, pt, centralid, isnct, tr,
sid, yr_valid, clean.papers.cn, inregister, tbl.review_group
from clean.papers left join tbl on clean.papers.cn = tbl.cn)
select *,
case when cn!='NULL' and inregister='NULL' then review_group else inregister end as final_register
from tbl2);
alter table tmp_papers2
drop column inregister,
drop column review_group;
alter table tmp_papers2
rename column final_register to inregister;
delete from tmp_papers2
where inregister in ('STD','');
drop table if exists clean.papers;
create table clean.papers as table tmp_papers2;
--final commit to close issue
|
<filename>src/test/resources/wal.test_41.sql
-- wal.test
--
-- execsql {
-- INSERT INTO t1 VALUES('x', 'y');
-- RELEASE tr;
-- COMMIT;
-- }
INSERT INTO t1 VALUES('x', 'y');
RELEASE tr;
COMMIT; |
-- tkt3298.test
--
-- execsql {
-- DELETE FROM v1 WHERE x=1;
-- SELECT * FROM v1 ORDER BY x;
-- }
DELETE FROM v1 WHERE x=1;
SELECT * FROM v1 ORDER BY x; |
<filename>src/test/resources/sql/create_operator_class/7dcd468e.sql
-- file:alter_generic.sql ln:209 expect:true
CREATE OPERATOR CLASS alt_opc2 FOR TYPE uuid USING hash AS STORAGE uuid
|
<reponame>khanh245/MarkdownBlog<gh_stars>0
CREATE TABLE [dbo].[Posts]
(
[Id] INT NOT NULL PRIMARY KEY,
[Title] NVARCHAR(100) NOT NULL,
[Content] VARCHAR(MAX) NULL,
[CreatedDate] DATE NOT NULL
) |
-- Midas Server. Copyright Kitware SAS. Licensed under the Apache License 2.0.
-- MySQL database for the sizequota module, version 1.0.0
CREATE TABLE IF NOT EXISTS `sizequota_folderquota` (
`folderquota_id` bigint(20) NOT NULL AUTO_INCREMENT,
`folder_id` bigint(20) NOT NULL,
`quota` varchar(50) NOT NULL,
PRIMARY KEY (`folderquota_id`),
KEY (`folder_id`)
) DEFAULT CHARSET=utf8;
|
<reponame>aipi2015/Laborator02
DROP DATABASE IF EXISTS bookstore; |
CREATE OR REPLACE FUNCTION "SHORTCOUNTRY"
-- Given a string that might be a country name, shorten it if it occurs on a list of long country names
(
COUNTRY IN VARCHAR2
) RETURN VARCHAR2 AS
BEGIN
if country like 'United States' then return 'USA'; end if;
if country like 'United States of America' then return 'USA'; end if;
if country like 'United States Minor Outlying Islands' then return 'US Minor Outlying Islands'; end if;
if country like 'Commonwealth of the Bahamas' then return 'Bahamas'; end if;
if country like 'Democratic Republic of the Congo' then return 'D.R. Congo'; end if;
if country like 'Federated States of Micronesia' then return 'Micronesia'; end if;
if country like 'British Virgin Islands' then return 'Virgin Islands (UK)'; end if;
if country like 'Republic of Trinidad and Tobago' then return 'Trinidad and Tobago'; end if;
if country like 'Saint Kitts and Nevis' then return 'St. Kitts and Nevis'; end if;
if country like 'Central African Republic' then return 'C.A.R.'; end if;
if country like 'Virgin Islands of the United States' then return 'U.S. Virgin Islands'; end if;
if country like 'Turks and Caicos Islands' then return 'Turks and Caicos'; end if;
if country like 'Democratic Republic of Timor-Leste' then return 'D.R. Timor-Leste'; end if;
if country like 'Saint Vincent and the Grenadines' then return 'St. Vincent and Grenadines'; end if;
if country like 'Saint Vincent And The Grenadines' then return 'St. Vincent and Grenadines'; end if;
if country like 'Saint Helena, Ascension and Tristan da Cunha' then return 'St. Helena, Ascension, Tristan da Cunha'; end if;
if country like 'British Indian Ocean Territory' then return 'British Indian Ocean Terr.'; end if;
RETURN country;
END SHORTCOUNTRY; |
DROP FUNCTION IF EXISTS sales.post_sales
(
_office_id integer,
_user_id integer,
_login_id bigint,
_counter_id integer,
_value_date date,
_book_date date,
_cost_center_id integer,
_reference_number national character varying(24),
_statement_reference text,
_tender public.money_strict2,
_change public.money_strict2,
_payment_term_id integer,
_check_amount public.money_strict2,
_check_bank_name national character varying(1000),
_check_number national character varying(100),
_check_date date,
_gift_card_number national character varying(100),
_customer_id integer,
_price_type_id integer,
_shipper_id integer,
_store_id integer,
_coupon_code national character varying(100),
_is_flat_discount boolean,
_discount public.money_strict2,
_details sales.sales_detail_type[],
_sales_quotation_id bigint,
_sales_order_id bigint,
_serial_number_ids text,
_book_name national character varying(48)
);
CREATE FUNCTION sales.post_sales
(
_office_id integer,
_user_id integer,
_login_id bigint,
_counter_id integer,
_value_date date,
_book_date date,
_cost_center_id integer,
_reference_number national character varying(24),
_statement_reference text,
_tender public.money_strict2,
_change public.money_strict2,
_payment_term_id integer,
_check_amount public.money_strict2,
_check_bank_name national character varying(1000),
_check_number national character varying(100),
_check_date date,
_gift_card_number national character varying(100),
_customer_id integer,
_price_type_id integer,
_shipper_id integer,
_store_id integer,
_coupon_code national character varying(100),
_is_flat_discount boolean,
_discount public.money_strict2,
_details sales.sales_detail_type[],
_sales_quotation_id bigint,
_sales_order_id bigint,
_serial_number_ids text,
_book_name national character varying(48) DEFAULT 'Sales Entry'
)
RETURNS bigint
AS
$$
DECLARE _transaction_master_id bigint;
DECLARE _checkout_id bigint;
DECLARE _grand_total public.money_strict;
DECLARE _discount_total public.money_strict2;
DECLARE _receivable public.money_strict2;
DECLARE _default_currency_code national character varying(12);
DECLARE _is_periodic boolean = inventory.is_periodic_inventory(_office_id);
DECLARE _cost_of_goods public.money_strict;
DECLARE _tran_counter integer;
DECLARE _transaction_code text;
DECLARE _tax_total public.money_strict2;
DECLARE _shipping_charge public.money_strict2;
DECLARE _cash_repository_id integer;
DECLARE _cash_account_id integer;
DECLARE _is_cash boolean = false;
DECLARE _is_credit boolean = false;
DECLARE _gift_card_id integer;
DECLARE _gift_card_balance numeric(30, 6);
DECLARE _coupon_id integer;
DECLARE _coupon_discount numeric(30, 6);
DECLARE _default_discount_account_id integer;
DECLARE _fiscal_year_code national character varying(12);
DECLARE _invoice_number bigint;
DECLARE _tax_account_id integer;
DECLARE _receipt_transaction_master_id bigint;
DECLARE _sales_tax_rate numeric(30, 6);
DECLARE this RECORD;
DECLARE _taxable_total numeric(30, 6);
DECLARE _nontaxable_total numeric(30, 6);
DECLARE _sales_discount_account_id integer;
DECLARE _sql text;
BEGIN
IF NOT finance.can_post_transaction(_login_id, _user_id, _office_id, _book_name, _value_date) THEN
RETURN 0;
END IF;
DROP TABLE IF EXISTS _checkout_details;
CREATE TEMPORARY TABLE _checkout_details
(
id SERIAL PRIMARY KEY,
checkout_id bigint,
tran_type national character varying(2),
store_id integer,
item_id integer,
quantity numeric(30, 6),
unit_id integer,
base_quantity numeric(30, 6),
base_unit_id integer,
price numeric(30, 6),
cost_of_goods_sold numeric(30, 6) DEFAULT(0),
discount_rate numeric(30, 6),
discount numeric(30, 6),
is_taxed boolean,
is_taxable_item boolean,
amount numeric(30, 6),
shipping_charge numeric(30, 6),
sales_account_id integer,
sales_discount_account_id integer,
inventory_account_id integer,
cost_of_goods_sold_account_id integer
) ON COMMIT DROP;
DROP TABLE IF EXISTS _item_quantities;
CREATE TEMPORARY TABLE _item_quantities
(
item_id integer,
base_unit_id integer,
store_id integer,
total_sales numeric(30, 6),
in_stock numeric(30, 6),
maintain_inventory boolean
) ON COMMIT DROP;
DROP TABLE IF EXISTS _temp_transaction_details;
CREATE TEMPORARY TABLE _temp_transaction_details
(
transaction_master_id bigint,
tran_type national character varying(2),
account_id integer NOT NULL,
statement_reference national character varying(2000),
cash_repository_id integer,
currency_code national character varying(12),
amount_in_currency numeric(30, 6) NOT NULL,
local_currency_code national character varying(12),
er numeric(30, 6),
amount_in_local_currency numeric(30, 6)
) ON COMMIT DROP;
_tax_account_id := finance.get_sales_tax_account_id_by_office_id(_office_id);
_default_currency_code := core.get_currency_code_by_office_id(_office_id);
_cash_account_id := inventory.get_cash_account_id_by_store_id(_store_id);
_cash_repository_id := inventory.get_cash_repository_id_by_store_id(_store_id);
_is_cash := finance.is_cash_account_id(_cash_account_id);
_coupon_id := sales.get_active_coupon_id_by_coupon_code(_coupon_code);
_gift_card_id := sales.get_gift_card_id_by_gift_card_number(_gift_card_number);
_gift_card_balance := sales.get_gift_card_balance(_gift_card_id, _value_date);
SELECT finance.fiscal_year.fiscal_year_code
INTO _fiscal_year_code
FROM finance.fiscal_year
WHERE _value_date BETWEEN finance.fiscal_year.starts_from AND finance.fiscal_year.ends_on
LIMIT 1;
IF(COALESCE(_customer_id, 0) = 0) THEN
RAISE EXCEPTION 'Please select a customer.';
END IF;
IF(COALESCE(_coupon_code, '') != '' AND COALESCE(_discount, 0) > 0) THEN
RAISE EXCEPTION 'Please do not specify discount rate when you mention coupon code.';
END IF;
IF(COALESCE(_payment_term_id, 0) > 0) THEN
_is_credit := true;
END IF;
IF(NOT _is_credit AND NOT _is_cash) THEN
RAISE EXCEPTION 'Cannot post sales. Invalid cash account mapping on store.';
END IF;
IF(_is_cash) THEN
_cash_repository_id := NULL;
END IF;
SELECT finance.tax_setups.sales_tax_rate
INTO _sales_tax_rate
FROM finance.tax_setups
WHERE NOT finance.tax_setups.deleted
AND finance.tax_setups.office_id = _office_id;
INSERT INTO _checkout_details(store_id, item_id, quantity, unit_id, price, discount_rate, discount, is_taxed, shipping_charge)
SELECT store_id, item_id, quantity, unit_id, price, discount_rate, discount, is_taxed, shipping_charge
FROM explode_array(_details);
UPDATE _checkout_details
SET
tran_type = 'Cr',
base_quantity = inventory.get_base_quantity_by_unit_id(unit_id, quantity),
base_unit_id = inventory.get_root_unit_id(unit_id);
UPDATE _checkout_details
SET
discount = COALESCE(ROUND(((price * quantity) + shipping_charge) * (discount_rate / 100), 2), 0)
WHERE COALESCE(discount, 0) = 0;
UPDATE _checkout_details
SET
discount_rate = COALESCE(ROUND(100 * discount / ((price * quantity) + shipping_charge), 2), 0)
WHERE COALESCE(discount_rate, 0) = 0;
UPDATE _checkout_details
SET
sales_account_id = inventory.get_sales_account_id(item_id),
sales_discount_account_id = inventory.get_sales_discount_account_id(item_id),
inventory_account_id = inventory.get_inventory_account_id(item_id),
cost_of_goods_sold_account_id = inventory.get_cost_of_goods_sold_account_id(item_id);
UPDATE _checkout_details
SET is_taxable_item = is_taxed;
UPDATE _checkout_details
SET amount = (COALESCE(price, 0) * COALESCE(quantity, 0)) - COALESCE(discount, 0) + COALESCE(shipping_charge, 0);
IF EXISTS
(
SELECT 1
FROM _checkout_details
WHERE amount < 0
) THEN
RAISE EXCEPTION 'A line amount cannot be less than zero.';
END IF;
INSERT INTO _item_quantities(item_id, base_unit_id, store_id, total_sales)
SELECT item_id, base_unit_id, store_id, SUM(base_quantity)
FROM _checkout_details
GROUP BY item_id, base_unit_id, store_id;
UPDATE _item_quantities
SET maintain_inventory = inventory.items.maintain_inventory
FROM inventory.items
WHERE _item_quantities.item_id = inventory.items.item_id;
UPDATE _item_quantities
SET in_stock = inventory.count_item_in_stock(item_id, base_unit_id, store_id)
WHERE maintain_inventory;
IF EXISTS
(
SELECT 0 FROM _item_quantities
WHERE total_sales > in_stock
AND maintain_inventory
LIMIT 1
) THEN
RAISE EXCEPTION 'Insufficient item quantity';
END IF;
IF EXISTS
(
SELECT 0 FROM _checkout_details AS details
WHERE NOT inventory.is_valid_unit_id(details.unit_id, details.item_id)
LIMIT 1
) THEN
RAISE EXCEPTION 'Item/unit mismatch.';
END IF;
SELECT
COALESCE(SUM(CASE WHEN is_taxed THEN 1 ELSE 0 END * COALESCE(amount, 0)), 0),
COALESCE(SUM(CASE WHEN NOT is_taxed THEN 1 ELSE 0 END * COALESCE(amount, 0)), 0)
INTO
_taxable_total,
_nontaxable_total
FROM _checkout_details;
SELECT
ROUND(SUM(COALESCE(discount, 0)), 2)
INTO
_discount_total
FROM _checkout_details;
SELECT
SUM(COALESCE(shipping_charge, 0))
INTO
_shipping_charge
FROM _checkout_details;
_coupon_discount = ROUND(_discount, 2);
IF(NOT _is_flat_discount AND COALESCE(_discount, 0) > 0) THEN
_coupon_discount = ROUND(COALESCE(_taxable_total, 0) * (_discount/100), 2);
END IF;
IF(_coupon_discount > _taxable_total) THEN
RAISE EXCEPTION 'The coupon discount cannot be greater than total taxable amount.';
END IF;
_tax_total := ROUND((COALESCE(_taxable_total, 0) - COALESCE(_coupon_discount, 0)) * (_sales_tax_rate / 100), 2);
_grand_total := COALESCE(_taxable_total, 0) + COALESCE(_nontaxable_total, 0) + COALESCE(_tax_total, 0) - COALESCE(_coupon_discount, 0);
_receivable = _grand_total;
IF(_is_flat_discount AND _discount > _receivable) THEN
RAISE EXCEPTION 'The discount amount % cannot be greater than total amount %.', _discount, _receivable;
ELSIF(NOT _is_flat_discount AND _discount > 100) THEN
RAISE EXCEPTION 'The discount rate cannot be greater than 100.';
END IF;
IF(_tender > 0) THEN
IF(_tender < _receivable) THEN
RAISE EXCEPTION 'The tender amount must be greater than or equal to %.', _receivable;
END IF;
ELSIF(_check_amount > 0) THEN
IF(_check_amount < _receivable) THEN
RAISE EXCEPTION 'The check amount must be greater than or equal to %.', _receivable;
END IF;
ELSIF(COALESCE(_gift_card_number, '') != '') THEN
IF(_gift_card_balance < _receivable) THEN
RAISE EXCEPTION 'The gift card must have a balance of at least %s.', _receivable;
END IF;
END IF;
INSERT INTO _temp_transaction_details(tran_type, account_id, statement_reference, currency_code, amount_in_currency, er, local_currency_code, amount_in_local_currency)
SELECT 'Cr', sales_account_id, _statement_reference, _default_currency_code, SUM(COALESCE(price, 0) * COALESCE(quantity, 0)), 1, _default_currency_code, SUM(COALESCE(price, 0) * COALESCE(quantity, 0))
FROM _checkout_details
GROUP BY sales_account_id;
IF(NOT _is_periodic) THEN
--Perpetutal Inventory Accounting System
UPDATE _checkout_details
SET cost_of_goods_sold = inventory.get_cost_of_goods_sold(item_id, unit_id, store_id, quantity);
SELECT SUM(cost_of_goods_sold)
INTO _cost_of_goods
FROM _checkout_details;
IF(_cost_of_goods > 0) THEN
INSERT INTO _temp_transaction_details(tran_type, account_id, statement_reference, currency_code, amount_in_currency, er, local_currency_code, amount_in_local_currency)
SELECT 'Dr', cost_of_goods_sold_account_id, _statement_reference, _default_currency_code, SUM(COALESCE(cost_of_goods_sold, 0)), 1, _default_currency_code, SUM(COALESCE(cost_of_goods_sold, 0))
FROM _checkout_details
GROUP BY cost_of_goods_sold_account_id;
INSERT INTO _temp_transaction_details(tran_type, account_id, statement_reference, currency_code, amount_in_currency, er, local_currency_code, amount_in_local_currency)
SELECT 'Cr', inventory_account_id, _statement_reference, _default_currency_code, SUM(COALESCE(cost_of_goods_sold, 0)), 1, _default_currency_code, SUM(COALESCE(cost_of_goods_sold, 0))
FROM _checkout_details
GROUP BY inventory_account_id;
END IF;
END IF;
IF(COALESCE(_tax_total, 0) > 0) THEN
INSERT INTO _temp_transaction_details(tran_type, account_id, statement_reference, currency_code, amount_in_currency, er, local_currency_code, amount_in_local_currency)
SELECT 'Cr', _tax_account_id, _statement_reference, _default_currency_code, _tax_total, 1, _default_currency_code, _tax_total;
END IF;
IF(COALESCE(_shipping_charge, 0) > 0) THEN
INSERT INTO _temp_transaction_details(tran_type, account_id, statement_reference, currency_code, amount_in_currency, er, local_currency_code, amount_in_local_currency)
SELECT 'Cr', inventory.get_account_id_by_shipper_id(_shipper_id), _statement_reference, _default_currency_code, _shipping_charge, 1, _default_currency_code, _shipping_charge;
END IF;
IF(COALESCE(_discount_total, 0) > 0) THEN
INSERT INTO _temp_transaction_details(tran_type, account_id, statement_reference, currency_code, amount_in_currency, er, local_currency_code, amount_in_local_currency)
SELECT 'Dr', sales_discount_account_id, _statement_reference, _default_currency_code, SUM(COALESCE(discount, 0)), 1, _default_currency_code, SUM(COALESCE(discount, 0))
FROM _checkout_details
GROUP BY sales_discount_account_id
HAVING SUM(COALESCE(discount, 0)) > 0;
END IF;
IF(COALESCE(_coupon_discount, 0) > 0) THEN
SELECT inventory.stores.sales_discount_account_id
INTO _sales_discount_account_id
FROM inventory.stores
WHERE inventory.stores.store_id = _store_id;
INSERT INTO _temp_transaction_details(tran_type, account_id, statement_reference, currency_code, amount_in_currency, er, local_currency_code, amount_in_local_currency)
SELECT 'Dr', _sales_discount_account_id, _statement_reference, _default_currency_code, _coupon_discount, 1, _default_currency_code, _coupon_discount;
END IF;
INSERT INTO _temp_transaction_details(tran_type, account_id, statement_reference, currency_code, amount_in_currency, er, local_currency_code, amount_in_local_currency)
SELECT 'Dr', inventory.get_account_id_by_customer_id(_customer_id), _statement_reference, _default_currency_code, _receivable, 1, _default_currency_code, _receivable;
IF
(
SELECT SUM(CASE WHEN tran_type = 'Cr' THEN 1 ELSE -1 END * amount_in_local_currency)
FROM _temp_transaction_details
) != 0 THEN
RAISE EXCEPTION E'Could not balance the Journal Entry. Nothing was saved.\n %', array_to_string(array_agg(_temp_transaction_details), E'\n') FROM _temp_transaction_details;
END IF;
_tran_counter = finance.get_new_transaction_counter(_value_date);
_transaction_code = finance.get_transaction_code(_value_date, _office_id, _user_id, _login_id);
RAISE INFO E'Journal entry.\n %', array_to_string(array_agg(_temp_transaction_details), E'\n') FROM _temp_transaction_details;
INSERT INTO finance.transaction_master(transaction_counter, transaction_code, book, value_date, book_date, user_id, login_id, office_id, cost_center_id, reference_number, statement_reference)
SELECT _tran_counter, _transaction_code, _book_name, _value_date, _book_date, _user_id, _login_id, _office_id, _cost_center_id, _reference_number, _statement_reference
RETURNING transaction_master_id INTO _transaction_master_id;
UPDATE _temp_transaction_details
SET transaction_master_id = _transaction_master_id;
INSERT INTO finance.transaction_details(value_date, book_date, office_id, transaction_master_id, tran_type, account_id, statement_reference, cash_repository_id, currency_code, amount_in_currency, local_currency_code, er, amount_in_local_currency)
SELECT _value_date, _book_date, _office_id, transaction_master_id, tran_type, account_id, statement_reference, cash_repository_id, currency_code, amount_in_currency, local_currency_code, er, amount_in_local_currency
FROM _temp_transaction_details
ORDER BY tran_type DESC;
INSERT INTO inventory.checkouts(transaction_book, value_date, book_date, transaction_master_id, shipper_id, posted_by, office_id, discount, taxable_total, tax_rate, tax, nontaxable_total)
SELECT _book_name, _value_date, _book_date, _transaction_master_id, _shipper_id, _user_id, _office_id, _coupon_discount, _taxable_total, _sales_tax_rate, _tax_total, _nontaxable_total
RETURNING checkout_id INTO _checkout_id;
UPDATE _checkout_details
SET checkout_id = _checkout_id;
INSERT INTO inventory.checkout_details(value_date, book_date, checkout_id, transaction_type, store_id, item_id, quantity, unit_id, base_quantity, base_unit_id, price, cost_of_goods_sold, discount_rate, discount, shipping_charge, is_taxed)
SELECT _value_date, _book_date, checkout_id, tran_type, store_id, item_id, quantity, unit_id, base_quantity, base_unit_id, price, COALESCE(cost_of_goods_sold, 0), discount_rate, discount, shipping_charge, is_taxable_item
FROM _checkout_details;
SELECT
COALESCE(MAX(invoice_number), 0) + 1
INTO
_invoice_number
FROM sales.sales
WHERE sales.sales.fiscal_year_code = _fiscal_year_code;
IF(NOT _is_credit AND _book_name = 'Sales Entry') THEN
SELECT sales.post_receipt
(
_user_id,
_office_id,
_login_id,
_customer_id,
_default_currency_code,
1.0,
1.0,
_reference_number,
_statement_reference,
_cost_center_id,
_cash_account_id,
_cash_repository_id,
_value_date,
_book_date,
_receivable,
_tender,
_change,
_check_amount,
_check_bank_name,
_check_number,
_check_date,
_gift_card_number,
_store_id,
_transaction_master_id--CASCADING TRAN ID
)
INTO _receipt_transaction_master_id;
PERFORM finance.auto_verify(_receipt_transaction_master_id, _office_id);
IF(COALESCE(_serial_number_ids, '') != '') THEN
UPDATE inventory.serial_numbers
SET sales_transaction_id = _transaction_master_id
WHERE serial_number_id IN
(
SELECT
item::bigint
FROM regexp_split_to_table(_serial_number_ids, ',') AS item
);
END IF;
ELSE
PERFORM sales.settle_customer_due(_customer_id, _office_id);
END IF;
IF(_book_name = 'Sales Entry') THEN
INSERT INTO sales.sales(fiscal_year_code, invoice_number, price_type_id, counter_id, total_amount, cash_repository_id, sales_order_id, sales_quotation_id, transaction_master_id, checkout_id, customer_id, salesperson_id, coupon_id, is_flat_discount, discount, total_discount_amount, is_credit, payment_term_id, tender, change, check_number, check_date, check_bank_name, check_amount, gift_card_id, receipt_transaction_master_id)
SELECT _fiscal_year_code, _invoice_number, _price_type_id, _counter_id, _receivable, _cash_repository_id, _sales_order_id, _sales_quotation_id, _transaction_master_id, _checkout_id, _customer_id, _user_id, _coupon_id, _is_flat_discount, _discount, _discount_total, _is_credit, _payment_term_id, _tender, _change, _check_number, _check_date, _check_bank_name, _check_amount, _gift_card_id, _receipt_transaction_master_id;
END IF;
EXECUTE finance.auto_verify(_transaction_master_id, _office_id);
RETURN _transaction_master_id;
END
$$
LANGUAGE plpgsql;
-- SELECT * FROM sales.post_sales
-- (
-- 1, --_office_id
-- 1, --_user_id
-- 1, --_login_id
-- 1, --_counter_id
-- finance.get_value_date(1), --_value_date
-- finance.get_value_date(1), --_book_date
-- 1, --_cost_center_id
-- '',--_reference_number
-- 'Test', --_statement_reference
-- 500000,--_tender
-- 2000, --_change
-- null, --_payment_term_id
-- null, --_check_amount
-- null, --_check_bank_name
-- null, --_check_number
-- null, --_check_date
-- null, --_gift_card_number
-- inventory.get_customer_id_by_customer_code('JOTAY'), --_customer_id
-- 1, --_price_type_id
-- 1, --_shipper_id
-- 1, --_store_id
-- null, --_coupon_code
-- true, --_is_flat_discount
-- 0, --_discount
-- ARRAY
-- [
-- ROW(1, 'Dr', 1, 1, 1,1, 0, 10, 200, false)::sales.sales_detail_type,
-- ROW(1, 'Dr', 2, 1, 7,1, 300, 10, 30, false)::sales.sales_detail_type,
-- ROW(1, 'Dr', 3, 1, 1,1, 5000, 10, 50, false)::sales.sales_detail_type
-- ],
-- NULL, --_sales_quotation_id
-- NULL, --_sales_order_id
-- '' --_serial_number_ids
-- );
--
|
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,517,27,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,539,5,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,575,740,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,628,49,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,638,470,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,664,100,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,681,87,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,699,5365,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,711,393,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,2505,1147,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,750,115,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,825,3,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,937,87,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,927,3530,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,2482,27,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,5055,49,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,951,8,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,491,1232,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,511,1570,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,536,165,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,556,168,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,565,508,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,549,34,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,486,554,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,5060,14,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,499,20,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,525,177,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,535,138,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,584,132,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,560,7,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,520,5,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,507,710,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,495,143,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,5140,2,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,5150,4,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,611,887,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,653,10,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,2588,1,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,2592,77,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,754,100,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,786,390,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,799,53,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,846,4,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,857,72,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,548,23,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,567,27,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,557,100,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,603,190,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,614,286,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,582,28,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,2660,29,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,570,31,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,596,18,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,561,17,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,550,361,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,532,538,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,482,720,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,479,7,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,490,147,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,2730,2,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,496,100,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,500,300,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,512,100,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,515,310,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,5179,10,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,528,75,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,534,40,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,2727,186,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,587,214,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,569,45,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,594,8,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,629,100,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,649,680,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,660,1566,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,665,1025,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,477,71,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,687,24,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,542,20,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,531,45,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,553,8,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,576,90,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,564,21,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,589,878,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,618,146,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,624,144,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,656,75,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,647,28,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,684,30,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,733,16,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,3880,154,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,766,758,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,489,8,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,610,616,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,648,118,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,627,90,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,662,744,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,724,505,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,741,5,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,770,115,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,591,1198,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,609,25,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,652,682,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,696,219,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,715,58,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,735,11,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,742,812,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,749,3,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,763,1,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,793,552,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,862,31,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,885,368,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,890,550,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,5154,4,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,931,10597,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,916,21,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,922,213,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,654,26,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,817,96,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,796,12,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,858,1494,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,980,204,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,970,62,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,985,4,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,987,469,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,992,160,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,527,150,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,540,15,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,13505,100,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,547,350,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,580,10,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,606,3,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,615,23,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,623,12,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,678,1710,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,729,505,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,776,300,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,5151,4,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,501,722,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,579,270,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,597,3,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,605,1,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,13503,11,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,639,4971,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,709,14,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,676,34,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,685,325,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,10448,90,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,10447,4350,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,10598,14,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,10460,4,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,917,271,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,921,1107,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,923,157,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,930,65,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,928,95,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,933,97,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,924,200,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,2336,3,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,850,13,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,2523,95,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,5019,2,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,884,52,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,892,28,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,877,16,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,888,33,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,7820,9,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,7114,3,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,901,14,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,905,12,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,932,52,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,934,13,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,936,10,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,939,54,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,915,8,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,918,11,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,942,6,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,949,24,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,967,37,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,2559,25,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,2502,1450,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,976,100,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,977,100,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,2821,4,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,981,2,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,935,16,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,863,60,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,870,81,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,875,87,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,7819,400,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,899,32,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,910,5,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,904,10,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,10672,20,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,14154,1,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,757,3,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,7264,200,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,824,2,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,802,12,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,774,156,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,690,26,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,13504,100,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,876,1,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,13512,1,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,14153,6,0);
INSERT INTO persediaan (id_transaksi, id_barang, jumlah, harga) VALUES (116316,10462,119,0);
|
create schema if not exists raw;
drop table if exists raw.etl_execution;
create table raw.etl_execution (
"name" TEXT,
"extention" TEXT,
"schema" TEXT,
"action" TEXT,
"creator" TEXT,
"machine" TEXT,
"ip" TEXT,
"creation_date" TEXT,
"size" TEXT,
"location" TEXT,
"status" TEXT,
"param_year" TEXT,
"param_month" TEXT,
"param_day" TEXT,
"param_bucket" TEXT
);
comment on table raw.etl_execution is 'Metadata from ETL-RAW';
|
/*
{
"name": "table",
"title": "Tables",
"icon": "table_chart",
"tags": "ui,schema"
}
*/
select table_schema /* { "label": "Owner", "description": "Owner of the table", "visible": false } */
, table_name /* { "label": "Name", "description": "Name of the table" } */
, table_type /* { "label": "Type", "description": "Typical types", "visible": true, "values": ['TABLE', 'VIEW', 'SYSTEM TABLE', 'GLOBAL TEMPORARY', 'LOCAL TEMPORARY', 'ALIAS', 'SYNONYM'] } */
, remarks /* { "label": "Comment", "description": "Comments", "visible": true } */
, last_modification /* { "label": "Last modification", "description": "Last modification" } */
from information_schema.tables
|
<filename>engine/sql/api/203_refact_worker_model_crypto.sql
-- +migrate Up
ALTER TABLE "worker_model" DROP COLUMN IF EXISTS owner_id;
ALTER TABLE "worker_model" DROP COLUMN IF EXISTS template;
ALTER TABLE "worker_model" DROP COLUMN IF EXISTS communication;
ALTER TABLE "worker_model" DROP COLUMN IF EXISTS run_script;
ALTER TABLE "worker_model" DROP COLUMN IF EXISTS provision;
ALTER TABLE "worker_model" ADD COLUMN IF NOT EXISTS model_docker JSONB;
ALTER TABLE "worker_model" ADD COLUMN IF NOT EXISTS model_virtual_machine JSONB;
UPDATE worker_model SET model_docker = model WHERE "type" = 'docker';
UPDATE worker_model SET model_virtual_machine = model WHERE "type" != 'docker';
ALTER TABLE "worker_model" DROP COLUMN model;
ALTER TABLE "worker_model" ADD COLUMN IF NOT EXISTS sig BYTEA;
ALTER TABLE "worker_model" ADD COLUMN IF NOT EXISTS signer TEXT;
ALTER TABLE worker_capability DROP CONSTRAINT IF EXISTS "fk_worker_capability_worker_model";
SELECT create_foreign_key_idx_cascade('FK_WORKER_CAPABILITY_WORKER_MODEL', 'worker_capability', 'worker_model', 'worker_model_id', 'id');
CREATE TABLE IF NOT EXISTS "worker_model_secret" (
id VARCHAR(36) PRIMARY KEY,
created TIMESTAMP WITH TIME ZONE DEFAULT LOCALTIMESTAMP,
name VARCHAR(255) NOT NULL,
worker_model_id BIGINT NOT NULL,
cipher_value BYTEA,
sig BYTEA,
signer TEXT
);
SELECT create_foreign_key_idx_cascade('FK_WORKER_MODEL_SECRET_MODEL', 'worker_model_secret', 'worker_model', 'worker_model_id', 'id');
-- +migrate Down
ALTER table "worker_model" ADD COLUMN IF NOT EXISTS template JSONB;
ALTER table "worker_model" ADD COLUMN IF NOT EXISTS communication TEXT DEFAULT 'http';
ALTER table "worker_model" ADD COLUMN IF NOT EXISTS run_script TEXT DEFAULT '';
ALTER TABLE "worker_model" ADD COLUMN IF NOT EXISTS model JSONB;
UPDATE worker_model SET model = model_docker WHERE "type" = 'docker';
UPDATE worker_model SET model = model_virtual_machine WHERE "type" != 'docker';
ALTER TABLE "worker_model" DROP COLUMN model_docker;
ALTER TABLE "worker_model" DROP COLUMN model_virtual_machine;
ALTER TABLE worker_capability DROP CONSTRAINT IF EXISTS "fk_worker_capability_worker_model";
SELECT create_foreign_key('FK_WORKER_CAPABILITY_WORKER_MODEL', 'worker_capability', 'worker_model', 'worker_model_id', 'id');
DROP TABLE IF EXISTS worker_model_secret;
|
DROP PROCEDURE IF EXISTS `prc_InsertTempReRateCDR`;
DELIMITER //
CREATE DEFINER=`root`@`localhost` PROCEDURE `prc_InsertTempReRateCDR`(
IN `p_CompanyID` INT,
IN `p_CompanyGatewayID` INT,
IN `p_StartDate` DATETIME,
IN `p_EndDate` DATETIME,
IN `p_AccountID` INT,
IN `p_ProcessID` VARCHAR(50),
IN `p_tbltempusagedetail_name` VARCHAR(50),
IN `p_CDRType` CHAR(1),
IN `p_CLI` VARCHAR(50),
IN `p_CLD` VARCHAR(50),
IN `p_zerovaluecost` INT,
IN `p_CurrencyID` INT,
IN `p_area_prefix` VARCHAR(50),
IN `p_trunk` VARCHAR(50)
)
BEGIN
DECLARE v_BillingTime_ INT;
SET SESSION TRANSACTION ISOLATION LEVEL READ COMMITTED;
SELECT fnGetBillingTime(p_CompanyGatewayID,p_AccountID) INTO v_BillingTime_;
-- Call fnUsageDetail(p_CompanyID,p_AccountID,p_CompanyGatewayID,p_start_date,p_end_date,0,1,v_BillingTime_,p_CDRType,p_CLI,p_CLD,p_zerovaluecost);
set @stm1 = CONCAT('
INSERT INTO NeonCDRDev.`' , p_tbltempusagedetail_name , '` (
CompanyID,
CompanyGatewayID,
GatewayAccountID,
AccountID,
connect_time,
disconnect_time,
billed_duration,
area_prefix,
pincode,
extension,
cli,
cld,
cost,
remote_ip,
duration,
trunk,
ProcessID,
ID,
is_inbound,
billed_second
)
SELECT
*
FROM (SELECT
uh.CompanyID,
CompanyGatewayID,
GatewayAccountID,
uh.AccountID,
connect_time,
disconnect_time,
billed_duration,
"Other" as area_prefix,
pincode,
extension,
cli,
cld,
cost,
remote_ip,
duration,
"Other" as trunk,
"',p_ProcessID,'",
ID,
is_inbound,
billed_second
FROM NeonCDRDev.tblUsageDetails ud
INNER JOIN NeonCDRDev.tblUsageHeader uh
ON uh.UsageHeaderID = ud.UsageHeaderID
INNER JOIN NeonRMDev.tblAccount a
ON uh.AccountID = a.AccountID
WHERE
( "' , p_CDRType , '" = "" OR ud.is_inbound = "' , p_CDRType , '")
AND StartDate >= DATE_ADD( "' , p_StartDate , '",INTERVAL -1 DAY)
AND StartDate <= DATE_ADD( "' , p_EndDate , '",INTERVAL 1 DAY)
AND uh.CompanyID = "' , p_CompanyID , '"
AND uh.AccountID is not null
AND ( "' , p_AccountID , '" = 0 OR uh.AccountID = "' , p_AccountID , '")
AND ( "' , p_CompanyGatewayID , '" = 0 OR CompanyGatewayID = "' , p_CompanyGatewayID , '")
AND ( "' , p_CurrencyID ,'" = "0" OR a.CurrencyId = "' , p_CurrencyID , '")
AND ( "' , p_CLI , '" = "" OR cli LIKE REPLACE("' , p_CLI , '", "*", "%"))
AND ( "' , p_CLD , '" = "" OR cld LIKE REPLACE("' , p_CLD , '", "*", "%"))
AND ( "' , p_trunk , '" = "" OR trunk = "' , p_trunk , '")
AND ( "' , p_area_prefix , '" = "" OR area_prefix LIKE REPLACE( "' , p_area_prefix , '", "*", "%"))
AND ( "' , p_zerovaluecost , '" = 0 OR ( "' , p_zerovaluecost , '" = 1 AND cost = 0) OR ( "' , p_zerovaluecost , '" = 2 AND cost > 0))
) tbl
WHERE
("' , v_BillingTime_ , '" =1 and connect_time >= "' , p_StartDate , '" AND connect_time <= "' , p_EndDate , '")
OR
("' , v_BillingTime_ , '" =2 and disconnect_time >= "' , p_StartDate , '" AND disconnect_time <= "' , p_EndDate , '")
AND billed_duration > 0;
');
-- SELECT @stm1;
PREPARE stmt1 FROM @stm1;
EXECUTE stmt1;
DEALLOCATE PREPARE stmt1;
SET SESSION TRANSACTION ISOLATION LEVEL REPEATABLE READ;
END//
DELIMITER ;
-- Dumping structure for procedure NeonBillingDev.prc_ProcesssCDR
DROP PROCEDURE IF EXISTS `prc_ProcesssCDR`;
DELIMITER //
CREATE DEFINER=`root`@`localhost` PROCEDURE `prc_ProcesssCDR`(
IN `p_CompanyID` INT,
IN `p_CompanyGatewayID` INT,
IN `p_processId` INT,
IN `p_tbltempusagedetail_name` VARCHAR(200),
IN `p_RateCDR` INT,
IN `p_RateFormat` INT,
IN `p_NameFormat` VARCHAR(50),
IN `p_RateMethod` VARCHAR(50),
IN `p_SpecifyRate` DECIMAL(18,6)
)
BEGIN
DECLARE v_rowCount_ INT;
DECLARE v_pointer_ INT;
DECLARE v_AccountID_ INT;
DECLARE v_TrunkID_ INT;
DECLARE v_CDRUpload_ INT;
DECLARE v_NewAccountIDCount_ INT;
SET SESSION TRANSACTION ISOLATION LEVEL READ UNCOMMITTED;
DROP TEMPORARY TABLE IF EXISTS tmp_tblTempRateLog_;
CREATE TEMPORARY TABLE IF NOT EXISTS tmp_tblTempRateLog_(
`CompanyID` INT(11) NULL DEFAULT NULL,
`CompanyGatewayID` INT(11) NULL DEFAULT NULL,
`MessageType` INT(11) NOT NULL,
`Message` VARCHAR(500) NOT NULL,
`RateDate` DATE NOT NULL
);
/* insert new account */
SET @stm = CONCAT('
INSERT INTO tblGatewayAccount (CompanyID, CompanyGatewayID, GatewayAccountID, AccountName)
SELECT
DISTINCT
ud.CompanyID,
ud.CompanyGatewayID,
ud.GatewayAccountID,
ud.GatewayAccountID
FROM NeonCDRDev.' , p_tbltempusagedetail_name , ' ud
LEFT JOIN tblGatewayAccount ga
ON ga.GatewayAccountID = ud.GatewayAccountID
AND ga.CompanyGatewayID = ud.CompanyGatewayID
AND ga.CompanyID = ud.CompanyID
WHERE ProcessID = "' , p_processId , '"
AND ga.GatewayAccountID IS NULL
AND ud.GatewayAccountID IS NOT NULL;
');
PREPARE stmt FROM @stm;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
/* active new account */
CALL prc_getActiveGatewayAccount(p_CompanyID,p_CompanyGatewayID,'0','1',p_NameFormat);
/* update cdr account */
SET @stm = CONCAT('
UPDATE NeonCDRDev.`' , p_tbltempusagedetail_name , '` uh
INNER JOIN tblGatewayAccount ga
ON ga.CompanyID = uh.CompanyID
AND ga.CompanyGatewayID = uh.CompanyGatewayID
AND ga.GatewayAccountID = uh.GatewayAccountID
SET uh.AccountID = ga.AccountID
WHERE uh.AccountID IS NULL
AND ga.AccountID is not null
AND uh.CompanyID = ' , p_companyid , '
AND uh.ProcessID = "' , p_processId , '" ;
');
PREPARE stmt FROM @stm;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
SELECT COUNT(*) INTO v_NewAccountIDCount_
FROM NeonCDRDev.tblUsageHeader uh
INNER JOIN tblGatewayAccount ga
ON ga.CompanyID = uh.CompanyID
AND ga.CompanyGatewayID = uh.CompanyGatewayID
AND ga.GatewayAccountID = uh.GatewayAccountID
WHERE uh.AccountID IS NULL
AND ga.AccountID is not null
AND uh.CompanyID = p_CompanyID
AND uh.CompanyGatewayID = p_CompanyGatewayID;
IF v_NewAccountIDCount_ > 0
THEN
/* update header cdr account */
UPDATE NeonCDRDev.tblUsageHeader uh
INNER JOIN tblGatewayAccount ga
ON ga.CompanyID = uh.CompanyID
AND ga.CompanyGatewayID = uh.CompanyGatewayID
AND ga.GatewayAccountID = uh.GatewayAccountID
SET uh.AccountID = ga.AccountID
WHERE uh.AccountID IS NULL
AND ga.AccountID is not null
AND uh.CompanyID = p_CompanyID
AND uh.CompanyGatewayID = p_CompanyGatewayID;
END IF;
/* temp accounts and trunks*/
DROP TEMPORARY TABLE IF EXISTS tmp_AccountTrunkCdrUpload_;
CREATE TEMPORARY TABLE tmp_AccountTrunkCdrUpload_ (
RowID INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
AccountID INT,
TrunkID INT
);
SET @stm = CONCAT('
INSERT INTO tmp_AccountTrunkCdrUpload_(AccountID,TrunkID)
SELECT DISTINCT AccountID,TrunkID FROM NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud WHERE ProcessID="' , p_processId , '" AND AccountID IS NOT NULL AND TrunkID IS NOT NULL AND ud.is_inbound = 0;
');
SET v_CDRUpload_ = (SELECT COUNT(*) FROM tmp_AccountTrunkCdrUpload_);
IF v_CDRUpload_ > 0
THEN
/* update UseInBilling when cdr upload*/
SET @stm = CONCAT('
UPDATE NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud
INNER JOIN NeonRMDev.tblCustomerTrunk ct
ON ct.AccountID = ud.AccountID AND ct.TrunkID = ud.TrunkID AND ct.Status =1
INNER JOIN NeonRMDev.tblTrunk t
ON t.TrunkID = ct.TrunkID
SET ud.UseInBilling=ct.UseInBilling,ud.TrunkPrefix = ct.Prefix
WHERE ud.ProcessID = "' , p_processId , '";
');
END IF;
PREPARE stmt FROM @stm;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
/* if rate format is prefix base not charge code*/
IF p_RateFormat = 2
THEN
/* update trunk without use in billing*/
SET @stm = CONCAT('
UPDATE NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud
INNER JOIN NeonRMDev.tblCustomerTrunk ct
ON ct.AccountID = ud.AccountID AND ct.Status =1
AND ct.UseInBilling = 0
INNER JOIN NeonRMDev.tblTrunk t
ON t.TrunkID = ct.TrunkID
SET ud.trunk = t.Trunk,ud.TrunkID =t.TrunkID,ud.UseInBilling=ct.UseInBilling
WHERE ud.ProcessID = "' , p_processId , '" AND ud.is_inbound = 0 AND ud.TrunkID IS NULL;
');
PREPARE stmt FROM @stm;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
/* update trunk with use in billing*/
SET @stm = CONCAT('
UPDATE NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud
INNER JOIN NeonRMDev.tblCustomerTrunk ct
ON ct.AccountID = ud.AccountID AND ct.Status =1
AND ct.UseInBilling = 1 AND cld LIKE CONCAT(ct.Prefix , "%")
INNER JOIN NeonRMDev.tblTrunk t
ON t.TrunkID = ct.TrunkID
SET ud.trunk = t.Trunk,ud.TrunkID =t.TrunkID,ud.UseInBilling=ct.UseInBilling,ud.TrunkPrefix = ct.Prefix
WHERE ud.ProcessID = "' , p_processId , '" AND ud.is_inbound = 0 AND ud.TrunkID IS NULL;
');
PREPARE stm FROM @stm;
EXECUTE stm;
DEALLOCATE PREPARE stm;
END IF;
/* if rerate on */
IF p_RateCDR = 1
THEN
SET @stm = CONCAT('UPDATE NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud SET cost = 0,is_rerated=0 WHERE ProcessID = "',p_processId,'" AND ( AccountID IS NULL OR TrunkID IS NULL ) ') ;
PREPARE stmt FROM @stm;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
END IF;
/* temp accounts and trunks*/
DROP TEMPORARY TABLE IF EXISTS tmp_AccountTrunk_;
CREATE TEMPORARY TABLE tmp_AccountTrunk_ (
RowID INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
AccountID INT,
TrunkID INT
);
SET @stm = CONCAT('
INSERT INTO tmp_AccountTrunk_(AccountID,TrunkID)
SELECT DISTINCT AccountID,TrunkID FROM NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud WHERE ProcessID="' , p_processId , '" AND AccountID IS NOT NULL AND TrunkID IS NOT NULL AND ud.is_inbound = 0;
');
PREPARE stm FROM @stm;
EXECUTE stm;
DEALLOCATE PREPARE stm;
SET v_pointer_ = 1;
SET v_rowCount_ = (SELECT COUNT(*)FROM tmp_AccountTrunk_);
WHILE v_pointer_ <= v_rowCount_
DO
SET v_TrunkID_ = (SELECT TrunkID FROM tmp_AccountTrunk_ t WHERE t.RowID = v_pointer_);
SET v_AccountID_ = (SELECT AccountID FROM tmp_AccountTrunk_ t WHERE t.RowID = v_pointer_);
/* get outbound rate process*/
CALL NeonRMDev.prc_getCustomerCodeRate(v_AccountID_,v_TrunkID_,p_RateCDR,p_RateMethod,p_SpecifyRate);
/* update prefix outbound process*/
/* if rate format is prefix base not charge code*/
IF p_RateFormat = 2
THEN
CALL prc_updatePrefix(v_AccountID_,v_TrunkID_, p_processId, p_tbltempusagedetail_name);
END IF;
/* outbound rerate process*/
IF p_RateCDR = 1
THEN
CALL prc_updateOutboundRate(v_AccountID_,v_TrunkID_, p_processId, p_tbltempusagedetail_name);
END IF;
SET v_pointer_ = v_pointer_ + 1;
END WHILE;
/* if rerate is off and acconts and trunks not setup update prefix from default codedeck*/
IF p_RateCDR = 0 AND p_RateFormat = 2
THEN
/* temp accounts and trunks*/
DROP TEMPORARY TABLE IF EXISTS tmp_Accounts_;
CREATE TEMPORARY TABLE tmp_Accounts_ (
RowID INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
AccountID INT
);
SET @stm = CONCAT('
INSERT INTO tmp_Accounts_(AccountID)
SELECT DISTINCT AccountID FROM NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud WHERE ProcessID="' , p_processId , '" AND AccountID IS NOT NULL AND TrunkID IS NOT NULL;
');
PREPARE stm FROM @stm;
EXECUTE stm;
DEALLOCATE PREPARE stm;
/* get default code */
CALL NeonRMDev.prc_getDefaultCodes(p_CompanyID);
/* update prefix from default codes
if rate format is prefix base not charge code*/
CALL prc_updateDefaultPrefix(p_processId, p_tbltempusagedetail_name);
END IF;
/* inbound rerate process*/
IF p_RateCDR = 1
THEN
/* temp accounts and trunks*/
DROP TEMPORARY TABLE IF EXISTS tmp_Account_;
CREATE TEMPORARY TABLE tmp_Account_ (
RowID INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
AccountID INT
);
SET @stm = CONCAT('
INSERT INTO tmp_Account_(AccountID)
SELECT DISTINCT AccountID FROM NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud WHERE ProcessID="' , p_processId , '" AND AccountID IS NOT NULL AND ud.is_inbound = 1;
');
PREPARE stm FROM @stm;
EXECUTE stm;
DEALLOCATE PREPARE stm;
SET v_pointer_ = 1;
SET v_rowCount_ = (SELECT COUNT(*) FROM tmp_Account_);
WHILE v_pointer_ <= v_rowCount_
DO
SET v_AccountID_ = (SELECT AccountID FROM tmp_Account_ t WHERE t.RowID = v_pointer_);
/* get inbound rate process*/
CALL NeonRMDev.prc_getCustomerInboundRate(v_AccountID_,p_RateCDR,p_RateMethod,p_SpecifyRate);
/* update trunk prefix inbound process*/
CALL prc_updateInboundPrefix(v_AccountID_, p_processId, p_tbltempusagedetail_name);
/* inbound rerate process*/
CALL prc_updateInboundRate(v_AccountID_, p_processId, p_tbltempusagedetail_name);
SET v_pointer_ = v_pointer_ + 1;
END WHILE;
END IF;
SET @stm = CONCAT('
INSERT INTO tmp_tblTempRateLog_ (CompanyID,CompanyGatewayID,MessageType,Message,RateDate)
SELECT DISTINCT ud.CompanyID,ud.CompanyGatewayID,1, CONCAT( "Account: " , ga.AccountName ," - Gateway: ",cg.Title," - Doesnt exist in NEON") as Message ,DATE(NOW())
FROM NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud
INNER JOIN tblGatewayAccount ga
ON ga.CompanyGatewayID = ud.CompanyGatewayID
AND ga.CompanyID = ud.CompanyID
AND ga.GatewayAccountID = ud.GatewayAccountID
INNER JOIN NeonRMDev.tblCompanyGateway cg ON cg.CompanyGatewayID = ud.CompanyGatewayID
WHERE ud.ProcessID = "' , p_processid , '" and ud.AccountID IS NULL');
PREPARE stmt FROM @stm;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
IF p_RateCDR = 1
THEN
SET @stm = CONCAT('
INSERT INTO tmp_tblTempRateLog_ (CompanyID,CompanyGatewayID,MessageType,Message,RateDate)
SELECT DISTINCT ud.CompanyID,ud.CompanyGatewayID,2, CONCAT( "Account: " , a.AccountName ," - Trunk: ",ud.trunk," - Unable to Rerate number ",IFNULL(ud.cld,"")," - No Matching prefix found") as Message ,DATE(NOW())
FROM NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud
INNER JOIN NeonRMDev.tblAccount a on ud.AccountID = a.AccountID
WHERE ud.ProcessID = "' , p_processid , '" and ud.is_inbound = 0 AND ud.is_rerated = 0 AND ud.billed_second <> 0 and ud.area_prefix = "Other"');
PREPARE stmt FROM @stm;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
SET @stm = CONCAT('
INSERT INTO tmp_tblTempRateLog_ (CompanyID,CompanyGatewayID,MessageType,Message,RateDate)
SELECT DISTINCT ud.CompanyID,ud.CompanyGatewayID,3, CONCAT( "Account: " , a.AccountName , " - Unable to Rerate number ",IFNULL(ud.cld,"")," - No Matching prefix found") as Message ,DATE(NOW())
FROM NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud
INNER JOIN NeonRMDev.tblAccount a on ud.AccountID = a.AccountID
WHERE ud.ProcessID = "' , p_processid , '" and ud.is_inbound = 1 AND ud.is_rerated = 0 AND ud.billed_second <> 0 and ud.area_prefix = "Other"');
PREPARE stmt FROM @stm;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
SET @stm = CONCAT('
INSERT INTO NeonRMDev.tblTempRateLog (CompanyID,CompanyGatewayID,MessageType,Message,RateDate,SentStatus,created_at)
SELECT rt.CompanyID,rt.CompanyGatewayID,rt.MessageType,rt.Message,rt.RateDate,0 as SentStatus,NOW() as created_at FROM tmp_tblTempRateLog_ rt
LEFT JOIN NeonRMDev.tblTempRateLog rt2
ON rt.CompanyID = rt2.CompanyID
AND rt.CompanyGatewayID = rt2.CompanyGatewayID
AND rt.MessageType = rt2.MessageType
AND rt.Message = rt2.Message
AND rt.RateDate = rt2.RateDate
WHERE rt2.TempRateLogID IS NULL;
');
PREPARE stmt FROM @stm;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
END IF;
SELECT DISTINCT Message FROM tmp_tblTempRateLog_;
SET SESSION TRANSACTION ISOLATION LEVEL REPEATABLE READ;
END//
DELIMITER ;
DROP PROCEDURE IF EXISTS `prc_GetCDR`;
DELIMITER //
CREATE DEFINER=`neon-user`@`192.168.127.12` PROCEDURE `prc_GetCDR`(
IN `p_company_id` INT,
IN `p_CompanyGatewayID` INT,
IN `p_start_date` DATETIME,
IN `p_end_date` DATETIME,
IN `p_AccountID` INT ,
IN `p_CDRType` CHAR(1),
IN `p_CLI` VARCHAR(50),
IN `p_CLD` VARCHAR(50),
IN `p_zerovaluecost` INT,
IN `p_CurrencyID` INT,
IN `p_area_prefix` VARCHAR(50),
IN `p_trunk` VARCHAR(50),
IN `p_PageNumber` INT,
IN `p_RowspPage` INT,
IN `p_lSortCol` VARCHAR(50),
IN `p_SortOrder` VARCHAR(5),
IN `p_isExport` INT
)
BEGIN
DECLARE v_OffSet_ INT;
DECLARE v_BillingTime_ INT;
DECLARE v_Round_ INT;
DECLARE v_CurrencyCode_ VARCHAR(50);
SET SESSION TRANSACTION ISOLATION LEVEL READ COMMITTED;
SET v_OffSet_ = (p_PageNumber * p_RowspPage) - p_RowspPage;
SELECT fnGetRoundingPoint(p_company_id) INTO v_Round_;
SELECT cr.Symbol INTO v_CurrencyCode_ from NeonRMDev.tblCurrency cr where cr.CurrencyId =p_CurrencyID;
SELECT fnGetBillingTime(p_CompanyGatewayID,p_AccountID) INTO v_BillingTime_;
Call fnUsageDetail(p_company_id,p_AccountID,p_CompanyGatewayID,p_start_date,p_end_date,0,1,v_BillingTime_,p_CDRType,p_CLI,p_CLD,p_zerovaluecost);
IF p_isExport = 0
THEN
SELECT
uh.UsageDetailID,
uh.AccountName,
uh.connect_time,
uh.disconnect_time,
uh.billed_duration,
CONCAT(IFNULL(v_CurrencyCode_,''),TRIM(uh.cost)+0) AS cost,
CONCAT(IFNULL(v_CurrencyCode_,''),TRIM(ROUND((uh.cost/uh.billed_duration)*60.0,6))+0) AS rate,
uh.cli,
uh.cld,
uh.area_prefix,
uh.trunk,
uh.AccountID,
p_CompanyGatewayID as CompanyGatewayID,
p_start_date as StartDate,
p_end_date as EndDate,
uh.is_inbound as CDRType from
tmp_tblUsageDetails_ uh
INNER JOIN NeonRMDev.tblAccount a
ON uh.AccountID = a.AccountID
WHERE (p_CurrencyID = 0 OR a.CurrencyId = p_CurrencyID)
AND (p_area_prefix = '' OR area_prefix LIKE REPLACE(p_area_prefix, '*', '%'))
AND (p_trunk = '' OR trunk = p_trunk )
LIMIT p_RowspPage OFFSET v_OffSet_;
SELECT
COUNT(*) AS totalcount,
fnFormateDuration(sum(billed_duration)) as total_duration,
sum(cost) as total_cost,
v_CurrencyCode_ as CurrencyCode
FROM tmp_tblUsageDetails_ uh
INNER JOIN NeonRMDev.tblAccount a
ON uh.AccountID = a.AccountID
WHERE (p_CurrencyID = 0 OR a.CurrencyId = p_CurrencyID)
AND (p_area_prefix = '' OR area_prefix LIKE REPLACE(p_area_prefix, '*', '%'))
AND (p_trunk = '' OR trunk = p_trunk );
END IF;
IF p_isExport = 1
THEN
SELECT
uh.AccountName as 'Account Name',
uh.connect_time as 'Connect Time',
uh.disconnect_time as 'Disconnect Time',
uh.billed_duration as 'Billed Duration (sec)' ,
CONCAT(IFNULL(v_CurrencyCode_,''),TRIM(uh.cost)+0) AS 'Cost',
CONCAT(IFNULL(v_CurrencyCode_,''),TRIM(ROUND((uh.cost/uh.billed_duration)*60.0,6))+0) AS 'Avg. Rate/Min',
uh.cli as 'CLI',
uh.cld as 'CLD',
uh.area_prefix as 'Prefix',
uh.trunk as 'Trunk',
FROM tmp_tblUsageDetails_ uh
INNER JOIN NeonRMDev.tblAccount a
ON uh.AccountID = a.AccountID
WHERE (p_CurrencyID = 0 OR a.CurrencyId = p_CurrencyID)
AND (p_area_prefix = '' OR area_prefix LIKE REPLACE(p_area_prefix, '*', '%'))
AND (p_trunk = '' OR trunk = p_trunk );
END IF;
SET SESSION TRANSACTION ISOLATION LEVEL REPEATABLE READ;
END//
DELIMITER ;
DROP PROCEDURE IF EXISTS `prc_ProcesssVCDR`;
DELIMITER //
CREATE DEFINER=`root`@`localhost` PROCEDURE `prc_ProcesssVCDR`(
IN `p_CompanyID` INT,
IN `p_CompanyGatewayID` INT,
IN `p_processId` INT,
IN `p_tbltempusagedetail_name` VARCHAR(200),
IN `p_RateCDR` INT,
IN `p_RateFormat` INT,
IN `p_NameFormat` VARCHAR(50)
)
BEGIN
DECLARE v_rowCount_ INT;
DECLARE v_pointer_ INT;
DECLARE v_AccountID_ INT;
DECLARE v_TrunkID_ INT;
DECLARE v_NewAccountIDCount_ INT;
SET SESSION TRANSACTION ISOLATION LEVEL READ UNCOMMITTED;
DROP TEMPORARY TABLE IF EXISTS tmp_tblTempRateLog_;
CREATE TEMPORARY TABLE IF NOT EXISTS tmp_tblTempRateLog_(
`CompanyID` INT(11) NULL DEFAULT NULL,
`CompanyGatewayID` INT(11) NULL DEFAULT NULL,
`MessageType` INT(11) NOT NULL,
`Message` VARCHAR(500) NOT NULL,
`RateDate` DATE NOT NULL
);
/* insert new account */
SET @stm = CONCAT('
INSERT INTO tblGatewayAccount (CompanyID, CompanyGatewayID, GatewayAccountID, AccountName,IsVendor)
SELECT
DISTINCT
ud.CompanyID,
ud.CompanyGatewayID,
ud.GatewayAccountID,
ud.GatewayAccountID,
1 as IsVendor
FROM NeonCDRDev.' , p_tbltempusagedetail_name , ' ud
LEFT JOIN tblGatewayAccount ga
ON ga.GatewayAccountID = ud.GatewayAccountID
AND ga.CompanyGatewayID = ud.CompanyGatewayID
AND ga.CompanyID = ud.CompanyID
WHERE ProcessID = "' , p_processId , '"
AND ga.GatewayAccountID IS NULL
AND ud.GatewayAccountID IS NOT NULL;
');
PREPARE stmt FROM @stm;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
/* active new account */
CALL prc_getActiveGatewayAccount(p_CompanyID,p_CompanyGatewayID,'0','1',p_NameFormat);
/* update cdr account */
SET @stm = CONCAT('
UPDATE NeonCDRDev.`' , p_tbltempusagedetail_name , '` uh
INNER JOIN tblGatewayAccount ga
ON ga.CompanyID = uh.CompanyID
AND ga.CompanyGatewayID = uh.CompanyGatewayID
AND ga.GatewayAccountID = uh.GatewayAccountID
SET uh.AccountID = ga.AccountID
WHERE uh.AccountID IS NULL
AND ga.AccountID is not null
AND uh.CompanyID = ' , p_companyid , '
AND uh.ProcessID = "' , p_processId , '" ;
');
PREPARE stmt FROM @stm;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
SELECT COUNT(*) INTO v_NewAccountIDCount_
FROM NeonCDRDev.tblVendorCDRHeader uh
INNER JOIN tblGatewayAccount ga
ON ga.CompanyID = uh.CompanyID
AND ga.CompanyGatewayID = uh.CompanyGatewayID
AND ga.GatewayAccountID = uh.GatewayAccountID
WHERE uh.AccountID IS NULL
AND ga.AccountID is not null
AND uh.CompanyID = p_CompanyID
AND uh.CompanyGatewayID = p_CompanyGatewayID;
IF v_NewAccountIDCount_ > 0
THEN
/* update header cdr account */
UPDATE NeonCDRDev.tblVendorCDRHeader uh
INNER JOIN tblGatewayAccount ga
ON ga.CompanyID = uh.CompanyID
AND ga.CompanyGatewayID = uh.CompanyGatewayID
AND ga.GatewayAccountID = uh.GatewayAccountID
SET uh.AccountID = ga.AccountID
WHERE uh.AccountID IS NULL
AND ga.AccountID is not null
AND uh.CompanyID = p_CompanyID
AND uh.CompanyGatewayID = p_CompanyGatewayID;
END IF;
/* if rate format is prefix base not charge code*/
IF p_RateFormat = 2
THEN
/* update trunk without use in billing*/
SET @stm = CONCAT('
UPDATE NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud
INNER JOIN NeonRMDev.tblVendorTrunk ct
ON ct.AccountID = ud.AccountID AND ct.Status =1
AND ct.UseInBilling = 0
INNER JOIN NeonRMDev.tblTrunk t
ON t.TrunkID = ct.TrunkID
SET ud.trunk = t.Trunk,ud.TrunkID =t.TrunkID,ud.UseInBilling=ct.UseInBilling
WHERE ud.ProcessID = "' , p_processId , '" AND ud.TrunkID IS NULL;
');
PREPARE stmt FROM @stm;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
/* update trunk with use in billing*/
SET @stm = CONCAT('
UPDATE NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud
INNER JOIN NeonRMDev.tblVendorTrunk ct
ON ct.AccountID = ud.AccountID AND ct.Status =1
AND ct.UseInBilling = 1 AND cld LIKE CONCAT(ct.Prefix , "%")
INNER JOIN NeonRMDev.tblTrunk t
ON t.TrunkID = ct.TrunkID
SET ud.trunk = t.Trunk,ud.TrunkID =t.TrunkID,ud.UseInBilling=ct.UseInBilling,ud.TrunkPrefix = ct.Prefix
WHERE ud.ProcessID = "' , p_processId , '" AND ud.TrunkID IS NULL;
');
PREPARE stm FROM @stm;
EXECUTE stm;
DEALLOCATE PREPARE stm;
END IF;
/* if rerate on */
IF p_RateCDR = 1
THEN
SET @stm = CONCAT('UPDATE NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud SET selling_cost = 0,is_rerated=0 WHERE ProcessID = "',p_processId,'" AND ( AccountID IS NULL OR TrunkID IS NULL ) ') ;
PREPARE stmt FROM @stm;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
END IF;
/* temp accounts and trunks*/
DROP TEMPORARY TABLE IF EXISTS tmp_AccountTrunk_;
CREATE TEMPORARY TABLE tmp_AccountTrunk_ (
RowID INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
AccountID INT,
TrunkID INT
);
SET @stm = CONCAT('
INSERT INTO tmp_AccountTrunk_(AccountID,TrunkID)
SELECT DISTINCT AccountID,TrunkID FROM NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud WHERE ProcessID="' , p_processId , '" AND AccountID IS NOT NULL AND TrunkID IS NOT NULL;
');
PREPARE stm FROM @stm;
EXECUTE stm;
DEALLOCATE PREPARE stm;
SET v_pointer_ = 1;
SET v_rowCount_ = (SELECT COUNT(*)FROM tmp_AccountTrunk_);
WHILE v_pointer_ <= v_rowCount_
DO
SET v_TrunkID_ = (SELECT TrunkID FROM tmp_AccountTrunk_ t WHERE t.RowID = v_pointer_);
SET v_AccountID_ = (SELECT AccountID FROM tmp_AccountTrunk_ t WHERE t.RowID = v_pointer_);
/* get outbound rate process*/
CALL NeonRMDev.prc_getVendorCodeRate(v_AccountID_,v_TrunkID_,p_RateCDR);
/* update prefix outbound process*/
/* if rate format is prefix base not charge code*/
IF p_RateFormat = 2
THEN
CALL prc_updateVendorPrefix(v_AccountID_,v_TrunkID_, p_processId, p_tbltempusagedetail_name);
END IF;
/* outbound rerate process*/
IF p_RateCDR = 1
THEN
CALL prc_updateVendorRate(v_AccountID_,v_TrunkID_, p_processId, p_tbltempusagedetail_name);
END IF;
SET v_pointer_ = v_pointer_ + 1;
END WHILE;
/* if rerate is off and acconts and trunks not setup update prefix from default codedeck*/
IF p_RateCDR = 0 AND p_RateFormat = 2
THEN
/* temp accounts and trunks*/
DROP TEMPORARY TABLE IF EXISTS tmp_Accounts_;
CREATE TEMPORARY TABLE tmp_Accounts_ (
RowID INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
AccountID INT
);
SET @stm = CONCAT('
INSERT INTO tmp_Accounts_(AccountID)
SELECT DISTINCT AccountID FROM NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud WHERE ProcessID="' , p_processId , '" AND AccountID IS NOT NULL AND TrunkID IS NOT NULL;
');
PREPARE stm FROM @stm;
EXECUTE stm;
DEALLOCATE PREPARE stm;
/* get default code */
CALL NeonRMDev.prc_getDefaultCodes(p_CompanyID);
/* update prefix from default codes
if rate format is prefix base not charge code*/
CALL prc_updateDefaultVendorPrefix(p_processId, p_tbltempusagedetail_name);
END IF;
SET @stm = CONCAT('
INSERT INTO tmp_tblTempRateLog_ (CompanyID,CompanyGatewayID,MessageType,Message,RateDate)
SELECT DISTINCT ud.CompanyID,ud.CompanyGatewayID,1, CONCAT( "Account: " , ga.AccountName ," - Gateway: ",cg.Title," - Doesnt exist in NEON") as Message ,DATE(NOW())
FROM NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud
INNER JOIN tblGatewayAccount ga
ON ga.CompanyGatewayID = ud.CompanyGatewayID
AND ga.CompanyID = ud.CompanyID
AND ga.GatewayAccountID = ud.GatewayAccountID
INNER JOIN NeonRMDev.tblCompanyGateway cg ON cg.CompanyGatewayID = ud.CompanyGatewayID
WHERE ud.ProcessID = "' , p_processid , '" and ud.AccountID IS NULL');
PREPARE stmt FROM @stm;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
IF p_RateCDR = 1
THEN
SET @stm = CONCAT('
INSERT INTO tmp_tblTempRateLog_ (CompanyID,CompanyGatewayID,MessageType,Message,RateDate)
SELECT DISTINCT ud.CompanyID,ud.CompanyGatewayID,2, CONCAT( "Account: " , a.AccountName ," - Trunk: ",ud.trunk," - Unable to Rerate number ",ud.cld," - No Matching prefix found") as Message ,DATE(NOW())
FROM NeonCDRDev.`' , p_tbltempusagedetail_name , '` ud
INNER JOIN NeonRMDev.tblAccount a on ud.AccountID = a.AccountID
WHERE ud.ProcessID = "' , p_processid , '" AND ud.is_rerated = 0 AND ud.billed_second <> 0 and ud.area_prefix = "Other"');
PREPARE stmt FROM @stm;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
SET @stm = CONCAT('
INSERT INTO NeonRMDev.tblTempRateLog (CompanyID,CompanyGatewayID,MessageType,Message,RateDate,SentStatus,created_at)
SELECT rt.CompanyID,rt.CompanyGatewayID,rt.MessageType,rt.Message,rt.RateDate,0 as SentStatus,NOW() as created_at FROM tmp_tblTempRateLog_ rt
LEFT JOIN NeonRMDev.tblTempRateLog rt2
ON rt.CompanyID = rt2.CompanyID
AND rt.CompanyGatewayID = rt2.CompanyGatewayID
AND rt.MessageType = rt2.MessageType
AND rt.Message = rt2.Message
AND rt.RateDate = rt2.RateDate
WHERE rt2.TempRateLogID IS NULL;
');
PREPARE stmt FROM @stm;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;
END IF;
SELECT DISTINCT Message FROM tmp_tblTempRateLog_;
SET SESSION TRANSACTION ISOLATION LEVEL REPEATABLE READ;
END//
DELIMITER ; |
INSERT INTO department (department_id, name, location, date_of_innaugration) VALUES (1,'Product', 'Bengaluru', '2019-07-1'),(2,'Engineering', 'Redwood City', '2019-07-1'),(3,'Marketing', 'New York', '2019-07-1');
INSERT INTO teams (team_id, department_id_id, average_pay) VALUES (1,1, '20000'),(2,2,'30000'),(3,1,'40000');
INSERT INTO users (user_id,first_name,last_name,team_id_id) VALUES (1,'Navneet','Menon', 1),(2,'Kailash','Raghav',2),(3,'Johnson','Stevenson', 1);
UPDATE teams SET team_lead_id_id = 3 WHERE team_id='1';
UPDATE teams SET team_lead_id_id = 2 WHERE team_id='2';
UPDATE teams SET team_lead_id_id = 1 WHERE team_id='3';
INSERT INTO objectives (objective_id,user_id_id,objective_text) VALUES (1,1, 'Improve HR Processes'),(2,2, 'Raise participation in Surveys'),(3,2, 'Improve Engineering Processes');
INSERT INTO keyresults (keyresult_id,objective_id_id,keyresult_text,status,due_date,updated_date) VALUES (1,1,'Set up onboarding process','Pending', '2020-08-11', '2020-08-04'),(2,1,'Conduct 3 Surveys','Complete', '2020-08-11', '2020-08-03'),(3,1,'Implement organization chart','Complete', '2020-08-11', '2020-07-27');
INSERT INTO keyresults (keyresult_id,objective_id_id,keyresult_text,status,due_date,updated_date) VALUES (4,2,'Draw up survey participation incentive plan','Complete', '2020-08-11', '2020-07-25'),(5,2,'Create Survey non-participation list','Complete', '2020-08-11', '2020-08-01'),(6,2,'Speak with survey vendor regarding employee complaints','Complete', '2020-08-11', '2020-08-02'); |
<gh_stars>0
DROP DATABASE IF EXISTS cms_db;
CREATE DATABASE cms_db; |
<reponame>cscl-git/digit-bpa
UPDATE eg_action set url ='/budgetdefinition/parents' where name='Ajax-BudgetdefinitionByFinancialYear';
update eg_action set url='/budgetdefinition/referencebudget' where name='Ajax-ReferenceByFinancialYear';
|
<gh_stars>0
-- --------------------------------------------------------
-- Host: 127.0.0.1
-- Server version: 5.7.24 - MySQL Community Server (GPL)
-- Server OS: Win64
-- HeidiSQL Version: 10.2.0.5599
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/*!40101 SET NAMES utf8 */;
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-- Dumping database structure for jwt
CREATE DATABASE IF NOT EXISTS `jwt` /*!40100 DEFAULT CHARACTER SET latin1 */;
USE `jwt`;
-- Dumping structure for table jwt.failed_jobs
CREATE TABLE IF NOT EXISTS `failed_jobs` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
`connection` text COLLATE utf8mb4_unicode_ci NOT NULL,
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`failed_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
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/*!40000 ALTER TABLE `failed_jobs` ENABLE KEYS */;
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`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`migration` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`batch` int(11) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- Dumping data for table jwt.migrations: ~2 rows (approximately)
/*!40000 ALTER TABLE `migrations` DISABLE KEYS */;
INSERT INTO `migrations` (`id`, `migration`, `batch`) VALUES
(1, '2014_10_12_000000_create_users_table', 1),
(2, '2019_08_19_000000_create_failed_jobs_table', 1);
/*!40000 ALTER TABLE `migrations` ENABLE KEYS */;
-- Dumping structure for table jwt.users
CREATE TABLE IF NOT EXISTS `users` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`email` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`email_verified_at` timestamp NULL DEFAULT NULL,
`password` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`remember_token` varchar(100) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `users_email_unique` (`email`)
) ENGINE=InnoDB AUTO_INCREMENT=14 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- Dumping data for table jwt.users: ~11 rows (approximately)
/*!40000 ALTER TABLE `users` DISABLE KEYS */;
INSERT INTO `users` (`id`, `name`, `email`, `email_verified_at`, `password`, `remember_token`, `created_at`, `updated_at`) VALUES
(1, 'decorico', '<EMAIL>', NULL, '$2y$10$5l4o/Fu2PAm0m0PsXIUbiOpfkifrwAuTTWRfma5dnt640P7uUyIb2', NULL, '2021-05-20 10:35:00', '2021-05-20 10:35:00'),
(2, 'silvia', '<EMAIL>', NULL, '$2y$10$UVYI/TiNKyCdti1Ufev6zel502DT.p4LEe4qi4BUQiGYEyyLlktRi', NULL, '2021-05-21 07:52:22', '2021-05-21 07:52:22'),
(3, 'telukcoding', '<EMAIL>', NULL, 'telukcoding123', NULL, '2021-05-27 06:06:03', '2021-05-27 06:06:03'),
(5, 'telukcoding', '<EMAIL>', NULL, '$2y$10$OFK016Ao56AO5wlZb.MAWuLRKHTYLl9n90ISwNyyh3xDvgoSVdI06', NULL, '2021-05-27 06:09:39', '2021-05-27 06:09:39'),
(6, 'telukcoding', '<EMAIL>', NULL, '$2y$10$MUyIGyfdKanQhLgLPaG9i.GUyGB/huBs/egYk2osP7lQ7EiOd.YZm', NULL, '2021-05-28 07:14:37', '2021-05-28 07:14:37'),
(7, 'telukapi', '<EMAIL>', NULL, '$2y$10$faRM4p2P.yEV0gpEYlEiT.VdtWEssRVJCTyIanCo0BQhY7G9GQCG.', NULL, '2021-05-28 07:26:06', '2021-05-28 07:26:06'),
(8, 'telukapi', '<EMAIL>', NULL, '$2y$10$/Tx5JN8vLFjOPW79yK/19uwJ6RkA73Jl.RtOmu4nZ0GHR0X0gAYFK', NULL, '2021-05-28 07:31:11', '2021-05-28 07:31:11'),
(9, 'telukapi', '<EMAIL>', NULL, '$2y$10$IdwMQ/Z4L1UGA2Ij4roThuTDWu8YAsfkCjplUPrVxEBP6GrstDJQu', NULL, '2021-05-28 08:17:04', '2021-05-28 08:17:04'),
(11, 'telukapi', '<EMAIL>', NULL, '$2y$10$X7cFOc.Zkgl8z/puZgeYZekAfnXTvPAdiMjTITqB/f8rpBc8lSKZm', NULL, '2021-05-28 08:29:40', '2021-05-28 08:29:40'),
(12, 'telukapi', '<EMAIL>', NULL, '$2y$10$wRdvysIo/xK/DbyKY8lXEehGrAaTerJz4.kq5adGIhObu/R07AT.S', NULL, '2021-05-28 08:40:31', '2021-05-28 08:40:31'),
(13, 'telukapi', '<EMAIL>', NULL, '$2y$10$9xti6XKRoPV/.LPxmUonWOAewT7pgf4CyleVQqDtc9BFQSjoW8aCS', NULL, '2021-05-28 09:28:25', '2021-05-28 09:28:25');
/*!40000 ALTER TABLE `users` ENABLE KEYS */;
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|
-- phpMyAdmin SQL Dump
-- version 4.8.5
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: 07.09.2019 klo 19:19
-- Palvelimen versio: 10.1.38-MariaDB
-- PHP Version: 7.3.2
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 */;
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/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `sankoforum`
--
-- --------------------------------------------------------
--
-- Rakenne taululle `categories`
--
CREATE TABLE `categories` (
`category_id` int(8) NOT NULL,
`category_section` int(8) NOT NULL,
`category_name` varchar(255) NOT NULL,
`category_description` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Rakenne taululle `posts`
--
CREATE TABLE `posts` (
`post_id` int(8) NOT NULL,
`post_content` text NOT NULL,
`post_date` datetime NOT NULL,
`post_topic` int(8) NOT NULL,
`post_by` int(8) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Rakenne taululle `sections`
--
CREATE TABLE `sections` (
`section_id` int(8) NOT NULL,
`section_name` varchar(255) NOT NULL,
`section_description` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Rakenne taululle `topics`
--
CREATE TABLE `topics` (
`topic_id` int(8) NOT NULL,
`topic_subject` varchar(255) NOT NULL,
`topic_date` datetime NOT NULL,
`topic_category` int(8) NOT NULL,
`topic_by` int(8) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Rakenne taululle `users`
--
CREATE TABLE `users` (
`user_id` int(8) NOT NULL,
`user_name` varchar(16) NOT NULL,
`user_pass` varchar(255) NOT NULL,
`user_email` varchar(255) NOT NULL,
`email_token` varchar(8) DEFAULT NULL,
`email_verified` tinyint(1) DEFAULT '0',
`user_date` datetime NOT NULL,
`user_level` int(8) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Indexes for dumped tables
--
--
-- Indexes for table `categories`
--
ALTER TABLE `categories`
ADD PRIMARY KEY (`category_id`),
ADD UNIQUE KEY `category_name_unique` (`category_name`),
ADD KEY `category_section` (`category_section`);
--
-- Indexes for table `posts`
--
ALTER TABLE `posts`
ADD PRIMARY KEY (`post_id`),
ADD KEY `post_topic` (`post_topic`),
ADD KEY `post_by` (`post_by`);
--
-- Indexes for table `sections`
--
ALTER TABLE `sections`
ADD PRIMARY KEY (`section_id`),
ADD UNIQUE KEY `section_name_unique` (`section_name`);
--
-- Indexes for table `topics`
--
ALTER TABLE `topics`
ADD PRIMARY KEY (`topic_id`),
ADD KEY `topic_category` (`topic_category`),
ADD KEY `topic_by` (`topic_by`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`user_id`),
ADD UNIQUE KEY `user_name_unique` (`user_name`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `categories`
--
ALTER TABLE `categories`
MODIFY `category_id` int(8) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `posts`
--
ALTER TABLE `posts`
MODIFY `post_id` int(8) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `sections`
--
ALTER TABLE `sections`
MODIFY `section_id` int(8) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `topics`
--
ALTER TABLE `topics`
MODIFY `topic_id` int(8) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `users`
--
ALTER TABLE `users`
MODIFY `user_id` int(8) NOT NULL AUTO_INCREMENT;
--
-- Rajoitteet vedostauluille
--
--
-- Rajoitteet taululle `categories`
--
ALTER TABLE `categories`
ADD CONSTRAINT `categories_ibfk_1` FOREIGN KEY (`category_section`) REFERENCES `sections` (`section_id`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Rajoitteet taululle `posts`
--
ALTER TABLE `posts`
ADD CONSTRAINT `posts_ibfk_1` FOREIGN KEY (`post_topic`) REFERENCES `topics` (`topic_id`) ON DELETE CASCADE ON UPDATE CASCADE,
ADD CONSTRAINT `posts_ibfk_2` FOREIGN KEY (`post_by`) REFERENCES `users` (`user_id`) ON UPDATE CASCADE;
--
-- Rajoitteet taululle `topics`
--
ALTER TABLE `topics`
ADD CONSTRAINT `topics_ibfk_1` FOREIGN KEY (`topic_category`) REFERENCES `categories` (`category_id`) ON DELETE CASCADE ON UPDATE CASCADE,
ADD CONSTRAINT `topics_ibfk_2` FOREIGN KEY (`topic_by`) REFERENCES `users` (`user_id`) ON UPDATE CASCADE;
COMMIT;
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|
<gh_stars>1-10
-- TABLES
CREATE TABLE IF NOT EXISTS `bx_charts_top_by_likes` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`object_id` int(11) NOT NULL default '0',
`module` varchar(255) NOT NULL,
`value` int(11) NOT NULL default '0',
PRIMARY KEY (`id`),
INDEX `value` (`value`)
);
CREATE TABLE IF NOT EXISTS `bx_charts_most_active_profiles` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`object_id` int(11) NOT NULL default '0',
`profile_module` varchar(19) NOT NULL,
`content_module` varchar(19) NOT NULL,
`views_count` int(11) NOT NULL default '0',
`create_count` int(11) NOT NULL default '0',
PRIMARY KEY (`id`),
INDEX `views_count` (`views_count`),
INDEX `create_count` (`create_count`),
INDEX `object_id` (`object_id`),
INDEX `profile_module` (`profile_module`)
);
CREATE TABLE IF NOT EXISTS `bx_charts_most_followed_profiles` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`object_id` int(11) NOT NULL default '0',
`profile_module` varchar(19) NOT NULL,
`followers_count` int(11) NOT NULL default '0',
PRIMARY KEY (`id`),
INDEX `followers_count` (`followers_count`),
INDEX `object_id` (`object_id`),
INDEX `profile_module` (`profile_module`)
);
-- STUDIO: page & widget
INSERT INTO `sys_std_pages`(`index`, `name`, `header`, `caption`, `icon`) VALUES
(3, @sName, '_bx_charts', '_bx_charts', 'bx_charts@modules/boonex/charts/|std-icon.svg');
SET @iPageId = LAST_INSERT_ID();
INSERT INTO `sys_std_widgets` (`page_id`, `module`, `url`, `click`, `icon`, `caption`, `cnt_notices`, `cnt_actions`, `bookmark`)
VALUES(@iPageId, @sName, '{url_studio}module.php?name=bx_charts', '', 'bx_charts@modules/boonex/charts/|std-icon.svg', '_bx_charts', '', 'a:4:{s:6:"module";s:6:"system";s:6:"method";s:11:"get_actions";s:6:"params";a:0:{}s:5:"class";s:18:"TemplStudioModules";}', 0);
SET @iParentPageId = (SELECT `id` FROM `sys_std_pages` WHERE `name` = 'home');
SET @iParentPageOrder = (SELECT IFNULL(MAX(`order`), 0) + 1 FROM `sys_std_pages_widgets` WHERE `page_id` = @iParentPageId);
INSERT INTO `sys_std_pages_widgets` (`page_id`, `widget_id`, `order`) VALUES
(@iParentPageId, LAST_INSERT_ID(), @iParentPageOrder);
|
-- randexpr1.test
--
-- db eval {SELECT coalesce((select max( -t1.d-f+~t1.d*t1.b) from t1 where (select ~+min(t1.f)+abs(min(+(select cast(avg((b)) AS integer) from t1)-d*d))-max(f)-count(distinct 19) | count(*)*count(*) from t1)>c),case 13 when +t1.c-t1.c-t1.a then c else c end*d) FROM t1 WHERE NOT (((t1.b>=case when not exists(select 1 from t1 where not exists(select 1 from t1 where not exists(select 1 from t1 where e>=t1.a or (coalesce((select max(coalesce((select case when a in (select t1.d from t1 union select t1.c from t1) then a when -b in (17,c,t1.f) then f else b end from t1 where not exists(select 1 from t1 where f<=13)),17)) from t1 where t1.f>=t1.b),d) between t1.f and 11) or t1.b between 13 and t1.b))) then a when e<=17 then t1.b+ -~11 else a end and not e>= - -b or 13 not in (c,f,11)) and d not between 11 and t1.a))}
SELECT coalesce((select max( -t1.d-f+~t1.d*t1.b) from t1 where (select ~+min(t1.f)+abs(min(+(select cast(avg((b)) AS integer) from t1)-d*d))-max(f)-count(distinct 19) | count(*)*count(*) from t1)>c),case 13 when +t1.c-t1.c-t1.a then c else c end*d) FROM t1 WHERE NOT (((t1.b>=case when not exists(select 1 from t1 where not exists(select 1 from t1 where not exists(select 1 from t1 where e>=t1.a or (coalesce((select max(coalesce((select case when a in (select t1.d from t1 union select t1.c from t1) then a when -b in (17,c,t1.f) then f else b end from t1 where not exists(select 1 from t1 where f<=13)),17)) from t1 where t1.f>=t1.b),d) between t1.f and 11) or t1.b between 13 and t1.b))) then a when e<=17 then t1.b+ -~11 else a end and not e>= - -b or 13 not in (c,f,11)) and d not between 11 and t1.a)) |
DROP FUNCTION row_to_istore(record);
DROP FUNCTION row_to_bigistore(record);
|
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-- Dumping data for table `user`
--
LOCK TABLES `user` WRITE;
/*!40000 ALTER TABLE `user` DISABLE KEYS */;
INSERT INTO `user` VALUES (1,3,'Liu','Jun','<EMAIL>','2021-03-08 00:00:00','$2a$08$yQxMd4BkSPTjWEyUG2dYl.gYm8MxxrlkHqnbMS1yI1Eq2WEJp0wTG',NULL,'student',10,'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','jpeg','2010-03-08 00:00:00','A',NULL,'Manurewa High School','<NAME>\n','<EMAIL>','027 2145 215',NULL,'botany'),(2,3,'Liu','Bao','<EMAIL>','2021-03-08 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xcqpd7K3hhH/B2ztP0J+zVZ107r+mk9SCo5z5SiK5ZalL3VWGiWI4dp4nI8MKUEVTjkwoc/9ileuP+AvuuoSdvT66s9h3Fmuz0hxMj11TWXV5cc5pF5HJmTtt85FyV1BM9m2HJ+cqoAWUl4ga6LbDcbhj4itbI7PeHZ51+kushrX/N6fPD0vfDEY+cMXUejcLLb4Yzu6Z0n5VmBr9gRvV/HD+9lfY1a00J2orOxVIhe52Lvve6RRayIxdZUHu+UWooZHiwbAr2RBcEVH7u/XVL5z4YW/tKtL/3SB68U8T9qt+8HPvCaVKZ/wwnf2uA1zhiScgMhRpzJ8RrVClHb5Hb8PDFixzILO7eKCJa2egXArKVura1feynfWqveymAAlnGpc1Y0umZa04NB5YmZUjKHceLR9RWHeebeo0dc7ycOY+LZF+/zvvd/mEdX1wQfON1uECDNmWme2W53bIeBUjLTYWTOM1fjgev9NVNSxVStTVvjOLDdbDnd7ZjnkevLC1LJOOc42e0oOeu8Kh7nA+IiYyrgKm/90jfz5Kse43J/yRN3H6ffDvTBa6cwHthttvRdR3D+iOg7QVCgzMsC4xedhcURDECkNTbDAK0SXSA4VVNpwTqCd3gf7PA0ZphtFJzzhNgh8KDCD9bKH33yi7/sfazH9mfPR/hs+4Geeuop9/t/5z/1a3KZ/gsReXNdWFJWdO4oLlrGUXCCw9mMq2sOrECdOErJxh/Wz1n2ncsZWJZfWx5SlKvcmu5scQLGalpOkPay70HwLmoLjeqAc04cppFnnn+Rey9d8Mzz9/n08y8o8lzguRde5Pl795TUEQLjeE1rjYvLS1LOhNBz6+SEO3fvMuaJnOa1COasjCilYUINilR3ISACw2aLzDPjNPLo4lI1xM6z252Qc2a/v0JcYK4zzz37HJuhw3eO5lWxFLtASglpOguLc3Sdtr/zPJNSIgRFnb3TlZwTRy2VEPTvWgBBt+iTEUIMun5yinZ779ebWFeArG388t7U1m674P8Z5/nH77//3f/SD77ng//9t32WzcqfNUXcWnPPvv+dr6e6fy5V/rDAoLxl5fa+7HPtLV7IG2tt2Zu/tH26L60EI3csf7Ja271QLJffW5DYZpzghrK0xDtaqdRWjwdH01ZSyQ9QcmKeZ64P2v4+f/8hH/rYp/nkz73A1fVIrVBqwjthnmf2VxdshwjSM8+Zw2Hk8uoRc5oJsQPndRU1TsTYK7mjZILzeOfZzzPBH8kYOpdXnGscpolSG+IDKWWlV8aBUliLdBonHHDvpQcMmw2ve82rqalwuN5Tc0QMDOui8q49BlaFQCnFCrBSitIuxaSOrVa8jwTvlTBjB68zEo0YiKXjTFvFGUoWccc32Am1ZVVT6SH7OMH/xW/4tV/8n7/00fd/9+03Xn9A5LMDxf6sKOJ3vOMd8dPv/umvD8H9q63Vf8KJdCvZfmlzbY4VA1JW/oVoeyzOKVK6FHTTeXeZm5e2uZkOd2kNm+0yF1y6NbFWWlvG2hpS69rFKUMrQ9V/pnkizzPznHjxwQM+/exzfPDjn+Bjn3yO632m2UM8Hq4pJZHyzJwy0zSBd3gfqbUyp0lvv+V7r5XDNNId9tw6Pbc1VFKecoMuRGpVNloXhnU+72NPVyqHNNOyKqru3H6M7faUNI2UkqgNcivkXHjx/ktc7w8c9hNvLJXz8xNa6XEe+mEw+5+KF0fA2268KX9bwMnS2VS8D0AlV1OB1UJzaBvvZCWBrOYKXpVbCztOD2Kvh8ENrnqrTff8Tqi1/W6kfMmLH+7+dPvwh/9redObpleK+Jf7Bn7HO+LHpfzB1vzvr6W8TsT5VpeH3yMGLN1UFi1CgVqVHbQAV8od5mW3KqJb35s3tlsEDKK3S7OboHLDVMPa6mYMK92JKnCVk5Eq5pmctG3++NM/x7s+8DE+/PGf48HDS/aHWWldDv2c8bAiGCnNCko5DyRKq4xpWlllXTcw9FsO88T19TVD37PZbpkfvcQ4JcZ5pIs9292OUsDHHkRILeFyxsdIKInQRXLOqieOHQGhax37cU/Kmf24R8QxzgmRF6g+8IbXvRpa4/zWjpLTerCUUshZNcw5J3yM1qmYaYF365xRayW3TLTDUQ/QFQpbD+DlNG2iL7rexp7abNlnB667QX1FxInIl0uTP/5Sm77q6fe////+uje/+f4rRfzL9PHBH/qhxz4i6T914n67oISK5c1VVwl7n2tdC3ktVFtnrIrAGzvfRSrXaoNScMEdZYfrreHXQpaqgJcTaN72xiyiAt3zhhDIKTMeDnjnmOaJ5++/wP56z3Mv3OMHf+JdfPrZl+i7LfOceHR5wVwzQZTB1Q8bBMF7/btyG62V15tNKrrm2eygOc7ObnGKcDhcc7jes9ltuXV+i3v3X1xteYa+J1Xotz3zmBHpkFZ1No4d14crxAlXV5eIBIZhQxDPnVt3lEhSriglMXQDvu94+HDPc/EBh8Oe07M3Kp96nslNaZZdF3WkqAXvO3COdeQBWi1rqxy8p7SmksraCH6hrYodyGq96wOraqqUQsOtXO3l85uBiMJizICIyOMNvmPX81XPvu9dv+vVb/ny971SxP+Q22d/uPyNOcR/N9b2G5pUkuhcRa34EGm6ZjjKBjlasUIz1WCjycK8Kuvp3Zq+4YJ6SpUF8Go3XDnWQ6GpUKAVBIdTdItiQgS8J5hlTRFhnieee/55nn/pAR/+9M/xqaef4/kXHnK5H/EuMs8TLz16hDihc5Fxnuj7gTt3nuTRxQNEGl10atEzHijmVBl84Oz8HO8D45TYX1+z3e443Z3qG+30591uNmyGAScKCu2GDZKL7ZArs6/ELrDd7ZjmRMh75unAIURoVW15fOT2+S1ymhinmaHfMB32SIHDfktNiac/9RyPPXZKF6Oa14uouKMV+q7T19pcR1qDGLTr8c5Ta2EuOouL3aC5FJUxIgZgyaoaq6L7fIW6i4GXZj5gN/RxNWF3uqyg5JeEPvyllz7y3j8yPhy/9zVvfev+lSL+Jf74/u///p7LR9/unPtXafWLlkL1ohI6vzKoFnmgKnGcu7HykYX62NZb+Ah4mcrIPqeubfSNndMNgMw5R5Mb++GmPGjMqWPRGI/zxNXFJR/42Ed55/s/xNPPvcS9+4+Y5kQyCZ9rcD3OdF33MsXU7uQWcymE2FGz2tj2Xc/FxQXzPBFjYDPsaLWRSrLvuzJNB7abLUPfQynk5jjZ7NhuOq6vD4wpMU/QfMQ5T2kw5wTXhTYM+vcdrvDB4ajk+UDrVNjQBc/pdmtkmcyclFl1/+F9YowUCp/61Cd57O4tdqc7ri6vibFj2PTsdlu2Q6/yRRq+QKui6yMbVVS22Uxz7KhVb+zlXVvXdqY0a4slUG3HG7hWnP3+uutv7bgZsFla4Auqkz/V3Rre8vCTn/yTtz73cx+8UsS/RB8//H3fd1ui/2OF9n8Kwu3F/SJ4byJyoS52NOJUiGAPxPLGt6a2MOJEudG8/E1V54nj12ABUwwca9ZKL3RN5/yRSw3m4ayg1SL8n1Pi8uIRH/zIx/iJ936QD33yGS6vJ6iLxriw319yvT/gvGfoN+tD2fmONCWcP5rclVLoh15vJKdo+ZxG3OjYbDcqicSKaz7gpTF0A6UVNpsNZydbuhB4dLXnen9gzJmuG3SmFMc4TkitbHcbTrZbUp5xUqFCmkdagy4ETrc7UknMaSbnQjMb3NmcOy8uXuL5F19is91wsh04Oz1hs9lw5+5tXvfaJxiGqK+1KCuuFNFOSoTmRN9P7/UxdQ1XZXVKkXUPz4pnuBun65FMcgQUF4ByNW64Sc5pvKoh/3qthy994SPv+7898flv+cgrRfyL/PGjP/iDr221/r+h/pOt4XGy7nJLKYYsuzW5QFulsrZSC9VxKWo1cqu0sryZ2pItVjsLmUvayoa2B0C1r7VVxOnLV5PqdlPO0LSdy2bcnlLi3sN7/PR7P8BPvedj3H9wSZoqUpXQMeaZw3Tg4uIRPkZOd6c4MYmisbmmcW8OGwqyxS5QSyE4T7ox6/fDQBd7xumgM3gu5DxzbR5e0XtlX/UbXK1cy4Guixrp0jIiEZoKQKqpoLabDVfXM3k+4FzPNE/6tUtlGHr8lawmf7UGUpoBYTPofF5pTGmmXjUankOCMQux73nV46fq65UT3gvbPhCMsOG8oxVD8wEvkVoztID3jeaaenkt67yi3ZeORovjilv34dywT1owk2U9uBzyrbU+5/xPBude9+DD7/u9t9/0lne+UsS/SB9/7Qd+4EunNP37Dn6riIj3nnFW8gI0QlBE0plZXDFBQ7N5yQcTuC/SNu+N1mjzsoj55+hNve6RjaBxbMWOSQqmKaS0irRKKxWnF4lSJ1tlHic+8JGP8D/9rR/jI5+8RwwD91+6Z7Y3kcM0koreWrvtjhg7YvAcDgeVMoogHLRlzZnWtJX1+FWO11qm6yIhRII0alZUW1qDksk0mszkq4nbp+dMU+L6cM3pMHDdR5NAZm3TJTP0G2YaKWXcPOH7nlunp6qGKjDNB1qJuGFgTBO7zYackxIznJByQhD2+2u2ux337r2gAgcXuffgEf2w4ezslrKrCty6NSjxwwmlVNU1O6H3AjhYvLlV44k4fY9KARVZOeuOwhGUXA9cfZuc/Z6Yqf4yPrFISW90UiIitdZfKyL/+b2P/uwfuvvGN/91EfmM5l77z3QCx1e89ct/c8nlTwbvfhOtinPH3cLCwBIjVTg5riOWVlNuzKs/X320kDpW6uTy3zdolvr+VgspY12X1Fr19hbW9rq1Skm6QslT4n0f+jD/4w/+CB/4+PP42HN5dcHl1QXOOeacmOeJMY30oePOrduGWo/qajlNjPNISrPeoiEcd6St0VphN/Rsu8jZbksMEalKVcxJFU20pm19KbSqDh0n2w19iOyGni56pvFgKLs+/N5uwqX/2PQdJ0PHyXbQzzPzgSB6gLaqZJi9oe7BtMqgu+hxGtkfDroN8IE5ZVJK7K/2nGy39IPqjZ3xnlVr7OywVY20umUGnChRpS36TdrqbX003+NlqPTKqZZlgyArKHaTMnuz7bZv/wlq+9rxwf3LP/hvffsH/8Sf+I8/Y4kh7jO5gL/vB773dzX4s7WVr6hUXeADuWRTnXPU9ZoKX+x2ZjFpNzRSDOiorSmDagVD5GWSxJsqI4O21lXSktxwtKN1NHtYSk7M42hrEsennn2WH/ibP8aHP/U8zkXG8aAFbA4gKt5P5KSe0uM4kWslV6VA7g97DuPIOOkqaZxHxlmLoZREmkeiE177xOO8+u4dTvqeLnhlKVGZppGcZhUSOEf0XtveNBNco5Hx0thtOnZ9hJYRMjVNOBrbrqOLkd47gnOcbjc8efuEJ863nPQeR8bTzH86crbdaovvvWqTpTFPo4ojWlEDgFbxXmi18PDiIdf7A7U2pnlkmhIXl1fsx4N9LkaxdOt7KisvWgvQe7/a/vy8Z8fmX7dSMpeDv9i6UVbO9o1/3ji4AcTL5zXqHw/Xmz/wzDvesX2lnf4FfLztbW/zf+Ev/8Vv9bV9t5P2ZBcCc5oIIhSBECM5Vzx2eteiLuWLdWzTfxevhSfO39D+Ho9auXGzLW/m4hWtc/bysCxtXTuygm6srVKa9XBwSh185umn+f997/fzjvd+2PSuE/M8kfNM1w16IHhHmtWGBxFC19ManGwDKc9M40QTFdpTC83oll7Uc8q1hpPCbug42Q2cnmx58cElD68uKL5Rmwo5glMNcNd19NGz6T2dr0RRLrLb7ZBW8fSM46z+Yc4TfCTlRPSOIUbunJ3iKLg751wfJh5c7pnmTAXGNONPT+hiYJxmYhdtTFlQf2FKMyEHgsP8yhwPHz7k4Us77t49IQyeEDyboVN03i22QMveWKWgPpqs08agpdCdOxJwuAFU6surY5Y0Wff7S9bUevDfMHk42uo6mtQ7HvnDbRe6Z97xju/+TFxBfcYV8VNve1v3MI2/syv+T227cAezcvVBNDmAxjwnhthTGpTmoDS9aWrDFZ2RdfbRxAV1hrnRihonty7c56WQbY+o6K6z2BW7qRfzNtOtHqWMSugoRQ3uXrh/j//yv/8r/K2ffg8pFbabgb7rSHk+OmI2VTG54PFA32/xobN2uHL3/K5SHsvEEAOvvnubaUpMebbMo8imC9w63bEdAqfbnltnZ9w9P2HOjyG1ME0HExB4DuPE7mRLyZntsNGVU3OMOXPnfMer7p4zjQceXlwx5sZUK5t+oIuBk82W3dDz6sfv0kfHnEbmOXF+NXK1H5lTIdVMzpmr/cRhTlyNE7lUci1mYSuaNJEz1Qe1MOo6LvfXPPfCfUpO9F3H3bO7IMU0xhVpnhAicTlMXVizq2hNvbHNPVQVYjd1Y7IytVZHFgMAj1TZl6+cVl35goPVhanXTsTJvy0nIXz4wz/23W9601devFLE/ysf3/M937Odry/+RUL8o7mV8zk1vDRqdeRSCV6Ixp4qtRCa3bAmRVMzN47ic0Owl31tu3Hb1purB32HF33/CoDp7VvMVofVqWNdV9VqqYCOmmeurq/4ob/1Y/zYO9/LNM0ageKD7oJTIsaerotq41MSJ5sTQuzpu4FxPNhso/Pm3du3mdNEdI3XPnYb7z0PLi/pe21zOwdP3LnF+ekJt89vcfvWuaY3tEorydrphIi+RsELh3Giiz1pLiCe/TTigmMIket9R98PXO4PTDlz9/yc09MdVM1j6oMK8YP3OJlAPMF5imjGUwiBq+s9lcZLF1dcHSYurw6I96STHRd2XKqjh6ZkHPbXXF71TNOeOY8MQ8fpbiDURgzBkOtCCMcOS9trxQdYbuO1SGV939YiFf4OL7SVG3Dz127ukm+228e5OTr4t3ZTf/rcu9/9XU9+2Ze98EoR/10K+BDcH/CNf7PUdt6oJAouenLNeNcoc6U1FYzH4NXmpSac6/TFXvjRcqTcLYDVynf+eR+1sYjIbd9YzHdZhRG1VFz065uppnZpBVGW7KQ5zXzwYx/nh3/y3VztR4IP9LZ7nfMMDYa+Wy1snDhOd6f0Xac+WdNBEXbn6H3AOzjZbOljZJ8q5/3A6W7H0EXOTrZs+sir7txm6Decnp5xdnLOPB0oJeHocTtd38wp4b1j6CNXl1eIc0xzIcSBKY3s99fM44Rr0HeefrjFNGc2mw190Hn31uk50lQr7UKPj4FujEgVDklb45PdjtPdjhA9m+EB14eJ65ORJsJjt054/t59Xnz4kJQTwQWCi8zTxLQfyU74wMNHpApf8gVv4LG7ZzgECfqAFh8Iy3valGa5YBlyYwZW4oaAO9JjaXbDKk+TGzl3xwK+gVCzfl09JMTIOzaGBe/c76std8995N1/9MnP/8wo5M8IdPptb3tb9zCl73Tw/3Den095xkkzP2LzohJtq1sr625Pmqb0RZPX+UV2ZlpTtyLVNySHN3yy9JcE54P5W6lc0Bndr5SC837xbjITN8ecJqZxPDqAUHnxxfv8lbf/CB/6xDMk83I+PTlD0NvEB6U55qLffwgeoVkWcaGVok4YwdNHWyGFqJzgCofDbPJH5WS3KuwPM1eHkWk6kNOs37s4DuPIpt/gnKfvB5MzBzXiK4U5Vfphg7fYmKGLPPnkY9y9fYaTAOIIznO+29K7wOluSz90BK8+W+Nh4nCY1BY3V8bU6GM8ruVqZbPZ2kEW2PbakYjz5DnpDYrSWPte+dSHaeZTzzwPFe6cn9HFDqHSh0AM+t6KY0XpV/DxhlZc/++N2WX6cUukEHE2QtWVMruMRYuj5k1u3s+3bFpjYFv1rfFlaZyG3/ftv/dv/4d/7s9Nv+Jv4re97W3+5x4+/GeDd3+0lHreckNqI9WkRIvWcNLIsyb50SCIpiUQHIK6M7YaaKhlS7MUQDHd3RKnst6+N9toQ6UXRpY0jvGf9ueKBWlT9Q0PFmtScgYa9+/f5+0/8eO87wMfW5lEu90p3utM56JnHEfGw4gPldJ0lSROLVwFTRMcuk5XRDkTQ1x3l6WoO2SIjkjg+jAxjjO77YY4Oi3g2gihIziHF0hT4ux0p+b1JdP3kWkcub4euZoSpcGmC4yHSdMjxCsPuwnbodcImaqHzTiOdH1HmisPH12Rc+bi+kBusJ9nchEeXFxyst0wpYT3kTzOeKd+0X0XSakgEog+cJhGLvd7cq08urwghsiU1C/sIx//NK99/DFONgPbuNGDx4wFjlUma4xONWrqMvOKc7q7txUYTXERal3FFWuLfKNQVwbXkYq5unEeUz8q0hyl5k6Qf7nv6/Uz73jHv/fLDXb9st7ETz31lCvD8Ltw/Clp3DYvBhUTCHobI8YGypbGoCuP4B3Bi+pUXSSa57Gevv6YSPgy8vtRrXQT7Dja1Vbtr8WtMaDK/KpWbLLuMBcS/jiO/Mg7fprv/6G/zdV+wiH0MRJiRwgdQzdwujvh/PTM9qoKah0OB3LOJh9UBVTwzgzgVSjfLbeQE7pOw8wUCItsYmToOzZ9r1zlUrg67Lk+jOSc2A4DF48uTGecSfPMnBKHceYwzWyip4+OcRyZU+bqeuQwThzmkVoUpJpSZttHSsrs9wd14qyF68OBOVeup5GU1BK3GD6Amd6VXBCv++N5VpePGDtijJxut2yHAWpjPx4Q55iT+lEH59ltdpydbIidI7esoonFplaOKiUfzG/L+7XTOQJabf33dScsywz981aMcGyzbxz2q2nETcaXteiIuFLqV82U9p2/63e/48/++T8//4or4taae8/HPvy7msh3CzwO6j+cS1YaXSsmbag0aZSaQapFZ3r7p/oRKxnAr2Zs3HToaEeJ4YJMLq10W+ZcY28tqwcNNcvr5yt9czFuc+vXKjnx0U99jP/2B/4az7zwgFKUV73dbEmpcL2/1jhR0y8PnQaSxaBgU6uVYCucGNQ6JwZ1nhSE6L39bEL0enDp7jass17KWaNdkiY+AARxjIe9FlUtXB0OazyLZjZlOssYnlOiFLg6jMxpphprappnximvQN719R7vhJYzhylpER9GGsJhTnTRmzyx4miM00wphXGauB4nRf1LBXF0fc/JyQm77YYmqC92qTq/O0ffRYbOEzwMmx7vRH26fLAImLa6W97cE/s1taOuz4Dy5N3q7qIFfnQkXSi6Kwf+uH+8SfxYgcyjwAVaaz7P6ddJYP49/9K//FP/8X/8y0MI+WUr4juvf/U3evHfHZx/vcZaKs+4lExtOp+2WjS5HiX/O/MmjrYXjBaf6cUTXTQvqGORHXOR9L9rqWZDqzdpqc3QZVmR5tbUqK4ZsYClXRM5gh4mKby4vOCHf+Kn+In3fmgFubabjSmClApYauHBwweknNiPB5wTdpuB85MTtpsNJ5sNnfdshh7vHLthS3RO2Uw+6M3s/IrVyeJRbX7YmmBYqSkTg+5QH11eYt0/KWXGaUaa2t/OueBuKKxqbVztR8ZxMiFJ4+p6TyqFwzyTS2OaZjZdhxP996tx4uL6mvPtxubyCee0XZ2mpPv8UphSIqzFIWq9awZ9IuBdYIg9NNj2G/XXzhmobIees9Mtm41a4eosrI+rM0semsoMV7ue9nIPPDGTgMWQobWj7+hNearcQLiXXfPKN7jJ8luGM5uP1fCwxlbbrx3afP+f+t3/53f9+T//5+uviCL+U//Jf/KlVP5EreVLqi7+rO1BozctVrNRLXw7rZ7EnXfmiiiaXO/0jVpSB1ptBB9tH9uOM+8iDr/hobVYRGgA+JJBdGytl1mo6/pVuB68V0JELfzshz7M23/sndx/6SE5JWIMhBioNSuoJaKsKW+3fWtM08Q8z4yjtr1ehKGL9F3PplNHx2ijQoyeGJWVFKLHO6WXNndcc3nLeqoNLq6uGKdZ7XOyKrzmnJimGQSurg/keWK3CeRU8D7QRY+nkmaNMz2ME6VWxllTDGvW98F7YZ5m5jQzzsUC04TDlFZT/Ghm70pgsUyoknGCijmc0y2AqFikVU2j6LuOGDuNcJ31Bh9ip1Exu45eUx6IMdBFlU3GLqxg1cIBuBlqJzeiZeXG/42Pux7GYiqqJWbn5p9bixqOMTzrarEapNmotW5STl+6rem9f/bP/1cf/awv4j/xZ/7M68XJ/8s5+U0L7ziXTJO2RnukrPzaWsu6zxMPfQzrbeydzsbilM0TXMCLP8rL5Bgvqq3rDa6pei1RcjWjAIsStb+r5Axmwhb6bkW4F+AkzTMf+cQn+J/+xt/iQx9/mv044n1g6NV9o+8Gam0cxj05z5bBq21iF4OysKQRbJ20GXpLGrTW2dDpRiOXivduPaBy0ddmnie8OXFmyxxWaqlFo6B5UNM0kUplnGdarcadVgO8O+cn3D7bMo4j1+PISacA0ZwT+0mLT6jEIKSU6EJg07lVyumMdrpaxpozR7aMpVJ1du2CZlctoJ/32qkoV3u5LaGPHeNsJn3i2HZ6G5/utjoPW+u8cuZXgYO7gXH4lWm3uIAcjeVv3tg3DvMb7TPOsRBuublfftlcvNzG+vzoBdDOcy2/7tt/97f92J/7L/6bZz5ri/i7/uyfvd138c8B3yQisnhC1qYzqbaJGtup2l4zmGtFb6GlgIMSDRbHSh8CDqeeWnJ0siy2MhLn1xd7cZpcbl6Vstkb1CDXwjiO6427rjBsbqql8OGPfYy/+AM/wI/99M/w6PIS1wQfFLXeDhu891xcPKSUzDxPOl/Ok3pHZXXQ6GJg1/ecn2w52W51LHCOodPb5jBOjHNa27eUq86stUCtdMHjm/KJo/eEEPAeYnB62Fl+TBd1ldV3kZOhZ4ieLjju3N7xxON3EOe5uNxDg9OtSRGBXCqbPhKc4HEUs5M96R3BCV3s2B9GTne6C9/2HcE1cwZlDVnbbAaNY2mNPCcTkpjUsjZcY53Xt5vtqjSac7FRSTg723Gy3eLNzjb45RZ2LxM46EwsLwOpViXaTXHEeoNzQwxzBEDbzQTMGzf0yrOv1iHa81ObPmellsdymb/in//W/8OP/n//m//u+c+6FdOf/tN/up+kftecxm/2Pji3vFh2CqcyMU9JC8ziRhaCRqOgZe7JCF2DVDPB2/pAGoVKoR4lhXoO4zxGttBWa000NBO2YDtiUdYHaZxI86yFFcIx8cEiQl68d4/v+8H/hR/96Xfx4OHVankzpZFSssaROGc2P7ovdjicF3ObdATfEZywHSJdUBpmVKNzEOHeg0dcXl/ThcDQRRUu5EJwsOkjQ/QM1k7GEElFi7yPHX1QbvXFXsUHwVViFzk7PaEPnrPtwGN3Tjg7O6W0yMXFI/ogtD6w22yQVnFS8W5QqWOpjHNlzA3fMjEMbLrI/jBx0it67kTYbgdKGbg+zARJuNhRcuL26Y4xJcpcOFgcztV4oOERHygGPuXWIM/cOjml63peeOk+9156yINHj6gCu5MTGo3gO/rFR80IOUeFkrcxTHGEBecIIazz7BKiLmZQf1w16WoplXLUGmuVv0wkI3ZLiGmzm41JytOutCJfGlz493/or7ztX/i6b/m25z5rbuLv+Z7viVek3yvIv+K92+opba4arTLniVwzJSUjJCi4UVoxSWlBvFBF5XTeKJWqzlFj8QWo0NaK1a+jloIq6HSOWZRIi+XLalkL1KYBZsG549rCaJvBe9I88873/Aw/8EN/kxfvK32263p2252lGGb62HE4HEh55jDreieb/riLEef1++4Ebp1sNYoEfVimXHjxwQUPLi7Z9p2BSbDtAoNvnG07bu96Tna9Aj+7DbdOdnjA+8q2C+y2A4Jwuu154s45Z1vP6564y62TDXfOdty9fcLJyZY5ZQ77K4agO3fvIEbhZLvh7q1TRITdJnAyKBtuEyOP3T7hbLdRkUIIdJ0j+MDdW2fcOt3SBc9uu1lF+I/fOuN0EzUKxjlSLvigh2dTD0KTfhoJo6H78hAI4jiME5fjzP2HD+mC57E7t9ltt5rK2JlQwuuI40NQa9zVKMBuUO9WOerizHJzjSSrPNGtXc/RfN6kjjedUmt7mZ3TwklQQLRRapFU0ueWlPx3/LO/7cf+P//N986fFTfxw/Hqqwn+D3gvt/1Ch0PZSymNuoetyehuzQCtYuZ1gUZV1ZKLzGlWE3IcSFtXQDkXHGoPU8Wp0gi1dQ3RU4qCZ0uIV8oJJ14LrDUL71ZtbMmKkvqsLar3SyzJyCd+7hnuX1waB8/Tx85GAr0B1SGElau9GrUZqCUCoQ+cnm7pvcOhoNRhmnl0mNmPe6J3mvpHYYiB08Fz5/RktRbyIVhbqXlH3jeePD+zFZujDslUSx27zVbR7+2JKoBa43p/wHvP2cmGkhPbQZFn5wNnJ6fk1ri4vOb8/JSHDy6IHs53A7fPdmx3AzkXuiEw3UvcPj9hd6K39i71jLNKKjcF7pzviA7GecY7p6b30wxdJKWJVhI+9qScNDGxFroSCD5ysttpi3p1xeXVNR/62M/x+tc8yWO3b6/2tcW800IIWoBOjrpiOdrvtDVJ4gYt9+acayqnFeyyEm210owA0m4QQqozL+tSXxYcsGClpdUulfLtF4f6AeA//Uf+Jv7u7/7uxwjuP/XBfbnznmxZQ20NEtOV0oLe6qykRV2q0ixrLZa60IhBW9UYnN5AyApkLMCJ7iNZ0csFoa729Zf1kZgdbF0ACqPgLQDbMm9p9Gjm/oMH/O2feicf+OjHjbbnV172OM0E7wnOMddMKtm8lrPlKhWkCUP0nG03nO+2xBgRF3h0feD+xRXjNBKDpw+ebRc4HSK3T3pu73rbI+ueedOH9ebbHya6EDjfDZxuejbRc/fWKa9+4jFd0fTRbq2e4JWEstuesNucEEKktsJmiJyebDndnuBc4HCYVzArpZnt0HH3zjmnO40s9bbndk44Pd0xbAZ2u1P6rtddfy7cOb/F7fNT+r7De6VYBu9VCNJ1JIt1bWo+TSsKaAYfqeZGuqQq7scDuVS2m45XPXaH7XDcFiwyRI25rDfIG+6m3mHdRiwg3DKHr/TMm7fzjRn4Bja9xve0G6HwuuI7XiTFspdLzttpnr78t33Tb/7bf/n7/qef+0e2iL/ne74nHmr6Cz6E36Ruo/pieHsxSta9cCnZ1iTKH85FAZyKxpw00Vs0mDC/j8sqpsOJV8cHA4YcAq6Zkkm5wcuNuLg9tJt8gEUo3hTMaVS1zAHV7YqQ0sQ4jXz6mWf4Gz/2k7xw/wHBB+asSQVzTsw5m7XPQt2sJGN5LXvHoYts+8jds1N22y2lCQ8vrjnkzH6a6UNk20W2feBsE3n8fMPZrqfvorbuwXEyRE52G7bDQC0TJ5uOV90+42TT4R2cn52yO91xst3R94GhHzg9PWc77HDesdtuGPoNMXbMKSE0hmFD3w3EfmA/7nn44AHeCdM4cXKy5ezslN3JiWEEwfbxwm67wYfA6ckt+n5zQ3mUODs9s9aaNbJl6NQwPljWcRPRcanqLZhzIoSo70nJlKZ6aicwzRmAJx6/zZ1b53oAoiCnD0cSjndHCuZakDdWRAZjvow3fbN4+Xk8+8WTbQWx7FltjVWwUlujWAE3EXIpynso9fwwz9/wW77pn/gL3//9/8vVP3JF/B3f8z2xPbz3b3iR7wzeSxXdH0YfKbmQ0kwuiWJ5uc4JuWSmNOF9INdkURzV6HYcnQ6dzcTeEWPAizPnSA3oalirY7aHzXYRzcQDakheSKWsggQ1v2smIhCbd9UfudTKNM18/NOf4qff+wEur/Yq6k+JLnSaHRSj7g5FlVDY+mdBOIeo6PDd8xNu704oDS72B64PByaz4NlE0wlvep68c8LZyUDwoqOEOE53W7ZDZ8UCd26dcOtsx27XcXZ+ytnpGWfn5wz9jhA6jf8MvR1EM50dBupIOTGnPUM3GEutWDzMiEgmzxN3797l/PwWw9ADQgy6z41dsDTCyNCfsNnuFIFebH4ENpsNMUSjylrhB+VOewsLn+YZH8wcIRVTHil3PM0ziNO/yySPh8MBL/CqJ+5w6+wU5/3KuFqKz7lgwXa2mUBNCVYLYAthW1IiViOBG0Sen1/ML7PuuRE2oH++rGopESHlTGm6oy+50kRulam89rf+tt/xV7//+79//kemiL/1W7/Vf+75+W8R+COt1fPlJvTW+pRajtRGUT5xLpk5zTTRF6AubXSp68pu0dvGsCTpsa4Z1vzbpi6IrCulpvTNZsIHOylT1tte0/WUNJ9rohrRAGRFpx1wvd/zvg9/lA987BOrA5VzgbOTM7bDTpFcWz2UXFRyZzvh4DxDDJxtN5ztBnJtyk2eVXlUa1WZYivc2vU8drbhbKva4zllvWG3G7aDBm3vth2P3T7n9OSEvotsNlt22zM2w5YYO7ouWm6RdSfeE6PqhRfLoZxnhtgRXKDrBjabjXp/JTW9e+zu4wybHV0/GOdZaY8h9sTYE0JHjPZ7XY93UQ3xgrqCdF1nN247+qCZumyNm2t+tVYqtqnIpa650LksUpVFeabP0Oe97kkeu3OHGKONYeanhrq4rH5qLDyAGzftqh9+WRLMCmT5G1z6ZRRb+fU398xV/6/IdLPDu1Ja0+znkplzIdfGXOrr0nR48E3f8tvf/QM/8AO/6ImMvyTA1hd+6Zd+Tmv5D1bkdV4cuRVcOXpeaRavnpS5ZFKZSXk272HziW6FuszOOSF4JHh9AJO++SVEUp6ITsj2wNZcbqTVQ2vBkgOKkSeMrF/NYL4om8jZfLw4AATvtS3OWUGZPPP8/XvMaZmXhVvn5/RxYJ4n849ylNLWwPJadKUSnVMGUhcpFS73B3IpFqatO95aE7vOc2vXcet0yzD07PdXbGJku+nZDh1Dr0jv7du3iKGzjqESYq83o4QV5V02AEIjhGigTCBGwZXMZtio4YH9vOOkAeR933P77BxxER/DcZeK7WV9OFITOSYqOO8JLZJrpR+iCRVst96U457GRBeDtvk5cLYbiFHvkVQSc9FEjlyUmtnaQoUVNt1ArZlN36HBD3WlYNZVlIClTIrx3VnxDG/OL+KWsLsbMsbW1jjbm9LDm4UvFhNzM5h+RajXfCinZBPviT7iRccDJ+m2SPy/TPP848BPfsYX8VNPPeWSlN/TkN8krbpcGsHpVVysdS01L7xTasvkkowAYAhyUSE7tVBzJnQdpWZca7TqmKYZF4TSCrU55jIj4ig1EX2gNX9j1kkQB5xU1F5cKLnYPOTVr9jZukM48qW9szwgfSiurq95+rkXOIwjrWqRqFChqT1PmpXrjXlIOZ3fnSgdsYseHxyHlJjmhPOOMSUcCnY5UQT4fNez7SP7w56TTc+tky1Q2W0ju+2Gs5NT+mG3GrgrBbFf3UwomAY64mO0eS6DKA+bCtH0tXVpB4uqt3bbE7p+QPCmgdab1Ach+Kg3IuDtdqsGLKy0R6e70+W2FTvsnIu4LlJRY/k+RvJgqrTowME0Jw7TbK19o5RKKYk5z8TYIwX6oSMb1pBzovNxZYY5r9bEYnMposSdxWK+ZPMmX9Hoo0+L+GiWPEcAdCV6rDZMzQhElhflNDJoAThLbisw24WOkitdN5DmiRgjUypvbnP5I29729t+xy92PvIvejv9Nd/4Nb82lfqfzeMYU1blkeBW4j6tMudEoypBouUbc0WjlYI3Y7V1CGnZ5uEjX5pW8ThDqy220r5+LsXUUHpal1bIRee+UkxoYbGZGG/a+7DuCb33ZgzQVlH5u973s/zQj/6kkio6Je1raFqhlFlRyuWBbtB3kT5E+qj2sCcbbaMv97MJMBq5FFViOTgbPK+6teN0UHfIzntu7bYgDe/h8bvnnJ2cshk2RvHs6fqezkT1q5WyczgXCT7gQ7feLp0lHzrnLbNZUxxjHIjdhhAi3XBCiBuigVzOewWyfNAgdG+g0dqfYjx19TVaH3rvVZy/WMkiR9dJs/NpLSnBwkdabezN7bPzwWbitAbAyzIW2P7+/Gzg9GTHMAz6fUVnpB8MwzABjbXN67/bwO4WR1SBWo7xLzdZWWJyVvfzbue2jGiL0GbxIFfwhdb0OcxFL42lW2k4wbkveHTx6OFXfuVX/sTb3/729hlZxH/oD//h15bc/nKr9VXe6R7X+hVD98w9Q+oa8amIdD4Sy1tZedM55zXEbNnxolwfo1Na1q+Y/YrdFMU0qE2UoJ6LyfWM8JFtpZRtDaT68WaiimNKfWsFL3qr/MS738MHPvpJYujsEMimX+a44rBd49Crj5ZQjdyvs/VotENn7Ta14h30rvL4+ZaTvmPbqwn87bMd3nmGGHn1E3fZDp2CaCGulMNFXRO7nq7r14BuPUjMpXOZ+LwWNuJ13RT1awX7ms5HQtCiEBew5G/cQnE0EMjbLlolgN7IFRB8txrvO+f1ljPWlFrL6tfSzLpsY1NUnnQTrg7XNsPLmqbRamOc07rz7YaeUivDENltOzabLX3Xr1TaYOYAelgXO1QMkTbA8ybVcgE0X9Y2s4gh3MvArWqxOt5onDReHpUrsmrQc1XJpcmbNaHWB5yPlFK/5mx7+sPf9/3f98nPuCJ+6qmntjW6f6dRv3nlJaMtkYjehqVm2/1WK9Ji64RibpGJ3KqthmZtddoxQKvznuBkvdUX9ZEa4jVKU0CptUZF3RZLaySTuOVaSXbrN7uxFSjr1hk6OE8t1aSESqh4+rnn+J9/+Md56dE1DeHq+opSM9EHZRvVuv4MzfyRl4Nn4UTXUtcsqGoPWh88nYfzTeR06BS0GjpOtwMxwNmu586tU85OTzQrabFWbawWQt4HvFdQLZd8A/DD5jxHiD0hDsSuXx8m5+MNozlvhWc3ubeEQlv3ILqG88s+3i1sJn8DtW12sGrA3IL4Lvt/XSMqTRGBw2HCx6huIuKY5sQ0T2w3G9Uzp0StlUNabmQsYaIQguf2+e4oUfSyzuALo6rdFL38/ID45cA3QKqtDh+Go6wuIO5oumjcEHV/Wf6sEXpwR+7DkrFsczeWk12rgm7B+ehDeO0/823/zNv/0l/6SxefUUX8lV/3tb+t1Pqv1VpPQCglr8W6pii0tt5imtubaHbzTkk9mJtU5nk8Qv1rCJZJvwz4KrWs6OJNr6tiD3Ouuj7Klnavu1xts5fVgGb++BsSR1nbaidCdJ7n773Ef/U/fD/v/dDH6foNXddxmEYw8oL3N0wCalkNy9VHK9B33d+RB1SqsruGGOk93NoObIJj23nONj2bznG+23D7bMdmsyFEJWuocGNhKXX6d5tbyHRQ0b7a+mIm7Q0JwQp4sAK229V5s6FpJhCpN4gOvNyQ/2XrmbrmH4kc1UBi2mRtwS1FQkQN7+z9yWmy12JxTlneQe2QDocDZycnZpo/UVrjkBLjlAyjWG7azPnZwK3THc6j6jV7HxTAKjbbVv1+jd5Lbba2/PlJmMfspnW/7GRlfC3oyssTMu1gsHjW5TnNxdxRRbsR9SgP6wgi4nDBPRl8uPerv+RX/8Tb3/72+hkBbP3hf/fffX1t9fdKm58UPKXO674w+KDEfwM7atMwsdJMQkfV+bfpLKM/eCBTIM+EZt7PIoo2OsfV9bUJ4isMAkwa6+llZdN5rysgDSarRN/RWtIZzOidwanlS8qZ2Ql91Jzh6CNBPA8vHvLXfuQneN+HPsnp7oxit+l2GNQStmQ66V4WTM4N48TWmu5CHQTfL0ZrlFxWF4qFoOIETrY9XRBOtpHzXU/fRyU12CHmg6q0Ygi0ljUMznekpKqrUjKh7/CypD6qLDL0G1zfW/ZvtcdWcEXscD2Gpi9EfuePYXWtFlu9FDOE15tVVh8wC6oLXr26DfApxUz90WA6Rar1IOr7gWme6VDF1cm25/xkYNsH7p6fcT2OHMaZ6D2TZLyop5l4DYq7ujowpcThMNquXg+2lNI671K1g1g6I2pD7EB1OFw03rzpw0UcJR9dQ1rWrqHcyG5akHpu0DCDOJKZNOiWQGNakyuE2nC56C3c9wtJZOfE/Z6v+bVf+deBn/5lL+KnnnrKTa79Ntfk631VpNGJ7jfb6pQjZl6mT/dUkt1IlSlP676tmptHqcWSDoRxHumkAwqtajJgcA5X9eTfjweG1lOy0gA1hkvtTp3pi2sTWkva2sagYJF9XyknYu/X3TWhW7wCeOGlB/zMBz/INE+Mo4Z9izRz3KzMpeLHUVdEy6luoeNxUTOJqFl7VWldStke+IhrhegDlapZSiL0XWDTdUgQu+Ur3jWCa2qOYPvVJWGqVnPkRFvtljLNe8R1JqU0uR5OUVgSNHVFmU3ji5khLGog75Ybt66/tpgIsvhbuWAtZTNxQYFqVNQ1CHyJizVdctdTxj0WqEGt2Sx6e052jcOoVNRwGDkbevbDzKP9npIT0zTh3EC01pkmXF9fsxs25nziV9cWpUW21aGn5KyKMh+QKqtPecvWJRgrq5S04gYLs0us5ZZlvrefr1bdblQ8LSeLmNHurIVIa4JzipwjCScBb11ULhXv/BeLd7/nHe94x3ve+ta3pl/WIh7h87y4Pwh1UA8qjeT0RETUqVLnVb2BMPloLomc1a954a4vy3K3CMtF5WBTmvFegJkokXlhfqVEiJ7DYdQAMXtcuuBJY1rF+D502ooGTxBWjrIgdL7TFyLY7jkXleL5jsNhZn+Ybc6GtM8MvRIuZvThSM7ZLthTzTEi+CNDKNjPQk3EvrPVFohkovN0zhEEghNOes1FcqLOnkrwV6+xnCZVYNVGE28PVT6SEJzKBlGkAPrB+MW6xgt0ayJEbZmSJ8RDTbpuqzZCaLdQrIhvPCjB04oaBirILC9rtZcOpBqXePG6WmbtWrIeQs7WPW2JF636gHvPpu9wPtB1gdPthutp4r7Xw2lMs3YiOA5UHl5dcz0dFBuxFj+Xihhrrlk0qyqkFK8Ihs5TK4WjXHX9Gb0KYoLpxjV1wr9cMAFH3v1ib1wdEtxqkWwW1zqymMFBcoXQKg2hi4JXNPSfq2P+y8AP/bIW8cnJyb9dWn2TWeZT56RRn81ZFKiR0Wu7Yf+qLQ6lUPORHheC3gqlaLtbqoJS2nI6SgNtPoWpquAAGqkWUtJWfFHLIBCiCi5ETz5yKXQWtNXZfCeqaFWk0thG3jleurzg6efucbWfmaZpNck7jIXtMGg2UKi2J1ZqKOZT3WpVvXNQK6FpOui6yHSrfdBMoi4I2y4yREcfdZecc1blVjWkdHn4RdHi5SawnBFyGhGJVKkmyLdM5lpodSbNhajrY2VCNVF0WEn6622phIuqYJUdPEczOqcosmEIyy2tJvth1X4vO3ZVALV1LViNeJHKtP48qSaLsxFwusPuonYuwQs+qCyyi8Esf7IZ6Xn2055pOqPzgdpUtrqg8K2ahFWwcLuj9DSXjL8BxDmvrbH3yuWvomi2BsUrOriEnWM+XrqSkqNbyOJs0sJqU0QTKJVWHeIapWp7LdXpSs7sd2urt0Tin33HO97xj731H8D29h+oiP/Yf/Af/OYmfLtz+sY3Kh6V8vWuo7ZqQng9AUvVJf3yANSazV1fW7KSNec312zm8c0cDtU+p1ApTpUu3gdqXcAHMTE3VlDqrJizujqGIPo1nYMZTXCoFYaeHDtKyTg6Taincj3ueed7P8j7PvQJmsWgpKQ0SuUBe0KoCNGQ6YoTVbeUevQIA+UC9zEwbAauDwf1mRIhBPWadk6gZc5Ozqm5kETpiUKjzCNVIATBhU5xg1ZACni1CQqxUzIHgdrSUdHVCmmckRCpJcF4Rey2uvqoZeWS695UNbi6+sq0ohx0u0J1xjVtdUnV/ryKDZYgb93JFlvNWWoCDUER6FYS1GLv5USrSffsTWhZMYHOkjZ2m46ry0vOdp26XjrVFq9caSdMcwLnGdO0pi3WClV0lZmzdqgta/jcyiwzU8YlZ1q97rPKUmslhM5+3a9Jmlj7Xs30Xy8ZRfAXQQ8oTVQ59A0fIjU35qRjXLXW3NlGYTGmEJEv2pbuX2mt/XERaf9Qi/ip7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<KEY>//<KEY>ZSB<KEY>','png','2009-03-08 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<KEY>XGsooytBvJi8SfRkBmLZrrMysC4UFT0ctP2DmWtJwwO+neZS6z9qUNB3EydG+uUFk4Ld+w3f925wmllN/suu73PnUhIKLj1771/s8A+IllwrH+YCpAqUm/1Z9fn7bcEFpoA55lUOM8b7DkojI/4QmAdwGr8wvcffB+e8F52UaR8v2rS42otCcGDDEttv4SC1aphYut3WUHkNPhZPAewQeE0KGUgtVqjd4HhKg5ePlIKONoF2KBeI/oHO6myeYDglQAsnzDD7/6NfzX/9mfwfd873fhM597C6v1Gt0woF+tcHZ5hvVmwD/4O38XV299Hj/9b/0puNC1m6nIHbyzthuEw82HeP7RR1hfPkY227MGj+r+/+d/6Zfw9Xee40//6T+N3il6DQTEYY08HuFXa/irjEMqONzcYrU/YHU8IG7PgBD1fUxFV5OmsaCSlaDMbBJonrFjNa16kWXO4GaDrpFwMGUgKd99bn8xFw60VWEyXYnT7sAbfQkaeitUL+a5aNRwXU3GBnwVsRnrUY1FCSWNC4Wkg8Q1sL4E9wNoCSJ9zTbgpWFhXVbRErG+gO1Q9cgvB9r0ibOA153zX8cs+CQ7s/3dv0pEd5+6EACAK9NfSOT/bCklaMqsBoamNCnsonrlT4Z1fLI3Fdvt5tpilWV6siymqNTkxOwcVucX7UhRcm6tqFgHUWzyWv0K2mbWOCwLy6lxXFAxDygshkxmmiJu2oeu6+BdQAg9QvQK6AgOmYExZ8V1Zd2UROfaDCRZ9LoUweE44Tgl5Cz4nd/6Z3jnq18FCSEXFd9ku7APJUPkV/Fzf+3nsN50eOvZE/zLf+zH8Ad/9A9je/UELqwwHT7Gf/Vf/Bm8+9Et/o2f/HH8sT/+xxG6QW+MUvDFv/OL+Mt/9W8ilYKnb7+NH//xHzdPh+7Qcym4uTvCDRuwc8irCR99+BFu330fZ8cR3dkW5BymKWEq0CMNEwgMeBVizXkOpdGYVPo/v4fCaIYv2JCXHc/R6O2GrwBUy0gsaHCbpsKzZOnaSYCyaf3nyE1a6FGcM6ereVQAzXQo44S8v0PeHwyE4oAQQWfP4FZruK6Dq8Ewr6X8vM7WL4uxn7SfQ2ehPAvhBC+tvD+tj+B1CsI3+CfHGP/86/7AawvBZz/72d3vfPWd/y6X6T8spSrQ8gIKkZoCrJKA2mSZT+ejs0y4LBh7PHcYp/sarC4ewfUd0mhQVKF2rmpbJVsZtqc8XFs3zscVaQPGeiYQ6ECLbO3knUcXI1arQW/8kjGOgsAM13eAN+stOTinFJ76fU4yr9ImQ2XlXODZwdtTjghwztZpnFEgiOyQpeBud8THN7f4na+/h1/54j8FuT+HfhhU658Lbu72EDB+5v/6BfzC3/r7ePL4CilN+Po738L1zR7ZVn9/6S/9FdztD/gTP/1ToC4iTRO+8c7X8I//yVfwu998FyFEfObxI3zf59/G7X6PD37v63j27CmG8w0EHmkc9dSktFB48xfUdrgKsJoTsLkG6wbBVniFwN5u7FI0mr4Wk1JaDPjy4iBy1qJRsy/XtnEGk8y8AmriNOtAg/oGZiWselrSOCHv98oljD1w9hR+ewnfDeDQnQwIX7eSe4gE9NCarh539PVYHmnnmPOTmDI8zDX+pCPBmxiT7v3zfxLRN7/tQgAAkg5/HsC/h1JWRZK69Yrir9TPbdLTGneFGfU8T2Hx4JqkFoUTI4f9Gtcb9JstxpvbFouliaUF4hbCwSI6rTZBDLNHzhmeVEtewEZKrt2KJTPnYscNHRh6HtH3PdarASWbKakA0+GIMk1Nzlq/xyRK4K8kHXX+UXuze+91K9Ds0gUFDlSMjUAFJHqscRwAZiskBTc3O9zeHUwUY5ZsR3h+fYsX1zuklHAcR6TpqEcFEPI44W/87N/A1dmAf/EP/Av4rd/4Cv7CX/xZjEfzGJDgN3/nq/jSP/1/MDiPUIDv/+xb+MEf/D5sLs5xOB6x6nuNdDP3aBWM6ezVNTgN12l9ZVy3RCNoug3sCMFscNKax7dQf9KcV8G+8uDUNTjvxCeQxAaxbUEnVeJuTldydiyo5igRwEWQjwBrRFxZX8BdPINbb8Fdf7ol+JSkoNcJirBwzLb/ztVQfW9WhjnX4fcrO35NQUhE9N9/0uf5xEJwd3f32+TpKyWlP1JyQTZYKYo051ltVTW5dpG2+tI3+HCc00P/zYWI1cUVrr/5zVkoIaKxWwk2Oae58SjSGH4w9aIOEc1Pbx2DSAZlapN8ONcYCjF22KxX2O8neMtQtOePCpbsLJiKKBHJacqxGHA0szoGO8/ovZpgVHAlcOQtI8q6IalgF2/xbGpmYtJwDpECSYpnZ0dqeBqnxofIyeYzjfgMjIeCP/fn/yKcY+RULLBWbbYVc359vcMUI571G7z44Aa/Ib+L7/vB7wYBCJs6d6HZRk7GViwZcH5GxLe1HLenuPpAiq5va5/Ezlx6ZSG9p7YlqBRoKqQIdBHLLCAbGs4aAs2qWCpa1QWrWQNOMyJU/AzuADdMOvglD756C+7sQteFxpB80/37m57LT2LMlx/PcrqabIa6mS787diR3/B7/n9DCF/5fReCH/7hH/74H/7DL/x1AH+kGYTsHFnlBHrst1ZnMRV91Tf4SahmXXc4rB89BcXfRNntTlxeDFIMl7MobhIEp9QesqCMUiy6zIJHOFgOYtZQVTHjzayWZMQYcHF1gfz+CzhxCLYC4hAgecJ0VLh2EkKGIJWiAaTECD6AkSCuoHceXVDvBdsRQKyNFiGAtTIluyg8AalwW3dSssAOJckA4swOnlvGX9NU8KxfKEXxYTnpx709XX1NlbJzd2SHx12PzgWMtxOev/8CZ1cbBIvycvYzMc9A0ftPOraiUEiUS0DKEnCeNNSkLIbLFm3XPCY561OSSBWPtFj11rg6du30XdrDJ6nhibjxMNhrSC9qx0IMZoGztCf2PRA61QysBrgQFya0N7vxX2fmebAjeANz0myX/2SC8e9HZ0BEfwvA+7/vQqA3pf8fAPmPAGx07TEn4J7QSxt9vq7RH1i/EH/isKR+fHV+if7iAtPhqMk6dSFD85qwil0yCTxBgZrM7YJp4hNrG4vYqtE7hZUej0g+IHSCXIBVF3HYDJju1OfAToGdybYQYxEci+Ag6ovo+w5T0gSlOoXoXYAnTXFycJi83bwicN4yJJk0AwGzocqzuuTEVSiL3cBlZvLpyi/PEl+RFhzLPPPnHRGi9/DsNIidNAI+c8FVHLDpe3gXwMFjvzvg/NE5Qgz6pK2ajxpQ69R2PlOlbCDIbhaMVRYEzWGczStQZzy1Da7kWTfL0bUDMAs2zYNBBZwoQAaWakV+cSRwTtWE7fNwoyL7lUFFQg+33hgV2s1n9PsBpZ9QFF6aIWAOZz1dMZr6RXAyEJfFE/L+gHK5uXgdqfhT6gzGUsp/Q29ATnmjQvCjP/qj3/jyl7/8v4uUfx+1VSQx0cipNVtEGgHZLapefRFendP28qDEdx2u3nobuw8/0g1jNgxXDb+wgJH6oBLRJ6hnmiOmrPXKORvrb0ahi1F3ddCpMWXDaoVzcvho/4F+jAiQEcfjEUmAHQqm4LBePcJxPFqAikqoQ98jTxMCe0RnYaJFRTPFieHIAUmpreJq1Hc9RgbWYSW8Q8lk0WCaESEWQVvP5gIFvjIrlKP+vAGE3gUEp9xJ7eQKjnkC4HDVrxD7DsEHLTBEGIYBwav6TsGz2hmo2GYeAtfjQH26s+k4HFVreYXFOtQEK125ySKZiproDrKcH9nsvehqrnEViqLVkJJqGCrRmBdJxHVTZWlb5Nnw9A7kO3DXa+H4DtGDT0xEmDsmWsBd5/nYvQeizBlZ9++D+7///WgKSil/eRiG33qTP+s/xef9H8H4dyDlXKWhc6wW7psdlKO7EIzgwR/6da2XTvoj1o8ew3cdjseDCkUKtSFjE7BYkSkgOPNGcPue3MmgchnPXnFo5Bg+eggIoV9h229xuN4h7ScwHJJkTCI4FoCGLc42PaZpjzh5jIcD3OSwubpA7DogFexfvIDL6oHIWeByQZJsSkhBDFG18XbRNC+FQI8NHpiM1JwI+nULIdfXGqpA7FxEDAG+nuVBiMyIrDqHWPX9IhhTUl8GCOsYseoHeGbcHu8QYsDQBR0SMsNxADudm4BJJQJOZdtkgSZL5ZzG7GWNeHNu9gcYFJUg2tExQ7w/QeJXf4kW9GxQWjKEnc588jSqjmOatIAGc1TmBCGnHoVilOdi/ENWrwm7CAkR7L0NteXEmbf89Y1uNBETBs62/JOtwcN+4Qc+T25ajLoBqz6epRt3+X3d72Bet+UgolsR+bNvenO/cSE4Pz//yvMXH30JwE8sd4K0+GFPv7FiDvA3d1C97OkGus051pePMN7eKl4b2oKLFI0XlwLnZttloQrWsDO1cDMqSZ4M+AmFlha9jL3zEK9FwyfAh4CzyzPcTS9QwNpSw4G6iIu33wJ7h3F/g8PhDsMqwlmuALFDcB2iA8YXt1A1fUZhByqMkjI82xPDeyQpbS0mAAIXZO+RSsGYM45pQkmWaiwCJ7r5CM4jBI/BR11xUn2lCdF5dOwV2+U9mKCUIRGkxOicR/TasQiU8Ht+tkUM3gAf3gaFNpRzFsNmlGNnxwFUoxB05kHsVfzDRenX9WJufMi6bZxNRDNbcmnIsdhzu6hznpTjMB5B4xGuZBTvICGisFNPQQm13recP1UdardXDKuuJqvcuohTodzDsWP314TaCZU3ODrIq2vAS0dm2HHvfoQdG1z29UXq/j2j6Iby6/v9/te/44Xge7/3ew+/9mv/6H/KufzE8ueQBwcl94ZMIid/7o3PYQKwD1g/eoyPvvZVHRgtVi45ZzjWXxlAYQZx5d5RYxdKoQULD2iQC7CeN6HINaECHwUpZZw/fYbp9gCMguADivNYPbnC5myrKzZfoIuLKoEj7T6Knqejj9YmaupvSUAI3FDchRkOxdZiVaQ3B3vmkrEfR/jxiKPLQD+Y8Mnp+q8KmlBdeQWRPQYf4Nm1XIliyPMkBZwTnPMYVms7GgFhvcLm4sySfvVzOg+wd43SU11+WogzgnM2CJ1VdM0MVINkpSj9yB4I8FVgZFoAVyXp9VxfDUVqIV8yMydRMhKJIB12Zi32Fv8+wIUMclnDStgDnCEcUAI396TULA2gFYNsRGwherBDOL0WLS4Pr6MAWbGwAr8cCOJklV4Vifc3avZatm1CaRoaWczWqv7mNGuZsAxoJqL/9dGjR9ff8UIAAH/oD/3Iz3z5y7/6n4Dwh0UWGXQnLwqdqKfuf/xVIo3X/bN59BhhvcHh+XMgFav+WmzSpABQsiFWLkXFMFWEkovl8WmP4kyjXpOaUEwFZ1N3NwlyShAUdOseOY3YdCvwcMBwsUXX9XBdROgjQvAoJWl+YNyAnMf++gXGFx+DgjrgJuv2K4e/0nzyYsZK87Owva05Z3jn0YcOuWQ4Vh8BGfatvdJGH4IUBBewihG+DfuAlC01yiCxjy4v8ejqMVAKxpyw3nishk7tz9Y+oyYfEc9yWruYmXgx9J0ZEnouJ4tAm4+M2v6b6tQKsOLTqleBgGIpTFQzHG2uUwqykKZpu6Br4N01xv0tmMx63GWU1Cki3esRQFwHYXWZFq5bliqFr1Jzk2pTaR4W7RBORS9vouKrIjcSafrBObxH5qHpiQ0ZzTzX/EtNuoy2ehPhZuJqsn0qs3BvsZafv3X+Rtf1/8unubc/VSEgIvnSl774XxaR/0OgvIpTeQC9dJHwG65W5iagzKYNq6zcrXD52c/hG89fAEztAexqG2XTdDY+ocZgkbEPbVNQRZ6i0eMaqmGJQDlr9kkh+BiQkopwhu0Kx33CGa1xng+mYxB4dlhvzhGcb6zEbtgg54wp3CB2EbTXKTe50GLHKOkuXJl/s8VVsxBm5ZkAyE5luDFLG4I5Pwt9isFCck5IhmrrnEcMnYaYQkVOwozQdeijQ74jvP3oKWI08EhhbC7PEGOA90r3VUS9AjrI6yqOjZ3Y3KM8D2mx9JbUo6DMac0zTMRSjAwgqz09WidRTwtiq8hSNFSnhAEU1zoDDB2ECGl3i3G3B1KC9BNc7OBCBw4RxUeIm5DjgOwCcikKa12i+W2PT3Zj1qHj7El4fST50ncDwTwsXGwQlpc1LeYIkFfY8cqpl6GKjXQtb7qDBdODCCcbuMX3WlDKf05E6Z9bIdBJJP0tQP4JID/SJrVyylCrgZZYOMwePBLUttJAFPWFbFFXRdp6afvWZxG++s9wuL42br2O2kXsicf6YilTv2jghhCcBbHmGotez6+Lr1ULhrMpt/cBOWeEfkAeRnhMeBIGfPPuDpuzS4SgnAEXog4l82Sx3KlxEpV+5AGvxcdlB1DCJILJVJjstd113isURA84WricnnEpqCDIsdKYK/8xZ/26QAGHgMAOvY/qdrRimLI6Of12gzTtsXrxAl2M2lUERhc9thdbMAt88ItNgQMc2b7dou3udSxkxY2NQpxbSzwTq8U2ITWeTohsiJtN7e0WXoSqwONmRhN2QFzDb9V3IiEgE6OQx3h3g7I/IIyWThV7Bbr4AIQNEgWkqP4IzVy0xGqY4FHmOD8sCMt0YsFerLptMNrk0oJXswrqnVy3Hy9Z7ZeVYDFobGeJeUayrCh1PQtTq6LZ+nkhTsJXiA4/+2nv609dCH7sx37sw1/9R1/8cyXhR5rk86W01de5q05fECnFFHvV420rpPZ7LQiuH7B58gzHmxvl39OcblRyaSu1UoqSksRBiiCJ6g+8i1YMAKFicmS38N4b584XTJwUjCId4mZAGQWP1+dIPqEbBl1hsSCGHuN+B3ERsRswHe7w/PoF0uGIznuwUNtv6959QoZm71Vbuq+BLh6K/a7gCrtg67S+6TZcfdMLsmR4UlrvKnToYoSPUUGhOcPHgO7qCgUZ6SgIIoiI6IYVJBL6yxX6PoBKgiPXCNF6jND5gvce7JQWVMEy+qubzWWNQKV/t1KJ2DtDMtg8oGAe6sn8FCyY06wERTsB8sjebm7nLB1JI/AKlD6cdrco4xE57eHHSWna/Qri1yjCSnEmU51y1gBWo2GDCNl4A+3pSgv3JOksYT64LQrcfbk8zU9wkmoymoN5XuJuiDwMOrnHaqR7Iq66Ikep3g1qQi5q3xf/zPr86Xv/3AsBALl+fvvfDuv+PwXw1hwF1dzX87movd/zTjhnadPa5b+gU8XccrBYz6Hbp8/w0e/9LkoZdW9NulJjp8z9kgu8V3mti3rzqRdelXnOh6YpALSqs+UhMjkUEvggYJeQjqMGlm62QNhg/Pg5LsYdimcMmw3IAXd3L7A9P8ejp5/D7u45nn9zh5sPPgQSKRIbhPD/s/fu4bZeV3nfO8ac8/vWWnuffe6625Yty5aRja9gbFL8uKQJtE1CoFzcAi2P3YRA3eDWDSklqXJrA04DlATCJQQS25BgDMSuneICBuNLivANbMs28lV3HUnn7LP3Xmt935xz9I8x5vzm2vuIEluWJVnreY6PJR1t7cua8xuX9/29rCs4YYJ3wbYLK20/nDezTbtn4boWBciekkUsxJXinNNaZcHssOh6bM8WCD4AXq9E9hmzy84iLGZYr/awjgTvHU7MdrC1s43u5ALdvENOK/Xtmw6hUKcLqRpM01prI+hDGlM9VWEZVaYAWbbBdIDYVo6TZDzpV8ys2gnb9mRiJB+AMAMFBcNIzqDQWa4GIzuP3PWQ/QOk9QoxZzgEEM9AroP4oLOgYg/ORd7bal+m9yrZrICKNuUSW4WW1CXNbGdjaG5q0XxYDdgMDKlamacVYgb/BykZ6wqUUpPlwbv33v/AP7r+xCl5OC4CvPSlL43vfvfvfV+W/AtZcr9xoJUmOB3gnCvyqRz09sDrpDxt+LrLbGDjgsmC+c5J7FxxJR747GdMa29JOxZf5nyBkuhh994rerwq23AElipM09Vl6zIXfGXv+d5j+7KT2Pcecu853L+3D3/qJPxsAc8JwSUEN2KxmGPPAT4Xg4xoBJd3tb0JzOiIMQ89DsYVhpSR7L+ZRElBuXj9hZoDOZXmktUA5TLQ+YBZH7CYzRC8pvbCOV2x9gtsnT4LUILICFkPOHv8OE4f24HfmSEcmwOUkdajjiCMQNR6BwBYLFnp7xuhTDWM8WQBr08u3qgAUaGdKocqY6DCLkxS1IMZGQxxegm4rnAaMpBGiAsg36uS0HXIYQaZrSGDMgcSEaifg+fboK7XqgVTGU8lK6EYfgyMKjKtX6vUGYRk859iC5JShpPRutuh4sbmgEBNmU/mx0EZHlJTIxTJNvKU6lVCfDGdgU0c4KQ/UElCVjAp5++7/vrr15/Lmf6cLgIACGH271ar/feLyAvr9qDJJNQKiDT0RHIVilDT+2SUfPvNSqCWjPUWtTeZdzj1xGtx4Z47kVZrOFshlu9tffsSI0aduqec4W3Pr9NZNi2BwU9zhmNNGMpmiHHBY7DyXpJWFduXXYYueNBn78C4dwA/O4bZzpVI4z7iqAafEHp4dhglQlXMDB+c6gwg8JkQXEAngnkMGFPG/rhGEiAJgTOQJCmABMbuNyOTh0JDPXsN6XAqGtK9P1tArCA7gnQz+O0F2BNSAvowx+VbM5w+tgAtPBYnjyNTRk4RY4qI8UBb9oZABRHDmqsuQAuwIiSiWroWNmSRHovNANpUIuUB6PdAUlkzmu6UpMJIBYA4hxRmYGMPFv4EKANx0LBS9uCZ0+FhjJAx6veKoNuFbgYKPYTL5L6xvpcDdqhvzzJFo4q1Ogq1mKb0DdVfqcymrNwYLkpbAFAN3blUyzylI23A+XVt2HoS2t8JG7O0aetGf7SW/s2f63n+nC+CF7zgBRd+93d/+58I5IV6WHLNhiyT9DJuSTZPLr3V9NTTN0HrLpSmR7pUilzY2sGxM5fj/Gc/VQetJSE5xgTvyVKXPZIIKEZkYhDnilQXdlMWQtk62FPLeQ9O0EEfETwHZInw3GE2n+PEzjHs3reLg+UKiyuvwvaZyzGsdhHXe5iFgK15j4tD1tBNEDxI9+4WDpKTPv2y6xFzRt/3iDlhSEoJKg7Hgotn4wJ2weta0CLWYcYqWF8tGeB5j9kVV2Bx+gySRCwP9sDDgBMScHqng9/uMb/sROX+SSLIyJDQeAuEpim6iIE/FExSMim4cOFaCm9LpLYnq1AbBahtThEhCUntf8V259k5ZKcDvxJhXnPLS7WYYsnd03bGeVA3Ea7AlrBEk4LPCLcNVYya5+qmFyYJNJuTtWBvNxpEQEZqDFXlfdO0DYXJ0cwCLxV0JpuriJrotHHoxZQLItMl1FRe1GxdiPATV1xxxbmH/SIAgK/5mpe+9rd/+23fnnP+8zWHLot5yvULSlImRFJ95WUroJj0rMM/XCq8YVPllaG97IknXIvzd92BvB5UEJJF98al1GaVnWYRPfTFkQjRqbW1K7mUqA4GP3XaXzNbe6CziTysQYseFBy2T57AbD/gYH8f48WLCCdOQAS4eO/dyMMax7cWOLi41rYFUGEPMTxzLX/hPIRsrmHg0Fim5vaD9t7VlSGTAwngJFlKk9NjKEpOilmQHXDquqfgqqddh9WwxGo5YtsxwsGAE30HngfMrrwMrnfI6zUS1FIOQO285SmIKdpcDT2oCLLWD1An61U6nepfE7nJFHYYVMvUBNLA0pEZmRmJPcQFCGtSUpYEEguyLZ9bSqoeRFe3GUWhmGkz6aqsA1tBT3sEm3V9cxdkq1K4ekg0GEeql+aw3fjw11g2IXToqb/xfWgugU0MWp62BeVh+KCr93rT/OHJa677Gfo8Ypk/r4tAf47pb8eUvkJyPtW6Dss3i+2bkLlFmKm4JktpDdq2YnMce9SyTFjsnMSpJ1yLc7d+XBHmBXtFig5PZmUlpwwAztmksuW/nSzmHXUSzXCVjei9Rw4BmRSQyhQRhxVoPcKnhH6+AMWI4YFdxPRJuNOncOzM1Th/++2Yb58Ch6VmD/oZUhL0ToeHEmG+eZjkFYgi4Fw2BBYlZjw+lckW9yRBou1GSM1GKWtMeSJg+/KzOH7FKWRJmIUZwt4KfgQWx06CO0J3+Unw9gxxXGvMmtmii+OxJlmVbQ1N9JzpyTiFjhAKdZjrpaBTc9T1FjWo+WnHPNGMCvE3sYJPsgsQ12keZREVpGglfoHelMDUEUJhQ7MCTN7+6T3YxpYfPYzUPvGLc1BEBUtV/8/NRUhHHlRl/tC+V9mGjnQoKPWofbGtTeTIhfFg+pvm69kVkldaeAm+aBcB83vem9Nzfksy/guqPX6JNdN4bFWStVioKU6r/f2ozJM3RRxlOuo9zj75adi9+y6sd89XZqHY/r1CNlkPkTSglOLm08wDMnOUBnMADs5ZTFbxtQdvXngoYj1q/t58axu0ewF8fh/D7h5ou8flV16OM0+8Fk/8iq9Gv3MchIjde+9TUIYAB3ffhfXeRWSjHtH6AC47eC45g3owndMLAI6NvqOzDHQ6RR9j1KFgijhzw7Mw39kGPBAWCx063XUPFucu4NhVT4SfM2TmgJmmRmd2gM9AzEg51il8EQCJha2W7MosUS8NO9gtjpvksKzVmAq2OUATOLMxRyLaGIJl8hD2EO4hzBYdYVQjc7vmErVVjAvZTpJxKGqickNKzhuOvuaaaEC50uzzpSoHRD8HMvGXkZT0QrjUvu9oIGk+VGgUYREdbnuPYrs2qoBJi3PpzbwA7zpzzVPf9fmeY8JD8HrTm95wPTLeTcDpOvm0J0XRx5M54VrvgW4McvNFU03DoUZFVUQrRG76+wDuvfUW3HXLh2rmXaHqqJXWI4Rgse0Bnkj99mWtRKafj6OabbpeqwbDaMVhrCtEEgKtB/CYQcsRXgi9C/r0GNbY372AVVwDx4/Bb21hfu2TMD9xEgerFfxsDscOIbhC1TarNmP/nnvB/QLjeonV3gHSMIAysH/X7YjLAeHYNsgH5GHAOIwWQSYYlwegxTaueuYzcfKqs5BhhYt33I6Dc/eh393HgjosrroG4exJ5LxG5oiMhHEYbHUqQIpYH+xhuXdRB6aOEYJ9r7y3XwzPAmfn21naMBUifJN6RDbIKtUBVRSYtGKX2voU1mVmhxR65G6BHGYNdozqdoeLkrFd2ZlUHM7rFqHM/amsXNtErQdhADDrWhuTgc46/zrbKMIpshkKMx1qWZvqtRRNNCH76v+vJzn/qXgcbTWARlPTnlgRrBj0wlNPeMoHHxEXAQD82q/80isA/EzRl+vcRn+gzoZlxHSYtW4jp6zim2kf2iQkOVOAkb1BJjHLuF7i1v/397C875wGm9qAzXsNJwmhh/cOoZ/BEdD1nfIJfQCRPumVEZDhZwurAgxmkYHVwT66rldxzBiBA9Uv8CqiIw0lkXGAc4TVhV1w5xBBGq1+xUnwsS1QN8Pi1FlwCDpAtEn2OK4wHiwxP3MFfGdxbM4DLmDYP49hbwW/mGO2vYNhudJ8gWHE3Z/6LO665SO45oZnYOvEMXBaIj/wAPJtd8NdXCOcPIvFU54M2g4QSRjTCiBBTBHjalUHbZIj1gcXsdzTpGVHKm4KQS9RH5yZp6iai5xjkKjdmKHbDCE1U5D5GdRNSMYCMDMStcAKWM6EHowUOqRuCynMIKylPnGbjmU/k2Y/V9oBAmm1aShz2IMitxfAIX//YRZGnYs0vEn9GlHZF1Vs5Jq5AVrISGkHuCLb2kuH0ewSi0HoUhfBoQH5EZtxfYhYxZPyq84+6foffSjOr3+oLgLh5Rvy6L+LQC/WQ8kVXKGKOAFSG1q56VYsKXdHL4HiiecpLYnVDut9wBOe+Rx84vffiWg2Zce+Zu2JhWVIinB91/wcaFpzEqn/vsa3s8mGI3wNbhVdW3UJeYxgz4pKSw7h2HFQF7CYL5B3L8Lt7SGsB8jH79AA1O0F/OX7SB0hz2aQWacEpXGArEdIN0NeWBS88+AZwSNjndbouuNIq4sqoc0CjiOuuOwYuvVVCPv3A/ffhbCO8BFwi1Nw15yGP30C4kTtz3mA8w45RyBHcEmr5oRMgAsqJ6acpqcdZQiS0pd5EtdUslAlRNtws84ScvN4JBMB0UYNW2LpSvuffUDyMyTXqX7AenOz0apwCPpxqKr9AEKqUBoqqyOmyaQzjTQrUg9NFUolFIc2UfpFr6ICcOVElIuLKkBGV+Kt7LgF4BSJ/YQy10uP6tARRwRGh+yLD37GqNlIiLy/D/m1D9X5dQ/VB/rX//rXV9/8jX/xE5Lx3xSJcPNtqqqutp+SjUHgFInGVrozaamulYWz0r9AKx2c7zDf2sFqtY/9+++r5Zzj5mY27n2ZZBcCT5s+NRF7m8SeqOBLidFWYfpGzMsVkKJOGrMOPbevvhzbT7gKaTmCU9L9vgDz+QwdgHBxH93uCnzPA3D37wL3XYAcjHApwyGDhwHdYhuy3MPyU7diddvtoCGinwf49YFpEDL2PvUJDJ/+DPxt5zBfJWy7BWZhC+7EGWxd92T44wv7iWpoCHtWOX+KyFHTm8nl+vOQZCYoezKymaEKvJQMt8YGF6Emyp7NZUh1jSgVIFuAtlSltrlav3PxgbBH8h1SmCNxN40jD4XoHjb81F192/MjQeCaHr7B5R3y7LeHj46U6JcyBskUzQ7Z9NehEtgPfY6HuJz1Ej3aFvz/4dQnQdkRwOr3nLzmae99qM7vQ9Ya2CdH/+a1/+KH2fH/SESkbkBfsdOaKsNNybZZ7pWnPpXhFVyNyuKCnWI3YaxtwLV3/j58+Pf+H6zuu1fDLphNzBMQQgfPDrPZDCFouRq6WRUV6YNMgRxlaKaBnxFxUGw7OXXmyTgCyxVoNYJHQYCDExUJbV11GWZXnMV4zwXk3V3QwRI0DOA0gLlw91HNLWlYQ8YIzFRD7zqPZA9bYUZejyDvkVMEbS2QVwNkSOAwQ9jeAW8fgzuxA/EF2DoijWvbJAgQPBAcclwjDQNSTGBHFnsKxJQwLJdYr/aRYqpZAY70YvRe4SY+ELxXXgBXpSAmoYwkPfQZU8ls7UEtiW1wqHt6XenmboHYzTGyGom0IvFNcrbpGTDNHdqLuo3NK/oB+M74hX4ziYzpQTZQwKVmdrSx48uTItDs1KjsRqqk680LoJ1JqP+g5HccJhAx4dIbhUueL5tlZPq5E9dc+4rPZ134BWsNik35Ta9//Q/tp+WfY3ZfXtmCrlGdFA6xUMO51zgqMnAm7ECW6HVlCloV4KZ/VsJWd05fhic/54X42Dt/GxjW6mmwqTPnBOccYhpVRku+lp6aUhQRXFdZeepPh3nyHVIeASjAlAV2uCLS6gCAB1OPlCP2b7sD6YEL6I4dRzh+DIkBn+dIe0ttK9xkaoEQnOtAW2xOOC37VQ+fwewhjpDHjOy2QLwFuuI4kndwOzugPsDNAkQi0oXzGC5chHjWvIdg2X+zYBAg62kdqV7Cpu3OvAPqtZik1xrEak/6lDTcpe7TpZb4G0PhbCqNGnNepu95ws5BLNsByL5HCjNEckhl3cx0JN9S+0Wp6UY5q3BMhcibOYrICYgjEEpIKxvllo703oeQXkcq9equlPIhyB4Y0gBzS2sxcRI3UrvaNaO0MJI2HNW2C39KFqF9KR+NiX7wobwEHvKKoHzMX3ztz32TZ/fLzvlKyuEaL8UVO10rAWIdltlN69hbiWoXATOYgx7kMsEtOGwrI+O4xsff+x7c8UfvB5M+xZxzCKFD13WK5woBPjCcC3Ch051+FmsPfN0aSI6mYkuIw6gtgEV1IWXk1RJ0cQ80Zjh4dC7AZ1Zoadeh63rdkoA0OYgInJMq5piBvkNeDuCFTsk5jqCY7ADqgM3vHFe35OlToM4DlriUlgegNCCPa+T1gJxGPWCdg3gHzHvABxXdxIg8LLW9gUFl7c0Y44jVcolhtULOsQ5KiQBPyin0TAiO4IPt0SVvPOkmC3HeeLcy0xGEnUBpTRIC4uw4og8YwVXAVWAxZaBcuntiaQxCzeaAJs9AFRExAS5YsAlj4lWasNhgLQ9enjcr7KKpKITVrFJjQiOzblqYUp0eYQ4e8iEcrRpwBDDyJ9QEIKHvOnH1tb/wUF8E7gtwEeBX3vjrH3nZt3zTFoFePFGCp0MNN80AtGzmChXRiPDpAnFWljvHla4LnlqJso3w3mNx/ATuufMzGPf3pjgstpmD9b3O+Sklp+CvjUzDjifQRE5TfJXJpyVlC36NEDAS9P/HYY08ZqSDA6RhjbRagXMC8gjyiueScVABE03sPmYA46CXkQvqgzh+Au6qK8CnT8Gd3AGc5gDkvfOI998PuXABcW8XaVgjI9VIN5kF0GwGmimlR8ubqJeAXZi57PYhJrpSx2aWXL/3Wmg5OK/fO2dqwao8pAabLlmVhOaNzxaOghJrV/KtC+aLPdJMNwSxcCvY2c+Hp0g1mrYPJVy3PTBTkpaYlmFq1Au3jwyBdngmcLgyuFSVsDlTOPTv1rlHE+LTTv0nE0MVZx2dJdAlSv5Lywo22SXy86eufvLffagvgYe8NWi/tkjjD/e8+Fp27rls+m9dv0y7+jZPr2oASsJO0xoU7XsdVJU3C6iudgDg2M5J3PAVX40P/95vYdzbU0GQ0xs9Z4331kvGV80cO1OtiR7yaf9NNim2g5YicrLUZXJITmm6Ka+AMSNhQHCCJIoOS+sMXgm6HJWklASUIyAeHL3q91cZjhyo6xRO2nXAYgZ0jLR3AWn3IniIyGlQpLdnlVKb5RoUkDlAFj2o64Bgl47FfimnT8ErWZTrqHAOFVJRToY/U2qxa0JLCWLyYlfbAilC7eLrx5RxIZJVjWeDwVyCSgrSjhxyP0f2PUYQUhnSOl9/xtzMj4ja4NCMzbf+ZsmtyUisNYRkA7aQXcKFi1ieqA304xKXQN0qVFXslOA9ieHKgLIoBEg5BFY1iZSqF1UXcwhHtNGSFH6hth70IBcCfQTS/eAX4hL4QrUG9fVv3/jGl4Tg3k5ef9hsk/s2irpEgLuK0nY18rrGX1Njxy0XgdARPTsRIY4Dbrn5nfj0+9+nh40I21tbCJ0KjGZdBx8KjovgeWax29Ew3s7CSCIkCdKYIEmNJuMwIpYUaHKI6wGSElyKkL19+JRBY4KHWo6D85O4yQV9L7geOY6YOYbLGexVj8CzLRVfbc3rLjuv1yqFTlGVkJ3T8nbeQRwDfYB0C6D3+vT03hyHFls/rDV52DNSjpMDEwpoTTHaIHFUCzIRchqrWMg7QrCVIkuuRqMWP3eEy1/cc+WNnjMSMTDbQZrtYM2MJGbu8kHbwNLubYSjyEZaFudcL2W9JC41YXfT3MCrVZnYF2DHRFYGKuehmKum6fxmZqcTtNrrhg4izeaA0MaZqv6N60OqaBU062GqaHBkbnF0A9HUI9945glP/dUv1Fn9gl4EAOht//dbvx/gv8fO+enprmIUZzgsZ5cDH3LcVRUXcVWZXYr3vrEaEmDvwv147+/+JnbvuB2OCIv5DME59H2PEDy6vocPQXFirrc3WITz/eQqSxpCQgKkmBBHzQXIKSKuBggIadSIeAcCxgEYBvAwgmI05yHDk4Of9TaR95rDxwp8pJjR951uDUIHgsBb8jIBcF1QU4+zEBHvkL0HbW+BuwAs5mbv1dTvMgNANpdcTIXJVS+Csn+PMSHHEXG1MoCrs+CYWKGajgklkYwkq9DGiD/IU9pS5ajY31E3qNGbQZB+C3lxAtEHROg8SFtAV7dKbdWHxoFX2Afa6kwVWhssUoaJ5ouuaw1yAWLKQ3U8TsPqqWF/8JlBQZLRg10EyBMEF60+ZZpdFEUikUwzhfqfbf0LuMQWg0AaIvJ/nHni9d//haoGvmAzgvb1Ld/6be+dzWYvIuanFPim9w4+eHj76856Uu9cjRNnm3YXAw7bPpsLRINQbbFldcOmbOtnM+ycOoU7b/sMYFFhbNWHC7o1KOtHdR2q+AhQFgEzbZhk2vE0EyPHjBg1bCPnrE9ndsgqf0Eisl+C6DWkJEGwzhFDihjTiHGMSFDn4RDXiCkhIWOUCEHCmEYkToguIzNAnYPMZ8B8jrxYgOa99tF+QowhJxUqxaHad8mEVTCvPmryMOthzuVA5Srf5uJrKhoCowvVxXwZOlLDzWufLGZFzwDybBuyfdK2BAxwQLC1rvNBeQo+2HvBBsLOm7rQ2RbDthnUaglo8uS3N1FzqHQ20QwSpwahXjbtjxeXmB+UZz1oM/68rYimlWMJPzlM2MqNf2DyErS/i4F1pVFfWoXwexcG+u7Tp0+vv6BPbDwMr9/5nd95hnP+LUR8rbNelK3sdM08gDb2x5s7WmwMb8wvD2y8CdvJTs4Zn/jwB/BH73onAjECC+bzOeazHsH5aSjZdVNfygzng1UWWePQY0KO+oNMZrUelyPiOFo0fKxcgJxsw5CScglzUlkxOc1BZLVhs3NwSWGfLABnLXdD34MdI3hnpKSgMNFZD+6CEnv6DhQ6uNkMFEft4dmyIFOERMNfOU3+gaiKEOw1cNSiyFIakVZG94mjvfntCce6++eCFyvVQDUTTWnG9YAY0huWT5BByP0WaOcMUr/ACPOeuFAfAN6FScTUQDjLJVzyCBRAGvV3C4KtlOsqWILOCTbeK3ZRcck72DSxaUTStAHYWGcfqQjyhtQXdnCrDLlsE5oqqXEgTB+XN7Mh6ZAiqQrw9O455x2+7uyTnvEHX+gz6h+Oi+AlL3nJR97znve8jIh+i5nn3rHNA1AvgklW3Bg3mlUMVcsmDvVyjS2LpJZc3jGefP3Tcf+9d+OOj30MyECXEsaYFMwJwFPjJy9EmSpaYWRiXRk5Qo65Zv8RM4LNGMasA8mU9Y0K71QIBIGk8sRkJQERwS965CRIdk45RnAuUE4B56ilrNMQECGt+8WpPgApwWFEkXE7hT4gR3uS2KGSai0mIHSTcYY1FdqJDuoij3ZYdFeuixSuhwBNPFhFZsnhp6M5CnOuqU25XwDHL4fMtrQdsHbQ28zEl7mRtYYlgq69CCCClElXtkLIlGo7kPOEvYcxKY703RDo/RXtgLkm5Ma2HoQKjKXMOi9qnvjVBHcJArE0smTChDVreYYV6WZDSpLGmi04xEBEReaRIILkvzr7lGf9wcNxRh+WiwAAlsvlzdvbOz/kPd/kapk/7a7LJVDUZNiwfE6gTMIlpKKHysKcM8YkiJlx1bU34Nztd+nKzeK1k8vwAHJOcNRZAAdNUemOq1kqQ5ATgYUQDVfugkMmjR1n7xHHFSTq036MUTXyotFpBLJQU4/Q9fo1Oqqip1xSg1KGNypSXsz0kiFGmPVIrmC3IwAHYgGlbHRee0I5rqIVcuqbUOyLM33EZJrRZKKJggTv7I2YUfg9XAZaTFVnrw9+20pUNFm7BlPCksy2QCevBObHEI0b6NlZJWCrYYtP49JH14vAdAlWUuunm0CZJlAR4nQZiFSuwdFNgFY5NeIORenEE2SlyCKlySmgTYmxHtRLocg3eQFt/pC0RKTShmSTXhvnoHY0IvYpNA80oR/dTfz2h+t8Eh7G18033xy6rnstM3+LDgxVZeVLFp2jaqoAKeV/w8hyiSFLqwBLKWMcRqyGiNUQsVyPGMcBd//xLbjz4x/CVt9hezZD1wd0XWdW22DaAldtKr7r4LoOEkfkGLXfTQlx0PI4WgKytgAKQilTeE0utkAPjWdWT7tkBO+RY0LoZ4hZnYhgRZkhK95M2xabl3hNN4IPYBGrovTy8b2m/yBn+N7XwReVflg1w0possNHFglXLjxZr5FGS3RmG8pVzFye5tU5gSTWslxSrvHiRY8rWX0LOSzAZ58I2jqO7LyuCcnBO5ObO5NzlxaRymVQ1nXW35vOQVuD8r3VAWhOydqybC0DGeRm8g5zk16ksm6zLbMzCzO3zoFJoAY+OsRr24Lyfmvkj7U6kkOCIT56xAq4BYewZoeeav/XE3n+TfQ5gkgf0RUBALzgBS8YP/rRj37vOI5PIqIXFounoNnZbug4qJF5bgIe6pY56xN3HEcsV2vsHyxxYW8f+/t7GA72Ma72Iat99IstxDhgzAk0MpgSHDu9pc2ow3VApG4z4gl0CuP3xaiS5Zx0gk7BaUKSDzo3sM1CGkatIJyHc+pHSOZcBGmgCER0IyCGUGNSopJN9lOMVpmIYcPYzE+tqcrG+jYErMEtbpqMT0SvCa0tOQFIyhHhholXWlaymUPZ5cv0dITnjcEWSu/ebYHPXAM+dkZTj6EqRVfWw2VDxG6aDVlVyPXzmyTFBUiaSeDEgxKQiiRb2C5bbnIRpnYlV1myGOptQoUIT20mDuHGpXzFph+obtlLiH8uYQSapEcNfWijwmjAr0JTtTVdCPJ+kv6vPJyXwMN+EQDA05/+9HMf+tCHvp2ZPkSE7pKFSTOxLUeeZPOCqC3AOGK9XmNv/wAP7F7AnffchXvuvB379+1ixoKd+Rw78x6ntue4cDFjGAYNRckJOSZkZrB407rDPPQWRcaELA7sEkg84pjB3OjqoW9CT77OMVxJbPYOPoQaaCoAuPNVI0+17Dbfg4FVikgqixhdyYFcqJh1csZb6FwVVpUeX8hgljlPgRul7C5x5qoGmhKKLGuAcvG5m7AlT7HfMNBobuLJSlle8iVz2II7ey3c8dOQTtstZxsIx65GpnHVi3CNrOONzYNUOTTEuJJgiI+thA+Sk1GWD+Vp1gtreu/UA5oiAG+zHt1KQKY7QQlHBNnwCeQj3oQsmyngFYHXbhF4EkbljA3M2YQ8pyMk40zuO697xg13PNzn8mG/CADgxhtv/ONbbrnl6wXyeia6fMMvWtlx1JBop2DJUo6lMWK9XmF/fx/3XziP226/E3986yfwwD33Yts5nNrewqntLRxb9PaNT1j0Acu1BoxmU7+lRHDSWSDnZGQiA3h4g3JEGcE5K2I/w6LKFZVOUX/SvgvKRPCM5NYAMcYhKgMxxyqHLnt29esLnOssbizUKHInllQ0m8GFzloCttWahZAUXiAXfz1rCewn1ZorEt665rartCT2lkk3SZUO1wATQ5NntWPqgS+XDJfhoCB323CXPQn++BnQbK6yYVvZljUwG5adm01RAY+U+cCGVNdZ7iW5ScUnbJwJhlilptqDSRCknytqWV6+tpLBoLBUG8QWDmIjk9rkGxwG6pKtma3iOKR2nFaELUOhpCNtCpyPiJhA9+dM33nds778D78YZ/KLchFYZfDbt9xyy99mh5+6hLfCugTZTJOxtU0cVlgt93Fh9wLuvPtO/MH7b8Gtt96Obe9w2YkZTh/bxpkT25h3vr5Z1TjIQO8Rx4RxTPDsLCw0w/tgKcQRLnQbyCnnnJbSwqokBCOlDO+8pftq305EyDEB2UG8ml66TgdoeZwGXM4m6DD9AtvqzPuglYRz2kMTwYVCVFKcmK4aaIprsyA/8urelBRr4Agby0HJPdOUfOqBS/aLPpU1Kk6rE1MBIMfREqMKsl6rA876fUvdMYTLnoRw4jK4+ZZuTRolKNNkRHKFPkQOzDKpCe0S4IYwULMFTf+Ta3GiHgN2WokIZ7P5HhrwlQAbbNKIxC7BEhtWBEi0Mb3Dhh3xMF37MIOgVJAoKUq5IMnKV0VTW9UUEm1oSZb8d6575vPf+sU6j1+0i4CIRER+9o8/dssZAf4WgFnbD2x6wk2ckUeM6yUO9vdw7v578OGPfhLv/+CtOHfvBWx3hDMnF7jixA5O7WyjD4bYxmb8tIMKdFKMSMEjFOWaWabZTV7UIm/ODDjRCDMSII3ZjDYEdp2GnFpPzl2HNIygHOp2S0hViEWAVF17ZKnI5SLKguC95hci26rNXJk+aCvhSxagim24CoZognpKttgzN80IbPhWpvJUuAXU+uaVKl0GdDkmbaFyPhRRl5FEgG4L7tRV8Dun4OYLcNdN7QqmLUCpCqr0tq6LUdl+9d+ppbwDISO7QiMUrQRqNZDMAm2DQQO8lkOvOgFWubNwY4PP9UmjNGuaFIFmhKqDqUMrhApdKTMMyKGnPA5RiKW+9/4EN9FAhB97yo3P/4nPl0T8qLwI7Bubb7755tccP764KoO+15WysEzAZWIbpnGFYXWA5f5F3Hn3bXjPe2/Bhz92L9bLFXpEnD62wOUnj+HMiW14Z5dA4dSX8i8nICc4EayHaFHgJXsv6htGLA8hZyBrme04wBEj5iUcMYQEPgQ1CjlCFm+uSGWkuz7oZB1s/DVGCl1l4+eYKqHJOafCoikzVyPafacbQVLdPDGDQ4D6NthcglymgNqLxlTffsxB2wgy1WCptHIC5WSo7QnjnUu1IOpGzDEixVG/97bOK0KenBPIdfDbpxG2T8LNt8BBZdut8baoAbmxFpMrU/1WLTjNhgQClqYnV3eSBuRIIVSrLVzYIVPcSBpqdSEa6sgNLLzZExitGZLAlsg1DVvLPTBBR6VVFm6kDZV13+bXoPMYe8A0s5AjxS/hV1O387f+Q2PMH1MXQdkk3HXXB75/b7c7DcK3TJrQImmPGNb7WB1cxPkHzuGTn/4sbv7gJ/GJzz4AGUZIWuHM8R5njx/DyWNzNeBhUp7VjEPRBGQyA7F3OpWX3CEl9RI4syUzuan/TSOc+dvZBVBA5RiwIbRDK9YhnfAzu4prY2b4w6VmearkpOW8kLYazODgrWfOthnwRkkqRixUJRyVIZcYGBVeZcK+SKWzQXbyBBYxfGidA0DtxAJCzgkSR6SoWw+RXDmDJZmKHIPn2/DHTsJtbcF1c/iuq6aaVp1XdSKVPIQaj7ZJGpqAHmL+SIgi5bNN22orZPMcYrKqIB+Bk5ZkYljArq0KGrGPVK5ipmj+A99o04zfIC2kZMocbNsFadKcah6szQVEJrrxIXCpAHgjDxe++8k3Pn/9xT6HX/SLAACuuOLZ+x/4wAdesbPo5yL4SwKd3KdxxHp1Efu7D+C2227DzX94Kz72qbtx4YF9xGEA54SFzzi1vYPTx7fQd15v54wmWj1bKKqZiEjJRZ4ZMSfEONraXYCut5VTAhBqqUkxKhOh70HBg8fUTNWhJKTCNPAB8MGeylSNKc45ZNaZAkydqK1C0nK5GTypMxJ2uLmSh51zVeJLDfyjcAGz5TqwpSyXnbawtQw5a4iqyYVVc2BFcWYNGo0D4rjGOEZkuwRSTPZEt5Le9/DHTsJvHYebbcF3PZzzdQXW7uD1KShTVVCNNzKZg8r3qUGVc7bKMOWaUEzNRZJzEaTx1BZgszKol0GW5vFyaKdPlstZ8hg2Qk0zJpnQZLnOGztEmgJUihKWp23Dg4p1CL91jBffdfa5z7v4SDiDj4iLAACe/exn73/kIx95uWf0Kcevi+NgVcC9+NjHb8X7/vBTuPvePVzc20eMEXkcwXnE9iLg5PYCW7MOrlkvEaa8hGwHTk0hue6qkQXr9WD6egYZqJQcK/+fCZydIbOdrekcHKJdBDaIGlON0GbvLDVYPw6awZkvh84YffCatzaxE+0p6Wha9ZFoJVJj5LiKlfSpk4tlpQpluBKc7G0oqa7HqERp0XQZKYQlI8YBcRiwXmv+Qa7WX9NZOJ1J+Pk2/OIEaL4F38304jKBUVkB6ucvk4fAaNBlkj4hzQibHJ/pyVrWeZQwxZUX2XcJU2kPW8HMCTVD5xoZPH3f27CQLCA2ZaHkabDaTPlrLDweDDJMR/+a6MicqxnSvhPAy8/ecMPFR8r5e8RcBADwjGc84773ve99LxtWy19br/dfcv7c3XjfH92CD99yB3YvrjCMETkJ4hiR1mvMfcaJ7R0cW8zgHdcne7YStu6kc1H66WlTTpy2CeMgGMucgCNoNFwaZRBGJNapfiSCLwQd7w0yYk+cwlrxASAryR0bElymNRcE5L1JdVW0VKLYZIw2fHTWq2aQ83WgpVsC5QgWcVox+pR9OZveoPj11axjadE5GcAjaamcdTBIlkYtdgkMw4CxdVaKGFnKoLDeg/ptiJ+DQqeBs0Wxd6gtqJcyTTvzlvnfwA1xmB80ae6pIu2IlFlYo8TMlZiLQzF7CCX9PjUfsk7sC424ZA2YuYxsYCw5GYWpXGplYMibR/4Q2ARobcPla3c2Jzm0MgS/cwz5G57+9BeceySdvUfURQAAz33uc8+/5S1v+fZzd93+2t//wIdfcusn78Z6pU6/lDLioPJSkYyZB47Ne8xnnR7SStFR11+GIOU2el0wbXQNqskqSy7vSCKCDOXJFcBQvp9ngs3Zp+TgNg+PTfhjWoSyI1cwp71JCpjCKhMCg5KttYofwJJ1yqCTXHHN5YoFr+YcidMbNviqUyi6/7LuI1EHX3EP1n131vVgGkcMqyVW6xVijNVTUT42M8E5fVNnYYhC2OGElUNos4Z2GNbCPSZ7CNc/S0Y1LtHidKno68r4bARmtJk8XDmHeXP1x8S69rT2oIiKNgClLdTG1pRimYwbcXuH88ZENlKcDgedTANFGxROHoZ3snff8fSnP+/cI+3cOTwCX6973et2r7jqml//+Cfufe5yub4uJ+1T9U26RoojJI84uz3DtVeewpmTx9B33mL3smG6bNJt2v+UUrPeKSo6JfnEaP2lldZl4u0afh43h7MQeIiLaUpLbGY/YbcrPEMXYTClIFLeSMvVlaSRikSUt2CHikxgRCWWvDozC1AzmUKQq4e/nZDDSM5lUCqSzE8QzTKdkOKAcXWA5WqJYb1GHEZkE0gVDoR305Mwc48xbCN1x0BhBg5+Uw9AR+ExRQ3S8g6q3IdwlGeAhgMgh8Q6dhmWGUC93Iyk3P75DWVqM5/YvEhKhF6j/T8EIZXmAplkSmhWkpeqDNqPARDwzrjCNzz1y593xyPxzD0iLwIAuPnmm1fXPvH6t8aUnh5jelpKiWKMGMcBkAxPgitPLfCEK07jxLEtBOeMmSfVuSYGk9ShV7aVomy+4+zAjuXNX6zGlY9YiEVJB1W2o85RW4uyUisUmipusa0D1TcpmstBswdZim4+N7MmpxeAN85jSRMqE/KKbLOVI3HNCrRPtJlmR+S4stYg2nYhGX0pIo2D6TIOsFytEEflKXD1BhBccdgwA66D+DlSN8fa9RjJqUSbaHMYSIczBIoP6hD/v5ngN3lKm2W4KnQmxWGJ/TInpF72qQGA1J3o0UugfI5GgGrxd/ViqLdQg5+v1KPN0BE5dAEczTSoepm3Y5a//WnP/Iq7Hqnn7RF7EQDAJz95y/LEzpPe5Dt6WkzxxtV6raKb4DHzwDWnt3DlZaexvTVTTYBZcnOeEpbFhoWlIqDJ3jYNraxsHOPmgLHufplrbHqZ+qsLL5nsONX5I7OrtGMyBqC2IJq4XCoWxGREJe152XvdPjgHDm4KcGFW8VAI1Tegg2wr3X1AxWbZIch2+Uhc277cPkdkpDgASSuCcVhjf28P+wf7im0vVY6z76WZr1Q+PYebbYNCj0Qey5SxPySMWdepxVLMvFkNUJuIghbEIRuk4CmCvemnS6AHTYe+VnRSjEa5rk8nOXpDLrIDzA2GvCD10X6O9fdGOtjEoZdZRasw3ExROnwRFrCJ/Kr048uuv/6F9z6Sz9oj+iIAgLvvvnV86nVXv/VgRSeE8KzgvCcCekRcdXobV5w9gXnfayJSfWpkGxYaPDNnRIv3IuTqFy/CkDIsyskUc6WML+Ca5qkkZkmGmXtSTJWjQVZ92MDcPgZD0qCJzUXuLAoDnYaI0D7e3IhkNB1iU/4VWErrt5eiYc/T4ckJWTTYVZLai4uISvKoGYhpRIwj1qsD7F3cw/7+AdIQTeKsVQBrEuGEO/MdwvwYwmIHfjYHwBjWa+zuH2BviEho0PF/QotAG6Wz1KyEjacxpsu6lvZ1rjH9rkNgMz412w1B44do6wzaTNjeeLLzdAHI4TyCw40/JpfhhlvzcLAp0cCMX+KBvvu6G7/iwiP9nD3iLwIA+NSnPjVcfdWpt5FbgJlfihThZI2rTx/DFWdOou+CSvChajJ9f0zgS7FdeMp6QUxvyEY2az10HBNyssFXloaOJFNZmbUE14hxVBVZGYzlLDUFWIyPWJ8ehbNYsgKRITE2Ed8mSoJtOsyaqwdaS3pJaSp/c8PHi7F+HVIQ6Ckaij1CoiLW4mqFi7sXcXF3FylnA4UwnANIYnUvakKSh+tm6LaPo986iW6+jRACZFhjb/cCHtjdx96gMe9spiICbxzAthLgS67eJk8JNV4D2twhVGBJVUIWinLBlols6DuO9u/t07oxbdHmQT/8n63Bo9gMQ8Ghr2/j4gP+sYTt77vuxhv3Hw1n7FFxEQDAnXfeme+6479+x9XX3HZHHFYv9JK2nnD2OM6ePoG+6xRdbhVBlk1tfJkRxDFu2muBjT8jSYdrKWuM+ORFl2qQLJHsky3XACUpbiTu6hwyqqa/JA0l0zOkXFWPZbhFzqn4rSj+UtLLJerhR4p1HrE5AzFvQBqANOplkfSykKj/ngaeRuQ4YFivcP7CLg72D6BINwfnASaNO590PqpodL6D6+bot3bQbR1DmM/NLq2JTxfOn8e5CxexSqhrxso9KBwDaabtmGLDDu3WN+YF7fmcTmTLHWi4hlYJqLksHzIJHV7zbfIRCdhwER0JRpX6GalEvFxXTbTCoQroPhH6gafe+Jx/ePr06fHRcr4eNReBvt4ud9x+6/vOnrr8/R7pW68+s+POnjqOPoQK5dGtWLQnhopWshF5xpTVR2AhIFpWSn2SaPuvT9SUSVsA87RSeZpJ8RBww++zdgGCNCq0NIsoVSdF5FEPZh6juRMT8piQxqFKhDWCWx1/GtKRbEMYIWnUy6BEd9nXoJZabVMkDrYNiEj25yWpaSjFEZJGrJdLXLx4EQf7B3BMCEFdgNz02WI9EzsP9h4h9Oj6Gfx8C2G+pVLiEoCSE8b1EufuPYd7dw8Q4auuoMirYSzGjQTj5vs2XQHS8Aga5Y4NK+uSR9oNgkyR5fYzldrCNYEldti5GQASceU60qGLoF0TVv/BRu4AbcakNdvFlNO3Pf1Zb34t0UvTo+lkeTz6XvmPPnLz2/788150IwG/JFmej8bhVRdHwpOCEJMuX000Am+pMq72hYWVZ/V8WmNI0S4OGK24DB0FPvdaopI++R075EFViiklsM91tVUSm5CS/nMT/ThmRBrgnYeMA0DqZBTbECCVrUOavAyF2mtOQYjYKtDKf0tl0g2JVhQpjxiGNQ72l4jjiL5jMBkZWAQpT9HfzqLj2XtFjTtXQ1hMPQ/2DiH0WGxt4czONi7fuohzd9yDT6+igmKGiJMndrCztYX5vEPfBQTv4J2SnJ1h6h0Dnp0mEhFtyIClpi3LxniutCy5AK2IkTkr05DU4qxsBTY/SAGbHuWWX1r6u0ksmlqwpDbvmnLEjXoRIJH3R8HLv+zZX/neR+GZerRVBNPr1jtvu//rn/eVv7a93T2577sv8zz9YPSpjqlntKdHgYtmGyBSq/wos3drHbI91QWCcRwn/zpI48bqHWNVRZ5isWIcjKmXMA6DuSdHpLL+zBEpqkIwJxtsJZPAcsPLF8sqyBkw/kBpBcoKMI8DclwrNyBpxZHHAXlcIY2DDgaHNVYHS0AivNc8Q8mClLS9yQ3BWRHqmj3gg4cPHXyYwfU9nO/VzERc3aFIWtns7l7Enfc+gN39FcbMiFkQUzZgrHIe46gXRRwHpDHWoR5xkRpvluYbFUJbJTT9Rv0+Nb6SqiRo9D4iLZ1MQ3ilDTN9EJuwYPMyIioYtI2W5zchwzc/47lf9bFH63l61F4EAPD2D35w/y9853N/bbaaMTG9GABPu2ZtA0qQbTncyZ7qKeWNN1SW6TDnlOpfZ7Pixmg8/UL0MVhHccblpIKnFFUBKRmajhStTbBBpYjonyulvf0qbQFKby+TVRms6DKkiJTWNgdQsGocB+Q4QkZ1DOZxQLKLKEatBMb1UjcB3Ni686RdUN2AIsZDSY12rsa1cegU6Oq7JqewzGQ07GW1WuG+C3s4f3GN9SpibRDZYUxYR/3r5WqF/YMlDpZLrIcVcowmG57ERXx4at9uSoAjgSJoko/QzE3a8UCZ8suhJ/+mhoA2SwSZKpBNSfEU3S6CyKAfccdOvfzpz3zu+UfzWXpUXwQA8OY3/0H+T6678R07J7Z/I5F8neS8UweAOW/gpsvBjSkhxWKvLXMDsTI5T4YbkUmRR9B0opiqBkHsaSiNyQUCxELdzdn+f6qpw+MwKuJ8HBHXmk0IU/4V85CUpGIzS+Xa70ejKiekYUBer5CHQWPYRs0wTGnQzUAcMaxXyHFZE3hyVeRNKkpiJSNp+pDmQ2qkPJv3wcN1PXzo4UKYIsyLetJakXFY48LeAe7f3cd6JA2KjRnLgzUOliscHCyxe/EiHjj/AO68517c/8D9yMM4kZmJqi6fDv1C0xZs2n+lMgY2+AAil0g2Phyrvpm1WOjFJTxnEgfJ4d1DiS47x3B/OfZbP3fDDTcMj/Zz5PEYeP3Vn/7pEcC7Xv+aV/+nLPRjJPgaEeFpI1BgpAzfqMJSzEgEeJdr8KdYC9FeIIAgyxrMDsuDXIeAoe/gmeBSRuh7lRMbS0+kMABN806EFDMIgigKPkwQPdgpo+sIIgmcPHzw4IQa1CoiRjJKBhZN9WIQW5WmPNq6UAeEksaajKw0XoLATak8JptWwnCJpZ/izupTFaV2b+CiOdUwWuc9ZrMOJ48tcNnxBe68bw/3r/ex2psh+AAIYVgPOC9qeFot93Fx7wL6vsf+E69U3FjMkBMROc8x6zsNMOXJsYhG69G2C1TTiBvnJpMSjmVzK1RFTIWU/SAR5RuhBBaeUowQ5mXJQH43orzqaV/5Vb+Px8jL4TH0+pW3vevu//brXvyGg4S1ZHmpHOojy5siGv48Z0GyJ7Vy4ybpaovnKsy+MqXP9jE0FDXV7UO2PINs+/9kuYKqMpQqWEoxTgKYnCCw6iQLchyMDBTrxL/8vdp6jIPBVAZkYypkMwvFuNbhYcpT/1ye4mBbCXoE7xSL5h1CUEgrUzONlxIB18P3WhGw43r4UFdwWmmNw4CDgyXOXzzA/fsDEtiALmRwmTWW+3vY39WtxcH+Erv7S0RJ8MQ14IbbvrzqO2Rq3crvedIS5IKfn+bJdU4wpWVTE7M+Tf7ZHB91a9Cgyyr7sFUaQn6Yx/DdT3vhiz/5WDo7j6mLAABe+7Z3jW/4zXe+48Pv+M13CeQ5OefL2zcR7PBG6/uLMzFlWzc2whQxubI0uoRsnoUsNhNIGXnMqtOH2IwgVV6BSpH1743rtZX61jqkhJT1QhJkxHEwvb9SmrNJkrMlF+ekg7aYorUB9nHHAcOwQorrBtZqR9Y7EFvMWLAAWs/wngx3NvX7leRkKzp2Hj7M4PvSFrhm5W7JylCga4wDlqslzl/cx30Xlhgy1Dlp5OBxXGO9XGK1PMCwXkFyRoyCvYM1VtVabRDRgktL9itn5Gzf6zz9vVQDV8RWlO10MG9ahal50DNtrgAJGwPDOjsAtBLSv39Llvw9T3v+n/nx0094wvqxdm48HoMvi4/+jX9506v/bJb0dyD47loVWIsQ2CG6pPOCpDr9THlKDkPZc7d8ey05hXWOEHlE5DVSmCGEgPWwRhcCgu/gu1ThHOw0yCNKVqyWvSuZNeHISUSCgyP9s3mMcAxwTnBRtyHechdEzRTaYuSImEZVJtrKzDXmpLK21KEfb7AAqKLMZcL3mTQ7G1TFk588D+V7YJelhqJyFR750GHRz7Ezn2Gr38NqnTGsBxAdIHuHlCPWqyXWy6Ui49iBYsRqucLtt92N5XLA/nLAEy47hdMntrE97zHrbF7BNA0oiZqxnwrAihaAkSdNArFlUDQCpI2VJNWWgTZ0A3Sp1ONfErd69Q3P+drb8Rh9OTyGX7/69nft/+rv/vu3fOBrXvjRnNOXAXS2VgbG50tWyuuAUOo24XC0NRpST/1f8x2kHDXfEFnpSVmZCVri68fNKZpZKU0JwqTrw0LDrYAMW39m2zAUv0SKEcO4xjAssVztY7VaIqZRIwprXoACWZ1ji0zzmofAkzaeMV0CrYkn2XCSiOFdgO9mCL1CSRWE2sqBqQI7JqzcChf39nD/+YvYXQ5IwgaCSojjiGE9mNYB1TXJRmgdxoTd/RX21yPWw4j1qKSkg9UKq+UKy+Uay+UKy/Uaq5X+s/V6wDhGa5mSVVZTZaAMU9kUJ9SZ7uZ2QnApURHdyqAfeOrzXvwDZ658yu5j+ax4PMZfBAj+wY//0s/8wF//Lcrr/1mAv64MQSAEhzF5BZ7EqLJiAMmy+FwBkFSgiVQ+PhobamkZclYp8eCCHiTv4VjzC6cojRL4aodT1MKbSBAtIlxTgZI9wQVrg66O44Ax6oDaE+C8Q6gH38EHb5HzWv7XUr4MPO2pxxUaIs2lWLYnBEcO7ILlQjrzO5id2mYNCkU1FqAZo3zwmM0CtjoGpwHLtI8kGV3utdxPaaINWThqCQ1JMWF5sMbtd5zDufsvYHtrjmNbPeazgHkX0AeP3pHNNwKC08Rr7x1679B3Tv9MYATP8K41BZUeP1doLGRj0WPrW65RZAB+FgPddN2LXnQHEcmXwDn50nmJgP753/yr//kY0w+mlL8yZt1vr9cjVus11uu1GYlkiuhi3nAfMk2HWVrCjWG7deDENRgFBjghYjg7mM5ZLqAPddOgv3P9WGpeUgNQyhFs/1yf+ITOOdv56+4/dF53/46bRGna8NOUstq1ZpvSDiQTRDmP0M3Q9wt0sxlCP4MLQaPaGSDySlVmB3CAECMmwfpgH+fvuw+fuf0ufOjjn8KHPn0O960Anm0hdDP93pQmnd2UiBzK562XJ7FFuBW8CunX7YNDFwJmwaPrAvouYD7rsDXrsD3rcGzeYXsRsDULmPcefXAIjuEcbV7WSTdFm96kiXYEwgcd0d9/6vP/zK98MXMGHq8IvqCzAwjwU2/6J9/7ne/i4L/Nkfv7IeCEto0a6bUupqOYwU7AOYMrYUdqQGjhFeRs8WUglReY3p2IIAY7yUb7SeMwXRTUXDTW/zuncljHda6tPBADlDg76MwEH5xN/h1CUPmu5uylKn0rxhouqkHRSPZmNY+coeo/yWAOeiB9p5Zk7ycib062SnuQrZuJkrrgMQ8eMyfAsMKQ1FvB3sM5VS1yiWtzTqsP8lMyUcYkpsqCmMVyICcJsfPOVI8Bi3mP48fmOLU9x4mtHie3e2wvPLZmHebBoQ/GVqDDEmPZECqCsZ9zuqnr3C9c/7z/6F58ib08vgRf/90//Zf3AfinP/bfv/x3HOW/24fwUoicKH3iehhtR6/BX8IGGrVMAZK84V2vRSUZyUekIdbYgzflOpFWDbzakHVAR1Wgo+IaBWkoIo0MGqp9v3OsEePMpnZXVHsxRk3l8JQJmI28lI0aTNQ+JcVw3h7O9wghoLND5piqOUig+3lM+whMaj3z5zMjeIe+D5gHgpMR45gx+g4dMzg0INIy0yBvF9ZmkGkym3e0C6GwHB1P+UIihIMMxChYrzMO1hEH64hT6x7rrYxji4BF8ugCIziuiUpk0BL7SLtCeHfM8gPPftHXvhdfoi+HL+HXv/v377vnLz/7hW8c/PAOx/5GYrqaYWTcLPWg2Jh9A2V9WOpKNYXckOLtagoTNbcq2ax854bZx02EORutWy8CrUYYE8G7xIBR0/vKYXIOt4gu3oCHoN2Us4cLPULXows9Qug0eRmN266GuCi6nIhrJLuIthZjHLFarnBxbx8P7O5hd2+JdRSQD2CvlQazswAYrnLlghMrHgYx7UWyYWw2jYXtfNT4xGaCYr1EUhYMMSNmINra9zAZuTIoCn5O5IOU8V10/L4fetbz/sJtX8pnweNL/GWqxHfcdNNNL9q+949fgRn9FXZ4LhHxehiQKJrMGNW4JBYxVp4qXBWJgHPTGqr26FaWUsPt4+bIUiETi8WsMU1cTBF11kEglJETKaGZJgw3MmvVUnb7RYmXddVJcIdYgfYkp16JROx0MBh8/X2TtjPt2sHU+PmLUEeDVgvuvO96LGY9ZsHh4hgnU5BdhkKb60qNpCezYhvrweLkc/FoEDSrAlG5jolA5FVTYOvccWRc3B+q/kO5Ej1iBhZZMBNGcJQ9uQ8S4edv/Kr/+Me/lOYAj18Ef4rXTTfdlAH89D9+1cvfQCJ/iRbuR9nzThxGxFH1BoI4PV+a/6OuRX16ZyP+GB17A5xZ+/XSItjaj5ojVZ6Mzp6UE/4LTbpwIfxS5f+Xh182qlIWAhdjnphnv67JnKn+tEd3tnVw3us6b4PwWwJK2MI/DJTKbkr2KZWL05YiBI++C+hCgCN9sk+ensnclQALNh0RCMhi8I8WKpNysXbo589ScyHUjV1EXroGHlPC3sFoLRshZSBmQUoOWcJq3vOrQu/e8LQXvPS+o8bkxy+Cx1/2+h9+5J/fD+BfvPKVX//6q2jn1Yndy2KXnjEOkWPimmZcJMIl8TdlaZ7gGW4DgmG/pDnEmLYMbCaXMgjUgBWq+QklX6PkFhTJbPlvi+iv3BTDXA04ylzUqkMJQi7MwL7TwZ3NH2o7Q9MFVvHuTnUE+kuRatULALLcmCmCLIQOXejQ2VwjM9WZB1l4SJni11ld1rj5CnwBzOjPAOcNTJjOPywYpoQi2cejlJFIcLCKFeYEwscF/g1XH9v+32/8mpfuPf4uf/wi+FO/fvzH37oG8L/9g1e87Gc77/9c8P4fxhiuiqnwDyc0GSA6AyiAZDEeYZMBSMXzv8H0pzojmFaDgKfJCFTmBYeR3DV+3ICpknWWUNHqrs1TLP+OQ+jm8P0CLnQgGz5yrVSkgXzqHADOgdmDXNDZgAvKVjQ/v2TLXymbCaebjC44HToyIVGJmHcW1DrZvpNIHd6RbzIPbNOSRUGt0kqAZPp+FI6BCDUy8ISYBAcrugNY/6/dnN/y2Y98+K5v/tabHm8DHr8IPqeX/C8/+4t3A/hXN9100+v6Oz7yCi/uO3KS58Qxbaes9uISIVZKc+biT+Apf5OnC6FIZZm0369/zYXcw3W1WFaW1P47JTEITcafpTpVjn/WrEKxoSHYIfQ9Qj+H72dwwdeA0ha/RRb5NdmN/fR7kwEJoy/rssOCXIuk2VSN3k12XmcbkCpXLgImM0clQHf+tkGpiIECKq2XgPoysoWjJskgYdRmTGQpkj8gJL+4yDf8xE1/46Xx8bfx4xfBQz5DeM2rv+N1415+jgvpeyWmb0o5dWp8aUAlxbVmG4XC2atY8vZQ2yS/+PLdEdy2fqzSPnANBmGN9ObDqUBTHgeYVLTjPXzXI4Q5Qt/D9TMVL5nFt6YlmeKvDU0hDppO7EoIrP2ZJm6estmay9fjirnJwZksOZsewLekX9btDLVRE5gCS8q2gAobgrOqhC0UlTKBbVhIJEkEb8oiP4Ig7/+xm165+/i79vGL4Av2+p/+0b/ah6bZvvNH/tp/+ZRBwqtE5CWS4jNSSl6qWzFvqPs2nG3lnNrhp8oGcLUyKBcEbJ1ZB47UjihRCUxcLoPinTclo3cBPnTo+xnCbAbfdfAh1OFbEenAad9dLwIy+Ei9ELhmPUxxJAXcKTWoVSPSPDwXvQOAAo21LUtLEnbUpBmIKLmpbDwM1ZbNigyZMhKtzYqU8HE4enfo6DU/+Zq/ccvj79DHL4KH/fWqn3z9JwC88v985XedXY3D07og3yPI3yIp+8owQBPiQaRPfEY9+N5Zb22tgCt/jqkZDLZhYLZvr3mAE8JLgAYyoo7Aru8xm80RZnP40MGFDmzeBykH0sp9Rx7CZTbAdmB50uozN7LlwoAjA4cavMQ5OFYPQHAO3jkLKKU6RyD7OGx6gbL4ECvzpbQE2ezIBedmA1ciSonpV1zkfzZk95Ff/pm/fdfj78bP70WPfwse2tdPfd+3XzlE+g44+YvIcr1kOSvGMnNl3MWoCkJnPX+VENtcgEtPTVVv3IR08sQKRyNkIu3NQxcwn/WYLWaYzebouh6uC+j6OVzXa0wa+42QDyFX+3wUFFl7CVR8FyY5MMynEEfEIWG9PMDF3Qs4d/c9uO322/HxT9+JT951HvetCDQ/hn5xDKHvbBviLH8iVUQ786RNKI7Q0QazOef7WOjjxO7NzuPn3/zL/+z2x99tj18Ej/jXa179HVuLiCd68l/Jjl9OhK8mAeuubVrRtVoDrvw+GAqMqlR4KsipjOmtKpiCPb1z6LqAruuwWMzQ9z26Lih4tOvguhlc0IuA2APkatpz5fgV/gCVeHfeyC2scd8V8pIR04g0KG9g78IFnLvnXtx2+x34xKfvxKfu2cX9awL6LbjZlg0pXcWlFe5gDYq16y2nhJxyHlN6d8rxtWC8gw8OPvvWt77u8d7/8Yvg0ft9ft3f/GtPpsDfAOA/Y8K1RHQNRDpHkzoRJiCahHwTK5CJmnBOXe8ZidHWj+ZG7Dxmsx59HxB6j84HNfyEDtzNwKEH+84EQrxJ8rVKQJqDShYeyk1lAuQJF5+yEpOGEavlAfZ3d3Hunnvx2dvvxKc+cyc+c24fF9aEsVvoReC8OTKpegaKeStniSL59pzxSQF+I8f1G//tL//kRx9/+zx+ETzmXv/mpm/uZnLlFbHnqx3xn/XE3+gcP6fRFqLAt9ukXq7WYZ4CWTBFeLFjdEFR5H3fIXSFScAaUBI6cJjrRfD/tXf1vE1DUfTce5+dkgTI0EaCX1DoAgNiYWBh5v8wdYaBqR0RYkLtyIIQEhUSE1OhCNEJGuI2Tps2jh3H8cdjeM+py8bAgPCR/AOsd3V0dc+954hju4rzPIOSGJgsEXCFcKxeX3UULsNGC2uYks1TJPEU4TjAyWCIXt/D9/4AvZMYQSpI3SZUo2llSfOfZRJEAb2LPH+VsX4tReYNe+Hhzs7zWV0tNRH8V3j/9NE17boPSNN9MK8xURdAF0ATFX/Acsh2rhhcnC8oJXCV9SZ0SpMTk1TEqmHmA2IOf3S5+Vge/izmACYKbNEhgE3ykr5YLIXNYcgz47+YJXMk0wiTcYChb4jghzeEN5phnCvkbgvsNKbMcsyMgQbtk6Y3hei3L5899uoqqImgRgXvNjbaS81guUix4jrOKoC7RHwHRLdB5OhyNlBu15WR5EImpsz6FChl2nwW4wPAUm4H2rNflgoRnKsDmstbAlocKy3Ol2HdvqxRS1Hk1lg1Q5okiKMIk7MxfN/HQf8IB0ej9PB0tjfR7odcNT8Wir8uaT7pdK76m5vrEepd/5oIavwZvmxtufO0fxOQWyC6QcRrWtMKAW0WNp+SluM4roiQiJHymHhxI6DJDupYDBFYmzOqdByaq3MDNtr9b5Fg1sNxVuR5rPMsytMsTGdJGE+jQRAE3wYD/7P383ivt7//aX17e16/Xk0ENf4idl88abFy2o3GlVah87ZucMsR1RFxuuzIdWFZBktXRDrQuEIiHSJ1iVguG4lQ2lRRBoglNJIFh8SIQXRGkAlBj0A00pqPmOHrQntgfVokecykowR5ODo9jFbvPZzUr/Jv4hdmtoux10aCHwAAAABJRU5ErkJggg==','png','2011-03-08 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','png','2010-03-08 00:00:00','A+',NULL,'Manurewa High School','<NAME>\n','<EMAIL>','027 584 5846',NULL,'epsom'),(8,3,'Wang','Ai','<EMAIL>','2021-03-08 00:00:00','$2a$08$yQxMd4BkSPTjWEyUG2dYl.gYm8MxxrlkHqnbMS1yI1Eq2WEJp0wTG',NULL,'student',55,'<KEY>//<KEY>//<KEY>','png','2012-03-08 00:00:00','O',NULL,'James Cook High School','<NAME>\n','<EMAIL>','021 5145 564',NULL,'epsom');
/*!40000 ALTER TABLE `user` ENABLE KEYS */;
UNLOCK TABLES;
SET @@SESSION.SQL_LOG_BIN = @MYSQLDUMP_TEMP_LOG_BIN;
/*!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 2021-03-09 3:13:38
|
<reponame>fadlilahafalevi/fineract
-- Author : <NAME>
-- Table m_loan_collectibility
DROP TABLE IF EXISTS `m_loan_collectibility`;
CREATE TABLE `m_loan_collectibility` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`loan_id` bigint,
`collectibility_account` int(11) DEFAULT NULL,
`collectibility_cif` int(11) DEFAULT NULL,
`manual_collectibility` int(11) DEFAULT NULL,
`number_overdues_day_account` int(11) DEFAULT NULL,
`number_overdues_day_cif` int(11) DEFAULT NULL,
`submitted_on` datetime DEFAULT NULL,
`submitted_by` BIGINT,
`updated_on` datetime DEFAULT NULL,
`updated_by` BIGINT,
`delete_on` datetime DEFAULT NULL,
`delete_by` BIGINT,
`is_deleted` boolean default false,
`loss_date` date,
PRIMARY KEY(`id`)
);
CREATE INDEX `m_loan_collectibility_loan_id_idx` ON `m_loan_collectibility` (`loan_id`); |
CREATE TABLE SGIPD_DEV.dbo.docentes_estudios_all_from_prod (
codigo_de_solicitante bigint NULL,
grado_academico varchar(12) COLLATE Modern_Spanish_CI_AS NULL,
especialidad varchar(75) COLLATE Modern_Spanish_CI_AS NULL,
institucion_educativa varchar(79) COLLATE Modern_Spanish_CI_AS NULL,
annio_de_graduacion varchar(100) COLLATE Modern_Spanish_CI_AS NULL,
indice_titulo bigint NULL
);
|
DROP TABLE IF EXISTS `tzbwbz`;
CREATE TABLE `tzbwbz` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`zbdate` date DEFAULT NULL,
`dept_id` varchar(50) DEFAULT NULL,
`create_time` datetime DEFAULT CURRENT_TIMESTAMP,
`create_by` varchar(50) DEFAULT NULL,
`isdel` int(11) DEFAULT '0',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=20 DEFAULT CHARSET=utf8;
DROP TABLE IF EXISTS `zh_mrtb`;
CREATE TABLE `zh_mrtb` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`fbrq` date DEFAULT NULL COMMENT '发布日期',
`tbrq` date DEFAULT NULL COMMENT '通报日期',
`qs` varchar(50) DEFAULT NULL COMMENT '期数',
`create_time` datetime DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',
`create_by` varchar(255) DEFAULT NULL COMMENT '创建人',
`path` varchar(255) DEFAULT NULL COMMENT '文件路径',
`chenbanren` varchar(50) DEFAULT NULL COMMENT '承办人',
`shenheren` varchar(50) DEFAULT NULL COMMENT '审核人',
`comment1` text,
`comment2` text,
`comment3` text,
`comment4` text,
`isdel` int(11) DEFAULT '0',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=15 DEFAULT CHARSET=utf8; |
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