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<gh_stars>0 UPDATE ( ( CARGA LEFT JOIN F1 ON CARGA.RUT = F1.RUT ) LEFT JOIN F2 ON CARGA.RUT = F2.RUT ) LEFT JOIN F3 ON CARGA.RUT = F3.RUT SET CARGA.T1 = F1.TIPO, CARGA.F1 = F1.FONO, CARGA.T2 = F2.TIPO, CARGA.F2 = F2.FONO, CARGA.T3 = F3.TIPO, CARGA.F3 = F3.FONO;
<filename>test/sql/table.sql \set ECHO none \set QUIET 1 BEGIN; \t SET IntervalStyle = 'postgres'; \i sql/explanation.sql -- Need to mock md5() so that it emits known values, so the tests will pass. CREATE SCHEMA mock; CREATE TEMPORARY SEQUENCE md5seq; CREATE TEMPORARY TABLE md5s ( md5 TEXT, id INTEGER DEFAULT NEXTVAL('md5seq') ); INSERT INTO md5s VALUES ('029dde3a3c872f0c960f03d2ecfaf5ee'), ('3e4c4968cee7653037613c234a953be1'), ('dd3d1b1fb6c70be827075e01b306250c'), ('037a8fe70739ed1be6a3006d0ab80c82'), ('2c4e922dc19ce9f01a3bf08fbd76b041'), ('709b2febd8e560dd8830f4c7277c3758'), ('9dd89be09ea07a1000a21cbfc09121c7'), ('8dc3d35ab978f6c6e46f7927e7b86d21'), ('3d7c72f13ae7571da70f434b5bc9e0af'); CREATE FUNCTION mock.md5(TEXT) RETURNS TEXT LANGUAGE plpgsql AS $$ DECLARE rec md5s; BEGIN SELECT * INTO rec FROM md5s WHERE id = (SELECT MIN(id) FROM md5s); DELETE FROM md5s WHERE id = rec.id; RETURN rec.md5; END; $$; SET client_min_messages = warning; SET log_min_messages = warning; SET search_path = mock,public,pg_catalog; CREATE TEMPORARY TABLE plans ( node_id TEXT PRIMARY KEY, parent_id TEXT REFERENCES plans(node_id), node_type TEXT NOT NULL, total_runtime INTERVAL, strategy TEXT, operation TEXT, startup_cost FLOAT, total_cost FLOAT, plan_rows FLOAT, plan_width INTEGER, actual_startup_time INTERVAL, actual_total_time INTERVAL, actual_rows FLOAT, actual_loops FLOAT, parent_relationship TEXT, sort_key TEXT[], sort_method TEXT[], sort_space_used BIGINT, sort_space_type TEXT, join_type TEXT, join_filter TEXT, hash_cond TEXT, relation_name TEXT, alias TEXT, scan_direction TEXT, index_name TEXT, index_cond TEXT, recheck_cond TEXT, tid_cond TEXT, merge_cond TEXT, subplan_name TEXT, function_name TEXT, function_call TEXT, filter TEXT, one_time_filter TEXT, command TEXT, shared_hit_blocks BIGINT, shared_read_blocks BIGINT, shared_written_blocks BIGINT, local_hit_blocks BIGINT, local_read_blocks BIGINT, local_written_blocks BIGINT, temp_read_blocks BIGINT, temp_written_blocks BIGINT, output TEXT[], hash_buckets BIGINT, hash_batches BIGINT, original_hash_batches BIGINT, peak_memory_usage BIGINT, schema TEXT, cte_name TEXT, triggers trigger_plan[] ); RESET client_min_messages; RESET log_min_messages; INSERT INTO plans SELECT * FROM parse_node($$ <Plan> <Node-Type>Aggregate</Node-Type> <Strategy>Sorted</Strategy> <Startup-Cost>258.13</Startup-Cost> <Total-Cost>262.31</Total-Cost> <Plan-Rows>4</Plan-Rows> <Plan-Width>324</Plan-Width> <Actual-Startup-Time>0.121</Actual-Startup-Time> <Actual-Total-Time>0.121</Actual-Total-Time> <Actual-Rows>0</Actual-Rows> <Actual-Loops>1</Actual-Loops> <Plans> <Plan> <Node-Type>Sort</Node-Type> <Parent-Relationship>Outer</Parent-Relationship> <Startup-Cost>258.13</Startup-Cost> <Total-Cost>258.14</Total-Cost> <Plan-Rows>4</Plan-Rows> <Plan-Width>324</Plan-Width> <Actual-Startup-Time>0.117</Actual-Startup-Time> <Actual-Total-Time>0.117</Actual-Total-Time> <Actual-Rows>0</Actual-Rows> <Actual-Loops>1</Actual-Loops> <Sort-Key> <Item>d.name</Item> <Item>d.version</Item> <Item>d.abstract</Item> <Item>d.description</Item> <Item>d.relstatus</Item> <Item>d.owner</Item> <Item>d.sha1</Item> <Item>d.meta</Item> </Sort-Key> <Sort-Method>quicksort</Sort-Method> <Sort-Space-Used>25</Sort-Space-Used> <Sort-Space-Type>Memory</Sort-Space-Type> <Plans> <Plan> <Node-Type>Nested Loop</Node-Type> <Parent-Relationship>Outer</Parent-Relationship> <Join-Type>Left</Join-Type> <Startup-Cost>16.75</Startup-Cost> <Total-Cost>258.09</Total-Cost> <Plan-Rows>4</Plan-Rows> <Plan-Width>324</Plan-Width> <Actual-Startup-Time>0.009</Actual-Startup-Time> <Actual-Total-Time>0.009</Actual-Total-Time> <Actual-Rows>0</Actual-Rows> <Actual-Loops>1</Actual-Loops> <Join-Filter>(semver_cmp(d.version, dt.version) = 0)</Join-Filter> <Plans> <Plan> <Node-Type>Hash Join</Node-Type> <Parent-Relationship>Outer</Parent-Relationship> <Join-Type>Inner</Join-Type> <Startup-Cost>16.75</Startup-Cost> <Total-Cost>253.06</Total-Cost> <Plan-Rows>4</Plan-Rows> <Plan-Width>292</Plan-Width> <Actual-Startup-Time>0.009</Actual-Startup-Time> <Actual-Total-Time>0.009</Actual-Total-Time> <Actual-Rows>0</Actual-Rows> <Actual-Loops>1</Actual-Loops> <Hash-Cond>(de.distribution = d.name)</Hash-Cond> <Join-Filter>(semver_cmp(d.version, de.dist_version) = 0)</Join-Filter>↵ <Plans> <Plan> <Node-Type>Seq Scan</Node-Type> <Parent-Relationship>Outer</Parent-Relationship> <Relation-Name>distribution_extensions</Relation-Name> <Alias>de</Alias> <Startup-Cost>0.00</Startup-Cost> <Total-Cost>15.10</Total-Cost> <Plan-Rows>510</Plan-Rows> <Plan-Width>128</Plan-Width> <Actual-Startup-Time>0.008</Actual-Startup-Time> <Actual-Total-Time>0.008</Actual-Total-Time> <Actual-Rows>0</Actual-Rows> <Actual-Loops>1</Actual-Loops> </Plan> <Plan> <Node-Type>Hash</Node-Type> <Parent-Relationship>Inner</Parent-Relationship> <Startup-Cost>13.00</Startup-Cost> <Total-Cost>13.00</Total-Cost> <Plan-Rows>300</Plan-Rows> <Plan-Width>228</Plan-Width> <Actual-Startup-Time>0.000</Actual-Startup-Time> <Actual-Total-Time>0.000</Actual-Total-Time> <Actual-Rows>0</Actual-Rows> <Actual-Loops>0</Actual-Loops> <Plans> <Plan> <Node-Type>Seq Scan</Node-Type> <Parent-Relationship>Outer</Parent-Relationship> <Relation-Name>distributions</Relation-Name> <Alias>d</Alias> <Startup-Cost>0.00</Startup-Cost> <Total-Cost>13.00</Total-Cost> <Plan-Rows>300</Plan-Rows> <Plan-Width>228</Plan-Width> <Actual-Startup-Time>0.000</Actual-Startup-Time> <Actual-Total-Time>0.000</Actual-Total-Time> <Actual-Rows>0</Actual-Rows> <Actual-Loops>0</Actual-Loops> </Plan> </Plans> </Plan> </Plans> </Plan> <Plan> <Node-Type>Index Scan</Node-Type> <Parent-Relationship>Inner</Parent-Relationship> <Scan-Direction>NoMovement</Scan-Direction> <Index-Name>distribution_tags_pkey</Index-Name> <Relation-Name>distribution_tags</Relation-Name> <Alias>dt</Alias> <Startup-Cost>0.00</Startup-Cost> <Total-Cost>0.46</Total-Cost> <Plan-Rows>3</Plan-Rows> <Plan-Width>96</Plan-Width> <Actual-Startup-Time>0.000</Actual-Startup-Time> <Actual-Total-Time>0.000</Actual-Total-Time> <Actual-Rows>0</Actual-Rows> <Actual-Loops>0</Actual-Loops> <Index-Cond>(d.name = dt.distribution)</Index-Cond> </Plan> </Plans> </Plan> </Plans> </Plan> <Plan> <Node-Type>Function Scan</Node-Type> <Parent-Relationship>SubPlan</Parent-Relationship> <Subplan-Name>SubPlan 1</Subplan-Name> <Function-Name>unnest</Function-Name> <Alias>g</Alias> <Startup-Cost>0.00</Startup-Cost> <Total-Cost>1.00</Total-Cost> <Plan-Rows>100</Plan-Rows> <Plan-Width>32</Plan-Width> <Actual-Startup-Time>0.000</Actual-Startup-Time> <Actual-Total-Time>0.000</Actual-Total-Time> <Actual-Rows>0</Actual-Rows> <Actual-Loops>0</Actual-Loops> <Filter>(x IS NOT NULL)</Filter> </Plan> </Plans> </Plan> $$, NULL, '14.35 ms', ARRAY[ROW('Harry', 'Melissa', 'users', '00:00:00.000234', 14)::trigger_plan]); SELECT * FROM plans; ROLLBACK;
<gh_stars>0 -- SPDX-License-Identifier: Apache-2.0 -- Licensed to the Ed-Fi Alliance under one or more agreements. -- The Ed-Fi Alliance licenses this file to you under the Apache License, Version 2.0. -- See the LICENSE and NOTICES files in the project root for more information. DECLARE @LocalEducationAgency int; SET @LocalEducationAgency = '255901'; --LEAId, LEAName, Enrollment Count select EO.educationorganizationid, EO.Nameofinstitution, eocat.educationorganizationid,count(csa.studentusi) as TotalEnrolled from edfi.EducationOrganization EO inner join edfi.EducationOrganizationCategory EOcat on EO.educationorganizationid = eocat.educationorganizationid inner join edfi.School sch on eo.educationorganizationid = sch.localeducationagencyid inner join edfi.CurrentStudentSchoolAssociation CSA on csa.schoolid = sch.schoolid where EO.educationorganizationid = @LocalEducationAgency and eocat.educationorganizationcategorytypeid = 2 -- LEA TypeId group by EO.educationorganizationid, EO.Nameofinstitution, eocat.educationorganizationid --School Id, School Name, enrollment count select EO.educationorganizationid, eo.nameofinstitution, count(csa.studentusi) from edfi.CurrentStudentSchoolAssociation CSA inner join edfi.EducationOrganization EO on CSA.schoolid = EO.educationorganizationid inner join edfi.School SCH on SCH.localeducationagencyid = @LocalEducationAgency where csa.schoolid = SCH.schoolid group by EO.educationorganizationid, eo.nameofinstitution --School Id, School Name, hispanic %, male %, female %, race % select result.schoolid, result.nameofinstitution, sum(result.total) as TotalEnrolled, cast((cast(sum(result.male) as decimal (7,3)) / cast(sum(result.total) as decimal (7,3)) * 100) as decimal (5,2)) as PercentMale, cast((cast(sum(result.female) as decimal(7,3)) / cast(sum(result.total) as decimal (7,3)) * 100) as decimal (5,2)) as PercentFemale, cast((cast(sum(result.hispanic) as decimal (7,3)) / cast(sum(result.total) as decimal (7,3)) * 100) as decimal (5,2)) as PercentHispanic, cast((cast(sum(result.AmericanIndianAlaskanNative) as decimal (7,3)) / cast(sum(result.total) as decimal (7,3)) * 100) as decimal (5,2)) as PercentAmericanIndianAlaskanNative, cast((cast(sum(result.Asian) as decimal (7,3)) / cast(sum(result.total) as decimal (7,3)) * 100) as decimal (5,2)) as PercentAsian, cast((cast(sum(result.BlackAfricanAmerican) as decimal (7,3)) / cast(sum(result.total) as decimal (7,3)) * 100) as decimal (5,2)) as PercentBlackAfricanAmerican, cast((cast(sum(result.NativeHawaiianPacificIslander) as decimal (7,3)) / cast(sum(result.total) as decimal (7,3)) * 100) as decimal (5,2)) as PercentNativeHawaiianPacificIslander, cast((cast(sum(result.white) as decimal (7,3)) / cast(sum(result.total) as decimal (7,3)) * 100) as decimal (5,2)) as PercentWhite from (select q.schoolid, q.nameofinstitution, count(q.studentusi) as total, sum(case when q.gender = 'Male' then 1 else 0 end) as 'Male', sum(case when q.gender = 'Female' then 1 else 0 end) as 'Female', sum(case when q.hispanic = 1 then 1 else 0 end) as 'Hispanic', 0 as AmericanIndianAlaskanNative, 0 as Asian, 0 as BlackAfricanAmerican, 0 as NativeHawaiianPacificIslander, 0 as white from (select CSA.studentusi, csa.schoolid, EO.Nameofinstitution, eocat.educationorganizationid, stu.hispaniclatinoethnicity as hispanic, stusex.description as gender from edfi.CurrentStudentSchoolAssociation CSA inner join edfi.EducationOrganization EO on CSA.schoolid = EO.educationorganizationid inner join edfi.EducationOrganizationCategory EOcat on EO.educationorganizationid = eocat.educationorganizationid inner join edfi.School SCH on SCH.localeducationagencyid = @LocalEducationAgency inner join edfi.Student STU on CSA.studentusi = stu.studentusi inner join edfi.Sextype STUSex on stu.sextypeid = stusex.sextypeid ) as q group by q.schoolid, q.nameofinstitution union select q.schoolid, q.nameofinstitution,0 as total, 0 as male, 0 as female, 0 as hispanic, sum(case when q.race = 'American Indian - Alaskan Native' then 1 else 0 end) as 'AmericanIndianAlaskanNative', sum(case when q.race = 'Asian' then 1 else 0 end) as 'Asian', sum(case when q.race = 'Black - African American' then 1 else 0 end) as 'BlackAfricanAmerican', sum(case when q.race = 'Native Hawaiian - Pacific Islander' then 1 else 0 end) as 'NativeHawaiianPacificIslander', sum(case when q.race = 'White' then 1 else 0 end) as 'White' from (select CSA.studentusi, csa.schoolid, EO.Nameofinstitution, eocat.educationorganizationid, racetype.description as race from edfi.CurrentStudentSchoolAssociation CSA inner join edfi.EducationOrganization EO on CSA.schoolid = EO.educationorganizationid inner join edfi.EducationOrganizationCategory EOcat on EO.educationorganizationid = eocat.educationorganizationid inner join edfi.School SCH on SCH.localeducationagencyid = @LocalEducationAgency inner join edfi.StudentRace STURace on csa.studentusi = sturace.studentusi inner join edfi.RaceType RaceType on sturace.racetypeid = racetype.racetypeid ) as Q group by q.schoolid, q.nameofinstitution) as result group by result.schoolid, result.nameofinstitution --School Id, School Name, Section Keys, Enrollment count select distinct SSA.schoolid, eo.nameofinstitution, ssa.classperiodname, ssa.classroomidentificationcode, ssa.localcoursecode, term.description, ssa.schoolyear, count(csa.studentusi) as TotalEnrolled from edfi.StudentSectionAssociation SSA inner join edfi.CurrentStudentSchoolAssociation CSA on csa.studentusi = ssa.studentusi and csa.schoolid = ssa.schoolid inner join edfi.EducationOrganization EO on SSA.schoolid = EO.educationorganizationid inner join edfi.School SCH on SCH.localeducationagencyid = @LocalEducationAgency inner join edfi.TermType Term on ssa.termtypeid = term.termtypeid where (ssa.enddate is null) or (ssa.enddate >= (SELECT MAX(Date) AS Expr1 FROM edfi.CalendarDate AS CD WHERE (SSA.SchoolId = eo.EducationOrganizationId) AND (CalendarEventTypeId = 1))) group by SSA.schoolid, eo.nameofinstitution, ssa.classperiodname, ssa.classroomidentificationcode, ssa.localcoursecode, term.description, ssa.schoolyear
-- phpMyAdmin SQL Dump -- version 4.8.5 -- https://www.phpmyadmin.net/ -- -- Host: 127.0.0.1 -- Waktu pembuatan: 23 Des 2020 pada 19.10 -- Versi server: 10.1.38-MariaDB -- Versi PHP: 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 */; /*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */; /*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */; /*!40101 SET NAMES utf8mb4 */; -- -- Database: `hmm` -- -- -------------------------------------------------------- -- -- Struktur dari tabel `produk` -- CREATE TABLE `produk` ( `kode` int(10) NOT NULL, `nama` varchar(30) NOT NULL, `jenis` varchar(10) NOT NULL, `harga` int(10) NOT NULL, `keterangan` text NOT NULL, `stok` int(3) NOT NULL, `gambar` varchar(40) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data untuk tabel `produk` -- INSERT INTO `produk` (`kode`, `nama`, `jenis`, `harga`, `keterangan`, `stok`, `gambar`) VALUES (1, 'Bakso Alus', 'Makanan', 6000, 'Bakso daging sapi yang memiliki tekstur permukaan yang halus dan tekstur yang lembut terdapat berbagai ukuran yang dapat membuat orang ketagihan', 23, 'gambar_produk/alus.jpg'), (2, 'Bakso Telur', 'Makanan', 8000, 'Bakso daging sapi yang gurih dan nikmat berkolaborasi dengan telur didalamnya yang membuat rasanya semakin luar biasa enak\r\n', 30, 'gambar_produk/telur.jpeg'), (3, 'B<NAME>s', 'Makanan', 5000, 'Bakso daging sapi yang nikmat dipadukan dengan potongan cabai yang membuat merem melek karena rasa hotnya yang ga nahan\r\n', 29, 'gambar_produk/juudes.jpeg'), (4, 'Bakso Masker', 'Makanan', 10000, 'Bakso daging sapi yang enak diselimuti dengan masker telur yang tebal membuat BAKSO BER-MASKER ini jadi endul', 29, 'gambar_produk/masker.jpeg'), (5, 'Bakso Positif', 'Makanan', 10000, 'Bakso daging sapi yang besar dan didalamnya masih ada bakso kecil yang sama enaknya. Jadi Bakso Positif Hamil nih pasti bikin kenyang banget.', 29, 'gambar_produk/positif.jpeg'), (6, 'Bakso Swab', 'Makanan', 10000, 'Bakso daging sapi yang didalamnya terkandung keju mozarela yang lumer dan creamy banget. BAKSO SWAB yang nikmat cocok banget dicolab bareng sambel yang nampol', 28, 'gambar_produk/swab.jpeg'), (7, 'Bakso Corona', 'Makanan', 10000, 'Bakso daging sapi yang dilapisi kriuknya mie, digoreng dan menghasilkan bakso corona yang kriuk diluar dan kenyal didalam\r\n', 30, 'gambar_produk/corona.jpeg'), (8, 'Es Teh', 'Minuman', 3000, 'Teh dengan aroma khas diolah menjadi minuman yang menyegarkan apa lagi dengan es yang dapat membuat siapapun haus melihatnya.', 30, 'gambar_produk/esteh.jpg'), (9, '<NAME>', 'minuman', 3000, 'Es jeruk yang memiliki rasa manis dan masam yang berasal dari rasa buah jeruk yang segar dipadukan dengan es yang dapat membuat pelepas haus.', 29, 'gambar_produk/esjeruk.png'), (10, 'Lemon Tea', 'minuman', 5000, 'Lemon Tea adalah perpaduan rasa dari teh yang dicampur dengan buah lemon sehingga memiliki cita rasa yang khas, minuman masa kini yang sedang mengikuti tren', 30, 'gambar_produk/lemontea.jpg'), (11, 'Milo Ice', 'minuman', 5000, 'Milo Ice adalah minuman coklat segar yang rasanya yang enak. Coklat juga dapat mengembalikan mood yang buruk loh. siapa nih yang suka moody minum aja Milo Ice.', 30, 'gambar_produk/esmilo.jpg'); -- -- Indexes for dumped tables -- -- -- Indeks untuk tabel `produk` -- ALTER TABLE `produk` ADD PRIMARY KEY (`kode`); -- -- AUTO_INCREMENT untuk tabel yang dibuang -- -- -- AUTO_INCREMENT untuk tabel `produk` -- ALTER TABLE `produk` MODIFY `kode` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=12; 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>guerlab/flowable-engine<filename>distro/sql/upgrade/form/flowable.db2.upgradestep.6120.to.6200.form.sql<gh_stars>0 ALTER TABLE ACT_FO_FORM_INSTANCE ADD SCOPE_ID_ varchar(191); ALTER TABLE ACT_FO_FORM_INSTANCE ADD SCOPE_TYPE_ varchar(191); ALTER TABLE ACT_FO_FORM_INSTANCE ADD SCOPE_DEFINITION_ID_ varchar(191); CALL SYSPROC.ADMIN_CMD ('REORG TABLE ACT_FO_FORM_INSTANCE'); INSERT INTO ACT_DMN_DATABASECHANGELOG (ID, AUTHOR, FILENAME, DATEEXECUTED, ORDEREXECUTED, MD5SUM, DESCRIPTION, COMMENTS, EXECTYPE, CONTEXTS, LABELS, LIQUIBASE, DEPLOYMENT_ID) VALUES ('2', 'flowable', 'changelog-xml/form/6200.xml', CURRENT TIMESTAMP, 3, '7:4850f9311e7503d7ea30a372e79b4ea2', 'addColumn tableName=ACT_FO_FORM_INSTANCE', '', 'EXECUTED', NULL, NULL, '3.5.3', '7878886509');
use agw; INSERT INTO agw_sys(id, created_time, modified_time, version, name, `desc`) VALUES (1, now(), now(), 1, 'tradecenter', '交易中心'); INSERT INTO agw_api(id, created_time, modified_time, version, code, name, method, alias, sys_id, timeout) VALUES (1, now(), now(), 1, '1TRW556GGH#TEST', 'me.cxis.agw.sample.tracecenter.service.OrderService', 'queryOrders', NULL, 1, 1000); INSERT INTO agw_api_param(id, created_time, modified_time, version, api_id, name, type, `sequence`) VALUES (1, now(), now(), 1, 1, 'query', 'me.cxis.agw.sample.tracecenter.query.OrderQuery', 1); INSERT INTO agw_out(id, created_time, modified_time, version, name, `desc`, code, ip_control) VALUES (1, now(), now(), 1, 'google', '谷歌', '678901345678905432HHHYGHD#google', 1); INSERT INTO agw_out_api(id, created_time, modified_time, version, out_id, api_id) VALUES (1, now(), now(), 1, 1, 1); INSERT INTO agw_out_ip(id, created_time, modified_time, version, out_id, ip) VALUES (1, now(), now(), 1, 1, '0:0:0:0:0:0:0:1');
<reponame>maallen/mojito ALTER TABLE QRTZ_BLOB_TRIGGERS MODIFY BLOB_DATA longblob; ALTER TABLE QRTZ_TRIGGERS MODIFY JOB_DATA longblob; ALTER TABLE QRTZ_JOB_DETAILS MODIFY JOB_DATA longblob; ALTER TABLE QRTZ_CALENDARS MODIFY CALENDAR longblob;
CREATE TABLE barcode_scans ( id SERIAL PRIMARY KEY, time TIMESTAMPTZ NOT NULL, name VARCHAR NOT NULL, size VARCHAR NOT NULL DEFAULT 'N/A', item VARCHAR NOT NULL, barcode VARCHAR NOT NULL, link_to_item TEXT [] NOT NULL, airtable_record_id VARCHAR NOT NULL DEFAULT '' )
REM REM Standard disclaimer - anything in here can be used at your own risk. REM REM It is very likely you'll need to edit the script for correct usernames/passwords etc. REM REM No warranty or liability etc etc etc. See the license file in the git repo root REM REM *** USE AT YOUR OWN RISK *** REM clear screen @clean set termout off conn USERNAME/PASSWORD@DATABASE_SERVICE variable input nvarchar2(10) set termout off col constraint_name format a30 drop table t_slow; create table t_slow as select to_char(rownum) pk, object_name from dba_objects; alter table t_slow add constraint t_slow_pk primary key ( pk ); set termout on set echo on clear screen select * from t_slow where rownum <= 10; pause select count(*) from t_slow; pause clear screen select constraint_name, constraint_type, status from user_constraints where table_name = 'T_SLOW'; pause select column_name from user_cons_columns where table_name = 'T_SLOW'; pause clear screen select index_name, status from user_indexes where table_name = 'T_SLOW'; pause select column_name from user_ind_columns where index_name = 'T_SLOW_PK'; pause delete plan_table; clear screen explain plan for select * from t_slow where pk = 12; pause select * from dbms_xplan.display(format=>'BASIC +COST +ROWS'); pause delete plan_table; clear screen explain plan for select /*+ index(t_slow) */ * from t_slow where pk = 12; pause select * from dbms_xplan.display(format=>'BASIC +COST +ROWS'); pause set lines 60 clear screen desc t_slow pause delete plan_table; set lines 120 clear screen explain plan for select * from t_slow where pk = 12; pause select * from dbms_xplan.display(format=>'TYPICAL'); pause clear screen drop table t_slow purge; create table t_slow as select 'str'||to_char(rownum) pk, object_name from dba_objects; alter table t_slow add constraint t_slow_pk primary key ( pk ); select * from t_slow where rownum <= 10; pause delete plan_table; clear screen explain plan for select * from t_slow where pk = 'str123'; pause select * from dbms_xplan.display(format=>'BASIC +COST +ROWS'); pause delete plan_table; clear screen exec :input := 'str123' explain plan for select * from t_slow where pk = :input; pause select * from dbms_xplan.display(format=>'BASIC +COST +ROWS'); pause clear screen select * from t_slow where pk = :input; select * from dbms_xplan.display_cursor(format=>'BASIC +COST +ROWS'); pause set echo off clear screen pro | pro | SQL> variable input nvarchar2(10) pro | pause set echo on select * from t_slow where pk = :input; pause select * from dbms_xplan.display_cursor(format=>'TYPICAL'); pause clear screen create index t_slow_ix on t_slow ( sys_op_c2c(pk)); pause select * from t_slow where pk = :input; pause select * from dbms_xplan.display_cursor(format=>'TYPICAL');
-- -- Test SP-GiST indexes. -- -- There are other tests to test different SP-GiST opclasses. This is for -- testing SP-GiST code itself. CREATE TABLE spgist_point_tbl ( id int4, p point ); CREATE INDEX spgist_point_idx ON spgist_point_tbl USING spgist (p) WITH (fillfactor = 75); -- Test vacuum-root operation. It gets invoked when the root is also a leaf, -- i.e. the index is very small. INSERT INTO spgist_point_tbl (id, p) SELECT g, point(g * 10, g * 10) FROM generate_series(1, 10) g; DELETE FROM spgist_point_tbl WHERE id < 5; VACUUM spgist_point_tbl; -- Insert more data, to make the index a few levels deep. INSERT INTO spgist_point_tbl (id, p) SELECT g, point(g * 10, g * 10) FROM generate_series(1, 10000) g; INSERT INTO spgist_point_tbl (id, p) SELECT g + 100000, point(g * 10 + 1, g * 10 + 1) FROM generate_series(1, 10000) g; -- To test vacuum, delete some entries from all over the index. DELETE FROM spgist_point_tbl WHERE id % 2 = 1; -- And also delete some concentration of values. (SP-GiST doesn't currently -- attempt to delete pages even when they become empty, but if it did, this -- would exercise it) DELETE FROM spgist_point_tbl WHERE id < 10000; VACUUM spgist_point_tbl; -- Test rescan paths (cf. bug #15378) -- use box and && rather than point, so that rescan happens when the -- traverse stack is non-empty CREATE TABLE spgist_box_tbl ( id serial, b box ); INSERT INTO spgist_box_tbl (b) SELECT box(point(i, j), point(i + s, j + s)) FROM generate_series(1, 100, 5) i, generate_series(1, 100, 5) j, generate_series(1, 10) s; CREATE INDEX spgist_box_idx ON spgist_box_tbl USING spgist (b); SELECT count(*) FROM ( VALUES (point(5, 5)), (point(8, 8)), (point(12, 12))) v (p) WHERE EXISTS ( SELECT * FROM spgist_box_tbl b WHERE b.b && box(v.p, v.p)); -- The point opclass's choose method only uses the spgMatchNode action, -- so the other actions are not tested by the above. Create an index using -- text opclass, which uses the others actions. CREATE TABLE spgist_text_tbl ( id int4, t text ); CREATE INDEX spgist_text_idx ON spgist_text_tbl USING spgist (t); INSERT INTO spgist_text_tbl (id, t) SELECT g, 'f' || repeat('o', 100) || g FROM generate_series(1, 10000) g UNION ALL SELECT g, 'baaaaaaaaaaaaaar' || g FROM generate_series(1, 1000) g; -- Do a lot of insertions that have to split an existing node. Hopefully -- one of these will cause the page to run out of space, causing the inner -- tuple to be moved to another page. INSERT INTO spgist_text_tbl (id, t) SELECT - g, 'f' || repeat('o', 100 - g) || 'surprise' FROM generate_series(1, 100) g; -- Test out-of-range fillfactor values CREATE INDEX spgist_point_idx2 ON spgist_point_tbl USING spgist (p) WITH (fillfactor = 9); CREATE INDEX spgist_point_idx2 ON spgist_point_tbl USING spgist (p) WITH (fillfactor = 101); -- Modify fillfactor in existing index ALTER INDEX spgist_point_idx SET (fillfactor = 90); REINDEX INDEX spgist_point_idx;
DROP KEYSPACE IF EXISTS testks ; create KEYSPACE testks WITH replication = {'class' : 'NetworkTopologyStrategy', 'DC1':1, 'DC2':1}; CREATE TABLE testks.ACCOUNTS ( id BIGINT, value BIGINT, PRIMARY KEY (id) );
<gh_stars>0 -------------------------------------------------------- -- DDL for Materialized View GSWIND -------------------------------------------------------- CREATE MATERIALIZED VIEW "GROUNDFISH"."GSWIND" ("WIND", "WINDDESC") ORGANIZATION HEAP PCTFREE 5 PCTUSED 40 INITRANS 1 MAXTRANS 255 NOCOMPRESS LOGGING STORAGE(INITIAL 65536 NEXT 65536 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT) TABLESPACE "MFD_GROUNDFISH" BUILD IMMEDIATE USING INDEX PCTFREE 10 INITRANS 2 MAXTRANS 255 STORAGE(INITIAL 65536 NEXT 65536 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT) TABLESPACE "MFD_GROUNDFISH" REFRESH FORCE ON DEMAND START WITH sysdate+0 NEXT (trunc(sysdate+1)+19/24) WITH ROWID USING DEFAULT LOCAL ROLLBACK SEGMENT DISABLE QUERY REWRITE AS SELECT "GSWIND"."WIND" "WIND","GSWIND"."WINDDESC" "WINDDESC" FROM "GRO<EMAIL>"."<EMAIL>"@GRO<EMAIL>.SABS "GSWIND"; CREATE UNIQUE INDEX "GROUNDFISH"."I_SNAP$_GSWIND" ON "GROUNDFISH"."GSWIND" ("M_ROW$$") PCTFREE 10 INITRANS 2 MAXTRANS 255 COMPUTE STATISTICS STORAGE(INITIAL 65536 NEXT 65536 MINEXTENTS 1 MAXEXTENTS 2147483645 PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1 BUFFER_POOL DEFAULT) TABLESPACE "MFD_GROUNDFISH" ; COMMENT ON MATERIALIZED VIEW "GROUNDFISH"."GSWIND" IS 'snapshot table for snapshot GROUNDFISH.GSWIND'; GRANT SELECT ON "GROUNDFISH"."GSWIND" TO PUBLIC; GRANT SELECT ON "GROUNDFISH"."GSWIND" TO "MFLIB"; GRANT SELECT ON "GROUNDFISH"."GSWIND" TO "VDC"; GRANT SELECT ON "GROUNDFISH"."GSWIND" TO "HUBLEYB"; GRANT SELECT ON "GROUNDFISH"."GSWIND" TO "GREYSONP";
<filename>backend/app/db/sql/master.sql SET foreign_key_checks=0; DROP TABLE IF EXISTS `users`; CREATE TABLE `users` ( `id` BIGINT NOT NULL AUTO_INCREMENT, `user_name` VARCHAR(255) NOT NULL, `auth_id` VARCHAR(191) NOT NULL, `email` VARCHAR(255) NOT NULL, `created_at` DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, `updated_at` DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, UNIQUE `auth_id_idx` (`auth_id`), UNIQUE `email_idx` (`email`), PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARACTER SET utf8mb4; DROP TABLE IF EXISTS `todos`; CREATE TABLE `todos` ( `id` BIGINT NOT NULL AUTO_INCREMENT, `user_id` BIGINT NOT NULL, `title` VARCHAR(255) NOT NULL, `content` LONGTEXT NOT NULL, `checked` TINYINT(1) NOT NULL DEFAULT false, `created_at` DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, `updated_at` DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, INDEX `user_id_idx` (`user_id`), PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARACTER SET utf8mb4; SET foreign_key_checks=1;
-- phpMyAdmin SQL Dump -- version 4.7.9 -- https://www.phpmyadmin.net/ -- -- Host: 127.0.0.1 -- Generation Time: May 22, 2020 at 01:32 PM -- Server version: 10.1.31-MariaDB -- PHP Version: 7.2.3 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: `gnfs` -- -- -------------------------------------------------------- -- -- Table structure for table `logistics` -- CREATE TABLE `logistics` ( `id` bigint(20) UNSIGNED NOT NULL, `firestationid` int(10) UNSIGNED NOT NULL, `water_volume` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL, `fire_extinguisher` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL, `fire_trucks` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL, `number_of_persons` varchar(191) 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 `logistics` -- INSERT INTO `logistics` (`id`, `firestationid`, `water_volume`, `fire_extinguisher`, `fire_trucks`, `number_of_persons`, `created_at`, `updated_at`) VALUES (1, 3, '8000', '5', '4', '12', '2020-05-05 00:00:00', NULL), (2, 5, '8000', '5', '4', '12', '2020-05-05 00:00:00', NULL), (4, 8, '8000', '5', '4', '12', '2020-05-05 00:00:00', NULL), (5, 9, '8000', '5', '4', '12', '2020-05-05 00:00:00', NULL); -- -------------------------------------------------------- -- -- Table structure for table `migrations` -- CREATE TABLE `migrations` ( `id` int(10) UNSIGNED NOT NULL, `migration` varchar(191) 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, '2014_10_12_100000_create_password_resets_table', 1), (3, '2020_02_24_145741_create_logistics_table', 1), (4, '2020_02_28_112312_create_resource_useds_table', 1); -- -------------------------------------------------------- -- -- Table structure for table `password_resets` -- CREATE TABLE `password_resets` ( `email` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL, `token` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL, `created_at` timestamp NULL DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci; -- -------------------------------------------------------- -- -- Table structure for table `resource_useds` -- CREATE TABLE `resource_useds` ( `id` bigint(20) UNSIGNED NOT NULL, `firestationid` int(10) UNSIGNED NOT NULL, `water_volume` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL, `fire_extinguisher` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL, `fire_trucks` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL, `number_of_persons` varchar(191) 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 `users` -- CREATE TABLE `users` ( `id` int(10) UNSIGNED NOT NULL, `name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL, `email` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL, `email_verified_at` timestamp NULL DEFAULT NULL, `password` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL, `latitude` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL, `longitude` varchar(191) 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`, `email_verified_at`, `password`, `latitude`, `longitude`, `remember_token`, `created_at`, `updated_at`) VALUES (3, 'KNUST', '<EMAIL>', NULL, '$2y$10$3g1nFGLwLBZPvzzQDskeuOu60FYhjAtX8yCGbJ9vqbyfdGUvdKcny', '6.6666', '1.6163', NULL, '2020-05-07 08:30:33', '2020-05-07 08:30:33'), (5, 'Accra Fire Service', '<EMAIL>', NULL, '$2y$10$5lowZn7XxZ5fzs.SWoO8KusGQLkDUh.ESZ//RSQa6b9Wr8yJu1R0u', '5.8142835999999996', '0.0746767', NULL, '2020-05-05 15:52:39', '2020-05-05 15:52:39'), (8, '<NAME>', '<EMAIL>', NULL, '$2y$10$7CozsUpQdmZbzccTknOHruxREe4tzAhNB46CrzIsMY6QuFeoEASEC', ' 5.6131584000000005', ' -0.2359296', NULL, '2020-05-22 11:06:57', '2020-05-22 11:06:57'), (9, 'Tamale', '<EMAIL>', NULL, '$2y$10$Ex61twN45Zdz2rX1VwHLa.4wocg8dI17yRnc5IKmHVmmIfy75DEPa', '9.4034', '-0.8424', NULL, '2020-05-22 11:13:04', '2020-05-22 11:13:04'); -- -- Indexes for dumped tables -- -- -- Indexes for table `logistics` -- ALTER TABLE `logistics` ADD PRIMARY KEY (`id`), ADD KEY `logistics_firestationid_foreign` (`firestationid`); -- -- Indexes for table `migrations` -- ALTER TABLE `migrations` ADD PRIMARY KEY (`id`); -- -- Indexes for table `password_resets` -- ALTER TABLE `password_resets` ADD KEY `password_resets_email_index` (`email`); -- -- Indexes for table `resource_useds` -- ALTER TABLE `resource_useds` ADD PRIMARY KEY (`id`), ADD KEY `resource_useds_firestationid_foreign` (`firestationid`); -- -- Indexes for table `users` -- ALTER TABLE `users` ADD PRIMARY KEY (`id`), ADD UNIQUE KEY `users_email_unique` (`email`); -- -- AUTO_INCREMENT for dumped tables -- -- -- AUTO_INCREMENT for table `logistics` -- ALTER TABLE `logistics` MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6; -- -- AUTO_INCREMENT for table `migrations` -- ALTER TABLE `migrations` MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5; -- -- AUTO_INCREMENT for table `resource_useds` -- ALTER TABLE `resource_useds` MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT; -- -- AUTO_INCREMENT for table `users` -- ALTER TABLE `users` MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=10; -- -- Constraints for dumped tables -- -- -- Constraints for table `logistics` -- ALTER TABLE `logistics` ADD CONSTRAINT `logistics_firestationid_foreign` FOREIGN KEY (`firestationid`) REFERENCES `users` (`id`); -- -- Constraints for table `resource_useds` -- ALTER TABLE `resource_useds` ADD CONSTRAINT `resource_useds_firestationid_foreign` FOREIGN KEY (`firestationid`) 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 */;
DROP DATABASE IF EXISTS mymart; CREATE DATABASE mymart; USE mymart;
<reponame>PandhuWibowo/GMapsLocation -- phpMyAdmin SQL Dump -- version 4.7.7 -- https://www.phpmyadmin.net/ -- -- Host: localhost -- Generation Time: Aug 16, 2018 at 09:59 AM -- Server version: 10.1.30-MariaDB -- PHP Version: 7.2.1 SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO"; SET AUTOCOMMIT = 0; START TRANSACTION; SET time_zone = "+00:00"; /*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */; /*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */; /*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */; /*!40101 SET NAMES utf8mb4 */; -- -- Database: `db_gmaps_laravel` -- -- -------------------------------------------------------- -- -- Table structure for table `route` -- CREATE TABLE `route` ( `id` int(11) NOT NULL, `lat` varchar(40) DEFAULT NULL, `longt` varchar(50) DEFAULT NULL, `description` text ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data for table `route` -- INSERT INTO `route` (`id`, `lat`, `longt`, `description`) VALUES (3, '-6.21062969276453', '106.84386663871624', NULL), (4, '-6.223033102557091', '106.85195982456207', 'South Manggarai SDN 03 Pg\r\nJalan Sederhana I, RT.016/RW.002\r\nRT.16/RW.2, Manggarai Sel.\r\nTebet\r\nKota Jakarta Selatan, Daerah Khusus Ibukota Jakarta 12860, Indonesia'); -- -- Indexes for dumped tables -- -- -- Indexes for table `route` -- ALTER TABLE `route` ADD PRIMARY KEY (`id`); -- -- AUTO_INCREMENT for dumped tables -- -- -- AUTO_INCREMENT for table `route` -- ALTER TABLE `route` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5; 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 PROCEDURE [dbo].[usp_sqlwatch_local_meta_add] as begin declare @cid uniqueidentifier; exec [dbo].[usp_sqlwatch_internal_broker_dialog_new] @cid = @cid output; exec [dbo].[usp_sqlwatch_local_logger_enqueue_metadata_snapshot] @metadata = 'meta_server', @cid = @cid; exec [dbo].[usp_sqlwatch_local_logger_enqueue_metadata_snapshot] @metadata = 'sys_databases', @cid = @cid; exec [dbo].[usp_sqlwatch_local_logger_enqueue_metadata_snapshot] @metadata = 'sys_master_files', @cid = @cid; exec [dbo].[usp_sqlwatch_local_logger_enqueue_metadata_snapshot] @metadata = 'sys_jobs', @cid = @cid; exec [dbo].[usp_sqlwatch_local_logger_enqueue_metadata_snapshot] @metadata = 'dm_os_memory_clerks', @cid = @cid; exec [dbo].[usp_sqlwatch_local_logger_enqueue_metadata_snapshot] @metadata = 'dm_os_wait_stats', @cid = @cid; exec [dbo].[usp_sqlwatch_local_logger_enqueue_metadata_snapshot] @metadata = 'dm_os_performance_counters', @cid = @cid; exec [dbo].[usp_sqlwatch_internal_broker_dialog_end] @cid = @cid; end;
<filename>.config/migrations/20210212235855_member_contract_items.down.sql DROP TABLE `member_contract_items`;
/* Navicat MySQL Data Transfer Source Server : Localhost PHP 7 Source Server Version : 100137 Source Host : localhost:3307 Source Database : alus2.0 Target Server Type : MYSQL Target Server Version : 100137 File Encoding : 65001 Date: 2020-01-24 10:09:45 */ SET FOREIGN_KEY_CHECKS=0; -- ---------------------------- -- Table structure for alus_g -- ---------------------------- DROP TABLE IF EXISTS `alus_g`; CREATE TABLE `alus_g` ( `id` mediumint(8) unsigned NOT NULL AUTO_INCREMENT, `name` varchar(50) NOT NULL, `description` varchar(100) NOT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB AUTO_INCREMENT=20 DEFAULT CHARSET=utf8; -- ---------------------------- -- Records of alus_g -- ---------------------------- INSERT INTO `alus_g` VALUES ('1', 'admin', 'testaa'); -- ---------------------------- -- Table structure for alus_gd -- ---------------------------- DROP TABLE IF EXISTS `alus_gd`; CREATE TABLE `alus_gd` ( `agd_id` int(11) NOT NULL AUTO_INCREMENT, `ag_id` int(11) DEFAULT NULL, `enabled` int(1) DEFAULT NULL, `table_name` varchar(50) DEFAULT NULL, `table_is_filter` int(1) DEFAULT NULL, `table_where` varchar(50) DEFAULT NULL, `table_filter` varchar(1000) DEFAULT NULL, PRIMARY KEY (`agd_id`) ) ENGINE=InnoDB AUTO_INCREMENT=28 DEFAULT CHARSET=latin1; -- ---------------------------- -- Records of alus_gd -- ---------------------------- INSERT INTO `alus_gd` VALUES ('1', '1', '1', 'Test Maul', null, null, '+1++2++3++5++7+'); INSERT INTO `alus_gd` VALUES ('2', '2', '1', 'tesst', null, null, '+24+'); INSERT INTO `alus_gd` VALUES ('4', '14', '1', 'teest', null, null, '+1+'); INSERT INTO `alus_gd` VALUES ('5', '15', '1', 'teest', null, null, null); INSERT INTO `alus_gd` VALUES ('6', '28', '1', 'teest', null, null, null); INSERT INTO `alus_gd` VALUES ('7', '17', '1', 'teest', null, null, null); INSERT INTO `alus_gd` VALUES ('8', '16', '1', 'teest', null, null, null); INSERT INTO `alus_gd` VALUES ('9', '27', '1', 'teest', null, null, null); INSERT INTO `alus_gd` VALUES ('10', '30', '1', 'teest', null, null, null); INSERT INTO `alus_gd` VALUES ('11', '29', '1', 'teest', null, null, null); INSERT INTO `alus_gd` VALUES ('12', '21', '1', 'Ma', null, null, '+2++10+'); INSERT INTO `alus_gd` VALUES ('13', '20', '1', 'teest', null, null, null); INSERT INTO `alus_gd` VALUES ('14', '22', '1', 'teest', null, null, null); INSERT INTO `alus_gd` VALUES ('15', '31', '1', 'teest', null, null, null); INSERT INTO `alus_gd` VALUES ('17', '24', '1', 'teest', null, null, '+49++50++51+'); INSERT INTO `alus_gd` VALUES ('18', '25', '1', 'teest', null, null, null); INSERT INTO `alus_gd` VALUES ('19', '26', '1', 'teest', null, null, '+5+'); INSERT INTO `alus_gd` VALUES ('20', '18', '1', 'teest', null, null, '+3+'); INSERT INTO `alus_gd` VALUES ('21', '23', '1', 'teest', null, null, '+234+'); INSERT INTO `alus_gd` VALUES ('22', '33', '1', 'teest', null, null, null); INSERT INTO `alus_gd` VALUES ('23', '34', '1', 'teest', null, null, null); INSERT INTO `alus_gd` VALUES ('25', '88', '1', 'Tables', null, null, '+1++5++49++50+'); INSERT INTO `alus_gd` VALUES ('26', '89', '1', 'Tables', null, null, '+5+'); INSERT INTO `alus_gd` VALUES ('27', '86', '1', 'maulanaaaaa', null, null, '+1+'); -- ---------------------------- -- Table structure for alus_la -- ---------------------------- DROP TABLE IF EXISTS `alus_la`; CREATE TABLE `alus_la` ( `id` int(11) unsigned NOT NULL AUTO_INCREMENT, `ip_address` varchar(15) NOT NULL, `login` varchar(100) NOT NULL, `time` int(11) unsigned DEFAULT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8; -- ---------------------------- -- Records of alus_la -- ---------------------------- -- ---------------------------- -- Table structure for alus_mg -- ---------------------------- DROP TABLE IF EXISTS `alus_mg`; CREATE TABLE `alus_mg` ( `menu_id` int(11) NOT NULL AUTO_INCREMENT, `menu_parent` int(11) NOT NULL, `menu_nama` varchar(255) NOT NULL, `menu_uri` varchar(255) NOT NULL, `menu_target` varchar(255) DEFAULT NULL, `menu_icon` varchar(25) DEFAULT NULL, `order_num` int(5) DEFAULT NULL, PRIMARY KEY (`menu_id`) ) ENGINE=InnoDB AUTO_INCREMENT=78 DEFAULT CHARSET=utf8; -- ---------------------------- -- Records of alus_mg -- ---------------------------- INSERT INTO `alus_mg` VALUES ('11', '30', 'Menus', 'menus', '', 'fa fa-bars fa-fw', '1'); INSERT INTO `alus_mg` VALUES ('12', '30', 'Group', 'group', '', 'fa fa-book fa-fw', '2'); INSERT INTO `alus_mg` VALUES ('13', '30', 'User', 'users', '', 'fa fa-book fa-fw', '3'); INSERT INTO `alus_mg` VALUES ('30', '0', 'Master', '#', '', 'fa fa-bars fa-fw', '1'); -- ---------------------------- -- Table structure for alus_mga -- ---------------------------- DROP TABLE IF EXISTS `alus_mga`; CREATE TABLE `alus_mga` ( `id` int(11) NOT NULL AUTO_INCREMENT, `id_group` mediumint(8) unsigned NOT NULL, `id_menu` int(11) NOT NULL, `can_view` int(1) DEFAULT NULL, `can_edit` int(1) NOT NULL DEFAULT '0', `can_add` int(1) NOT NULL DEFAULT '0', `can_delete` int(1) NOT NULL DEFAULT '0', `psv` datetime DEFAULT NULL, `pev` datetime DEFAULT NULL, `psed` datetime DEFAULT NULL, `peed` datetime DEFAULT NULL, PRIMARY KEY (`id`), KEY `fk_groups_deleted` (`id_group`) USING BTREE, KEY `fk_menu_deleted` (`id_menu`) ) ENGINE=InnoDB AUTO_INCREMENT=3844 DEFAULT CHARSET=utf8; -- ---------------------------- -- Records of alus_mga -- ---------------------------- INSERT INTO `alus_mga` VALUES ('3796', '1', '30', '1', '0', '0', '0', '2016-09-06 10:55:00', '2016-09-06 10:55:00', '2016-08-08 12:06:00', '2016-08-09 13:50:00'); INSERT INTO `alus_mga` VALUES ('3797', '1', '12', '1', '1', '1', '1', '2016-09-06 10:55:00', '2016-09-06 10:55:00', '1970-01-01 01:00:00', '1970-01-01 01:00:00'); INSERT INTO `alus_mga` VALUES ('3798', '1', '13', '1', '1', '1', '1', '1970-01-01 01:00:00', '1970-01-01 01:00:00', '1970-01-01 01:00:00', '1970-01-01 01:00:00'); INSERT INTO `alus_mga` VALUES ('3801', '1', '58', '1', '0', '0', '0', '1970-01-01 12:00:00', '1970-01-01 12:00:00', '1970-01-01 00:00:00', '1970-01-01 00:00:00'); INSERT INTO `alus_mga` VALUES ('3803', '1', '66', '1', '0', '0', '0', '1970-01-01 12:00:00', '1970-01-01 12:00:00', '1970-01-01 00:00:00', '1970-01-01 00:00:00'); INSERT INTO `alus_mga` VALUES ('3804', '1', '68', '1', '0', '0', '0', '1970-01-01 12:00:00', '1970-01-01 12:00:00', '1970-01-01 00:00:00', '1970-01-01 00:00:00'); INSERT INTO `alus_mga` VALUES ('3807', '1', '70', '1', '0', '0', '0', '1970-01-01 12:00:00', '1970-01-01 12:00:00', '1970-01-01 00:00:00', '1970-01-01 00:00:00'); INSERT INTO `alus_mga` VALUES ('3817', '1', '75', '1', '1', '1', '1', '1970-01-01 01:00:00', '1970-01-01 01:00:00', '1970-01-01 01:00:00', '1970-01-01 01:00:00'); INSERT INTO `alus_mga` VALUES ('3843', '1', '11', '1', '1', '1', '1', null, null, null, null); -- ---------------------------- -- Table structure for alus_u -- ---------------------------- DROP TABLE IF EXISTS `alus_u`; CREATE TABLE `alus_u` ( `id` int(11) unsigned NOT NULL AUTO_INCREMENT, `username` varchar(100) NOT NULL, `job_title` varchar(50) DEFAULT NULL, `abc` varchar(100) NOT NULL, `ip_address` varchar(15) NOT NULL, `ghi` varchar(255) NOT NULL, `def` varchar(255) DEFAULT NULL, `mno` varchar(40) DEFAULT NULL, `jkl` varchar(40) DEFAULT NULL, `stu` int(11) unsigned DEFAULT NULL, `pqr` varchar(40) DEFAULT NULL, `created_on` int(11) unsigned NOT NULL, `last_login` int(11) unsigned DEFAULT NULL, `active` tinyint(1) unsigned DEFAULT NULL, `first_name` varchar(50) DEFAULT NULL, `last_name` varchar(50) DEFAULT NULL, `company` varchar(100) DEFAULT NULL, `phone` varchar(20) DEFAULT NULL, `ht` int(1) DEFAULT '0', `picture` varchar(255) DEFAULT NULL, `mdo_id` int(11) DEFAULT NULL, `mos_id` int(11) DEFAULT NULL, `grup_type` int(11) DEFAULT NULL, `bpd_id` int(11) DEFAULT NULL, `bpd_id_2` int(11) DEFAULT NULL, `staff_pmk_id` int(11) DEFAULT NULL, PRIMARY KEY (`id`), KEY `sys_users_idx1` (`id`) USING BTREE, KEY `sys_users_idx2` (`id`) USING BTREE ) ENGINE=InnoDB AUTO_INCREMENT=181 DEFAULT CHARSET=utf8; -- ---------------------------- -- Records of alus_u -- ---------------------------- INSERT INTO `alus_u` VALUES ('64', 'admins', 'admins', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+5Kixew57njDPeg==', '::1', '$2y$08$.sbsuXatbF/d4/RvUy77GeeX/Nw48XoXXS/3Xurj7O/ujoQu3KGzK', 'xEfWFClsAdO4BnNm', '', '', null, '', '1469523580', '1579833925', '1', 'User', '', '', '11', '0', '1496118042.jpg', null, null, null, null, null, null); INSERT INTO `alus_u` VALUES ('65', 'BAGIAN PERLENGKAPAN', 'BAGIAN PERLENGKAPAN', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnkVgp03DrOdk5BlGFoiIk=', '::1', '$2y$08$JoKZ4fv6BkH5WTWLwW9IfulZAbwPRhawSu5/basXlOukNzemXJuqS', 'Ih49EoG2nF0Zt38O', null, null, null, null, '1542868077', '1550670091', '1', 'BAGIAN PERLENGKAPAN', null, null, '0', '0', 'avatar_default.png', null, '1', null, null, null, null); INSERT INTO `alus_u` VALUES ('66', 'DINAS PENDIDIKAN', 'DINAS PENDIDIKAN', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnnVgp03DrOdk5BlGFoiIk=', '::1', '$2y$08$VUKn/N/Oz3h/8IB7somj3ODzqJ3cGYVnLbUw/QESB9MVhCV.zeInG', 'Qoc9aAIiYkGjg9IZ', null, null, null, null, '1542868087', '1550991198', '1', 'DINAS PENDIDIKAN', '', null, '0', '0', 'avatar_default.png', null, '2', null, null, null, null); INSERT INTO `alus_u` VALUES ('67', 'KECAMATAN KAYAN HULU', 'KECAMATAN KAYAN HULU', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnmVgp03DrOdk5BlGFoiIk=', '::1', '$2y$08$amSFXmE4w705SSYY562IM.wr5fvtERPp7sXIFyi04MgZVY2rEhMXS', 'rrptJbn3YVDGJGOF', null, null, null, null, '1542868107', '1549440969', '1', 'KECAMATAN KAYAN HULU', null, null, '0', '0', 'avatar_default.png', null, '3', null, null, null, null); INSERT INTO `alus_u` VALUES ('68', 'KECAMATAN MALINAU SELATAN HULU', 'KECAMATAN MALINAU SELATAN HULU', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnhVgp03DrOdk5BlGFoiIk=', '::1', '$2y$08$54yXxiB4w4TpZrfS8E4k2.8h24NaIjW9txSJQJ5lTnpmT9b.Rbqpi', 'Ftr/Tmqyey/I30FI', null, null, null, null, '1542868115', '1551275597', '1', 'KECAMATAN MALINAU SELATAN HULU', null, null, '0', '0', 'avatar_default.png', null, '4', null, null, null, null); INSERT INTO `alus_u` VALUES ('69', 'KECAMATAN MALINAU KOTA', 'KECAMATAN MALINAU KOTA', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPngVgp03DrOdk5BlGFoiIk=', '::1', '$2y$08$El7EPObwt.3SXLXC/Ra/Pe038PDY5nrJWQJ0Ol8H9dwGC.rU45Ed6', '60TGEWENwJbU2E.t', null, null, null, null, '1542868123', '1549271960', '1', 'KECAMATAN MALINAU KOTA', null, null, '0', '0', 'avatar_default.png', null, '5', null, null, null, null); INSERT INTO `alus_u` VALUES ('70', 'BADAN PERENCANAAN PEMBANGUNAN DAERAH DAN LITBANG', 'BADAN PERENCANAAN PEMBANGUNAN DAERAH DAN LITBANG', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnjVgp03DrOdk5BlGFoiIk=', '::1', '$2y$08$rxv1uLfYNkY6rsWG1FUF0eO5ai0o0b/yahX1H1cgxKRmRyCVGkKJ6', 'nZnOhCQn1ho5dbWZ', null, null, null, null, '1542868130', null, '1', 'BADAN PERENCANAAN PEMBANGUNAN DAERAH DAN LITBANG', null, null, '0', '0', 'avatar_default.png', null, '6', null, null, null, null); INSERT INTO `alus_u` VALUES ('71', 'DINAS PERHUBUNGAN', 'DINAS PERHUBUNGAN', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPniVgp03DrOdk5BlGFoiIk=', '::1', '$2y$08$/KMY9ZSiaLqSNvbQ60A.Gu.pNmuM.rQMm6y5Fa6pgGz2xTNi/6bUu', 'UHVMoXEIQ1Jdlkc/', null, null, null, null, '1542868139', null, '1', 'DINAS PERHUBUNGAN', null, null, '0', '0', 'avatar_default.png', null, '7', null, null, null, null); INSERT INTO `alus_u` VALUES ('72', 'BAGIAN PEMBANGUNAN', 'BAGIAN PEMBANGUNAN', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPntVgp03DrOdk5BlGFoiIk=', '::1', '$2y$08$Drr9MvhHhfK.mbZoJpmHgOGT2V358Y/XYbadXbqBiTBXKHGOgb68i', 'lMsDc82.X6.iY6ni', null, null, null, null, '1542868147', null, '1', 'BAGIAN PEMBANGUNAN', null, null, '0', '0', 'avatar_default.png', null, '8', null, null, null, null); INSERT INTO `alus_u` VALUES ('73', 'SEKRETARIAT DPRD', 'SEKRETARIAT DPRD', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnsVgp03DrOdk5BlGFoiIk=', '::1', '$2y$08$1HRiU7/MXyYi4HGQtRlsReLbmyYbmRJVQ6WBPNp1ZCLRGmWVBp.c6', 'V.h09FO10yyZpodC', null, null, null, null, '1542868153', null, '1', 'SEKRETARIAT DPRD', null, null, '0', '0', 'avatar_default.png', null, '9', null, null, null, null); INSERT INTO `alus_u` VALUES ('74', 'BAGIAN ORGANISASI', 'BAGIAN ORGANISASI', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnkJid40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$ZFbbTqozjtTDp0L4xJAPPen6cBfKf9F.0PSTjVLhM8a/.tNnpgX4q', 'SSH8uLPH3S1ocJ9x', null, null, null, null, '1542868160', '1549447873', '1', 'BAGIAN ORGANISASI', null, null, '0', '0', 'avatar_default.png', null, '10', null, null, null, null); INSERT INTO `alus_u` VALUES ('75', 'BAGIAN PENGADAAN BARANG DAN JASA', 'BAGIAN PENGADAAN BARANG DAN JASA', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnkJyd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$ROEnxItEW6Q/Qe4YAn6QuudF6PLNnTsAg5gjkgmQVNvaIs8cusRQG', 'E4/B7vlEUGSBt/9n', null, null, null, null, '1542868167', '1549440721', '1', 'BAGIAN PENGADAAN BARANG DAN JASA', null, null, '0', '0', 'avatar_default.png', null, '11', null, null, null, null); INSERT INTO `alus_u` VALUES ('76', 'BAGIAN PENGELOLAAN PERBATASAN NEGARA', 'BAGIAN PENGELOLAAN PERBATASAN NEGARA', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnkJCd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$gVBcpIGUsBXQXAop6ZbhnO0wkhm4grqUsikYbNzTubdRpsZsVml9i', 'ywaxdj2lO0vyjt5f', null, null, null, null, '1542868175', null, '1', 'BAGIAN PENGELOLAAN PERBATASAN NEGARA', null, null, '0', '0', 'avatar_default.png', null, '12', null, null, null, null); INSERT INTO `alus_u` VALUES ('79', 'DINAS PERIKANAN', 'DINAS PERIKANAN', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnkIyd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$0IY0nl2KkJMVOxNBo.rpTeTDMWI.7oN6XOp2gKqyZ.PG4EzBUMun2', 'ump1Cg244ldPc4np', null, null, null, null, '1542868195', null, '1', 'DINAS PERIKANAN', null, null, '0', '0', 'avatar_default.png', null, '15', null, null, null, null); INSERT INTO `alus_u` VALUES ('80', 'DINAS PERTANIAN', 'DINAS PERTANIAN', 'M<KEY>', '::1', '$2y$08$DQHmsH7zE6xJtd29MauosunPBgqGN2fml8Kn0JMBxrUhSC9gODKSq', 'm/vUH.JoDbyuWmsX', null, null, null, null, '1542868201', null, '1', 'DINAS PERTANIAN', null, null, '0', '0', 'avatar_default.png', null, '16', null, null, null, null); INSERT INTO `alus_u` VALUES ('81', 'DINAS PERINDUSTRIAN DAN PERDAGANGAN', 'DINAS PERINDUSTRIAN DAN PERDAGANGAN', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnkIS<KEY>', '::1', '$2y$08$AOnWtOtLE9C2kgvmIjZJJeAQPzsy6wUKYzZK14Vnvt7leqcuABjX2', 'KfwQDwpJFcsNEnHH', null, null, null, null, '1542868208', null, '1', 'DINAS PERINDUSTRIAN DAN PERDAGANGAN', null, null, '0', '0', 'avatar_default.png', null, '17', null, null, null, null); INSERT INTO `alus_u` VALUES ('82', 'DINAS KEBUDAYAAN DAN PARIWISATA', 'DINAS KEBUDAYAAN DAN PARIWISATA', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnkLid40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$ivq3p0FOZP4/vi6kxtYc4ebkKmx3ZPzZa2qzcAXxCF51FPA6wlIz6', 'Hk6r0krOfpMlJQww', null, null, null, null, '1542868214', null, '1', 'DINAS KEBUDAYAAN DAN PARIWISATA', null, null, '0', '0', 'avatar_default.png', null, '18', null, null, null, null); INSERT INTO `alus_u` VALUES ('83', 'DINAS KEPEMUDAAN DAN OLAHRAGA', 'DINAS KEPEMUDAAN DAN OLAHRAGA', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnkLyd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$R/fA./V3uYPh2xLWLAC0Zedo3Fr/SRSZZNxfW1shSdYvBWOjX5xrK', 'DMIbULsgw0Cd71wb', null, null, null, null, '1542868221', null, '1', 'DINAS KEPEMUDAAN DAN OLAHRAGA', null, null, '0', '0', 'avatar_default.png', null, '19', null, null, null, null); INSERT INTO `alus_u` VALUES ('84', 'BADAN KEPEGAWAIAN, PENDIDIKAN DAN PELATIHAN', 'BADAN KEPEGAWAIAN, PENDIDIKAN DAN PELATIHAN', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnnJid40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$1sTxGiMpQ/0C1KkU3LHbl.frJhweq1zNzA4bRaEFNRRAWp0AVZ8FK', '00k2AC7bWZWFhzE6', null, null, null, null, '1542868234', null, '1', 'BADAN KEPEGAWAIAN, PENDIDIKAN DAN PELATIHAN', '', null, '0', '0', 'avatar_default.png', null, '20', null, null, null, '11'); INSERT INTO `alus_u` VALUES ('85', 'BAGIAN TATA PEMERINTAHAN', 'BAGIAN TATA PEMERINTAHAN', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnnJyd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$.BDVTDqvas.GZO.l2HLxY.qSUrLwqvYKhOsYdFxPN8fQx39TX2.a6', 'ul0s6PLnTxEx41E2', null, null, null, null, '1542868262', null, '1', 'BAGIAN TATA PEMERINTAHAN', null, null, '0', '0', 'avatar_default.png', null, '21', null, null, null, null); INSERT INTO `alus_u` VALUES ('86', 'DINAS PEKERJAAN UMUM, PENATAAN RUANG, PERUMAHAN DAN KAWASAN PEMUKIMAN', 'DINAS PEKERJAAN UMUM, PENATAAN RUANG, PERUMAHAN DA', 'M<KEY>lPnnJCd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$BKgKiiPmmLn.DO4P.TyOrObIK1W6dvSFiU5NQfbw.zQ5SysDqp1Fy', 'flkveMiVlkIYUuGJ', null, null, null, null, '1542868271', null, '1', 'DINAS PEKERJAAN UMUM, PENATAAN RUANG, PERUMAHAN DA', null, null, '0', '0', 'avatar_default.png', null, '22', null, null, null, null); INSERT INTO `alus_u` VALUES ('87', 'BADAN SATUAN POLISI PAMONG PRAJA DAN PEMADAM KEBAKARAN', 'BADAN SATUAN POLISI PAMONG PRAJA DAN PEMADAM KEBAK', '<KEY>', '::1', '$2y$08$x.5JfLsBq1G/SBASCV4QROlZvvGJhCcRdJ9fZ4vAqov7eKln6iRk6', '9XDKlgf/4zdQTV1y', null, null, null, null, '1542868282', null, '1', 'BADAN SATUAN POLISI PAMONG PRAJA DAN PEMADAM KEBAK', null, null, '0', '0', 'avatar_default.png', null, '23', null, null, null, null); INSERT INTO `alus_u` VALUES ('88', 'BADAN KESATUAN BANGSA DAN POLITIK', 'BADAN KESATUAN BANGSA DAN POLITIK', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnnIid40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$VvC4T1V4iZbnc6qPviK94OXUk9eFX9XYMWHsfEEqkQcgApC6dYs0a', 'umkKYV4x1afVmu.8', null, null, null, null, '1542868343', null, '1', 'BADAN KESATUAN BANGSA DAN POLITIK', '', null, '0', '0', 'avatar_default.png', null, '24', null, null, null, null); INSERT INTO `alus_u` VALUES ('89', 'DINAS KETAHANAN PANGAN', 'DINAS KETAHANAN PANGAN', 'M<KEY>', '::1', '$2y$08$bSzkJcLMD8wcD9WvDwcnR.y3gtV.tmVf6QzPOld.zxDqC1NHQvNx.', 'yXGdAECGARwCxUer', null, null, null, null, '1542868359', null, '1', 'DINAS KETAHANAN PANGAN', null, null, '0', '0', 'avatar_default.png', null, '25', null, null, null, null); INSERT INTO `alus_u` VALUES ('90', 'DINAS LINGKUNGAN HIDUP', 'DINAS LINGKUNGAN HIDUP', 'M<KEY>', '::1', '$2y$08$zfF8fYPmWJWXOgl7o4Ng3.m3iSLK7DCHKFbCNci0kbShDMYljrQ7S', 'CQvIrGTk/.1hhglm', null, null, null, null, '1542868370', null, '1', 'DINAS LINGKUNGAN HIDUP', null, null, '0', '0', 'avatar_default.png', null, '26', null, null, null, null); INSERT INTO `alus_u` VALUES ('91', 'DINAS KOMUNIKASI DAN INFORMATIKA', 'DINAS KOMUNIKASI DAN INFORMATIKA', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnnISd40T/JeVoa3Wkpz4Sj', '::1', <PASSWORD>', 'oUe.j.CXcGZtxfhX', null, null, null, null, '1542868381', null, '1', 'DINAS KOMUNIKASI DAN INFORMATIKA', null, null, '0', '0', 'avatar_default.png', null, '27', null, null, null, null); INSERT INTO `alus_u` VALUES ('92', 'DINAS PEMBERDAYAAN PEREMPUAN, PERLINDUNGAN ANAK DAN SOSIAL', 'DINAS PEMBERDAYAAN PEREMPUAN, PERLINDUNGAN ANAK DA', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnnLid40T/JeVoa3Wkpz4Sj', '::1', <PASSWORD>', 'Sg0zS/LEL1CHLTzd', null, null, null, null, '1542868391', null, '1', 'DINAS PEMBERDAYAAN PEREMPUAN, PERLINDUNGAN ANAK DA', null, null, '0', '0', 'avatar_default.png', null, '28', null, null, null, null); INSERT INTO `alus_u` VALUES ('93', 'DINAS PEMBERDAYAAN MASYARAKAT DAN DESA', 'DINAS PEMBERDAYAAN MASYARAKAT DAN DESA', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnnLyd40T/JeVoa3Wkpz4Sj', '::1', <PASSWORD>$zn<PASSWORD>', '17N73VZ2I3Rn3.rd', null, null, null, null, '1542868409', null, '1', 'DINAS PEMBERDAYAAN MASYARAKAT DAN DESA', null, null, '0', '0', 'avatar_default.png', null, '29', null, null, null, null); INSERT INTO `alus_u` VALUES ('94', 'DINAS PENANAMAN MODAL, PELAYANAN TERPADU SATU PINTU DAN TENAGA KERJA', 'DINAS PENANAMAN MODAL, PELAYANAN TERPADU SATU PINT', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnmJid40T/JeVoa3Wkpz4Sj', '::1', <PASSWORD>', 'Wc01LUHcCerdrPyO', null, null, null, null, '1542868416', null, '1', 'DINAS PENANAMAN MODAL, PELAYANAN TERPADU SATU PINT', null, null, '0', '0', 'avatar_default.png', null, '30', null, null, null, null); INSERT INTO `alus_u` VALUES ('95', 'DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL', 'DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnmJyd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$NEM0qS9YsaVAKAkXhTQgfevwrXyNKndk08HZOOvCgd3orIaUXzNcW', 'h80dJ/KkQYQeH9CN', null, null, null, null, '1542868423', null, '1', 'DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL', null, null, '0', '0', 'avatar_default.png', null, '31', null, null, null, null); INSERT INTO `alus_u` VALUES ('96', 'BAGIAN EKONOMI', 'BAGIAN EKONOMI', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnmJCd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$2jWtOqgBvOkuX2/OgC9Eo..jiJIrAE9ZvNNDmDIgjgO73Up0blPYS', 'TN0NGU98MIG8wno/', null, null, null, null, '1542868432', null, '1', 'BAGIAN EKONOMI', '', null, '0', '0', 'avatar_default.png', null, '32', null, null, null, '11'); INSERT INTO `alus_u` VALUES ('97', 'BAGIAN HUKUM', 'BAGIAN HUKUM', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnmJSd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$HJ.ljNJqV8BIxOkT3VylXO97.FOwzh6DWJ5ldDUR8ZZUX.fClZhf.', 'LCYj.c2Mya1PSnl5', null, null, null, null, '1542868440', null, '1', 'BAGIAN HUKUM', null, null, '0', '0', 'avatar_default.png', null, '33', null, null, null, null); INSERT INTO `alus_u` VALUES ('98', 'BAGIAN HUMAS DAN PROTOKOL', 'BAGIAN HUMAS DAN PROTOKOL', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnmIid40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$/1AvCTjQiRedBsTzc/aqBuVhIatGD2p13541Emx2CZoDXyP/r186u', 'AUWGK58J0Gjbr6KO', null, null, null, null, '1542868447', null, '1', 'BAGIAN HUMAS DAN PROTOKOL', null, null, '0', '0', 'avatar_default.png', null, '34', null, null, null, null); INSERT INTO `alus_u` VALUES ('99', 'INSPEKTORAT', 'INSPEKTORAT', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnmIyd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$WlqpnJ6EwAHs.PJ0q9deoOQa88T3pLVyqHoFZnoxPEYKuNEc6Vmay', 'pIYTiZ3kZYZ8h8hf', null, null, null, null, '1542868455', null, '1', 'INSPEKTORAT', null, null, '0', '0', 'avatar_default.png', null, '35', null, null, null, null); INSERT INTO `alus_u` VALUES ('100', 'SEKRETARIAT KORPRI', 'SEKRETARIAT KORPRI', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnmICd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$Aotlhss7LXzzizLSL4MoPuaX5PkO7NfMb3h4fzYHAJZXcU.0BUjZS', 'swwMvJxq5GGKALBC', null, null, null, null, '1542868463', null, '1', 'SEKRETARIAT KORPRI', null, null, '0', '0', 'avatar_default.png', null, '36', null, null, null, null); INSERT INTO `alus_u` VALUES ('101', 'DINAS PERPUSTAKAAN DAN KEARSIPAN DAERAH', 'DINAS PERPUSTAKAAN DAN KEARSIPAN DAERAH', 'MTI<KEY>', '::1', '$2y$08$Jy9lXjAxawk6aUrrVtXjQelD9LHDDMCfAfK9ac5Kera2d5FK9hiLS', 'WYp8BxWd5OaKaYDy', null, null, null, null, '1542868469', '1551275562', '1', 'DINAS PERPUSTAKAAN DAN KEARSIPAN DAERAH', null, null, '0', '0', 'avatar_default.png', null, '37', null, null, null, null); INSERT INTO `alus_u` VALUES ('102', 'BADAN PENGELOLA KEUANGAN DAERAH', 'BADAN PENGELOLA KEUANGAN DAERAH', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnmLid40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$ZS6h33lajAZAOkY.DO5.TupwYP.TzxylIA6plz1Tts5zd1aJhZ2tm', '74VeV4Lv8XixiIHJ', null, null, null, null, '1542868476', null, '1', 'BADAN PENGELOLA KEUANGAN DAERAH', '', null, '0', '0', 'avatar_default.png', null, '38', null, null, null, null); INSERT INTO `alus_u` VALUES ('104', 'DINAS KESEHATAN, PENGENDALIAN PENDUDUK DAN KELUARGA BERENCANA', 'DINAS KESEHATAN, PENGENDALIAN PENDUDUK DAN KELUARG', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnhJid40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$R/H2SKoGU.RC1DI5SjDvBOH82iWrv1yhuioerd1LmX39LhCQ2XlF6', '5K3KZUZQS.ym0VPj', null, null, null, null, '1542868525', null, '1', 'DINAS KESEHATAN, PENGENDALIAN PENDUDUK DAN KELUARG', null, null, '0', '0', 'avatar_default.png', null, '39', null, null, null, null); INSERT INTO `alus_u` VALUES ('105', 'BADAN PENANGGULANGAN BENCANA DAERAH', 'BADAN PENANGGULANGAN BENCANA DAERAH', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnhJyd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$KtxQ9aH0ZcBayXqIuBJfxuc6cBtSmgQJx8R6vk6pdtl2Jy8n..csm', 'SXX0oB7pWW5UoneL', null, null, null, null, '1542868531', null, '1', 'BADAN PENANGGULANGAN BENCANA DAERAH', null, null, '0', '0', 'avatar_default.png', null, '40', null, null, null, null); INSERT INTO `alus_u` VALUES ('106', 'BAGIAN UMUM', 'BAGIAN UMUM', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnhJCd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$IB9xLxRK8sK4woRk1EU0Y.kZLPcUPoGag40tmp3Qd8kSR4NQvLyTC', 'PVIY9d4vxslZlxfG', null, null, null, null, '1542868538', null, '1', 'BAGIAN UMUM', null, null, '0', '0', 'avatar_default.png', null, '41', null, null, null, null); INSERT INTO `alus_u` VALUES ('107', 'KECAMATAN MENTARANG', 'KECAMATAN MENTARANG', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnhJSd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$iW5Ns.EpVPu2v5x5oSBi3e1s4rpwaLk1.SzrYGaqzXgl5Qu1Jdlgq', 'eWYHreUlwLuY/UQa', null, null, null, null, '1542868549', null, '1', 'KECAMATAN MENTARANG', null, null, '0', '0', 'avatar_default.png', null, '42', null, null, null, null); INSERT INTO `alus_u` VALUES ('108', 'KECAMATAN MALINAU UTARA', 'KECAMATAN MALINAU UTARA', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnhIid40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$AWWhTSH7ooH2Iq07QkbJg.Q5SCCrcg/XwkpE7JYG9Gd65YTrWeLkW', 'dOHgt9xCDrpnnsyR', null, null, null, null, '1542868556', null, '1', 'KECAMATAN MALINAU UTARA', null, null, '0', '0', 'avatar_default.png', null, '43', null, null, null, null); INSERT INTO `alus_u` VALUES ('109', 'KECAMATAN SUNGAI BOH', 'KECAMATAN SUNGAI BOH', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnhIyd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$pfZT3o.nSaQt.9QwtuG8BuivORQ1FSz9zalR9abKgAejACm0B8TgK', 'kTlvINYpqur.6i5u', null, null, null, null, '1542868565', null, '1', 'KECAMATAN SUNGAI BOH', null, null, '0', '0', 'avatar_default.png', null, '44', null, null, null, null); INSERT INTO `alus_u` VALUES ('110', 'KECAMATAN BAHAU HULU', 'KECAMATAN BAHAU HULU', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnhICd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$IvXDeLYUz.LP5BB.OjmKk.IVoRZ6gD4deykrN0UoMsbPK6InGLk5C', 'sVkZXp038wloNSoU', null, null, null, null, '1542868583', null, '1', 'KECAMATAN BAHAU HULU', null, null, '0', '0', 'avatar_default.png', null, '45', null, null, null, null); INSERT INTO `alus_u` VALUES ('111', 'KECAMATAN MALINAU BARAT', 'KECAMATAN MALINAU BARAT', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnhIS<KEY>', '::1', <PASSWORD>', 'cSrBKWYww3v2iKFh', null, null, null, null, '1542868591', null, '1', 'KECAMATAN MALINAU BARAT', null, null, '0', '0', 'avatar_default.png', null, '46', null, null, null, null); INSERT INTO `alus_u` VALUES ('112', 'KECAMATAN MALINAU SELATAN', 'KECAMATAN MALINAU SELATAN', 'M<KEY>', '::1', <PASSWORD>', 'Kf7Uy0PttuWeiJCt', null, null, null, null, '1542868599', null, '1', 'KECAMATAN MALINAU SELATAN', null, null, '0', '0', 'avatar_default.png', null, '47', null, null, null, null); INSERT INTO `alus_u` VALUES ('113', 'KECAMATAN MENTARANG HULU', 'KECAMATAN MENTARANG HULU', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPnhLyd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$RHAptJ3iHUpA2jZF42mMz.uE.8ESrJjm4U0osA90GreZCSyg//jVK', 'x9o48pPoBaYKvCfy', null, null, null, null, '1542868609', null, '1', 'KECAMATAN MENTARANG HULU', null, null, '0', '0', 'avatar_default.png', null, '48', null, null, null, null); INSERT INTO `alus_u` VALUES ('114', 'KECAMATAN PUJUNGAN', 'KECAMATAN PUJUNGAN', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPngJid40T/JeVoa3Wkpz4Sj', ' ', '$2y$08$GZ5ZLGrz8hD14lHfI1FCZe8mjNMK62qzYxNDCbkU1b/JLk7JvSebi', 't4J7xSm.XOc3AAPZ', null, null, null, null, '1542868617', null, '1', 'KECAMATAN PUJUNGAN', null, null, '0', '0', 'avatar_default.png', null, '49', null, null, null, null); INSERT INTO `alus_u` VALUES ('115', 'KECAMATAN KAYAN HILIR', 'KECAMATAN KAYAN HILIR', 'MTIzNDU2Nzg5MDEyMzQ1Nvqvv5U+lPngJyd40T/JeVoa3Wkpz4Sj', '::1', '$2y$08$7a5zc37Kx0NWBi2FvfFMheQ8k1tquwmgtpLe8GjLZxBJ5EeF/Krme', 'jIHOJM2UcRmSEklK', null, null, null, null, '1542868625', null, '1', 'KECAMATAN KAYAN HILIR', null, null, '0', '0', 'avatar_default.png', null, '50', null, null, null, null); INSERT INTO `alus_u` VALUES ('116', 'KECAMATAN KAYAN SELATAN', 'KECAMATAN KAYAN SELATAN', '<KEY>', '::1', '$2y$08$yZk0.afzayg9f/p82OfdkOOV8pKXefAoQKKwstppRdLLUBg7ZK2Cm', 'A.rcO02QCognqnL3', null, null, null, null, '1542868633', null, '1', 'KECAMATAN KAYAN SELATAN', null, null, '0', '0', 'avatar_default.png', null, '51', null, null, null, null); INSERT INTO `alus_u` VALUES ('117', 'KECAMATAN SUNGAI TUBU', 'KECAMATAN SUNGAI TUBU', '<KEY>', '::1', '$2y$08$xnnKZRlHPnMFktMj6bS1N.zMVpi.b.9CZLdjKMFxgbJVPy9xZC7na', 'GqQ/ZSi/6l3u.lJP', null, null, null, null, '1542868640', null, '1', 'KECAMATAN SUNGAI TUBU', null, null, '0', '0', 'avatar_default.png', null, '52', null, null, null, null); 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CREATE TABLE `sys_codes` ( `srn_id` int(11) NOT NULL AUTO_INCREMENT, `srn_code` varchar(50) DEFAULT NULL, `srn_value` int(11) DEFAULT NULL, `srn_length` int(11) DEFAULT '5', `srn_format` varchar(50) DEFAULT NULL, `srn_year` int(11) DEFAULT NULL, `srn_month` int(11) DEFAULT NULL, `srn_reset_by` varchar(20) DEFAULT 'NONE', PRIMARY KEY (`srn_id`) ) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8; -- ---------------------------- -- Records of sys_codes -- ---------------------------- INSERT INTO `sys_codes` VALUES ('1', 'SN-IDTOKO', '52', '5', '{VALUE}', '2017', '1', 'YEAR'); -- ---------------------------- -- Table structure for t_user_endpoint -- ---------------------------- DROP TABLE IF EXISTS `t_user_endpoint`; CREATE TABLE `t_user_endpoint` ( `tue_id` int(22) NOT NULL AUTO_INCREMENT, `tue_ip` varchar(75) NOT NULL, `tue_id_login` varchar(11) DEFAULT '0', `tue_endpoint` longtext, PRIMARY KEY (`tue_id`) ) ENGINE=InnoDB AUTO_INCREMENT=13 DEFAULT CHARSET=latin1; -- ---------------------------- -- Records of t_user_endpoint -- ---------------------------- INSERT INTO `t_user_endpoint` VALUES ('9', '8926d376-9656-4942-82a0-145ce3262eb9', '0', '{\"endpoint\":\"https://fcm.googleapis.com/fcm/send/dlrfzTlwERY:<KEY>\",\"expirationTime\":null,\"keys\":{\"<KEY>BCJdHlOxkhZjXXXQJZ1EprYpw-rP9Kb6y5p4glVB6ZB51UN3Uol-_w5KtpXv82ZkNKgX5EU6WrVyjeDRKKlaMUs\",\"auth\":\"<KEY>}}'); 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-- -- PostgreSQL database dump -- -- Dumped from database version 10.5 -- Dumped by pg_dump version 10.5 SET statement_timeout = 0; SET lock_timeout = 0; SET idle_in_transaction_session_timeout = 0; SET client_encoding = 'UTF8'; SET standard_conforming_strings = on; SELECT pg_catalog.set_config('search_path', '', false); SET check_function_bodies = false; SET client_min_messages = warning; SET row_security = off; -- -- Name: plpgsql; Type: EXTENSION; Schema: -; Owner: -- CREATE EXTENSION IF NOT EXISTS plpgsql WITH SCHEMA pg_catalog; -- -- Name: EXTENSION plpgsql; Type: COMMENT; Schema: -; Owner: -- COMMENT ON EXTENSION plpgsql IS 'PL/pgSQL procedural language'; SET default_tablespace = ''; SET default_with_oids = false; -- -- Name: movies; Type: TABLE; Schema: public; Owner: postgres -- CREATE TABLE public.movies ( id uuid NOT NULL, poster character varying NOT NULL, synopsis character varying NOT NULL, slug character varying NOT NULL, title character varying NOT NULL, release_date timestamp with time zone NOT NULL ); ALTER TABLE public.movies OWNER TO postgres; -- -- Name: reviews; Type: TABLE; Schema: public; Owner: postgres -- CREATE TABLE public.reviews ( id uuid NOT NULL, slug character varying NOT NULL, movie_id uuid NOT NULL, body json NOT NULL ); ALTER TABLE public.reviews OWNER TO postgres; -- -- Data for Name: movies; Type: TABLE DATA; Schema: public; Owner: postgres -- COPY public.movies (id, poster, synopsis, slug, title, release_date) FROM stdin; 40f5096f-5dde-4378-aa20-ee205ae1f1d8 http://localhost:8003/5e27ffad-73d1-4ef1-9e7f-5940ce83b5c2/04160_stonehengestorm_2560x1600.jpg Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse feugiat, risus eget fringilla posuere, elit lectus bibendum elit, et commodo dolor nunc bibendum urna. Duis rhoncus odio vel ligula faucibus blandit. Nam sodales lacinia lacus, quis ullamcorper diam tempor vitae. Cras fermentum varius egestas. Donec elementum elit quis risus cursus, ut commodo mi elementum. Praesent vitae eros sit amet erat laoreet ullamcorper. In nec magna nec felis aliquet pellentesque.\n\n el-programado-en-la-terminal El programado en la terminal 2018-08-10 09:51:27-05 \. -- -- Data for Name: reviews; Type: TABLE DATA; Schema: public; Owner: postgres -- COPY public.reviews (id, slug, movie_id, body) FROM stdin; e70e38b2-c575-44ea-9c31-6b572b6aa805 el-programado-en-la-terminal 40f5096f-5dde-4378-aa20-ee205ae1f1d8 {"object": "value", "document": {"object": "document", "data": {}, "nodes": [{"object": "block", "type": "title", "data": {}, "nodes": [{"object": "text", "leaves": [{"object": "leaf", "text": "Esta es una rese\\u00f1a de prueba", "marks": []}]}]}, {"object": "block", "type": "body", "data": {}, "nodes": [{"object": "block", "type": "paragraph", "data": {}, "nodes": [{"object": "text", "leaves": [{"object": "leaf", "text": "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse feugiat, risus eget fringilla posuere, elit lectus bibendum elit, et commodo dolor nunc bibendum urna. Duis rhoncus odio vel ligula faucibus blandit. Nam sodales lacinia lacus, quis ullamcorper diam tempor vitae. Cras fermentum varius egestas. Donec elementum elit quis risus cursus, ut commodo mi elementum. Praesent vitae eros sit amet erat laoreet ullamcorper. In nec magna nec felis aliquet pellentesque.", "marks": []}]}]}, {"object": "block", "type": "paragraph", "data": {}, "nodes": [{"object": "text", "leaves": [{"object": "leaf", "text": "Suspendisse malesuada luctus tellus, tempor sollicitudin turpis consequat eget. Proin sagittis facilisis efficitur. Sed in tincidunt libero, ac faucibus tellus. Donec at lacus iaculis, accumsan mauris sit amet, malesuada magna. Ut euismod nunc vitae luctus rutrum. Vivamus facilisis leo eget quam laoreet sodales. Donec malesuada, enim eu consectetur consequat, nisi enim vestibulum leo, ac vulputate mauris augue vitae orci. In hac habitasse platea dictumst. Cras leo enim, pellentesque vitae fermentum quis, sollicitudin sed metus. In mattis faucibus bibendum. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Cras tempor ullamcorper leo eu fringilla. Sed ultricies tristique eros, a gravida est malesuada at. Nullam at tortor lorem. Integer neque est, sodales id euismod eget, egestas ut risus. Aenean id laoreet purus.", "marks": []}]}]}, {"object": "block", "type": "paragraph", "data": {}, "nodes": [{"object": "text", "leaves": [{"object": "leaf", "text": "Aenean ut leo mauris. Pellentesque laoreet elementum laoreet. Curabitur ex orci, efficitur a accumsan ac, luctus ac erat. Curabitur imperdiet dui at ante gravida mattis quis vitae justo. Suspendisse nec porta ipsum, id facilisis massa. Vestibulum in tincidunt ipsum, id viverra urna. Curabitur dapibus urna a porttitor ultricies. Praesent id ornare orci. Mauris nulla massa, lobortis id mattis ac, aliquet vel velit. Sed dignissim ipsum sapien, sed venenatis justo placerat eget. Suspendisse ac eros ultrices, iaculis justo eget, pretium turpis. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas.", "marks": []}]}]}, {"object": "block", "type": "paragraph", "data": {}, "nodes": [{"object": "text", "leaves": [{"object": "leaf", "text": "Vestibulum sed fringilla mauris. Praesent ut lacus libero. Donec sit amet facilisis mi. Vivamus eu purus quam. Vivamus mattis sollicitudin risus, dapibus euismod orci tempus et. Maecenas maximus interdum felis, a viverra neque placerat eget. Cras nunc orci, iaculis at metus facilisis, venenatis pellentesque libero. Proin vitae efficitur diam. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Praesent gravida est mattis blandit euismod. Integer aliquet tristique metus, eu placerat est molestie vitae. Fusce sed consequat eros. Curabitur nec faucibus urna.", "marks": []}]}]}, {"object": "block", "type": "paragraph", "data": {}, "nodes": [{"object": "text", "leaves": [{"object": "leaf", "text": "Morbi faucibus mollis eros, ac viverra justo. Cras faucibus erat eget velit imperdiet, sed accumsan magna ornare. Ut luctus cursus est, sit amet porttitor dui vulputate in. Donec condimentum mauris est, et placerat diam suscipit sed. Nam placerat luctus purus, at commodo quam. Curabitur venenatis efficitur ultricies. Vestibulum quis sem quam. Sed blandit leo sollicitudin sapien porta malesuada. Suspendisse mollis aliquam sollicitudin. Nullam elit lacus, porttitor a rhoncus sit amet, ullamcorper id augue. Phasellus sed risus vehicula nisl facilisis elementum in volutpat nisl. Aenean pellentesque a lacus eu venenatis. Vestibulum sodales vestibulum pulvinar. Mauris dapibus in felis a accumsan.", "marks": []}]}]}, {"object": "block", "type": "paragraph", "data": {}, "nodes": [{"object": "text", "leaves": [{"object": "leaf", "text": "", "marks": []}]}]}, {"object": "block", "type": "paragraph", "data": {}, "nodes": [{"object": "text", "leaves": [{"object": "leaf", "text": "", "marks": []}]}]}, {"object": "block", "type": "paragraph", "data": {}, "nodes": [{"object": "text", "leaves": [{"object": "leaf", "text": "", "marks": []}]}]}]}]}} \. -- -- Name: movies movies_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres -- ALTER TABLE ONLY public.movies ADD CONSTRAINT movies_pkey PRIMARY KEY (id); -- -- Name: movies movies_slug_key; Type: CONSTRAINT; Schema: public; Owner: postgres -- ALTER TABLE ONLY public.movies ADD CONSTRAINT movies_slug_key UNIQUE (slug); -- -- Name: movies movies_title_key; Type: CONSTRAINT; Schema: public; Owner: postgres -- ALTER TABLE ONLY public.movies ADD CONSTRAINT movies_title_key UNIQUE (title); -- -- Name: reviews reviews_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres -- ALTER TABLE ONLY public.reviews ADD CONSTRAINT reviews_pkey PRIMARY KEY (id); -- -- Name: reviews reviews_slug_key; Type: CONSTRAINT; Schema: public; Owner: postgres -- ALTER TABLE ONLY public.reviews ADD CONSTRAINT reviews_slug_key UNIQUE (slug); -- -- Name: reviews reviews_movie_id_fkey; Type: FK CONSTRAINT; Schema: public; Owner: postgres -- ALTER TABLE ONLY public.reviews ADD CONSTRAINT reviews_movie_id_fkey FOREIGN KEY (movie_id) REFERENCES public.movies(id); -- -- PostgreSQL database dump complete --
<filename>studentsdemo.sql SET client_encoding = 'UTF8'; SET client_min_messages = warning; DROP DATABASE IF EXISTS "studentsdemo"; CREATE DATABASE "studentsdemo" WITH ENCODING = 'UTF8'; \c "studentsdemo" SET client_encoding = 'UTF8'; SET client_min_messages = warning; -- -- examinations -- CREATE TABLE examinations ( id integer NOT NULL, subject_id smallint, semester_id smallint ); CREATE SEQUENCE examinations_id_seq START WITH 1 INCREMENT BY 1 NO MINVALUE NO MAXVALUE CACHE 1; ALTER SEQUENCE examinations_id_seq OWNED BY examinations.id; ALTER TABLE ONLY examinations ALTER COLUMN id SET DEFAULT nextval('examinations_id_seq'::regclass); COPY examinations (id, subject_id, semester_id) FROM stdin; 1 1 2 2 2 2 3 4 2 4 5 2 5 6 2 6 1 3 7 2 3 8 5 3 9 6 3 10 3 3 \. SELECT pg_catalog.setval('examinations_id_seq', 10, true); -- -- groups -- CREATE TABLE groups ( id smallint NOT NULL, number integer, steward_id integer ); CREATE SEQUENCE groups_id_seq START WITH 1 INCREMENT BY 1 NO MINVALUE NO MAXVALUE CACHE 1; ALTER SEQUENCE groups_id_seq OWNED BY groups.id; ALTER TABLE ONLY groups ALTER COLUMN id SET DEFAULT nextval('groups_id_seq'::regclass); COPY groups (id, number, steward_id) FROM stdin; 1 201 \N 2 202 \N 3 203 \N 4 204 \N 5 205 \N 6 206 \N 7 207 \N 8 208 \N 9 209 \N 10 210 \N 11 211 \N 12 212 \N \. SELECT pg_catalog.setval('groups_id_seq', 1, false); -- -- groups_examinations -- CREATE TABLE groups_examinations ( id integer NOT NULL, examination_id integer, group_id smallint, date timestamp without time zone ); CREATE SEQUENCE groups_examinations_id_seq START WITH 1 INCREMENT BY 1 NO MINVALUE NO MAXVALUE CACHE 1; ALTER SEQUENCE groups_examinations_id_seq OWNED BY groups_examinations.id; ALTER TABLE ONLY groups_examinations ALTER COLUMN id SET DEFAULT nextval('groups_examinations_id_seq'::regclass); COPY groups_examinations (id, examination_id, group_id, date) FROM stdin; 17 9 3 2016-01-23 14:00:00 18 9 4 2016-01-14 10:00:00 19 7 3 2016-01-17 10:00:00 20 7 4 2016-01-28 10:00:00 21 9 1 2016-01-24 14:00:00 22 9 2 2016-01-12 14:00:00 23 7 1 2016-01-25 10:00:00 24 7 2 2016-01-17 10:00:00 25 6 1 2016-01-22 10:00:00 26 6 2 2016-01-19 10:00:00 27 8 1 2016-01-30 14:00:00 28 8 2 2016-01-12 14:00:00 29 8 3 2016-01-16 10:00:00 30 8 4 2016-01-21 10:00:00 31 10 3 2016-01-18 10:00:00 32 10 4 2016-01-27 10:00:00 1 1 3 2015-06-18 10:00:00 2 1 4 2015-06-09 10:00:00 3 2 3 2015-06-04 10:00:00 4 2 4 2015-06-09 14:00:00 5 1 1 2015-06-20 10:00:00 6 1 2 2015-06-09 14:00:00 7 2 1 2015-06-21 14:00:00 8 2 2 2015-06-01 14:00:00 9 3 1 2015-06-02 10:00:00 10 3 2 2015-06-17 10:00:00 11 4 1 2015-06-04 14:00:00 12 4 2 2015-06-19 10:00:00 13 4 3 2015-06-06 10:00:00 14 4 4 2015-06-13 14:00:00 15 5 3 2015-06-11 10:00:00 16 5 4 2015-06-17 10:00:00 \. SELECT pg_catalog.setval('groups_examinations_id_seq', 32, true); -- -- hobbies -- CREATE TABLE hobbies ( id integer NOT NULL, name character varying ); COPY hobbies (id, name) FROM stdin; 4 Dancing 5 Painting 6 Traveling 7 Sleeping 8 Gaming 9 Collecting 1 Reading 2 Singing 3 Swimming 10 Photography 11 Movies 12 Music 13 Cooking \. -- -- marks -- CREATE TABLE marks ( id bigint NOT NULL, student_id integer, group_examination_id integer, mark smallint, date timestamp without time zone ); CREATE SEQUENCE marks_id_seq START WITH 1 INCREMENT BY 1 NO MINVALUE NO MAXVALUE CACHE 1; ALTER SEQUENCE marks_id_seq OWNED BY marks.id; ALTER TABLE ONLY marks ALTER COLUMN id SET DEFAULT nextval('marks_id_seq'::regclass); COPY marks (id, student_id, group_examination_id, mark, date) FROM stdin; 1 75 1 4 2015-06-18 12:03:00 2 10 2 5 2015-06-09 11:04:00 3 8 2 4 2015-06-09 13:49:00 4 6 2 4 2015-06-09 11:09:00 5 4 2 4 2015-06-09 10:55:00 6 2 2 5 2015-06-09 11:07:00 7 1 2 4 2015-06-09 12:24:00 8 5 2 4 2015-06-09 12:27:00 9 9 2 3 2015-06-09 11:20:00 10 7 2 5 2015-06-09 10:54:00 11 3 2 5 2015-06-09 13:30:00 13 10 4 4 2015-06-09 16:30:00 15 6 4 4 2015-06-09 15:40:00 16 4 4 4 2015-06-09 14:09:00 18 1 4 4 2015-06-09 16:15:00 19 5 4 3 2015-06-09 17:26:00 20 9 4 5 2015-06-09 16:00:00 21 7 4 3 2015-06-09 16:44:00 22 3 4 5 2015-06-09 15:59:00 23 34 5 4 2015-06-20 11:45:00 24 24 6 3 2015-06-09 15:57:00 25 19 6 5 2015-06-09 14:07:00 26 101 6 4 2015-06-09 16:13:00 27 34 7 5 2015-06-21 17:21:00 28 24 8 4 2015-06-01 16:31:00 29 19 8 4 2015-06-01 17:03:00 30 101 8 5 2015-06-01 14:18:00 31 34 9 3 2015-06-02 10:59:00 32 24 10 3 2015-06-17 10:26:00 33 19 10 4 2015-06-17 11:40:00 34 101 10 4 2015-06-17 12:26:00 35 34 11 4 2015-06-04 16:05:00 37 19 12 3 2015-06-19 13:33:00 38 101 12 5 2015-06-19 11:56:00 40 10 14 5 2015-06-13 14:23:00 41 8 14 5 2015-06-13 16:44:00 43 4 14 4 2015-06-13 14:17:00 44 2 14 4 2015-06-13 17:57:00 45 1 14 5 2015-06-13 16:00:00 46 5 14 3 2015-06-13 14:03:00 48 7 14 3 2015-06-13 14:48:00 49 3 14 4 2015-06-13 17:10:00 50 75 15 5 2015-06-11 13:28:00 51 10 16 4 2015-06-17 13:41:00 52 8 16 3 2015-06-17 12:03:00 53 6 16 5 2015-06-17 10:20:00 54 4 16 5 2015-06-17 10:32:00 55 2 16 3 2015-06-17 13:52:00 56 1 16 3 2015-06-17 10:09:00 57 5 16 4 2015-06-17 13:31:00 58 9 16 5 2015-06-17 10:41:00 59 7 16 5 2015-06-17 11:51:00 60 3 16 3 2015-06-17 13:08:00 12 75 3 2 2015-06-04 13:28:00 14 8 4 2 2015-06-09 15:23:00 36 24 12 2 2015-06-19 11:27:00 39 75 13 2 2015-06-06 13:51:00 47 9 14 2 2015-06-13 14:42:00 17 2 4 \N 2015-06-09 14:49:00 42 6 14 \N 2015-06-13 17:36:00 61 75 3 4 2015-06-24 10:29:00 62 8 4 3 2015-06-24 10:30:00 63 24 12 3 2015-06-24 10:12:00 65 9 14 3 2015-06-24 10:52:00 66 2 4 4 2015-06-24 10:56:00 67 6 14 4 2015-06-24 10:54:00 64 75 13 \N 2015-06-24 10:34:00 68 75 13 4 2015-06-26 10:31:00 69 75 17 4 2016-01-23 16:14:00 70 10 18 3 2016-01-14 11:46:00 71 8 18 3 2016-01-14 10:01:00 72 6 18 2 2016-01-14 11:08:00 73 4 18 3 2016-01-14 12:06:00 74 2 18 2 2016-01-14 10:48:00 75 1 18 4 2016-01-14 12:09:00 76 5 18 3 2016-01-14 10:58:00 77 9 18 3 2016-01-14 12:51:00 79 3 18 4 2016-01-14 10:19:00 80 75 19 2 2016-01-17 12:46:00 81 34 21 5 2016-01-24 14:50:00 82 24 22 3 2016-01-12 17:23:00 83 19 22 4 2016-01-12 16:57:00 84 101 22 5 2016-01-12 14:31:00 85 34 23 3 2016-01-25 10:28:00 86 24 24 4 2016-01-17 12:06:00 87 19 24 2 2016-01-17 12:58:00 88 101 24 4 2016-01-17 12:28:00 89 34 25 3 2016-01-22 13:25:00 90 24 26 4 2016-01-19 13:23:00 91 19 26 3 2016-01-19 10:32:00 93 24 28 5 2016-01-12 14:29:00 94 19 28 5 2016-01-12 15:45:00 95 101 28 3 2016-01-12 14:37:00 97 10 30 3 2016-01-21 11:38:00 98 8 30 2 2016-01-21 13:40:00 99 6 30 2 2016-01-21 13:30:00 100 4 30 2 2016-01-21 11:46:00 101 2 30 5 2016-01-21 12:29:00 102 1 30 5 2016-01-21 10:28:00 103 5 30 3 2016-01-21 13:06:00 104 9 30 4 2016-01-21 12:31:00 105 7 30 4 2016-01-21 12:12:00 106 3 30 3 2016-01-21 10:05:00 107 75 31 4 2016-01-18 12:15:00 108 3 32 \N \N 109 3 20 \N \N 110 7 32 \N \N 111 7 20 \N \N 112 9 32 \N \N 113 9 20 \N \N 114 5 32 \N \N 115 5 20 \N \N 116 1 32 \N \N 117 1 20 \N \N 118 2 32 \N \N 119 2 20 \N \N 120 4 32 \N \N 121 4 20 \N \N 122 6 32 \N \N 123 6 20 \N \N 124 8 32 \N \N 125 8 20 \N \N 126 34 27 \N \N 127 10 32 \N \N 128 10 20 \N \N 78 7 18 \N 2016-01-14 10:50:00 92 101 26 \N 2016-01-19 13:09:00 96 75 29 \N 2016-01-16 10:46:00 129 6 18 3 2016-01-26 10:32:00 130 2 18 2 2016-01-26 10:51:00 132 19 24 3 2016-01-26 10:55:00 133 8 30 4 2016-01-26 10:33:00 134 6 30 3 2016-01-26 10:13:00 135 4 30 3 2016-01-26 10:58:00 136 7 18 3 2016-01-26 10:04:00 137 101 26 3 2016-01-26 10:21:00 138 75 29 4 2016-01-26 10:53:00 131 75 19 \N 2016-01-26 10:13:00 139 75 19 \N \N \. SELECT pg_catalog.setval('marks_id_seq', 139, true); -- -- semesters -- CREATE TABLE semesters ( id smallint NOT NULL ); COPY semesters (id) FROM stdin; 1 2 3 4 5 6 7 8 \. -- -- students -- CREATE TABLE students ( id integer NOT NULL, lastname character varying(80), firstname character varying(80), group_id integer, sex character varying(6) ); CREATE SEQUENCE students_id_seq START WITH 1 INCREMENT BY 1 NO MINVALUE NO MAXVALUE CACHE 1; ALTER TABLE ONLY students ALTER COLUMN id SET DEFAULT nextval('students_id_seq'::regclass); COPY students (id, lastname, firstname, group_id, sex) FROM stdin; 3 Korolev Konstantin 4 male 7 Maylatova Ekaterina 4 male 9 Khaliullina Liya 4 male 101 Kaplun Igor 2 male 19 Pomazkova Galina 2 male 75 Ustinova Svetlana 3 male 5 Levdic Veronica 4 male 1 Kiriluk Anton 4 male 2 Koreshkova Natalya 4 female 4 Le Ian 4 female 6 Logosha Elizaveta 4 female 8 Prokhorenko Philipp 4 female 24 Livotova Wassilisa 2 female 34 Logachev Mikhail 1 female 172 Shulga Valentin \N female 78 Avdeenko Dmitrii \N female 10 Vlad Andrei 4 female \. SELECT pg_catalog.setval('students_id_seq', 172, false); -- -- students_hobbies_relations -- CREATE TABLE students_hobbies_relations ( students_id integer NOT NULL, hobbies_id integer NOT NULL ); -- -- subjects -- CREATE TABLE subjects ( id smallint NOT NULL, name character varying(80) ); CREATE SEQUENCE subjects_id_seq START WITH 1 INCREMENT BY 1 NO MINVALUE NO MAXVALUE CACHE 1; ALTER SEQUENCE subjects_id_seq OWNED BY subjects.id; ALTER TABLE ONLY subjects ALTER COLUMN id SET DEFAULT nextval('subjects_id_seq'::regclass); COPY subjects (id, name) FROM stdin; 1 mathematical analysis 2 higher mathematics 3 differential equations 4 physical culture 5 databases and network technologies 6 programming technology \. SELECT pg_catalog.setval('subjects_id_seq', 6, true); -- -- CONSTRAINTS -- ALTER TABLE ONLY examinations ADD CONSTRAINT examinations_pkey PRIMARY KEY (id); ALTER TABLE ONLY groups_examinations ADD CONSTRAINT groups_examinations_pkey PRIMARY KEY (id); ALTER TABLE ONLY groups ADD CONSTRAINT groups_pkey PRIMARY KEY (id); ALTER TABLE ONLY hobbies ADD CONSTRAINT hobbies_pkey PRIMARY KEY (id); ALTER TABLE ONLY marks ADD CONSTRAINT marks_pkey PRIMARY KEY (id); ALTER TABLE ONLY semesters ADD CONSTRAINT semesters_pkey PRIMARY KEY (id); ALTER TABLE ONLY students_hobbies_relations ADD CONSTRAINT students_hobbies_relations_pkey PRIMARY KEY (students_id, hobbies_id); ALTER TABLE ONLY students ADD CONSTRAINT students_pkey PRIMARY KEY (id); ALTER TABLE ONLY subjects ADD CONSTRAINT subjects_pkey PRIMARY KEY (id); ALTER TABLE ONLY students ADD CONSTRAINT students_group_id_fkey FOREIGN KEY (group_id) REFERENCES groups(id) ON UPDATE RESTRICT ON DELETE RESTRICT;
-- MySQL Script generated by MySQL Workbench -- Παρ 12 Ιαν 2018 08:31:26 μμ EET -- Model: New Model Version: 1.0 -- MySQL Workbench Forward Engineering SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0; SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0; SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='TRADITIONAL,ALLOW_INVALID_DATES'; -- ----------------------------------------------------- -- Schema -- ----------------------------------------------------- -- ----------------------------------------------------- -- Schema sdi1400058 -- ----------------------------------------------------- CREATE SCHEMA IF NOT EXISTS `sdi1400058` DEFAULT CHARACTER SET utf8 ; USE `sdi1400058` ; -- ----------------------------------------------------- -- Table `sdi1400058`.`user` -- ----------------------------------------------------- CREATE TABLE IF NOT EXISTS `sdi1400058`.`user` ( `UserID` INT NOT NULL AUTO_INCREMENT, `FirstName` VARCHAR(45) NOT NULL, `LastName` VARCHAR(45) NOT NULL, `FathersName` VARCHAR(45) NOT NULL, `MothersName` VARCHAR(45) NOT NULL, `DateOfBirth` DATE NOT NULL, `BirthPlace` VARCHAR(45) NOT NULL, `HomeAddress` VARCHAR(45) NOT NULL, `PostalCode` VARCHAR(45) NOT NULL, `AFM` VARCHAR(45) NOT NULL, `IDNumber` VARCHAR(45) NOT NULL, `PhoneNumber` VARCHAR(45) NOT NULL, `Email` VARCHAR(45) NOT NULL, `Password` VARCHAR(45) NOT NULL, `IsFemale` TINYINT(1) NOT NULL DEFAULT 0, PRIMARY KEY (`UserID`), UNIQUE INDEX `Email_UNIQUE` (`Email` ASC), UNIQUE INDEX `AFM_UNIQUE` (`AFM` ASC), UNIQUE INDEX `IDNumber_UNIQUE` (`IDNumber` ASC)) ENGINE = InnoDB; -- ----------------------------------------------------- -- Table `sdi1400058`.`settings` -- ----------------------------------------------------- CREATE TABLE IF NOT EXISTS `sdi1400058`.`settings` ( `user_UserID` INT NOT NULL, `NotificationsOn` TINYINT(1) NOT NULL DEFAULT 1, `UpdatesOn` TINYINT(1) NOT NULL DEFAULT 0, `HistoryOn` TINYINT(1) NOT NULL DEFAULT 1, `AutoCompleteOn` TINYINT(1) NOT NULL DEFAULT 1, `MicrophoneOn` TINYINT(1) NOT NULL DEFAULT 0, `ZoomingOn` TINYINT(1) NOT NULL DEFAULT 0, `VocalGuidanceOn` TINYINT(1) NOT NULL DEFAULT 0, INDEX `fk_settings_user_idx` (`user_UserID` ASC), CONSTRAINT `fk_settings_user` FOREIGN KEY (`user_UserID`) REFERENCES `sdi1400058`.`user` (`UserID`) ON DELETE NO ACTION ON UPDATE NO ACTION) ENGINE = InnoDB; -- ----------------------------------------------------- -- Table `sdi1400058`.`information` -- ----------------------------------------------------- CREATE TABLE IF NOT EXISTS `sdi1400058`.`information` ( `user_UserID` INT NOT NULL, `YearsInsured` INT NOT NULL DEFAULT 0, `YearsEmployed` INT NOT NULL DEFAULT 0, `StampsCollected` INT NOT NULL DEFAULT 0, `AvgYearlySalary` INT NOT NULL DEFAULT 0, `InsuredChildren` INT NOT NULL DEFAULT 0, `IsRetired` TINYINT(1) NOT NULL DEFAULT 0, `YearlyPension` INT NOT NULL DEFAULT 0, `PensionType` VARCHAR(45) NOT NULL DEFAULT 'Old age', `IsDisabled` TINYINT(1) NOT NULL DEFAULT 0, `DisabilityReason` VARCHAR(45) NOT NULL DEFAULT 'Accident', INDEX `fk_table1_user1_idx` (`user_UserID` ASC), CONSTRAINT `fk_table1_user1` FOREIGN KEY (`user_UserID`) REFERENCES `sdi1400058`.`user` (`UserID`) ON DELETE NO ACTION ON UPDATE NO ACTION) ENGINE = InnoDB; -- ----------------------------------------------------- -- Add sample users -- ----------------------------------------------------- LOCK TABLES `user` WRITE; INSERT INTO `user` VALUES (1,'Stavrakas','Kritikarakis','Liakouras','Tassoula','1975-04-17','Rethymno','Rakomelias 5, Rethymno','12220','750417987654','PR-1234','6900000001','<EMAIL>','giaourtikrikri',0); INSERT INTO `user` VALUES (2,'Kikitsa','Stavridou','Panagiotis','Aspasia','1950-11-10','Kalamata','Manis 19B, Argyroupoli','14010','501110987654','MN-1234','6900000002','<EMAIL>','soutzoukakiastofourno',1); INSERT INTO `user` VALUES (3,'Theopoula','Kati','Kapoios','Kapoia','1959-02-12','Kapou','Kapou 1, Allou','14011','590212987654','XY-1234','6900000002','<EMAIL>','123456789',1); UNLOCK TABLES; -- ----------------------------------------------------- -- Add sample settings -- ----------------------------------------------------- LOCK TABLES `settings` WRITE; INSERT INTO `settings` VALUES (1,0,1,0,1,0,0,0); INSERT INTO `settings` VALUES (2,1,0,1,0,0,1,0); INSERT INTO `settings` VALUES (3,1,1,1,1,0,0,1); UNLOCK TABLES; -- ----------------------------------------------------- -- Add sample information -- ----------------------------------------------------- LOCK TABLES `information` WRITE; INSERT INTO `information` VALUES (1,20,20,50,8000,3,0,0,'Old age',0,'Accident'); INSERT INTO `information` VALUES (2,40,40,80,9000,2,1,8500,'Old age',0,'Accident'); INSERT INTO `information` VALUES (3,40,35,75,10000,1,1,9000,'Old age',1,'Disease'); UNLOCK TABLES; SET SQL_MODE=@OLD_SQL_MODE; SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS; SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS;
-- Remove SP IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id (N'[dbo].[mc_OutgoingEmailServiceConfigInsert]') AND OBJECTPROPERTY(id, N'IsProcedure') = 1) DROP PROCEDURE [dbo].[mc_OutgoingEmailServiceConfigInsert] GO IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id (N'[dbo].[mc_OutgoingEmailServiceConfigUpdate]') AND OBJECTPROPERTY(id, N'IsProcedure') = 1) DROP PROCEDURE [dbo].[mc_OutgoingEmailServiceConfigUpdate] GO IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id (N'[dbo].[mc_OutgoingEmailServiceConfigDelete]') AND OBJECTPROPERTY(id, N'IsProcedure') = 1) DROP PROCEDURE [dbo].[mc_OutgoingEmailServiceConfigDelete] GO IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id (N'[dbo].[mc_OutgoingEmailServiceConfigSelect]') AND OBJECTPROPERTY(id, N'IsProcedure') = 1) DROP PROCEDURE [dbo].[mc_OutgoingEmailServiceConfigSelect] GO -- Create SP IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id (N'[dbo].[mc_OutgoingEmailServiceConfigInsert]') AND OBJECTPROPERTY(id, N'IsProcedure') = 1) DROP PROCEDURE [dbo].[mc_OutgoingEmailServiceConfigInsert] GO CREATE PROCEDURE [dbo].[mc_OutgoingEmailServiceConfigInsert] @ServiceType AS Int, @ServiceKey AS Int, @SmtpBoxId AS Int, @OutgoingEmailServiceConfigId AS Int = NULL OUTPUT AS BEGIN SET NOCOUNT ON; INSERT INTO [OutgoingEmailServiceConfig] ( [ServiceType], [ServiceKey], [SmtpBoxId]) VALUES( @ServiceType, @ServiceKey, @SmtpBoxId) SELECT @OutgoingEmailServiceConfigId = SCOPE_IDENTITY(); END GO IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id (N'[dbo].[mc_OutgoingEmailServiceConfigUpdate]') AND OBJECTPROPERTY(id, N'IsProcedure') = 1) DROP PROCEDURE [dbo].[mc_OutgoingEmailServiceConfigUpdate] GO CREATE PROCEDURE [dbo].[mc_OutgoingEmailServiceConfigUpdate] @ServiceType AS Int, @ServiceKey AS Int, @SmtpBoxId AS Int, @OutgoingEmailServiceConfigId AS Int AS BEGIN SET NOCOUNT ON; UPDATE [OutgoingEmailServiceConfig] SET [ServiceType] = @ServiceType, [ServiceKey] = @ServiceKey, [SmtpBoxId] = @SmtpBoxId WHERE [OutgoingEmailServiceConfigId] = @OutgoingEmailServiceConfigId END GO IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id (N'[dbo].[mc_OutgoingEmailServiceConfigDelete]') AND OBJECTPROPERTY(id, N'IsProcedure') = 1) DROP PROCEDURE [dbo].[mc_OutgoingEmailServiceConfigDelete] GO CREATE PROCEDURE [dbo].[mc_OutgoingEmailServiceConfigDelete] @OutgoingEmailServiceConfigId AS Int AS BEGIN SET NOCOUNT ON; DELETE FROM [OutgoingEmailServiceConfig] WHERE [OutgoingEmailServiceConfigId] = @OutgoingEmailServiceConfigId END GO IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id (N'[dbo].[mc_OutgoingEmailServiceConfigSelect]') AND OBJECTPROPERTY(id, N'IsProcedure') = 1) DROP PROCEDURE [dbo].[mc_OutgoingEmailServiceConfigSelect] GO CREATE PROCEDURE [dbo].[mc_OutgoingEmailServiceConfigSelect] @OutgoingEmailServiceConfigId AS Int AS BEGIN SET NOCOUNT ON; SELECT [t01].[OutgoingEmailServiceConfigId] AS [OutgoingEmailServiceConfigId], [t01].[ServiceType] AS [ServiceType], [t01].[ServiceKey] AS [ServiceKey], [t01].[SmtpBoxId] AS [SmtpBoxId] FROM [OutgoingEmailServiceConfig] AS [t01] WHERE ([t01].[OutgoingEmailServiceConfigId]=@OutgoingEmailServiceConfigId) END -- End
 CREATE PROCEDURE [Queue_Schema_Name].[DeleteSubscription] @subscriptionID int WITH NATIVE_COMPILATION, SCHEMABINDING, EXECUTE AS OWNER AS BEGIN ATOMIC WITH (TRANSACTION ISOLATION LEVEL = SNAPSHOT, LANGUAGE = N'us_english') delete from [Queue_Schema_Name].[Subscription] where ID = @subscriptionID END
-- file:rules.sql ln:651 expect:true CREATE TABLE shoelace_ok ( ok_name char(10), ok_quant integer )
<reponame>svetasmirnova/mysqlcookbook # marathon.sql # marathon table: each record indicates distance and time-to-run for # each stage of marathon for a hypothetical runner DROP TABLE IF EXISTS marathon; #@ _CREATE_TABLE_ CREATE TABLE marathon ( stage INT UNSIGNED NOT NULL AUTO_INCREMENT, km INT UNSIGNED NOT NULL, # length of stage, in km t TIME NOT NULL, # elapsed time for stage PRIMARY KEY (stage) ); #@ _CREATE_TABLE_ INSERT INTO marathon (km, t) VALUES (5,'00:15:00'), (7,'00:19:30'), (9,'00:29:20'), (5,'00:17:50') ; SELECT stage, km, t, km/(TIME_TO_SEC(t)/(60*60)) AS 'km/hour' FROM marathon ORDER BY stage; # Compute cumulative distance at each stage SELECT t1.stage, t1.km, SUM(t2.km) AS 'cum. km' FROM marathon AS t1, marathon AS t2 WHERE t1.stage >= t2.stage GROUP BY t1.stage; # Compute cumulative distance and time at each stage, as well as # running speed average SELECT t1.stage, t1.km, t1.t, SUM(t2.km) AS 'cum. km', SEC_TO_TIME(SUM(TIME_TO_SEC(t2.t))) AS 'cum. t', SUM(t2.km)/(SUM(TIME_TO_SEC(t2.t))/(60*60)) AS 'avg. km/hour' FROM marathon AS t1, marathon AS t2 WHERE t1.stage >= t2.stage GROUP BY t1.stage;
-- -- The DO statement is used to allow this script to be run multiple -- times without raising exceptions -- DO $$ DECLARE v_found boolean; BEGIN -- -- Was the column already renamed? -- SELECT exists( SELECT column_name FROM information_schema.columns WHERE table_name = 'party_approved_member_map' and column_name = 'originating_rel_id' ) INTO v_found; if v_found IS FALSE then -- -- Use a better name for attribute "tag" in party_approved_member_map -- alter table party_approved_member_map rename tag to originating_rel_id; -- -- Create an "identity relationship" -- perform acs_object__new(-10, 'relationship') from dual; insert into acs_rels (rel_id, rel_type, object_id_one, object_id_two) values (-10, 'relationship', 0, 0); end if; END$$; -- -- Use the new identity relation instead of value "0" -- update party_approved_member_map set originating_rel_id = -10 where originating_rel_id = 0; -- -- Make sure, there are no leftovers in the old "tag" attribute, which -- did not have a foreign key defined -- delete from party_approved_member_map where originating_rel_id in (select originating_rel_id from party_approved_member_map except select rel_id from acs_rels); -- -- Add a foreign key ... -- ... and let the script run multiple times... -- ALTER TABLE party_approved_member_map DROP CONSTRAINT IF EXISTS party_member_rel_id_fk; ALTER TABLE party_approved_member_map ADD CONSTRAINT party_member_rel_id_fk foreign key (originating_rel_id) references acs_rels on delete cascade; DO $$ DECLARE v_found boolean; BEGIN -- -- Was the index already created? -- SELECT exists( SELECT relname from pg_class WHERE relname ='party_member_party_idx' ) into v_found; if v_found IS FALSE then -- -- speed up referential integrity -- create index party_member_party_idx on party_approved_member_map(party_id); create index party_member_originating_idx on party_approved_member_map(originating_rel_id); end if; END$$; -- -- Redefine the stored procedures/functions referring to the attribute -- "tag". -- -- -- procedure party_approved_member__add_one/3 -- CREATE OR REPLACE FUNCTION party_approved_member__add_one( p_party_id integer, p_member_id integer, p_rel_id integer ) RETURNS integer AS $$ DECLARE BEGIN insert into party_approved_member_map (party_id, member_id, originating_rel_id) values (p_party_id, p_member_id, p_rel_id); return 1; END; $$ LANGUAGE plpgsql; -- -- procedure party_approved_member__remove_one/3 -- CREATE OR REPLACE FUNCTION party_approved_member__remove_one( p_party_id integer, p_member_id integer, p_rel_id integer ) RETURNS integer AS $$ DECLARE BEGIN delete from party_approved_member_map where party_id = p_party_id and member_id = p_member_id and originating_rel_id = p_rel_id; return 1; END; $$ LANGUAGE plpgsql; -- Triggers to maintain party_approved_member_map when parties are created or -- destroyed. These don't call the above helper functions because we're just -- creating the identity row for the party. CREATE OR REPLACE FUNCTION parties_in_tr () RETURNS trigger AS $$ BEGIN insert into party_approved_member_map (party_id, member_id, originating_rel_id) values (new.party_id, new.party_id, -10); return new; END; $$ LANGUAGE plpgsql; CREATE OR REPLACE FUNCTION rel_segments_in_tr () RETURNS trigger AS $$ BEGIN insert into party_approved_member_map (party_id, member_id, originating_rel_id) select new.segment_id, element_id, rel_id from group_element_index where group_id = new.group_id and rel_type = new.rel_type; return new; END; $$ LANGUAGE plpgsql; -- -- Improve get_func_definition() to return SQL function/procedure -- definitions with argument names and defaults -- -- -- procedure get_func_definition/2 -- CREATE OR REPLACE FUNCTION get_func_definition( fname varchar, args oidvector ) RETURNS text AS $PROC$ DECLARE v_funcdef text default ''; v_args varchar; v_nargs integer; v_src text; v_rettype varchar; BEGIN select pg_get_function_arguments(oid), pronargs, prosrc, -- was number_src(prosrc) (select typname from pg_type where oid = p.prorettype::integer) into v_args, v_nargs, v_src, v_rettype from pg_proc p where proname = fname::name and proargtypes = args; v_funcdef := E'--\n-- ' || fname || '/' || v_nargs || E'\n--' || E'\ncreate or replace function ' || fname || E'(\n ' || replace(v_args, ', ', E',\n ') || E'\n) returns ' || v_rettype || E' as $$\n' || v_src || '$$ language plpgsql;'; return v_funcdef; END; $PROC$ LANGUAGE plpgsql stable strict;
<reponame>hungtin3/SQL4OracleEBS<filename>CancelLamTronCostManager.sql --@E:\GoogleDrive\runall\CancelLamTronCostManager.sql UPDATE Applsys.fnd_concurrent_requests SET status_code = 'X', phase_code = 'C' WHERE request_id in (SELECT t.Request_Id FROM Fnd_Concurrent_Requests t, Applsys.Fnd_User Fnu, Fnd_Conc_Req_Summary_v T1 WHERE 1 = 1 AND t.Requested_By = Fnu.User_Id AND T1.Request_Id = t.Request_Id And (t.Phase_Code = 'R' or t.Phase_Code = 'P') And ( T1.Program_Short_Name like '%SUPPLIER_STATEMENT_RE%' or T1.Program_Short_Name like '%CMCTCM%') ); commit;
DROP DATABASE IF EXISTS `mcpp`; CREATE DATABASE `mcpp` CHARACTER SET 'utf8mb4' COLLATE 'utf8mb4_unicode_ci'; USE `mcpp`; CREATE TABLE `settings` ( `setting` varchar(191) PRIMARY KEY, `value` text ); CREATE TABLE `log` ( `when` DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, `type` varchar(255) NOT NULL, `text` text NOT NULL ); CREATE TABLE `chat_log` ( `when` DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP, `from` text NOT NULL, `to` text, `message` text NOT NULL, `notes` text ); CREATE TABLE `keyvaluestore` ( `key` varchar(191) NOT NULL, `value` text NOT NULL, INDEX(`key`) ); CREATE TABLE `binary` ( `key` varchar(191) PRIMARY KEY, `value` mediumblob NOT NULL );
<reponame>sr-2020/sr-2020-db -- karma-bonuses drop table if exists karma_bonus; create table if not exists karma_bonus ( id serial not null constraint karma_bonus_pk primary key, amount integer not null, kind varchar(255) not null, details varchar(1024), requested_by varchar(255), requested_on date, approved_by varchar(255), approved_on date, character integer not null constraint karma_bonus_character_id_fk references character ); alter table karma_bonus owner to backend;
-- MySQL dump 10.13 Distrib 5.7.19, for Linux (x86_64) -- -- Host: localhost Database: weilai -- ------------------------------------------------------ -- Server version 5.7.19-0ubuntu0.16.04.1 /*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */; /*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */; /*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */; /*!40101 SET NAMES utf8 */; /*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */; /*!40103 SET TIME_ZONE='+00:00' */; /*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */; /*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */; /*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */; /*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */; -- -- Table structure for table `ad` -- DROP TABLE IF EXISTS `ad`; /*!40101 SET @saved_cs_client = @@character_set_client */; /*!40101 SET character_set_client = utf8 */; CREATE TABLE `ad` ( `id` int(11) NOT NULL AUTO_INCREMENT, `title` varchar(99) NOT NULL, `url` varchar(255) DEFAULT '', `new_window` tinyint(4) DEFAULT '0' COMMENT '链接是否在新窗口打开?', `word` text, `img` varchar(255) NOT NULL DEFAULT '' COMMENT 'banner图', `position` tinyint(4) NOT NULL DEFAULT '1' COMMENT '所处位置:1首页 2业务体系 3金牌托管 4品牌案例 5关于我们', `st` tinyint(4) DEFAULT '1', `create_time` int(11) DEFAULT '0', `update_time` int(11) DEFAULT '0', PRIMARY KEY (`id`), KEY `position` (`position`) ) ENGINE=MyISAM AUTO_INCREMENT=62 DEFAULT CHARSET=utf8 COMMENT='广告'; /*!40101 SET character_set_client = @saved_cs_client */; -- -- Dumping data for table `ad` -- LOCK TABLES `ad` WRITE; /*!40000 ALTER TABLE `ad` DISABLE KEYS */; INSERT INTO `ad` VALUES (51,'indexad','http://www.sina.com',0,NULL,'/upload/ad/20170914/ef756bf37e1ddfa834fad10512eddf44.jpg',1,1,1505384516,1505384516),(52,'yewu','',0,NULL,'/upload/ad/20170914/4a1c6f54ae17cc4351000604cbfb0d1f.jpg',2,0,1505384671,1505384904),(53,'logo1','http://www.isna.com',0,NULL,'/upload/ad/20170915/fad44ba4a8add889d074a0e48c02cbcb.jpg',1,1,1505440245,1505440245),(54,'dsg','',0,NULL,'/upload/ad/20170918/eb0591d70854990ab326c39b6b1b82ac.png',1,1,1505440260,1505714379),(55,'yewu','',0,NULL,'/upload/ad/20170915/d31bd4345586eeb42cc7bde121718447.jpg',2,1,1505451600,1505451600),(56,'adf','http://qingyy.net',1,NULL,'/upload/ad/20170915/92ad6b6f1f0646dec5a0c3917313a496.jpg',2,1,1505451803,1505451931),(57,'inai','',0,NULL,'/upload/ad/20170915/b63f99be2015b8e644632ad520471b3c.jpg',3,1,1505451956,1505451956),(58,'qyy1','',0,NULL,'/upload/ad/20170915/737b8a4573a53af43b225724443d4d62.jpg',6,1,1505452208,1505452208),(59,'adfaag','',0,NULL,'/upload/ad/20170915/1761c4b8269ac7c06e4d2d3516a309c9.jpg',6,1,1505452434,1505452434),(60,'pingpai','',0,NULL,'/upload/ad/20170915/ec3d93e758632378df4c0e2596d385d9.png',4,1,1505452474,1505452474),(61,'adsfasg','',0,NULL,'/upload/ad/20170915/103613c4feffb799391d24f72e74f915.png',5,1,1505464202,1505465356); /*!40000 ALTER TABLE `ad` ENABLE KEYS */; UNLOCK TABLES; -- -- Table structure for table `admin` -- DROP TABLE IF EXISTS `admin`; /*!40101 SET @saved_cs_client = @@character_set_client */; /*!40101 SET character_set_client = utf8 */; CREATE TABLE `admin` ( `id` int(11) NOT NULL AUTO_INCREMENT, `name` varchar(50) NOT NULL COMMENT '账号', `pwd` char(32) DEFAULT NULL COMMENT '密码', `times` int(11) DEFAULT '0' COMMENT '登录次数', `create_time` int(11) DEFAULT '0', `update_time` int(11) DEFAULT '0', PRIMARY KEY (`id`), UNIQUE KEY `name` (`name`) ) ENGINE=MyISAM AUTO_INCREMENT=3 DEFAULT CHARSET=utf8 COMMENT='后台管理员'; /*!40101 SET character_set_client = @saved_cs_client */; -- -- Dumping data for table `admin` -- LOCK TABLES `admin` WRITE; /*!40000 ALTER TABLE `admin` DISABLE KEYS */; INSERT INTO `admin` VALUES (2,'weilai888','5<PASSWORD>',4,0,0); /*!40000 ALTER TABLE `admin` ENABLE KEYS */; UNLOCK TABLES; -- -- Table structure for table `admin_log` -- DROP TABLE IF EXISTS `admin_log`; /*!40101 SET @saved_cs_client = @@character_set_client */; /*!40101 SET character_set_client = utf8 */; CREATE TABLE `admin_log` ( `id` int(11) NOT NULL AUTO_INCREMENT, `admin_id` int(11) NOT NULL DEFAULT '1' COMMENT 'admin_id', `ip` varchar(50) DEFAULT '' COMMENT '上次登录ip', `create_time` int(11) DEFAULT '0' COMMENT '登录时间', `update_time` int(11) DEFAULT '0', PRIMARY KEY (`id`) ) ENGINE=MyISAM AUTO_INCREMENT=15 DEFAULT CHARSET=utf8 COMMENT='后台管理员登录日志'; /*!40101 SET character_set_client = @saved_cs_client */; -- -- Dumping data for table `admin_log` -- LOCK TABLES `admin_log` WRITE; /*!40000 ALTER TABLE `admin_log` DISABLE KEYS */; INSERT INTO `admin_log` VALUES 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varchar(255) DEFAULT NULL, `description` varchar(255) DEFAULT NULL, `sort` int(11) DEFAULT '1000', `st` tinyint(4) DEFAULT '1', `index_show` tinyint(4) DEFAULT '0' COMMENT '是否显示在轮番图', `create_time` int(11) DEFAULT '0', `update_time` int(11) DEFAULT '0', PRIMARY KEY (`id`), KEY `cate_id` (`cate_anli_id`) ) ENGINE=MyISAM AUTO_INCREMENT=9 DEFAULT CHARSET=utf8 COMMENT='anli'; /*!40101 SET character_set_client = @saved_cs_client */; -- -- Dumping data for table `anli` -- LOCK TABLES `anli` WRITE; /*!40000 ALTER TABLE `anli` DISABLE KEYS */; INSERT INTO `anli` VALUES (1,3,'sdfsfs','/upload/anli/20170914/e3dde9cdc781a26454ded453088fddf8.png','4,3','adsfadf243',NULL,NULL,1,1,0,1505377741,1505456271),(2,2,'bashifu','/upload/anli/20170914/4ee79dfb33487713b7fb9d2f03017788.jpg','4,1','<p>\r\n adfsaf32254a4df56a32d1f3asd\r\n</p>\r\n<p>\r\n 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`cont` text, `keywords` varchar(255) DEFAULT NULL, `description` varchar(255) DEFAULT NULL, `sort` int(11) DEFAULT '1000' COMMENT '排序', `st` tinyint(4) DEFAULT '1', `index_show` tinyint(4) DEFAULT '0' COMMENT '是否显示在轮番图', `create_time` int(11) DEFAULT '0', `update_time` int(11) DEFAULT '0', PRIMARY KEY (`id`), KEY `cate` (`cate`) ) ENGINE=MyISAM AUTO_INCREMENT=7 DEFAULT CHARSET=utf8 COMMENT='资讯表'; /*!40101 SET character_set_client = @saved_cs_client */; -- -- Dumping data for table `article` -- LOCK TABLES `article` WRITE; /*!40000 ALTER TABLE `article` DISABLE KEYS */; INSERT INTO `article` VALUES (1,1,'微信小程序势不可挡',0,'/upload/article/20170914/e632ca2835c75b911fb791935718858e.jpg','<div>\r\n <strong>微信小程序功能持续完善!</strong><br />\r\n \r\n</div>\r\n<div>\r\n 据统计,小程序一共公布公布了25项新能力,其中不乏“附近的小程序”、“自定义关键词”等重量级功能,如此频繁的更新速度,可见微信团队押注小程序的决心。近期又增加3项功能。<br />\r\n \r\n</div>\r\n<div>\r\n 1、小程序打开小程序<br />\r\n \r\n</div>\r\n<div>\r\n 同一个公众号下关联的10个同主体小程序和3个非同主体小程序之间,可以调用接口直接相互跳转。微信客户端6.5.9及以上版本支持。<br />\r\n \r\n</div>\r\n<div>\r\n 2、门店小程序的门店页支持添加视频<br />\r\n \r\n</div>\r\n<div>\r\n 为了方便宣传门店形象,门店小程序的门店页支持可添加视频。添加视频方式有两种:<br />\r\n \r\n</div>\r\n<div>\r\n 上传视频至公众号素材库添加。<br />\r\n \r\n</div>\r\n<div>\r\n 输入视频链接或含视频的图文消息链接添加。<br />\r\n \r\n</div>\r\n<div>\r\n 3、门店小程序支持接口管理<br />\r\n \r\n</div>\r\n<div>\r\n 门店小程序支持接口管理,提供创建商家,新增、查询、修改和删除门店等接口,同时支持第三方平台授权调用,方便批量管理门店。<br />\r\n \r\n</div>\r\n<div>\r\n <strong>央视财经连续播报!涵盖各行各业</strong><br />\r\n<br />\r\n <div>\r\n 作为独霸一方的国民级应用,微信的一举一动都牵动万千人心,小程序作为其开放生态战略的体现,重要性不言而喻。根据央视财经报道:在微信小程序正式上线的第一天里,开发者们发布的“小程序”至少有上百个,覆盖教育、媒体、工具、交通、房地产、生活服务、科技、旅游、电商、政务民生、餐饮等多方面。另外央视报道还指出“小程序的出现使得开发门槛大幅降低,小程序推广现商机。”<br />\r\n \r\n </div>\r\n <div>\r\n <strong>轻应用联盟,帮商家抢占第一波红利</strong><br />\r\n \r\n </div>\r\n <div>\r\n 轻应用联盟这是由北京未来和讯信息科技有限公司(www.weilaihexun.com)早在2017年2月研发推出的新产品,它以轻量无痕、多元化场景、无需安装、即开即用、方便快捷的“轻应用”属性,迅速打开知名度。轻应用联盟主要服务于具有共同营销目标的单一企业或线下商家,通过小程序、公众号、微应用等轻应用产品结成联盟,再利用轻应用商店(www.qingyy.net)的市场媒介进行推广,形成闭环的轻应用互联网生态圈。<br />\r\n \r\n </div>\r\n <div>\r\n 综上所述,微信小程序发展势不可挡,各个平台纷纷都在抢入口,再不行动,就要错过又一次投资牛市,加入轻应用联盟,抢占第一波红利。\r\n </div>\r\n</div>',NULL,NULL,0,1,1,1505365732,1505367644),(2,1,'轻应用联盟:让小程序不再“孤独”',0,'/upload/article/20170914/793af7cbf446b00374fee98626d097a1.png','<p>\r\n  2017年1月9日微信小程序正式上线。小程序是一种不需要下载安装即可使用的应用,它实现了应用“触手可及”的梦想,用户扫一扫或者搜一下即可打开应用。用完即走、无需安装卸载、方便快捷的“轻盈”特性让小程序一经上市便吸引了大批用户。小程序的应用无疑开辟了微信研发领域的新高度,同时构建了一个更加完善、良性、有效的互联网生态圈。\r\n</p>\r\n<p>\r\n   近日,根据可靠消息,背靠阿里巴巴集团、同样拥有至多线下场景的支付宝也加入了小程序平台的开发阵地,支付宝此举并不令人意外。从微信小程序开放内测到正式发布,短短几个月的时间,已有数千个小程序投入使用。更关键的是,微信利用“扫一扫”的调用方式将小程序的潜力放在线下,腾讯“连接线上线下”的野心已昭然若揭,抢占小程序入口已经迫在眉睫,而小程序应用场景也必将成为传统企业及线下商家的必争之地,移动互联网即将迎来一种新的服务形态。\r\n</p>\r\n<p>\r\n   未来小程序将无处不在,无时不用。但因小程序用完即走的特性及微信缺少小程序展示入口的原因,使得初创品牌或线下商家被用户搜索并引导其扫描前往是一大难题,可以预见,用户因抢占流量而付出的成本将大大提高。那么,基于微信庞大的用户群体,用户如何充分利用微信更好地进行推广?又如何将微信的各个功能整合,从而使小程序应用场景实现最佳的推广效果呢?\r\n</p>\r\n<p>\r\n   近日,北京未来和讯信息科技有限公司(www.weilaihexun.com)为帮助企业建立轻应用生态成功推出——轻应用联盟。据了解,轻应用联盟主要服务于具有共同营销目标的单一企业或线下商家,通过小程序、公众号、微应用等轻应用云产品结成联盟,再利用轻应用商店的市场媒介进行推广,形成闭环的轻应用互联网生态圈。从而实现企业更大范围、更大程度的推广效果,打造小程序在内的互联网轻应用生态环境。\r\n</p>\r\n<p>\r\n   与其他推广平台不同,轻应用联盟在服务企业的基础上,更具有受众定位精准、推广手段多种、传播范围广泛的特点。众所周知,微信可以说是时下使用频度、用户黏性较高的社交媒体。轻应用联盟正式基于这一点进行推广,充分利用微信使用人群,用户目标辐射全国,主要定位于18-60岁、具有消费能力、观看口味高端、对新生事物敏感的智慧型受众。在此基础上,轻应用联盟利用大数据技术准确地寻找受众,从而进行精准传播。同时,轻应用联盟利用自身轻应用商店,联合圈内知名的小程序商店等众多优质平台形成了小程序商店推广圈,在行业内各大知名媒体进行多渠道营销。\r\n</p>\r\n<p>\r\n   未来和讯CEO吴总说:“在互联网发展日新月异的今天,pc互联网时代的营销模式为企业带来的利润已经受限,很多企业想置身移动互联网新服务形态,却终究找不到合适的方法和渠道,轻应用联盟的诞生正是为了弥补这一缺憾,在帮助企业适应新的服务形态的同时,重新帮助企业找到一种有效方便的载体,推出服务”。\r\n</p>','用户扫一扫,安装卸载','2017年1月9日微信小程序正式上线。小程序是一种不需要下载安装即可使用的应用,它实现了应用“触手可及”的梦想,用户扫一扫或者搜一下即可打开应用。用完即走、无需安装卸载、',1000,1,1,1505367613,1505705126),(3,2,'共同关爱失独、空巢老人家庭',0,'/upload/article/20170914/4f4ead3e982a7a9f42e84faf487fa222.jpg','<div>\r\n   “只要人人都献出一点爱,世界将变成美好的家园……”在我国,失独家庭成为社会的一大群体,失独父母需要社会各界的关怀与温暖,为失独家庭提供实际帮助,给予精神力量是全社会的共同责任。<br />\r\n \r\n</div>\r\n<div>\r\n  随着社会的发展,越来越多的组织和个人关注失独家庭,帮助失独家庭。作为国内的最早启动“失独家庭爱心帮扶工程”的全国性公益组织——“中国生命关怀协会”作为国家卫计委主管的全国性非营利性社会组织,长期以来致力于对失独家庭的关怀,除了在物质上的帮助,该协会也注重对失独父母的精神鼓舞。除了协会外,株洲市畅想慈灯社会服务中心也一直从事失独、空巢老人家庭的公益活动,他们以多样的演出形式,无偿帮助失独、空巢老人,为他们带来温暖和力量。<br />\r\n \r\n</div>\r\n<div>\r\n 为了呼吁社会各界对失独家庭的关注,1月20日,“爱洒这方土”大型公益文艺汇演活动在株洲举行,活动为失独父母铸就关爱“失独家庭”爱的长城,为了让更多人加入到关爱失独家庭以及空巢老人的行动中来,活动启动关爱失独家庭公益项目。<br />\r\n \r\n</div>\r\n<div>\r\n  本次活动中,最受大家欢迎的便是湖南铁路科技职业技术学院师生自编、自导、参演的音乐情景剧《爱的传承》,舞台剧的演出将带入高潮,演员动情的表演让现场观众纷纷落泪,同时也让大家更加感受到了爱的力量,把正能量传递到每个人的心中。<br />\r\n   \r\n</div>',NULL,NULL,1000,1,1,1505367733,1505368240),(4,3,'轻应用联盟:为手机减负,为生活减压',0,'/upload/article/20170914/750fa6865e2ee53026df9aeaa9d9779a.jpg','<p style=\"color:#3E3E3E;font-family:\"font-size:16px;\">\r\n    智能手机给我们的生活带来很多便捷,在移动互联网盛行的今天,各种应用软件也是层出不穷,它们覆盖了我们生活的方方面面,吃、穿、住、行等等。近日,国内某知名媒体针对各类应用软件的使用情况进行了一项调查。调查结果显示,有近80%的人手机中下载的软件超过20个,有一半以上的用户超过30个。繁多的应用软件让手机不堪重负,也直接影响手机的使用“寿命”。那么,如何为手机减压,却不影响使用,成为各大应用商们的一大难题。为解决这一难题,北京未来和讯信息科技有限公司在今年2月份推出了一款全新应用产品——轻应用联盟。<br />\r\n<br />\r\n<strong>轻应用联盟</strong><strong>是什么?</strong>\r\n</p>\r\n<p style=\"color:#3E3E3E;font-family:\"font-size:16px;\">\r\n <br />\r\n<a href=\"http://www.qingyy.net/\">轻应用联盟</a>是一款致力于打造互联网轻应用新生态的革命性产品, 主要服务于具有共同目标的单一企业,通过将企业的小程序、公众号、微应用等轻应用云产品结合成联盟,再利用<a href=\"http://www.qingyy.net/\">轻应用商店</a>(www.qingyy.net)的市场媒介进行全方位、立体化的推广传播,从而帮助企业进行大范围、深层次的宣传,打造一种全新的轻应用生态环境。\r\n</p>',NULL,NULL,1000,1,0,1505368130,1505459989),(5,3,'我们在设计中',0,'/upload/article/20170918/6791cc92353fd03fe9ffbb5987d10b5b.jpg','<p>\r\n adfs7978768东奔西走132234\r\n</p>\r\n<p>\r\n 东奔西走\r\n</p>\r\n<p>\r\n <br />\r\n</p>','不中不中,也许是吧,谈笑风生,或许不行','描述加上中以,你懂的',1000,1,0,1505700831,1505700848),(6,1,'adfasg',0,'/upload/article/20170918/1cc87d670ee02c4b982ef9456682bb8e.jpg','asdgasdg','','',1000,1,0,1505713190,1505713190); /*!40000 ALTER TABLE `article` ENABLE KEYS */; UNLOCK TABLES; -- -- Table structure for table `cate` -- DROP TABLE IF EXISTS `cate_anli`; /*!40101 SET @saved_cs_client = @@character_set_client */; /*!40101 SET character_set_client = utf8 */; CREATE TABLE `cate_anli` ( `id` int(11) NOT NULL AUTO_INCREMENT, `name` varchar(99) NOT NULL COMMENT '名称', `sort` int(11) DEFAULT '0' COMMENT '排序', `st` tinyint(4) DEFAULT '1' COMMENT '0删除状态,1正常', `create_time` int(11) DEFAULT '0', `update_time` int(11) DEFAULT '0', PRIMARY KEY (`id`) ) ENGINE=MyISAM AUTO_INCREMENT=5 DEFAULT CHARSET=utf8 COMMENT='anli分类'; /*!40101 SET character_set_client = @saved_cs_client */; -- -- Dumping data for table `cate` -- LOCK TABLES `cate_anli` WRITE; /*!40000 ALTER TABLE `cate` DISABLE KEYS */; INSERT INTO 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'0', PRIMARY KEY (`id`) ) ENGINE=MyISAM AUTO_INCREMENT=6 DEFAULT CHARSET=utf8 COMMENT='anli功能'; /*!40101 SET character_set_client = @saved_cs_client */; -- -- Dumping data for table `func` -- LOCK TABLES `func` WRITE; /*!40000 ALTER TABLE `func` DISABLE KEYS */; INSERT INTO `func` VALUES (1,'产品展示',0,1,1505376180,1505376180),(2,'订单管理',1,1,1505376202,1505376202),(3,'积分功能',2,1,1505376225,1505376225),(4,'人才招聘',5,1,1505376392,1505376494),(5,'ddsg',0,0,1505377255,1505377260); /*!40000 ALTER TABLE `func` ENABLE KEYS */; UNLOCK TABLES; -- -- Table structure for table `menu_admin` -- DROP TABLE IF EXISTS `menu_admin`; /*!40101 SET @saved_cs_client = @@character_set_client */; /*!40101 SET character_set_client = utf8 */; CREATE TABLE `menu_admin` ( `id` int(11) NOT NULL AUTO_INCREMENT, `name` varchar(50) NOT NULL COMMENT '导航名称', `pid` int(11) NOT NULL DEFAULT '0' COMMENT '导航上级id,总分两级,0表示一级', `controller` varchar(100) DEFAULT '' COMMENT '控制器,为一级时为""', `action` varchar(100) DEFAULT '' COMMENT '控制器中方法,为一级时为""', `param` varchar(100) DEFAULT '' COMMENT '参数', `sort` int(11) DEFAULT '0', `create_time` int(11) DEFAULT '0', `update_time` int(11) DEFAULT '0', PRIMARY KEY (`id`) ) ENGINE=MyISAM AUTO_INCREMENT=30 DEFAULT CHARSET=utf8 COMMENT='后台左侧导航'; /*!40101 SET character_set_client = @saved_cs_client */; -- -- Dumping data for table `menu_admin` -- LOCK TABLES `menu_admin` WRITE; /*!40000 ALTER TABLE `menu_admin` DISABLE KEYS */; INSERT INTO `menu_admin` VALUES (19,'主要管理',0,'','','',0,1505358580,1505358580),(20,'资讯',19,'Article','index','',0,1505358628,1505358628),(21,'案例',19,'Anli','index','',1,1505358670,1505358670),(22,'广告图',19,'Ad','index','',4,1505358704,1505375295),(23,'其它管理',0,'','','',1,1505358751,1505358751),(24,'招贤纳士',23,'Recruit','index','',3,1505358773,1505465541),(25,'改后台密码',23,'Admin','edit','',5,1505358851,1505699431),(26,'案例类别',23,'CateAnli','index','',0,1505369468,1505465510),(27,'案例功能',23,'Func','index','',1,1505375321,1505465516),(28,'合作/友情链接',23,'friend','index','',2,1505438054,1505465577),(29,'SEO设置',23,'SeoSet','index','',4,1505699413,1505699516); /*!40000 ALTER TABLE `menu_admin` ENABLE KEYS */; UNLOCK TABLES; -- -- Table structure for table `recruit` -- DROP TABLE IF EXISTS `recruit`; /*!40101 SET @saved_cs_client = @@character_set_client */; /*!40101 SET character_set_client = utf8 */; CREATE TABLE `recruit` ( `id` int(11) NOT NULL AUTO_INCREMENT, `name` varchar(50) NOT NULL COMMENT '职位名称', `department` varchar(50) NOT NULL COMMENT '部门', `num` int(11) NOT NULL COMMENT '招人数', `addr` varchar(50) NOT NULL COMMENT '工作地', `duty` text COMMENT '岗位职责及优势', `st` tinyint(4) DEFAULT NULL COMMENT '0删除状态,1正常,2不显示', `create_time` int(11) DEFAULT '0', `update_time` int(11) DEFAULT '0', PRIMARY KEY (`id`) ) ENGINE=MyISAM AUTO_INCREMENT=7 DEFAULT CHARSET=utf8 COMMENT='招贤纳士'; /*!40101 SET character_set_client = @saved_cs_client */; -- -- Dumping data for table `recruit` -- LOCK TABLES `recruit` WRITE; /*!40000 ALTER TABLE `recruit` DISABLE KEYS */; INSERT INTO `recruit` VALUES (4,'xiaohou','adsfasdf',4,'a234adsf','adfadsf35154adsfasdfadsf',1,1505385693,1505465281),(5,'afd','adf',0,'adsf','adsfasdg',0,1505386120,1505386136),(6,'sheji','jishuub',1,'biejing','<p>\r\n asdf\r\n</p>\r\n<p>\r\n asdgag\r\n</p>\r\n<p>\r\n a234\r\n</p>\r\n<p>\r\n ag\r\n</p>',1,1505465133,1505465133); /*!40000 ALTER TABLE `recruit` ENABLE KEYS */; UNLOCK TABLES; -- -- Table structure for table `seo_set` -- DROP TABLE IF EXISTS `seo_set`; /*!40101 SET @saved_cs_client = @@character_set_client */; /*!40101 SET character_set_client = utf8 */; CREATE TABLE `seo_set` ( `id` int(11) NOT NULL AUTO_INCREMENT, `nav_id` tinyint(4) NOT NULL DEFAULT '1' COMMENT '1首页 2业务体系 3品牌案例 4资讯中心 5关于我们 6渠道与招商', `title` varchar(100) NOT NULL DEFAULT '' COMMENT 'seo标题', `keywords` varchar(255) NOT NULL DEFAULT '' COMMENT 'seo关键词', `description` varchar(255) NOT NULL DEFAULT '' COMMENT 'seo描述', `create_time` int(11) DEFAULT '0', `update_time` int(11) DEFAULT '0', PRIMARY KEY (`id`) ) ENGINE=MyISAM AUTO_INCREMENT=7 DEFAULT CHARSET=utf8 COMMENT='seo set'; /*!40101 SET character_set_client = @saved_cs_client */; -- -- Dumping data for table `seo_set` -- LOCK TABLES `seo_set` WRITE; /*!40000 ALTER TABLE `seo_set` DISABLE KEYS */; INSERT INTO `seo_set` VALUES (1,1,'未来和讯-国内领先的企业营销服务平台','未来和讯,网管家,软文发布,企业品牌宣传,新闻发布,新闻营销,企业宣传片,微视频,视频推广,活动策划,营销活动,营销策划,市场营销活动,网站优化,网站推广,新媒体运营,APP运营,网站运营,网站品牌塑造','北京未来和讯信息科技有限公司专注于网络营销推广服务,业务涉及网站建设、APP开发、微信开发、网站托管、视频访谈、网络整合营销、新闻稿软文推广等。公司致力于为企业打造一体化网络营销服务。',1505699820,1505701072),(2,2,'yewutixi333','kdf0809285ladfj,adfjioadf,892o354','jklajdfia',1505699869,1505701700),(4,3,'anli-title','anli-key,alnikey2','anli-key,alnikey2asd',1505704286,1505704286),(5,4,'zixunbaiti','zixunkey,zikey2,key3,,,','',1505704463,1505704463),(6,5,'weiaizaina','huiliongguan,azuo','i et yu lb ',1505704619,1505704619); /*!40000 ALTER TABLE `seo_set` ENABLE KEYS */; UNLOCK TABLES; /*!40103 SET TIME_ZONE=@OLD_TIME_ZONE */; /*!40101 SET SQL_MODE=@OLD_SQL_MODE */; /*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */; /*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */; /*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */; /*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */; /*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */; /*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */; -- Dump completed on 2017-09-19 9:18:08
<gh_stars>0 -- Table: job_control DROP TABLE job_control; CREATE TABLE job_control ( job_seq_id VARCHAR2(10) NOT NULL, job_app_cd VARCHAR2(10), job_arg_nm1 VARCHAR2(100), job_arg_nm2 VARCHAR2(100), job_arg_nm3 VARCHAR2(100), job_arg_nm4 VARCHAR2(100), job_arg_nm5 VARCHAR2(100), job_arg_nm6 VARCHAR2(100), job_arg_nm7 VARCHAR2(100), job_arg_nm8 VARCHAR2(100), job_arg_nm9 VARCHAR2(100), job_arg_nm10 VARCHAR2(100), job_arg_nm11 VARCHAR2(100), job_arg_nm12 VARCHAR2(100), job_arg_nm13 VARCHAR2(100), job_arg_nm14 VARCHAR2(100), job_arg_nm15 VARCHAR2(100), job_arg_nm16 VARCHAR2(100), job_arg_nm17 VARCHAR2(100), job_arg_nm18 VARCHAR2(100), job_arg_nm19 VARCHAR2(100), job_arg_nm20 VARCHAR2(100), blogic_app_status VARCHAR2(10), cur_app_status VARCHAR2(1), add_date_time timestamp, upd_date_time timestamp, CONSTRAINT pk_job_control PRIMARY KEY (job_seq_id) ); quit
<reponame>manojs63/oltpbench-voltdb drop table region if exists; create table region ( r_regionkey int not null, r_name varchar(55) not null, r_comment varchar(152) not null, PRIMARY KEY ( r_regionkey ) ); drop table nation if exists; create table nation ( n_nationkey int not null, n_name varchar(25) not null, n_regionkey int not null references region(r_regionkey), n_comment varchar(152) not null, PRIMARY KEY ( n_nationkey ) ); drop table supplier if exists; create table supplier ( su_suppkey int not null, su_name varchar(25) not null, su_address varchar(40) not null, su_nationkey int not null references nation(n_nationkey), su_phone varchar(15) not null, su_acctbal decimal(12,2) not null, su_comment varchar(101) not null, PRIMARY KEY ( su_suppkey ) );
<filename>_src/Chapter 7/0254OS_07_Code/mymodcarrier/install/uninstall.sql<gh_stars>0 DROP TABLE `PREFIX_mymod_carrier_cart`
<gh_stars>1-10 INSERT INTO dashboard VALUES(8,1,'container-stats','Container Stats','{"annotations":{"list":[{"builtIn":1,"datasource":"-- Grafana --","enable":true,"hide":true,"iconColor":"rgba(0, 211, 255, 1)","name":"Annotations \u0026 Alerts","type":"dashboard"}]},"editable":true,"gnetId":null,"graphTooltip":0,"hideControls":false,"id":null,"links":[],"rows":[{"collapse":false,"height":"250px","panels":[{"aliasColors":{},"bars":false,"dashLength":10,"dashes":false,"datasource":"influxdb","fill":1,"id":1,"legend":{"avg":false,"current":false,"max":false,"min":false,"show":true,"total":false,"values":false},"lines":true,"linewidth":1,"links":[],"nullPointMode":"null","percentage":false,"pointradius":5,"points":false,"renderer":"flot","seriesOverrides":[],"spaceLength":10,"span":12,"stack":false,"steppedLine":false,"targets":[{"alias":"$tag_name","dsType":"influxdb","groupBy":[{"params":["$__interval"],"type":"time"},{"params":["job"],"type":"tag"},{"params":["container_label_com_docker_swarm_service_name"],"type":"tag"},{"params":["container_label_com_docker_swarm_task_id"],"type":"tag"},{"params":["name"],"type":"tag"},{"params":["null"],"type":"fill"}],"measurement":"container_cpu_usage_seconds_total","orderByTime":"ASC","policy":"default","refId":"A","resultFormat":"time_series","select":[[{"params":["value"],"type":"field"},{"params":[],"type":"mean"},{"params":["10s"],"type":"non_negative_derivative"}]],"tags":[]}],"thresholds":[],"timeFrom":null,"timeShift":null,"title":"CPU Usage","tooltip":{"shared":true,"sort":0,"value_type":"individual"},"type":"graph","xaxis":{"buckets":null,"mode":"time","name":null,"show":true,"values":[]},"yaxes":[{"format":"s","label":null,"logBase":1,"max":null,"min":null,"show":true},{"format":"short","label":null,"logBase":1,"max":null,"min":null,"show":true}]}],"repeat":null,"repeatIteration":null,"repeatRowId":null,"showTitle":false,"title":"Dashboard Row","titleSize":"h6"},{"collapse":false,"height":250,"panels":[{"aliasColors":{},"bars":false,"dashLength":10,"dashes":false,"datasource":"influxdb","fill":1,"id":2,"legend":{"avg":false,"current":false,"max":false,"min":false,"show":true,"total":false,"values":false},"lines":true,"linewidth":1,"links":[],"nullPointMode":"connected","percentage":false,"pointradius":5,"points":false,"renderer":"flot","seriesOverrides":[],"spaceLength":10,"span":12,"stack":false,"steppedLine":false,"targets":[{"alias":"$tag_name","dsType":"influxdb","expr":"go_memstats_alloc_bytes_total","format":"time_series","groupBy":[{"params":["$__interval"],"type":"time"},{"params":["id"],"type":"tag"},{"params":["container_label_com_docker_swarm_service_name"],"type":"tag"},{"params":["container_label_com_docker_stack_namespace"],"type":"tag"},{"params":["name"],"type":"tag"},{"params":["null"],"type":"fill"}],"intervalFactor":2,"measurement":"container_memory_usage_bytes","orderByTime":"ASC","policy":"default","refId":"A","resultFormat":"time_series","select":[[{"params":["value"],"type":"field"},{"params":[],"type":"mean"}]],"tags":[]}],"thresholds":[],"timeFrom":null,"timeShift":null,"title":"Memory allocation","tooltip":{"shared":true,"sort":0,"value_type":"individual"},"type":"graph","xaxis":{"buckets":null,"mode":"time","name":null,"show":true,"values":[]},"yaxes":[{"format":"bytes","label":null,"logBase":1,"max":null,"min":"0","show":true},{"format":"short","label":null,"logBase":1,"max":null,"min":null,"show":true}]}],"repeat":null,"repeatIteration":null,"repeatRowId":null,"showTitle":false,"title":"Dashboard Row","titleSize":"h6"}],"schemaVersion":14,"style":"dark","tags":[],"templating":{"list":[]},"time":{"from":"now-1h","to":"now"},"timepicker":{"refresh_intervals":["5s","10s","30s","1m","5m","15m","30m","1h","2h","1d"],"time_options":["5m","15m","1h","6h","12h","24h","2d","7d","30d"]},"timezone":"","title":"Container Stats","version":1}',1,'2017-11-08 16:38:21','2017-11-08 16:38:21',1,1,0,'');
<gh_stars>10-100 CREATE TABLE "public"."auth_tokens" ( "user_id" varchar(32) COLLATE "default" NOT NULL, "token" varchar(32) COLLATE "default" NOT NULL, "created_at" timestamp(6) NOT NULL, "attempts" int4 DEFAULT 0 NOT NULL, CONSTRAINT "auth_tokens_pkey" PRIMARY KEY ("user_id") ) WITH (OIDS=FALSE);
-- SPDX-License-Identifier: Apache-2.0 -- Licensed to the Ed-Fi Alliance under one or more agreements. -- The Ed-Fi Alliance licenses this file to you under the Apache License, Version 2.0. -- See the LICENSE and NOTICES files in the project root for more information. use generate declare @studentDateQuery as rds.StudentDateTableType insert into @studentDateQuery ( DimStudentId, PersonId, DimCountDateId, SubmissionYearDate, [Year], SubmissionYearStartDate, SubmissionYearEndDate ) exec rds.Migrate_DimDates_Students 'datapopulation', 'rds', 8 declare @ideaQuery as table ( DimStudentId int, DimSchoolId int, DimLeaId int, PersonId int, DimCountDateId int, DisabilityCode varchar(50), EducEnvCode varchar(50), BasisOfExitCode varchar(50), SpecialEducationServicesExitDate Date ) insert into @ideaQuery ( DimStudentId, DimSchoolId, DimLeaId, PersonId, DimCountDateId, DisabilityCode, EducEnvCode, BasisOfExitCode, SpecialEducationServicesExitDate ) exec rds.Migrate_DimIdeaStatuses @studentDateQuery, 'submission', 0 select 'i', * from @ideaQuery where DimStudentId = 894800 select * from @studentDateQuery s join rds.DimStudents ds on ds.DimStudentId = s.DimStudentId where ds.StateStudentIdentifier = '604872' select DimStudentId, PersonId, DimCountDateId, DimSchoolId, DimLeaId, Organizationid from rds.Get_StudentOrganizations(@studentDateQuery, 0) DECLARE @factTypeCode as varchar(50) = 'datapopulation', @useCutOffDate as bit = 0 declare @k12StudentRoleId as int, @schoolOrganizationTypeId as int, @specialEdProgramTypeId as int select @k12StudentRoleId = RoleId from ods.[Role] where Name = 'K12 Student' select @schoolOrganizationTypeId = RefOrganizationTypeId from ods.RefOrganizationType where code = 'K12School' select @specialEdProgramTypeId = RefProgramTypeId from ods.RefProgramType where code = '04888' declare @ctePerkDisab as varchar(50) select @ctePerkDisab = r.ResponseValue from app.ToggleResponses r inner join app.ToggleQuestions q on r.ToggleQuestionId = q.ToggleQuestionId where q.EmapsQuestionAbbrv = 'CTEPERKDISAB' declare @isADADisability as bit set @isADADisability = 0 IF @factTypeCode = 'cte' AND @ctePerkDisab = 'ADA Disability' BEGIN set @isADADisability = 1 END --select * from RDS.Get_StudentOrganizations(@studentDateQuery,@useCutOffDate) select distinct s.DimStudentId, s.PersonId, s.DimCountDateId, sch.DimSchoolId, o.OrganizationId as SchOrganizationId from @studentDateQuery s left join ods.OrganizationPersonRole r on r.PersonId = s.PersonId and r.RoleId = @k12StudentRoleId left join ods.OrganizationDetail o on o.OrganizationId = r.OrganizationId and o.RefOrganizationTypeId = @schoolOrganizationTypeId left join rds.DimSchools sch on sch.SchoolOrganizationId = o.OrganizationId where r.EntryDate <= case when @useCutOffDate = 0 then s.SubmissionYearEndDate else s.SubmissionYearDate end --and ( -- r.ExitDate >= -- case -- when @useCutOffDate = 0 then s.SubmissionYearStartDate -- else s.SubmissionYearDate -- end --or r.ExitDate is null) --and DimSchoolId > -1 and s.DimStudentId = 787486 ---exec rds.Migrate_DimIdeaStatuses @studentDateQuery, @factTypeCode, 0 select distinct s.DimStudentId, r.DimSchoolId, r.DimLeaId, s.PersonId, s.DimCountDateId, S.PersonId, pd.PrimaryDisabilityTypeId, case when @isADADisability = 1 then IIF(pd.DisabilityStatus = 1, isnull(dt.Code, 'MISSING'),'MISSING') else isnull(dt.Code, 'MISSING') end as DisabilityCode, isnull(e.Code, isnull(sa.Code, 'MISSING')) as EducEnvCode, isnull(exitReason.Code, 'MISSING') as BasisOfExitCode, case when @factTypeCode = 'specedexit' then p.SpecialEducationServicesExitDate else NULL end as SpecialEducationServicesExitDate from @studentDateQuery s left join (select * from RDS.Get_StudentOrganizations(@studentDateQuery,@useCutOffDate)) r on s.PersonId = r.PersonId and s.DimCountDateId = r.DimCountDateId left join ods.OrganizationRelationship ore on IIF(r.OrganizationId > 0 , r.OrganizationId, r.LeaOrganizationId) = ore.Parent_OrganizationId left join ods.OrganizationPersonRole rp on rp.PersonId = s.PersonId and rp.EntryDate between s.SubmissionYearStartDate and s.SubmissionYearEndDate and ore.OrganizationId = rp.OrganizationId left join ods.OrganizationProgramType t on t.OrganizationId = rp.OrganizationId and t.RefProgramTypeId = @specialEdProgramTypeId left outer join ods.PersonDisability pd on pd.PersonId = S.PersonId and ISNULL(pd.RecordStartDateTime, S.SubmissionYearDate) <= case when @useCutOffDate = 0 then S.SubmissionYearEndDate else S.SubmissionYearDate end and ISNULL(pd.RecordEndDateTime, GETDATE()) >= case when @useCutOffDate = 0 then S.SubmissionYearStartDate else S.SubmissionYearDate end left join ods.RefDisabilityType dt on dt.RefDisabilityTypeId = pd.PrimaryDisabilityTypeId left join ods.PersonProgramParticipation ppp on rp.OrganizationPersonRoleId = ppp.OrganizationPersonRoleId left join ods.ProgramParticipationSpecialEducation p on p.PersonProgramParticipationId = ppp.PersonProgramParticipationId left join ods.RefIDEAEducationalEnvironmentEC e on e.RefIDEAEducationalEnvironmentECId = p.RefIDEAEducationalEnvironmentECId left join ods.RefIDEAEducationalEnvironmentSchoolAge sa on sa.RefIDESEducationalEnvironmentSchoolAge = p.RefIDEAEdEnvironmentSchoolAgeId left join ods.RefSpecialEducationExitReason exitReason on p.RefSpecialEducationExitReasonId = exitReason.RefSpecialEducationExitReasonId where s.DimStudentId = 787674
<gh_stars>1-10 -- @skip #140439825 --start_ignore SET client_min_messages='log'; INSERT INTO dml_trigger_table_1 VALUES('TEST',10); SET client_min_messages='notice'; --end_ignore SELECT * FROM dml_trigger_table_1 order by 2; \!sed -n '/Planner/p' %MYD%/output/insert_fallback_orca.out
<filename>demo/CaretClassifier_svmPoly/iris_str_tgt/oracle/demo3_caret_CaretClassifier_svmPoly_oracle.sql -- This SQL code was generated by sklearn2sql (development version). -- Copyright 2018 -- Model : CaretClassifier_svmPoly -- Dataset : iris_str_tgt -- Database : oracle -- This SQL code can contain one or more statements, to be executed in the order they appear in this file. -- Model deployment code WITH kernel_input_with_scaling AS (SELECT "ADS"."KEY" AS "KEY", (CAST("ADS"."Feature_0" AS BINARY_DOUBLE) - 5.8475) / 0.8305068311812105 AS "Feature_0", (CAST("ADS"."Feature_1" AS BINARY_DOUBLE) - 3.040833333333333) / 0.4410636176856331 AS "Feature_1", (CAST("ADS"."Feature_2" AS BINARY_DOUBLE) - 3.8441666666666667) / 1.7181578875675667 AS "Feature_2", (CAST("ADS"."Feature_3" AS BINARY_DOUBLE) - 1.245833333333333) / 0.7517929083403303 AS "Feature_3" FROM "IRIS_STR_TGT" "ADS"), "SV_data_CLASS_0" AS (SELECT "Values".sv_idx AS sv_idx, "Values".dual_coeff AS dual_coeff, "Values".sv_0 AS sv_0, "Values".sv_1 AS sv_1, "Values".sv_2 AS sv_2, "Values".sv_3 AS sv_3 FROM (SELECT 0 AS sv_idx, -0.9571493305335342 AS dual_coeff, -0.9000528014162733 AS sv_0, 0.5875947511304064 AS sv_1, -1.2479450708119786 AS sv_2, -0.992072850194672 AS sv_3 FROM DUAL UNION ALL SELECT 1 AS sv_idx, 1.0 AS dual_coeff, -0.9000528014162733 AS sv_0, -1.2262025513943229 AS sv_1, -0.4913207760328543 AS sv_2, -0.1939807248983995 AS sv_3 FROM DUAL UNION ALL SELECT 2 AS sv_idx, 0.3596417692158151 AS dual_coeff, -1.1408696044707936 AS sv_0, -1.452927214209914 AS sv_1, -0.3167151695453643 AS sv_2, -0.326996079114445 AS sv_3 FROM DUAL UNION ALL SELECT 3 AS sv_idx, 0.1485117447120151 AS dual_coeff, 0.1836228123290722 AS sv_0, 0.8143194139459978 AS sv_1, 0.3817072564045966 AS sv_2, 0.4710960461818276 AS sv_3 FROM DUAL UNION ALL SELECT 4 AS sv_idx, -0.5510041833942959 AS dual_coeff, -1.6225032105798365 AS sv_0, -1.6796518770255056 AS sv_1, -1.480752546128632 AS sv_2, -1.2581035586267628 AS sv_3 FROM DUAL) "Values"), "kernel_dp_CLASS_0" AS (SELECT t."KEY" AS "KEY", t.dot_product AS dot_product FROM (SELECT full_join_data_sv."KEY" AS "KEY", sum(CAST(full_join_data_sv.dot_prod1 AS BINARY_DOUBLE)) + 0.955488189597331 AS dot_product FROM (SELECT kernel_input_with_scaling."KEY" AS "KEY", "SV_data_CLASS_0".dual_coeff * power(0.1 * (kernel_input_with_scaling."Feature_0" * "SV_data_CLASS_0".sv_0 + kernel_input_with_scaling."Feature_1" * "SV_data_CLASS_0".sv_1 + kernel_input_with_scaling."Feature_2" * "SV_data_CLASS_0".sv_2 + kernel_input_with_scaling."Feature_3" * "SV_data_CLASS_0".sv_3) + 1.0, 3.0) AS dot_prod1 FROM kernel_input_with_scaling, "SV_data_CLASS_0") full_join_data_sv GROUP BY full_join_data_sv."KEY") t), "OVR_Score_CLASS_0" AS (SELECT "kernel_dp_CLASS_0"."KEY" AS "KEY_CLASS_0", CAST(NULL AS BINARY_DOUBLE) AS "Proba_CLASS_0", "kernel_dp_CLASS_0".dot_product AS "Score_CLASS_0" FROM "kernel_dp_CLASS_0"), "SV_data_CLASS_1" AS (SELECT "Values".sv_idx AS sv_idx, "Values".dual_coeff AS dual_coeff, "Values".sv_0 AS sv_0, "Values".sv_1 AS sv_1, "Values".sv_2 AS sv_2, "Values".sv_3 AS sv_3 FROM (SELECT 0 AS sv_idx, -0.6994985315945682 AS dual_coeff, -0.9000528014162733 AS sv_0, 0.5875947511304064 AS sv_1, -1.2479450708119786 AS sv_2, -0.992072850194672 AS sv_3 FROM DUAL UNION ALL SELECT 1 AS sv_idx, 0.2616102377869339 AS dual_coeff, -1.1408696044707936 AS sv_0, -1.2262025513943229 AS sv_1, 0.3817072564045966 AS sv_2, 0.6041114003978728 AS sv_3 FROM DUAL UNION ALL SELECT 2 AS sv_idx, 0.5115379101782378 AS dual_coeff, 0.1836228123290722 AS sv_0, -0.0925792373163668 AS sv_1, 0.5563128628920867 AS sv_2, 0.7371267546139184 AS sv_3 FROM DUAL UNION ALL SELECT 3 AS sv_idx, -0.07364961637060362 AS dual_coeff, -1.6225032105798365 AS sv_0, -1.6796518770255056 AS sv_1, -1.480752546128632 AS sv_2, -1.2581035586267628 AS sv_3 FROM DUAL) "Values"), "kernel_dp_CLASS_1" AS (SELECT t_1."KEY" AS "KEY", t_1.dot_product AS dot_product FROM (SELECT full_join_data_sv_1."KEY" AS "KEY", sum(CAST(full_join_data_sv_1.dot_prod1 AS BINARY_DOUBLE)) + 0.477195991359971 AS dot_product FROM (SELECT kernel_input_with_scaling."KEY" AS "KEY", "SV_data_CLASS_1".dual_coeff * power(0.1 * (kernel_input_with_scaling."Feature_0" * "SV_data_CLASS_1".sv_0 + kernel_input_with_scaling."Feature_1" * "SV_data_CLASS_1".sv_1 + kernel_input_with_scaling."Feature_2" * "SV_data_CLASS_1".sv_2 + kernel_input_with_scaling."Feature_3" * "SV_data_CLASS_1".sv_3) + 1.0, 3.0) AS dot_prod1 FROM kernel_input_with_scaling, "SV_data_CLASS_1") full_join_data_sv_1 GROUP BY full_join_data_sv_1."KEY") t_1), "OVR_Score_CLASS_1" AS (SELECT "kernel_dp_CLASS_1"."KEY" AS "KEY_CLASS_1", CAST(NULL AS BINARY_DOUBLE) AS "Proba_CLASS_1", "kernel_dp_CLASS_1".dot_product AS "Score_CLASS_1" FROM "kernel_dp_CLASS_1"), "SV_data_CLASS_2" AS (SELECT "Values".sv_idx AS sv_idx, "Values".dual_coeff AS dual_coeff, "Values".sv_0 AS sv_0, "Values".sv_1 AS sv_1, "Values".sv_2 AS sv_2, "Values".sv_3 AS sv_3 FROM (SELECT 0 AS sv_idx, -1.0 AS dual_coeff, 0.18362281232907215 AS sv_0, -0.3193039001319582 AS sv_1, 0.3817072564045966 AS sv_2, 0.3380806919657821 AS sv_3 FROM DUAL UNION ALL SELECT 1 AS sv_idx, -1.0 AS dual_coeff, 1.1468900245471565 AS sv_0, -0.5460285629475496 AS sv_1, 0.5563128628920867 AS sv_2, 0.20506533774973654 AS sv_3 FROM DUAL UNION ALL SELECT 2 AS sv_idx, 0.9863791863267553 AS dual_coeff, 0.785664819965375 AS sv_0, -0.0925792373163668 AS sv_1, 0.7891203382087405 AS sv_2, 1.0031574630460092 AS sv_3 FROM DUAL UNION ALL SELECT 3 AS sv_idx, 1.0 AS dual_coeff, 0.3040312138563324 AS sv_0, -0.0925792373163668 AS sv_1, 0.6145147317212504 AS sv_2, 0.7371267546139184 AS sv_3 FROM DUAL UNION ALL SELECT 4 AS sv_idx, -1.0 AS dual_coeff, -0.2980107937799705 AS sv_0, -0.0925792373163668 AS sv_1, 0.3817072564045966 AS sv_2, 0.3380806919657821 AS sv_3 FROM DUAL UNION ALL SELECT 5 AS sv_idx, -1.0 AS dual_coeff, 0.5448480169108537 AS sv_0, 0.5875947511304064 AS sv_1, 0.4981109940629234 AS sv_2, 0.4710960461818276 AS sv_3 FROM DUAL UNION ALL SELECT 6 AS sv_idx, 1.0 AS dual_coeff, -1.1408696044707936 AS sv_0, -1.2262025513943229 AS sv_1, 0.3817072564045966 AS sv_2, 0.6041114003978728 AS sv_3 FROM DUAL UNION ALL SELECT 7 AS sv_idx, -0.38053375971508663 AS dual_coeff, -0.41841919530723065 AS sv_0, -1.6796518770255056 AS sv_1, 0.0906979122587796 AS sv_2, 0.07204998353369131 AS sv_3 FROM DUAL UNION ALL SELECT 8 AS sv_idx, 1.0 AS dual_coeff, 0.785664819965375 AS sv_0, 0.360870088314816 AS sv_1, 0.7309184693795766 AS sv_2, 1.0031574630460092 AS sv_3 FROM DUAL UNION ALL SELECT 9 AS sv_idx, -0.5697123124347064 AS dual_coeff, 0.5448480169108537 AS sv_0, -1.6796518770255056 AS sv_1, 0.3235053875754334 AS sv_2, 0.07204998353369131 AS sv_3 FROM DUAL UNION ALL SELECT 10 AS sv_idx, 1.0 AS dual_coeff, 0.5448480169108537 AS sv_0, -0.7727532257631398 AS sv_1, 0.6145147317212504 AS sv_2, 0.7371267546139184 AS sv_3 FROM DUAL UNION ALL SELECT 11 AS sv_idx, 1.0 AS dual_coeff, 0.06321441080181206 AS sv_0, -0.0925792373163668 AS sv_1, 0.7309184693795766 AS sv_2, 0.7371267546139184 AS sv_3 FROM DUAL UNION ALL SELECT 12 AS sv_idx, -0.8207206454724227 AS dual_coeff, -0.1776023922527093 AS sv_0, -0.5460285629475496 AS sv_1, 0.3817072564045966 AS sv_2, 0.07204998353369131 AS sv_3 FROM DUAL UNION ALL SELECT 13 AS sv_idx, -1.0 AS dual_coeff, 0.4244396153835936 AS sv_0, -1.906376539841096 AS sv_1, 0.3817072564045966 AS sv_2, 0.3380806919657821 AS sv_3 FROM DUAL UNION ALL SELECT 14 AS sv_idx, 0.8169245953366386 AS dual_coeff, 0.5448480169108537 AS sv_0, -0.3193039001319582 AS sv_1, 1.0219278135253935 AS sv_2, 0.7371267546139184 AS sv_3 FROM DUAL UNION ALL SELECT 15 AS sv_idx, 1.0 AS dual_coeff, 0.18362281232907215 AS sv_0, -0.0925792373163668 AS sv_1, 0.5563128628920867 AS sv_2, 0.7371267546139184 AS sv_3 FROM DUAL UNION ALL SELECT 16 AS sv_idx, 1.0 AS dual_coeff, 0.3040312138563324 AS sv_0, -0.9994778885787314 AS sv_1, 1.0219278135253935 AS sv_2, 0.20506533774973654 AS sv_3 FROM DUAL UNION ALL SELECT 17 AS sv_idx, 1.0 AS dual_coeff, -0.2980107937799705 AS sv_0, -0.5460285629475496 AS sv_1, 0.6145147317212504 AS sv_2, 1.0031574630460092 AS sv_3 FROM DUAL UNION ALL SELECT 18 AS sv_idx, 1.0 AS dual_coeff, 0.5448480169108537 AS sv_0, -0.5460285629475496 AS sv_1, 0.7309184693795766 AS sv_2, 0.3380806919657821 AS sv_3 FROM DUAL UNION ALL SELECT 19 AS sv_idx, 1.0 AS dual_coeff, 0.785664819965375 AS sv_0, -0.0925792373163668 AS sv_1, 0.9637259446962304 AS sv_2, 0.7371267546139184 AS sv_3 FROM DUAL UNION ALL SELECT 20 AS sv_idx, 0.00132308100422653 AS dual_coeff, -0.05719399072544915 AS sv_0, -0.7727532257631398 AS sv_1, 0.7309184693795766 AS sv_2, 0.8701421088299635 AS sv_3 FROM DUAL UNION ALL SELECT 21 AS sv_idx, 1.0 AS dual_coeff, 1.628523630656199 AS sv_0, -0.0925792373163668 AS sv_1, 1.1383315511837206 AS sv_2, 0.4710960461818276 AS sv_3 FROM DUAL UNION ALL SELECT 22 AS sv_idx, -1.0 AS dual_coeff, 0.06321441080181206 AS sv_0, 0.360870088314816 AS sv_1, 0.5563128628920867 AS sv_2, 0.7371267546139184 AS sv_3 FROM DUAL UNION ALL SELECT 23 AS sv_idx, -0.033660145045404814 AS dual_coeff, 0.18362281232907215 AS sv_0, 0.8143194139459978 AS sv_1, 0.3817072564045966 AS sv_2, 0.4710960461818276 AS sv_3 FROM DUAL UNION ALL SELECT 24 AS sv_idx, -1.0 AS dual_coeff, 1.0264816230198963 AS sv_0, 0.13414542549922462 AS sv_1, 0.4981109940629234 AS sv_2, 0.3380806919657821 AS sv_3 FROM DUAL UNION ALL SELECT 25 AS sv_idx, -1.0 AS dual_coeff, 0.5448480169108537 AS sv_0, -1.2262025513943229 AS sv_1, 0.6145147317212504 AS sv_2, 0.3380806919657821 AS sv_3 FROM DUAL UNION ALL SELECT 26 AS sv_idx, 1.0 AS dual_coeff, 0.18362281232907215 AS sv_0, -1.906376539841096 AS sv_1, 0.6727166005504135 AS sv_2, 0.3380806919657821 AS sv_3 FROM DUAL UNION ALL SELECT 27 AS sv_idx, -1.0 AS dual_coeff, 0.3040312138563324 AS sv_0, -0.3193039001319582 AS sv_1, 0.4981109940629234 AS sv_2, 0.20506533774973654 AS sv_3 FROM DUAL UNION ALL SELECT 28 AS sv_idx, -1.0 AS dual_coeff, -0.5388275968344908 AS sv_0, -0.0925792373163668 AS sv_1, 0.3817072564045966 AS sv_2, 0.3380806919657821 AS sv_3 FROM DUAL UNION ALL SELECT 29 AS sv_idx, -1.0 AS dual_coeff, 1.0264816230198963 AS sv_0, -0.0925792373163668 AS sv_1, 0.6727166005504135 AS sv_2, 0.6041114003978728 AS sv_3 FROM DUAL UNION ALL SELECT 30 AS sv_idx, -1.0 AS dual_coeff, 1.2672984260744176 AS sv_0, 0.13414542549922462 AS sv_1, 0.6145147317212504 AS sv_2, 0.3380806919657821 AS sv_3 FROM DUAL) "Values"), "kernel_dp_CLASS_2" AS (SELECT t_2."KEY" AS "KEY", t_2.dot_product AS dot_product FROM (SELECT full_join_data_sv_2."KEY" AS "KEY", sum(CAST(full_join_data_sv_2.dot_prod1 AS BINARY_DOUBLE)) + -1.79332604680844 AS dot_product FROM (SELECT kernel_input_with_scaling."KEY" AS "KEY", "SV_data_CLASS_2".dual_coeff * power(0.1 * (kernel_input_with_scaling."Feature_0" * "SV_data_CLASS_2".sv_0 + kernel_input_with_scaling."Feature_1" * "SV_data_CLASS_2".sv_1 + kernel_input_with_scaling."Feature_2" * "SV_data_CLASS_2".sv_2 + kernel_input_with_scaling."Feature_3" * "SV_data_CLASS_2".sv_3) + 1.0, 3.0) AS dot_prod1 FROM kernel_input_with_scaling, "SV_data_CLASS_2") full_join_data_sv_2 GROUP BY full_join_data_sv_2."KEY") t_2), "OVR_Score_CLASS_2" AS (SELECT "kernel_dp_CLASS_2"."KEY" AS "KEY_CLASS_2", CAST(NULL AS BINARY_DOUBLE) AS "Proba_CLASS_2", "kernel_dp_CLASS_2".dot_product AS "Score_CLASS_2" FROM "kernel_dp_CLASS_2"), "OVR_Join_CTE" AS (SELECT "OVR_Score_CLASS_0"."KEY_CLASS_0" AS "KEY_CLASS_0", "OVR_Score_CLASS_0"."Proba_CLASS_0" AS "Proba_CLASS_0", "OVR_Score_CLASS_0"."Score_CLASS_0" AS "Score_CLASS_0", "OVR_Score_CLASS_1"."KEY_CLASS_1" AS "KEY_CLASS_1", "OVR_Score_CLASS_1"."Proba_CLASS_1" AS "Proba_CLASS_1", "OVR_Score_CLASS_1"."Score_CLASS_1" AS "Score_CLASS_1", "OVR_Score_CLASS_2"."KEY_CLASS_2" AS "KEY_CLASS_2", "OVR_Score_CLASS_2"."Proba_CLASS_2" AS "Proba_CLASS_2", "OVR_Score_CLASS_2"."Score_CLASS_2" AS "Score_CLASS_2" FROM "OVR_Score_CLASS_0" LEFT OUTER JOIN "OVR_Score_CLASS_1" ON "OVR_Score_CLASS_0"."KEY_CLASS_0" = "OVR_Score_CLASS_1"."KEY_CLASS_1" LEFT OUTER JOIN "OVR_Score_CLASS_2" ON "OVR_Score_CLASS_2"."KEY_CLASS_2" = "OVR_Score_CLASS_1"."KEY_CLASS_1"), orig_cte AS (SELECT "OVR_Join_CTE"."KEY_CLASS_0" AS "KEY", "OVR_Join_CTE"."Score_CLASS_0" AS "Score_CLASS_0", "OVR_Join_CTE"."Score_CLASS_1" AS "Score_CLASS_1", "OVR_Join_CTE"."Score_CLASS_2" AS "Score_CLASS_2", "OVR_Join_CTE"."Proba_CLASS_0" / ("OVR_Join_CTE"."Proba_CLASS_0" + "OVR_Join_CTE"."Proba_CLASS_1" + "OVR_Join_CTE"."Proba_CLASS_2") AS "Proba_CLASS_0", "OVR_Join_CTE"."Proba_CLASS_1" / ("OVR_Join_CTE"."Proba_CLASS_0" + "OVR_Join_CTE"."Proba_CLASS_1" + "OVR_Join_CTE"."Proba_CLASS_2") AS "Proba_CLASS_1", "OVR_Join_CTE"."Proba_CLASS_2" / ("OVR_Join_CTE"."Proba_CLASS_0" + "OVR_Join_CTE"."Proba_CLASS_1" + "OVR_Join_CTE"."Proba_CLASS_2") AS "Proba_CLASS_2", CAST(NULL AS BINARY_DOUBLE) AS "LogProba_CLASS_0", CAST(NULL AS BINARY_DOUBLE) AS "LogProba_CLASS_1", CAST(NULL AS BINARY_DOUBLE) AS "LogProba_CLASS_2", CAST(NULL AS NUMBER(19)) AS "Decision", CAST(NULL AS BINARY_DOUBLE) AS "DecisionProba" FROM "OVR_Join_CTE"), score_class_union AS (SELECT scu."KEY_u" AS "KEY_u", scu.class AS class, scu."LogProba" AS "LogProba", scu."Proba" AS "Proba", scu."Score" AS "Score" FROM (SELECT orig_cte."KEY" AS "KEY_u", 'CLASS_0' AS class, orig_cte."LogProba_CLASS_0" AS "LogProba", orig_cte."Proba_CLASS_0" AS "Proba", orig_cte."Score_CLASS_0" AS "Score" FROM orig_cte UNION ALL SELECT orig_cte."KEY" AS "KEY_u", 'CLASS_1' AS class, orig_cte."LogProba_CLASS_1" AS "LogProba", orig_cte."Proba_CLASS_1" AS "Proba", orig_cte."Score_CLASS_1" AS "Score" FROM orig_cte UNION ALL SELECT orig_cte."KEY" AS "KEY_u", 'CLASS_2' AS class, orig_cte."LogProba_CLASS_2" AS "LogProba", orig_cte."Proba_CLASS_2" AS "Proba", orig_cte."Score_CLASS_2" AS "Score" FROM orig_cte) scu), score_max AS (SELECT orig_cte."KEY" AS "KEY", orig_cte."Score_CLASS_0" AS "Score_CLASS_0", orig_cte."Score_CLASS_1" AS "Score_CLASS_1", orig_cte."Score_CLASS_2" AS "Score_CLASS_2", orig_cte."Proba_CLASS_0" AS "Proba_CLASS_0", orig_cte."Proba_CLASS_1" AS "Proba_CLASS_1", orig_cte."Proba_CLASS_2" AS "Proba_CLASS_2", orig_cte."LogProba_CLASS_0" AS "LogProba_CLASS_0", orig_cte."LogProba_CLASS_1" AS "LogProba_CLASS_1", orig_cte."LogProba_CLASS_2" AS "LogProba_CLASS_2", orig_cte."Decision" AS "Decision", orig_cte."DecisionProba" AS "DecisionProba", max_select."KEY_m" AS "KEY_m", max_select."max_Score" AS "max_Score" FROM orig_cte LEFT OUTER JOIN (SELECT score_class_union."KEY_u" AS "KEY_m", max(score_class_union."Score") AS "max_Score" FROM score_class_union GROUP BY score_class_union."KEY_u") max_select ON orig_cte."KEY" = max_select."KEY_m"), union_with_max AS (SELECT score_class_union."KEY_u" AS "KEY_u", score_class_union.class AS class, score_class_union."LogProba" AS "LogProba", score_class_union."Proba" AS "Proba", score_class_union."Score" AS "Score", score_max."KEY" AS "KEY", score_max."Score_CLASS_0" AS "Score_CLASS_0", score_max."Score_CLASS_1" AS "Score_CLASS_1", score_max."Score_CLASS_2" AS "Score_CLASS_2", score_max."Proba_CLASS_0" AS "Proba_CLASS_0", score_max."Proba_CLASS_1" AS "Proba_CLASS_1", score_max."Proba_CLASS_2" AS "Proba_CLASS_2", score_max."LogProba_CLASS_0" AS "LogProba_CLASS_0", score_max."LogProba_CLASS_1" AS "LogProba_CLASS_1", score_max."LogProba_CLASS_2" AS "LogProba_CLASS_2", score_max."Decision" AS "Decision", score_max."DecisionProba" AS "DecisionProba", score_max."KEY_m" AS "KEY_m", score_max."max_Score" AS "max_Score" FROM score_class_union LEFT OUTER JOIN score_max ON score_class_union."KEY_u" = score_max."KEY"), arg_max_cte AS (SELECT score_max."KEY" AS "KEY", score_max."Score_CLASS_0" AS "Score_CLASS_0", score_max."Score_CLASS_1" AS "Score_CLASS_1", score_max."Score_CLASS_2" AS "Score_CLASS_2", score_max."Proba_CLASS_0" AS "Proba_CLASS_0", score_max."Proba_CLASS_1" AS "Proba_CLASS_1", score_max."Proba_CLASS_2" AS "Proba_CLASS_2", score_max."LogProba_CLASS_0" AS "LogProba_CLASS_0", score_max."LogProba_CLASS_1" AS "LogProba_CLASS_1", score_max."LogProba_CLASS_2" AS "LogProba_CLASS_2", score_max."Decision" AS "Decision", score_max."DecisionProba" AS "DecisionProba", score_max."KEY_m" AS "KEY_m", score_max."max_Score" AS "max_Score", "arg_max_t_Score"."KEY_Score" AS "KEY_Score", "arg_max_t_Score"."arg_max_Score" AS "arg_max_Score" FROM score_max LEFT OUTER JOIN (SELECT union_with_max."KEY" AS "KEY_Score", max(union_with_max.class) AS "arg_max_Score" FROM union_with_max WHERE union_with_max."max_Score" <= union_with_max."Score" GROUP BY union_with_max."KEY") "arg_max_t_Score" ON score_max."KEY" = "arg_max_t_Score"."KEY_Score") SELECT arg_max_cte."KEY" AS "KEY", arg_max_cte."Score_CLASS_0" AS "Score_CLASS_0", arg_max_cte."Score_CLASS_1" AS "Score_CLASS_1", arg_max_cte."Score_CLASS_2" AS "Score_CLASS_2", arg_max_cte."Proba_CLASS_0" AS "Proba_CLASS_0", arg_max_cte."Proba_CLASS_1" AS "Proba_CLASS_1", arg_max_cte."Proba_CLASS_2" AS "Proba_CLASS_2", CASE WHEN (arg_max_cte."Proba_CLASS_0" IS NULL OR arg_max_cte."Proba_CLASS_0" > 0.0) THEN ln(arg_max_cte."Proba_CLASS_0") ELSE -BINARY_DOUBLE_INFINITY END AS "LogProba_CLASS_0", CASE WHEN (arg_max_cte."Proba_CLASS_1" IS NULL OR arg_max_cte."Proba_CLASS_1" > 0.0) THEN ln(arg_max_cte."Proba_CLASS_1") ELSE -BINARY_DOUBLE_INFINITY END AS "LogProba_CLASS_1", CASE WHEN (arg_max_cte."Proba_CLASS_2" IS NULL OR arg_max_cte."Proba_CLASS_2" > 0.0) THEN ln(arg_max_cte."Proba_CLASS_2") ELSE -BINARY_DOUBLE_INFINITY END AS "LogProba_CLASS_2", arg_max_cte."arg_max_Score" AS "Decision", CASE WHEN (arg_max_cte."arg_max_Score" = 'CLASS_0') THEN arg_max_cte."Proba_CLASS_0" WHEN (arg_max_cte."arg_max_Score" = 'CLASS_1') THEN arg_max_cte."Proba_CLASS_1" WHEN (arg_max_cte."arg_max_Score" = 'CLASS_2') THEN arg_max_cte."Proba_CLASS_2" END AS "DecisionProba" FROM arg_max_cte
CREATE TABLE oauth_clients ( client_id VARCHAR(80) NOT NULL, client_secret VARCHAR(80) NOT NULL, redirect_uri VARCHAR(2000) NOT NULL, grant_types VARCHAR(80), scope VARCHAR(2000), user_id VARCHAR(255), CONSTRAINT clients_client_id_pk PRIMARY KEY (client_id) ); CREATE TABLE oauth_access_tokens ( access_token VARCHAR(40) NOT NULL, client_id VARCHAR(80) NOT NULL, user_id VARCHAR(255), expires TIMESTAMP NOT NULL, scope VARCHAR(2000), CONSTRAINT access_token_pk PRIMARY KEY (access_token) ); CREATE TABLE oauth_authorization_codes ( authorization_code VARCHAR(40) NOT NULL, client_id VARCHAR(80) NOT NULL, user_id VARCHAR(255), redirect_uri VARCHAR(2000), expires TIMESTAMP NOT NULL, scope VARCHAR(2000), id_token VARCHAR(2000), CONSTRAINT auth_code_pk PRIMARY KEY (authorization_code) ); CREATE TABLE oauth_refresh_tokens ( refresh_token VARCHAR(40) NOT NULL, client_id VARCHAR(80) NOT NULL, user_id VARCHAR(255), expires TIMESTAMP NOT NULL, scope VARCHAR(2000), CONSTRAINT refresh_token_pk PRIMARY KEY (refresh_token) ); CREATE TABLE oauth_users ( username VARCHAR(255) NOT NULL, password VARCHAR(<PASSWORD>), first_name VARCHAR(255), last_name VARCHAR(255), CONSTRAINT username_pk PRIMARY KEY (username) ); CREATE TABLE oauth_scopes ( type VARCHAR(255) NOT NULL DEFAULT "supported", scope VARCHAR(2000), client_id VARCHAR (80), is_default SMALLINT DEFAULT NULL ); CREATE TABLE oauth_jwt ( client_id VARCHAR(80) NOT NULL, subject VARCHAR(80), public_key VARCHAR(2000), CONSTRAINT jwt_client_id_pk PRIMARY KEY (client_id) );
<reponame>yulin-dong/ortelius drop index cvm_transactions_transaction_id ON cvm_transactions; alter table `cvm_transactions` drop column `transaction_id`;
<gh_stars>1-10 --TEST: test with bit strings and blob/clob data types and normal syntax create table min_bbc( col1 bit(20), col2 bit varying, col3 blob, col4 clob, col5 double ); insert into min_bbc values(B'1011', X'abc', X'0', '123', 123.5678); insert into min_bbc values(B'1011', x'bcd', X'1', '11111', 123.1234); insert into min_bbc values(B'1011', X'abc', X'2', '9898', 123.2345); insert into min_bbc values(B'1011', x'bcd', X'3', '123.456', 123.5678); insert into min_bbc values(B'1011', X'abc', X'4', '9999999', 123.1234); insert into min_bbc values(B'1001', x'bcd', X'5', '9999999', 123.2345); insert into min_bbc values(B'1001', X'abc', X'6', '123', 123.3456); insert into min_bbc values(B'1001', X'abc', X'7', '123', 123.3456); insert into min_bbc values(B'1001', X'cde', X'8', '123.456', 123.3456); insert into min_bbc values(B'0011', X'abc', X'9', '7766', 123.5678); insert into min_bbc values(B'0011', X'abc', X'10', '9898', 123.4567); insert into min_bbc values(B'0011', X'cde', X'11', '123.456', 123.5678); insert into min_bbc values(B'1010', X'abc', X'12', '3333', 123.1234); insert into min_bbc values(B'1111', X'abc', X'13', '123', 123.4567); insert into min_bbc values(B'1111', x'bcd', X'14', '9898', 123.2345); insert into min_bbc values(B'1111', X'abc', X'15', '7766', 123.4567); insert into min_bbc values(B'1111', X'abc', X'16', '9898', 123.1357); insert into min_bbc values(B'1111', X'cde', X'17', '123', 123.1357); insert into min_bbc values(B'1111', X'abc', X'18', '999999', 123.9999); insert into min_bbc values(B'1111', X'abc', X'19', '9999999', 123.9999); --TEST: OVER() clause --TEST: bit(n) select col1, col2, min(col5) over() from min_bbc order by 1, 2; --TEST: bit varying, with alias+all select col2, blob_to_bit(col3), min(all col5) over() minimum from min_bbc order by 1, blob_to_bit(col3); --TEST: blob, with where clause select blob_to_bit(col3), clob_to_char(col4), min(col5) over() minimum from min_bbc where col1 > B'1011' order by blob_to_bit(col3), clob_to_char(col4); --TEST: clob, distinct select clob_to_char(col4), col1, min(unique clob_to_char(col4)) over() minimum from min_bbc order by clob_to_char(col4), 2; --TEST: syntax error select col1, blob_to_bit(col3), clob_to_char(col4), min(col5) over minimum from min_bbc; select col1, blob_to_bit(col3), col2, min(col5) over(1) minimum from min_bbc; --TEST: OVER(PARTITION BY) clause --TEST: partition by bit(n) select col1, col2, blob_to_bit(col3), clob_to_char(col4), min(col5) over(partition by col1) minimum from min_bbc order by 1, 2, blob_to_bit(col3), clob_to_char(col4); --TEST: partition by bit varying select col1, col2, blob_to_bit(col3), clob_to_char(col4), min(all clob_to_char(col4)) over(partition by col2) minimum from min_bbc order by 2, 1, blob_to_bit(col3), clob_to_char(col4); --TEST: partition by blob select col1, col2, blob_to_bit(col3), clob_to_char(col4), min(distinctrow col5) over(partition by 3) minimum from min_bbc order by blob_to_bit(col3), 1, 2, clob_to_char(col4); --TEST: partition by clob select col1, col2, blob_to_bit(col3), clob_to_char(col4), min(all col5) over(partition by 4) minimum from min_bbc order by clob_to_char(col4), 1, 2, blob_to_bit(col3), 5; --TEST: OVER(ORDER BY) clause --TEST: order by 1 column name select col1, min(col5) over(order by col1) minimum from min_bbc; --TEST: order by 2 column names select col2, blob_to_bit(col3), min(all clob_to_char(col4)) over(order by col2, blob_to_bit(col3) asc) minimum from min_bbc; --TEST: order by more than 2 column names select col1, col2, blob_to_bit(col3), clob_to_char(col4), min(unique col5) over(order by col1, col2 desc, blob_to_bit(col3), clob_to_char(col4) asc) minimum from min_bbc; --TEST: order by columns not selected select blob_to_bit(col3), min(distinct clob_to_char(col4)) over(order by clob_to_char(col4) desc, col2, col1 asc) minimum from min_bbc order by 1, 2; --TEST: order by 1 position select clob_to_char(col4), min(all col5) over(order by 1) minimum from min_bbc; --TEST: order by 3 positions select blob_to_bit(col3), col2, min(clob_to_char(col4)) over(order by blob_to_bit(col3), 2 desc, 3 asc) minimum from min_bbc; --TEST: order by more than 3 positions select col1, col2, blob_to_bit(col3), clob_to_char(col4), min(unique col5) over(order by blob_to_bit(col3), 2 asc, 1 desc, clob_to_char(col4)) minimum from min_bbc; --TEST: order by positions not existed select col2, min(distinct col5) over(order by 2) minimum from min_bbc; select col1, min(all col5) over(order by 3, 4, 1 desc) minimum, col2, clob_to_char(col4) from min_bbc; select blob_to_bit(col3), clob_to_char(col4), min(col5) over(order by 5) minimum from min_bbc; select blob_to_bit(col3), col1, min(col5) over(order by 100) minimum from min_bbc; --TEST: order by column names and positions select col1, col2, blob_to_bit(col3), clob_to_char(col4), min(distinctrow col5) over(order by 1, col2 desc, 3, clob_to_char(col4) asc) minimum from min_bbc; --TEST: OVER(PARTITION BY ORDER BY) clause --TEST: partition by bit(n) select col1, col2, blob_to_bit(col3), min(distinct clob_to_char(col4)) over(partition by col1 order by 1, 2, blob_to_bit(col3)) from min_bbc; --TEST: partition by bit varying select col2, clob_to_char(col4), col1, min(col5) over(partition by col2 order by col2, clob_to_char(col4), col1 desc) from min_bbc; --TEST: partition by blob select blob_to_bit(col3), min(all clob_to_char(col4)) over(partition by 1 order by blob_to_bit(col3), clob_to_char(col4), 3) minimum, col2 from min_bbc order by 1, 2; --TEST: partition by clob select clob_to_char(col4), col1, min(unique col5) over(partition by 1 order by clob_to_char(col4), 2 desc) minimum from min_bbc; --TEST: syntax error select col1, col2, min(distinct col5) over(order by col1, col2 partition by col2) from min_bbc; delete from min_bbc; drop table min_bbc;
EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2017-09-30',@EPS = N'0.34',@EPSDeduct = N'0',@Revenue = N'44.73亿',@RevenueYoy = N'70.60',@RevenueQoq = N'35.69',@Profit = N'3.66亿',@ProfitYoy = N'41.41',@ProfiltQoq = N'27.77',@NAVPerUnit = N'2.6476',@ROE = N'14.53',@CashPerUnit = N'0.4835',@GrossProfitRate = N'16.36',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2017-10-21' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2017-09-30',@EPS = N'0.34',@EPSDeduct = N'0',@Revenue = N'44.73亿',@RevenueYoy = N'70.60',@RevenueQoq = N'35.69',@Profit = N'3.66亿',@ProfitYoy = N'41.41',@ProfiltQoq = N'27.77',@NAVPerUnit = N'2.6476',@ROE = N'14.53',@CashPerUnit = N'0.4835',@GrossProfitRate = N'16.36',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2017-10-21' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2016-09-30',@EPS = N'0.37',@EPSDeduct = N'0',@Revenue = N'26.22亿',@RevenueYoy = N'16.91',@RevenueQoq = N'2168.16',@Profit = N'2.59亿',@ProfitYoy = N'71.47',@ProfiltQoq = N'275.66',@NAVPerUnit = N'2.1605',@ROE = N'15.29',@CashPerUnit = N'0.6960',@GrossProfitRate = N'22.95',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2017-10-21' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2016-06-30',@EPS = N'0.27',@EPSDeduct = N'0.26',@Revenue = N'16.77亿',@RevenueYoy = N'-82.34',@RevenueQoq = N'-16.06',@Profit = N'1.58亿',@ProfitYoy = N'37.61',@ProfiltQoq = N'-31.15',@NAVPerUnit = N'-0.9801',@ROE = N'10.80',@CashPerUnit = N'1.2088',@GrossProfitRate = N'23.22',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2017-08-16' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2016-03-31',@EPS = N'0.1',@EPSDeduct = N'0',@Revenue = N'7.16亿',@RevenueYoy = N'-80.48',@RevenueQoq = N'-67.60',@Profit = N'5373.58万',@ProfitYoy = N'37.44',@ProfiltQoq = N'34.16',@NAVPerUnit = N'-0.8376',@ROE = N'3.82',@CashPerUnit = N'0.6664',@GrossProfitRate = N'22.38',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2017-04-20' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2015-12-31',@EPS = N'0.46',@EPSDeduct = N'0.45',@Revenue = N'30.88亿',@RevenueYoy = N'-19.79',@RevenueQoq = N'-21.80',@Profit = N'2.65亿',@ProfitYoy = N'12.43',@ProfiltQoq = N'-69.37',@NAVPerUnit = N'3.5417',@ROE = N'21.29',@CashPerUnit = N'2.0257',@GrossProfitRate = N'22.60',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2017-04-06' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2015-09-30',@EPS = N'0.26',@EPSDeduct = N'0',@Revenue = N'7.13亿',@RevenueYoy = N'-0.24',@RevenueQoq = N'-25.42',@Profit = N'-2.01亿',@ProfitYoy = N'24.95',@ProfiltQoq = N'57.43',@NAVPerUnit = N'-0.5472',@ROE = N'13.51',@CashPerUnit = N'1.5600',@GrossProfitRate = N'21.15',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2016-10-26' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2015-06-30',@EPS = N'-0.42',@EPSDeduct = N'-0.42',@Revenue = N'5.17亿',@RevenueYoy = N'8.56',@RevenueQoq = N'3.33',@Profit = N'-1.62亿',@ProfitYoy = N'16.37',@ProfiltQoq = N'-31.78',@NAVPerUnit = N'-0.4280',@ROE = N'218.47',@CashPerUnit = N'0.7269',@GrossProfitRate = N'-17.92',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2016-08-31' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2015-03-31',@EPS = N'-0.18',@EPSDeduct = N'0',@Revenue = N'2.54亿',@RevenueYoy = N'15.65',@RevenueQoq = N'-30.36',@Profit = N'-6993.97万',@ProfitYoy = N'-2.63',@ProfiltQoq = N'-86.37',@NAVPerUnit = N'-0.1669',@ROE = N'-',@CashPerUnit = N'0.2011',@GrossProfitRate = N'-20.92',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2016-04-29' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2014-12-31',@EPS = N'-0.78',@EPSDeduct = N'0.37',@Revenue = N'10.80亿',@RevenueYoy = N'-34.21',@RevenueQoq = N'53.13',@Profit = N'-3.06亿',@ProfitYoy = N'-2994.98',@ProfiltQoq = N'49.58',@NAVPerUnit = N'0.0176',@ROE = N'25.05',@CashPerUnit = N'0.1228',@GrossProfitRate = N'-16.00',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2016-04-29' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2014-09-30',@EPS = N'-0.69',@EPSDeduct = N'0',@Revenue = N'7.15亿',@RevenueYoy = N'-35.90',@RevenueQoq = N'-6.99',@Profit = N'-2.68亿',@ProfitYoy = N'-14442.07',@ProfiltQoq = N'40.78',@NAVPerUnit = N'0.1127',@ROE = N'-150.00',@CashPerUnit = N'0.3979',@GrossProfitRate = N'-24.37',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2015-10-31' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2014-06-30',@EPS = N'-0.5',@EPSDeduct = N'-0.5',@Revenue = N'4.76亿',@RevenueYoy = N'-33.71',@RevenueQoq = N'16.61',@Profit = N'-1.94亿',@ProfitYoy = N'-4705.29',@ProfiltQoq = N'-84.45',@NAVPerUnit = N'0.3036',@ROE = N'-90.03',@CashPerUnit = N'0.0956',@GrossProfitRate = N'-25.36',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2015-08-22' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2014-03-31',@EPS = N'-0.17',@EPSDeduct = N'0',@Revenue = N'2.20亿',@RevenueYoy = N'-26.13',@RevenueQoq = N'-58.23',@Profit = N'-6814.45万',@ProfitYoy = N'-1425.39',@ProfiltQoq = N'-883.93',@NAVPerUnit = N'0.6259',@ROE = N'-24.40',@CashPerUnit = N'0.0410',@GrossProfitRate = N'-13.61',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2015-04-30' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2013-12-31',@EPS = N'0.03',@EPSDeduct = N'-0.06',@Revenue = N'16.42亿',@RevenueYoy = N'0.14',@RevenueQoq = N'32.72',@Profit = N'1056.32万',@ProfitYoy = N'-38.79',@ProfiltQoq = N'471.72',@NAVPerUnit = N'0.8006',@ROE = N'3.46',@CashPerUnit = N'-0.1019',@GrossProfitRate = N'4.65',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2015-03-03' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2013-09-30',@EPS = N'0.005',@EPSDeduct = N'0',@Revenue = N'11.15亿',@RevenueYoy = N'-1.80',@RevenueQoq = N'-5.73',@Profit = N'187.05万',@ProfitYoy = N'104.66',@ProfiltQoq = N'-150.79',@NAVPerUnit = N'0.7725',@ROE = N'0.62',@CashPerUnit = N'-0.8585',@GrossProfitRate = N'1.89',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2014-10-31' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2017-06-30',@EPS = N'0.22',@EPSDeduct = N'0.21',@Revenue = N'25.67亿',@RevenueYoy = N'53.09',@RevenueQoq = N'20.94',@Profit = N'2.28亿',@ProfitYoy = N'44.83',@ProfiltQoq = N'-11.39',@NAVPerUnit = N'2.5185',@ROE = N'8.92',@CashPerUnit = N'0.3211',@GrossProfitRate = N'19.32',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2017-08-16' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2013-06-30',@EPS = N'0.01',@EPSDeduct = N'-0.04',@Revenue = N'7.19亿',@RevenueYoy = N'-7.48',@RevenueQoq = N'41.36',@Profit = N'420.90万',@ProfitYoy = N'110.19',@ProfiltQoq = N'-118.14',@NAVPerUnit = N'0.7785',@ROE = N'1.40',@CashPerUnit = N'-0.3943',@GrossProfitRate = N'2.87',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2014-08-21' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2012-12-31',@EPS = N'0.04',@EPSDeduct = N'-0.26',@Revenue = N'16.40亿',@RevenueYoy = N'5.25',@RevenueQoq = N'40.31',@Profit = N'1725.68万',@ProfitYoy = N'104.61',@ProfiltQoq = N'4845.61',@NAVPerUnit = N'0.7667',@ROE = N'6.01',@CashPerUnit = N'0.1675',@GrossProfitRate = N'0.09',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2014-04-18' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2013-03-31',@EPS = N'0.01',@EPSDeduct = N'0.01',@Revenue = N'2.98亿',@RevenueYoy = N'-15.62',@RevenueQoq = N'-40.91',@Profit = N'514.15万',@ProfitYoy = N'108.73',@ProfiltQoq = N'-91.05',@NAVPerUnit = N'0.7797',@ROE = N'1.70',@CashPerUnit = N'0.0239',@GrossProfitRate = N'6.98',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2014-04-25' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2016-12-31',@EPS = N'0.5',@EPSDeduct = N'0.45',@Revenue = N'37.98亿',@RevenueYoy = N'23.00',@RevenueQoq = N'24.40',@Profit = N'4.01亿',@ProfitYoy = N'51.34',@ProfiltQoq = N'41.64',@NAVPerUnit = N'2.3034',@ROE = N'22.24',@CashPerUnit = N'0.8847',@GrossProfitRate = N'22.77',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2017-04-06' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2012-06-30',@EPS = N'-0.11',@EPSDeduct = N'-0.11',@Revenue = N'7.77亿',@RevenueYoy = N'-7.44',@RevenueQoq = N'20.13',@Profit = N'-4132.36万',@ProfitYoy = N'74.84',@ProfiltQoq = N'129.81',@NAVPerUnit = N'0.6048',@ROE = N'-16.18',@CashPerUnit = N'0.1259',@GrossProfitRate = N'-0.98',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2013-08-28' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2011-12-31',@EPS = N'-0.96',@EPSDeduct = N'-0.92',@Revenue = N'15.58亿',@RevenueYoy = N'-1.07',@RevenueQoq = N'70.64',@Profit = N'-3.74亿',@ProfitYoy = N'-2336.17',@ProfiltQoq = N'-379.93',@NAVPerUnit = N'0.7048',@ROE = N'-81.62',@CashPerUnit = N'0.1894',@GrossProfitRate = N'-15.63',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2013-03-29' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2011-09-30',@EPS = N'-0.51',@EPSDeduct = N'-0.47',@Revenue = N'11.05亿',@RevenueYoy = N'2.88',@RevenueQoq = N'-44.89',@Profit = N'-2.00亿',@ProfitYoy = N'-94.47',@ProfiltQoq = N'60.93',@NAVPerUnit = N'1.1450',@ROE = N'-36.56',@CashPerUnit = N'0.1959',@GrossProfitRate = N'-7.09',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2012-10-23' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2011-06-30',@EPS = N'-0.42',@EPSDeduct = N'-0.36',@Revenue = N'8.39亿',@RevenueYoy = N'7.51',@RevenueQoq = N'34.87',@Profit = N'-1.64亿',@ProfitYoy = N'-90.53',@ProfiltQoq = N'-29.57',@NAVPerUnit = N'1.2380',@ROE = N'-29.20',@CashPerUnit = N'-0.0199',@GrossProfitRate = N'-7.96',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2012-08-18' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2011-03-31',@EPS = N'-0.18',@EPSDeduct = N'0',@Revenue = N'3.57亿',@RevenueYoy = N'-8.62',@RevenueQoq = N'-28.67',@Profit = N'-7153.75万',@ProfitYoy = N'-388.02',@ProfiltQoq = N'-159.71',@NAVPerUnit = N'1.4600',@ROE = N'-11.74',@CashPerUnit = N'-0.1618',@GrossProfitRate = N'-8.13',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2012-04-19' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2010-12-31',@EPS = N'0.04',@EPSDeduct = N'-0.39',@Revenue = N'15.75亿',@RevenueYoy = N'7.73',@RevenueQoq = N'70.82',@Profit = N'1673.69万',@ProfitYoy = N'107.16',@ProfiltQoq = N'645.54',@NAVPerUnit = N'1.6467',@ROE = N'2.65',@CashPerUnit = N'0.5060',@GrossProfitRate = N'0.11',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2012-04-19' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2010-09-30',@EPS = N'-0.26',@EPSDeduct = N'-0.29',@Revenue = N'10.74亿',@RevenueYoy = N'-2.14',@RevenueQoq = N'-24.72',@Profit = N'-1.03亿',@ProfitYoy = N'-42.03',@ProfiltQoq = N'66.95',@NAVPerUnit = N'1.3200',@ROE = N'-18.15',@CashPerUnit = N'0.0002',@GrossProfitRate = N'-4.53',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2011-10-31' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2010-06-30',@EPS = N'-0.22',@EPSDeduct = N'-0.21',@Revenue = N'7.81亿',@RevenueYoy = N'11.62',@RevenueQoq = N'-0.37',@Profit = N'-8619.84万',@ProfitYoy = N'-103.01',@ProfiltQoq = N'-353.33',@NAVPerUnit = N'1.3800',@ROE = N'-14.01',@CashPerUnit = N'-0.3308',@GrossProfitRate = N'0.49',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2011-08-29' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2010-03-31',@EPS = N'-0.04',@EPSDeduct = N'-0.038',@Revenue = N'3.91亿',@RevenueYoy = N'-11.57',@RevenueQoq = N'7.29',@Profit = N'-1465.87万',@ProfitYoy = N'12.70',@ProfiltQoq = N'90.90',@NAVPerUnit = N'1.5500',@ROE = N'-2.40',@CashPerUnit = N'-0.1210',@GrossProfitRate = N'1.43',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2011-04-26' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2009-12-31',@EPS = N'-0.6',@EPSDeduct = N'-0.61',@Revenue = N'14.62亿',@RevenueYoy = N'-17.91',@RevenueQoq = N'-8.44',@Profit = N'-2.34亿',@ProfitYoy = N'-332.95',@ProfiltQoq = N'-393.94',@NAVPerUnit = N'1.5800',@ROE = N'-31.83',@CashPerUnit = N'-0.0869',@GrossProfitRate = N'-7.88',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2011-03-09' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2009-09-30',@EPS = N'-0.19',@EPSDeduct = N'-0.18',@Revenue = N'10.97亿',@RevenueYoy = N'-27.02',@RevenueQoq = N'54.81',@Profit = N'-7257.05万',@ProfitYoy = N'-315.55',@ProfiltQoq = N'-40.82',@NAVPerUnit = N'1.9900',@ROE = N'-',@CashPerUnit = N'0.0115',@GrossProfitRate = N'-1.25',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2010-10-25' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2009-06-30',@EPS = N'-0.1',@EPSDeduct = N'-0.1',@Revenue = N'6.99亿',@RevenueYoy = N'-31.07',@RevenueQoq = N'-41.85',@Profit = N'-3995.35万',@ProfitYoy = N'-306.10',@ProfiltQoq = N'-37.94',@NAVPerUnit = N'2.0743',@ROE = N'-4.82',@CashPerUnit = N'0.0151',@GrossProfitRate = N'-0.35',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2010-08-23' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2009-03-31',@EPS = N'-0.04',@EPSDeduct = N'-0.04',@Revenue = N'4.42亿',@RevenueYoy = N'-5.78',@RevenueQoq = N'59.58',@Profit = N'-1679.12万',@ProfitYoy = N'-332.01',@ProfiltQoq = N'80.38',@NAVPerUnit = N'2.1300',@ROE = N'-',@CashPerUnit = N'0.0134',@GrossProfitRate = N'1.04',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2010-04-30' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2008-12-31',@EPS = N'-0.14',@EPSDeduct = N'-0.13',@Revenue = N'17.81亿',@RevenueYoy = N'34.08',@RevenueQoq = N'-43.35',@Profit = N'-5397.37万',@ProfitYoy = N'-501.63',@ProfiltQoq = N'-699.05',@NAVPerUnit = N'2.1800',@ROE = N'-5.93',@CashPerUnit = N'0.1936',@GrossProfitRate = N'5.74',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2010-04-15' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2008-09-30',@EPS = N'0.09',@EPSDeduct = N'0.09',@Revenue = N'15.04亿',@RevenueYoy = N'54.28',@RevenueQoq = N'-10.28',@Profit = N'3366.82万',@ProfitYoy = N'240.57',@ProfiltQoq = N'17.57',@NAVPerUnit = N'2.4000',@ROE = N'-',@CashPerUnit = N'0.2134',@GrossProfitRate = N'8.88',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2009-10-30' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2008-06-30',@EPS = N'0.05',@EPSDeduct = N'0.05',@Revenue = N'10.14亿',@RevenueYoy = N'49.43',@RevenueQoq = N'16.17',@Profit = N'1938.54万',@ProfitYoy = N'155.29',@ProfiltQoq = N'67.86',@NAVPerUnit = N'2.3600',@ROE = N'2.13',@CashPerUnit = N'0.2398',@GrossProfitRate = N'8.11',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2009-08-08' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2008-03-31',@EPS = N'0.02',@EPSDeduct = N'0.02',@Revenue = N'4.69亿',@RevenueYoy = N'42.84',@RevenueQoq = N'32.77',@Profit = N'723.71万',@ProfitYoy = N'93.41',@ProfiltQoq = N'138.48',@NAVPerUnit = N'2.3300',@ROE = N'-',@CashPerUnit = N'0.1288',@GrossProfitRate = N'8.01',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2009-04-30' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2007-12-31',@EPS = N'0.03',@EPSDeduct = N'0.03',@Revenue = N'13.28亿',@RevenueYoy = N'19.09',@RevenueQoq = N'19.54',@Profit = N'1292.06万',@ProfitYoy = N'22.51',@ProfiltQoq = N'32.38',@NAVPerUnit = N'2.3100',@ROE = N'1.44',@CashPerUnit = N'0.2029',@GrossProfitRate = N'9.28',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2009-04-30' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2007-09-30',@EPS = N'0.03',@EPSDeduct = N'0.03',@Revenue = N'9.75亿',@RevenueYoy = N'23.59',@RevenueQoq = N'-15.60',@Profit = N'988.59万',@ProfitYoy = N'-4.29',@ProfiltQoq = N'-40.48',@NAVPerUnit = N'2.3000',@ROE = N'-',@CashPerUnit = N'0.0221',@GrossProfitRate = N'7.32',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2008-10-25' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2007-06-30',@EPS = N'0.02',@EPSDeduct = N'0.02',@Revenue = N'6.79亿',@RevenueYoy = N'29.34',@RevenueQoq = N'6.64',@Profit = N'759.34万',@ProfitYoy = N'3.02',@ProfiltQoq = N'2.93',@NAVPerUnit = N'2.3000',@ROE = N'0.85',@CashPerUnit = N'0.0503',@GrossProfitRate = N'7.31',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2008-08-08' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2007-03-31',@EPS = N'0.01',@EPSDeduct = N'0',@Revenue = N'3.29亿',@RevenueYoy = N'25.95',@RevenueQoq = N'0.60',@Profit = N'374.18万',@ProfitYoy = N'6.14',@ProfiltQoq = N'1617.54',@NAVPerUnit = N'2.2900',@ROE = N'-',@CashPerUnit = N'0.0305',@GrossProfitRate = N'8.47',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2008-04-26' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2006-12-31',@EPS = N'0.03',@EPSDeduct = N'0.01',@Revenue = N'11.15亿',@RevenueYoy = N'13.41',@RevenueQoq = N'23.87',@Profit = N'1054.70万',@ProfitYoy = N'-27.40',@ProfiltQoq = N'-92.63',@NAVPerUnit = N'2.2600',@ROE = N'1.71',@CashPerUnit = N'0.4194',@GrossProfitRate = N'8.34',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2008-03-27' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2006-09-30',@EPS = N'0.03',@EPSDeduct = N'0',@Revenue = N'7.89亿',@RevenueYoy = N'16.79',@RevenueQoq = N'-0.14',@Profit = N'1032.91万',@ProfitYoy = N'-25.25',@ProfiltQoq = N'-23.09',@NAVPerUnit = N'2.2500',@ROE = N'-',@CashPerUnit = N'0.2804',@GrossProfitRate = N'5.21',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2007-10-27' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2006-06-30',@EPS = N'0.02',@EPSDeduct = N'0',@Revenue = N'5.25亿',@RevenueYoy = N'2.16',@RevenueQoq = N'1.22',@Profit = N'737.11万',@ProfitYoy = N'-27.40',@ProfiltQoq = N'9.10',@NAVPerUnit = N'2.2500',@ROE = N'0.84',@CashPerUnit = N'0.2779',@GrossProfitRate = N'2.97',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2007-08-25' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2006-03-31',@EPS = N'0.01',@EPSDeduct = N'0',@Revenue = N'2.61亿',@RevenueYoy = N'36.33',@RevenueQoq = N'-15.32',@Profit = N'352.52万',@ProfitYoy = N'0.65',@ProfiltQoq = N'396.81',@NAVPerUnit = N'2.6500',@ROE = N'-',@CashPerUnit = N'0.0211',@GrossProfitRate = N'10.33',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2007-04-30' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2005-12-31',@EPS = N'0.04',@EPSDeduct = N'0',@Revenue = N'9.83亿',@RevenueYoy = N'-1.61',@RevenueQoq = N'90.83',@Profit = N'1452.84万',@ProfitYoy = N'-45.94',@ProfiltQoq = N'-80.64',@NAVPerUnit = N'2.6300',@ROE = N'1.69',@CashPerUnit = N'0.1617',@GrossProfitRate = N'9.26',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2007-03-29' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2005-09-30',@EPS = N'0',@EPSDeduct = N'0',@Revenue = N'6.75亿',@RevenueYoy = N'6.49',@RevenueQoq = N'-49.93',@Profit = N'1381.88万',@ProfitYoy = N'-31.52',@ProfiltQoq = N'-44.88',@NAVPerUnit = N'2.6300',@ROE = N'-',@CashPerUnit = N'0.0514',@GrossProfitRate = N'10.42',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2006-10-21' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2005-06-30',@EPS = N'0.03',@EPSDeduct = N'0',@Revenue = N'5.14亿',@RevenueYoy = N'40.23',@RevenueQoq = N'68.50',@Profit = N'1015.31万',@ProfitYoy = N'-25.48',@ProfiltQoq = N'89.88',@NAVPerUnit = N'2.6200',@ROE = N'1.18',@CashPerUnit = N'0.0826',@GrossProfitRate = N'8.87',@Distribution = N'不分配不转增',@DividenRate = N'-',@AnnounceDate = N'2006-08-26' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2012-09-30',@EPS = N'-0.103',@EPSDeduct = N'-0.103',@Revenue = N'11.36亿',@RevenueYoy = N'2.81',@RevenueQoq = N'-15.28',@Profit = N'-4016.26万',@ProfitYoy = N'79.96',@ProfiltQoq = N'-93.38',@NAVPerUnit = N'0.6078',@ROE = N'-15.69',@CashPerUnit = N'0.0974',@GrossProfitRate = N'0.95',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2013-10-31' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2017-03-31',@EPS = N'0.11',@EPSDeduct = N'0',@Revenue = N'11.62亿',@RevenueYoy = N'62.35',@RevenueQoq = N'-1.22',@Profit = N'1.21亿',@ProfitYoy = N'125.39',@ProfiltQoq = N'-15.17',@NAVPerUnit = N'2.4174',@ROE = N'4.83',@CashPerUnit = N'0.2205',@GrossProfitRate = N'23.76',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2017-04-20' EXEC [EST].[Proc_yjbb_Ins] @Code = N'600179',@CutoffDate = N'2012-03-31',@EPS = N'-0.15',@EPSDeduct = N'-0.15',@Revenue = N'3.53亿',@RevenueYoy = N'-1.24',@RevenueQoq = N'-22.14',@Profit = N'-5887.30万',@ProfitYoy = N'17.70',@ProfiltQoq = N'66.13',@NAVPerUnit = N'0.5538',@ROE = N'-23.99',@CashPerUnit = N'0.0390',@GrossProfitRate = N'-11.93',@Distribution = N'-',@DividenRate = N'-',@AnnounceDate = N'2013-04-25'
<reponame>cscl-git/digit-bpa --SITE PLAN INSERT INTO eg_appconfig_values ( ID, KEY_ID, EFFECTIVE_FROM, VALUE, VERSION ) VALUES (nextval('SEQ_EG_APPCONFIG_VALUES'), ( SELECT id FROM EG_APPCONFIG WHERE KEY_NAME='EDCR_DXF_PDF' and module= (select id from eg_module where name='Digit DCR')), current_date, 'SITE_PLAN',0); --SERVICE PLAN INSERT INTO eg_appconfig_values ( ID, KEY_ID, EFFECTIVE_FROM, VALUE, VERSION ) VALUES (nextval('SEQ_EG_APPCONFIG_VALUES'), ( SELECT id FROM EG_APPCONFIG WHERE KEY_NAME='<KEY>' and module= (select id from eg_module where name='Digit DCR')), current_date, 'SERVICE_PLAN',0); --PARKING PLAN INSERT INTO eg_appconfig_values ( ID, KEY_ID, EFFECTIVE_FROM, VALUE, VERSION ) VALUES (nextval('SEQ_EG_APPCONFIG_VALUES'), ( SELECT id FROM EG_APPCONFIG WHERE KEY_NAME='<KEY>' and module= (select id from eg_module where name='Digit DCR')), current_date, 'PARKING_PLAN',0); --FLOOR PLAN INSERT INTO eg_appconfig_values ( ID, KEY_ID, EFFECTIVE_FROM, VALUE, VERSION ) VALUES (nextval('SEQ_EG_APPCONFIG_VALUES'), ( SELECT id FROM EG_APPCONFIG WHERE KEY_NAME='<KEY>' and module= (select id from eg_module where name='Digit DCR')), current_date, 'FLOOR_PLAN_*',0); --ROOF PLAN INSERT INTO eg_appconfig_values ( ID, KEY_ID, EFFECTIVE_FROM, VALUE, VERSION ) VALUES (nextval('SEQ_EG_APPCONFIG_VALUES'), ( SELECT id FROM EG_APPCONFIG WHERE KEY_NAME='<KEY>' and module= (select id from eg_module where name='Digit DCR')), current_date, 'ROOF_PLAN_*',0); --ELEVATION INSERT INTO eg_appconfig_values ( ID, KEY_ID, EFFECTIVE_FROM, VALUE, VERSION ) VALUES (nextval('SEQ_EG_APPCONFIG_VALUES'), ( SELECT id FROM EG_APPCONFIG WHERE KEY_NAME='<KEY>' and module= (select id from eg_module where name='Digit DCR')), current_date, 'ELEVATION_*',0); --SECTION INSERT INTO eg_appconfig_values ( ID, KEY_ID, EFFECTIVE_FROM, VALUE, VERSION ) VALUES (nextval('SEQ_EG_APPCONFIG_VALUES'), ( SELECT id FROM EG_APPCONFIG WHERE KEY_NAME='ED<KEY>' and module= (select id from eg_module where name='Digit DCR')), current_date, 'SECTION_*',0); --DETAILS INSERT INTO eg_appconfig_values ( ID, KEY_ID, EFFECTIVE_FROM, VALUE, VERSION ) VALUES (nextval('SEQ_EG_APPCONFIG_VALUES'), ( SELECT id FROM EG_APPCONFIG WHERE KEY_NAME='EDCR_DXF_PDF' and module= (select id from eg_module where name='Digit DCR')), current_date, 'DETAILS_*',0);
drop table abac_object cascade;
<reponame>CGA1123/bissy-api ALTER TABLE querycache_queries RENAME COLUMN datasource_id TO adapter_id;
-- phpMyAdmin SQL Dump -- version 5.0.2 -- https://www.phpmyadmin.net/ -- -- Host: 127.0.0.1 -- Tempo de geração: 17-Mar-2021 às 21:10 -- Versão do servidor: 10.4.14-MariaDB -- versão do PHP: 7.3.21 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 */; -- -- Banco de dados: `encurtador` -- -- -------------------------------------------------------- -- -- Estrutura da tabela `links` -- CREATE TABLE `links` ( `id` int(11) NOT NULL, `link_original` text NOT NULL, `link_encurtado` varchar(255) NOT NULL, `usuarios_id` int(11) DEFAULT NULL, `clicks` int(11) NOT NULL, `created_at` datetime NOT NULL, `updated_at` datetime NOT NULL, `deleted_at` datetime NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -------------------------------------------------------- -- -- Estrutura da tabela `usuarios` -- CREATE TABLE `usuarios` ( `id` int(11) NOT NULL, `email` varchar(255) NOT NULL, `senha` varchar(255) NOT NULL, `created_at` datetime NOT NULL, `updated_at` datetime NOT NULL, `deleted_at` datetime NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Índices para tabelas despejadas -- -- -- Índices para tabela `links` -- ALTER TABLE `links` ADD PRIMARY KEY (`id`), ADD KEY `usuarios_id` (`usuarios_id`); -- -- Índices para tabela `usuarios` -- ALTER TABLE `usuarios` ADD PRIMARY KEY (`id`); -- -- AUTO_INCREMENT de tabelas despejadas -- -- -- AUTO_INCREMENT de tabela `links` -- ALTER TABLE `links` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT; -- -- AUTO_INCREMENT de tabela `usuarios` -- ALTER TABLE `usuarios` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT; -- -- Restrições para despejos de tabelas -- -- -- Limitadores para a tabela `links` -- ALTER TABLE `links` ADD CONSTRAINT `links_ibfk_1` FOREIGN KEY (`usuarios_id`) REFERENCES `usuarios` (`id`) ON DELETE CASCADE ON UPDATE CASCADE; COMMIT; /*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */; /*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */; /*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
<gh_stars>0 -- MySQL Script generated by MySQL Workbench -- Thu Dec 26 14:25:52 2019 -- Model: New Model Version: 1.0 -- MySQL Workbench Forward Engineering SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0; SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0; SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='ONLY_FULL_GROUP_BY,STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION'; -- ----------------------------------------------------- -- Schema mydb -- ----------------------------------------------------- -- ----------------------------------------------------- -- Schema mydb -- ----------------------------------------------------- CREATE SCHEMA IF NOT EXISTS `mydb` DEFAULT CHARACTER SET utf8 ; USE `mydb` ; -- ----------------------------------------------------- -- Table `mydb`.`usuario` -- ----------------------------------------------------- CREATE TABLE IF NOT EXISTS `mydb`.`usuario` ( `id` INT NOT NULL AUTO_INCREMENT, `usuario` VARCHAR(50) NOT NULL, `password` VARCHAR(100) NOT NULL, `nombre` VARCHAR(50) NOT NULL, PRIMARY KEY (`id`)) ENGINE = InnoDB; -- ----------------------------------------------------- -- Table `mydb`.`permiso` -- ----------------------------------------------------- CREATE TABLE IF NOT EXISTS `mydb`.`permiso` ( `id` INT NOT NULL AUTO_INCREMENT, `nombre` VARCHAR(50) NOT NULL, `slug` VARCHAR(50) NOT NULL, PRIMARY KEY (`id`)) ENGINE = InnoDB; -- ----------------------------------------------------- -- Table `mydb`.`rol` -- ----------------------------------------------------- CREATE TABLE IF NOT EXISTS `mydb`.`rol` ( `id` INT NOT NULL AUTO_INCREMENT, `nombre` VARCHAR(50) NULL, PRIMARY KEY (`id`)) ENGINE = InnoDB; -- ----------------------------------------------------- -- Table `mydb`.`permiso_rol` -- ----------------------------------------------------- CREATE TABLE IF NOT EXISTS `mydb`.`permiso_rol` ( `id` INT NOT NULL AUTO_INCREMENT, `rol_id` INT NOT NULL, `permiso_id` INT NOT NULL, PRIMARY KEY (`id`), INDEX `fk_permiso_rol_rol_idx` (`rol_id` ASC) VISIBLE, INDEX `fk_permiso_rol_permiso1_idx` (`permiso_id` ASC) VISIBLE, CONSTRAINT `fk_permiso_rol_rol` FOREIGN KEY (`rol_id`) REFERENCES `mydb`.`rol` (`id`) ON DELETE NO ACTION ON UPDATE NO ACTION, CONSTRAINT `fk_permiso_rol_permiso1` FOREIGN KEY (`permiso_id`) REFERENCES `mydb`.`permiso` (`id`) ON DELETE NO ACTION ON UPDATE NO ACTION) ENGINE = InnoDB; -- ----------------------------------------------------- -- Table `mydb`.`usuario_rol` -- ----------------------------------------------------- CREATE TABLE IF NOT EXISTS `mydb`.`usuario_rol` ( `id` INT NOT NULL AUTO_INCREMENT, `estado` TINYINT(1) NOT NULL, `rol_id` INT NOT NULL, `usuario_id` INT NOT NULL, PRIMARY KEY (`id`), INDEX `fk_usuario_rol_rol1_idx` (`rol_id` ASC) VISIBLE, INDEX `fk_usuario_rol_usuario1_idx` (`usuario_id` ASC) VISIBLE, CONSTRAINT `fk_usuario_rol_rol1` FOREIGN KEY (`rol_id`) REFERENCES `mydb`.`rol` (`id`) ON DELETE NO ACTION ON UPDATE NO ACTION, CONSTRAINT `fk_usuario_rol_usuario1` FOREIGN KEY (`usuario_id`) REFERENCES `mydb`.`usuario` (`id`) ON DELETE NO ACTION ON UPDATE NO ACTION) ENGINE = InnoDB; -- ----------------------------------------------------- -- Table `mydb`.`libro` -- ----------------------------------------------------- CREATE TABLE IF NOT EXISTS `mydb`.`libro` ( `id` INT NOT NULL AUTO_INCREMENT, `titulo` VARCHAR(100) NOT NULL, `isbn` VARCHAR(30) NOT NULL, `autor` VARCHAR(100) NOT NULL, `cantidad` TINYINT(2) NOT NULL, `editorial` VARCHAR(50) NULL, `foto` VARCHAR(100) NULL, PRIMARY KEY (`id`)) ENGINE = InnoDB; -- ----------------------------------------------------- -- Table `mydb`.`libro_prestamo` -- ----------------------------------------------------- CREATE TABLE IF NOT EXISTS `mydb`.`libro_prestamo` ( `id` INT NOT NULL AUTO_INCREMENT, `fecha_prestamo` DATE NOT NULL, `prestamo_a` VARCHAR(100) NOT NULL, `estado` TINYINT(1) NOT NULL, `fecha_devolucion` DATE NULL, `usuario_id` INT NOT NULL, `libro_id` INT NOT NULL, PRIMARY KEY (`id`), INDEX `fk_libro_prestamo_usuario1_idx` (`usuario_id` ASC) VISIBLE, INDEX `fk_libro_prestamo_libro1_idx` (`libro_id` ASC) VISIBLE, CONSTRAINT `fk_libro_prestamo_usuario1` FOREIGN KEY (`usuario_id`) REFERENCES `mydb`.`usuario` (`id`) ON DELETE NO ACTION ON UPDATE NO ACTION, CONSTRAINT `fk_libro_prestamo_libro1` FOREIGN KEY (`libro_id`) REFERENCES `mydb`.`libro` (`id`) ON DELETE NO ACTION ON UPDATE NO ACTION) ENGINE = InnoDB; SET SQL_MODE=@OLD_SQL_MODE; SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS; SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS;
/* query_p.sql ** ** Returns a transformed subset of the sys.query columns for currently running statements. ** ** NOTE: ** ** . This procedure needs to be created by a superuser for priveleged users to ** all running queries, not only their own. ** ** (c) 2018 Yellowbrick Data Corporation. ** . This script is provided free of charge by Yellowbrick Data Corporation as a ** convenience to its customers. ** . This script is provided "AS-IS" with no warranty whatsoever. ** . The customer accepts all risk in connection with the use of this script, and ** Yellowbrick Data Corporation shall have no liability whatsoever. ** ** Revision History: ** . 2021.12.09 - ybCliUtils inclusion. ** . 2021.05.07 - Yellowbrick Technical Support ** . 2021.04.20 - Yellowbrick Technical Support ** . 2020.06.15 - Yellowbrick Technical Support ** . 2020.04.25 - Yellowbrick Technical Support ** . 2019.12.05 - Yellowbrick Technical Support */ /* **************************************************************************** ** Create a table to define the rowtype that will be returned by the procedure. ** ** Example result: ** ** query_id | transaction_id | session_id | pool_id | state | username | app_name | tags | type | rows ** -----------+----------------+------------+---------+-------+-----------+----------+------+--------+------ ** 208514762 | 0 | 890238 | | plan | kick | ybsql | | select | 0 ** 207624351 | 0 | 884757 | | parse | redpoint2 | pgAdmin | | update | 0 ** ... ** ... | submit_time | restart_sec | prep_sec | cmpl_sec | que_sec | exec_sec | tot_sec | spill_mb | max_mb | query_text ** ... +---------------------+-------------+----------+----------+---------+----------+---------+----------+--------+---------------- ** ... | 2021-05-07 16:57:02 | | | | | | 0.0 | 0 | 0 | select * from q ** ... | 2021-05-07 14:51:31 | | | | | | 7530.4 | 0 | 0 | UPDATE settings ** */ DROP TABLE IF EXISTS public.query_t CASCADE ; CREATE TABLE public.query_t ( query_id BIGINT , transaction_id BIGINT , session_id BIGINT , pool_id VARCHAR( 128 ) , state VARCHAR( 50 ) , code VARCHAR( 5 ) , username VARCHAR( 128 ) , app_name VARCHAR( 128 ) , tags VARCHAR( 255 ) , type VARCHAR( 128 ) , rows BIGINT , submit_time TIMESTAMP , restart_sec NUMERIC( 19, 1 ) , prep_sec NUMERIC( 19, 1 ) , cmpl_sec NUMERIC( 19, 1 ) , que_sec NUMERIC( 19, 1 ) , exec_sec NUMERIC( 19, 1 ) , tot_sec NUMERIC( 19, 1 ) , max_mb NUMERIC( 19, 0 ) , spill_mb NUMERIC( 19, 0 ) , query_text VARCHAR( 60000 ) ) DISTRIBUTE ON ( transaction_id ) ; /* **************************************************************************** ** Create the procedure. */ CREATE OR REPLACE PROCEDURE public.query_p( _pred VARCHAR DEFAULT 'TRUE' , _query_chars INTEGER DEFAULT 32 ) RETURNS SETOF public.query_t LANGUAGE 'plpgsql' VOLATILE CALLED ON NULL INPUT SECURITY DEFINER AS $proc$ DECLARE _sql TEXT := ''; _fn_name VARCHAR(256) := 'query_steps_p'; _prev_tags VARCHAR(256) := current_setting('ybd_query_tags'); _tags VARCHAR(256) := CASE WHEN _prev_tags = '' THEN '' ELSE _prev_tags || ':' END || 'sysviews:' || _fn_name; BEGIN -- SET TRANSACTION READ ONLY; _sql := 'SET ybd_query_tags TO ''' || _tags || ''''; EXECUTE _sql ; _sql := 'SELECT query_id AS query_id , transaction_id AS transaction_id , session_id AS session_id , pool_id::VARCHAR( 128 ) AS pool_id , state::VARCHAR( 50 ) AS state , error_code::VARCHAR( 5 ) AS code , username::VARCHAR( 128 ) AS username , SPLIT_PART( application_name, '' '', 1 )::VARCHAR(128) AS app_name , tags AS tags , type AS type , GREATEST( rows_deleted, rows_inserted, rows_returned ) AS rows , date_trunc( ''secs'', submit_time )::TIMESTAMP AS submit_time , ROUND( restart_ms / 1000.0, 2 )::DECIMAL(19,1) AS restart_sec , ROUND( ( parse_ms + wait_parse_ms + wait_lock_ms + plan_ms + wait_plan_ms + assemble_ms + wait_assemble_ms ) / 1000.0, 2 )::DECIMAL(19,1) AS prep_sec , ROUND( (compile_ms + wait_compile_ms ) / 1000.0, 2 )::DECIMAL(19,1) AS cmpl_sec , ROUND( acquire_resources_ms / 1000.0, 2 )::DECIMAL(19,1) AS que_sec , ROUND( run_ms / 1000.0, 2 )::DECIMAL(19,1) AS run_sec , ROUND( total_ms / 1000.0, 2 )::DECIMAL(19,1) AS tot_sec , ROUND( memory_bytes / 1024.0^2, 2 )::DECIMAL(19,0) AS max_mb , ROUND( io_spill_space_bytes / 1024.0^2, 2 )::DECIMAL(19,0) AS mx_spill_mb /* add total spill written */ , TRANSLATE( SUBSTR( query_text, 1,' || _query_chars ||' ), e''\n\t'', '' '' )::VARCHAR(60000) AS query_text FROM sys.query WHERE type NOT IN (''system'', ''unknown'') AND STRPOS(username, ''sys_ybd'') != 1 AND ' || _pred; --RAISE INFO '_sql is: %', _sql ; RETURN QUERY EXECUTE _sql; /* Reset ybd_query_tags back to its previous value */ _sql := 'SET ybd_query_tags TO ''' || _prev_tags || ''''; EXECUTE _sql ; END; $proc$ ; COMMENT ON FUNCTION query_p( VARCHAR, INTEGER ) IS 'Description: Transformed subset of sys.query columns for currently running statements. Examples: SELECT * FROM query_p(); Arguments: . None Revision: . 2021.12.09 - Yellowbrick Technical Support ' ;
CREATE TABLE IF NOT EXISTS public.person__person ( id UUID PRIMARY KEY ); CREATE TABLE IF NOT EXISTS public.person__person_polity ( id UUID PRIMARY KEY REFERENCES person__person(id) ON DELETE CASCADE, polity_id UUID NOT NULL REFERENCES polity__polity(id) ON DELETE CASCADE ); CREATE TABLE IF NOT EXISTS public.person__person_title ( id UUID PRIMARY KEY REFERENCES person__person(id) ON DELETE CASCADE, title VARCHAR NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__person_christian_names ( person_id UUID NOT NULL REFERENCES person__person(id) ON DELETE CASCADE, saint_id UUID NOT NULL REFERENCES saint__saint(id) ON DELETE CASCADE, ordering SMALLINT NOT NULL, PRIMARY KEY(person_id, saint_id) ); CREATE TABLE IF NOT EXISTS public.person__person_first_name ( id UUID PRIMARY KEY REFERENCES person__person(id) ON DELETE CASCADE, first_name VARCHAR NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__person_middle_name ( id UUID PRIMARY KEY REFERENCES person__person(id) ON DELETE CASCADE, middle_name VARCHAR NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__person_last_name ( id UUID PRIMARY KEY REFERENCES person__person(id) ON DELETE CASCADE, last_name VARCHAR NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__person_nationality ( id UUID PRIMARY KEY REFERENCES person__person(id) ON DELETE CASCADE, nationality VARCHAR NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__person_race ( id UUID PRIMARY KEY REFERENCES person__person(id) ON DELETE CASCADE, race VARCHAR NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__person_id_number ( id UUID PRIMARY KEY, person_id UUID NOT NULL REFERENCES person__person(id) ON DELETE CASCADE, person_id_number VARCHAR NOT NULL UNIQUE ); CREATE TABLE IF NOT EXISTS public.person__person_id_number_provider ( id UUID PRIMARY KEY REFERENCES person__person_id_number(id) ON DELETE CASCADE, code VARCHAR NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__person_id_number_date_of_issue ( id UUID PRIMARY KEY REFERENCES person__person_id_number(id) ON DELETE CASCADE, date_of_issue DATE NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__person_id_number_place_of_issue ( id UUID PRIMARY KEY REFERENCES person__person_id_number(id) ON DELETE CASCADE, place_of_issue VARCHAR NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__person_languages ( person_id UUID NOT NULL REFERENCES person__person(id) ON DELETE CASCADE, language VARCHAR NOT NULL, level VARCHAR NOT NULL, PRIMARY KEY (person_id, language) ); CREATE TABLE IF NOT EXISTS public.person__person_date_of_birth ( id UUID PRIMARY KEY REFERENCES person__person(id) ON DELETE CASCADE, date_of_birth DATE NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__person_place_of_birth ( id UUID PRIMARY KEY REFERENCES person__person(id) ON DELETE CASCADE, place_of_birth VARCHAR NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__person_email ( id UUID PRIMARY KEY REFERENCES person__person(id) ON DELETE CASCADE, email VARCHAR NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__person_phone ( id UUID PRIMARY KEY REFERENCES person__person(id) ON DELETE CASCADE, phone VARCHAR NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__person_address ( id UUID PRIMARY KEY REFERENCES person__person(id) ON DELETE CASCADE, address VARCHAR NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__educational_stage ( id UUID PRIMARY KEY ); CREATE TABLE IF NOT EXISTS public.person__educational_stage_educational_level ( id UUID PRIMARY KEY REFERENCES person__educational_stage(id) ON DELETE CASCADE, level VARCHAR NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__educational_stage_school_name ( id UUID PRIMARY KEY REFERENCES person__educational_stage (id) ON DELETE CASCADE, school_name VARCHAR NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__educational_stage_major ( id UUID PRIMARY KEY REFERENCES person__educational_stage (id) ON DELETE CASCADE, major VARCHAR NOT NULL ); CREATE TABLE IF NOT EXISTS public.person__person_educational_stages ( person_id UUID REFERENCES person__person (id) ON DELETE CASCADE, educational_stage_id UUID REFERENCES person__educational_stage (id) ON DELETE CASCADE, graduate_year INT NOT NULL, PRIMARY KEY (person_id, educational_stage_id, graduate_year) ); CREATE TABLE IF NOT EXISTS public.person__person_vow_progress ( id UUID PRIMARY KEY REFERENCES person__person (id) ON DELETE CASCADE, progress VARCHAR NOT NULL ); -- Student: <NAME> INSERT INTO public.person__person (id) VALUES ('53f549b9-99bf-4e12-88e3-c2f868953283'); INSERT INTO public.person__person_date_of_birth (id, date_of_birth) VALUES ('53f549b9-99bf-4e12-88e3-c2f868953283', '1983-05-16'); INSERT INTO public.person__person_place_of_birth (id, place_of_birth) VALUES ('53f549b9-99bf-4e12-88e3-c2f868953283', 'Trà Vinh'); INSERT INTO public.person__person_email (id, email) VALUES ('53f549b9-99bf-4e12-88e3-c2f868953283', '<EMAIL>'); INSERT INTO public.person__person_phone (id, phone) VALUES ('53f549b9-99bf-4e12-88e3-c2f868953283', '+84 1228019700'); INSERT INTO public.person__person_address (id, address) VALUES ('53f549b9-99bf-4e12-88e3-c2f868953283', '1000 CMT8 phường 3 quận Tân Bình, TP HCM'); INSERT INTO public.person__person_polity (id, polity_id) VALUES ('53f549b9-99bf-4e12-88e3-c2f868953283', '4d084b56-54e1-4bd2-878e-c52675497c2b'); INSERT INTO public.person__person_christian_names (person_id, saint_id, ordering) VALUES ('53f549b9-99bf-4e12-88e3-c2f868953283', '40e6215d-b5c6-4896-987c-f30f3678f608', 1); INSERT INTO public.person__person_title (id, title) VALUES ('53f549b9-99bf-4e12-88e3-c2f868953283', 'PRIEST'); INSERT INTO public.person__person_first_name (id, first_name) VALUES ('53f549b9-99bf-4e12-88e3-c2f868953283', 'Nguyễn'); INSERT INTO public.person__person_middle_name (id, middle_name) VALUES ('53f549b9-99bf-4e12-88e3-c2f868953283', 'Hữu'); INSERT INTO public.person__person_last_name (id, last_name) VALUES ('53f549b9-99bf-4e12-88e3-c2f868953283', 'Chiến'); INSERT INTO public.person__person_nationality (id, nationality) VALUES ('53f549b9-99bf-4e12-88e3-c2f868953283', 'Vietnamese'); INSERT INTO public.person__person_race (id, race) VALUES ('53f549b9-99bf-4e12-88e3-c2f868953283', 'Kinh'); INSERT INTO public.person__person_id_number (id, person_id, person_id_number) VALUES ('2f6c0dd3-f6c7-4504-aba3-de017ad33821', '53f549b9-99bf-4e12-88e3-c2f868953283', '837837655558'); INSERT INTO public.person__person_id_number_provider (id, code) VALUES ('2f6c0dd3-f6c7-4504-aba3-de017ad33821', 'NATIONAL_ID'); INSERT INTO public.person__person_id_number_date_of_issue (id, date_of_issue) VALUES ('2f6c0dd3-f6c7-4504-aba3-de017ad33821', '2011-05-05'); INSERT INTO public.person__person_id_number_place_of_issue (id, place_of_issue) VALUES ('2f6c0dd3-f6c7-4504-aba3-de017ad33821', 'TP.HCM'); INSERT INTO public.person__educational_stage (id) VALUES ('56439ecf-99e9-469a-9dcf-f5f654878e1b'); INSERT INTO public.person__educational_stage_educational_level (id, level) VALUES ('56439ecf-99e9-469a-9dcf-f5f654878e1b', 'HIGH_SCHOOL'); INSERT INTO public.person__educational_stage_school_name (id, school_name) VALUES ('56439ecf-99e9-469a-9dcf-f5f654878e1b', 'THPT Nguyễn Du'); INSERT INTO public.person__person_educational_stages (person_id, educational_stage_id, graduate_year) VALUES ('53f549b9-99bf-4e12-88e3-c2f868953283', '56439ecf-99e9-469a-9dcf-f5f654878e1b', 2000); -- Teacher: <NAME> INSERT INTO public.person__person (id) VALUES ('938c9343-2f5e-4517-8d2e-8f251403d350'); INSERT INTO public.person__person_polity (id, polity_id) VALUES ('938c9343-2f5e-4517-8d2e-8f251403d350', '4d084b56-54e1-4bd2-878e-c52675497c2b'); INSERT INTO public.person__person_christian_names (person_id, saint_id, ordering) VALUES ('938c9343-2f5e-4517-8d2e-8f251403d350', '40e6215d-b5c6-4896-987c-f30f3678f608', 1); INSERT INTO public.person__person_title (id, title) VALUES ('938c9343-2f5e-4517-8d2e-8f251403d350', 'PRIEST'); INSERT INTO public.person__person_first_name (id, first_name) VALUES ('938c9343-2f5e-4517-8d2e-8f251403d350', 'Đỗ'); INSERT INTO public.person__person_middle_name (id, middle_name) VALUES ('938c9343-2f5e-4517-8d2e-8f251403d350', 'Văn'); INSERT INTO public.person__person_last_name (id, last_name) VALUES ('938c9343-2f5e-4517-8d2e-8f251403d350', 'Ngân'); INSERT INTO public.person__person_nationality (id, nationality) VALUES ('938c9343-2f5e-4517-8d2e-8f251403d350', 'Vietnamese'); INSERT INTO public.person__person_race (id, race) VALUES ('938c9343-2f5e-4517-8d2e-8f251403d350', 'Kinh'); INSERT INTO public.person__person_id_number (id, person_id, person_id_number) VALUES ('f0dacf1c-b728-4072-8ded-495bcb9e9c57', '938c9343-2f5e-4517-8d2e-8f251403d350', '673487263555'); INSERT INTO public.person__person_id_number_provider (id, code) VALUES ('f0dacf1c-b728-4072-8ded-495bcb9e9c57', 'NATIONAL_ID'); INSERT INTO public.person__person_id_number_date_of_issue (id, date_of_issue) VALUES ('f0dacf1c-b728-4072-8ded-495bcb9e9c57', '2001-05-05'); INSERT INTO public.person__person_id_number_place_of_issue (id, place_of_issue) VALUES ('f0dacf1c-b728-4072-8ded-495bcb9e9c57', 'TP.HCM'); INSERT INTO public.person__person_languages (person_id, language, level) VALUES ('938c9343-2f5e-4517-8d2e-8f251403d350', 'English', 'ADVANCED'); INSERT INTO public.person__person_languages (person_id, language, level) VALUES ('938c9343-2f5e-4517-8d2e-8f251403d350', 'Latin', 'ADVANCED'); -- View CREATE VIEW person__person_christian_name_view AS SELECT person.id as person_id, array_agg(saint__saint_display_name.id ORDER BY person__person_christian_names.ordering) as saint_ids, string_agg(saint__saint_display_name.display_name, ' ' ORDER BY person__person_christian_names.ordering) as christian_name FROM person__person person LEFT JOIN person__person_christian_names ON person.id = person__person_christian_names.person_id LEFT JOIN saint__saint_display_name ON person__person_christian_names.saint_id = saint__saint_display_name.id GROUP BY person.id; CREATE VIEW person__educational_stage_view AS SELECT person__educational_stage.id, educational_level.level as educational_level, school_name.school_name, major.major FROM person__educational_stage LEFT JOIN person__educational_stage_school_name school_name ON person__educational_stage.id = school_name.id LEFT JOIN person__educational_stage_educational_level educational_level ON person__educational_stage.id = educational_level.id LEFT JOIN person__educational_stage_major major ON person__educational_stage.id = major.id; CREATE VIEW person__person_education_stage_view AS SELECT educational_stage_id, educational_level, school_name, major, graduate_year, person_id FROM person__person_educational_stages LEFT JOIN person__educational_stage_view stage ON person__person_educational_stages.educational_stage_id = stage.id; CREATE VIEW person__person_view AS SELECT person.*, person__person_title.title, person__person_christian_name_view.saint_ids, person__person_christian_name_view.christian_name, person__person_first_name.first_name, person__person_middle_name.middle_name, person__person_last_name.last_name, person__person_date_of_birth.date_of_birth, person__person_place_of_birth.place_of_birth, person__person_email.email, person__person_phone.phone, person__person_nationality.nationality, person__person_race.race, person__person_polity.polity_id, polity.name polity_name, polity.location_address polity_location_address, polity.location_name polity_location_name, polity.location_email polity_location_email, language.language, language.level FROM person__person person LEFT JOIN person__person_date_of_birth ON person.id = person__person_date_of_birth.id LEFT JOIN person__person_place_of_birth ON person.id = person__person_place_of_birth.id LEFT JOIN person__person_email ON person.id = person__person_email.id LEFT JOIN person__person_phone ON person.id = person__person_phone.id LEFT JOIN person__person_title ON person.id = person__person_title.id LEFT JOIN person__person_first_name ON person.id = person__person_first_name.id LEFT JOIN person__person_middle_name ON person.id = person__person_middle_name.id LEFT JOIN person__person_last_name ON person.id = person__person_last_name.id LEFT JOIN person__person_christian_name_view ON person.id = person__person_christian_name_view.person_id LEFT JOIN person__person_nationality ON person.id = person__person_nationality.id LEFT JOIN person__person_race ON person.id = person__person_race.id LEFT JOIN person__person_id_number ppin on person.id = ppin.person_id LEFT JOIN person__person_id_number_provider on ppin.id = person__person_id_number_provider.id LEFT JOIN person__person_id_number_date_of_issue on ppin.id = person__person_id_number_date_of_issue.id LEFT JOIN person__person_id_number_place_of_issue on ppin.id = person__person_id_number_place_of_issue.id LEFT JOIN person__person_polity ON person.id = person__person_polity.id LEFT JOIN polity__polity_view polity ON person__person_polity.polity_id = polity.id LEFT JOIN person__person_languages language ON person.id = language.person_id
INSERT INTO movies (movie_name) VALUES ("Titanic"), ("Mission Impossible"), ("Parasite"), ("Kumbalangi Nights"), ("Boothakalam"); INSERT INTO reviews (movie_id, review) VALUES (1, "Its an evergreen classic!"), (1, "Romantic movie."), (1, "Could be scary for kids."), (2, "Takes you on a rollercoaster"), (3, "Oscar winning masterpiece"), (4, "A Malayalam movie you must watch!"), (5, "A psycological thriller"), (4, "Very grounded acting.");
CREATE TABLE `standalone_deletion_tasks` ( `id` bigint(20) unsigned NOT NULL, `file` varchar(512) COLLATE latin1_general_cs NOT NULL, `status` enum('new','queued','active','done','failed','cancelled') CHARACTER SET latin1 COLLATE latin1_general_ci NOT NULL DEFAULT 'new', `exitcode` smallint(5) DEFAULT NULL, `message` varchar(512) COLLATE latin1_general_cs DEFAULT NULL, `start_time` datetime DEFAULT NULL, `finish_time` datetime DEFAULT NULL, PRIMARY KEY (`id`), KEY `status` (`status`) ) ENGINE=MyISAM DEFAULT CHARSET=latin1 COLLATE=latin1_general_cs;
<gh_stars>1-10 create or replace PACKAGE log_audit.PKG_LOG_I AS procedure P_LOG(P_Mensagem IN VARCHAR2); procedure P_LOG(P_Mensagem IN VARCHAR2, LOG_REFERENCE IN OUT CLOB); procedure P_LOG(P_Mensagem IN VARCHAR2, P_priority IN NUMBER); procedure P_LOG(P_Mensagem IN VARCHAR2, P_priority IN NUMBER, LOG_REFERENCE IN OUT CLOB); procedure P_LOG(P_Mensagem IN VARCHAR2, P_CONTEXT IN Varchar2); procedure P_LOG(P_Mensagem IN VARCHAR2, P_CONTEXT IN Varchar2, LOG_REFERENCE IN OUT CLOB); procedure P_LOG(P_Mensagem IN VARCHAR2, P_priority IN NUMBER, P_CONTEXT IN Varchar2); procedure P_LOG(P_Mensagem IN VARCHAR2, P_priority IN NUMBER, P_CONTEXT IN Varchar2, LOG_REFERENCE IN OUT CLOB); procedure P_ADD_clob(p_Name IN VARCHAR2, p_Value IN CLOB, LOG_REFERENCE in OUT clob); procedure P_ADD_xml(p_Name IN VARCHAR2, p_Value IN clob, LOG_REFERENCE in OUT clob); procedure P_ADD_date(p_Name IN VARCHAR2, p_Value IN DATE, LOG_REFERENCE in OUT clob); procedure P_ADD_number(p_Name IN VARCHAR2, p_Value IN NUMBER, LOG_REFERENCE in OUT clob); END;
INSERT INTO id_generator(idname, tenantid, format, sequencenumber) VALUES ('egf.bill.default.number.format.name', 'default', 'MH-BILL-NUM-[SEQ_EGF_BILL_DFT_NUM]', 1);
<gh_stars>1-10 SET SERVEROUTPUT ON DECLARE message varchar2(20):= 'Hello, World!'; BEGIN dbms_output.put_line(message); END; /
<reponame>somersbmatthews/postgresqlninja SELECT (CAST('{"name": "Bob", "favoriteFoods": ["Banana", "Candy"]}' AS JSONB) -> 'favoriteFoods') ? 'Banana';
-- file:numeric.sql ln:668 expect:true INSERT INTO ceil_floor_round VALUES ('-5.5')
<filename>db/db_tests/DT_dialogue_translations.sql SELECT text_id FROM text WHERE text_id NOT LIKE 'DL_%' AND text_type LIKE 'dl_%';
<reponame>dram/metasfresh alter table M_DiscountSchema drop column IsQuantityBased;
<reponame>forgottenlands/ForgottenCore406<gh_stars>0 DROP TABLE IF EXISTS `fake_items`; CREATE TABLE `fake_items` ( `guid` int(11) NOT NULL, `fakeEntry` int(11) NOT NULL, PRIMARY KEY (`guid`) );
insert into test(name) values ('name1'); insert into test(name) values ('name2'); insert into test(name) values ('name3'); insert into test(name) values ('name4'); insert into test(name) values ('name5');
<reponame>maartenbeeckmans/puppet-mcollective_agent_puppet metadata :name => "puppet_variable", :description => "Validates that a variable name is a valid Puppet name", :author => "R.I.Pienaar <<EMAIL>>", :license => "Apache-2.0", :version => "2.4.0", :url => "https://github.com/choria-plugins/puppet-agent", :timeout => 1 usage <<-EOU Puppet variable naming rules applies to variables, classes and tags. Valid variable names that are longer than 1 character would need to match: /\A[a-zA-Z]\Z/ While multi character variable names has to match: /\A[a-zA-Z0-9_]+\Z/ For full documentation see the Puppet documentation at http://docs.puppetlabs.com EOU
<filename>chapter_004/src/main/java/ru/job4j/sql/filters_second/1.sql select * from product inner join type on product.type_id = type.id where type.name = 'СЫР'; -- Использование слова join
<gh_stars>0 /* Navicat Premium Data Transfer Source Server : 本地 Source Server Type : MySQL Source Server Version : 100137 Source Host : localhost:3306 Source Schema : custom Target Server Type : MySQL Target Server Version : 100137 File Encoding : 65001 Date: 09/09/2020 22:32:07 */ SET NAMES utf8mb4; SET FOREIGN_KEY_CHECKS = 0; -- ---------------------------- -- Table structure for order_list -- ---------------------------- DROP TABLE IF EXISTS `order_list`; CREATE TABLE `order_list` ( `id` int(11) NOT NULL AUTO_INCREMENT, `order_id` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `status` tinyint(1) NULL DEFAULT NULL, `name` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `tel` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL, `p_name` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL, `create_time` int(11) NULL DEFAULT NULL, PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 15 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact; -- ---------------------------- -- Records of order_list -- ---------------------------- INSERT INTO `order_list` VALUES (1, 'kusfgasiu', 1, '123810', '12p3i113', '1231231', 1); INSERT INTO `order_list` VALUES (2, 'kusfgasiu', 2, '123810', '12p3i113', '1231231', 12); INSERT INTO `order_list` VALUES (3, 'kusfgasiu', 3, '123810', '12p3i113', '1231231', 11); INSERT INTO `order_list` VALUES (4, 'kusfgasiu', 4, '123810', '12p3i113', '1231231', 10); INSERT INTO `order_list` VALUES (5, 'kusfgasiu', 5, '123810', '12p3i113', '1231231', 9); INSERT INTO `order_list` VALUES (6, 'kusfgasiu', 6, '123810', '12p3i113', '1231231', 8); INSERT INTO `order_list` VALUES (7, 'kusfgasiu', 7, '123810', '12p3i113', '1231231', 7); INSERT INTO `order_list` VALUES (8, 'kusfgasiu', 8, '123810', '12p3i113', '1231231', 6); INSERT INTO `order_list` VALUES (9, 'kusfgasiu', 9, '123810', '12p3i113', '1231231', 5); INSERT INTO `order_list` VALUES (10, 'kusfgasiu', 0, '123810', '12p3i113', '1231231', 4); INSERT INTO `order_list` VALUES (11, 'kusfgasiu', 1, '123810', '12p3i113', '1231231', 3); INSERT INTO `order_list` VALUES (12, 'kusfgasiu', 2, '123810', '12p3i113', '1231231', 2); INSERT INTO `order_list` VALUES (13, 'kusfgasiu', 3, '123810', '12p3i113', '1231231', 1); INSERT INTO `order_list` VALUES (14, '孙承志', 5, '13', '321', '3131', 3123); SET FOREIGN_KEY_CHECKS = 1;
<reponame>Cerebellum-Network/freeport-sc-event-processor<filename>src/main/resources/db/migration/V2022.02.02_00.00__add_index_to_search_by_nft_meta.sql CREATE INDEX full_text_search_idx ON nft_metadata USING gin ( (setweight(to_tsvector('english', name), 'A') || setweight(to_tsvector('english', description), 'B')) );
CREATE OR REPLACE TRIGGER TRIGGER_5_TITULARES BEFORE INSERT OR UPDATE ON JUGADOR FOR EACH ROW DECLARE v_num_titulares NUMBER(2); BEGIN SELECT COUNT(*) INTO v_num_titulares FROM JUGADOR WHERE titularidad = 1; IF INSERTING THEN IF(v_num_titulares >= 5 AND :new.titularidad = 1) THEN RAISE_APPLICATION_ERROR(-20008, 'Solo puede haber 5 titulares en la plantilla'); END IF; ELSIF UPDATING THEN IF(v_num_titulares = 5 AND :old.titularidad = 0 AND :new.titularidad = 1) THEN RAISE_APPLICATION_ERROR(-20008, 'Solo puede haber 5 titulares en la plantilla'); END IF; END IF; END TRIGGER_5_TITULARES; --ELSIF NOT TESTED, WORKS WITH IF
<gh_stars>100-1000 ALTER TABLE stac_exports ADD COLUMN export_asset_types varchar[] DEFAULT NULL;
<reponame>sunadm/ClickHouse SET allow_experimental_live_view = 1; DROP TABLE IF EXISTS test.lv; DROP TABLE IF EXISTS test.mt; CREATE TABLE test.mt (a Int32) Engine=MergeTree order by tuple(); CREATE LIVE VIEW test.lv AS SELECT sum(a) FROM test.mt; INSERT INTO test.mt VALUES (1),(2),(3); SELECT *,_version FROM test.lv; SELECT *,_version FROM test.lv; INSERT INTO test.mt VALUES (1),(2),(3); SELECT *,_version FROM test.lv; SELECT *,_version FROM test.lv; DROP TABLE test.lv; DROP TABLE test.mt;
<reponame>maketubo/liquibase -- Database: maxdb -- Change Parameter: tableName=person DELETE FROM person;
--test implicit type conversion of blob type create table blob_conversion( col1 datetime, col2 date, col3 time, col4 timestamp, col5 double, col6 float, col7 numeric, col8 bigint, col9 int, col10 short, col11 monetary, col12 bit, col13 bit varying, col14 char(20), col15 varchar(20), col16 nchar(20), col17 nchar varying(20), col18 set, col19 multiset, col20 list, col21 sequence, col22 blob, col23 clob ); --[er]datetime insert into blob_conversion(col1) values (bit_to_blob(B'1010111')); --[er]date insert into blob_conversion(col2) values (bit_to_blob(B'1010111')); --[er]time insert into blob_conversion(col3) values (bit_to_blob(B'1010111')); --[er]timestamp insert into blob_conversion(col4) values (bit_to_blob(B'1010111')); --[er]double insert into blob_conversion(col5) values (bit_to_blob(B'1010111')); --[er]float insert into blob_conversion(col6) values (bit_to_blob(B'1010111')); --[er]numeric insert into blob_conversion(col7) values (bit_to_blob(B'1010111')); --[er]bigint insert into blob_conversion(col8) values (bit_to_blob(B'1010111')); --[er]int insert into blob_conversion(col9) values (bit_to_blob(B'1010111')); --[er]short insert into blob_conversion(col10) values (bit_to_blob(B'1010111')); --[er]monetary insert into blob_conversion(col11) values (bit_to_blob(B'1010111')); --[er]bit insert into blob_conversion(col12) values (bit_to_blob(B'1010111')); select col12 from blob_conversion order by 1; --[er]varbit insert into blob_conversion(col13) values (bit_to_blob(B'1010111')); select col13 from blob_conversion order by 1; --[er]char insert into blob_conversion(col14) values (bit_to_blob(B'1010111')); --[er]varchar insert into blob_conversion(col15) values (bit_to_blob(B'1010111')); --[er]nchar insert into blob_conversion(col16) values (bit_to_blob(B'1010111')); --[er]varnchar insert into blob_conversion(col17) values (bit_to_blob(B'1010111')); --[er]set insert into blob_conversion(col18) values (bit_to_blob(B'1010111')); --[er]multiset insert into blob_conversion(col19) values (bit_to_blob(B'1010111')); --[er]list insert into blob_conversion(col20) values (bit_to_blob(B'1010111')); --[er]sequence insert into blob_conversion(col21) values (bit_to_blob(B'1010111')); --[nr]blob insert into blob_conversion(col22) values (bit_to_blob(B'1010111')); select blob_to_bit(col22) from blob_conversion order by 1; --[er]clob insert into blob_conversion(col23) values (bit_to_blob(B'1010111')); delete from blob_conversion; drop table blob_conversion;
-- -- $Id: //Infrastructure/GitHub/Database/asbo/web/sql/idle_sessions.sql#1 $ -- WITH inactive_users AS ( SELECT s.username, s.machine, s.type, COUNT(1) how_many FROM v$process p JOIN v$session s on s.paddr = p.addr WHERE -- -- Days inactive -- floor( s.last_call_et/(24*60*60) ) >= :param1 GROUP BY s.machine, s.username, s.type ORDER BY COUNT(1) DESC ) SELECT i.* , u.profile , p.limit idle_timeout_days , p2.limit default_idle_timeout_days FROM inactive_users i JOIN dba_users u ON u.username = i.username JOIN dba_profiles p ON p.profile = u.profile AND p.resource_name = 'IDLE_TIME' JOIN dba_profiles p2 ON p2.profile = 'DEFAULT' AND p2.resource_name = 'IDLE_TIME'
<reponame>deniskozedub/key SET NAMES utf8; SET time_zone = '+00:00'; SET foreign_key_checks = 0; SET sql_mode = 'NO_AUTO_VALUE_ON_ZERO'; SET NAMES utf8mb4; DROP TABLE IF EXISTS `categories`; CREATE TABLE `categories` ( `id` bigint unsigned NOT NULL AUTO_INCREMENT, `name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL, `parent_id` bigint unsigned DEFAULT NULL, PRIMARY KEY (`id`), KEY `categories_parent_id_foreign` (`parent_id`), CONSTRAINT `categories_parent_id_foreign` FOREIGN KEY (`parent_id`) REFERENCES `categories` (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci; INSERT INTO `categories` (`id`, `name`, `parent_id`) VALUES (1, 'one', NULL), (2, 'two', 1), (3, 'three', NULL), (4, 'four', NULL), (5, 'five', 1); DROP TABLE IF EXISTS `category_product`; CREATE TABLE `category_product` ( `product_id` bigint unsigned NOT NULL, `category_id` bigint unsigned NOT NULL, KEY `category_product_product_id_foreign` (`product_id`), KEY `category_product_category_id_foreign` (`category_id`), CONSTRAINT `category_product_category_id_foreign` FOREIGN KEY (`category_id`) REFERENCES `categories` (`id`), CONSTRAINT `category_product_product_id_foreign` FOREIGN KEY (`product_id`) REFERENCES `products` (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci; DROP TABLE IF EXISTS `products`; CREATE TABLE `products` ( `id` bigint unsigned NOT NULL AUTO_INCREMENT, `name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci; -- 1 select c.name from categories c inner join category_product cp on cp.category_id = c.id inner join products p on p.id = cp.product_id where p.id in(2); -- 2 select p.id, p.name from products p inner join category_product cp on cp.product_id = p.id where cp.category_id in (2,3); -- 3 select name, count(cp.product_id) product_count from categories c inner join (select distinct * from category_product) cp on cp.category_id = c.id where c.id in (3) group by name; -- 4 select name, count(cp.product_id) product_count from categories c inner join category_product cp on cp.category_id = c.id where c.id in (2,3) group by c.id
-- phpMyAdmin SQL Dump -- version 4.9.0.1 -- https://www.phpmyadmin.net/ -- -- Host: localhost:3306 -- Generation Time: Aug 14, 2020 at 02:55 PM -- Server version: 5.7.30 -- PHP Version: 7.3.6 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: `dsr` -- -- -------------------------------------------------------- -- -- Table structure for table `scanned_codes` -- CREATE TABLE `scanned_codes` ( `id` int(11) NOT NULL, `serial_number` varchar(25) NOT NULL, `department` text NOT NULL, `reference_number` varchar(25) NOT NULL, `product_type` text NOT NULL, `date_of_purchase` text NOT NULL, `product_cost` text NOT NULL, `code_format` text NOT NULL, `id_of_scanner` int(11) NOT NULL, `share_id` text NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -------------------------------------------------------- -- -- Table structure for table `users` -- CREATE TABLE `users` ( `id` int(11) NOT NULL, `first_name` varchar(20) NOT NULL, `last_name` varchar(30) NOT NULL, `username` varchar(50) NOT NULL, `email` text NOT NULL, `password` text NOT NULL, `share_id` text NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Indexes for dumped tables -- -- -- Indexes for table `scanned_codes` -- ALTER TABLE `scanned_codes` ADD PRIMARY KEY (`id`), ADD KEY `fk_id_of_scanner` (`id_of_scanner`); -- -- Indexes for table `users` -- ALTER TABLE `users` ADD PRIMARY KEY (`id`); -- -- AUTO_INCREMENT for dumped tables -- -- -- AUTO_INCREMENT for table `scanned_codes` -- ALTER TABLE `scanned_codes` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT; -- -- AUTO_INCREMENT for table `users` -- ALTER TABLE `users` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4; -- -- Constraints for dumped tables -- -- -- Constraints for table `scanned_codes` -- ALTER TABLE `scanned_codes` ADD CONSTRAINT `fk_id_of_scanner` FOREIGN KEY (`id_of_scanner`) 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 */;
<reponame>StarcadeDesigns/SQL-Learning<filename>Homework 3/join with count.sql select name , count(o.id) as [nbr of orders] , count(o.itemid) as [itemnbr] from stores s join Orders o on s.id = o.StoreID group by name --how many orders placed per store and those stores names
@..\..\install_prereq\initspool r_tests /*************************************************************************************************** Name: r_tests.sql Author: <NAME> Date: 21-Sep-2019 Unit test driver script component in the Oracle PL/SQL API Demos module. The module demonstrates instrumentation and logging, code timing, and unit testing of PL/SQL APIs, using example APIs writtten against Oracle's HR demo schema. GitHub: https://github.com/BrenPatF/https://github.com/BrenPatF/oracle_plsql_api_demos There are two driver SQL scripts, one for the base packages, with demonstration of instrumentation and logging, and code timing, and the other for unit testing. DRIVER SCRIPTS ==================================================================================================== | SQL Script | API/Test Unit | Notes | |=================================================================================================== | api_driver | Emp_WS.Save_Emps | Save a list of new employees | | | Emp_WS.Get_Dept_Emps | Get department and employee details | | | Emp_Batch.Load_Emps | Load new/updated employees from file | | | HR_Test_View_V | View for department and employees | ---------------------------------------------------------------------------------------------------- | *r_tests* | TT_Emp_WS.Save_Emps | Unit test for Emp_WS.Save_Emps | | | TT_Emp_WS.Get_Dept_Emps | Unit test for Emp_WS.Get_Dept_Emps | | | TT_Emp_Batch.Load_Emps | Unit test for Emp_Batch.Load_Emps | | | TT_View_Drivers.HR_Test_View_V | Unit test for HR_Test_View_V | ==================================================================================================== This file has the unit test driver script. Note that the test packages are called by the unit test utility package Trapit, which reads the unit test details from a table, tt_units, populated by the install scripts. The test programs follow 'The Math Function Unit Testing design pattern': GitHub: https://github.com/BrenPatF/trapit_nodejs_tester Note that the unit test programs generates output files, tt_*.*_out.json, that are processed by a separate nodejs program, npm package trapit (see README for further details). The output JSON files contain arrays of expected and actual records by group and scenario, in the format expected by the nodejs program. This program produces listings of the results in HTML and/or text format, and a sample set of listings is included in the folder test_output. ***************************************************************************************************/ BEGIN Trapit_Run.Run_Tests('UT_EXAMPLES'); END; / @..\..\install_prereq\endspool
<filename>db/inventory.sql -- phpMyAdmin SQL Dump -- version 5.1.1 -- https://www.phpmyadmin.net/ -- -- Host: 127.0.0.1 -- Generation Time: Jan 18, 2022 at 06:47 PM -- Server version: 10.4.21-MariaDB -- PHP Version: 8.0.10 SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO"; START TRANSACTION; SET time_zone = "+00:00"; /*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */; /*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */; /*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */; /*!40101 SET NAMES utf8mb4 */; -- -- Database: `inventory` -- -- -------------------------------------------------------- -- -- Table structure for table `addcategories` -- CREATE TABLE `addcategories` ( `id` bigint(20) UNSIGNED NOT NULL, `Category` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL, `Brand_name` varchar(11) 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 `addcategories` -- INSERT INTO `addcategories` (`id`, `Category`, `Brand_name`, `created_at`, `updated_at`) VALUES (5, 'Napa', 'Square', '2022-01-09 03:41:02', '2022-01-09 03:41:02'), (6, 'paracetamol', 'Square', '2022-01-09 04:29:50', '2022-01-09 04:29:50'), (7, 'paracetamol', 'Aci', '2022-01-09 04:30:18', '2022-01-09 04:30:18'); -- -------------------------------------------------------- -- -- Table structure for table `brand` -- CREATE TABLE `brand` ( `Id` int(11) NOT NULL, `Brand_name` varchar(250) DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Dumping data for table `brand` -- INSERT INTO `brand` (`Id`, `Brand_name`) VALUES (1, 'Aci'), (2, 'Square'), (3, 'test'); -- -------------------------------------------------------- -- -- Table structure for table `company` -- CREATE TABLE `company` ( `Id` int(11) NOT NULL, `Company_name` varchar(250) DEFAULT NULL, `Sort_name` varchar(250) DEFAULT NULL, `Email` varchar(250) DEFAULT NULL, `Phone` varchar(11) DEFAULT NULL, `Address` varchar(250) DEFAULT NULL, `City` varchar(250) DEFAULT NULL, `State` varchar(250) DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -------------------------------------------------------- -- -- Table structure for table `customer` -- CREATE TABLE `customer` ( `Id` int(11) NOT NULL, `Customer_name` varchar(250) DEFAULT NULL, `Customer_phone` varchar(11) DEFAULT NULL, `Customer_email` varchar(250) DEFAULT NULL, `Address` varchar(250) DEFAULT NULL, `Customer_type` varchar(250) DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Dumping data for table `customer` -- INSERT INTO `customer` (`Id`, `Customer_name`, `Customer_phone`, `Customer_email`, `Address`, `Customer_type`) VALUES (4, '<NAME>', '01845891962', 'abdussamad0<EMAIL>', 'Danmondi', 'Foreign'), (5, '<NAME>', '01726772016', '<EMAIL>', '15/556, Rupnagar Tinshed,', 'Foreign'), (6, 'dfdf', 'fdf', 'dfd', 'fddf', 'Wholesale'); -- -------------------------------------------------------- -- -- Table structure for table `expense` -- CREATE TABLE `expense` ( `Id` int(11) NOT NULL, `Expense_catagory` varchar(255) DEFAULT NULL, `Expense_description` varchar(255) DEFAULT NULL, `Expense_date` date DEFAULT NULL, `Amount` decimal(10,2) DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Dumping data for table `expense` -- INSERT INTO `expense` (`Id`, `Expense_catagory`, `Expense_description`, `Expense_date`, `Amount`) VALUES (2, NULL, 'Tea Cost', '2022-01-11', '120.00'), (3, NULL, 'Tea Cost', '2022-01-12', '120.00'); -- -------------------------------------------------------- -- -- Table structure for table `expenseitem` -- CREATE TABLE `expenseitem` ( `Id` int(11) NOT NULL, `Item_name` varchar(255) DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Dumping data for table `expenseitem` -- INSERT INTO `expenseitem` (`Id`, `Item_name`) VALUES (1, 'Rent'), (2, 'House'); -- -------------------------------------------------------- -- -- Table structure for table `failed_jobs` -- CREATE TABLE `failed_jobs` ( `id` bigint(20) UNSIGNED NOT NULL, `uuid` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL, `connection` text COLLATE utf8mb4_unicode_ci NOT NULL, `queue` text COLLATE utf8mb4_unicode_ci NOT NULL, `payload` longtext COLLATE utf8mb4_unicode_ci NOT NULL, `exception` longtext COLLATE utf8mb4_unicode_ci NOT NULL, `failed_at` timestamp NOT NULL DEFAULT current_timestamp() ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci; -- -------------------------------------------------------- -- -- 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_100000_create_password_resets_table', 1), (2, '2019_08_19_000000_create_failed_jobs_table', 1), (3, '2019_12_14_000001_create_personal_access_tokens_table', 1), (4, '2021_12_29_095433_create_addcategories_table', 1); -- -------------------------------------------------------- -- -- Table structure for table `password_resets` -- CREATE TABLE `password_resets` ( `email` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL, `token` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL, `created_at` timestamp NULL DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci; -- -------------------------------------------------------- -- -- Table structure for table `personal_access_tokens` -- CREATE TABLE `personal_access_tokens` ( `id` bigint(20) UNSIGNED NOT NULL, `tokenable_type` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL, `tokenable_id` bigint(20) UNSIGNED NOT NULL, `name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL, `token` varchar(64) COLLATE utf8mb4_unicode_ci NOT NULL, `abilities` text COLLATE utf8mb4_unicode_ci DEFAULT NULL, `last_used_at` timestamp NULL DEFAULT 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 `product` -- CREATE TABLE `product` ( `Id` int(11) NOT NULL, `Brand_name` varchar(255) DEFAULT NULL, `Category_name` varchar(255) DEFAULT NULL, `Product_name` varchar(255) DEFAULT NULL, `Purchase_price` decimal(10,2) DEFAULT NULL, `Retails_price` decimal(10,2) DEFAULT NULL, `Whole_sale_price` decimal(10,2) DEFAULT NULL, `Unit_name` varchar(255) DEFAULT NULL, `Quantity` int(10) DEFAULT NULL, `Supplier` varchar(255) DEFAULT NULL, `Expire_date` date NOT NULL, `Picture` text DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Dumping data for table `product` -- INSERT INTO `product` (`Id`, `Brand_name`, `Category_name`, `Product_name`, `Purchase_price`, `Retails_price`, `Whole_sale_price`, `Unit_name`, `Quantity`, `Supplier`, `Expire_date`, `Picture`) VALUES (1, 'Square', 'paracetamol', 'Apple', '50.00', '55.00', '45.00', NULL, 45, 'Box', '2022-01-11', NULL), (2, 'Aci', 'paracetamol', 'Banna', '50.00', '55.00', '45.00', 'Box', 45, 'Abdus samad', '2022-01-09', NULL); -- -------------------------------------------------------- -- -- Table structure for table `purchase` -- CREATE TABLE `purchase` ( `Id` int(11) NOT NULL, `Supplier` varchar(255) DEFAULT NULL, `Purchase_date` date DEFAULT NULL, `Creation_date` date DEFAULT NULL, `Medicine_name` varchar(255) DEFAULT NULL, `Quantity` int(10) DEFAULT NULL, `Price` decimal(10,2) DEFAULT NULL, `Unit_name` varchar(255) DEFAULT NULL, `Tax_percent` int(10) DEFAULT NULL, `Tax_amount` decimal(10,2) DEFAULT NULL, `Amount` decimal(10,2) DEFAULT NULL, `Amount_with_tax` decimal(10,2) DEFAULT NULL, `Sub_total` decimal(10,2) DEFAULT NULL, `Due` decimal(10,2) DEFAULT NULL, `Paid` decimal(10,2) DEFAULT NULL, `Grand_total` decimal(10,2) DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -------------------------------------------------------- -- -- Table structure for table `sales` -- CREATE TABLE `sales` ( `Id` int(11) NOT NULL, `Customer_name` varchar(255) DEFAULT NULL, `Sales_date` date DEFAULT NULL, `Creation_date` date DEFAULT NULL, `Sales_type` varchar(255) DEFAULT NULL, `Medicine_name` varchar(255) DEFAULT NULL, `Quantity` int(10) DEFAULT NULL, `Price` decimal(10,2) DEFAULT NULL, `Unit_name` varchar(255) DEFAULT NULL, `Tax_percent` int(10) DEFAULT NULL, `Tax_amount` decimal(10,2) DEFAULT NULL, `Amount` decimal(10,2) DEFAULT NULL, `Amount_with_tax` decimal(10,2) DEFAULT NULL, `Sub_total` decimal(10,2) DEFAULT NULL, `Due` decimal(10,2) DEFAULT NULL, `Paid` decimal(10,2) DEFAULT NULL, `Grand_total` decimal(10,2) DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -------------------------------------------------------- -- -- Table structure for table `supplier` -- CREATE TABLE `supplier` ( `Id` int(11) NOT NULL, `Supplier_name` varchar(250) DEFAULT NULL, `Supplier_phone` varchar(11) DEFAULT NULL, `Supplier_email` varchar(250) DEFAULT NULL, `Address` varchar(250) DEFAULT NULL, `Supplier_type` varchar(250) DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Dumping data for table `supplier` -- INSERT INTO `supplier` (`Id`, `Supplier_name`, `Supplier_phone`, `Supplier_email`, `Address`, `Supplier_type`) VALUES (4, '<NAME>', '01845891962', '<EMAIL>', 'Danmondi', 'Foreign'); -- -------------------------------------------------------- -- -- Table structure for table `unit` -- CREATE TABLE `unit` ( `Id` int(11) NOT NULL, `Unit_name` varchar(255) DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Dumping data for table `unit` -- INSERT INTO `unit` (`Id`, `Unit_name`) VALUES (1, 'Box'), (2, 'Piece'); -- -------------------------------------------------------- -- -- Table structure for table `userrole` -- CREATE TABLE `userrole` ( `Id` int(11) NOT NULL, `Role_name` varchar(250) DEFAULT NULL, `Permission` varchar(250) DEFAULT NULL, `Status` varchar(250) DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Dumping data for table `userrole` -- INSERT INTO `userrole` (`Id`, `Role_name`, `Permission`, `Status`) VALUES (1, 'Admin', NULL, 'Active'), (2, 'Sales Man', NULL, 'Active'); -- -------------------------------------------------------- -- -- Table structure for table `users` -- CREATE TABLE `users` ( `Id` int(11) NOT NULL, `User_name` varchar(250) DEFAULT NULL, `FULL_name` varchar(250) DEFAULT NULL, `Email` varchar(250) DEFAULT NULL, `Phone` varchar(11) DEFAULT NULL, `Password` varchar(250) DEFAULT NULL, `Role` varchar(250) DEFAULT NULL, `Creation_date` date DEFAULT NULL, `Status` varchar(250) DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; -- -- Dumping data for table `users` -- INSERT INTO `users` (`Id`, `User_name`, `FULL_name`, `Email`, `Phone`, `Password`, `Role`, `Creation_date`, `Status`) VALUES (1, 'abdus.samad018', '<NAME>', '<EMAIL>', '01845891962', '123456', 'Retail', '2022-01-10', 'Active'), (2, 'kamrul.islam018', 'K<NAME>am', '<EMAIL>', '01726772016', '123456', 'Sales Man', '2022-01-11', 'Active'); -- -- Indexes for dumped tables -- -- -- Indexes for table `addcategories` -- ALTER TABLE `addcategories` ADD PRIMARY KEY (`id`); -- -- Indexes for table `brand` -- ALTER TABLE `brand` ADD PRIMARY KEY (`Id`); -- -- Indexes for table `company` -- ALTER TABLE `company` ADD PRIMARY KEY (`Id`); -- -- Indexes for table `customer` -- ALTER TABLE `customer` ADD PRIMARY KEY (`Id`); -- -- Indexes for table `expense` -- ALTER TABLE `expense` ADD PRIMARY KEY (`Id`); -- -- Indexes for table `expenseitem` -- ALTER TABLE `expenseitem` ADD PRIMARY KEY (`Id`); -- -- Indexes for table `failed_jobs` -- ALTER TABLE `failed_jobs` ADD PRIMARY KEY (`id`), ADD UNIQUE KEY `failed_jobs_uuid_unique` (`uuid`); -- -- Indexes for table `migrations` -- ALTER TABLE `migrations` ADD PRIMARY KEY (`id`); -- -- Indexes for table `password_resets` -- ALTER TABLE `password_resets` ADD KEY `password_resets_email_index` (`email`); -- -- Indexes for table `personal_access_tokens` -- ALTER TABLE `personal_access_tokens` ADD PRIMARY KEY (`id`), ADD UNIQUE KEY `personal_access_tokens_token_unique` (`token`), ADD KEY `personal_access_tokens_tokenable_type_tokenable_id_index` (`tokenable_type`,`tokenable_id`); -- -- Indexes for table `product` -- ALTER TABLE `product` ADD PRIMARY KEY (`Id`); -- -- Indexes for table `purchase` -- ALTER TABLE `purchase` ADD PRIMARY KEY (`Id`); -- -- Indexes for table `sales` -- ALTER TABLE `sales` ADD PRIMARY KEY (`Id`); -- -- Indexes for table `supplier` -- ALTER TABLE `supplier` ADD PRIMARY KEY (`Id`); -- -- Indexes for table `unit` -- ALTER TABLE `unit` ADD PRIMARY KEY (`Id`); -- -- Indexes for table `userrole` -- ALTER TABLE `userrole` ADD PRIMARY KEY (`Id`); -- -- Indexes for table `users` -- ALTER TABLE `users` ADD PRIMARY KEY (`Id`); -- -- AUTO_INCREMENT for dumped tables -- -- -- AUTO_INCREMENT for table `addcategories` -- ALTER TABLE `addcategories` MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8; -- -- AUTO_INCREMENT for table `brand` -- ALTER TABLE `brand` MODIFY `Id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4; -- -- AUTO_INCREMENT for table `company` -- ALTER TABLE `company` MODIFY `Id` int(11) NOT NULL AUTO_INCREMENT; -- -- AUTO_INCREMENT for table `customer` -- ALTER TABLE `customer` MODIFY `Id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7; -- -- AUTO_INCREMENT for table `expense` -- ALTER TABLE `expense` MODIFY `Id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4; -- -- AUTO_INCREMENT for table `expenseitem` -- ALTER TABLE `expenseitem` MODIFY `Id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3; -- -- AUTO_INCREMENT for table `failed_jobs` -- ALTER TABLE `failed_jobs` MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT; -- -- AUTO_INCREMENT for table `migrations` -- ALTER TABLE `migrations` MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5; -- -- AUTO_INCREMENT for table `personal_access_tokens` -- ALTER TABLE `personal_access_tokens` MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT; -- -- AUTO_INCREMENT for table `product` -- ALTER TABLE `product` MODIFY `Id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3; -- -- AUTO_INCREMENT for table `purchase` -- ALTER TABLE `purchase` MODIFY `Id` int(11) NOT NULL AUTO_INCREMENT; -- -- AUTO_INCREMENT for table `sales` -- ALTER TABLE `sales` MODIFY `Id` int(11) NOT NULL AUTO_INCREMENT; -- -- AUTO_INCREMENT for table `supplier` -- ALTER TABLE `supplier` MODIFY `Id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5; -- -- AUTO_INCREMENT for table `unit` -- ALTER TABLE `unit` MODIFY `Id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3; -- -- AUTO_INCREMENT for table `userrole` -- ALTER TABLE `userrole` MODIFY `Id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3; -- -- AUTO_INCREMENT for table `users` -- ALTER TABLE `users` MODIFY `Id` int(11) 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 */;
<gh_stars>0 /* Navicat Premium Data Transfer Source Server : localhost_3306 Source Server Type : MySQL Source Server Version : 80022 Source Host : localhost:3306 Source Schema : ccblog Target Server Type : MySQL Target Server Version : 80022 File Encoding : 65001 Date: 07/03/2022 09:56:33 */ SET NAMES utf8mb4; SET FOREIGN_KEY_CHECKS = 0; -- ---------------------------- -- Table structure for about -- ---------------------------- DROP TABLE IF EXISTS `about`; CREATE TABLE `about` ( `id` bigint(0) NOT NULL, `name_en` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL, `name_zh` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL, `value` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL, PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for blog -- ---------------------------- DROP TABLE IF EXISTS `blog`; CREATE TABLE `blog` ( `id` bigint(0) NOT NULL AUTO_INCREMENT, `title` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '文章标题', `first_picture` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '文章首图,用于随机文章展示', `content` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '文章正文', `description` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '描述', `is_published` bit(1) NOT NULL COMMENT '公开或私密', `is_recommend` bit(1) NOT NULL COMMENT '推荐开关', `is_appreciation` bit(1) NOT NULL COMMENT '赞赏开关', `is_comment_enabled` bit(1) NOT NULL COMMENT '评论开关', `create_time` datetime(0) NOT NULL COMMENT '创建时间', `update_time` datetime(0) NOT NULL COMMENT '更新时间', `views` int(0) NOT NULL COMMENT '浏览次数', `category_id` bigint(0) NOT NULL COMMENT '文章分类', `is_top` bit(1) NOT NULL COMMENT '是否置顶', PRIMARY KEY (`id`) USING BTREE, INDEX `type_id`(`category_id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 9 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for blog_tag -- ---------------------------- DROP TABLE IF EXISTS `blog_tag`; CREATE TABLE `blog_tag` ( `blog_id` bigint(0) NOT NULL, `tag_id` bigint(0) NOT NULL ) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for category -- ---------------------------- DROP TABLE IF EXISTS `category`; CREATE TABLE `category` ( `id` bigint(0) NOT NULL AUTO_INCREMENT, `category_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL, PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 5 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for city_visitor -- ---------------------------- DROP TABLE IF EXISTS `city_visitor`; CREATE TABLE `city_visitor` ( `city` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '城市名称', `uv` int(0) NOT NULL COMMENT '独立访客数量', PRIMARY KEY (`city`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for comment -- ---------------------------- DROP TABLE IF EXISTS `comment`; CREATE TABLE `comment` ( `id` bigint(0) NOT NULL AUTO_INCREMENT, `nickname` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '昵称', `email` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '邮箱', `content` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '评论内容', `avatar` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '头像(图片路径)', `create_time` datetime(0) NULL DEFAULT NULL COMMENT '评论时间', `ip` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '评论者ip地址', `is_published` bit(1) NOT NULL COMMENT '公开或回收站', `is_admin_comment` bit(1) NOT NULL COMMENT '博主回复', `page` int(0) NOT NULL COMMENT '0普通文章,1关于我页面,2友链页面', `is_notice` bit(1) NOT NULL COMMENT '接收邮件提醒', `blog_id` bigint(0) NULL DEFAULT NULL COMMENT '所属的文章', `parent_comment_id` bigint(0) NOT NULL COMMENT '父评论id,-1为根评论', `website` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '个人网站', `qq` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '如果评论昵称为QQ号,则将昵称和头像置为QQ昵称和QQ头像,并将此字段置为QQ号备份', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 16 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for exception_log -- ---------------------------- DROP TABLE IF EXISTS `exception_log`; CREATE TABLE `exception_log` ( `id` bigint(0) NOT NULL AUTO_INCREMENT, `uri` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '请求接口', `method` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '请求方式', `param` varchar(2000) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '请求参数', `description` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '操作描述', `error` text CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL COMMENT '异常信息', `ip` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'ip', `ip_source` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'ip来源', `os` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '操作系统', `browser` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '浏览器', `create_time` datetime(0) NOT NULL COMMENT '操作时间', `user_agent` varchar(2000) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'user-agent用户代理', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 14 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for friend -- ---------------------------- DROP TABLE IF EXISTS `friend`; CREATE TABLE `friend` ( `id` bigint(0) NOT NULL AUTO_INCREMENT, `nickname` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '昵称', `description` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '描述', `website` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '站点', `avatar` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '头像', `is_published` bit(1) NOT NULL COMMENT '公开或隐藏', `views` int(0) NOT NULL COMMENT '点击次数', `create_time` datetime(0) NOT NULL COMMENT '创建时间', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 2 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for login_log -- ---------------------------- DROP TABLE IF EXISTS `login_log`; CREATE TABLE `login_log` ( `id` bigint(0) NOT NULL AUTO_INCREMENT, `username` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '用户名称', `ip` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'ip', `ip_source` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'ip来源', `os` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '操作系统', `browser` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '浏览器', `status` bit(1) NULL DEFAULT NULL COMMENT '登录状态', `description` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '操作描述', `create_time` datetime(0) NOT NULL COMMENT '登录时间', `user_agent` varchar(2000) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'user-agent用户代理', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 4 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for moment -- ---------------------------- DROP TABLE IF EXISTS `moment`; CREATE TABLE `moment` ( `id` bigint(0) NOT NULL AUTO_INCREMENT, `content` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '动态内容', `create_time` datetime(0) NOT NULL COMMENT '创建时间', `likes` int(0) NULL DEFAULT NULL COMMENT '点赞数量', `is_published` bit(1) NOT NULL COMMENT '是否公开', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 2 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for operation_log -- ---------------------------- DROP TABLE IF EXISTS `operation_log`; CREATE TABLE `operation_log` ( `id` bigint(0) NOT NULL AUTO_INCREMENT, `username` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '操作者用户名', `uri` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '请求接口', `method` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '请求方式', `param` varchar(2000) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '请求参数', `description` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '操作描述', `ip` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'ip', `ip_source` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'ip来源', `os` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '操作系统', `browser` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '浏览器', `times` int(0) NOT NULL COMMENT '请求耗时(毫秒)', `create_time` datetime(0) NOT NULL COMMENT '操作时间', `user_agent` varchar(2000) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'user-agent用户代理', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 75 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for schedule_job -- ---------------------------- DROP TABLE IF EXISTS `schedule_job`; CREATE TABLE `schedule_job` ( `job_id` bigint(0) NOT NULL AUTO_INCREMENT COMMENT '任务id', `bean_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'spring bean名称', `method_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '方法名', `params` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '参数', `cron` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'cron表达式', `status` tinyint(0) NULL DEFAULT NULL COMMENT '任务状态', `remark` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '备注', `create_time` datetime(0) NULL DEFAULT NULL COMMENT '创建时间', PRIMARY KEY (`job_id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 2 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for schedule_job_log -- ---------------------------- DROP TABLE IF EXISTS `schedule_job_log`; CREATE TABLE `schedule_job_log` ( `log_id` bigint(0) NOT NULL AUTO_INCREMENT COMMENT '任务日志id', `job_id` bigint(0) NOT NULL COMMENT '任务id', `bean_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'spring bean名称', `method_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '方法名', `params` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '参数', `status` tinyint(0) NOT NULL COMMENT '任务执行结果', `error` text CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL COMMENT '异常信息', `times` int(0) NOT NULL COMMENT '耗时(单位:毫秒)', `create_time` datetime(0) NULL DEFAULT NULL COMMENT '创建时间', PRIMARY KEY (`log_id`) USING BTREE ) ENGINE = InnoDB CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for site_setting -- ---------------------------- DROP TABLE IF EXISTS `site_setting`; CREATE TABLE `site_setting` ( `id` bigint(0) NOT NULL AUTO_INCREMENT, `name_en` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL, `name_zh` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL, `value` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL, `type` int(0) NULL DEFAULT NULL COMMENT '1基础设置,2页脚徽标,3资料卡,4友链信息', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 28 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for tag -- ---------------------------- DROP TABLE IF EXISTS `tag`; CREATE TABLE `tag` ( `id` bigint(0) NOT NULL AUTO_INCREMENT, `tag_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL, `color` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '标签颜色(可选)', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 7 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for user -- ---------------------------- DROP TABLE IF EXISTS `user`; CREATE TABLE `user` ( `id` bigint(0) NOT NULL AUTO_INCREMENT, `username` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '用户名', `password` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '密码', `nickname` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '昵称', `avatar` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '头像地址', `email` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '邮箱', `create_time` datetime(0) NOT NULL COMMENT '创建时间', `update_time` datetime(0) NOT NULL COMMENT '更新时间', `role` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '角色访问权限', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 1 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for visit_log -- ---------------------------- DROP TABLE IF EXISTS `visit_log`; CREATE TABLE `visit_log` ( `id` bigint(0) NOT NULL AUTO_INCREMENT, `uuid` varchar(36) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '访客标识码', `uri` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '请求接口', `method` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '请求方式', `param` varchar(2000) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '请求参数', `behavior` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '访问行为', `content` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '访问内容', `remark` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '备注', `ip` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'ip', `ip_source` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'ip来源', `os` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '操作系统', `browser` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '浏览器', `times` int(0) NOT NULL COMMENT '请求耗时(毫秒)', `create_time` datetime(0) NOT NULL COMMENT '访问时间', `user_agent` varchar(2000) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'user-agent用户代理', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 445 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for visit_record -- ---------------------------- DROP TABLE IF EXISTS `visit_record`; CREATE TABLE `visit_record` ( `id` bigint(0) NOT NULL AUTO_INCREMENT, `pv` int(0) NOT NULL COMMENT '访问量', `uv` int(0) NOT NULL COMMENT '独立用户', `date` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '日期\"02-23\"', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 2 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; -- ---------------------------- -- Table structure for visitor -- ---------------------------- DROP TABLE IF EXISTS `visitor`; CREATE TABLE `visitor` ( `id` bigint(0) NOT NULL AUTO_INCREMENT, `uuid` varchar(36) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NOT NULL COMMENT '访客标识码', `ip` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'ip', `ip_source` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'ip来源', `os` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '操作系统', `browser` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT '浏览器', `create_time` datetime(0) NOT NULL COMMENT '首次访问时间', `last_time` datetime(0) NOT NULL COMMENT '最后访问时间', `pv` int(0) NULL DEFAULT NULL COMMENT '访问页数统计', `user_agent` varchar(2000) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci NULL DEFAULT NULL COMMENT 'user-agent用户代理', PRIMARY KEY (`id`) USING BTREE ) ENGINE = InnoDB AUTO_INCREMENT = 9 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Dynamic; SET FOREIGN_KEY_CHECKS = 1;
-- Performs a search for tags based on the tag name matching -- the given pattern. -- -- Results are ordered by global frequency of use for the -- tags in descending order, then by tag name in ascending -- order. -- -- Eventually the "hits" value should be a materialized view -- that is recached at some interval, but this should be -- fine to get started. SELECT *, ( SELECT COUNT(1) FROM joins.task_to_tag AS j WHERE j.tag_id = t.tag_id ) AS hits FROM common.tag t WHERE name LIKE ? ORDER BY hits DESC, name ASC LIMIT ? ;
<filename>ci_pengajuan.sql -- phpMyAdmin SQL Dump -- version 4.9.0.1 -- https://www.phpmyadmin.net/ -- -- Host: localhost -- Generation Time: Jul 10, 2019 at 03:52 AM -- Server version: 10.3.16-MariaDB -- PHP Version: 7.3.6 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: `ci_pengajuan` -- -- -------------------------------------------------------- -- -- Table structure for table `file` -- CREATE TABLE `file` ( `id` int(11) NOT NULL, `judul` varchar(100) NOT NULL, `file` varchar(100) NOT NULL, `status` int(11) NOT NULL, `jenis` int(11) NOT NULL, `guru_id` int(11) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -------------------------------------------------------- -- -- Table structure for table `guru` -- CREATE TABLE `guru` ( `id` int(11) NOT NULL, `nip_lama` varchar(45) DEFAULT NULL, `nip` varchar(45) DEFAULT NULL, `nama` varchar(45) DEFAULT NULL, `tmp_lahir` varchar(45) DEFAULT NULL, `tgl_lahir` date DEFAULT NULL, `jns_klmn` varchar(1) DEFAULT NULL, `status` varchar(45) DEFAULT NULL, `agama` varchar(45) DEFAULT NULL, `telepon` varchar(45) DEFAULT NULL, `alamat` text DEFAULT NULL, `unit_kerja` varchar(255) DEFAULT NULL, `pensiun` date DEFAULT NULL, `pendidikan_terakhir` varchar(45) DEFAULT NULL, `th_lulus` varchar(45) DEFAULT NULL, `kecamatan` varchar(45) DEFAULT NULL, `jabatan_id` int(11) DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data for table `guru` -- INSERT INTO `guru` (`id`, `nip_lama`, `nip`, `nama`, `tmp_lahir`, `tgl_lahir`, `jns_klmn`, `status`, `agama`, `telepon`, `alamat`, `unit_kerja`, `pensiun`, `pendidikan_terakhir`, `th_lulus`, `kecamatan`, `jabatan_id`) VALUES (1, '12345', '12345', 'Icha', 'Banyuwangi', '1999-12-12', 'P', 'PNS', 'Islam', '08112345678', 'Banyuwangi', 'SDN 2 Patok 11', '2020-12-12', 'D3', '2018', 'Gambiran', 1), (2, '12344', '12344', '<NAME>', 'Banyuwangi', '1996-12-12', 'P', 'PNS', 'Islam', '0811234567', 'Banyuwangi', 'SMPN 2 Sumberayu', '2019-12-12', 'S1', '2019', 'Muncar', 1), (3, '12345', '12342', 'Handoyo', 'Banyuwangi', '1990-12-01', 'L', 'PNS', 'Islam', '08112345678', 'Patok 11 sumberayu', 'SMP 2 PATOK 11', '1970-01-01', 'S1', '2003', 'Muncar', 1); -- -------------------------------------------------------- -- -- Table structure for table `jabatan` -- CREATE TABLE `jabatan` ( `id` int(11) NOT NULL, `nama` varchar(100) NOT NULL, `pangkat` varchar(100) NOT NULL, `gol_ruang` varchar(100) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data for table `jabatan` -- INSERT INTO `jabatan` (`id`, `nama`, `pangkat`, `gol_ruang`) VALUES (1, 'Guru Pertama', 'Penata Muda', 'III/a'), (2, 'Guru Pertama', 'Penata Muda Tingkat 1', 'III/b'), (3, 'Guru Muda', 'Penata', 'III/c'), (4, 'Guru Muda', 'Penata Tingkat 1', 'III/d'), (5, 'Guru Madya', 'Pembina', 'IV/a'), (6, 'Guru Madya', 'Pembina Tingkat 1', 'IV/b'), (7, 'Guru Madya', 'Pembina Utama Muda', 'IV/c'), (8, 'Guru Utama', 'Pembina Utama Madya', 'IV/d'), (9, 'Guru Utama', 'Pembina Utama', 'IV/e'); -- -------------------------------------------------------- -- -- Table structure for table `keluarga` -- CREATE TABLE `keluarga` ( `id` int(11) NOT NULL, `nama` varchar(200) NOT NULL, `status` varchar(20) NOT NULL, `tgl_lahir` date NOT NULL, `guru_id` int(11) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -------------------------------------------------------- -- -- Table structure for table `mutasi` -- CREATE TABLE `mutasi` ( `id` int(11) NOT NULL, `tanggal` date NOT NULL, `tamat_pangkat` date NOT NULL, `gaji_pokok` double NOT NULL, `surat_keputusan_pejabat` varchar(200) NOT NULL, `nomor_keputusan` varchar(200) NOT NULL, `tanggal_keputusan` date NOT NULL, `tempat_mutasi` varchar(100) NOT NULL, `status` int(11) NOT NULL, `pengembalian_inventaris` int(11) NOT NULL, `guru_id` int(11) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -------------------------------------------------------- -- -- Table structure for table `pengajuan` -- CREATE TABLE `pengajuan` ( `id` int(11) NOT NULL, `nomor_karpeg` varchar(20) NOT NULL, `gaji_pokok_terakhir` double NOT NULL, `mksd` date NOT NULL, `pspp` varchar(150) NOT NULL, `mulai_masuk_pns` date NOT NULL, `tamat_pangkat` date NOT NULL, `tamat_jabatan` date NOT NULL, `gaji_pokok` double NOT NULL, `alamat` text NOT NULL, `pengembalian_inventaris` int(11) NOT NULL, `status` int(11) NOT NULL, `keterangan` text NOT NULL, `guru_id` int(11) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -------------------------------------------------------- -- -- Table structure for table `riwayat_pekerjaan` -- CREATE TABLE `riwayat_pekerjaan` ( `id` int(11) NOT NULL, `uraian` varchar(200) NOT NULL, `tamat` date NOT NULL, `jabatan_id` int(11) NOT NULL, `gaji_pokok` double NOT NULL, `pejabat` varchar(100) NOT NULL, `nomor` varchar(100) NOT NULL, `tanggal` date NOT NULL, `guru_id` int(11) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -------------------------------------------------------- -- -- Table structure for table `role` -- CREATE TABLE `role` ( `id` int(11) NOT NULL, `nama` varchar(126) NOT NULL, `link` varchar(50) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data for table `role` -- INSERT INTO `role` (`id`, `nama`, `link`) VALUES (1, 'Admin', 'admin'), (2, 'Guru', 'guru'), (3, 'Kepala dinas', 'pimpinan'); -- -------------------------------------------------------- -- -- Table structure for table `user` -- CREATE TABLE `user` ( `id` int(11) NOT NULL, `guru_id` int(11) NOT NULL, `nama` varchar(50) NOT NULL, `username` varchar(126) NOT NULL, `password` varchar(256) NOT NULL, `role_id` int(2) NOT NULL, `is_active` int(1) NOT NULL, `gambar` varchar(256) NOT NULL, `date_created` int(11) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data for table `user` -- INSERT INTO `user` (`id`, `guru_id`, `nama`, `username`, `password`, `role_id`, `is_active`, `gambar`, `date_created`) VALUES (4, 1, 'Icha', 'icha', <PASSWORD>', 1, 1, 'avatar.jpg', 1552637403), (5, 2, 'laila', '12344', '$2y$10$rzBJHKOdeDy4x7HZ8D/CuueEq70GT5hZrSW5TsrmksV9S.9M4rdGG', 2, 1, 'avatar.jpg', 1555054422), (6, 3, 'Handoyo', '12345', '$2y$10$E6ZrzTRw71YGoWpped0pKuIWS9Y.eeV3mXjqTgQz.nWeO32om7/.6', 3, 1, 'avatar.jpg', 1555936547); -- -- Indexes for dumped tables -- -- -- Indexes for table `file` -- ALTER TABLE `file` ADD PRIMARY KEY (`id`); -- -- Indexes for table `guru` -- ALTER TABLE `guru` ADD PRIMARY KEY (`id`); -- -- Indexes for table `jabatan` -- ALTER TABLE `jabatan` ADD PRIMARY KEY (`id`); -- -- Indexes for table `keluarga` -- ALTER TABLE `keluarga` ADD PRIMARY KEY (`id`); -- -- Indexes for table `mutasi` -- ALTER TABLE `mutasi` ADD PRIMARY KEY (`id`); -- -- Indexes for table `pengajuan` -- ALTER TABLE `pengajuan` ADD PRIMARY KEY (`id`); -- -- Indexes for table `riwayat_pekerjaan` -- ALTER TABLE `riwayat_pekerjaan` ADD PRIMARY KEY (`id`); -- -- Indexes for table `role` -- ALTER TABLE `role` ADD PRIMARY KEY (`id`); -- -- Indexes for table `user` -- ALTER TABLE `user` ADD PRIMARY KEY (`id`); -- -- AUTO_INCREMENT for dumped tables -- -- -- AUTO_INCREMENT for table `file` -- ALTER TABLE `file` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=206; -- -- AUTO_INCREMENT for table `guru` -- ALTER TABLE `guru` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5; -- -- AUTO_INCREMENT for table `jabatan` -- ALTER TABLE `jabatan` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=11; -- -- AUTO_INCREMENT for table `keluarga` -- ALTER TABLE `keluarga` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6; -- -- AUTO_INCREMENT for table `mutasi` -- ALTER TABLE `mutasi` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4; -- -- AUTO_INCREMENT for table `pengajuan` -- ALTER TABLE `pengajuan` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4; -- -- AUTO_INCREMENT for table `riwayat_pekerjaan` -- ALTER TABLE `riwayat_pekerjaan` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4; -- -- AUTO_INCREMENT for table `role` -- ALTER TABLE `role` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4; -- -- AUTO_INCREMENT for table `user` -- ALTER TABLE `user` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=10; 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>domoskanonos/devbox -- We put things inside the basic_auth schema to hide -- them from public view. Certain public procs/views will -- refer to helpers and tables inside. create schema if not exists basic_auth; -- add type jwt CREATE TYPE basic_auth.jwt_token AS ( token text ); CREATE EXTENSION IF NOT EXISTS pgcrypto SCHEMA basic_auth; -- following script is from url: https://github.com/michelp/pgjwt/blob/master/pgjwt--0.1.1.sql ###START### CREATE OR REPLACE FUNCTION basic_auth.url_encode(data bytea) RETURNS text LANGUAGE sql AS $$ SELECT translate(encode(data, 'base64'), E'+/=\n', '-_'); $$ IMMUTABLE; CREATE OR REPLACE FUNCTION basic_auth.url_decode(data text) RETURNS bytea LANGUAGE sql AS $$ WITH t AS (SELECT translate(data, '-_', '+/') AS trans), rem AS (SELECT length(t.trans) % 4 AS remainder FROM t) -- compute padding size SELECT decode( t.trans || CASE WHEN rem.remainder > 0 THEN repeat('=', (4 - rem.remainder)) ELSE '' END, 'base64') FROM t, rem; $$ IMMUTABLE; CREATE OR REPLACE FUNCTION basic_auth.algorithm_sign(signables text, secret text, algorithm text) RETURNS text LANGUAGE sql AS $$ WITH alg AS ( SELECT CASE WHEN algorithm = 'HS256' THEN 'sha256' WHEN algorithm = 'HS384' THEN 'sha384' WHEN algorithm = 'HS512' THEN 'sha512' ELSE '' END AS id) -- hmac throws error SELECT basic_auth.url_encode(basic_auth.hmac(signables, secret, alg.id)) FROM alg; $$ IMMUTABLE; CREATE OR REPLACE FUNCTION basic_auth.sign(payload json, secret text, algorithm text DEFAULT 'HS256') RETURNS text LANGUAGE sql AS $$ WITH header AS ( SELECT basic_auth.url_encode(convert_to('{"alg":"' || algorithm || '","typ":"JWT"}', 'utf8')) AS data ), payload AS ( SELECT basic_auth.url_encode(convert_to(payload::text, 'utf8')) AS data ), signables AS ( SELECT header.data || '.' || payload.data AS data FROM header, payload ) SELECT signables.data || '.' || basic_auth.algorithm_sign(signables.data, secret, algorithm) FROM signables; $$ IMMUTABLE; CREATE OR REPLACE FUNCTION basic_auth.verify(token text, secret text, algorithm text DEFAULT 'HS256') RETURNS table(header json, payload json, valid boolean) LANGUAGE sql AS $$ SELECT convert_from(basic_auth.url_decode(r[1]), 'utf8')::json AS header, convert_from(basic_auth.url_decode(r[2]), 'utf8')::json AS payload, r[3] = basic_auth.algorithm_sign(r[1] || '.' || r[2], secret, algorithm) AS valid FROM regexp_split_to_array(token, '\.') r; $$ IMMUTABLE; --- ###END### create table if not exists basic_auth.users ( email text primary key check ( email ~* '^.+@.+\..+$' ), pass text not null check (length(pass) < 512), role name not null check (length(role) < 512) ); create or replace function basic_auth.check_role_exists() returns trigger as $$ begin if not exists (select 1 from pg_roles as r where r.rolname = new.role) then raise foreign_key_violation using message = 'unknown database role: ' || new.role; return null; end if; return new; end $$ language plpgsql; drop trigger if exists ensure_user_role_exists on basic_auth.users; create constraint trigger ensure_user_role_exists after insert or update on basic_auth.users for each row execute procedure basic_auth.check_role_exists(); -- Next we’ll use the pgcrypto extension and a trigger to keep passwords safe in the users table. ---START create or replace function basic_auth.encrypt_pass() returns trigger as $$ begin if tg_op = 'INSERT' or new.pass <> old.pass then new.pass = basic_auth.crypt(new.pass, gen_salt('bf')); end if; return new; end $$ language plpgsql; drop trigger if exists encrypt_pass on basic_auth.users; create trigger encrypt_pass before insert or update on basic_auth.users for each row execute procedure basic_auth.encrypt_pass(); ---ENDE --- With the table in place we can make a helper to check a password against the encrypted column. It returns the database role for a user if the email and password are correct. create or replace function basic_auth.user_role(email text, pass text) returns name language plpgsql as $$ begin return ( select role from basic_auth.users where users.email = user_role.email and users.pass = basic_auth.crypt(user_role.pass, users.pass) ); end; $$; --- Login ---As described in JWT from SQL, we’ll create a JWT inside our login function. Note that you’ll need to adjust the secret key which is hard-coded in this example to a secure (at least thirty-two character) secret of your choosing. -- example user --- INSERT INTO basic_auth.users(email, pass, role) VALUES ('<EMAIL>', '<password>', 'auth_user_all');
<filename>sql/test/sql/test.sql \i schema.sql TRUNCATE hello.birthday; SELECT hello.store_birthday('Nguyễn Văn A', '0001-01-01'); SELECT * FROM hello.retrieve_birthday_message('Nguyễn Văn A', current_date); SELECT hello.store_birthday('Nguyễn Văn A', '2016-02-29'); SELECT * FROM hello.retrieve_birthday_message('Nguyễn Văn A', '2020-02-29'); SELECT * FROM hello.retrieve_birthday_message('Nguyễn Văn A', '2020-03-01'); SELECT * FROM hello.retrieve_birthday_message('Nguyễn Văn A', '2021-02-28'); SELECT * FROM hello.retrieve_birthday_message('Nguyễn Văn A', '2021-03-01');
<reponame>developersworkspace/EPONS IF EXISTS (SELECT * FROM sys.objects WHERE type = 'P' AND SCHEMA_NAME([schema_id]) = 'EPONS' AND QUOTENAME(name) = '[ListProvinces]') DROP PROCEDURE [EPONS].[ListProvinces] GO CREATE PROCEDURE [EPONS].[ListProvinces] @countryId UNIQUEIDENTIFIER AS SELECT [province].[ProvinceId] AS [Id], [province].[Name] AS [Name] FROM [ValueObjects].[Provinces] AS [province] WHERE [province].[CountryId] = @countryId ORDER BY [province].[Name] ASC EXEC [Audit].[CreateLogEntry] '[EPONS].[ListProvinces]', 'Executed'
<filename>SQL/sql_study_1/page10/exercise2.sql -- After "FROM purchases" add code to get rows where the price column is not NULL SELECT * FROM purchases WHERE price IS NOT NULL;
<gh_stars>1-10 DROP SCHEMA IF EXISTS temp CASCADE; create schema temp; CREATE TABLE temp.cms_temp ( "npi" INT, "name_last" TEXT, "name_first" TEXT, "name_middle" TEXT, "credentials" TEXT, "gender" TEXT, "entity_type" TEXT, "address_street_01" TEXT, "address_street_02" TEXT, "address_city" TEXT, "address_zip_code" TEXT, "address_state" TEXT, "address_country" TEXT, "provider_type" TEXT, "mcare_participation_indicator" TEXT, "place_of_service" TEXT, "hcpcs_code" TEXT, "hcpcs_description" TEXT, "hcpcs_drug_indicator" TEXT, "n_of_svcs" TEXT, "n_of_mcare_beneficiaries" INT, "n_of_distinct_mcare_beneficiary_per_day_svcs" INT, "avg_mcare_allowed_amt" NUMERIC, "avg_submitted_charge_amt" NUMERIC, "avg_mcare_pay_amt" NUMERIC, "avg_mcare_standardized_amt" NUMERIC );
:setvar path "C:\Git\EasyLOB-2\EasyLOB-Tools-2\SQL\SQLServer" :r $(path)\Activity.CREATE.sql :r $(path)\AuditTrail.CREATE.sql :r $(path)\Identity.CREATE.sql :r $(path)\Identity.INSERT.sql
--1 SELECT name FROM world WHERE population > (SELECT population FROM world WHERE name='Russia') --2 SELECT name FROM world WHERE continent = 'Europe' AND gdp/population > (SELECT gdp/population FROM world WHERE name = 'United Kingdom'); --3 SELECT name, continent FROM world WHERE continent IN (SELECT continent FROM world WHERE name IN ('Argentina', 'Australia')) ORDER BY name; -- 4 SELECT name, population FROM world WHERE population > (SELECT population FROM world WHERE name = 'Canada') AND population < (SELECT population FROM world WHERE name = 'Poland'); --5 SELECT name, CONCAT(ROUND(100*population/(SELECT population FROM world WHERE name = 'Germany')), '%') FROM world WHERE continent = 'Europe'; -- 6 SELECT name FROM world WHERE gdp > ALL(SELECT gdp FROM world WHERE gdp > 0 AND continent = 'Europe'); -- 7 SELECT continent, name, area FROM world x WHERE area >= ALL(SELECT area FROM world y WHERE x.continent = y.continent AND y.area > 0); -- 8 SELECT continent, name FROM world x WHERE name <= ALL(SELECT name FROM world y WHERE x.continent = y.continent); --9 SELECT name, continent, population FROM world WHERE continent IN (SELECT continent FROM world AS x WHERE 25000000 >= ALL (SELECT population FROM world AS y WHERE x.continent = y.continent)); -- 10 SELECT name, continent FROM world AS x WHERE population / 3 > ALL(SELECT population FROM world AS y WHERE x.name <> y.name AND x.continent = y.continent AND population IS NOT NULL);
-- ---------------------------- -- Table structure for todo -- ---------------------------- DROP TABLE IF EXISTS `todo`; CREATE TABLE `todo` ( `id` int(11) NOT NULL AUTO_INCREMENT, `content` varchar(255) NOT NULL, `finished` enum('yes','no') NOT NULL DEFAULT 'no', PRIMARY KEY (`id`) ) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8;
 -- vTargetMail supports targeted mailing data model -- Uses vDMPrep to determine if a customer buys a bike and joins to DimCustomer CREATE VIEW [dbo].[vTargetMail] AS SELECT c.[CustomerKey], c.[GeographyKey], c.[CustomerAlternateKey], c.[Title], c.[FirstName], c.[MiddleName], c.[LastName], c.[NameStyle], c.[BirthDate], c.[MaritalStatus], c.[Suffix], c.[Gender], c.[EmailAddress], c.[YearlyIncome], c.[TotalChildren], c.[NumberChildrenAtHome], c.[EnglishEducation], c.[SpanishEducation], c.[FrenchEducation], c.[EnglishOccupation], c.[SpanishOccupation], c.[FrenchOccupation], c.[HouseOwnerFlag], c.[NumberCarsOwned], c.[AddressLine1], c.[AddressLine2], c.[Phone], c.[DateFirstPurchase], c.[CommuteDistance], x.[Region], x.[Age], CASE x.[Bikes] WHEN 0 THEN 0 ELSE 1 END AS [BikeBuyer] FROM [dbo].[DimCustomer] c INNER JOIN ( SELECT [CustomerKey] ,[Region] ,[Age] ,Sum( CASE [EnglishProductCategoryName] WHEN 'Bikes' THEN 1 ELSE 0 END) AS [Bikes] FROM [dbo].[vDMPrep] GROUP BY [CustomerKey] ,[Region] ,[Age] ) AS [x] ON c.[CustomerKey] = x.[CustomerKey] ;
<filename>IRISAPP.session.sql select ID, httpStatusCode, operation, operationStatusText, SUBSTRING(body,1) from petshop_msg.GenericResponse order by id desc
-- file:union.sql ln:39 expect:true SELECT 1.1 AS three UNION SELECT 2 UNION ALL SELECT 2 ORDER BY 1
exec sp_executesql @stmt=N'begin try declare @dbid int; set @dbid = db_id(); declare @cnt int; declare @record_count int; declare @sql_handle varbinary(64); declare @sql_handle_string varchar(130); declare @grand_total_worker_time float ; declare @grand_total_IO float ; declare @sql_handle_convert_table table( row_id int identity , t_sql_handle varbinary(64) , t_display_option varchar(140) collate database_default , t_display_optionIO varchar(140) collate database_default , t_sql_handle_text varchar(140) collate database_default , t_SPRank int , t_SPRank2 int , t_SQLStatement varchar(max) collate database_default , t_execution_count int , t_plan_generation_num int , t_last_execution_time datetime , t_avg_worker_time float , t_total_worker_time bigint , t_last_worker_time bigint , t_min_worker_time bigint , t_max_worker_time bigint , t_avg_logical_reads float , t_total_logical_reads bigint , t_last_logical_reads bigint , t_min_logical_reads bigint , t_max_logical_reads bigint , t_avg_logical_writes float , t_total_logical_writes bigint , t_last_logical_writes bigint , t_min_logical_writes bigint , t_max_logical_writes bigint , t_avg_IO float , t_total_IO bigint , t_last_IO bigint , t_min_IO bigint , t_max_IO bigint ); declare @objects table ( obj_rank int , total_cpu bigint , total_reads bigint , total_writes bigint , total_io bigint , avg_cpu bigint , avg_reads bigint , avg_writes bigint , avg_io bigint , cpu_rank int , total_cpu_rank int , read_rank int , write_rank int , io_rank int ); insert into @sql_handle_convert_table Select sql_handle , sql_handle as chart_display_option , sql_handle as chart_display_optionIO , master.dbo.fn_varbintohexstr(sql_handle) , dense_rank() over (order by s1.sql_handle) as SPRank , dense_rank() over (partition by s1.sql_handle order by s1.statement_start_offset) as SPRank2 , (select top 1 substring(text,(s1.statement_start_offset+2)/2, (case when s1.statement_end_offset = -1 then len(convert(nvarchar(max),text))*2 else s1.statement_end_offset end - s1.statement_start_offset) /2 ) from sys.dm_exec_sql_text(s1.sql_handle)) as [SQL Statement] , execution_count , plan_generation_num , last_execution_time , ((total_worker_time+0.0)/execution_count)/1000 as [avg_worker_time] , total_worker_time/1000 , last_worker_time/1000 , min_worker_time/1000 , max_worker_time/1000 , ((total_logical_reads+0.0)/execution_count) as [avg_logical_reads] , total_logical_reads , last_logical_reads , min_logical_reads , max_logical_reads , ((total_logical_writes+0.0)/execution_count) as [avg_logical_writes] , total_logical_writes , last_logical_writes , min_logical_writes , max_logical_writes , ((total_logical_writes+0.0)/execution_count + (total_logical_reads+0.0)/execution_count) as [avg_IO] , total_logical_writes + total_logical_reads , last_logical_writes +last_logical_reads , min_logical_writes +min_logical_reads , max_logical_writes + max_logical_reads from sys.dm_exec_query_stats s1 cross apply sys.dm_exec_sql_text(sql_handle) as s2 where s2.objectid is null order by s1.sql_handle; select @grand_total_worker_time = sum(t_total_worker_time) , @grand_total_IO = sum(t_total_logical_reads + t_total_logical_writes) from @sql_handle_convert_table; select @grand_total_worker_time = case when @grand_total_worker_time > 0 then @grand_total_worker_time else 1.0 end ; select @grand_total_IO = case when @grand_total_IO > 0 then @grand_total_IO else 1.0 end ; Insert into @objects select t_SPRank , sum(t_total_worker_time) , sum(t_total_logical_reads) , sum(t_total_logical_writes) , sum(t_total_IO) , sum(t_avg_worker_time) as avg_cpu , sum(t_avg_logical_reads) , sum(t_avg_logical_writes) , sum(t_avg_IO) , rank() over(order by sum(t_avg_worker_time) desc) , row_number() over(order by sum(t_total_worker_time) desc) , row_number() over(order by sum(t_avg_logical_reads) desc) , row_number() over(order by sum(t_avg_logical_writes) desc) , row_number() over(order by sum(t_total_IO) desc) from @sql_handle_convert_table group by t_SPRank ; update @sql_handle_convert_table set t_display_option = ''show_total'' where t_SPRank in (select obj_rank from @objects where (total_cpu+0.0)/@grand_total_worker_time < 0.05) ; update @sql_handle_convert_table set t_display_option = t_sql_handle_text where t_SPRank in (select obj_rank from @objects where total_cpu_rank <= 5) ; update @sql_handle_convert_table set t_display_option = ''show_total'' where t_SPRank in (select obj_rank from @objects where (total_cpu+0.0)/@grand_total_worker_time < 0.005); update @sql_handle_convert_table set t_display_optionIO = ''show_total'' where t_SPRank in (select obj_rank from @objects where (total_io+0.0)/@grand_total_IO < 0.05); update @sql_handle_convert_table set t_display_optionIO = t_sql_handle_text where t_SPRank in (select obj_rank from @objects where io_rank <= 5) ; update @sql_handle_convert_table set t_display_optionIO = ''show_total'' where t_SPRank in (select obj_rank from @objects where (total_io+0.0)/@grand_total_IO < 0.005); select (s.t_SPRank)%2 as l1 , (dense_rank() over(order by s.t_SPRank,s.row_id))%2 as l2 , s.* , ob.cpu_rank as t_CPURank , ob.read_rank as t_ReadRank , ob.write_rank as t_WriteRank from @sql_handle_convert_table s join @objects ob on (s.t_SPRank = ob.obj_rank) end try begin catch select -100 as l1 , ERROR_NUMBER() as l2 , ERROR_SEVERITY() as row_id , ERROR_STATE() as t_sql_handle , ERROR_MESSAGE() as t_display_option , 1 as t_display_optionIO , 1 as t_sql_handle_text , 1 as t_SPRank , 1 as t_SPRank2 , 1 as t_SQLStatement , 1 as t_execution_count , 1 as t_plan_generation_num , 1 as t_last_execution_time , 1 as t_avg_worker_time , 1 as t_total_worker_time , 1 as t_last_worker_time , 1 as t_min_worker_time , 1 as t_max_worker_time , 1 as t_avg_logical_reads , 1 as t_total_logical_reads , 1 as t_last_logical_reads , 1 as t_min_logical_reads , 1 as t_max_logical_reads , 1 as t_avg_logical_writes , 1 as t_total_logical_writes , 1 as t_last_logical_writes , 1 as t_min_logical_writes , 1 as t_max_logical_writes , 1 as t_avg_IO , 1 as t_total_IO , 1 as t_last_IO , 1 as t_min_IO , 1 as t_max_IO, 1 as t_CPURank, 1 as t_ReadRank, 1 as t_WriteRank end catch',@params=N''
CREATE PROCEDURE [dbo].[UPD_PAGOPENDIENTE_PR] @P_ID_PAGO int AS Begin SET NOCOUNT ON; UPDATE TBL_PAGOS_PENDIENTES SET ESTADO_PAGO = 'Cancelado' where ID_PAGO = @P_ID_PAGO End GO
<reponame>jlaneve/astro SELECT customer_id, count(*) AS purchase_count FROM orders_table WHERE purchase_date >= DATEADD(day, -7, '{{ execution_date }}')
-- phpMyAdmin SQL Dump -- version 4.7.0 -- https://www.phpmyadmin.net/ -- -- Host: 127.0.0.1 -- Generation Time: 29 Jan 2018 pada 07.15 -- Versi Server: 10.1.25-MariaDB -- PHP Version: 7.1.7 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: `kp3` -- -- -------------------------------------------------------- -- -- Struktur dari tabel `cabang` -- CREATE TABLE `cabang` ( `id` int(20) NOT NULL, `proxy` varchar(200) NOT NULL, `lokasi` varchar(200) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data untuk tabel `cabang` -- INSERT INTO `cabang` (`id`, `proxy`, `lokasi`) VALUES (1, 'Gpro Media', 'Gamping'), (2, 'Cia Media', 'Sleman dan sekitarnya'), (3, 'Muvon Multimedia', 'Banguntapan'), (4, 'Kahyangan Multimedia ', 'Bantul'), (5, 'Akbar Multimedia', 'Jl. Babarsari Blok 16 No.1A, Caturtunggal, Kec. Depok, Kabupaten Sleman, Daerah Istimewa Yogyakarta 55281'), (7, 'Sewa Proyektor Murah Jogja (SPMJ)', 'Jogja Kota'); -- -------------------------------------------------------- -- -- Struktur dari tabel `jurnalpembelian` -- CREATE TABLE `jurnalpembelian` ( `id` int(11) NOT NULL, `tgl_pembelian` varchar(20) NOT NULL, `no_akun` int(4) NOT NULL, `nama_akun` varchar(40) NOT NULL, `saldo` int(7) NOT NULL, `jenis` varchar(10) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data untuk tabel `jurnalpembelian` -- INSERT INTO `jurnalpembelian` (`id`, `tgl_pembelian`, `no_akun`, `nama_akun`, `saldo`, `jenis`) VALUES (7, '31 January 2017', 7, 'edi', 300000, 'Debit'), (13, '14 January 2017', 9, 'dika', 43252, 'Debit'), (26, '12 January 2017', 2141, 'asdfa', 224, 'Debit'), (27, '17 January 2017', 10, 'diding', 120000, 'Kredit'), (28, '19 January 2017', 11, 'eko', 120029, 'Debit'), (29, '27 January 2017', 12, 'sigit', 221000, 'Kredit'), (30, '15 February 2017', 13, 'ryan', 324222, 'Kredit'), (31, '17 January 2017', 1, 'alfat', 122000, 'Kredit'); -- -------------------------------------------------------- -- -- Struktur dari tabel `jurnalumum` -- CREATE TABLE `jurnalumum` ( `id` int(11) NOT NULL, `tgl_pembelian` varchar(20) NOT NULL, `jurnal` varchar(20) NOT NULL, `akun_debit` varchar(20) NOT NULL, `total_debit` int(10) NOT NULL, `akun_kredit` varchar(20) NOT NULL, `total_kredit` int(10) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data untuk tabel `jurnalumum` -- INSERT INTO `jurnalumum` (`id`, `tgl_pembelian`, `jurnal`, `akun_debit`, `total_debit`, `akun_kredit`, `total_kredit`) VALUES (4, '19 January 2017', 'Pembelian', 'eko', 120029, 'KAS', 120029), (5, '27 January 2017', 'Pembelian', 'KAS', 221000, 'sigit', 221000), (6, '15 February 2017', 'Pembelian', 'KAS', 324222, 'ryan', 324222), (7, '18 January 2017', 'Penjualan', 'dila', 420222, 'KAS', 420222), (8, '10 January 2017', 'Penggajian', 'KAS', 203399, 'deden', 203399), (9, '04 January 2017', 'Penerimaan', 'KAS', 233122, 'rahmat', 233122), (13, '12 January 2017', 'Pengeluaran Kas', 'lulud', 123112, 'KAS', 123112), (14, '16 January 2017', 'Penerimaan Kas', 'aris', 230000, 'KAS', 230000), (15, '17 January 2017', 'Pembelian', 'KAS', 122000, 'alfat', 122000), (16, '13 January 2017', 'Penjualan', 'KAS', 212333, 'sinta', 212333), (17, '08 January 2017', 'Penggajian', 'ica', 122999, 'KAS', 122999), (18, '09 January 2017', 'Pengeluaran Kas', 'KAS', 120000, 'rista', 120000); -- -------------------------------------------------------- -- -- Struktur dari tabel `jurnal_kas` -- CREATE TABLE `jurnal_kas` ( `id` int(11) NOT NULL, `tgl_penerimaan` varchar(20) NOT NULL, `no_akun` int(10) NOT NULL, `nama_akun` varchar(40) NOT NULL, `saldo` int(10) NOT NULL, `jenis` varchar(10) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data untuk tabel `jurnal_kas` -- INSERT INTO `jurnal_kas` (`id`, `tgl_penerimaan`, `no_akun`, `nama_akun`, `saldo`, `jenis`) VALUES (1, '04 January 2017', 1, 'rahmat', 233122, 'Kredit'), (2, '16 January 2017', 2, 'aris', 230000, 'Debit'); -- -------------------------------------------------------- -- -- Struktur dari tabel `jurnal_pengeluaran_kas` -- CREATE TABLE `jurnal_pengeluaran_kas` ( `id` int(11) NOT NULL, `tgl_pengeluaran` varchar(20) NOT NULL, `no_akun` int(10) NOT NULL, `nama_akun` varchar(40) NOT NULL, `saldo` int(10) NOT NULL, `jenis` varchar(10) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data untuk tabel `jurnal_pengeluaran_kas` -- INSERT INTO `jurnal_pengeluaran_kas` (`id`, `tgl_pengeluaran`, `no_akun`, `nama_akun`, `saldo`, `jenis`) VALUES (4, '12 January 2017', 1, 'lulud', 123112, 'Debit'), (5, '09 January 2017', 2, 'rista', 120000, 'Kredit'); -- -------------------------------------------------------- -- -- Struktur dari tabel `jurnal_penggajian` -- CREATE TABLE `jurnal_penggajian` ( `id` int(11) NOT NULL, `tgl_penggajian` varchar(20) NOT NULL, `no_akun` int(10) NOT NULL, `nama_akun` varchar(40) NOT NULL, `saldo` int(10) NOT NULL, `jenis` varchar(10) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data untuk tabel `jurnal_penggajian` -- INSERT INTO `jurnal_penggajian` (`id`, `tgl_penggajian`, `no_akun`, `nama_akun`, `saldo`, `jenis`) VALUES (1, '10 January 2017', 1, 'deden', 203399, 'Kredit'), (2, '08 January 2017', 2, 'ica', 122999, 'Debit'); -- -------------------------------------------------------- -- -- Struktur dari tabel `jurnal_penjualan` -- CREATE TABLE `jurnal_penjualan` ( `id` int(11) NOT NULL, `tgl_penjualan` varchar(20) NOT NULL, `no_akun` int(10) NOT NULL, `nama_akun` varchar(40) NOT NULL, `saldo` int(10) NOT NULL, `jenis` varchar(10) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data untuk tabel `jurnal_penjualan` -- INSERT INTO `jurnal_penjualan` (`id`, `tgl_penjualan`, `no_akun`, `nama_akun`, `saldo`, `jenis`) VALUES (1, '18 January 2017', 1, 'dila', 420222, 'Debit'), (2, '13 January 2017', 2, 'sinta', 212333, 'Kredit'); -- -------------------------------------------------------- -- -- Struktur dari tabel `keluar` -- CREATE TABLE `keluar` ( `id_keluar` int(10) NOT NULL, `id_proxy` varchar(200) NOT NULL, `tanggal` varchar(100) NOT NULL, `bulan` varchar(20) NOT NULL, `tahun` int(20) NOT NULL, `nama_proxy` varchar(100) NOT NULL, `detail` varchar(100) NOT NULL, `jumlah` varchar(100) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data untuk tabel `keluar` -- INSERT INTO `keluar` (`id_keluar`, `id_proxy`, `tanggal`, `bulan`, `tahun`, `nama_proxy`, `detail`, `jumlah`) VALUES (1, '1', '26', 'januari', 2018, 'imam', 'Kartu Nama', '520000'), (3, '3', '2018/01/22', '', 0, 'imam', 'Pulsa', '55000'), (6, '18', '2018-01-01', '', 0, 'Dede', 'Pulsa', '50000'), (7, '18', '2018-01-08', '', 0, 'Dede', 'Bensin', '20000'), (14, '82', '2018-01-01', '', 0, 'Ibnu Ubaidillah', 'kuota', '55000'), (16, '82', '2018-01-01', '', 0, 'Ibnu Ubaidillah', 'disetor ht', '1890000'), (19, '4', '01', 'januari', 2018, 'Ade', 'Delivery mbk ida TBY', '20000'), (20, '4', '02', 'januari', 2018, 'Ade', 'Paketan', '55000'); -- -------------------------------------------------------- -- -- Struktur dari tabel `pemasukkan` -- CREATE TABLE `pemasukkan` ( `id_masuk` int(10) NOT NULL, `id_proxy` int(20) NOT NULL, `nama_proxy` varchar(200) NOT NULL, `tanggal` varchar(200) NOT NULL, `bulan` varchar(20) NOT NULL, `tahun` int(20) NOT NULL, `nama_pelanggan` varchar(200) NOT NULL, `paket` varchar(200) NOT NULL, `no_invoice` varchar(30) NOT NULL, `income` int(30) NOT NULL, `share_office` int(30) NOT NULL, `share_proxy` int(20) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data untuk tabel `pemasukkan` -- INSERT INTO `pemasukkan` (`id_masuk`, `id_proxy`, `nama_proxy`, `tanggal`, `bulan`, `tahun`, `nama_pelanggan`, `paket`, `no_invoice`, `income`, `share_office`, `share_proxy`) VALUES (1, 18, 'Dede', '01', 'januari', 2018, 'je jamuran', 'Ht. 18 Hari', '1', 2700000, 1890000, 0), (2, 18, 'Dede', '03', 'januari', 2018, 'sujitno', 'proyektor 2500 lumens', '54', 50000, 20000, 0), (4, 4, 'Ade', '01', 'januari', 2018, 'C Zidni', 'P2500/24 jam', '2', 100000, 75000, 25000), (5, 4, 'Ade', '10', 'januari', 2018, 'C Dr mbk ida', 'VGA 2 + Splitter+D/20 jam', '5', 140000, 98000, 42000), (6, 4, 'Ade', '12', 'januari', 2018, 'C Pets', 'P2500+S+D/24 jam', '3', 160000, 110000, 50000), (7, 4, 'Ade', '12', 'januari', 2018, 'C SSCI', 'P2500+D/24 jam', '6', 130000, 85000, 45000), (8, 4, 'Ade', '12', 'januari', 2018, 'C Bringin ', 'P2500+D/6 jam', '6', 80000, 55000, 25000), (9, 4, 'Ade', '14', 'januari', 2018, 'C Pohan', 'P2500/24 jam', '7', 100000, 75000, 25000), (10, 4, 'Ade', '15', 'januari', 2018, 'C Gigantara', 'P2500+Pointer+VGA 20+D/6 jam', '8', 130000, 82500, 47500), (11, 4, 'Ade', '16', 'januari', 2018, 'C Wilih Angga', 'P2500+D/24 jam', '9', 125000, 85000, 124915), (12, 4, 'Ade', '17', 'januari', 2018, 'C Dr mas Fendi', 'P2500/2×24 jam', '10', 200000, 150000, 50000), (13, 4, 'Ade', '18', 'januari', 2018, 'C Gigantara', 'Pointer+D/1 hari', '11', 45000, 25000, 20000), (14, 4, 'Ade', '18', 'januari', 2018, 'C Haffazh', 'P2500/6 jam', '12', 60000, 45000, 15000), (15, 4, 'Ade', '06', 'maret', 2018, 'sdfd', 'sff', '34', 343, 34, 309), (16, 4, 'Ade', '26', 'januari', 2018, 'C Arianto', 'P2500/6 jam', '14', 60000, 45000, 15000), (17, 4, 'Ade', '27', 'januari', 2018, 'C Bantul', 'P2500+D/6 jam', '16', 85000, 55000, 30000), (18, 4, 'Ade', '28', 'januari', 2018, 'C Dadakan', 'P2500/12 jam', '19', 80000, 60000, 20000); -- -------------------------------------------------------- -- -- Struktur dari tabel `proxy` -- CREATE TABLE `proxy` ( `id_proxy` int(11) NOT NULL, `nama_proxy` varchar(200) NOT NULL, `cabang` varchar(200) NOT NULL, `email_proxy` varchar(200) NOT NULL, `no_wa` varchar(200) NOT NULL, `lokasi` varchar(200) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data untuk tabel `proxy` -- INSERT INTO `proxy` (`id_proxy`, `nama_proxy`, `cabang`, `email_proxy`, `no_wa`, `lokasi`) VALUES (4, 'Ade', 'Sewa Proyektor Murah Jogja (SPMJ)', '<EMAIL>', '085602029861', 'jalan gayam, semakin kulon, umbulharjo'), (18, '<NAME>', 'Akbar Multimedia', '<EMAIL>', '085865580179', 'Babarsari Tb 17/19 Masjid Ksatria Taqwwa'), (82, 'Ibnu Ubaidillah', 'Sewa Proyektor Murah Jogja (SPMJ)', '<EMAIL>', '081391052952', 'Jl. garuda belakang taman makam pahlawan (kusumanegara)'), (98, '<NAME>', 'Gpro Media', '<EMAIL>', '085743318914', 'Gamping Lor RT 3 RW 11, Ambarketawang, Gamping, Sleman'); -- -------------------------------------------------------- -- -- Struktur dari tabel `user` -- CREATE TABLE `user` ( `id` varchar(500) NOT NULL, `username` varchar(15) NOT NULL DEFAULT '', `pass` varchar(10) NOT NULL, `level` varchar(10) NOT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1; -- -- Dumping data untuk tabel `user` -- INSERT INTO `user` (`id`, `username`, `pass`, `level`) VALUES ('1', 'admin', 'admin', 'admin'), ('18', 'dede', 'dede', 'proxy'), ('4', 'ade', 'Sharemore3', 'proxy'), ('46', 'edo', 'Sharemore3', 'proxy'), ('82', 'ibnu', 'sheremore', 'proxy'), ('98', 'imam', 'Sharemore3', 'proxy'); -- -- Indexes for dumped tables -- -- -- Indexes for table `cabang` -- ALTER TABLE `cabang` ADD PRIMARY KEY (`id`); -- -- Indexes for table `jurnalpembelian` -- ALTER TABLE `jurnalpembelian` ADD PRIMARY KEY (`id`); -- -- Indexes for table `jurnalumum` -- ALTER TABLE `jurnalumum` ADD PRIMARY KEY (`id`); -- -- Indexes for table `jurnal_kas` -- ALTER TABLE `jurnal_kas` ADD PRIMARY KEY (`id`); -- -- Indexes for table `jurnal_pengeluaran_kas` -- ALTER TABLE `jurnal_pengeluaran_kas` ADD PRIMARY KEY (`id`); -- -- Indexes for table `jurnal_penggajian` -- ALTER TABLE `jurnal_penggajian` ADD PRIMARY KEY (`id`); -- -- Indexes for table `jurnal_penjualan` -- ALTER TABLE `jurnal_penjualan` ADD PRIMARY KEY (`id`); -- -- Indexes for table `keluar` -- ALTER TABLE `keluar` ADD PRIMARY KEY (`id_keluar`) USING BTREE; -- -- Indexes for table `pemasukkan` -- ALTER TABLE `pemasukkan` ADD PRIMARY KEY (`id_masuk`); -- -- Indexes for table `proxy` -- ALTER TABLE `proxy` ADD PRIMARY KEY (`id_proxy`); -- -- Indexes for table `user` -- ALTER TABLE `user` ADD PRIMARY KEY (`id`); -- -- AUTO_INCREMENT for dumped tables -- -- -- AUTO_INCREMENT for table `cabang` -- ALTER TABLE `cabang` MODIFY `id` int(20) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8; -- -- AUTO_INCREMENT for table `jurnalpembelian` -- ALTER TABLE `jurnalpembelian` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=32; -- -- AUTO_INCREMENT for table `jurnalumum` -- ALTER TABLE `jurnalumum` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=19; -- -- AUTO_INCREMENT for table `jurnal_kas` -- ALTER TABLE `jurnal_kas` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3; -- -- AUTO_INCREMENT for table `jurnal_pengeluaran_kas` -- ALTER TABLE `jurnal_pengeluaran_kas` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6; -- -- AUTO_INCREMENT for table `jurnal_penggajian` -- ALTER TABLE `jurnal_penggajian` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3; -- -- AUTO_INCREMENT for table `jurnal_penjualan` -- ALTER TABLE `jurnal_penjualan` MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3; -- -- AUTO_INCREMENT for table `keluar` -- ALTER TABLE `keluar` MODIFY `id_keluar` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=21; -- -- AUTO_INCREMENT for table `pemasukkan` -- ALTER TABLE `pemasukkan` MODIFY `id_masuk` int(10) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=19;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 */;
-- SPDX-License-Identifier: Apache-2.0 -- Licensed to the Ed-Fi Alliance under one or more agreements. -- The Ed-Fi Alliance licenses this file to you under the Apache License, Version 2.0. -- See the LICENSE and NOTICES files in the project root for more information. PRINT N'Adding foreign keys to [edfi].[Staff]' GO ALTER TABLE [edfi].[Staff] ADD CONSTRAINT [FK_Staff_CitizenshipStatusType] FOREIGN KEY ([CitizenshipStatusTypeId]) REFERENCES [edfi].[CitizenshipStatusType] ([CitizenshipStatusTypeId]) GO ALTER TABLE [edfi].[Staff] ADD CONSTRAINT [FK_Staff_LevelOfEducationDescriptor] FOREIGN KEY ([HighestCompletedLevelOfEducationDescriptorId]) REFERENCES [edfi].[LevelOfEducationDescriptor] ([LevelOfEducationDescriptorId]) GO ALTER TABLE [edfi].[Staff] ADD CONSTRAINT [FK_Staff_OldEthnicityType] FOREIGN KEY ([OldEthnicityTypeId]) REFERENCES [edfi].[OldEthnicityType] ([OldEthnicityTypeId]) GO ALTER TABLE [edfi].[Staff] ADD CONSTRAINT [FK_Staff_SexType] FOREIGN KEY ([SexTypeId]) REFERENCES [edfi].[SexType] ([SexTypeId]) GO
-- Verify ggircs:function_load_additional_data on pg begin; select pg_get_functiondef('swrs_transform.load_additional_data()'::regprocedure); rollback;
<reponame>yxm1536/arctern drop table if exists t1; create table t1 (geo1 geometry); copy t1 from '@path@/transform.csv' DELIMITER '|' csv header; select updategeometrysrid('t1','geo1',3857); \o @path@/st_transform.out select st_transform(geo1,4326) from t1; \o
<reponame>goldmansachs/obevo-kata<filename>kata-files/lesson2/hsql/expected/MYLARGESCHEMA/table/TABLE380.sql //// CHANGE name=change0 CREATE MEMORY TABLE TABLE380(ID INTEGER NOT NULL PRIMARY KEY,FIELD1 VARCHAR(30),USERTYPE4FIELD USERTYPE4,USERTYPE1FIELD USERTYPE1,USERTYPE5FIELD USERTYPE5) GO
<reponame>awslabs/pg-counter-metrics -- +----------------------------------------------------------------------------------------+ -- | -- Script Name: create_database_user_pwd_pgcm.sql | -- | -- Description : to create user_pgcm DB user that will be used to support | -- | the following *authentication types AWS* *Secrets* ** *Manager* ** *and* ** *|* -- | *clear password* *(**username**/**passsword**)* ** *.* *|* -- | -- Change History : | -- +----------------------------------------------------------------------------------------+ \echo 'pg db name: ':DBNAME \echo 'pg endpoint: ':HOST \prompt 'Please provide the user_pgcm User password :' user_pgcm_pwd create user sm_pgcm with login ENCRYPTED PASSWORD :'<PASSWORD>'; grant connect on database :DBNAME to user_pgcm; alter user user_pgcm connection limit 2; grant pg_monitor to user_pgcm; \du user_pgcm
<filename>src/test/tinc/tincrepo/mpp/gpdb/tests/utilities/backup_restore/incremental/dirty_dir_g2/alter_global_objects.sql -- @gucs gp_create_table_random_default_distribution=off -- Alter table set to a new tablespace Alter table tb_table1 set tablespace tbsp2; -- Alter role to a new resource queue Alter role bk_user1 resource queue rsq_2;