sql
stringlengths 6
1.05M
|
|---|
<reponame>MS-BI/JobExceutionFramework
CREATE VIEW [catalog].[object_parameters]
AS
SELECT params.[parameter_id],
params.[project_id],
params.[object_type],
params.[object_name],
params.[parameter_name],
params.[parameter_data_type] AS [data_type],
params.[required],
params.[sensitive],
params.[description],
params.[design_default_value],
params.[default_value],
params.[value_type],
params.[value_set],
params.[referenced_variable_name],
params.[validation_status],
params.[last_validation_time]
FROM [internal].[object_parameters] params INNER JOIN
[internal].[projects] proj ON (params.[project_version_lsn] = proj.[object_version_lsn]
AND params.[project_id] = proj.[project_id]) INNER JOIN
[internal].[object_versions] ver ON (ver.[object_type] = 20
AND ver.[object_id] = proj.[project_id]
AND ver.[object_version_lsn] = proj.[object_version_lsn])
WHERE params.[project_id] in (SELECT [id] FROM [internal].[current_user_readable_projects])
OR (IS_MEMBER('ssis_admin') = 1)
OR (IS_SRVROLEMEMBER('sysadmin') = 1)
|
-- MySQL dump 10.13 Distrib 8.0.15, for macos10.14 (x86_64)
--
-- Host: localhost Database: facebook
-- ------------------------------------------------------
-- Server version 8.0.15
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
SET NAMES utf8 ;
/*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */;
/*!40103 SET TIME_ZONE='+00:00' */;
/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
--
-- Table structure for table `likes`
--
DROP TABLE IF EXISTS `likes`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
SET character_set_client = utf8mb4 ;
CREATE TABLE `likes` (
`id_post` int(11) NOT NULL,
`id_usuario` int(11) NOT NULL,
PRIMARY KEY (`id_post`,`id_usuario`),
KEY `id_usuario` (`id_usuario`),
CONSTRAINT `likes_ibfk_1` FOREIGN KEY (`id_post`) REFERENCES `post` (`id`) ON DELETE CASCADE,
CONSTRAINT `likes_ibfk_2` FOREIGN KEY (`id_usuario`) REFERENCES `usuarios` (`id`) ON DELETE CASCADE
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `likes`
--
LOCK TABLES `likes` WRITE;
/*!40000 ALTER TABLE `likes` DISABLE KEYS */;
INSERT INTO `likes` VALUES (2,1),(2,2),(3,2),(1,5);
/*!40000 ALTER TABLE `likes` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `post`
--
DROP TABLE IF EXISTS `post`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
SET character_set_client = utf8mb4 ;
CREATE TABLE `post` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`titulo` varchar(45) NOT NULL,
`contenido` varchar(500) DEFAULT NULL,
`likes` int(11) DEFAULT '0',
`usuario_id` int(11) NOT NULL,
`categoria` varchar(45) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `fk_post_1_idx` (`usuario_id`),
CONSTRAINT `fk_post_1` FOREIGN KEY (`usuario_id`) REFERENCES `usuarios` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=latin1;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `post`
--
LOCK TABLES `post` WRITE;
/*!40000 ALTER TABLE `post` DISABLE KEYS */;
INSERT INTO `post` VALUES (1,'post de dario','dasdsadas',3,1,'node'),(2,'post de wen','das',0,2,'node'),(3,'otro posteo de dario','contenido',5,1,'javascript');
/*!40000 ALTER TABLE `post` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `usuarios`
--
DROP TABLE IF EXISTS `usuarios`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
SET character_set_client = utf8mb4 ;
CREATE TABLE `usuarios` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`nombre` varchar(45) NOT NULL,
`imagen` varchar(256) DEFAULT NULL,
`username` varchar(45) NOT NULL,
`bio` varchar(250) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=6 DEFAULT CHARSET=latin1;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `usuarios`
--
LOCK TABLES `usuarios` WRITE;
/*!40000 ALTER TABLE `usuarios` DISABLE KEYS */;
INSERT INTO `usuarios` VALUES (1,'<NAME>','https://avatars1.githubusercontent.com/u/1731297?s=400&v=4','dminones','La bio de dario'),(2,'wendy ','http://cms.ysu.edu/sites/default/files/images/administrative-offices/kilcawley-center/Wendys-Logo.png','wendy','la bio de wen'),(5,'dasdsa','sss','userdasda',NULL);
/*!40000 ALTER TABLE `usuarios` 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 2019-05-29 22:02:01
|
<reponame>getwasim/egov-smartcity-suites-test
CREATE SEQUENCE SEQ_EGPT_VACANCY_REMISSION_APPROVAL;
CREATE TABLE EGPT_VACANCY_REMISSION_APPROVAL
(
ID BIGINT NOT NULL,
VACANCYREMISSION BIGINT NOT NULL,
CHECKINDATE TIMESTAMP WITHOUT TIME ZONE NOT NULL,
COMMENTS VARCHAR(1000) NOT NULL,
STATE_ID BIGINT,
STATUS VARCHAR(50),
APPROVALDATE TIMESTAMP WITHOUT TIME ZONE,
ISAPPROVED boolean DEFAULT false,
CREATEDBY BIGINT NOT NULL,
CREATEDDATE TIMESTAMP WITHOUT TIME ZONE NOT NULL,
LASTMODIFIEDDATE TIMESTAMP WITHOUT TIME ZONE NOT NULL,
LASTMODIFIEDBY BIGINT NOT NULL,
VERSION BIGINT,
CONSTRAINT PK_EGPT_VR_APPROVAL_ID PRIMARY KEY (ID ),
CONSTRAINT FK_EGPT_VR_APPROVAL_VACANCYREMISSION_ID FOREIGN KEY (VACANCYREMISSION) REFERENCES EGPT_VACANCY_REMISSION (ID),
CONSTRAINT FK_EGPT_VR_APPROVAL_STATE FOREIGN KEY (STATE_ID) REFERENCES EG_WF_STATES (ID),
CONSTRAINT FK_EGPT_VR_APPROVAL_CREATEDBY FOREIGN KEY (CREATEDBY) REFERENCES EG_USER (ID),
CONSTRAINT FK_EGPT_VR_APPROVAL_LASTMODIFIEDBY FOREIGN KEY (LASTMODIFIEDBY) REFERENCES EG_USER (ID)
);
|
<filename>x2_export/sql/data_dump/data_tables_dump.sql
use x2data
SELECT GROUP_CONCAT(CONCAT("'",COLUMN_NAME,"'"))
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = 'student'
ORDER BY ORDINAL_POSITION
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_student_header.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT * FROM student
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_student_table.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT GROUP_CONCAT(CONCAT("'",COLUMN_NAME,"'"))
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = 'person_photo'
ORDER BY ORDINAL_POSITION
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_person_photo_header.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT * FROM person_photo
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_person_photo_table.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT GROUP_CONCAT(CONCAT("'",COLUMN_NAME,"'"))
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = 'person'
ORDER BY ORDINAL_POSITION
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_person_header.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT * FROM person
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_person_table.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT GROUP_CONCAT(CONCAT("'",COLUMN_NAME,"'"))
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = 'staff'
ORDER BY ORDINAL_POSITION
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_staff_header.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT * FROM staff
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_staff_table.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT GROUP_CONCAT(CONCAT("'",COLUMN_NAME,"'"))
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = 'school'
ORDER BY ORDINAL_POSITION
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_school_header.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT * FROM school
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_school_table.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT GROUP_CONCAT(CONCAT("'",COLUMN_NAME,"'"))
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = 'student_conduct_incident'
ORDER BY ORDINAL_POSITION
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_student_conduct_incident_header.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT * FROM student_conduct_incident
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_student_conduct_incident_table.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT GROUP_CONCAT(CONCAT("'",COLUMN_NAME,"'"))
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = 'student_attendance'
ORDER BY ORDINAL_POSITION
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_student_attendance_header.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT * FROM student_attendance
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_student_attendance_table.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT GROUP_CONCAT(CONCAT("'",COLUMN_NAME,"'"))
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = 'student_assessment'
ORDER BY ORDINAL_POSITION
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_student_assessment_header.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT * FROM student_assessment
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_student_assessment_table.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT GROUP_CONCAT(CONCAT("'",COLUMN_NAME,"'"))
FROM INFORMATION_SCHEMA.COLUMNS
WHERE TABLE_NAME = 'assessment_definition'
ORDER BY ORDINAL_POSITION
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_assessment_definition_header.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
SELECT * FROM assessment_definition
INTO OUTFILE "E:/_BACKUP_MYSQL/CodeForAmerica/dd_assessment_definition_table.txt"
FIELDS TERMINATED BY ','
ENCLOSED BY '"'
LINES TERMINATED BY '\r\n';
|
-- file:returning.sql ln:91 expect:true
CREATE TEMP VIEW voo AS SELECT f1, f2 FROM foo
|
<filename>WEEKS/wk17/CodeSignal-Solutions/CodeSignal-Solutions-master/Arcade/Databases/salaryDifference.sql
/*Please add ; after each select statement*/
CREATE PROCEDURE salaryDifference()
BEGIN
SELECT COALESCE(((SELECT MAX(salary) FROM employees) *
(
SELECT COUNT(salary) FROM employees
WHERE salary = (SELECT MAX(salary) FROM employees)
)) - (SELECT MIN(salary) FROM employees) *
(
SELECT COUNT(salary) FROM employees
WHERE salary = (SELECT MIN(salary) FROM employees)
), 0) AS difference;
END
|
<gh_stars>100-1000
CREATE TABLE [dbo].[sqlwatch_meta_index]
(
[sql_instance] varchar(32) not null,
[sqlwatch_database_id] smallint not null,
[sqlwatch_table_id] int not null,
[sqlwatch_index_id] int identity(1,1) not null,
[index_name] nvarchar(128),
[index_id] int not null,
[index_type_desc] nvarchar(128),
[date_created] datetime not null constraint df_sqlwatch_meta_index_date_created default (getutcdate()),
[date_updated] datetime,
[date_last_seen] datetime null constraint df_sqlwatch_meta_index_last_seen default (getutcdate()),
[is_record_deleted] bit
constraint pk_sqlwatch_meta_index primary key clustered (
[sql_instance],[sqlwatch_database_id], [sqlwatch_table_id], [sqlwatch_index_id]
),
constraint fk_sqlwatch_meta_index foreign key ([sql_instance],[sqlwatch_database_id],[sqlwatch_table_id])
references [dbo].[sqlwatch_meta_table] ([sql_instance],[sqlwatch_database_id],[sqlwatch_table_id]) on delete cascade
--constraint uq_sqlwatch_meta_index unique (
-- [sql_instance], [sqlwatch_database_id], [sqlwatch_table_id], [index_name]
-- )
)
|
/* SCRIPT SQL de mise à jour des localisations dans une nouvelle table mares.localisations */
------------------------------------------------------------------------
--CREATE TABLE
CREATE TABLE mares.localisations
(
loc_id serial NOT NULL,
loc_id_plus text,
loc_uuid uuid DEFAULT uuid_generate_v1(),
loc_nom text,
loc_proprietaire text,
loc_statut text,
loc_date date,
loc_obsv text,
loc_comt text,
loc_geom geometry,
car_ids text,
CONSTRAINT localisations_pkey PRIMARY KEY (loc_id)
);
CREATE TRIGGER set_code_plus
AFTER INSERT OR UPDATE OR DELETE
ON mares.localisations
FOR EACH ROW
EXECUTE PROCEDURE loc_codeplus();
------------------------------------------------------------------------
------------------------------------------------------------------------
-- INSERT FROM OLD FORMAT WITH DATEs CORRECTION
insert into mares.localisations(
loc_nom, loc_proprietaire, loc_statut,
loc_date, loc_obsv, loc_comt, loc_geom, car_ids)
SELECT "L_NOM", "L_PROP", "L_STATUT",
CASE WHEN "L_DATE" < 0 THEN a_get_date_fromint(0::int)::date
WHEN "L_DATE" > 2147483647 THEN Now()::date
ELSE a_get_date_fromint("L_DATE"::int)::date
END as date_,
"L_OBSV", "C_COMT", geom, null
FROM saisie_observation.localisation
--where "L_DATE">-31948506021 and 31948506021>"L_DATE"
;
------------------------------------------------------------------------
------------------------------------------------------------------------
--Convertion des valeurs vers le texte correspondant
--STATUT
UPDATE mares.localisations set loc_statut =
CASE WHEN loc_statut = '2' THEN 'Potentielle'
WHEN loc_statut = '3' THEN 'Vue'
WHEN loc_statut = '4' THEN 'Caractérisée'
WHEN loc_statut = '5' THEN 'Disparue'
ELSE 'A saisir'
END;
--PROPRIETAIRE
UPDATE mares.localisations set loc_proprietaire =
CASE WHEN loc_proprietaire = '2' THEN 'Public'
WHEN loc_proprietaire = '3' THEN 'Privé'
WHEN loc_proprietaire = '4' THEN 'Mixte'
WHEN loc_proprietaire = '5' THEN 'Inconnu'
ELSE 'A saisir'
END;
------------------------------------------------------------------------
|
drop table GESTIONACTIVIDADES_FACTURA_ACTIVIDAD_LINK cascade ;
|
--
-- Copyright 2015-2018 Mohawk College of Applied Arts and Technology
--
--
-- Licensed under the Apache License, Version 2.0 (the "License"); you
-- may not use this file except in compliance with the License. You may
-- obtain a copy of the License at
--
-- http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing, software
-- distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
-- WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
-- License for the specific language governing permissions and limitations under
-- the License.
--
-- User: Nityan
-- Date: 2017-1-13
--
INSERT INTO report_format (id, name) VALUES ('BC0CEDFE-5F35-4A63-84B4-8C1998F130EA', 'csv');
INSERT INTO report_format (id, name) VALUES ('2240B6D1-C29D-4F9F-86A8-B1916294841B', 'docx');
INSERT INTO report_format (id, name) VALUES ('0FBB2A5E-3786-431B-9424-04DB6ADFED1B', 'html');
INSERT INTO report_format (id, name) VALUES ('30D73CF0-09D9-4527-B43D-3949093A098F', 'jprint');
INSERT INTO report_format (id, name) VALUES ('AF4F9771-2022-4C9C-8FB4-8BD7C1206829', 'ods');
INSERT INTO report_format (id, name) VALUES ('E8E4E72E-842E-43A2-9FC8-5C9F5B80FCD3', 'odt');
INSERT INTO report_format (id, name) VALUES ('C6E350F6-E273-4815-AF46-300B38C2E77E', 'pdf');
INSERT INTO report_format (id, name) VALUES ('36E0A49A-B408-4A99-903B-5D93F20597ED', 'rtf');
INSERT INTO report_format (id, name) VALUES ('90996710-8D38-4E5B-8A78-7561C5EC885E', 'xls');
INSERT INTO report_format (id, name) VALUES ('F51F86A5-634D-4671-B93F-0690A4799F52', 'xlsx');
INSERT INTO report_format (id, name) VALUES ('7871DAFE-64C7-452B-8C09-E3DBDCFE7AF3', 'xml');
|
<filename>sql/V9.0.3__hasqrwrite.sql
alter table renta add column if not exists has_qr_write boolean not null default false;
alter table renta add column if not exists price integer not null
constraint renta_price_fk references price(id);
|
<reponame>vbroskas/steam-user
-- drop tables in reverse order to start fresh every time
DROP TABLE IF EXISTS input;
DROP TABLE IF EXISTS review;
DROP TABLE IF EXISTS user;
-- creating the user entity table
CREATE TABLE user (
-- always start with your primary key first!!
-- make it of size and type INT, give it auto increment bec it's a primary key, and require a value so use NOT NULL
userId INT UNSIGNED AUTO_INCREMENT NOT NULL,
-- now make the other attributes
-- bec its a handle, use varchar(32), and NOT NULL, because it's required
userHandle VARCHAR(32) NOT NULL,
userImage VARCHAR(32) NOT NULL,
userEmail VARCHAR(128) NOT NULL,
-- using NVARCHAR for salt and hash because it can accept unicode
userSalt NVARCHAR(64) NOT NULL,
userHash NVARCHAR(128) NOT NULL,
-- to make sure input is unique use UNIQUE to index
UNIQUE(userHandle),
UNIQUE(userEmail),
-- create unique ID for this table:
PRIMARY KEY (userId)
);
-- creating the review entity table----------------------------------------------------------------------------
CREATE TABLE review (
-- creating the primary key for reviewId
reviewId INT UNSIGNED AUTO_INCREMENT NOT NULL,
reviewUserId INT UNSIGNED NOT NULL,
reviewDate DATETIME NOT NULL,
reviewContent VARCHAR(500) NOT NULL,
-- use boolean for recommendation thumbs up/down
reviewRecommendation BOOLEAN DEFAULT NULL,
-- now, create index before creating foreign key
INDEX(reviewUserId),
-- now, create the foreign key relationship
FOREIGN KEY(reviewUserId) REFERENCES user(userId),
-- lastly create the primary key for the review table
PRIMARY KEY (reviewId)
);
-- create the input entity table (WEAK ENTITY)-------------------------------------------------------------------------------
CREATE TABLE input(
-- first call in the two foreign keys you will be using
inputReviewId INT UNSIGNED NOT NULL,
inputUserId INT UNSIGNED NOT NULL,
inputHelpful BOOLEAN DEFAULT NULL,
inputFunny BOOLEAN DEFAULT NULL,
-- index the foreign keys
INDEX (inputReviewId),
INDEX (inputUserId),
-- make the foreign key relationships
FOREIGN KEY (inputReviewId) REFERENCES review(reviewId),
FOREIGN KEY (inputUserId) REFERENCES user(userId),
-- create primary key composite from two foreign keys
PRIMARY KEY (inputReviewId, inputUserId)
);
|
<filename>db/Tables/Tags.sql
CREATE TABLE [dbo].[Tags] (
[ID] UNIQUEIDENTIFIER NOT NULL PRIMARY KEY,
[Label] NVARCHAR(64) NOT NULL
)
|
CREATE VIEW [dbo].[VwVisitor]
AS
SELECT [VisitorID]
,[FirstName]
,[LastName]
,[Address]
,[Email]
FROM [dbo].[Visitor];
GO
|
<filename>sql/articles.sql
CREATE TABLE articles (
id CHAR(36) PRIMARY KEY COMMENT 'Primary Key UUID',
title VARCHAR(255) COMMENT 'Title of a blog post',
slug VARCHAR(255) COMMENT 'An SEO and human friendly lookup key',
meta_keywords VARCHAR(255) COMMENT 'Meta data for SEO',
meta_description VARCHAR(255) COMMENT 'Meta data for SEO',
body TEXT COMMENT 'The coment of the blog post',
user_id VARCHAR(36) COMMENT 'The creator of the blog post',
created DATETIME DEFAULT CURRENT_TIMESTAMP COMMENT 'Timestamp of post creation',
modified DATETIME DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT 'Timestamp of last post modification'
) ENGINE=INNODB;
|
ALTER TABLE `teams` CHANGE `plan_id` `plan_id` VARCHAR(10) NOT NULL DEFAULT '0' COMMENT '0 is free trial plan, multiple plan to be stored comma separately';
|
<gh_stars>0
-- phpMyAdmin SQL Dump
-- version 4.8.5
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Sep 24, 2019 at 03:09 PM
-- Server version: 10.1.38-MariaDB
-- PHP Version: 7.2.17
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: `satellitetv`
--
-- --------------------------------------------------------
--
-- Table structure for table `areatechnician`
--
CREATE TABLE `areatechnician` (
`technicianarea_ID` int(11) NOT NULL,
`technician_ID` int(100) NOT NULL,
`area` text NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `carduser`
--
CREATE TABLE `carduser` (
`carduser_ID` int(11) NOT NULL,
`customerID` int(11) NOT NULL,
`cardnumber` varchar(100) NOT NULL,
`vender` text NOT NULL,
`installationmethode` varchar(50) NOT NULL,
`partialstatus` int(11) NOT NULL,
`finishstatus` int(11) NOT NULL,
`partialcomments` text NOT NULL,
`amount` varchar(11) NOT NULL DEFAULT '',
`purchasedate` datetime NOT NULL,
`activestatus` int(11) NOT NULL DEFAULT '0'
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `carduser`
--
INSERT INTO `carduser` (`carduser_ID`, `customerID`, `cardnumber`, `vender`, `installationmethode`, `partialstatus`, `finishstatus`, `partialcomments`, `amount`, `purchasedate`, `activestatus`) VALUES
(57, 52, '01518438824', 'DishTV', '', 0, 0, '', '', '0000-00-00 00:00:00', 1),
(58, 53, '01564785239', 'DishTV', '', 0, 0, '', '', '0000-00-00 00:00:00', 0),
(59, 54, '10577026312', 'Sundirect', '', 0, 0, '', '', '0000-00-00 00:00:00', 1),
(62, 57, '42805989631', 'DishTV', '', 0, 0, '', '', '0000-00-00 00:00:00', 1);
-- --------------------------------------------------------
--
-- Table structure for table `customer`
--
CREATE TABLE `customer` (
`customerID` int(100) NOT NULL,
`username` varchar(100) NOT NULL,
`fullname` text NOT NULL,
`area` text NOT NULL,
`gsdivision` varchar(30) NOT NULL,
`address` varchar(100) NOT NULL,
`contactno` int(10) NOT NULL,
`image` varchar(50) NOT NULL,
`mobilenocode` bigint(20) NOT NULL,
`mobileconfirmation` int(11) NOT NULL DEFAULT '0'
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `customer`
--
INSERT INTO `customer` (`customerID`, `username`, `fullname`, `area`, `gsdivision`, `address`, `contactno`, `image`, `mobilenocode`, `mobileconfirmation`) VALUES
(52, '783441705v', '<NAME>', 'nallur', 'J/103', '221,point pedro rd, annaipanthy,jaffna', 779591178, 'images/783441705v/dishtv.jpg', 197882979, 2),
(53, '724117456v', 'balasingam servel', 'nallur', 'J/101', '254,pointpedro rd, nallur', 764541176, 'images/724117456v/', 1306080470, 2),
(54, '796114578v', '<NAME>', 'nallur', 'J/102', 'thirumagal rd, Ariyalai south,Jaffna', 773536647, 'images/796114578v/sundirect.jpg', 185985833, 2),
(56, '853441705v', '<NAME>', 'nallur', 'J/102', '43,navalar rd,jaffna', 706321147, 'images/853441705v/sundir.png', 361112182, 2),
(57, '783554715v', '<NAME>', 'nallur', 'J/101', '21,pointpedro rd jaffna', 762891456, '', 1314838593, 2);
-- --------------------------------------------------------
--
-- Table structure for table `dsdivision`
--
CREATE TABLE `dsdivision` (
`ds_ID` int(11) NOT NULL,
`dsdivision` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `dsdivision`
--
INSERT INTO `dsdivision` (`ds_ID`, `dsdivision`) VALUES
(1, 'Nallur'),
(2, 'jaffna'),
(3, 'kopay'),
(4, 'vaikamamsouth');
-- --------------------------------------------------------
--
-- Table structure for table `gs_division`
--
CREATE TABLE `gs_division` (
`gs_ID` int(11) NOT NULL,
`DS_ID` int(11) NOT NULL,
`gsdivision` varchar(20) NOT NULL,
`name` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `gs_division`
--
INSERT INTO `gs_division` (`gs_ID`, `DS_ID`, `gsdivision`, `name`) VALUES
(1, 1, 'J/100', 'Vannarpannai North East'),
(2, 1, 'J/101', 'Neeraviyady'),
(3, 1, 'J/102', 'Kantharmadam North west'),
(4, 1, 'J/103', 'Kantharmadam North'),
(5, 2, 'j/96', 'chundukuli'),
(6, 2, 'j/98', 'eechamodai');
-- --------------------------------------------------------
--
-- Table structure for table `jobassignment`
--
CREATE TABLE `jobassignment` (
`jobassignID` int(11) NOT NULL,
`complaientID` int(11) NOT NULL,
`technicianID` int(11) NOT NULL,
`status` int(11) NOT NULL DEFAULT '0'
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `knotification`
--
CREATE TABLE `knotification` (
`knotificationID` int(11) NOT NULL,
`cardnumber` int(11) NOT NULL,
`message` text NOT NULL,
`date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `newconnectioncard`
--
CREATE TABLE `newconnectioncard` (
`newconnectionID` int(11) NOT NULL,
`nicno` varchar(30) NOT NULL,
`vendor` varchar(50) NOT NULL,
`vcnumber` varchar(50) NOT NULL,
`installationmethode` varchar(50) NOT NULL,
`amount` int(11) NOT NULL,
`Status` int(11) NOT NULL DEFAULT '0'
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `newconnectioncard`
--
INSERT INTO `newconnectioncard` (`newconnectionID`, `nicno`, `vendor`, `vcnumber`, `installationmethode`, `amount`, `Status`) VALUES
(8, '724117456v', 'DishTV', '01564785239', 'srisat', 6500, 1),
(9, '742114562v', 'DishTV', '', 'self', 5500, 0),
(10, '783554715v', 'DishTV', '42805989631', 'srisat', 6500, 1);
-- --------------------------------------------------------
--
-- Table structure for table `package`
--
CREATE TABLE `package` (
`packageid` int(11) NOT NULL,
`packagename` text NOT NULL,
`month` int(11) NOT NULL,
`amount` int(11) NOT NULL,
`tvid` int(11) NOT NULL,
`date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `package`
--
INSERT INTO `package` (`packageid`, `packagename`, `month`, `amount`, `tvid`, `date`) VALUES
(2, 'South Silver for 1 month', 1, 600, 14, '2019-05-10 18:01:02'),
(3, 'South Silver for 3 month', 3, 1700, 14, '2019-05-10 18:01:30'),
(4, 'tamilpropack1', 1, 750, 15, '2019-05-25 10:50:11'),
(5, 'tamilpropack2', 3, 1850, 15, '2019-05-25 10:50:50'),
(6, 'tamil DPO1', 1, 600, 17, '2019-05-25 10:51:14'),
(7, 'tamil DPO1', 3, 1700, 17, '2019-05-25 10:51:40');
-- --------------------------------------------------------
--
-- Table structure for table `payment`
--
CREATE TABLE `payment` (
`paymentID` int(11) NOT NULL,
`rechargeID` int(11) NOT NULL,
`amount` int(11) NOT NULL,
`date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `recharge`
--
CREATE TABLE `recharge` (
`rechargeID` int(11) NOT NULL,
`name` varchar(50) NOT NULL DEFAULT 'yyy',
`contactno` varchar(50) NOT NULL DEFAULT '0',
`vendorname` varchar(25) NOT NULL,
`vcno` varchar(100) NOT NULL,
`packageID` int(11) NOT NULL,
`amount` decimal(11,0) NOT NULL,
`status` int(11) NOT NULL DEFAULT '0',
`date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`recharged_date` date NOT NULL DEFAULT '0000-00-00',
`expireddate` date NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `recharge`
--
INSERT INTO `recharge` (`rechargeID`, `name`, `contactno`, `vendorname`, `vcno`, `packageID`, `amount`, `status`, `date`, `recharged_date`, `expireddate`) VALUES
(1, 'kajan', '0779591178', 'Sundirect', '10456989654', 7, '1700', 1, '2019-05-28 15:12:50', '2019-05-28', '2019-08-28'),
(2, 'janakan', '0779591178', 'DishtvTV', '10545566666', 4, '750', 1, '2019-05-28 15:13:34', '2019-05-28', '2019-06-28'),
(3, '<NAME>', '779591178', 'Sundirect', '1054879877', 7, '1700', 1, '2019-05-28 15:15:57', '2019-05-28', '2019-08-28'),
(4, '<NAME>', '779591178', 'Sundirect', '1054879877', 7, '1700', 0, '2019-05-28 17:58:35', '0000-00-00', '0000-00-00'),
(5, 'nagarajah kajan', '779591178', 'Sundirect', '1245789654', 6, '600', 0, '2019-05-28 17:59:55', '0000-00-00', '0000-00-00'),
(6, 'gfdgdfg', '435435', 'DishtvTV', '345345', 4, '750', 0, '2019-05-28 18:18:38', '0000-00-00', '0000-00-00'),
(7, 'gfdgdfg', '435435', 'DishtvTV', '345345', 4, '750', 0, '2019-05-28 18:23:02', '0000-00-00', '0000-00-00'),
(8, 'erter', '435', 'DishtvTV', '34', 4, '750', 1, '2019-07-05 15:00:59', '2019-07-05', '2019-08-05'),
(9, 'dfdsd', '234', 'DishtvTV', '234', 4, '750', 1, '2019-07-05 14:58:19', '2019-07-05', '2019-08-05'),
(10, '<NAME>', '779591178', 'DishTV', '015478956412', 4, '750', 1, '2019-05-31 03:22:51', '2019-05-31', '2019-07-01'),
(11, '<NAME>', '779591178', 'DishTV', '015478956412', 5, '1850', 0, '2019-05-31 03:22:17', '0000-00-00', '0000-00-00'),
(12, '<NAME>', '0775647787', 'Videocon', '01523689742', 2, '600', 0, '2019-07-02 12:09:30', '0000-00-00', '0000-00-00'),
(13, '<NAME>', '0774586614', 'Sundirect', '10547896352', 7, '1700', 0, '2019-07-02 12:10:53', '0000-00-00', '0000-00-00'),
(14, '<NAME>', '0774586621', 'DishTV', '10456789123', 5, '1850', 0, '2019-07-02 12:13:27', '0000-00-00', '0000-00-00'),
(15, 'kulasekaramkajan', '762828985', 'DishTV', '10547127865', 5, '1850', 1, '2019-07-06 04:44:54', '2019-07-06', '2019-10-06'),
(16, '<NAME>', '706321147', 'DishTV', '01547244444', 4, '750', 1, '2019-07-07 07:48:50', '2019-07-07', '2019-08-07'),
(17, '<NAME>', '762891456', 'DishTV', '42805989631', 4, '750', 1, '2019-07-08 03:54:50', '2019-07-08', '2019-08-08');
-- --------------------------------------------------------
--
-- Table structure for table `repaicomplaient`
--
CREATE TABLE `repaicomplaient` (
`complaientID` int(11) NOT NULL,
`customerID` int(11) NOT NULL,
`vcnumber` bigint(20) NOT NULL,
`address` varchar(100) NOT NULL,
`contactnumber` bigint(10) NOT NULL,
`errorcode` varchar(100) NOT NULL,
`finishstatus` int(11) NOT NULL DEFAULT '0',
`partialstatus` int(11) NOT NULL DEFAULT '0',
`partialcomments` varchar(50) NOT NULL,
`technicianrepaircomments` varchar(100) NOT NULL,
`date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `repaicomplaient`
--
INSERT INTO `repaicomplaient` (`complaientID`, `customerID`, `vcnumber`, `address`, `contactnumber`, `errorcode`, `finishstatus`, `partialstatus`, `partialcomments`, `technicianrepaircomments`, `date`) VALUES
(1, 56, 41332012651, '43,navalar rd,jaffna', 706321147, 'e -407', 0, 1, 'Bad Weather', '', '2019-06-07 08:51:34'),
(2, 56, 41332012651, '43,navalar rd,jaffna', 706321147, 'e-450', 1, 0, 'Low Signal', '', '2019-07-07 09:04:51'),
(3, 57, 42805989631, '21,pointpedro rd jaffna', 762891456, 'low signal', 1, 0, '', '', '2019-07-07 04:05:18'),
(4, 54, 10577026312, 'thirumagal rd, Ariyalai south,Jaffna', 773536647, 'low signal', 0, 0, '', '', '2019-07-08 04:24:27');
-- --------------------------------------------------------
--
-- Table structure for table `repaircostestimation`
--
CREATE TABLE `repaircostestimation` (
`estimationID` int(11) NOT NULL,
`repaircomplaientid` int(11) NOT NULL,
`customerid` int(11) NOT NULL,
`technicianid` int(11) NOT NULL,
`servicecharge` int(11) NOT NULL,
`lmpchange` int(11) NOT NULL,
`receivercharge` int(11) NOT NULL,
`cablecharge` int(11) NOT NULL,
`adminapproval` int(11) NOT NULL DEFAULT '0',
`customerapproval` int(11) NOT NULL DEFAULT '0',
`customerapproveddate` date NOT NULL,
`technicianestimation` int(11) NOT NULL DEFAULT '0'
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `repaircostestimation`
--
INSERT INTO `repaircostestimation` (`estimationID`, `repaircomplaientid`, `customerid`, `technicianid`, `servicecharge`, `lmpchange`, `receivercharge`, `cablecharge`, `adminapproval`, `customerapproval`, `customerapproveddate`, `technicianestimation`) VALUES
(1, 1, 56, 18, 450, 0, 0, 150, 1, 1, '2019-07-07', 1),
(2, 2, 56, 18, 450, 500, 0, 100, 1, 1, '2019-07-07', 1),
(3, 3, 57, 18, 540, 250, 0, 0, 1, 1, '2019-07-08', 1),
(4, 4, 54, 18, 452, 234, 0, 0, 0, 0, '0000-00-00', 1);
-- --------------------------------------------------------
--
-- Table structure for table `repairjob`
--
CREATE TABLE `repairjob` (
`jobid` int(11) NOT NULL,
`complaientid` int(11) NOT NULL,
`technicianid` int(11) NOT NULL,
`amount` int(11) NOT NULL,
`remarks` text NOT NULL,
`jobstatus` int(11) NOT NULL DEFAULT '0'
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `satellitetv`
--
CREATE TABLE `satellitetv` (
`tvID` int(11) NOT NULL,
`tvname` text,
`price` int(11) NOT NULL,
`date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `satellitetv`
--
INSERT INTO `satellitetv` (`tvID`, `tvname`, `price`, `date`) VALUES
(14, 'Videocon', 5000, '2019-01-02 13:51:37'),
(15, 'DishTV', 5500, '2019-05-31 03:14:31'),
(17, 'Sundirect', 4500, '2019-05-25 02:59:08');
-- --------------------------------------------------------
--
-- Table structure for table `sripoints`
--
CREATE TABLE `sripoints` (
`pointID` int(11) NOT NULL,
`customerID` int(11) NOT NULL,
`rechargedate` date NOT NULL,
`points` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `sundurect`
--
CREATE TABLE `sundurect` (
`packageID` int(11) NOT NULL,
`tvID` int(11) NOT NULL,
`packagename` varchar(50) NOT NULL,
`amount` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `sundurect`
--
INSERT INTO `sundurect` (`packageID`, `tvID`, `packagename`, `amount`) VALUES
(2, 12, 'tamil Ecomony Pack 1month', 450),
(3, 12, 'tamil Ecomony Pack 3month', 1250),
(4, 12, 'tamil Ecomony Pack 6month', 2500),
(5, 12, 'tamil Ecomony Pack 12month', 5000);
-- --------------------------------------------------------
--
-- Table structure for table `technician`
--
CREATE TABLE `technician` (
`technicianID` int(100) NOT NULL,
`username` varchar(100) NOT NULL,
`fullname` text NOT NULL,
`mobilenumber` int(10) NOT NULL,
`workingarea` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `technician`
--
INSERT INTO `technician` (`technicianID`, `username`, `fullname`, `mobilenumber`, `workingarea`) VALUES
(18, '745661705v', '<NAME>', 769591178, 'nallur');
-- --------------------------------------------------------
--
-- Table structure for table `tvconnection`
--
CREATE TABLE `tvconnection` (
`connectionID` int(11) NOT NULL,
`nicnumber` varchar(15) NOT NULL,
`fullname` varchar(50) NOT NULL,
`email` varchar(50) NOT NULL,
`dsdivision` varchar(50) NOT NULL,
`gsdivision` varchar(50) NOT NULL,
`installationaddress` varchar(100) NOT NULL,
`landlinenumber` int(10) NOT NULL,
`contactno` int(10) NOT NULL,
`partialstatus` int(11) NOT NULL DEFAULT '0',
`finishstatus` int(11) NOT NULL,
`connectionstatuscomments` varchar(50) NOT NULL,
`status` int(11) NOT NULL DEFAULT '0',
`date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tvconnection`
--
INSERT INTO `tvconnection` (`connectionID`, `nicnumber`, `fullname`, `email`, `dsdivision`, `gsdivision`, `installationaddress`, `landlinenumber`, `contactno`, `partialstatus`, `finishstatus`, `connectionstatuscomments`, `status`, `date`) VALUES
(8, '724117456v', 'balasingam servel', '', 'nallur', 'J/101', '254,pointpedro rd, nallur', 212221849, 764541176, 1, 1, 'Low Signal', 0, '2019-07-07 07:34:53'),
(9, '742114562v', '<NAME>', '', 'jaffna', 'J/89', '12,kandy road, ariyalai', 212221459, 728695147, 0, 0, '', 0, '2019-07-07 08:24:42'),
(10, '783554715v', '<NAME>', '', 'nallur', 'J/101', '21,pointpedro rd jaffna', 212221784, 762891456, 1, 1, 'Bad Weather', 0, '2019-07-08 03:49:03');
-- --------------------------------------------------------
--
-- Table structure for table `user`
--
CREATE TABLE `user` (
`user_ID` int(11) NOT NULL,
`username` varchar(700) NOT NULL,
`password` varchar(255) NOT NULL,
`usertype` text NOT NULL,
`adminapproval` int(11) NOT NULL DEFAULT '0',
`adminjeject` int(11) NOT NULL DEFAULT '0',
`date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `user`
--
INSERT INTO `user` (`user_ID`, `username`, `password`, `usertype`, `adminapproval`, `adminjeject`, `date`) VALUES
(1, 'adminF', '<PASSWORD>', 'adminfunction', 1, 0, '2019-07-02 14:31:51'),
(2, 'adminM', 'f04194654c8affc91757d5c8855c7c79', 'adminmanagement', 1, 0, '2019-07-02 14:13:19'),
(83, '783441705v', 'f04194654c8affc91757d5c8855c7c79', 'Customer', 0, 0, '2019-07-06 17:40:52'),
(86, '745661705v', 'f04194654c8affc91757d5c8855c7c79', 'Technician', 1, 0, '2019-07-06 19:38:38'),
(87, '724117456v', 'f04194654c8affc91757d5c8855c7c79', 'Customer', 0, 0, '2019-07-06 21:20:09'),
(88, '796114578v', 'f04194654c8affc91757d5c8855c7c79', 'Customer', 0, 0, '2019-07-07 01:27:46'),
(90, '853441705v', 'f04194654c8affc91757d5c8855c7c79', 'Customer', 0, 0, '2019-07-07 03:19:17'),
(91, '783554715v', 'f04194654c8affc91757d5c8855c7c79', 'Customer', 0, 0, '2019-07-08 03:50:30'),
(92, '745661789v', 'f04194654c8affc91757d5c8855c7c79', 'Customer', 0, 0, '2019-07-08 04:08:32');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `areatechnician`
--
ALTER TABLE `areatechnician`
ADD PRIMARY KEY (`technicianarea_ID`);
--
-- Indexes for table `carduser`
--
ALTER TABLE `carduser`
ADD PRIMARY KEY (`carduser_ID`);
--
-- Indexes for table `customer`
--
ALTER TABLE `customer`
ADD PRIMARY KEY (`customerID`,`username`);
--
-- Indexes for table `dsdivision`
--
ALTER TABLE `dsdivision`
ADD PRIMARY KEY (`ds_ID`);
--
-- Indexes for table `gs_division`
--
ALTER TABLE `gs_division`
ADD PRIMARY KEY (`gs_ID`);
--
-- Indexes for table `jobassignment`
--
ALTER TABLE `jobassignment`
ADD PRIMARY KEY (`jobassignID`);
--
-- Indexes for table `knotification`
--
ALTER TABLE `knotification`
ADD PRIMARY KEY (`knotificationID`);
--
-- Indexes for table `newconnectioncard`
--
ALTER TABLE `newconnectioncard`
ADD PRIMARY KEY (`newconnectionID`);
--
-- Indexes for table `package`
--
ALTER TABLE `package`
ADD PRIMARY KEY (`packageid`);
--
-- Indexes for table `payment`
--
ALTER TABLE `payment`
ADD PRIMARY KEY (`paymentID`);
--
-- Indexes for table `recharge`
--
ALTER TABLE `recharge`
ADD PRIMARY KEY (`rechargeID`);
--
-- Indexes for table `repaicomplaient`
--
ALTER TABLE `repaicomplaient`
ADD PRIMARY KEY (`complaientID`);
--
-- Indexes for table `repaircostestimation`
--
ALTER TABLE `repaircostestimation`
ADD PRIMARY KEY (`estimationID`);
--
-- Indexes for table `repairjob`
--
ALTER TABLE `repairjob`
ADD PRIMARY KEY (`jobid`);
--
-- Indexes for table `satellitetv`
--
ALTER TABLE `satellitetv`
ADD PRIMARY KEY (`tvID`);
--
-- Indexes for table `sripoints`
--
ALTER TABLE `sripoints`
ADD PRIMARY KEY (`pointID`);
--
-- Indexes for table `sundurect`
--
ALTER TABLE `sundurect`
ADD PRIMARY KEY (`packageID`);
--
-- Indexes for table `technician`
--
ALTER TABLE `technician`
ADD PRIMARY KEY (`technicianID`);
--
-- Indexes for table `tvconnection`
--
ALTER TABLE `tvconnection`
ADD PRIMARY KEY (`connectionID`);
--
-- Indexes for table `user`
--
ALTER TABLE `user`
ADD PRIMARY KEY (`user_ID`,`username`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `areatechnician`
--
ALTER TABLE `areatechnician`
MODIFY `technicianarea_ID` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `carduser`
--
ALTER TABLE `carduser`
MODIFY `carduser_ID` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=63;
--
-- AUTO_INCREMENT for table `customer`
--
ALTER TABLE `customer`
MODIFY `customerID` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=58;
--
-- AUTO_INCREMENT for table `dsdivision`
--
ALTER TABLE `dsdivision`
MODIFY `ds_ID` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `gs_division`
--
ALTER TABLE `gs_division`
MODIFY `gs_ID` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=7;
--
-- AUTO_INCREMENT for table `jobassignment`
--
ALTER TABLE `jobassignment`
MODIFY `jobassignID` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `knotification`
--
ALTER TABLE `knotification`
MODIFY `knotificationID` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `newconnectioncard`
--
ALTER TABLE `newconnectioncard`
MODIFY `newconnectionID` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=11;
--
-- AUTO_INCREMENT for table `package`
--
ALTER TABLE `package`
MODIFY `packageid` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- AUTO_INCREMENT for table `payment`
--
ALTER TABLE `payment`
MODIFY `paymentID` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `recharge`
--
ALTER TABLE `recharge`
MODIFY `rechargeID` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=18;
--
-- AUTO_INCREMENT for table `repaicomplaient`
--
ALTER TABLE `repaicomplaient`
MODIFY `complaientID` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `repaircostestimation`
--
ALTER TABLE `repaircostestimation`
MODIFY `estimationID` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `repairjob`
--
ALTER TABLE `repairjob`
MODIFY `jobid` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `satellitetv`
--
ALTER TABLE `satellitetv`
MODIFY `tvID` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=18;
--
-- AUTO_INCREMENT for table `sripoints`
--
ALTER TABLE `sripoints`
MODIFY `pointID` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `sundurect`
--
ALTER TABLE `sundurect`
MODIFY `packageID` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
--
-- AUTO_INCREMENT for table `technician`
--
ALTER TABLE `technician`
MODIFY `technicianID` int(100) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=19;
--
-- AUTO_INCREMENT for table `tvconnection`
--
ALTER TABLE `tvconnection`
MODIFY `connectionID` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=11;
--
-- AUTO_INCREMENT for table `user`
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ALTER TABLE `user`
MODIFY `user_ID` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=93;
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<filename>kredit (3).sql
-- phpMyAdmin SQL Dump
-- version 3.5.2.2
-- http://www.phpmyadmin.net
--
-- Inang: 127.0.0.1
-- Waktu pembuatan: 29 Agu 2020 pada 08.02
-- Versi Server: 5.5.27
-- Versi PHP: 5.4.7
SET SQL_MODE="NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
--
-- Basis data: `kredit`
--
-- --------------------------------------------------------
--
-- Struktur dari tabel `admin`
--
CREATE TABLE IF NOT EXISTS `admin` (
`id_admin` char(25) NOT NULL,
`username` char(15) NOT NULL,
`password` text NOT NULL,
`nama_lengkap` char(35) NOT NULL,
`email` char(35) NOT NULL,
`no_telp` char(15) NOT NULL,
`alamat` text NOT NULL,
`fotoprofil` varchar(100) NOT NULL,
PRIMARY KEY (`id_admin`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data untuk tabel `admin`
--
INSERT INTO `admin` (`id_admin`, `username`, `password`, `nama_lengkap`, `email`, `no_telp`, `alamat`, `fotoprofil`) VALUES
('ADM007', 'admin', '<PASSWORD>', 'Rohimah M<PASSWORD>', '<EMAIL>', '083805934468', 'Perum Taman Persada Blok D11 No 15 RT 004/009 Desa Cibarusah Kota Kec.Cibarusah Kota Kab.Bekasi 17340', 'gambar1594260451.jpg'),
('ADM008', 'haris', 'c0ba88b8bca79ca3b50b96abdf431766', '<NAME>', '<EMAIL>', '085284196123', 'Perum Firdaus Residence Blok A12 no 19 RT 007/01 Kec. Cibarusah Kab.Bekasi 17340', 'gambar1594260572.jpg');
-- --------------------------------------------------------
--
-- Struktur dari tabel `aplikasi`
--
CREATE TABLE IF NOT EXISTS `aplikasi` (
`id_aplikasi` char(50) NOT NULL,
`id_province` char(2) NOT NULL,
`id_regencies` char(4) NOT NULL,
`id_pemohon` char(25) NOT NULL,
`nama_lengkap` char(35) NOT NULL,
`jenis_kelamin` char(25) NOT NULL,
`tgl_lahir` date NOT NULL,
`alamat` text NOT NULL,
`tempat_lahir` char(25) NOT NULL,
`kode_pos` char(10) NOT NULL,
`status` text NOT NULL,
`telp` char(15) NOT NULL,
`pendidikan` char(10) NOT NULL,
`tgl_beli` date NOT NULL,
`status_perkawinan` char(15) DEFAULT NULL,
`nama_pasangan` char(35) NOT NULL,
`jml_tanggungan` int(8) NOT NULL,
`ibu_kandung` char(35) NOT NULL,
`agama` char(15) NOT NULL,
`pihak_dihubungi` char(35) NOT NULL,
`hub_kel` char(15) NOT NULL,
`alamat_kel` text NOT NULL,
`telp_kel` varchar(15) NOT NULL,
`tipe_pendapatan` char(15) NOT NULL,
`jenis_pekerjaan` char(25) NOT NULL,
`nama_perusahaan` char(25) NOT NULL,
`alamat_per` text NOT NULL,
`lama_bekerja` int(8) NOT NULL,
`pendapatan` char(20) NOT NULL,
`SIUP` char(25) NOT NULL,
`NPWP_per` char(25) NOT NULL,
`jumlah_kredit` char(25) NOT NULL,
`jangka_waktu` int(8) NOT NULL,
`tujuan_kredit` char(25) NOT NULL,
`angsuran_perbulan` char(25) NOT NULL,
PRIMARY KEY (`id_aplikasi`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data untuk tabel `aplikasi`
--
INSERT INTO `aplikasi` (`id_aplikasi`, `id_province`, `id_regencies`, `id_pemohon`, `nama_lengkap`, `jenis_kelamin`, `tgl_lahir`, `alamat`, `tempat_lahir`, `kode_pos`, `status`, `telp`, `pendidikan`, `tgl_beli`, `status_perkawinan`, `nama_pasangan`, `jml_tanggungan`, `ibu_kandung`, `agama`, `pihak_dihubungi`, `hub_kel`, `alamat_kel`, `telp_kel`, `tipe_pendapatan`, `jenis_pekerjaan`, `nama_perusahaan`, `alamat_per`, `lama_bekerja`, `pendapatan`, `SIUP`, `NPWP_per`, `jumlah_kredit`, `jangka_waktu`, `tujuan_kredit`, `angsuran_perbulan`) VALUES
('PJ026', '32', '3216', 'PMHN20005', '<NAME>', 'Perempuan', '1998-03-31', 'Perum Taman Persada Blok D11 no.15 RT004/009 Deesa Cibarusah Kota', 'Jakarta', '17340', 'Telah diverifikasi, dan dalam pengecekan dokumen', '083805934468', 'D3', '2020-06-14', 'Belum Meni', '-', 0, 'Nurmaisyarah', 'Islam', 'haris muda', 'Saudara Kandung', 'Cibarusah', '085345646454', 'Gaji', 'Karyawan', 'PT BOS SECURITY INDONESIA', 'Cicau Cikarang Selatan', 1, '8.000.000', '-', '-', '75.000.000', 24, 'Investasi', '4.625.000,00'),
('PJ027', '32', '3216', 'PMHN20006', '<NAME>', 'Perempuan', '1998-03-31', 'Perum Taman Persada Blok D11 no 15 RT 004/009 Desa Cibarusah kota', 'Jakarta', '17340', 'Approved', '083805934468', 'D3', '2020-07-07', 'Menikah', 'hanbin kim', 0, 'Nurmaisyarah Lubis', 'Islam', 'Ichwan Mahmud', 'Saudara Kandung', 'Perum Taman Persada Blok D11 no 15 RT 004/009 Desa Cibarusah Kota', '081312345678', 'gaji', 'PNS', 'RADIO REPUBLIK INDONESIA', 'Jl. Merdeka Barat no.45 Jakarta pusat', 2, '10.000.000', '', '', '75000000', 24, 'Konsumtif (Biaya Sekolah)', '4.625.000,00'),
('PJ028', '12', '1275', 'PMHN20006', '<NAME>', 'Perempuan', '1998-03-31', 'Perum Taman Persada Blok D11 no 15 RT 004/009 Desa Cibarusah kota', 'Bekasi', '17340', 'Rejected', '083805934468', 'S1', '2020-07-07', 'Belum Menikah', '-', 0, '<NAME>', 'Islam', 'Ichwan Mahmud', 'Saudara Kandung', 'Perum Firdaus Blok A12 no.05', '08132346123', 'gaji', 'Karyawan', 'RRI PRO 3', 'Jl. Merdeka Barat No.45 Jakarta Pusat', 2, '12.000.000', '08H23B-17D12', '', '100000000', 36, 'Modal Usaha', '4.777.777,78'),
('PJ029', '32', '3271', 'PMHN20006', '<NAME>', 'Perempuan', '1998-03-03', 'Perum Taman Persada Blok D11 no 15 RT 004/009 Desa Cibarusah kota', 'Bekasi', '17340', 'Telah diverifikasi, dan dalam pengecekan dokumen', '083805934468', 'SMA', '2020-07-07', 'Belum Menikah', '-', 0, 'Nurmaisyarah Lubis', 'Islam', 'Haris Muda Nasution', 'Saudara Kandung', 'Jl. Raya Ciracas No.29 Jakarta Timur', '08382656771', 'Gaji', 'Karyawan swasta', 'PT BOS SECURITY INDONESIA', 'Jl. raya Cicau no.29 Cikarang selatan', 5, '9.000.000', 'SH-023MM21KW2', 'N210-31K 001', '50000000', 36, 'Lainnya', '2.388.888,89');
-- --------------------------------------------------------
--
-- Struktur dari tabel `berkas`
--
CREATE TABLE IF NOT EXISTS `berkas` (
`kd_berkas` char(25) NOT NULL,
`id_pemohon` char(25) NOT NULL,
`id_aplikasi` char(25) NOT NULL,
`ktp` varchar(150) NOT NULL,
`kk` varchar(255) NOT NULL,
`pasfoto` varchar(100) NOT NULL,
`npwp` varchar(150) NOT NULL,
`rekening_listrik` varchar(150) NOT NULL,
`struk_gaji` varchar(255) NOT NULL,
`berkas_agunan` varchar(255) NOT NULL,
`jaminan` char(25) NOT NULL,
PRIMARY KEY (`kd_berkas`),
KEY `ktp` (`ktp`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data untuk tabel `berkas`
--
INSERT INTO `berkas` (`kd_berkas`, `id_pemohon`, `id_aplikasi`, `ktp`, `kk`, `pasfoto`, `npwp`, `rekening_listrik`, `struk_gaji`, `berkas_agunan`, `jaminan`) VALUES
('BKS017', 'PMHN20007', '', 'berkas1591881659.jpg', 'berkas15918816591.jpg', 'berkas15918816592.jpg', 'berkas15918816593.jpg', 'berkas15918816594.jpg', 'berkas15918816596.jpg', 'berkas15918816596.jpg', 'Sertifikat HGB/HM'),
('BKS018', 'PMHN20013', '', 'berkas1592206309.jpg', 'berkas15922063091.jpg', 'berkas15922063092.jpg', 'berkas15922063093.jpg', 'berkas15922063094.jpg', 'berkas15922063096.jpg', 'berkas15922063096.jpg', 'BPKB'),
('BKS019', 'PMHN20006', 'PJ027', 'berkas1594131649.jpg', 'berkas15941316491.jpg', 'berkas15941316492.jpg', 'berkas15941316493.jpg', 'berkas15941316494.jpg', 'berkas15941316495.jpg', 'berkas15941316496.jpg', 'BPKB');
-- --------------------------------------------------------
--
-- Struktur dari tabel `buku_tamu`
--
CREATE TABLE IF NOT EXISTS `buku_tamu` (
`no_bukutamu` int(8) NOT NULL AUTO_INCREMENT,
`nama_lengkap` char(35) NOT NULL,
`email` char(35) NOT NULL,
`pesan` text NOT NULL,
PRIMARY KEY (`no_bukutamu`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=2 ;
--
-- Dumping data untuk tabel `buku_tamu`
--
INSERT INTO `buku_tamu` (`no_bukutamu`, `nama_lengkap`, `email`, `pesan`) VALUES
(1, '<NAME>', '<EMAIL>', 'bogosipda~');
-- --------------------------------------------------------
--
-- Struktur dari tabel `kategori`
--
CREATE TABLE IF NOT EXISTS `kategori` (
`id_kategori` int(10) NOT NULL AUTO_INCREMENT,
`kategori` char(25) NOT NULL,
PRIMARY KEY (`id_kategori`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=5 ;
--
-- Dumping data untuk tabel `kategori`
--
INSERT INTO `kategori` (`id_kategori`, `kategori`) VALUES
(1, 'Concox'),
(2, 'Meitrack'),
(3, 'TopFly'),
(4, 'Server');
-- --------------------------------------------------------
--
-- Struktur dari tabel `kredit`
--
CREATE TABLE IF NOT EXISTS `kredit` (
`id_kedit` int(25) NOT NULL AUTO_INCREMENT,
`id_pemohon` char(25) NOT NULL,
`id_aplikasi` char(25) NOT NULL,
`jenis_kredit` char(25) NOT NULL,
`jumlah_kredit` char(25) NOT NULL,
`jangka_waktu` int(8) NOT NULL,
`tujuan_kredit` varchar(50) NOT NULL,
`tgl_pengajuan` date NOT NULL,
`status` char(50) NOT NULL,
PRIMARY KEY (`id_kedit`),
KEY `id_aplikasi` (`id_aplikasi`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=7 ;
--
-- Dumping data untuk tabel `kredit`
--
INSERT INTO `kredit` (`id_kedit`, `id_pemohon`, `id_aplikasi`, `jenis_kredit`, `jumlah_kredit`, `jangka_waktu`, `tujuan_kredit`, `tgl_pengajuan`, `status`) VALUES
(4, 'PMHN20011', '', '', '50.000.000', 24, '2127083f032d0d86d3cb32934', '2020-06-14', 'Sedang dalam tahap survey'),
(5, 'PMHN20005', '', '', '75.000.000', 36, 'a1a7a4cb044196dea2f920f1a5f0118a', '2020-06-14', 'Belum diverifikasi'),
(6, 'PMHN20012', '', '', '35.000.000', 36, 'a1a7a4cb044196dea2f920f1a5f0118a', '2020-06-14', 'Belum diverifikasi');
-- --------------------------------------------------------
--
-- Struktur dari tabel `pemohon`
--
CREATE TABLE IF NOT EXISTS `pemohon` (
`id_pemohon` char(25) NOT NULL,
`id_provinces` char(2) NOT NULL,
`id_regencies` char(4) NOT NULL,
`username` char(15) NOT NULL,
`email` char(35) NOT NULL,
`password` text NOT NULL,
`nama_lengkap` char(35) NOT NULL,
`alamat` text NOT NULL,
`kode_pos` char(10) NOT NULL,
`no_telp` char(15) NOT NULL,
`tgl_daftar` date NOT NULL,
`foto` varchar(100) NOT NULL,
`aktif` char(5) NOT NULL,
PRIMARY KEY (`id_pemohon`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data untuk tabel `pemohon`
--
INSERT INTO `pemohon` (`id_pemohon`, `id_provinces`, `id_regencies`, `username`, `email`, `password`, `nama_lengkap`, `alamat`, `kode_pos`, `no_telp`, `tgl_daftar`, `foto`, `aktif`) VALUES
('PMHN20005', '32', '3216', 'ina03', '<EMAIL>', '<PASSWORD>', '<NAME>', 'Perum Taman Persada Blok D11no 15 RT 004/009 Desa Cibarusah kota Kec.Cibarusah 17340', '17340', '083805934468', '2020-06-08', 'gambar1594125996.jpg', 'YES'),
('PMHN20006', '32', '3216', 'ina', '<EMAIL>', '<PASSWORD>', '<NAME>', 'Perum Taman Persada Blok D11 no 15 RT 004/009 Desa Cibarusah kota', '17340', '083805934468', '2020-07-07', 'gambar1594129658.jpg', 'NO'),
('PMHN20007', '32', '3216', 'evita', '<EMAIL>', 'c5c1a9443bfb2279643a2f8c0416fb0e', 'evita vilianti', 'perum KSB ', '17341', '0897878767667', '2020-08-03', '', 'NO');
-- --------------------------------------------------------
--
-- Struktur dari tabel `pesan`
--
CREATE TABLE IF NOT EXISTS `pesan` (
`id_pesan` int(8) NOT NULL AUTO_INCREMENT,
`id_admin` char(25) NOT NULL,
`id_pemohon` char(25) NOT NULL,
`email` char(35) NOT NULL,
`subjek` varchar(75) NOT NULL,
`tgl_kirim` date NOT NULL,
`status_kirim` char(25) NOT NULL,
PRIMARY KEY (`id_pesan`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=15 ;
--
-- Dumping data untuk tabel `pesan`
--
INSERT INTO `pesan` (`id_pesan`, `id_admin`, `id_pemohon`, `email`, `subjek`, `tgl_kirim`, `status_kirim`) VALUES
(1, '3', '', '<EMAIL>', 'Pengajuan anda telah disetujui\r\nMohon Untuk Datang kekantor kami dengan mem', '2020-06-14', 'Telah Dikirim'),
(2, '3', '', '<EMAIL>', 'Pengajuan anda telah disetujui\r\nMohon Untuk Datang kekantor kami dengan mem', '2020-06-14', 'Telah Dikirim'),
(3, '3', '', '<EMAIL>', 'Pengajuan anda telah disetujui\r\nMohon Untuk Datang kekantor kami dengan mem', '2020-06-14', 'Telah Dikirim'),
(4, '3', '', '<EMAIL>', 'telah disetujui.\r\nsilahkan datang ke kantor BPR WMJ Cabang Cibarusah pada :', '2020-06-14', 'Telah Dikirim'),
(14, 'ADM007', 'PMHN20006', '<EMAIL>', 'oke sipp', '2020-07-10', 'Telah Dikirim');
-- --------------------------------------------------------
--
-- Struktur dari tabel `produk`
--
CREATE TABLE IF NOT EXISTS `produk` (
`id_produk` int(10) NOT NULL AUTO_INCREMENT,
`id_kategori` int(25) NOT NULL,
`judul` char(50) NOT NULL,
`harga` int(25) NOT NULL,
`stok` int(25) NOT NULL,
`isi` text NOT NULL,
`gambar` text NOT NULL,
`tanggal` int(30) NOT NULL,
PRIMARY KEY (`id_produk`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=17 ;
--
-- Dumping data untuk tabel `produk`
--
INSERT INTO `produk` (`id_produk`, `id_kategori`, `judul`, `harga`, `stok`, `isi`, `gambar`, `tanggal`) VALUES
(1, 1, 'TR06', 900000, 10, '<p>\r\n <span style="color: rgb(102, 102, 102); font-family: ''Open Sans'', sans-serif; font-size: 13px; line-height: 20px;">Gps Tracker TR06 versi terbaru ini merupakan keluaran terbaru dari Concox yang menyempurnakan produk TR06 dengan versi sebelumnya. Versi terbarunya memiliki fitur tambahan yaitu bisa mengecek Pulsa melalui SMS.</span></p>\r\n', '1a2f650294374bc30612e8e9c1ec7860.jpg,4d9f095821175dc39b1684805d9e33b5.jpg,bb7ea7a9781d1d8caf8b690dfb7f0b97.jpg,c983ba267c87e2af011537654d9d28b4.jpg,c983ba267c87e2af011537654d9d28b4.jpg', 1461251423),
(2, 1, 'TR02', 800000, 10, '<p style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px; border: 0px; font-stretch: inherit; line-height: 20px; font-family: ''Open Sans'', sans-serif; font-size: 13px; color: rgb(102, 102, 102);">\r\n Anda memerlukan gps tracker handal dengan harga terjangkau? bisa di monitor lewat website atau dengan sms dari Gadget/Ponsel Anda. Yang lebih pentingnya lagi yaitu cara pemasangan pun cukup mudah sekali.<br style="box-sizing: border-box; outline: none;" />\r\n GPS Tracker TR02 hadir melindungi kendaraan Anda khususnya para pemilik sepeda motor / mobil yang khawatir kendaraannya dicuri ataupun dirampok. Dengan Web monitoring www.gps-trace.com</p>\r\n<p style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px; border: 0px; font-stretch: inherit; line-height: 20px; font-family: ''Open Sans'', sans-serif; font-size: 13px; color: rgb(102, 102, 102);">\r\n GPS Tracker yang telah didesain untuk sepeda motor Anda. Dengan Tegangan Daya yang rendah dan ukuran lebih kecil, memungkinkan Anda memasang GPS Tracker ini pada Sepeda Motor Anda.</p>\r\n', '3da9186bbebfecf4f32c791965fc3952.jpg,a17da73129d77738a64ee7aa8fa469c3.jpg,a91f9091a5b84d58f46188a28a016846.jpg,e40f5d259dd729608c6b240f872e39da.jpg,e40f5d259dd729608c6b240f872e39da.jpg', 1461336776),
(3, 1, 'GT02D', 500000, 101, '<p style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px; border: 0px; font-stretch: inherit; line-height: 20px; font-family: ''Open Sans'', sans-serif; font-size: 13px; color: rgb(102, 102, 102);">\r\n Dapatkan GPS Tracker untuk sepeda motor, dengan teknologi Super Saving Power bisa menghemat aki motor Anda sehingga tidak ada lagi gejala aki habis dan motor tidak bisa di starter. <br style="box-sizing: border-box; outline: none;" />\r\n Dengan fitur Terbaru Super saving Power arus yg dipakai hanya 1 - 2 mA jauh lebih hemat dibanding GPS Tracker tipe lain dan mulai sekarang aki motor Anda tidak akan kehabisan lagi. <br style="box-sizing: border-box; outline: none;" />\r\n GPS Pelacak Kendaraan GT02D, Kami berperan dalam menyediakan GPS kepada pelanggan setia kami dengan kualitas yang sangat baik.</p>\r\n<p style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px; border: 0px; font-stretch: inherit; line-height: 20px; font-family: ''Open Sans'', sans-serif; font-size: 13px; color: rgb(102, 102, 102);">\r\n Untuk mobil dengan kaca film V-Cool disarankan menggunakan GPS Tracker GT02D karena sinyalnya lebih kuat dan menggunakan Antena + Chipset Khusus.</p>\r\n<p style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px; border: 0px; font-stretch: inherit; line-height: 20px; font-family: ''Open Sans'', sans-serif; font-size: 13px; color: rgb(102, 102, 102);">\r\n GPS Tracker yang telah didesain untuk sepeda motor Anda. Dengan Tegangan Daya yang rendah dan ukuran lebih kecil, memungkinkan Anda memasang GPS Tracker ini pada Sepeda Motor Anda.</p>\r\n<p style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px; border: 0px; font-stretch: inherit; line-height: 20px; font-family: ''Open Sans'', sans-serif; font-size: 13px; color: rgb(102, 102, 102);">\r\n NB: Hasil Test dengan tegangan 12 Volt, arus listrik yang dipakai pada Mode Power Saving adalah 1 Miliampere.</p>\r\n', '1dd11680978d96b9769c795322714a82.jpg,93b599ce4bb1f14ac17ee5b13853335a.jpg,f5b61d4c32f2c39c14bcadf5bbb65bb8.jpg,f5b61d4c32f2c39c14bcadf5bbb65bb8.jpg,f5b61d4c32f2c39c14bcadf5bbb65bb8.jpg', 1462744244),
(4, 2, 'MVT800', 1600000, 20, '<p style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px; border: 0px; font-stretch: inherit; line-height: 20px; font-family: ''Open Sans'', sans-serif; font-size: 13px; color: rgb(102, 102, 102);">\r\n Bosan dengan GPS Tracker biasa yang ngaku Canggih??? Kita siapkan!!!<br style="box-sizing: border-box; outline: none;" />\r\n GPS Tracker Canggih dengan fasilitas Super Lengkap!!!</p>\r\n<p style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px; border: 0px; font-stretch: inherit; line-height: 20px; font-family: ''Open Sans'', sans-serif; font-size: 13px; color: rgb(102, 102, 102);">\r\n MVT800 adalah salah satu pelacak GPS terbaru yang telah ditambahkan ke merek Meitrack. MVT800 dapat digambarkan sebagai kaliber tinggi GPS tracker, banyak fitur dan aksesoris yang menawarkan. MVT800 sangat sempurna untuk pelacakan armada karena kemampuannya untuk memantau konsumsi bahan bakar dan suhu jika diperlukan. <br style="box-sizing: border-box; outline: none;" />\r\n <br style="box-sizing: border-box; outline: none;" />\r\n Melacak kendaraan secara real time, juga memantau apa yang terjadi di dalam kabin dengan fitur listen-in, memiliki fitur percakapan dua arah dengan menambahkan aksesoris speaker dan mikrofon. MVT800, GPS pelacak kendaraan dengan salah satu yang terbaik pelacak yang tahan air untuk kendaraan, mobil ataupun alat berat di pasar saat ini.</p>\r\n<p style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px; border: 0px; font-stretch: inherit; line-height: 20px; font-family: ''Open Sans'', sans-serif; font-size: 13px; color: rgb(102, 102, 102);">\r\n MVT800 adalah merek baru GPS tracker yang mendukung dua protokol Meitrack dan Meiligao protokol. Mendukung anti-pencurian mobil pribadi dan mobil dinas.</p>\r\n', '1279c5d7822a2d977e4abacd9131b7e3.jpg,e3cc0db9e49db1bda299f19a8550e8c3.jpg,0d661b1d9a4a9d901198e19e7ab4a931.jpg,97ef640a0e1b2df219d253ec1430772b.jpg,97ef640a0e1b2df219d253ec1430772b.jpg', 1462746169),
(5, 2, 'MVT600', 1500000, 20, '<p style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px; border: 0px; font-stretch: inherit; line-height: 20px; font-family: ''Open Sans'', sans-serif; font-size: 13px; color: rgb(102, 102, 102);">\r\n Sebuah kendaraan GPS tracker benar-benar unik, yang MVT600 memiliki banyak fungsi dan fitur. The MVT600 dapat memungkinkan seseorang untuk memantau interior kendaraan dengan melampirkan kamera opsional. Kamera ini dapat mengambil snapshot ketika peristiwa tertentu terjadi seperti, mobil mulai bergerak, membuka atau menutup pintu. Jenis lain dari aksesoris dapat ditambahkan seperti sensor bahan bakar, dan bahkan pembaca RFID.</p>\r\n<p style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px; border: 0px; font-stretch: inherit; line-height: 20px; font-family: ''Open Sans'', sans-serif; font-size: 13px; color: rgb(102, 102, 102);">\r\n sensor suhu sangat penting jika kendaraan memiliki unit pendingin yang perlu dipantau, sensor dapat mengirim peringatan jika suhu tiba-tiba berfluktuasi. RFID memungkinkan untuk kendaraan yang akan dioperasikan oleh individu terpilih yang membawa kartu RFID, ini merupakan salah satu ukuran keamanan yang lebih untuk memiliki kendaraan yang hanya harus dioperasikan oleh personil yang dipilih.</p>\r\n', '49c41eff3101cb6e879e7006a5e3aaf6.jpg,2d1516d8544b8f578e32c30dae845cd6.jpg,f81eb87a5e7ff44101d705fd90b4bf38.jpg,d5557d3527ada33eb9628b8249a4e7a2.jpg,d5557d3527ada33eb9628b8249a4e7a2.jpg', 1462746398),
(6, 2, 'MVT380', 1100000, 20, '<p>\r\n <span style="color: rgb(102, 102, 102); font-family: ''Open Sans'', sans-serif; font-size: 13px; line-height: 20px;">GPS Tracker MVT 380 adalah alat pelacak GPS / GSM / GPRS yang khusus dirancang untuk mengetahui posisi kendaraan secara langsung.Dapat berguna untuk fungsi pengawasan dan pengamanan, serta menghindari dari pencurian kendaraan.</span></p>\r\n', '89ff01176d1dd758c55521a53f268bf9.jpg,b76227033f12fa722f150a6187329837.jpg,37f51beceeb10a3183f17225f7380d9d.jpg,8387558d20e44ec25dd93a5d8eab6801.jpg,8387558d20e44ec25dd93a5d8eab6801.jpg', 1462746523),
(8, 3, 'T8803', 600000, 10, '<p>\r\n <span style="color: rgb(102, 102, 102); font-family: ''Open Sans'', sans-serif; font-size: 13px; line-height: 20px;">GPS TRACKER T8803 INI mempunyai tingkat kestabilan tinggi dari GPS dan GSM Module. Keakuratan perangkat dapat tercapai antara 5-10 meter dan tahan terhadap air.</span></p>\r\n', '6af593ed84c160bd407d58624205fafa.jpg,31d4c87f6821234ff0e610ad5082d5a2.jpg,31d4c87f6821234ff0e610ad5082d5a2.jpg,31d4c87f6821234ff0e610ad5082d5a2.jpg,31d4c87f6821234ff0e610ad5082d5a2.jpg', 1462746634),
(10, 1, 'GPS Tracker GT06N', 800000, 10, '<p>\r\n <span style="color: rgb(102, 102, 102); font-family: ''Open Sans'', sans-serif; font-size: 13px; line-height: 20px;">Gps Tracker GT06N versi terbaru ini merupakan keluaran terbaru dari Concox yang menyempurnakan produk GT06N dengan versi sebelumnya. Versi terbarunya memiliki fitur tambahan yaitu bisa mengecek Pulsa melalui SMS.</span></p>\r\n', '5725a7967b94a662c25538bef15b9c29.jpg,9041de7f9f92eb7b4af94777f86d01b3.jpg,bf1d73b2d2d68a78c5d62962fdc3ca70.jpg,1d571a4b72b3427b988b3b5766c4ec4c.jpg,1d571a4b72b3427b988b3b5766c4ec4c.jpg', 1462747128),
(11, 1, 'GPS Tracker ET200', 500000, 10, '<p style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px; border: 0px; font-stretch: inherit; line-height: 20px; font-family: ''Open Sans'', sans-serif; font-size: 13px; color: rgb(102, 102, 102);">\r\n GPS Tracker handal dengan harga yang terjangkau. Bisa di monitor lewat website(server) atau dengan sms dari gadget/ponsel Anda. Cara pemasangan pun cukup mudah sekali. Karena ukurannya yang kecil dan ringan, ET200 mudah untuk disembunyikan dan mudah untuk dipasang.</p>\r\n<p style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px; border: 0px; font-stretch: inherit; line-height: 20px; font-family: ''Open Sans'', sans-serif; font-size: 13px; color: rgb(102, 102, 102);">\r\n Tegangan lebih rendah dari GPS lain (Posisi standby ET200 0,3 Ampere).<br style="box-sizing: border-box; outline: none;" />\r\n Cocok untuk Anda khususnya para pemilik sepeda motor.</p>\r\n<p style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px; border: 0px; font-stretch: inherit; line-height: 20px; font-family: ''Open Sans'', sans-serif; font-size: 13px; color: rgb(102, 102, 102);">\r\n <span style="font-size:14px;"><strong>Fitur ET200 :</strong></span><br style="box-sizing: border-box; outline: none;" />\r\n - Cek posisi via sms dan webtracking<br style="box-sizing: border-box; outline: none;" />\r\n - Mematikan dan menghidupkan mesin<br style="box-sizing: border-box; outline: none;" />\r\n - Laporan mesin mati/hidup (sms dan Web)<br style="box-sizing: border-box; outline: none;" />\r\n - Laporan SOS bila alat di sabotase<br style="box-sizing: border-box; outline: none;" />\r\n - Riwayat perjalanan 30hari<br style="box-sizing: border-box; outline: none;" />\r\n - Lihat kecepatan<br style="box-sizing: border-box; outline: none;" />\r\n - Pembatasan kecepatan (speed limit)<br style="box-sizing: border-box; outline: none;" />\r\n - Pembatasan area (geofence)<br style="box-sizing: border-box; outline: none;" />\r\n - Cek pulsa<br style="box-sizing: border-box; outline: none;" />\r\n - Backup Baterai<br style="box-sizing: border-box; outline: none;" />\r\n - Free Server (gps-trace)<br style="box-sizing: border-box; outline: none;" />\r\n - Water resistance (Tahan cipratan air dan debu).</p>\r\n', '28b3736c53b7e1903e58fdb11940ed1f.jpg,5b8b1b62b06f281bd1fd676922bff976.jpg,5b8b1b62b06f281bd1fd676922bff976.jpg,5b8b1b62b06f281bd1fd676922bff976.jpg,5b8b1b62b06f281bd1fd676922bff976.jpg', 1462747242),
(12, 2, 'VT300', 1100000, 101, '<p style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px; border: 0px; font-stretch: inherit; line-height: 20px; font-family: ''Open Sans'', sans-serif; font-size: 13px; color: rgb(102, 102, 102);">\r\n GPS Tracker / GPS Tracking VT 300 adalah alat pelacak GPS / GSM / GPRS yang khusus dirancang untuk mengetahui posisi kendaraan secara langsung. Biasanya berguna untuk fungsi pengawasan dan pengamanan, serta menghindari dari pencurian kendaraan.</p>\r\n<p style="box-sizing: border-box; outline: none; margin: 0px 0px 15px; padding: 0px; border: 0px; font-stretch: inherit; line-height: 20px; font-family: ''Open Sans'', sans-serif; font-size: 13px; color: rgb(102, 102, 102);">\r\n Dengan modul GPS dan GPRS kualitas terbaik, GPS Tracker / GPS Tracking VT 300 memiliki kepekaan signal satelit yang sangat baik dan performa stabil. Akurasi yang sangat tepat bahkan di tempat-tempat terpencil.</p>\r\n', 'a14e6178de25ab8110bb7a48ef8365b8.jpg,a14e6178de25ab8110bb7a48ef8365b8.jpg,a14e6178de25ab8110bb7a48ef8365b8.jpg,a14e6178de25ab8110bb7a48ef8365b8.jpg,a14e6178de25ab8110bb7a48ef8365b8.jpg', 1462746556),
(13, 4, 'Cootrack', 0, 0, 'Info lebih lanjut, silahkan hubungi Kami.', 'cootrack1.jpg,cootrack2.jpg,cootrack3.jpg,cootrack4.jpg,', 1462746556),
(14, 4, 'ID-GPSTracker', 0, 0, 'Info lebih lanjut, silahkan hubungi Kami.', 'idgps.jpg,idgps1.jpg,idgps.jpg2,idgps3.jpg,', 1462746556),
(15, 4, 'TRAX.CENTER', 0, 0, 'TRAX Center, server lokal dengan banyak fitur. Seperti; Realtime Update, Push Notification, dan Mail Notification & Remote Cut Off.\r\nDi situs resminya, Anda juga disuguhkan User Interface yang cukup menarik. Adanya video ilustrasi, contoh penggunaan dan bahkan cara pemasangan GPS Tracker memungkin bagi kaum awam mudah memahaminya.\r\n', 'trax.jpg,trax (1).jpg,,,', 0),
(16, 4, 'track.powertrack.co.id', 0, 0, 'POWERTrack, memungkinkan untuk mengakses fitur pengaturan dan pelacakan yang paling umum, memonitor posisi objek di peta, mendapatkan informasi rinci seperti; kecepatan, koordinat, alamat, riwayat pergerakan dan banyak lagi', 'power.jpg,,,,', 0);
-- --------------------------------------------------------
--
-- Struktur dari tabel `provinces`
--
CREATE TABLE IF NOT EXISTS `provinces` (
`id` char(2) COLLATE utf8_unicode_ci NOT NULL,
`name` varchar(25) COLLATE utf8_unicode_ci NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dumping data untuk tabel `provinces`
--
INSERT INTO `provinces` (`id`, `name`) VALUES
('11', 'ACEH\r'),
('12', 'SUMATERA UTARA\r'),
('13', 'SUMATERA BARAT\r'),
('14', 'RIAU\r'),
('15', 'JAMBI\r'),
('16', 'SUMATERA SELATAN\r'),
('17', 'BENGKULU\r'),
('18', 'LAMPUNG\r'),
('19', 'KEPULAUAN BANGKA BELITUNG'),
('21', 'KEPULAUAN RIAU\r'),
('31', 'DKI JAKARTA\r'),
('32', 'JAWA BARAT\r'),
('33', 'JAWA TENGAH\r'),
('34', 'DI YOGYAKARTA\r'),
('35', 'JAWA TIMUR\r'),
('36', 'BANTEN\r'),
('51', 'BALI\r'),
('52', 'NUSA TENGGARA BARAT\r'),
('53', 'NUSA TENGGARA TIMUR\r'),
('61', 'KALIMANTAN BARAT\r'),
('62', 'KALIMANTAN TENGAH\r'),
('63', 'KALIMANTAN SELATAN\r'),
('64', 'KALIMANTAN TIMUR\r'),
('65', 'KALIMANTAN UTARA\r'),
('71', 'SULAWESI UTARA\r'),
('72', 'SULAWESI TENGAH\r'),
('73', 'SULAWESI SELATAN\r'),
('74', 'SULAWESI TENGGARA\r'),
('75', 'GORONTALO\r'),
('76', 'SULAWESI BARAT\r'),
('81', 'MALUKU\r'),
('82', 'MALUKU UTARA\r'),
('91', 'PAPUA BARAT\r'),
('94', 'PAPUA\r');
-- --------------------------------------------------------
--
-- Struktur dari tabel `regencies`
--
CREATE TABLE IF NOT EXISTS `regencies` (
`id` char(4) COLLATE utf8_unicode_ci NOT NULL,
`province_id` char(2) COLLATE utf8_unicode_ci NOT NULL,
`name` varchar(25) COLLATE utf8_unicode_ci NOT NULL,
PRIMARY KEY (`id`),
KEY `regencies_province_id_index` (`province_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci;
--
-- Dumping data untuk tabel `regencies`
--
INSERT INTO `regencies` (`id`, `province_id`, `name`) VALUES
('1101', '11', 'KABUPATEN SIMEULUE\r'),
('1102', '11', 'KABUPATEN ACEH SINGKIL\r'),
('1103', '11', 'KABUPATEN ACEH SELATAN\r'),
('1104', '11', 'KABUPATEN ACEH TENGGARA\r'),
('1105', '11', 'KABUPATEN ACEH TIMUR\r'),
('1106', '11', 'KABUPATEN ACEH TENGAH\r'),
('1107', '11', 'KABUPATEN ACEH BARAT\r'),
('1108', '11', 'KABUPATEN ACEH BESAR\r'),
('1109', '11', 'KABUPATEN PIDIE\r'),
('1110', '11', 'KABUPATEN BIREUEN\r'),
('1111', '11', 'KABUPATEN ACEH UTARA\r'),
('1112', '11', 'KABUPATEN ACEH BARAT DAYA'),
('1113', '11', 'KABUPATEN GAYO LUES\r'),
('1114', '11', 'KABUPATEN ACEH TAMIANG\r'),
('1115', '11', 'KABUPATEN NAGAN RAYA\r'),
('1116', '11', 'KABUPATEN ACEH JAYA\r'),
('1117', '11', 'KABUPATEN BENER MERIAH\r'),
('1118', '11', 'KABUPATEN PIDIE JAYA\r'),
('1171', '11', 'KOTA BANDA ACEH\r'),
('1172', '11', 'KOTA SABANG\r'),
('1173', '11', 'KOTA LANGSA\r'),
('1174', '11', 'KOTA LHOKSEUMAWE\r'),
('1175', '11', 'KOTA SUBULUSSALAM\r'),
('1201', '12', 'KABUPATEN NIAS\r'),
('1202', '12', 'KABUPATEN MANDAILING NATA'),
('1203', '12', 'KABUPATEN TAPANULI SELATA'),
('1204', '12', 'KABUPATEN TAPANULI TENGAH'),
('1205', '12', 'KABUPATEN TAPANULI UTARA\r'),
('1206', '12', 'KABUPATEN TOBA SAMOSIR\r'),
('1207', '12', 'KABUPATEN LABUHAN BATU\r'),
('1208', '12', 'KABUPATEN ASAHAN\r'),
('1209', '12', 'KABUPATEN SIMALUNGUN\r'),
('1210', '12', 'KABUPATEN DAIRI\r'),
('1211', '12', 'KABUPATEN KARO\r'),
('1212', '12', 'KABUPATEN DELI SERDANG\r'),
('1213', '12', 'KABUPATEN LANGKAT\r'),
('1214', '12', 'KABUPATEN NIAS SELATAN\r'),
('1215', '12', 'KABUPATEN HUMBANG HASUNDU'),
('1216', '12', 'KABUPATEN PAKPAK BHARAT\r'),
('1217', '12', 'KABUPATEN SAMOSIR\r'),
('1218', '12', 'KABUPATEN SERDANG BEDAGAI'),
('1219', '12', 'KABUPATEN BATU BARA\r'),
('1220', '12', 'KABUPATEN PADANG LAWAS UT'),
('1221', '12', 'KABUPATEN PADANG LAWAS\r'),
('1222', '12', 'KABUPATEN LABUHAN BATU SE'),
('1223', '12', 'KABUPATEN LABUHAN BATU UT'),
('1224', '12', 'KABUPATEN NIAS UTARA\r'),
('1225', '12', 'KABUPATEN NIAS BARAT\r'),
('1271', '12', 'KOTA SIBOLGA\r'),
('1272', '12', 'KOTA TANJUNG BALAI\r'),
('1273', '12', 'KOTA PEMATANG SIANTAR\r'),
('1274', '12', 'KOTA TEBING TINGGI\r'),
('1275', '12', 'KOTA MEDAN\r'),
('1276', '12', 'KOTA BINJAI\r'),
('1277', '12', 'KOTA PADANGSIDIMPUAN\r'),
('1278', '12', 'KOTA GUNUNGSITOLI\r'),
('1301', '13', 'KABUPATEN KEPULAUAN MENTA'),
('1302', '13', 'KABUPATEN PESISIR SELATAN'),
('1303', '13', 'KABUPATEN SOLOK\r'),
('1304', '13', 'KABUPATEN SIJUNJUNG\r'),
('1305', '13', 'KABUPATEN TANAH DATAR\r'),
('1306', '13', 'KABUPATEN PADANG PARIAMAN'),
('1307', '13', 'KABUPATEN AGAM\r'),
('1308', '13', 'KABUPATEN LIMA PULUH KOTA'),
('1309', '13', 'KABUPATEN PASAMAN\r'),
('1310', '13', 'KABUPATEN SOLOK SELATAN\r'),
('1311', '13', 'KABUPATEN DHARMASRAYA\r'),
('1312', '13', 'KABUPATEN PASAMAN BARAT\r'),
('1371', '13', 'KOTA PADANG\r'),
('1372', '13', 'KOTA SOLOK\r'),
('1373', '13', 'KOTA SAWAH LUNTO\r'),
('1374', '13', 'KOTA PADANG PANJANG\r'),
('1375', '13', 'KOTA BUKITTINGGI\r'),
('1376', '13', 'KOTA PAYAKUMBUH\r'),
('1377', '13', 'KOTA PARIAMAN\r'),
('1401', '14', 'KABUPATEN KUANTAN SINGING'),
('1402', '14', 'KABUPATEN INDRAGIRI HULU\r'),
('1403', '14', 'KABUPATEN INDRAGIRI HILIR'),
('1404', '14', 'KABUPATEN PELALAWAN\r'),
('1405', '14', 'KABUPATEN S I A K\r'),
('1406', '14', 'KABUPATEN KAMPAR\r'),
('1407', '14', 'KABUPATEN ROKAN HULU\r'),
('1408', '14', 'KABUPATEN BENGKALIS\r'),
('1409', '14', 'KABUPATEN ROKAN HILIR\r'),
('1410', '14', 'KABUPATEN KEPULAUAN MERAN'),
('1471', '14', 'KOTA PEKANBARU\r'),
('1473', '14', 'KOTA D U M A I\r'),
('1501', '15', 'KABUPATEN KERINCI\r'),
('1502', '15', 'KABUPATEN MERANGIN\r'),
('1503', '15', 'KABUPATEN SAROLANGUN\r'),
('1504', '15', 'KABUPATEN BATANG HARI\r'),
('1505', '15', 'KABUPATEN MUARO JAMBI\r'),
('1506', '15', 'KABUPATEN TANJUNG JABUNG '),
('1507', '15', 'KABUPATEN TANJUNG JABUNG '),
('1508', '15', 'KABUPATEN TEBO\r'),
('1509', '15', 'KABUPATEN BUNGO\r'),
('1571', '15', 'KOTA JAMBI\r'),
('1572', '15', 'KOTA SUNGAI PENUH\r'),
('1601', '16', 'KABUPATEN OGAN KOMERING U'),
('1602', '16', 'KABUPATEN OGAN KOMERING I'),
('1603', '16', 'KABUPATEN MUARA ENIM\r'),
('1604', '16', 'KABUPATEN LAHAT\r'),
('1605', '16', 'KABUPATEN MUSI RAWAS\r'),
('1606', '16', 'KABUPATEN MUSI BANYUASIN\r'),
('1607', '16', 'KABUPATEN BANYU ASIN\r'),
('1608', '16', 'KABUPATEN OGAN KOMERING U'),
('1609', '16', 'KABUPATEN OGAN KOMERING U'),
('1610', '16', 'KABUPATEN OGAN ILIR\r'),
('1611', '16', 'KABUPATEN EMPAT LAWANG\r'),
('1612', '16', 'KABUPATEN PENUKAL ABAB LE'),
('1613', '16', 'KABUPATEN MUSI RAWAS UTAR'),
('1671', '16', 'KOTA PALEMBANG\r'),
('1672', '16', 'KOTA PRABUMULIH\r'),
('1673', '16', 'KOTA PAGAR ALAM\r'),
('1674', '16', 'KOTA LUBUKLINGGAU\r'),
('1701', '17', 'KABUPATEN BENGKULU SELATA'),
('1702', '17', 'KABUPATEN REJANG LEBONG\r'),
('1703', '17', 'KABUPATEN BENGKULU UTARA\r'),
('1704', '17', 'KABUPATEN KAUR\r'),
('1705', '17', 'KABUPATEN SELUMA\r'),
('1706', '17', 'KABUPATEN MUKOMUKO\r'),
('1707', '17', 'KABUPATEN LEBONG\r'),
('1708', '17', 'KABUPATEN KEPAHIANG\r'),
('1709', '17', 'KABUPATEN BENGKULU TENGAH'),
('1771', '17', 'KOTA BENGKULU\r'),
('1801', '18', 'KABUPATEN LAMPUNG BARAT\r'),
('1802', '18', 'KABUPATEN TANGGAMUS\r'),
('1803', '18', 'KABUPATEN LAMPUNG SELATAN'),
('1804', '18', 'KABUPATEN LAMPUNG TIMUR\r'),
('1805', '18', 'KABUPATEN LAMPUNG TENGAH\r'),
('1806', '18', 'KABUPATEN LAMPUNG UTARA\r'),
('1807', '18', 'KABUPATEN WAY KANAN\r'),
('1808', '18', 'KABUPATEN TULANGBAWANG\r'),
('1809', '18', 'KABUPATEN PESAWARAN\r'),
('1810', '18', 'KABUPATEN PRINGSEWU\r'),
('1811', '18', 'KABUPATEN MESUJI\r'),
('1812', '18', 'KABUPATEN TULANG BAWANG B'),
('1813', '18', 'KABUPATEN PESISIR BARAT\r'),
('1871', '18', 'KOTA BANDAR LAMPUNG\r'),
('1872', '18', 'KOTA METRO\r'),
('1901', '19', 'KABUPATEN BANGKA\r'),
('1902', '19', 'KABUPATEN BELITUNG\r'),
('1903', '19', 'KABUPATEN BANGKA BARAT\r'),
('1904', '19', 'KABUPATEN BANGKA TENGAH\r'),
('1905', '19', 'KABUPATEN BANGKA SELATAN\r'),
('1906', '19', 'KABUPATEN BELITUNG TIMUR\r'),
('1971', '19', 'KOTA PANGKAL PINANG\r'),
('2101', '21', 'KABUPATEN KARIMUN\r'),
('2102', '21', 'KABUPATEN BINTAN\r'),
('2103', '21', 'KABUPATEN NATUNA\r'),
('2104', '21', 'KABUPATEN LINGGA\r'),
('2105', '21', 'KABUPATEN KEPULAUAN ANAMB'),
('2171', '21', 'KOTA B A T A M\r'),
('2172', '21', 'KOTA TANJUNG PINANG\r'),
('3101', '31', 'KABUPATEN KEPULAUAN SERIB'),
('3171', '31', 'KOTA JAKARTA SELATAN\r'),
('3172', '31', 'KOTA JAKARTA TIMUR\r'),
('3173', '31', 'KOTA JAKARTA PUSAT\r'),
('3174', '31', 'KOTA JAKARTA BARAT\r'),
('3175', '31', 'KOTA JAKARTA UTARA\r'),
('3201', '32', 'KABUPATEN BOGOR\r'),
('3202', '32', 'KABUPATEN SUKABUMI\r'),
('3203', '32', 'KABUPATEN CIANJUR\r'),
('3204', '32', 'KABUPATEN BANDUNG\r'),
('3205', '32', 'KABUPATEN GARUT\r'),
('3206', '32', 'KABUPATEN TASIKMALAYA\r'),
('3207', '32', 'KABUPATEN CIAMIS\r'),
('3208', '32', 'KABUPATEN KUNINGAN\r'),
('3209', '32', 'KABUPATEN CIREBON\r'),
('3210', '32', 'KABUPATEN MAJALENGKA\r'),
('3211', '32', 'KABUPATEN SUMEDANG\r'),
('3212', '32', 'KABUPATEN INDRAMAYU\r'),
('3213', '32', 'KABUPATEN SUBANG\r'),
('3214', '32', 'KABUPATEN PURWAKARTA\r'),
('3215', '32', 'KABUPATEN KARAWANG\r'),
('3216', '32', 'KABUPATEN BEKASI\r'),
('3217', '32', 'KABUPATEN BANDUNG BARAT\r'),
('3218', '32', 'KABUPATEN PANGANDARAN\r'),
('3271', '32', 'KOTA BOGOR\r'),
('3272', '32', 'KOTA SUKABUMI\r'),
('3273', '32', 'KOTA BANDUNG\r'),
('3274', '32', 'KOTA CIREBON\r'),
('3275', '32', 'KOTA BEKASI\r'),
('3276', '32', 'KOTA DEPOK\r'),
('3277', '32', 'KOTA CIMAHI\r'),
('3278', '32', 'KOTA TASIKMALAYA\r'),
('3279', '32', 'KOTA BANJAR\r'),
('3301', '33', 'KABUPATEN CILACAP\r'),
('3302', '33', 'KABUPATEN BANYUMAS\r'),
('3303', '33', 'KABUPATEN PURBALINGGA\r'),
('3304', '33', 'KABUPATEN BANJARNEGARA\r'),
('3305', '33', 'KABUPATEN KEBUMEN\r'),
('3306', '33', 'KABUPATEN PURWOREJO\r'),
('3307', '33', 'KABUPATEN WONOSOBO\r'),
('3308', '33', 'KABUPATEN MAGELANG\r'),
('3309', '33', 'KABUPATEN BOYOLALI\r'),
('3310', '33', 'KABUPATEN KLATEN\r'),
('3311', '33', 'KABUPATEN SUKOHARJO\r'),
('3312', '33', 'KABUPATEN WONOGIRI\r'),
('3313', '33', 'KABUPATEN KARANGANYAR\r'),
('3314', '33', 'KABUPATEN SRAGEN\r'),
('3315', '33', 'KABUPATEN GROBOGAN\r'),
('3316', '33', 'KABUPATEN BLORA\r'),
('3317', '33', 'KABUPATEN REMBANG\r'),
('3318', '33', 'KABUPATEN PATI\r'),
('3319', '33', 'KABUPATEN KUDUS\r'),
('3320', '33', 'KABUPATEN JEPARA\r'),
('3321', '33', 'KABUPATEN DEMAK\r'),
('3322', '33', 'KABUPATEN SEMARANG\r'),
('3323', '33', 'KABUPATEN TEMANGGUNG\r'),
('3324', '33', 'KABUPATEN KENDAL\r'),
('3325', '33', 'KABUPATEN BATANG\r'),
('3326', '33', 'KABUPATEN PEKALONGAN\r'),
('3327', '33', 'KABUPATEN PEMALANG\r'),
('3328', '33', 'KABUPATEN TEGAL\r'),
('3329', '33', 'KABUPATEN BREBES\r'),
('3371', '33', 'KOTA MAGELANG\r'),
('3372', '33', 'KOTA SURAKARTA\r'),
('3373', '33', 'KOTA SALATIGA\r'),
('3374', '33', 'KOTA SEMARANG\r'),
('3375', '33', 'KOTA PEKALONGAN\r'),
('3376', '33', 'KOTA TEGAL\r'),
('3401', '34', 'KABUPATEN KULON PROGO\r'),
('3402', '34', 'KABUPATEN BANTUL\r'),
('3403', '34', 'KABUPATEN GUNUNG KIDUL\r'),
('3404', '34', 'KABUPATEN SLEMAN\r'),
('3471', '34', 'KOTA YOGYAKARTA\r'),
('3501', '35', 'KABUPATEN PACITAN\r'),
('3502', '35', 'KABUPATEN PONOROGO\r'),
('3503', '35', 'KABUPATEN TRENGGALEK\r'),
('3504', '35', 'KABUPATEN TULUNGAGUNG\r'),
('3505', '35', 'KABUPATEN BLITAR\r'),
('3506', '35', 'KABUPATEN KEDIRI\r'),
('3507', '35', 'KABUPATEN MALANG\r'),
('3508', '35', 'KABUPATEN LUMAJANG\r'),
('3509', '35', 'KABUPATEN JEMBER\r'),
('3510', '35', 'KABUPATEN BANYUWANGI\r'),
('3511', '35', 'KABUPATEN BONDOWOSO\r'),
('3512', '35', 'KABUPATEN SITUBONDO\r'),
('3513', '35', 'KABUPATEN PROBOLINGGO\r'),
('3514', '35', 'KABUPATEN PASURUAN\r'),
('3515', '35', 'KABUPATEN SIDOARJO\r'),
('3516', '35', 'KABUPATEN MOJOKERTO\r'),
('3517', '35', 'KABUPATEN JOMBANG\r'),
('3518', '35', 'KABUPATEN NGANJUK\r'),
('3519', '35', 'KABUPATEN MADIUN\r'),
('3520', '35', 'KABUPATEN MAGETAN\r'),
('3521', '35', 'KABUPATEN NGAWI\r'),
('3522', '35', 'KABUPATEN BOJONEGORO\r'),
('3523', '35', 'KABUPATEN TUBAN\r'),
('3524', '35', 'KABUPATEN LAMONGAN\r'),
('3525', '35', 'KABUPATEN GRESIK\r'),
('3526', '35', 'KABUPATEN BANGKALAN\r'),
('3527', '35', 'KABUPATEN SAMPANG\r'),
('3528', '35', 'KABUPATEN PAMEKASAN\r'),
('3529', '35', 'KABUPATEN SUMENEP\r'),
('3571', '35', 'KOTA KEDIRI\r'),
('3572', '35', 'KOTA BLITAR\r'),
('3573', '35', 'KOTA MALANG\r'),
('3574', '35', 'KOTA PROBOLINGGO\r'),
('3575', '35', 'KOTA PASURUAN\r'),
('3576', '35', 'KOTA MOJOKERTO\r'),
('3577', '35', 'KOTA MADIUN\r'),
('3578', '35', 'KOTA SURABAYA\r'),
('3579', '35', 'KOTA BATU\r'),
('3601', '36', 'KABUPATEN PANDEGLANG\r'),
('3602', '36', 'KABUPATEN LEBAK\r'),
('3603', '36', 'KABUPATEN TANGERANG\r'),
('3604', '36', 'KABUPATEN SERANG\r'),
('3671', '36', 'KOTA TANGERANG\r'),
('3672', '36', 'KOTA CILEGON\r'),
('3673', '36', 'KOTA SERANG\r'),
('3674', '36', 'KOTA TANGERANG SELATAN\r'),
('5101', '51', 'KABUPATEN JEMBRANA\r'),
('5102', '51', 'KABUPATEN TABANAN\r'),
('5103', '51', 'KABUPATEN BADUNG\r'),
('5104', '51', 'KABUPATEN GIANYAR\r'),
('5105', '51', 'KABUPATEN KLUNGKUNG\r'),
('5106', '51', 'KABUPATEN BANGLI\r'),
('5107', '51', 'KABUPATEN KARANG ASEM\r'),
('5108', '51', 'KABUPATEN BULELENG\r'),
('5171', '51', 'KOTA DENPASAR\r'),
('5201', '52', 'KABUPATEN LOMBOK BARAT\r'),
('5202', '52', 'KABUPATEN LOMBOK TENGAH\r'),
('5203', '52', 'KABUPATEN LOMBOK TIMUR\r'),
('5204', '52', 'KABUPATEN SUMBAWA\r'),
('5205', '52', 'KABUPATEN DOMPU\r'),
('5206', '52', 'KABUPATEN BIMA\r'),
('5207', '52', 'KABUPATEN SUMBAWA BARAT\r'),
('5208', '52', 'KABUPATEN LOMBOK UTARA\r'),
('5271', '52', 'KOTA MATARAM\r'),
('5272', '52', 'KOTA BIMA\r'),
('5301', '53', 'KABUPATEN SUMBA BARAT\r'),
('5302', '53', 'KABUPATEN SUMBA TIMUR\r'),
('5303', '53', 'KABUPATEN KUPANG\r'),
('5304', '53', 'KABUPATEN TIMOR TENGAH SE'),
('5305', '53', 'KABUPATEN TIMOR TENGAH UT'),
('5306', '53', 'KABUPATEN BELU\r'),
('5307', '53', 'KABUPATEN ALOR\r'),
('5308', '53', 'KABUPATEN LEMBATA\r'),
('5309', '53', 'KABUPATEN FLORES TIMUR\r'),
('5310', '53', 'KABUPATEN SIKKA\r'),
('5311', '53', 'KABUPATEN ENDE\r'),
('5312', '53', 'KABUPATEN NGADA\r'),
('5313', '53', 'KABUPATEN MANGGARAI\r'),
('5314', '53', 'KABUPATEN ROTE NDAO\r'),
('5315', '53', 'KABUPATEN MANGGARAI BARAT'),
('5316', '53', 'KABUPATEN SUMBA TENGAH\r'),
('5317', '53', 'KABUPATEN SUMBA BARAT DAY'),
('5318', '53', 'KABUPATEN NAGEKEO\r'),
('5319', '53', 'KABUPATEN MANGGARAI TIMUR'),
('5320', '53', 'KABUPATEN SABU RAIJUA\r'),
('5321', '53', 'KABUPATEN MALAKA\r'),
('5371', '53', 'KOTA KUPANG\r'),
('6101', '61', 'KABUPATEN SAMBAS\r'),
('6102', '61', 'KABUPATEN BENGKAYANG\r'),
('6103', '61', 'KABUPATEN LANDAK\r'),
('6104', '61', 'KABUPATEN MEMPAWAH\r'),
('6105', '61', 'KABUPATEN SANGGAU\r'),
('6106', '61', 'KABUPATEN KETAPANG\r'),
('6107', '61', 'KABUPATEN SINTANG\r'),
('6108', '61', 'KABUPATEN KAPUAS HULU\r'),
('6109', '61', 'KABUPATEN SEKADAU\r'),
('6110', '61', 'KABUPATEN MELAWI\r'),
('6111', '61', 'KABUPATEN KAYONG UTARA\r'),
('6112', '61', 'KABUPATEN KUBU RAYA\r'),
('6171', '61', 'KOTA PONTIANAK\r'),
('6172', '61', 'KOTA SINGKAWANG\r'),
('6201', '62', 'KABUPATEN KOTAWARINGIN BA'),
('6202', '62', 'KABUPATEN KOTAWARINGIN TI'),
('6203', '62', 'KABUPATEN KAPUAS\r'),
('6204', '62', 'KABUPATEN BARITO SELATAN\r'),
('6205', '62', 'KABUPATEN BARITO UTARA\r'),
('6206', '62', 'KABUPATEN SUKAMARA\r'),
('6207', '62', 'KABUPATEN LAMANDAU\r'),
('6208', '62', 'KABUPATEN SERUYAN\r'),
('6209', '62', 'KABUPATEN KATINGAN\r'),
('6210', '62', 'KABUPATEN PULANG PISAU\r'),
('6211', '62', 'KABUPATEN GUNUNG MAS\r'),
('6212', '62', 'KABUPATEN BARITO TIMUR\r'),
('6213', '62', 'KABUPATEN MURUNG RAYA\r'),
('6271', '62', 'KOTA PALANGKA RAYA\r'),
('6301', '63', 'KABUPATEN TANAH LAUT\r'),
('6302', '63', 'KABUPATEN KOTA BARU\r'),
('6303', '63', 'KABUPATEN BANJAR\r'),
('6304', '63', 'KABUPATEN BARITO KUALA\r'),
('6305', '63', 'KABUPATEN TAPIN\r'),
('6306', '63', 'KABUPATEN HULU SUNGAI SEL'),
('6307', '63', 'KABUPATEN HULU SUNGAI TEN'),
('6308', '63', 'KABUPATEN HULU SUNGAI UTA'),
('6309', '63', 'KABUPATEN TABALONG\r'),
('6310', '63', 'KABUPATEN TANAH BUMBU\r'),
('6311', '63', 'KABUPATEN BALANGAN\r'),
('6371', '63', 'KOTA BANJARMASIN\r'),
('6372', '63', 'KOTA BANJAR BARU\r'),
('6401', '64', 'KABUPATEN PASER\r'),
('6402', '64', 'KABUPATEN KUTAI BARAT\r'),
('6403', '64', 'KABUPATEN KUTAI KARTANEGA'),
('6404', '64', 'KABUPATEN KUTAI TIMUR\r'),
('6405', '64', 'KABUPATEN BERAU\r'),
('6409', '64', 'KABUPATEN PENAJAM PASER U'),
('6411', '64', 'KABUPATEN MAHAKAM HULU\r'),
('6471', '64', 'KOTA BALIKPAPAN\r'),
('6472', '64', 'KOTA SAMARINDA\r'),
('6474', '64', 'KOTA BONTANG\r'),
('6501', '65', 'KABUPATEN MALINAU\r'),
('6502', '65', 'KABUPATEN BULUNGAN\r'),
('6503', '65', 'KABUPATEN TANA TIDUNG\r'),
('6504', '65', 'KABUPATEN NUNUKAN\r'),
('6571', '65', 'KOTA TARAKAN\r'),
('7101', '71', 'KABUPATEN BOLAANG MONGOND'),
('7102', '71', 'KABUPATEN MINAHASA\r'),
('7103', '71', 'KABUPATEN KEPULAUAN SANGI'),
('7104', '71', 'KABUPATEN KEPULAUAN TALAU'),
('7105', '71', 'KABUPATEN MINAHASA SELATA'),
('7106', '71', 'KABUPATEN MINAHASA UTARA\r'),
('7107', '71', 'KABUPATEN BOLAANG MONGOND'),
('7108', '71', 'KABUPATEN SIAU TAGULANDAN'),
('7109', '71', 'KABUPATEN MINAHASA TENGGA'),
('7110', '71', 'KABUPATEN BOLAANG MONGOND'),
('7111', '71', 'KABUPATEN BOLAANG MONGOND'),
('7171', '71', 'KOTA MANADO\r'),
('7172', '71', 'KOTA BITUNG\r'),
('7173', '71', 'KOTA TOMOHON\r'),
('7174', '71', 'KOTA KOTAMOBAGU\r'),
('7201', '72', 'KABUPATEN BANGGAI KEPULAU'),
('7202', '72', 'KABUPATEN BANGGAI\r'),
('7203', '72', 'KABUPATEN MOROWALI\r'),
('7204', '72', 'KABUPATEN POSO\r'),
('7205', '72', 'KABUPATEN DONGGALA\r'),
('7206', '72', 'KABUPATEN TOLI-TOLI\r'),
('7207', '72', 'KABUPATEN BUOL\r'),
('7208', '72', 'KABUPATEN PARIGI MOUTONG\r'),
('7209', '72', 'KABUPATEN TOJO UNA-UNA\r'),
('7210', '72', 'KABUPATEN SIGI\r'),
('7211', '72', 'KABUPATEN BANGGAI LAUT\r'),
('7212', '72', 'KABUPATEN MOROWALI UTARA\r'),
('7271', '72', 'KOTA PALU\r'),
('7301', '73', 'KABUPATEN KEPULAUAN SELAY'),
('7302', '73', 'KABUPATEN BULUKUMBA\r'),
('7303', '73', 'KABUPATEN BANTAENG\r'),
('7304', '73', 'KABUPATEN JENEPONTO\r'),
('7305', '73', 'KABUPATEN TAKALAR\r'),
('7306', '73', 'KABUPATEN GOWA\r'),
('7307', '73', 'KABUPATEN SINJAI\r'),
('7308', '73', 'KABUPATEN MAROS\r'),
('7309', '73', 'KABUPATEN PANGKAJENE DAN '),
('7310', '73', 'KABUPATEN BARRU\r'),
('7311', '73', 'KABUPATEN BONE\r'),
('7312', '73', 'KABUPATEN SOPPENG\r'),
('7313', '73', 'KABUPATEN WAJO\r'),
('7314', '73', 'KABUPATEN SIDENRENG RAPPA'),
('7315', '73', 'KABUPATEN PINRANG\r'),
('7316', '73', 'KABUPATEN ENREKANG\r'),
('7317', '73', 'KABUPATEN LUWU\r'),
('7318', '73', 'KABUPATEN TANA TORAJA\r'),
('7322', '73', 'KABUPATEN LUWU UTARA\r'),
('7325', '73', 'KABUPATEN LUWU TIMUR\r'),
('7326', '73', 'KABUPATEN TORAJA UTARA\r'),
('7371', '73', 'KOTA MAKASSAR\r'),
('7372', '73', 'KOTA PAREPARE\r'),
('7373', '73', 'KOTA PALOPO\r'),
('7401', '74', 'KABUPATEN BUTON\r'),
('7402', '74', 'KABUPATEN MUNA\r'),
('7403', '74', 'KABUPATEN KONAWE\r'),
('7404', '74', 'KABUPATEN KOLAKA\r'),
('7405', '74', 'KABUPATEN KONAWE SELATAN\r'),
('7406', '74', 'KABUPATEN BOMBANA\r'),
('7407', '74', 'KABUPATEN WAKATOBI\r'),
('7408', '74', 'KABUPATEN KOLAKA UTARA\r'),
('7409', '74', 'KABUPATEN BUTON UTARA\r'),
('7410', '74', 'KABUPATEN KONAWE UTARA\r'),
('7411', '74', 'KABUPATEN KOLAKA TIMUR\r'),
('7412', '74', 'KABUPATEN KONAWE KEPULAUA'),
('7413', '74', 'KABUPATEN MUNA BARAT\r'),
('7414', '74', 'KABUPATEN BUTON TENGAH\r'),
('7415', '74', 'KABUPATEN BUTON SELATAN\r'),
('7471', '74', 'KOTA KENDARI\r'),
('7472', '74', 'KOTA BAUBAU\r'),
('7501', '75', 'KABUPATEN BOALEMO\r'),
('7502', '75', 'KABUPATEN GORONTALO\r'),
('7503', '75', 'KABUPATEN POHUWATO\r'),
('7504', '75', 'KABUPATEN BONE BOLANGO\r'),
('7505', '75', 'KABUPATEN GORONTALO UTARA'),
('7571', '75', 'KOTA GORONTALO\r'),
('7601', '76', 'KABUPATEN MAJENE\r'),
('7602', '76', 'KABUPATEN POLEWALI MANDAR'),
('7603', '76', 'KABUPATEN MAMASA\r'),
('7604', '76', 'KABUPATEN MAMUJU\r'),
('7605', '76', 'KABUPATEN MAMUJU UTARA\r'),
('7606', '76', 'KABUPATEN MAMUJU TENGAH\r'),
('8101', '81', 'KABUPATEN MALUKU TENGGARA'),
('8102', '81', 'KABUPATEN MALUKU TENGGARA'),
('8103', '81', 'KABUPATEN MALUKU TENGAH\r'),
('8104', '81', 'KABUPATEN BURU\r'),
('8105', '81', 'KABUPATEN KEPULAUAN ARU\r'),
('8106', '81', 'KABUPATEN SERAM BAGIAN BA'),
('8107', '81', 'KABUPATEN SERAM BAGIAN TI'),
('8108', '81', 'KABUPATEN MALUKU BARAT DA'),
('8109', '81', 'KABUPATEN BURU SELATAN\r'),
('8171', '81', 'KOTA AMBON\r'),
('8172', '81', 'KOTA TUAL\r'),
('8201', '82', 'KABUPATEN HALMAHERA BARAT'),
('8202', '82', 'KABUPATEN HALMAHERA TENGA'),
('8203', '82', 'KABUPATEN KEPULAUAN SULA\r'),
('8204', '82', 'KABUPATEN HALMAHERA SELAT'),
('8205', '82', 'KABUPATEN HALMAHERA UTARA'),
('8206', '82', 'KABUPATEN HALMAHERA TIMUR'),
('8207', '82', 'KABUPATEN PULAU MOROTAI\r'),
('8208', '82', 'KABUPATEN PULAU TALIABU\r'),
('8271', '82', 'KOTA TERNATE\r'),
('8272', '82', 'KOTA TIDORE KEPULAUAN\r'),
('9101', '91', 'KABUPATEN FAKFAK\r'),
('9102', '91', 'KABUPATEN KAIMANA\r'),
('9103', '91', 'KABUPATEN TELUK WONDAMA\r'),
('9104', '91', 'KABUPATEN TELUK BINTUNI\r'),
('9105', '91', 'KABUPATEN MANOKWARI\r'),
('9106', '91', 'KABUPATEN SORONG SELATAN\r'),
('9107', '91', 'KABUPATEN SORONG\r'),
('9108', '91', 'KABUPATEN RAJA AMPAT\r'),
('9109', '91', 'KABUPATEN TAMBRAUW\r'),
('9110', '91', 'KABUPATEN MAYBRAT\r'),
('9111', '91', 'KABUPATEN MANOKWARI SELAT'),
('9112', '91', 'KABUPATEN PEGUNUNGAN ARFA'),
('9171', '91', 'KOTA SORONG\r'),
('9401', '94', 'KABUPATEN MERAUKE\r'),
('9402', '94', 'KABUPATEN JAYAWIJAYA\r'),
('9403', '94', 'KABUPATEN JAYAPURA\r'),
('9404', '94', 'KABUPATEN NABIRE\r'),
('9408', '94', 'KABUPATEN KEPULAUAN YAPEN'),
('9409', '94', 'KABUPATEN BIAK NUMFOR\r'),
('9410', '94', 'KABUPATEN PANIAI\r'),
('9411', '94', 'KABUPATEN PUNCAK JAYA\r'),
('9412', '94', 'KABUPATEN MIMIKA\r'),
('9413', '94', 'KABUPATEN BOVEN DIGOEL\r'),
('9414', '94', 'KABUPATEN MAPPI\r'),
('9415', '94', 'KABUPATEN ASMAT\r'),
('9416', '94', 'KABUPATEN YAHUKIMO\r'),
('9417', '94', 'KABUPATEN PEGUNUNGAN BINT'),
('9418', '94', 'KABUPATEN TOLIKARA\r'),
('9419', '94', 'KABUPATEN SARMI\r'),
('9420', '94', 'KABUPATEN KEEROM\r'),
('9426', '94', 'KABUPATEN WAROPEN\r'),
('9427', '94', 'KABUPATEN SUPIORI\r'),
('9428', '94', 'KABUPATEN MAMBERAMO RAYA\r'),
('9429', '94', 'KABUPATEN NDUGA\r'),
('9430', '94', 'KABUPATEN LANNY JAYA\r'),
('9431', '94', 'KABUPATEN MAMBERAMO TENGA'),
('9432', '94', 'KABUPATEN YALIMO\r'),
('9433', '94', 'KABUPATEN PUNCAK\r'),
('9434', '94', 'KABUPATEN DOGIYAI\r'),
('9435', '94', 'KABUPATEN INTAN JAYA\r'),
('9436', '94', 'KABUPATEN DEIYAI\r'),
('9471', '94', 'KOTA JAYAPURA\r');
--
-- Ketidakleluasaan untuk tabel pelimpahan (Dumped Tables)
--
--
-- Ketidakleluasaan untuk tabel `regencies`
--
ALTER TABLE `regencies`
ADD CONSTRAINT `regencies_province_id_foreign` FOREIGN KEY (`province_id`) REFERENCES `provinces` (`id`);
/*!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 */;
|
Insert into egcl_servicecategory (id,name,code,isactive,version,createdby,createddate,lastmodifiedby,lastmodifieddate) values
(nextval('seq_egcl_servicecategory'),'Punjab Payment Gateway','PNB',true,0,1,now(),1,now());
|
CREATE PROCEDURE [dbo].[spUser_Delete]
@Id int
AS
begin
delete
from dbo.[User]
where Id = @Id;
end
|
<gh_stars>0
COPY boodskapks.assetdevices TO './data/cassandra/dump/assetdevices.csv' WITH HEADER=TRUE;
COPY boodskapks.assetgeofences TO './data/cassandra/dump/assetgeofences.csv' WITH HEADER=TRUE;
COPY boodskapks.assetgroupmembers TO './data/cassandra/dump/assetgroupmembers.csv' WITH HEADER=TRUE;
COPY boodskapks.assetgroups TO './data/cassandra/dump/assetgroups.csv' WITH HEADER=TRUE;
COPY boodskapks.assets TO './data/cassandra/dump/assets.csv' WITH HEADER=TRUE;
COPY boodskapks.binaryrules TO './data/cassandra/dump/binaryrules.csv' WITH HEADER=TRUE;
COPY boodskapks.counters TO './data/cassandra/dump/counters.csv' WITH HEADER=TRUE;
COPY boodskapks.deviceassets TO './data/cassandra/dump/deviceassets.csv' WITH HEADER=TRUE;
COPY boodskapks.devicecommands TO './data/cassandra/dump/devicecommands.csv' WITH HEADER=TRUE;
COPY boodskapks.devicecounters TO './data/cassandra/dump/devicecounters.csv' WITH HEADER=TRUE;
COPY boodskapks.devicefriends TO './data/cassandra/dump/devicefriends.csv' WITH HEADER=TRUE;
COPY boodskapks.devicegeofences TO './data/cassandra/dump/devicegeofences.csv' WITH HEADER=TRUE;
COPY boodskapks.devicegroupmembers TO './data/cassandra/dump/devicegroupmembers.csv' WITH HEADER=TRUE;
COPY boodskapks.devicegroups TO './data/cassandra/dump/devicegroups.csv' WITH HEADER=TRUE;
COPY boodskapks.devicemodelnames TO './data/cassandra/dump/devicemodelnames.csv' WITH HEADER=TRUE;
COPY boodskapks.devicemodelproperties TO './data/cassandra/dump/devicemodelproperties.csv' WITH HEADER=TRUE;
COPY boodskapks.devicemodels TO './data/cassandra/dump/devicemodels.csv' WITH HEADER=TRUE;
COPY boodskapks.deviceproperties TO './data/cassandra/dump/deviceproperties.csv' WITH HEADER=TRUE;
COPY boodskapks.devices TO './data/cassandra/dump/devices.csv' WITH HEADER=TRUE;
COPY boodskapks.domainassetgroupmembers TO './data/cassandra/dump/domainassetgroupmembers.csv' WITH HEADER=TRUE;
COPY boodskapks.domainassetgroups TO './data/cassandra/dump/domainassetgroups.csv' WITH HEADER=TRUE;
COPY boodskapks.domaincounters TO './data/cassandra/dump/domaincounters.csv' WITH HEADER=TRUE;
COPY boodskapks.domaindevicegroupmembers TO './data/cassandra/dump/domaindevicegroupmembers.csv' WITH HEADER=TRUE;
COPY boodskapks.domaindevicegroups TO './data/cassandra/dump/domaindevicegroups.csv' WITH HEADER=TRUE;
COPY boodskapks.domainfiles TO './data/cassandra/dump/domainfiles.csv' WITH HEADER=TRUE;
COPY boodskapks.domainkeys TO './data/cassandra/dump/domainkeys.csv' WITH HEADER=TRUE;
COPY boodskapks.domainlicenses TO './data/cassandra/dump/domainlicenses.csv' WITH HEADER=TRUE;
COPY boodskapks.domainnodes TO './data/cassandra/dump/domainnodes.csv' WITH HEADER=TRUE;
COPY boodskapks.domainrules TO './data/cassandra/dump/domainrules.csv' WITH HEADER=TRUE;
COPY boodskapks.domains TO './data/cassandra/dump/domains.csv' WITH HEADER=TRUE;
COPY boodskapks.domainusergroupmembers TO './data/cassandra/dump/domainusergroupmembers.csv' WITH HEADER=TRUE;
COPY boodskapks.domainusergroups TO './data/cassandra/dump/domainusergroups.csv' WITH HEADER=TRUE;
COPY boodskapks.dynamichistorymessages TO './data/cassandra/dump/dynamichistorymessages.csv' WITH HEADER=TRUE;
COPY boodskapks.dynamicmessages TO './data/cassandra/dump/dynamicmessages.csv' WITH HEADER=TRUE;
COPY boodskapks.dynamicstatusmessages TO './data/cassandra/dump/dynamicstatusmessages.csv' WITH HEADER=TRUE;
COPY boodskapks.emailgateways TO './data/cassandra/dump/emailgateways.csv' WITH HEADER=TRUE;
COPY boodskapks.entitygeofences TO './data/cassandra/dump/entitygeofences.csv' WITH HEADER=TRUE;
COPY boodskapks.eventregistrations TO './data/cassandra/dump/eventregistrations.csv' WITH HEADER=TRUE;
COPY boodskapks.events TO './data/cassandra/dump/events.csv' WITH HEADER=TRUE;
COPY boodskapks.fcmdevices TO './data/cassandra/dump/fcmdevices.csv' WITH HEADER=TRUE;
COPY boodskapks.fcmgateways TO './data/cassandra/dump/fcmgateways.csv' WITH HEADER=TRUE;
COPY boodskapks.firmwares TO './data/cassandra/dump/firmwares.csv' WITH HEADER=TRUE;
COPY boodskapks.firstreceiveddevicemessages TO './data/cassandra/dump/firstreceiveddevicemessages.csv' WITH HEADER=TRUE;
COPY boodskapks.firstreceivedmessages TO './data/cassandra/dump/firstreceivedmessages.csv' WITH HEADER=TRUE;
COPY boodskapks.fleetcounters TO './data/cassandra/dump/fleetcounters.csv' WITH HEADER=TRUE;
COPY boodskapks.fleetgroupmembers TO './data/cassandra/dump/fleetgroupmembers.csv' WITH HEADER=TRUE;
COPY boodskapks.fleetgroups TO './data/cassandra/dump/fleetgroups.csv' WITH HEADER=TRUE;
COPY boodskapks.frmodelimageids TO './data/cassandra/dump/frmodelimageids.csv' WITH HEADER=TRUE;
COPY boodskapks.frmodelimagelabels TO './data/cassandra/dump/frmodelimagelabels.csv' WITH HEADER=TRUE;
COPY boodskapks.frmodelimages TO './data/cassandra/dump/frmodelimages.csv' WITH HEADER=TRUE;
COPY boodskapks.frmodelnodes TO './data/cassandra/dump/frmodelnodes.csv' WITH HEADER=TRUE;
COPY boodskapks.frmodels TO './data/cassandra/dump/frmodels.csv' WITH HEADER=TRUE;
COPY boodskapks.frpredictionimages TO './data/cassandra/dump/frpredictionimages.csv' WITH HEADER=TRUE;
COPY boodskapks.geofences TO './data/cassandra/dump/geofences.csv' WITH HEADER=TRUE;
COPY boodskapks.globaldata TO './data/cassandra/dump/globaldata.csv' WITH HEADER=TRUE;
COPY boodskapks.idcounters TO './data/cassandra/dump/idcounters.csv' WITH HEADER=TRUE;
COPY boodskapks.lastreceiveddevicemessages TO './data/cassandra/dump/lastreceiveddevicemessages.csv' WITH HEADER=TRUE;
COPY boodskapks.lastreceivedmessages TO './data/cassandra/dump/lastreceivedmessages.csv' WITH HEADER=TRUE;
COPY boodskapks.licensecheck TO './data/cassandra/dump/licensecheck.csv' WITH HEADER=TRUE;
COPY boodskapks.linkeddomains TO './data/cassandra/dump/linkeddomains.csv' WITH HEADER=TRUE;
COPY boodskapks.lookup TO './data/cassandra/dump/lookup.csv' WITH HEADER=TRUE;
COPY boodskapks.messagefields TO './data/cassandra/dump/messagefields.csv' WITH HEADER=TRUE;
COPY boodskapks.messageindex TO './data/cassandra/dump/messageindex.csv' WITH HEADER=TRUE;
COPY boodskapks.messageobjectrecognitions TO './data/cassandra/dump/messageobjectrecognitions.csv' WITH HEADER=TRUE;
COPY boodskapks.messagerules TO './data/cassandra/dump/messagerules.csv' WITH HEADER=TRUE;
COPY boodskapks.messagespecifications TO './data/cassandra/dump/messagespecifications.csv' WITH HEADER=TRUE;
COPY boodskapks.mlmodelattributes TO './data/cassandra/dump/mlmodelattributes.csv' WITH HEADER=TRUE;
COPY boodskapks.mlmodeldata TO './data/cassandra/dump/mlmodeldata.csv' WITH HEADER=TRUE;
COPY boodskapks.mlmodels TO './data/cassandra/dump/mlmodels.csv' WITH HEADER=TRUE;
COPY boodskapks.mlpendingmodeldata TO './data/cassandra/dump/mlpendingmodeldata.csv' WITH HEADER=TRUE;
COPY boodskapks.namedrules TO './data/cassandra/dump/namedrules.csv' WITH HEADER=TRUE;
COPY boodskapks.nodedomains TO './data/cassandra/dump/nodedomains.csv' WITH HEADER=TRUE;
COPY boodskapks.nodescheduledrules TO './data/cassandra/dump/nodescheduledrules.csv' WITH HEADER=TRUE;
COPY boodskapks.offlinesnaps TO './data/cassandra/dump/offlinesnaps.csv' WITH HEADER=TRUE;
COPY boodskapks.offlinestreams TO './data/cassandra/dump/offlinestreams.csv' WITH HEADER=TRUE;
COPY boodskapks.offlinestreamsessions TO './data/cassandra/dump/offlinestreamsessions.csv' WITH HEADER=TRUE;
COPY boodskapks.opencvormodelcascades TO './data/cassandra/dump/opencvormodelcascades.csv' WITH HEADER=TRUE;
COPY boodskapks.opencvormodels TO './data/cassandra/dump/opencvormodels.csv' WITH HEADER=TRUE;
COPY boodskapks.organizations TO './data/cassandra/dump/organizations.csv' WITH HEADER=TRUE;
COPY boodskapks.orgassets TO './data/cassandra/dump/orgassets.csv' WITH HEADER=TRUE;
COPY boodskapks.orgdevices TO './data/cassandra/dump/orgdevices.csv' WITH HEADER=TRUE;
COPY boodskapks.orgroles TO './data/cassandra/dump/orgroles.csv' WITH HEADER=TRUE;
COPY boodskapks.orguserroles TO './data/cassandra/dump/orguserroles.csv' WITH HEADER=TRUE;
COPY boodskapks.orgusers TO './data/cassandra/dump/orgusers.csv' WITH HEADER=TRUE;
COPY boodskapks.otadevicebatches TO './data/cassandra/dump/otadevicebatches.csv' WITH HEADER=TRUE;
COPY boodskapks.otadevicebatchmembers TO './data/cassandra/dump/otadevicebatchmembers.csv' WITH HEADER=TRUE;
COPY boodskapks.otamodelbatches TO './data/cassandra/dump/otamodelbatches.csv' WITH HEADER=TRUE;
COPY boodskapks.otamodelbatchmembers TO './data/cassandra/dump/otamodelbatchmembers.csv' WITH HEADER=TRUE;
COPY boodskapks.outgoingcommands TO './data/cassandra/dump/outgoingcommands.csv' WITH HEADER=TRUE;
COPY boodskapks.outgoingemails TO './data/cassandra/dump/outgoingemails.csv' WITH HEADER=TRUE;
COPY boodskapks.outgoingfcms TO './data/cassandra/dump/outgoingfcms.csv' WITH HEADER=TRUE;
COPY boodskapks.outgoingsms TO './data/cassandra/dump/outgoingsms.csv' WITH HEADER=TRUE;
COPY boodskapks.outgoingvoices TO './data/cassandra/dump/outgoingvoices.csv' WITH HEADER=TRUE;
COPY boodskapks.pendingotas TO './data/cassandra/dump/pendingotas.csv' WITH HEADER=TRUE;
COPY boodskapks.pendingrawdata TO './data/cassandra/dump/pendingrawdata.csv' WITH HEADER=TRUE;
COPY boodskapks.pluginctx TO './data/cassandra/dump/pluginctx.csv' WITH HEADER=TRUE;
COPY boodskapks.pluginids TO './data/cassandra/dump/pluginids.csv' WITH HEADER=TRUE;
COPY boodskapks.preprocessors TO './data/cassandra/dump/preprocessors.csv' WITH HEADER=TRUE;
COPY boodskapks.properties TO './data/cassandra/dump/properties.csv' WITH HEADER=TRUE;
COPY boodskapks.publicfiles TO './data/cassandra/dump/publicfiles.csv' WITH HEADER=TRUE;
COPY boodskapks.rawdata TO './data/cassandra/dump/rawdata.csv' WITH HEADER=TRUE;
COPY boodskapks.rawmessages TO './data/cassandra/dump/rawmessages.csv' WITH HEADER=TRUE;
COPY boodskapks.recordfields TO './data/cassandra/dump/recordfields.csv' WITH HEADER=TRUE;
COPY boodskapks.records TO './data/cassandra/dump/records.csv' WITH HEADER=TRUE;
COPY boodskapks.recordspecifications TO './data/cassandra/dump/recordspecifications.csv' WITH HEADER=TRUE;
COPY boodskapks.reporteddevices TO './data/cassandra/dump/reporteddevices.csv' WITH HEADER=TRUE;
COPY boodskapks.roles TO './data/cassandra/dump/roles.csv' WITH HEADER=TRUE;
COPY boodskapks.scheduledrules TO './data/cassandra/dump/scheduledrules.csv' WITH HEADER=TRUE;
COPY boodskapks.sentemails TO './data/cassandra/dump/sentemails.csv' WITH HEADER=TRUE;
COPY boodskapks.sentfcms TO './data/cassandra/dump/sentfcms.csv' WITH HEADER=TRUE;
COPY boodskapks.sentsms TO './data/cassandra/dump/sentsms.csv' WITH HEADER=TRUE;
COPY boodskapks.sentvoices TO './data/cassandra/dump/sentvoices.csv' WITH HEADER=TRUE;
COPY boodskapks.systemtemplates TO './data/cassandra/dump/systemtemplates.csv' WITH HEADER=TRUE;
COPY boodskapks.tdomaincounters TO './data/cassandra/dump/tdomaincounters.csv' WITH HEADER=TRUE;
COPY boodskapks.templates TO './data/cassandra/dump/templates.csv' WITH HEADER=TRUE;
COPY boodskapks.tensorflowormodels TO './data/cassandra/dump/tensorflowormodels.csv' WITH HEADER=TRUE;
COPY boodskapks.twiliogateways TO './data/cassandra/dump/twiliogateways.csv' WITH HEADER=TRUE;
COPY boodskapks.udpgateways TO './data/cassandra/dump/udpgateways.csv' WITH HEADER=TRUE;
COPY boodskapks.userassetgroupmembers TO './data/cassandra/dump/userassetgroupmembers.csv' WITH HEADER=TRUE;
COPY boodskapks.userassetgroups TO './data/cassandra/dump/userassetgroups.csv' WITH HEADER=TRUE;
COPY boodskapks.userdevicegroupmembers TO './data/cassandra/dump/userdevicegroupmembers.csv' WITH HEADER=TRUE;
COPY boodskapks.userdevicegroups TO './data/cassandra/dump/userdevicegroups.csv' WITH HEADER=TRUE;
COPY boodskapks.usergroupmembers TO './data/cassandra/dump/usergroupmembers.csv' WITH HEADER=TRUE;
COPY boodskapks.usergroups TO './data/cassandra/dump/usergroups.csv' WITH HEADER=TRUE;
COPY boodskapks.usernamedrules TO './data/cassandra/dump/usernamedrules.csv' WITH HEADER=TRUE;
COPY boodskapks.users TO './data/cassandra/dump/users.csv' WITH HEADER=TRUE;
|
/*
SQLyog Ultimate v11.3 (64 bit)
MySQL - 10.1.21-MariaDB : Database - forge
*********************************************************************
*/
/*!40101 SET NAMES utf8 */;
/*!40101 SET SQL_MODE=''*/;
/*!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 */;
CREATE DATABASE /*!32312 IF NOT EXISTS*/`forge` /*!40100 DEFAULT CHARACTER SET utf8 */;
USE `forge`;
/*Table structure for table `change_message` */
DROP TABLE IF EXISTS `change_message`;
CREATE TABLE `change_message` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`client_id` int(11) DEFAULT NULL,
`user_id` int(11) DEFAULT NULL,
`quote_id` int(11) DEFAULT NULL,
`message` text,
`send_date` datetime DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `change_message` */
/*Table structure for table `client_attachments` */
DROP TABLE IF EXISTS `client_attachments`;
CREATE TABLE `client_attachments` (
`attachment_id` int(11) NOT NULL AUTO_INCREMENT,
`quote_check` int(1) DEFAULT '-1',
`job_check` int(1) DEFAULT '-1',
`invoice_check` int(1) DEFAULT '-1',
`alias` text NOT NULL,
`path` text NOT NULL,
`note` text,
`created_at` text,
PRIMARY KEY (`attachment_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `client_attachments` */
/*Table structure for table `clients` */
DROP TABLE IF EXISTS `clients`;
CREATE TABLE `clients` (
`client_id` int(11) NOT NULL AUTO_INCREMENT,
`first_name` text NOT NULL,
`last_name` text,
`company` text,
`use_company` int(1) DEFAULT '-1',
`user_id` int(11) NOT NULL,
`tag` text,
`created_at` datetime NOT NULL,
PRIMARY KEY (`client_id`)
) ENGINE=InnoDB AUTO_INCREMENT=34 DEFAULT CHARSET=utf8;
/*Data for the table `clients` */
insert into `clients`(`client_id`,`first_name`,`last_name`,`company`,`use_company`,`user_id`,`tag`,`created_at`) values (1,'John','Maker','Company',-1,2,NULL,'2018-03-08 16:46:00'),(23,'f','ff',NULL,0,5,NULL,'2018-03-08 17:11:23'),(24,'d','d',NULL,0,2,NULL,'2018-03-10 16:27:31'),(25,'df','ff',NULL,0,2,NULL,'2018-03-11 11:31:30'),(26,'A','Aaaa',NULL,0,2,NULL,'2018-03-12 03:03:43'),(27,'sdfg','sdfg',NULL,0,2,NULL,'2018-03-14 07:30:17'),(28,'asdfa','sdf',NULL,0,2,NULL,'2018-03-14 07:32:36'),(29,'eeee','yyyyy',NULL,0,2,NULL,'2018-03-14 07:58:30'),(30,'f','gdfg',NULL,0,2,NULL,'2018-03-14 09:17:45'),(31,'ghjk','ghjkg','hjk',0,2,NULL,'2018-03-14 11:00:17'),(32,'asdf','asdfa',NULL,0,2,NULL,'2018-03-14 11:01:40'),(33,'test','test<PASSWORD>',NULL,0,2,NULL,'2018-03-14 11:06:13');
/*Table structure for table `clients_contact` */
DROP TABLE IF EXISTS `clients_contact`;
CREATE TABLE `clients_contact` (
`contact_id` int(11) NOT NULL AUTO_INCREMENT,
`client_id` int(11) NOT NULL,
`type` int(1) DEFAULT '1',
`option` int(11) NOT NULL,
`value` text,
`is_primary` int(1) DEFAULT '-1',
PRIMARY KEY (`contact_id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;
/*Data for the table `clients_contact` */
insert into `clients_contact`(`contact_id`,`client_id`,`type`,`option`,`value`,`is_primary`) values (1,25,1,1,'123123123',1),(3,23,1,1,'123123123',1);
/*Table structure for table `clients_login` */
DROP TABLE IF EXISTS `clients_login`;
CREATE TABLE `clients_login` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`client_id` int(11) DEFAULT NULL,
`password` text,
`logged_in` datetime DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `clients_login` */
/*Table structure for table `clients_properties` */
DROP TABLE IF EXISTS `clients_properties`;
CREATE TABLE `clients_properties` (
`property_id` int(11) NOT NULL AUTO_INCREMENT,
`client_id` int(11) NOT NULL,
`street1` text,
`street2` text,
`city` text,
`state` text,
`zip_code` text,
`country` text,
`type` int(1) NOT NULL DEFAULT '1',
`tax` double(10,2) DEFAULT NULL,
`longitude` double DEFAULT NULL,
`latitude` double DEFAULT NULL,
PRIMARY KEY (`property_id`)
) ENGINE=InnoDB AUTO_INCREMENT=61 DEFAULT CHARSET=utf8;
/*Data for the table `clients_properties` */
insert into `clients_properties`(`property_id`,`client_id`,`street1`,`street2`,`city`,`state`,`zip_code`,`country`,`type`,`tax`,`longitude`,`latitude`) values (36,1,'dongcheng',NULL,'beijing','2 ho',NULL,'China',1,NULL,116.416357,39.928353),(37,1,'dongcheng',NULL,'beijing','2 ho',NULL,'China',-1,NULL,18.643501,60.128161),(38,23,'sxsxs','sxs',NULL,'sxsxs',NULL,'united states',-1,0.00,NULL,NULL),(39,23,'ssss',NULL,NULL,NULL,NULL,'United States',1,0.20,NULL,NULL),(40,24,NULL,NULL,'Dddd',NULL,NULL,'united states',1,0.00,NULL,NULL),(41,25,'ff','ff',NULL,NULL,NULL,'united states',1,0.00,NULL,NULL),(42,25,'ff','ff',NULL,NULL,NULL,'united states',-1,0.00,NULL,NULL),(43,26,'Aa',NULL,NULL,NULL,NULL,'Albania',1,NULL,NULL,NULL),(44,26,'Aa',NULL,NULL,NULL,NULL,'Albania',-1,0.00,NULL,NULL),(45,23,'zzz','zzz',NULL,NULL,NULL,'United States',1,0.20,NULL,NULL),(46,23,'zz',NULL,NULL,NULL,NULL,'United States',1,0.20,NULL,NULL),(47,27,NULL,NULL,NULL,'sdfg','sdfg','united states',1,0.00,NULL,NULL),(48,27,NULL,NULL,NULL,'sdfg','sdfg','united states',-1,0.00,NULL,NULL),(49,28,NULL,NULL,NULL,NULL,NULL,'united states',-1,0.00,NULL,NULL),(50,28,'wewe','wewewe',NULL,NULL,NULL,'United States',1,0.20,NULL,NULL),(51,29,'hhhhhh',NULL,NULL,NULL,NULL,'united states',1,0.00,NULL,NULL),(52,29,'hhhhhh',NULL,NULL,NULL,NULL,'united states',-1,0.00,NULL,NULL),(53,30,'dfgdfgdf',NULL,NULL,NULL,NULL,'united states',1,0.00,NULL,NULL),(54,30,'dfgdfgdf',NULL,NULL,NULL,NULL,'united states',-1,0.00,NULL,NULL),(55,31,NULL,'ghjkghjk',NULL,NULL,NULL,'united states',1,0.00,NULL,NULL),(56,31,NULL,'ghjkghjk',NULL,NULL,NULL,'united states',-1,0.00,NULL,NULL),(57,32,'sdfasdfas','dfasdfasdfa','sdfasdfasdf',NULL,NULL,'united states',1,0.00,NULL,NULL),(58,32,'sdfasdfas','dfasdfasdfa','sdfasdfasdf',NULL,NULL,'united states',-1,0.00,NULL,NULL),(59,33,'6526 Yount St',NULL,'Yountville','CA','94599','united states',1,0.00,-122.3604337,38.4031642),(60,33,'6526 Yount St',NULL,'Yountville','CA','94599','united states',-1,0.00,-122.3604337,38.4031642);
/*Table structure for table `completes` */
DROP TABLE IF EXISTS `completes`;
CREATE TABLE `completes` (
`id` int(10) NOT NULL AUTO_INCREMENT,
`completed_id` int(10) DEFAULT NULL,
`completed_type` varchar(20) DEFAULT NULL,
`completed_date` date DEFAULT NULL,
`closed_date` date DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `completes` */
/*Table structure for table `events` */
DROP TABLE IF EXISTS `events`;
CREATE TABLE `events` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`title` char(255) DEFAULT NULL,
`start_date` date DEFAULT NULL,
`end_date` date DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`note` text,
`allday` int(10) DEFAULT '-1',
`repeat` varchar(255) DEFAULT NULL,
`user_id` int(11) NOT NULL,
`time_start` time DEFAULT NULL,
`time_end` time DEFAULT NULL,
`client_id` int(10) DEFAULT NULL,
`member_id` varchar(20) DEFAULT NULL,
`is_completed` int(1) DEFAULT '-1',
`completed_by` int(10) DEFAULT NULL,
`completed_at` date DEFAULT NULL,
`property_id` int(10) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `events` */
/*Table structure for table `invoice_reminder` */
DROP TABLE IF EXISTS `invoice_reminder`;
CREATE TABLE `invoice_reminder` (
`invoice_reminder_id` int(11) NOT NULL AUTO_INCREMENT,
`job_id` int(11) DEFAULT NULL,
`details` varchar(250) DEFAULT NULL,
`start_date` date DEFAULT NULL,
`end_date` date DEFAULT NULL,
`start_time` time DEFAULT NULL,
`end_time` time DEFAULT NULL,
`member_id` varchar(30) DEFAULT NULL,
PRIMARY KEY (`invoice_reminder_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `invoice_reminder` */
/*Table structure for table `invoices` */
DROP TABLE IF EXISTS `invoices`;
CREATE TABLE `invoices` (
`invoice_id` int(11) NOT NULL AUTO_INCREMENT,
`client_id` int(11) NOT NULL,
`property_id` int(11) NOT NULL,
`user_id` int(11) NOT NULL,
`description` text,
`client_message` text,
`discount` double(10,2) DEFAULT NULL,
`discount_percent` int(1) DEFAULT '1',
`tax` double(10,2) DEFAULT NULL,
`deposit` double(10,2) DEFAULT NULL,
`deposit_percent` int(1) DEFAULT '1',
`job_ids` text,
`status` int(11) NOT NULL DEFAULT '1',
`issue_date` date DEFAULT NULL,
`payment_date` date DEFAULT NULL,
`pay_due_type` int(11) DEFAULT '1',
`created_at` date DEFAULT NULL,
`received_date` date DEFAULT NULL,
`sendmail_date` date DEFAULT NULL,
PRIMARY KEY (`invoice_id`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8;
/*Data for the table `invoices` */
insert into `invoices`(`invoice_id`,`client_id`,`property_id`,`user_id`,`description`,`client_message`,`discount`,`discount_percent`,`tax`,`deposit`,`deposit_percent`,`job_ids`,`status`,`issue_date`,`payment_date`,`pay_due_type`,`created_at`,`received_date`,`sendmail_date`) values (1,1,36,2,'For Services Rendered','test',0.00,1,0.00,0.00,1,'9',1,NULL,NULL,3,'2018-03-10',NULL,NULL),(2,1,36,2,'Invoices for <NAME>',NULL,0.00,1,0.20,0.00,1,'',3,'2018-03-16',NULL,3,'2018-03-14',NULL,'2018-03-16');
/*Table structure for table `invoices_attachments` */
DROP TABLE IF EXISTS `invoices_attachments`;
CREATE TABLE `invoices_attachments` (
`attachment_id` int(11) NOT NULL AUTO_INCREMENT,
`note` text,
`alias` text NOT NULL,
`path` text NOT NULL,
`created_at` text NOT NULL,
`invoice_id` int(11) NOT NULL,
`user_id` int(11) NOT NULL,
PRIMARY KEY (`attachment_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `invoices_attachments` */
/*Table structure for table `invoices_services` */
DROP TABLE IF EXISTS `invoices_services`;
CREATE TABLE `invoices_services` (
`invoice_service_id` int(11) NOT NULL AUTO_INCREMENT,
`invoice_id` int(11) DEFAULT NULL,
`service_id` int(11) DEFAULT NULL,
`service_name` text,
`service_description` text,
`quantity` int(11) DEFAULT NULL,
`cost` double(10,2) DEFAULT NULL,
PRIMARY KEY (`invoice_service_id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;
/*Data for the table `invoices_services` */
insert into `invoices_services`(`invoice_service_id`,`invoice_id`,`service_id`,`service_name`,`service_description`,`quantity`,`cost`) values (2,2,1,'Free lancer','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(3,2,2,'Free lancer','Service 2Service 2Service 2Service 2Service 2',1,200.00);
/*Table structure for table `jobs` */
DROP TABLE IF EXISTS `jobs`;
CREATE TABLE `jobs` (
`job_id` int(11) NOT NULL AUTO_INCREMENT,
`client_id` int(11) NOT NULL,
`property_id` int(11) NOT NULL,
`quote_id` int(11) DEFAULT NULL,
`user_id` int(11) NOT NULL,
`description` text,
`type` int(1) NOT NULL,
`unscheduled` int(1) NOT NULL DEFAULT '0',
`visit_frequence` int(11) DEFAULT NULL,
`date_started` date DEFAULT NULL,
`date_ended` date DEFAULT NULL,
`time_started` time DEFAULT NULL,
`time_ended` time DEFAULT NULL,
`internal_notes` text,
`invoicing` int(1) DEFAULT '1',
`duration` int(11) DEFAULT NULL,
`duration_unit` int(11) DEFAULT NULL,
`billing_frequency` int(11) DEFAULT NULL,
`status` int(11) DEFAULT NULL,
`created_at` datetime DEFAULT NULL,
`closed_at` date DEFAULT NULL,
PRIMARY KEY (`job_id`)
) ENGINE=InnoDB AUTO_INCREMENT=75 DEFAULT CHARSET=utf8;
/*Data for the table `jobs` */
insert into `jobs`(`job_id`,`client_id`,`property_id`,`quote_id`,`user_id`,`description`,`type`,`unscheduled`,`visit_frequence`,`date_started`,`date_ended`,`time_started`,`time_ended`,`internal_notes`,`invoicing`,`duration`,`duration_unit`,`billing_frequency`,`status`,`created_at`,`closed_at`) values (35,26,43,NULL,2,'Water Damage (accidental discharge or overflow) due to all other water damage loss',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 02:35:17',NULL),(36,24,40,NULL,2,'Air conditioner Leak',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 03:17:49',NULL),(37,26,43,NULL,2,'Accidental Death',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 03:27:05',NULL),(38,26,43,NULL,2,'Accidental Death',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 03:29:09',NULL),(39,26,43,NULL,2,'Accidental Death',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 03:29:37',NULL),(40,1,36,NULL,2,'Water Damage (accidental discharge or overflow) due to all other water damage loss',1,0,1,'2018-03-14','2018-03-15','10:00:00','12:00:00',NULL,1,NULL,NULL,5,1,'2018-03-14 03:31:10',NULL),(41,24,40,NULL,2,'All other Losses (including Vandalism and Malicious Mischief)',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 03:31:37',NULL),(42,24,40,NULL,2,'All other Losses (including Vandalism and Malicious Mischief)',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 03:38:25',NULL),(43,25,41,NULL,2,'All other Losses (including Vandalism and Malicious Mischief)',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 03:43:53',NULL),(44,25,41,NULL,2,'All other Losses (including Vandalism and Malicious Mischief)',1,0,1,'2018-03-14','2018-03-15','15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 03:44:27',NULL),(45,25,41,NULL,2,'All other Losses (including Vandalism and Malicious Mischief)',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 03:46:12',NULL),(46,25,41,NULL,2,'All other Losses (including Vandalism and Malicious Mischief)',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 03:47:34',NULL),(47,25,41,NULL,2,'All other Losses (including Vandalism and Malicious Mischief)',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 03:49:05',NULL),(48,26,43,NULL,2,'Accidental Death',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 07:09:18',NULL),(49,26,43,NULL,2,'Accidental Death',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 07:14:55',NULL),(50,26,43,NULL,2,'Accidental Death',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 07:20:59',NULL),(51,26,43,NULL,2,'Accidental Death',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 07:23:00',NULL),(52,1,36,NULL,2,'Accidental Death',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 07:25:38',NULL),(53,26,43,NULL,2,'Accidental Death',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 07:26:54',NULL),(54,26,43,NULL,2,'Accidental Death',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 07:28:18',NULL),(55,26,43,NULL,2,'Accidental Death',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 07:29:18',NULL),(56,27,47,NULL,2,'afafafafaf',1,0,1,'2018-03-14','2018-03-28','15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 07:30:52',NULL),(57,28,50,NULL,2,'afafafafaf',1,0,1,'2018-03-06','2018-03-20','15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 07:35:00',NULL),(58,28,50,NULL,2,'Accidental Death',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 07:55:38',NULL),(59,29,51,NULL,2,'All other Losses (including Vandalism and Malicious Mischief)',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 07:58:59',NULL),(60,25,41,NULL,2,'Accidental Death',1,0,1,'2018-03-13','2018-03-20','15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 08:10:00',NULL),(61,25,41,NULL,2,'Accidental Death',1,0,1,'2018-03-13','2018-03-22','15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 08:10:27',NULL),(62,24,40,NULL,2,'Accidental Death',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 08:11:45',NULL),(63,24,40,NULL,2,'Accidental Death',1,0,1,'2018-03-06','2018-03-26','15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 08:14:19',NULL),(64,24,40,NULL,2,'All other Losses (including Vandalism and Malicious Mischief)',1,0,1,'2018-03-06','2018-03-26','15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 08:14:54',NULL),(65,28,50,NULL,2,'Accidental Death',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 08:17:35',NULL),(66,1,36,NULL,2,'Accidental Death',1,0,1,'2018-03-13','2018-03-14','15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 08:23:55',NULL),(67,26,43,NULL,2,'Accidental Death',1,1,1,NULL,NULL,'15:00:00','15:30:00','',1,NULL,NULL,NULL,1,'2018-03-14 11:00:49',NULL),(68,1,36,NULL,2,'Accidental Death',1,0,1,'2018-03-14','2018-03-14',NULL,NULL,NULL,1,NULL,NULL,5,1,'2018-03-14 06:48:20',NULL),(69,1,36,NULL,2,'Accidental Death',1,0,1,'2018-03-14','2018-03-14',NULL,NULL,NULL,1,NULL,NULL,5,1,'2018-03-14 06:49:41',NULL),(70,1,36,NULL,2,'Accidental Death',1,0,1,'2018-03-14','2018-03-14',NULL,NULL,NULL,1,NULL,NULL,5,1,'2018-03-14 06:50:17',NULL),(71,1,36,NULL,2,'Description',1,0,1,'2018-03-21','2018-03-21','00:00:00','00:00:00',NULL,1,NULL,NULL,5,1,'2018-03-16 00:48:40',NULL),(72,1,36,NULL,2,'Description',1,0,1,'2018-03-16','2018-03-16',NULL,NULL,NULL,1,NULL,NULL,5,1,'2018-03-16 03:15:50',NULL),(73,1,36,NULL,2,'Description',1,0,1,'2018-03-29','2018-04-06',NULL,NULL,NULL,1,NULL,NULL,5,1,'2018-03-29 22:34:18',NULL),(74,1,36,NULL,2,'Description',1,0,1,'2018-03-29','2018-03-31',NULL,NULL,NULL,1,NULL,NULL,5,1,'2018-03-29 22:44:09',NULL);
/*Table structure for table `jobs_attachments` */
DROP TABLE IF EXISTS `jobs_attachments`;
CREATE TABLE `jobs_attachments` (
`attachment_id` int(11) NOT NULL AUTO_INCREMENT,
`job_id` int(11) NOT NULL,
`alias` text NOT NULL,
`filepath` text NOT NULL,
PRIMARY KEY (`attachment_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `jobs_attachments` */
/*Table structure for table `jobs_notes` */
DROP TABLE IF EXISTS `jobs_notes`;
CREATE TABLE `jobs_notes` (
`note_id` int(10) NOT NULL AUTO_INCREMENT,
`job_id` int(10) DEFAULT NULL,
`service_perform` text,
`remark` text,
PRIMARY KEY (`note_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `jobs_notes` */
/*Table structure for table `jobs_services` */
DROP TABLE IF EXISTS `jobs_services`;
CREATE TABLE `jobs_services` (
`job_service_id` int(11) NOT NULL AUTO_INCREMENT,
`job_id` int(11) DEFAULT NULL,
`service_id` int(11) DEFAULT NULL,
`service_name` text,
`service_description` text,
`quantity` int(11) DEFAULT NULL,
`cost` double(10,2) DEFAULT NULL,
`quoted` int(11) DEFAULT NULL,
PRIMARY KEY (`job_service_id`)
) ENGINE=InnoDB AUTO_INCREMENT=99 DEFAULT CHARSET=utf8;
/*Data for the table `jobs_services` */
insert into `jobs_services`(`job_service_id`,`job_id`,`service_id`,`service_name`,`service_description`,`quantity`,`cost`,`quoted`) values (28,39,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',0,100.00,NULL),(30,41,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00,NULL),(31,42,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00,NULL),(32,42,3,'teew','dafadfadf',0,1231.00,NULL),(33,43,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',0,100.00,NULL),(34,44,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',0,100.00,NULL),(35,48,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',10,100.00,NULL),(36,48,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00,NULL),(37,49,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',10,100.00,NULL),(38,49,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00,NULL),(39,50,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',10,100.00,NULL),(40,50,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00,NULL),(41,50,3,'teew','dafadfadf',10,1231.00,NULL),(42,51,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',10,100.00,NULL),(43,51,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00,NULL),(44,51,3,'teew','dafadfadf',10,1231.00,NULL),(45,52,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',10,100.00,NULL),(46,52,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00,NULL),(47,54,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',10,100.00,NULL),(48,54,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00,NULL),(51,55,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00,NULL),(52,55,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',100,200.00,NULL),(65,58,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',10,100.00,NULL),(66,58,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',1,200.00,NULL),(71,59,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',10,100.00,NULL),(72,59,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',2,200.00,NULL),(73,40,NULL,'1010','1010',1,20.00,NULL),(79,56,1,'aaaa','sssss',0,0.00,NULL),(80,60,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',10,100.00,NULL),(82,61,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',100,100.00,NULL),(84,62,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',100,200.00,NULL),(85,63,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00,NULL),(88,64,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',100,200.00,NULL),(91,66,1,'Service 1+++','Service 1Service 1Service 1Service 1Service 1Service 1',100,100.00,NULL),(92,68,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',1,200.00,NULL),(93,69,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',1,200.00,NULL),(94,70,NULL,'Service 2',NULL,1,200.00,NULL),(95,71,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00,NULL),(96,72,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00,NULL),(97,73,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00,NULL),(98,74,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00,NULL);
/*Table structure for table `jobs_team` */
DROP TABLE IF EXISTS `jobs_team`;
CREATE TABLE `jobs_team` (
`job_team_id` int(11) NOT NULL AUTO_INCREMENT,
`job_id` int(11) NOT NULL,
`member_id` text NOT NULL,
PRIMARY KEY (`job_team_id`)
) ENGINE=InnoDB AUTO_INCREMENT=32 DEFAULT CHARSET=utf8;
/*Data for the table `jobs_team` */
insert into `jobs_team`(`job_team_id`,`job_id`,`member_id`) values (20,44,'2'),(21,44,'6'),(22,44,'4'),(23,44,'2'),(24,64,'4'),(25,64,'2'),(26,66,'2'),(27,66,'4'),(28,66,'7'),(29,68,'5'),(30,69,'5'),(31,73,'4,5,6');
/*Table structure for table `migrations` */
DROP TABLE IF EXISTS `migrations`;
CREATE TABLE `migrations` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`migration` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`batch` int(11) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
/*Data for the table `migrations` */
/*Table structure for table `password_resets` */
DROP TABLE IF EXISTS `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,
KEY `password_resets_email_index` (`email`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
/*Data for the table `password_resets` */
/*Table structure for table `payment` */
DROP TABLE IF EXISTS `payment`;
CREATE TABLE `payment` (
`payment_id` int(10) NOT NULL AUTO_INCREMENT,
`amount` double(10,2) NOT NULL,
`note` text,
`created_at` date DEFAULT NULL,
`applied_to` int(10) DEFAULT NULL,
`user_id` int(11) DEFAULT NULL,
`status` int(1) DEFAULT NULL,
`client_id` int(10) NOT NULL,
`type` int(1) DEFAULT NULL,
PRIMARY KEY (`payment_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `payment` */
/*Table structure for table `quotes` */
DROP TABLE IF EXISTS `quotes`;
CREATE TABLE `quotes` (
`quote_id` int(11) NOT NULL AUTO_INCREMENT,
`client_id` int(11) NOT NULL,
`property_id` int(11) NOT NULL,
`user_id` int(11) NOT NULL,
`description` text,
`rate_opportunity` int(1) NOT NULL DEFAULT '0',
`client_message` text,
`discount` double(10,2) DEFAULT NULL,
`discount_percent` int(1) DEFAULT '-1',
`tax` double(10,2) DEFAULT NULL,
`deposit` double(10,2) DEFAULT NULL,
`deposit_percent` int(1) DEFAULT '-1',
`status` int(11) NOT NULL DEFAULT '1',
`created_at` date NOT NULL,
`related_job_id` int(11) DEFAULT NULL,
`sendmail_date` date DEFAULT NULL,
`approved_date` date DEFAULT NULL,
PRIMARY KEY (`quote_id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;
/*Data for the table `quotes` */
insert into `quotes`(`quote_id`,`client_id`,`property_id`,`user_id`,`description`,`rate_opportunity`,`client_message`,`discount`,`discount_percent`,`tax`,`deposit`,`deposit_percent`,`status`,`created_at`,`related_job_id`,`sendmail_date`,`approved_date`) values (2,26,43,2,NULL,5,'',NULL,NULL,0.20,NULL,NULL,2,'2018-03-13',NULL,'2018-03-16',NULL),(3,1,36,2,NULL,4,NULL,0.00,1,0.20,0.00,1,1,'2018-03-20',NULL,NULL,NULL);
/*Table structure for table `quotes_attachments` */
DROP TABLE IF EXISTS `quotes_attachments`;
CREATE TABLE `quotes_attachments` (
`attachment_id` int(11) NOT NULL AUTO_INCREMENT,
`note` text,
`alias` text NOT NULL,
`path` text NOT NULL,
`invoice_check` int(1) DEFAULT '-1',
`job_check` int(1) DEFAULT '-1',
`created_at` text,
`quote_id` int(11) DEFAULT NULL,
`user_id` int(11) DEFAULT NULL,
PRIMARY KEY (`attachment_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `quotes_attachments` */
/*Table structure for table `quotes_internalnotes` */
DROP TABLE IF EXISTS `quotes_internalnotes`;
CREATE TABLE `quotes_internalnotes` (
`note_id` int(11) NOT NULL AUTO_INCREMENT,
`attachment_id` int(11) DEFAULT NULL,
`quote_id` int(11) NOT NULL,
`note_content` text,
PRIMARY KEY (`note_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `quotes_internalnotes` */
/*Table structure for table `quotes_services` */
DROP TABLE IF EXISTS `quotes_services`;
CREATE TABLE `quotes_services` (
`quote_service_id` int(11) NOT NULL AUTO_INCREMENT,
`quote_id` int(11) DEFAULT NULL,
`service_id` int(11) DEFAULT NULL,
`service_name` text,
`service_description` text,
`quantity` int(11) DEFAULT NULL,
`cost` double(10,2) DEFAULT NULL,
PRIMARY KEY (`quote_service_id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;
/*Data for the table `quotes_services` */
insert into `quotes_services`(`quote_service_id`,`quote_id`,`service_id`,`service_name`,`service_description`,`quantity`,`cost`) values (2,2,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',0,100.00),(3,3,1,'Free lancer','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00);
/*Table structure for table `required_deposit` */
DROP TABLE IF EXISTS `required_deposit`;
CREATE TABLE `required_deposit` (
`require_deposit_id` int(11) NOT NULL AUTO_INCREMENT,
`quote_id` int(11) NOT NULL,
`deposit_require` int(11) NOT NULL,
`created_date` date DEFAULT NULL,
`state` int(1) DEFAULT '-1',
PRIMARY KEY (`require_deposit_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `required_deposit` */
/*Table structure for table `services` */
DROP TABLE IF EXISTS `services`;
CREATE TABLE `services` (
`service_id` int(11) NOT NULL AUTO_INCREMENT,
`name` text NOT NULL,
`type` int(1) NOT NULL DEFAULT '1',
`description` text,
`cost` double(10,2) NOT NULL DEFAULT '0.00',
`exempt` int(1) NOT NULL DEFAULT '-1',
`user_id` int(11) NOT NULL,
`sort` int(11) NOT NULL DEFAULT '1',
PRIMARY KEY (`service_id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;
/*Data for the table `services` */
insert into `services`(`service_id`,`name`,`type`,`description`,`cost`,`exempt`,`user_id`,`sort`) values (1,'Service 1',1,'Service 1Service 1Service 1Service 1Service 1Service 1',100.00,-1,2,1),(2,'Service 2',1,'Service 2Service 2Service 2Service 2Service 2',200.00,-1,2,2),(3,'teew',2,'dafadfadf',1231.00,-1,2,3);
/*Table structure for table `tasks` */
DROP TABLE IF EXISTS `tasks`;
CREATE TABLE `tasks` (
`task_id` int(11) NOT NULL AUTO_INCREMENT,
`title` text,
`description` text,
`date_started` date DEFAULT NULL,
`time_started` time DEFAULT NULL,
`date_ended` date DEFAULT NULL,
`time_ended` time DEFAULT NULL,
`is_allday` int(1) NOT NULL DEFAULT '-1',
`repeat` int(1) NOT NULL DEFAULT '1',
`user_id` int(11) DEFAULT NULL,
`member_id` varchar(20) DEFAULT NULL,
`is_complete` int(1) NOT NULL DEFAULT '-1',
`date_completed` date DEFAULT NULL,
`job_id` int(11) DEFAULT NULL,
`client_id` int(10) DEFAULT NULL,
`property_id` int(10) DEFAULT NULL,
PRIMARY KEY (`task_id`)
) ENGINE=InnoDB AUTO_INCREMENT=13 DEFAULT CHARSET=utf8;
/*Data for the table `tasks` */
insert into `tasks`(`task_id`,`title`,`description`,`date_started`,`time_started`,`date_ended`,`time_ended`,`is_allday`,`repeat`,`user_id`,`member_id`,`is_complete`,`date_completed`,`job_id`,`client_id`,`property_id`) values (6,'asdfa','sdf','2018-03-13','18:30:00','2018-03-13','18:30:00',-1,1,2,'',1,'2018-03-14',35,NULL,NULL),(7,'qwerrrrrrrrrrrrrrrrrrrrrrrr','qwerwqer','2018-03-07','00:00:00','2018-03-07','23:00:00',-1,2,2,'4,5,6',-1,NULL,40,NULL,NULL),(8,'123123','1231231','2018-03-04','00:00:00','2018-03-04','23:00:00',1,1,2,'4,5,6',-1,NULL,71,NULL,NULL),(10,'234234','234234','2018-03-05','00:00:00','2018-03-05','23:00:00',1,1,2,'4,5,6',-1,NULL,71,NULL,NULL),(11,'qwe','qwe','2018-03-29','00:00:00','2018-03-29','23:00:00',1,1,2,NULL,-1,NULL,71,NULL,NULL),(12,'rwe','erw','2018-03-29','00:00:00','2018-03-29','23:00:00',1,1,2,NULL,-1,NULL,35,NULL,NULL);
/*Table structure for table `taxes` */
DROP TABLE IF EXISTS `taxes`;
CREATE TABLE `taxes` (
`tax_id` int(11) NOT NULL AUTO_INCREMENT,
`name` text NOT NULL,
`description` text,
`value` double(10,2) NOT NULL DEFAULT '0.00',
`is_default` int(1) NOT NULL DEFAULT '-1',
`user_id` int(11) NOT NULL,
PRIMARY KEY (`tax_id`)
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8;
/*Data for the table `taxes` */
insert into `taxes`(`tax_id`,`name`,`description`,`value`,`is_default`,`user_id`) values (1,'tax1',NULL,0.20,1,2);
/*Table structure for table `teams` */
DROP TABLE IF EXISTS `teams`;
CREATE TABLE `teams` (
`team_member_id` int(11) NOT NULL AUTO_INCREMENT,
`owner_id` int(11) NOT NULL,
`fullname` text,
`email` text,
`phone` text,
`photo` text,
`street` text,
`city` text,
`state` text,
`zip_code` text,
`country` text,
`permission` text,
PRIMARY KEY (`team_member_id`)
) ENGINE=InnoDB AUTO_INCREMENT=38 DEFAULT CHARSET=utf8;
/*Data for the table `teams` */
insert into `teams`(`team_member_id`,`owner_id`,`fullname`,`email`,`phone`,`photo`,`street`,`city`,`state`,`zip_code`,`country`,`permission`) values (2,2,'Free lancer','<EMAIL>',NULL,NULL,'asfasf','Florstadt','Södermanlands län','61197','Sweden','1'),(4,2,'limited worker','<EMAIL>',NULL,NULL,'dongcheng','beijing','2 ho','123234','China','3'),(5,2,'worker','<EMAIL>',NULL,NULL,'Chaoyang','beijing','2 ho','123234','China','4'),(6,2,'dispatcher','<EMAIL>',NULL,NULL,'Tongzhou','beijing',NULL,'61197','China','5'),(7,2,'mamager','<EMAIL>',NULL,NULL,'asfasf','Florstadt','Södermanlands län','61197','Sweden','6'),(8,7,'d','d',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(9,8,'d','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(10,9,'d','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(11,10,'a','a',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(12,11,'as','s',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(13,12,'D','DSDFSDF',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(14,13,'d','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(15,14,'sdf','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(16,15,'asdf','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(17,16,'efasd','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(18,17,'asdfasdfasdf','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(19,18,'eee','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(20,19,'fff','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(21,20,'101010','101010',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(22,21,'asdfasdfasdf','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(23,22,'444','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(24,23,'555 555','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(25,24,'d','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(26,25,'d','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(27,26,'d','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(28,27,'666 666','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(29,28,'d','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(30,29,'d','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(31,30,'d','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(32,31,'d','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(33,32,'d','<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(34,33,'d','<EMAIL>00--<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(35,34,'d','<EMAIL>00---<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(36,35,'d','<EMAIL>00----<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1'),(37,36,'d','<EMAIL>000-----<EMAIL>',NULL,NULL,NULL,NULL,NULL,NULL,NULL,'1');
/*Table structure for table `timesheets` */
DROP TABLE IF EXISTS `timesheets`;
CREATE TABLE `timesheets` (
`id` int(10) NOT NULL AUTO_INCREMENT,
`category` varchar(250) DEFAULT NULL,
`start_time` time DEFAULT NULL,
`end_time` time DEFAULT NULL,
`duration` time DEFAULT NULL,
`save_date` date DEFAULT NULL,
`note` varchar(250) DEFAULT NULL,
`created_at` datetime DEFAULT NULL,
`user_id` int(11) NOT NULL,
`approve` int(1) NOT NULL DEFAULT '-1',
`member_id` int(11) DEFAULT NULL,
`visit_id` int(11) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;
/*Data for the table `timesheets` */
insert into `timesheets`(`id`,`category`,`start_time`,`end_time`,`duration`,`save_date`,`note`,`created_at`,`user_id`,`approve`,`member_id`,`visit_id`) values (1,'General','18:06:00',NULL,NULL,NULL,NULL,NULL,5,-1,2,NULL),(2,'General','18:06:00',NULL,NULL,NULL,NULL,NULL,4,-1,2,NULL),(3,'General','18:06:00',NULL,NULL,NULL,NULL,NULL,6,-1,2,NULL);
/*Table structure for table `timesheets_approve` */
DROP TABLE IF EXISTS `timesheets_approve`;
CREATE TABLE `timesheets_approve` (
`approve_id` int(1) NOT NULL AUTO_INCREMENT,
`timesheets_id` int(1) NOT NULL,
`date` varchar(255) CHARACTER SET utf8 COLLATE utf8_unicode_ci DEFAULT NULL,
`day` varchar(200) CHARACTER SET utf8 COLLATE utf8_unicode_ci DEFAULT NULL,
`hours` varchar(255) CHARACTER SET utf8 COLLATE utf8_unicode_ci DEFAULT NULL,
`expenses` double(10,2) DEFAULT NULL,
`status` int(1) NOT NULL DEFAULT '-1',
`user_id` int(1) NOT NULL,
`save_date` date DEFAULT NULL,
`member_id` int(11) DEFAULT NULL,
PRIMARY KEY (`approve_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `timesheets_approve` */
/*Table structure for table `user_position` */
DROP TABLE IF EXISTS `user_position`;
CREATE TABLE `user_position` (
`user_id` int(11) NOT NULL,
`longitude` double NOT NULL DEFAULT '0',
`latitude` double NOT NULL DEFAULT '0'
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*Data for the table `user_position` */
insert into `user_position`(`user_id`,`longitude`,`latitude`) values (4,116.34535,39.345345),(5,115.67757,39.9676),(6,115.9967,39.42342);
/*Table structure for table `users` */
DROP TABLE IF EXISTS `users`;
CREATE TABLE `users` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`email` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`fullname` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`company` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`password` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`remember_token` varchar(100) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`api_token` text COLLATE utf8mb4_unicode_ci,
`owner` int(1) NOT NULL DEFAULT '-1',
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
`team_id` int(10) DEFAULT '0',
`device_id` text COLLATE utf8mb4_unicode_ci,
PRIMARY KEY (`id`),
UNIQUE KEY `users_email_unique` (`email`)
) ENGINE=InnoDB AUTO_INCREMENT=37 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
/*Data for the table `users` */
insert into `users`(`id`,`name`,`email`,`fullname`,`company`,`password`,`remember_token`,`api_token`,`owner`,`created_at`,`updated_at`,`team_id`,`device_id`) values (2,'Free lancer','<EMAIL>',NULL,'Golden Age','$2y$10$5UOWTl/boolUWGvbB/U9QuP3UyTz8sw3hX9qvyxIFsYkPF62HGLfW','9GELjLLfWlNFx8JEgswgAZo1DmJkD2CP9RIgITQU0eVa37irwLDpjcsS8u6h','ZZGJt60dM8TEM1XKNggJFOqkL8wKTcaIquqsdYVFz6JAmRsUVHcT5Bwde2y8aYRk',-1,'2018-03-07 09:02:35','2018-03-15 07:03:21',2,'\"undefined\"'),(3,'limited worker','<EMAIL>',NULL,'golden age','$2y$10$AMvvpKyCMxB37UtYYON3Sux2rkaDLkN3X6twoQEDXdOJ.D.4HQFFe','iJZpxoqIeUNSPX8eWTSc1oSRNvsSv5BJ7d46fFkat5JGPGpGdIBobMpkWgbp','KQGktZyL5ZI3jcFhmtn2W8hri1o38w9ZGqwQD7ZHfpw9cFAjJJ8KyWFyT88ltFZd',-1,'2018-03-09 09:21:42','2018-03-09 10:09:29',4,NULL),(4,'worker','<EMAIL>',NULL,'golden age','$2y$10$i434aFqYWoFsTjktHLm40eI/l2tP/VlZ9v1OwYa8ojfivEWfkXgKu','lxb8WWI7IogGMUlZWgMh244qKb8go24hPczdGacHT0bLdC62gLj5ZAhWPtdB','1sZLYPeCx7Secp9tUjNF9T1FULxOC1zXgfPqjyx4Kvqe0dGM5i41rNLO3lwvn1xW',-1,'2018-03-09 09:22:08','2018-03-09 10:08:33',5,NULL),(5,'dispatcher','<EMAIL>',NULL,'golden age','$2y$10$jWWdCY7v3pcP/lyxP4.0MuRNnAxYwpMQKH3/tWmuq/FBf2yRH.oSG','JR4En6Z1Ahx1ulDxIJsJ05dPaVUOK3FWqCM9JeXFhH9xShgsbknnIhrAvwls','uoeJGCj0gdcDXwnHYnNO28V3mDK1FdINbIOZBuvGboLuBK2u6ojgoH3VHue3K7jL',-1,'2018-03-09 09:22:29','2018-03-09 10:18:13',6,NULL),(6,'mamager','<EMAIL>',NULL,'golden age','$2y$10$Fvey90jLJkymddF61E2C/.rZqIdMpPtKSwGK0lmK5SoIgXONbRx0C','2SPDPMnGKNCKykgizbtZh0llZ5Pr1FeJEoa44sCYm1WLYCl7JiXnDFLZBuw6','SAFvM1EoP7FD86xbiHDvo8LA26jSjP5lN2rtCXeeliN44gYZoB6qqv2mJH7fqqc5',-1,'2018-03-09 09:22:48','2018-03-09 09:25:43',7,NULL),(7,'d','d',NULL,'d','$2y$10$/omExp2Gw7QpgHaqiLjMaOGCLFJjtuYcEvhJnQi1iMaZbH7An8mKO',NULL,NULL,1,'2018-03-14 17:11:53','2018-03-14 17:11:53',0,NULL),(8,'d','<EMAIL>',NULL,'d','$2y$10$lYCzdTvi0oiBQpMfApWlhOYfgjDdL6OPTDeHV/8tVgKZPoa8vK8vm',NULL,NULL,1,'2018-03-14 17:12:11','2018-03-14 17:12:11',0,NULL),(9,'d','<EMAIL>',NULL,'d','$2y$10$HU7T0jingguNyIJZmRh.buUYkObHiQW/Kq95qps4P8nLpw7MnsTD2',NULL,NULL,1,'2018-03-14 17:13:51','2018-03-14 17:13:51',0,NULL),(10,'a','a',NULL,'a','$2y$10$NHydzR.XXrzDvQbA8YakC.uQgLsV5SrLy/w0SIq0aGak.prKKt0t2',NULL,NULL,1,'2018-03-14 17:17:51','2018-03-14 17:17:51',0,NULL),(11,'as','s',NULL,'s','$2y$10$M7s5n.9RyCvS3iUifvqcP.q6zpKsRWJ5pgQu.4BumW75fJITedsO2',NULL,NULL,1,'2018-03-14 17:24:22','2018-03-14 17:24:22',0,NULL),(12,'D','DSDFSDF',NULL,'D','$2y$10$g5NtGUquKBBCPc1/0JZpze2fev9qCt2mNcDKaAryT6k9DxK1aTspy',NULL,NULL,1,'2018-03-14 17:42:23','2018-03-14 17:42:23',0,NULL),(13,'d','<EMAIL>',NULL,'d','$2y$10$imc/WChY8H0GyZxzjM1JMu.cJAhcltqDk/EB9nscfzu4u6ocmu95u',NULL,NULL,1,'2018-03-14 17:51:41','2018-03-14 17:51:41',0,NULL),(14,'sdf','<EMAIL>',NULL,'asdf','$2y$10$Q5qChouViEGNXJr7wwkFN.fyK03AcrDha/f.aJsOzkMfxK6cY/Sza',NULL,NULL,1,'2018-03-14 17:53:46','2018-03-14 17:53:46',0,NULL),(15,'asdf','<EMAIL>',NULL,'asdfasda','$2y$10$C.gr5lXl/Q2gfNk/a0I1o.M8kO37faQrgMxLLFXqzgD.8C7wVGyFi',NULL,NULL,1,'2018-03-14 17:56:07','2018-03-14 17:56:07',0,NULL),(16,'efasd','<EMAIL>',NULL,'zxcvzxcvzxcv','$2y$10$TYasSI0/XSokhfKo4IZo9e5ySqzUHjnRoSSm6wHDGHRrmIITDFU0S',NULL,NULL,1,'2018-03-14 17:58:31','2018-03-14 17:58:31',0,NULL),(17,'asdfasdfasdf','<EMAIL>',NULL,'asdfasdfasdf','$2y$10$CxKaCeLdsEDXUlMJ7DnvcepwR6VzqueW0dBLWqk3y0NTmVMzNHXXi',NULL,NULL,1,'2018-03-14 17:59:28','2018-03-14 17:59:28',0,NULL),(18,'eee','<EMAIL>',NULL,'eee','$2y$10$npI0avWL.jJu3uq/QfS/eOsrTBcQmRz.4GM0ULqGUd8fmJ3C3NnLq',NULL,'rques3b2zxmSS6PIYsW1WPxLoWYqpZ6WAIeN1keYiysVwBICicnxGyhDjoLofVGL',1,'2018-03-14 18:01:30','2018-03-14 18:01:30',0,NULL),(19,'fff','<EMAIL>',NULL,'fff','$2y$10$YNDOTqr9KYxgo5ktIgs8neREjsCnp99geJzQHnC84aKuuWPEjDeBK',NULL,'TRZnuRMLPgWYwLOsEAebOsxD7BBL9IK3Z2Osfh9s0FC1SUwCVdKcLkBgurXKGi99',1,'2018-03-14 18:02:21','2018-03-14 18:02:21',0,NULL),(20,'101010','101010',NULL,'101010','$2y$10$ZJpW5WLPjoweNzoMjkLAU.DBCwkSe6FA2PZ6.W5X0aJVfjTgbV5Be',NULL,'dutZfOPCCgSxr1uIiPZBhUea0YzTxePJtpmbVI0btT6cd9veKcyJ9f6E22tuuNxc',1,'2018-03-14 18:32:23','2018-03-14 18:32:23',0,NULL),(21,'<PASSWORD>','<EMAIL>',NULL,'asdfasdfasdfa','$2y$10$9R6J14vHlczIeFpaWDGfRuTMM/SBxpPo6eaRAC2mkFNKURcfN/gUa',NULL,'bdaj7qIDp2jpS1AmQRCHcvZ8fqOTRAFImtFMC2nQWLU6cCQhJ3iBn3QMt5A1S674',1,'2018-03-14 18:34:29','2018-03-14 18:34:29',0,NULL),(22,'444','<EMAIL>',NULL,'444','$2y$10$Ql0SE.waOhXFqNQB6cB52.pKbzZzUiKWI6.1QPbzxOGJFX5gtvcCK',NULL,'cLDywRxLblwp1dbenUAr6qkKwdwovgL4o1710tdXI475lNr9f6glgZboKTiwxNdr',1,'2018-03-15 06:51:23','2018-03-15 06:51:24',0,NULL),(23,'555 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07:33:16',0,'0'),(31,'d','<EMAIL>',NULL,'d','$2y$10$Ue77IPTVBnm7AoySYel5be/2.bMqsnTjMSqRjlci4fpErNfCvcmr.',NULL,'gq0hI936vgansKWPW4sFNdlBlDFRsj1bsGvKdLIj2ZK4NkcKPg9zYLcfzirZtPtx',1,'2018-03-15 07:34:14','2018-03-15 07:34:15',0,'0'),(32,'d','<EMAIL>',NULL,'d','$2y$10$COueTPCxYzNC9y6ijxTGaeVrO6D7SHJcrLjgJLglysDUWppMkrweu',NULL,'1Pn64fLoWAIDvNPx4lclwcqLaQAZSeiLYPCjjCble334A8QdHhD0rv198f7RDvuS',1,'2018-03-15 07:34:36','2018-03-15 07:34:36',0,'0'),(33,'d','<EMAIL>0--<EMAIL>',NULL,'d','$2y$10$3fLwkhtzUW4R06GcSpicq.Ot7/aqqlJyZ.I1ZRsVspuh6hvER1sXK',NULL,'hIfpVRYaTpLn2leLH6rxKG0pux1CME3RYtenUY8SVDRzRqZb5NCWpJmycHieiF0I',1,'2018-03-15 07:36:28','2018-03-15 07:36:28',0,'0'),(34,'d','<EMAIL>---<EMAIL>',NULL,'d','$2y$10$mGUtiLdlczF/ZSIef6D3RuHf5VJfMnLmFupdj5rr0RnDO6HGnk/8e',NULL,'26BdgYGrkJjD4n7tQmbdtF5ziKWJczkstBlW0PBT7IazEdDEYO7nTtcsMEY7sl24',1,'2018-03-15 07:36:56','2018-03-15 07:36:57',0,'0'),(35,'d','<EMAIL>----<EMAIL>',NULL,'d','$2y$10$TQ5sNgTTP553DUTlfOt5NuHzuNV7QyI5IAd.NKk4fUXXHFibMuSKq',NULL,'iZtw7zTehznnCVwHt8qpG9FdCrnm6Z6yufYZBbyqOiX4WvMClk6jRHwRQ69u7vyU',1,'2018-03-15 07:37:17','2018-03-15 07:37:17',0,'0'),(36,'d','dasddddfa00000-----0<EMAIL>',NULL,'d','$2y$10$kyNKT6gpjrf/MOkvhI39peXUAb6WkYog2oO8uSLLN3owY2FLEFipy',NULL,'3nQltGBvITVCEYppBoa5p8LnrEiuwUn8Zn5yH31s0mg3Jjq5elBKlrmLp3Pmhbzf',1,'2018-03-15 07:39:43','2018-03-15 07:39:43',37,'0');
/*Table structure for table `visits` */
DROP TABLE IF EXISTS `visits`;
CREATE TABLE `visits` (
`visit_id` int(11) NOT NULL AUTO_INCREMENT,
`job_id` int(11) DEFAULT NULL,
`member_id` text,
`title` text,
`details` text,
`start_date` date DEFAULT NULL,
`end_date` date DEFAULT NULL,
`start_time` time DEFAULT NULL,
`end_time` time DEFAULT NULL,
`visit_reminder` int(11) DEFAULT NULL,
`status` int(11) DEFAULT NULL,
`completed_by` int(11) DEFAULT NULL,
`completed_on` datetime DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
`anytime` int(1) DEFAULT '-1',
PRIMARY KEY (`visit_id`)
) ENGINE=InnoDB AUTO_INCREMENT=109 DEFAULT CHARSET=utf8;
/*Data for the table `visits` */
insert into `visits`(`visit_id`,`job_id`,`member_id`,`title`,`details`,`start_date`,`end_date`,`start_time`,`end_time`,`visit_reminder`,`status`,`completed_by`,`completed_on`,`created_at`,`updated_at`,`anytime`) values (52,40,NULL,'<NAME> - Water Damage (accidental discharge or overflow) due to all other water damage loss',NULL,'2018-03-14','2018-03-14','10:00:00','12:00:00',0,1,NULL,NULL,'2018-03-14 19:31:10','2018-03-14 19:31:10',-1),(53,40,NULL,'<NAME> - Water Damage (accidental discharge or overflow) due to all other water damage loss',NULL,'2018-03-15','2018-03-15','10:00:00','12:00:00',0,1,NULL,NULL,'2018-03-14 19:31:10','2018-03-14 19:31:10',-1),(54,44,'2,6,4,2','','All other Losses (including Vandalism and Malicious Mischief)','2018-03-14','2018-03-14','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-14 19:44:28','2018-03-14 19:44:28',-1),(55,44,'2,6,4,2','','All other Losses (including Vandalism and Malicious Mischief)','2018-03-15','2018-03-15','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-14 19:44:28','2018-03-14 19:44:28',-1),(56,56,'','','Accidental Death','2018-03-14','2018-03-14','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-14 23:30:52','2018-03-15 01:11:00',-1),(57,56,'','','Accidental Death','2018-03-21','2018-03-21','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-14 23:30:53','2018-03-14 23:30:53',-1),(58,56,'','','Accidental Death','2018-03-28','2018-03-28','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-14 23:30:53','2018-03-14 23:30:53',-1),(59,57,'','','Air conditioner Leak','2018-03-06','2018-03-06','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-14 23:35:00','2018-03-14 23:35:00',-1),(60,57,'','','Air conditioner Leak','2018-03-13','2018-03-13','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-14 23:35:00','2018-03-14 23:35:00',-1),(61,57,'','','Air conditioner Leak','2018-03-20','2018-03-20','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-14 23:35:00','2018-03-14 23:35:00',-1),(62,60,'','','Accidental Death','2018-03-13','2018-03-13','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:10:00','2018-03-15 00:10:00',-1),(63,60,'','','Accidental Death','2018-03-20','2018-03-20','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:10:00','2018-03-15 00:10:00',-1),(64,61,'','','Accidental Death','2018-03-13','2018-03-13','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:10:27','2018-03-15 00:10:27',-1),(65,61,'','','Accidental Death','2018-03-21','2018-03-21','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:10:27','2018-03-15 00:10:27',-1),(66,61,'','','Accidental Death','2018-03-22','2018-03-22','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:10:27','2018-03-15 00:10:27',-1),(67,63,'','','Accidental Death','2018-03-06','2018-03-06','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:14:19','2018-03-15 00:14:19',-1),(68,63,'','','Accidental Death','2018-03-12','2018-03-12','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:14:19','2018-03-15 00:14:19',-1),(69,63,'','','Accidental Death','2018-03-13','2018-03-13','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:14:19','2018-03-15 00:14:19',-1),(70,63,'','','Accidental Death','2018-03-14','2018-03-14','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:14:20','2018-03-15 00:14:20',-1),(71,63,'','','Accidental Death','2018-03-19','2018-03-19','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:14:20','2018-03-15 00:14:20',-1),(72,63,'','','Accidental Death','2018-03-26','2018-03-26','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:14:20','2018-03-15 00:14:20',-1),(73,64,'4,2','','Accidental Death','2018-03-06','2018-03-06','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:14:54','2018-03-15 00:14:54',-1),(74,64,'4,2','','Accidental Death','2018-03-12','2018-03-12','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:14:54','2018-03-15 00:14:54',-1),(75,64,'4,2','','Accidental Death','2018-03-13','2018-03-13','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:14:54','2018-03-15 01:11:35',-1),(76,64,'4,2','','Accidental Death','2018-03-14','2018-03-14','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:14:54','2018-03-15 00:14:54',-1),(77,64,'4,2','','Accidental Death','2018-03-19','2018-03-19','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:14:54','2018-03-15 00:14:54',-1),(78,64,'4,2','','Accidental Death','2018-03-26','2018-03-26','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:14:54','2018-03-15 00:14:54',-1),(79,66,'2,4,7','','Accidental Death','2018-03-13','2018-03-13','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:23:55','2018-03-15 00:23:55',-1),(80,66,'2,4,7','','Accidental Death','2018-03-14','2018-03-14','15:00:00','15:30:00',NULL,1,NULL,NULL,'2018-03-15 00:23:55','2018-03-15 00:23:55',-1),(81,68,'5','<NAME> - Accidental Death',NULL,'2018-03-14','2018-03-14','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-14 22:48:22','2018-03-14 22:48:22',-1),(82,69,'5','<NAME> - Accidental Death',NULL,'2018-03-14','2018-03-14','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-14 22:49:41','2018-03-14 22:49:41',-1),(83,70,NULL,'<NAME> - Accidental Death',NULL,'2018-03-14','2018-03-14','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-14 22:50:17','2018-03-14 22:50:17',-1),(93,72,'4,5','<NAME> - Description',NULL,'2018-03-16','2018-03-16','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-16 19:24:04','2018-03-16 19:24:04',-1),(94,71,'4,5,6','<NAME> - Description',NULL,'2018-03-20','2018-03-20','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-20 20:29:46','2018-03-20 20:29:46',-1),(95,71,'4,5,6','<NAME> - Description',NULL,'2018-03-21','2018-03-21','00:00:00','00:00:00',0,1,NULL,NULL,'2018-03-20 20:29:46','2018-03-31 17:05:00',-1),(96,71,'4,5','<NAME> - Description',NULL,'2018-03-22','2018-03-22','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-20 20:29:46','2018-03-20 20:29:46',-1),(97,73,'4,5,6','<NAME> - Description',NULL,'2018-03-29','2018-03-29','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-30 14:34:19','2018-03-30 14:34:19',-1),(98,73,'4,5,6','<NAME> - Description',NULL,'2018-03-30','2018-03-30','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-30 14:34:19','2018-03-30 14:34:19',-1),(99,73,'4,5,6','<NAME> - Description',NULL,'2018-03-31','2018-03-31','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-30 14:34:19','2018-03-30 14:34:19',-1),(100,73,'4,5,6','<NAME> - Description',NULL,'2018-04-01','2018-04-01','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-30 14:34:19','2018-03-30 14:34:19',-1),(101,73,'4,5,6','<NAME> - Description',NULL,'2018-04-02','2018-04-02','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-30 14:34:19','2018-03-30 14:34:19',-1),(102,73,'4,5,6','<NAME> - Description',NULL,'2018-04-03','2018-04-03','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-30 14:34:19','2018-03-30 14:34:19',-1),(103,73,'4,5,6','<NAME> - Description',NULL,'2018-04-04','2018-04-04','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-30 14:34:19','2018-03-30 14:34:19',-1),(104,73,'4,5,6','<NAME> - Description',NULL,'2018-04-05','2018-04-05','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-30 14:34:19','2018-03-30 14:34:19',-1),(105,73,'4,5,6','<NAME> - Description',NULL,'2018-04-06','2018-04-06','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-30 14:34:19','2018-03-30 14:34:19',-1),(106,74,NULL,'<NAME> - Description',NULL,'2018-03-29','2018-03-29','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-30 14:44:09','2018-03-30 14:44:09',-1),(107,74,NULL,'<NAME> - Description',NULL,'2018-03-30','2018-03-30','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-30 14:44:09','2018-03-30 14:44:09',-1),(108,74,NULL,'<NAME> - Description',NULL,'2018-03-31','2018-03-31','00:00:00','24:00:00',0,1,NULL,NULL,'2018-03-30 14:44:09','2018-03-30 14:44:09',-1);
/*Table structure for table `visits_services` */
DROP TABLE IF EXISTS `visits_services`;
CREATE TABLE `visits_services` (
`visit_service_id` int(11) NOT NULL AUTO_INCREMENT,
`visit_id` int(11) DEFAULT NULL,
`service_id` int(11) DEFAULT NULL,
`service_name` text,
`service_description` text,
`quantity` int(11) DEFAULT NULL,
`cost` double(10,2) DEFAULT NULL,
PRIMARY KEY (`visit_service_id`)
) ENGINE=InnoDB AUTO_INCREMENT=102 DEFAULT CHARSET=utf8;
/*Data for the table `visits_services` */
insert into `visits_services`(`visit_service_id`,`visit_id`,`service_id`,`service_name`,`service_description`,`quantity`,`cost`) values (39,52,NULL,NULL,NULL,1,0.00),(40,53,NULL,NULL,NULL,1,0.00),(41,54,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',0,100.00),(42,55,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',0,100.00),(43,56,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(44,56,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',1,200.00),(45,57,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(46,57,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',1,200.00),(47,58,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(48,58,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',1,200.00),(49,59,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(50,59,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',1,200.00),(51,60,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(52,60,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',1,200.00),(53,61,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(54,61,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',1,200.00),(55,62,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',10,100.00),(56,63,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',10,100.00),(57,64,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',10,100.00),(58,65,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',10,100.00),(59,66,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',10,100.00),(60,67,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00),(61,68,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00),(62,69,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00),(63,70,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00),(64,71,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00),(65,72,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00),(66,73,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00),(67,74,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00),(68,75,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00),(69,76,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00),(70,77,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00),(71,78,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',10,200.00),(72,79,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',10,100.00),(73,80,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',10,100.00),(74,81,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',1,200.00),(75,82,2,'Service 2','Service 2Service 2Service 2Service 2Service 2',1,200.00),(76,83,NULL,'Service 2',NULL,1,200.00),(86,93,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(87,94,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(88,95,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(89,96,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(90,97,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(91,98,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(92,99,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(93,100,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(94,101,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(95,102,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(96,103,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(97,104,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(98,105,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(99,106,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(100,107,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00),(101,108,1,'Service 1','Service 1Service 1Service 1Service 1Service 1Service 1',1,100.00);
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/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
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|
<reponame>DareDevil23/T-SQL<gh_stars>1-10
SELECT x.[Teacher Full Name], x.SubjectName, x.[Student Full Name], x.Grade
FROM (SELECT
CONCAT(t.FirstName, ' ', t.LastName) AS [Teacher Full Name],
sub.[Name] AS [SubjectName],
CONCAT(s.FirstName, ' ', s.LastName) AS [Student Full Name],
CAST(AVG(ss.Grade) AS DECIMAL(3,2)) AS [Grade],
ROW_NUMBER() OVER (PARTITION BY t.Id ORDER BY AVG(ss.Grade) DESC) AS [RowNum]
FROM Teachers AS t
JOIN StudentsTeachers AS st ON t.Id = st.TeacherId
JOIN Students AS s ON st.StudentId = s.Id
JOIN StudentsSubjects AS ss ON s.Id = ss.StudentId
JOIN Subjects AS sub ON ss.SubjectId = sub.Id AND sub.Id = t.SubjectId
GROUP BY t.Id, s.Id, t.FirstName, t.LastName, sub.[Name], s.FirstName, s.LastName) AS x
WHERE x.[RowNum] = 1
ORDER BY x.SubjectName ASC, x.[Teacher Full Name] ASC, x.[Grade] DESC
|
<reponame>chackoge/ERNIE_Plus
/* SQL scripts for generating person and author ID level datasets to compare with and recreate portions of the SummaryStatistics XLSX file*/
/* Create a table year_range if it does not exist. populate with year values that are usable for creation of a blank slate table in following queries*/
CREATE TABLE year_range(year INT);
INSERT INTO year_range VALUES (1995),(1996),(1997),(1998),(1999),(2000),(2001),(2002),(2003),(2004),(2005),(2006),(2007),(2008),(2009),(2010),(2011),(2012),(2013),(2014),(2015),(2016),(2017),(2018);
/* CCI GROUP AUTHOR ID LEVEL w/o Base Table */
COPY (
WITH award_author_documents AS
(
SELECT a.award_number,
a.author_id,
a.first_year,
b.scopus_id,
(SELECT c.publication_year FROM cci_s_documents_jeroen_updated c WHERE b.scopus_id=c.scopus_id) as publication_year,
(SELECT c.scopus_cited_by_count FROM cci_s_documents_jeroen_updated c WHERE b.scopus_id=c.scopus_id) as n_citations
FROM cci_s_author_search_results a
INNER JOIN cci_s_author_document_mappings b
ON a.author_id=b.author_id
INNER JOIN sl_sr_all_personel_and_comp d
ON a.author_id=d.author_id
WHERE a.award_number!='COMP'
),
author_pubs AS
(
SELECT DISTINCT b.given_name,b.surname,a.author_id,a.scopus_id,a.publication_year,a.n_citations
FROM award_author_documents a
INNER JOIN
cci_s_author_search_results b
ON a.author_id=b.author_id
),
valid_pubs AS
(
SELECT DISTINCT c.scopus_id,c.author_id,foo.award_number,foo.first_year
FROM cci_s_author_document_mappings c
INNER JOIN
(
SELECT author_id,a.award_number,a.first_year,CASE WHEN b.phase='I' THEN 3 ELSE 5 END AS duration
FROM cci_s_author_search_results a
LEFT JOIN cci_phase_awards b
ON a.award_number=b.award_number
) foo
ON c.author_id=foo.author_id
INNER JOIN cci_s_documents_jeroen_updated d
ON d.scopus_id=c.scopus_id
WHERE d.publication_year BETWEEN foo.first_year-5 AND foo.first_year + 12 -- REPLACING WITH 12 TO CAPTURE 10 YEAR SPAN POST AWARD FOR Summary statistics table foo.duration
),
base_table AS
(
SELECT DISTINCT a.surname,a.given_name,a.author_id,a.award_number,a.first_year,b.year,b.year-a.first_year AS award_year, 0 as publication_count, 0 as citation_sum
FROM cci_s_author_search_results a
INNER JOIN year_range b
ON b.year >= a.first_year-5 AND b.year <= a.first_year+12
WHERE a.author_id IN (SELECT author_id FROM sl_sr_all_personel_and_comp)
AND a.award_number!='COMP'
),
calculations AS
(
SELECT c.author_id,
d.award_number,
d.first_year,
c.publication_year - first_year as award_year,
c.publication_year,
count(distinct c.scopus_id) as publication_count,
sum(c.n_citations) as citation_sum,
sum(CASE WHEN foo.n_participants > 1 THEN 1 ELSE 0 END)::decimal/ count(distinct c.scopus_id) as perc_pubs_w_more_than_1_CCI
FROM
(
SELECT scopus_id,count(scopus_id) AS n_participants
FROM author_pubs
GROUP BY scopus_id
)foo
INNER JOIN author_pubs c
ON foo.scopus_id=c.scopus_id
INNER JOIN valid_pubs d
ON c.scopus_id=d.scopus_id
AND c.author_id=d.author_id
GROUP BY c.author_id,publication_year,d.award_number,d.first_year
)
SELECT * FROM calculations
) TO '/tmp/1A_CCI_author_id_year_level_data_before_during_after.csv' CSV HEADER;
/* CCI GROUP AUTHOR ID LEVEL w/ Base Table */
COPY(
WITH award_author_documents AS
(
SELECT a.award_number,
a.author_id,
a.first_year,
b.scopus_id,
(SELECT c.publication_year FROM cci_s_documents_jeroen_updated c WHERE b.scopus_id=c.scopus_id) as publication_year,
(SELECT c.scopus_cited_by_count FROM cci_s_documents_jeroen_updated c WHERE b.scopus_id=c.scopus_id) as n_citations
FROM cci_s_author_search_results a
INNER JOIN cci_s_author_document_mappings b
ON a.author_id=b.author_id
INNER JOIN sl_sr_all_personel_and_comp d
ON a.author_id=d.author_id
WHERE a.award_number!='COMP'
),
author_pubs AS
(
SELECT DISTINCT b.given_name,b.surname,a.author_id,a.scopus_id,a.publication_year,a.n_citations
FROM award_author_documents a
INNER JOIN
cci_s_author_search_results b
ON a.author_id=b.author_id
),
valid_pubs AS
(
SELECT DISTINCT c.scopus_id,c.author_id,foo.award_number,foo.first_year
FROM cci_s_author_document_mappings c
INNER JOIN
(
SELECT author_id,a.award_number,a.first_year,CASE WHEN b.phase='I' THEN 3 ELSE 5 END AS duration
FROM cci_s_author_search_results a
LEFT JOIN cci_phase_awards b
ON a.award_number=b.award_number
) foo
ON c.author_id=foo.author_id
INNER JOIN cci_s_documents_jeroen_updated d
ON d.scopus_id=c.scopus_id
WHERE d.publication_year BETWEEN foo.first_year-5 AND foo.first_year+ 12 -- REPLACING WITH 12 TO CAPTURE 10 YEAR SPAN POST AWARD FOR Summary statistics table foo.duration
),
base_table AS
(
SELECT DISTINCT a.surname,a.given_name,a.author_id,a.award_number,a.first_year,b.year,b.year-a.first_year AS award_year, 0 as publication_count, 0 as citation_sum
FROM cci_s_author_search_results a
INNER JOIN year_range b
ON b.year >= a.first_year-5 AND b.year <= a.first_year+12
WHERE a.author_id IN (SELECT author_id FROM sl_sr_all_personel_and_comp)
AND a.award_number!='COMP'
),
calculations AS
(
SELECT c.author_id,
d.award_number,
d.first_year,
c.publication_year - first_year as award_year,
c.publication_year,
count(c.scopus_id) as publication_count,
sum(c.n_citations) as citation_sum,
sum(CASE WHEN foo.n_participants > 1 THEN 1 ELSE 0 END)::decimal/ count(c.scopus_id) as perc_pubs_w_more_than_1_CCI
FROM
(
SELECT scopus_id,count(scopus_id) AS n_participants
FROM author_pubs
GROUP BY scopus_id
)foo
INNER JOIN author_pubs c
ON foo.scopus_id=c.scopus_id
INNER JOIN valid_pubs d
ON c.scopus_id=d.scopus_id
AND c.author_id=d.author_id
GROUP BY c.author_id,publication_year,d.award_number,d.first_year
)
SELECT
a.author_id,
a.award_number,
a.first_year,
a.award_year,
a.first_year+a.award_year as publication_year,
CASE WHEN b.publication_count IS NULL THEN a.publication_count ELSE b.publication_count END AS publication_count,
CASE WHEN b.citation_sum IS NULL THEN a.citation_sum ELSE b.citation_sum END AS citation_sum,
b.perc_pubs_w_more_than_1_CCI
FROM base_table a
LEFT JOIN calculations b
ON a.author_id=b.author_id AND a.award_number=b.award_number AND a.first_year=b.first_year AND a.award_year=b.award_year
) TO '/tmp/1A_CCI_author_id_year_level_data_before_during_after_w_background.csv' CSV HEADER;
/* CCI GROUP PERSON (surname+given_name) YEAR LEVEL w/ Base Table */
COPY(
WITH award_author_documents AS
(
SELECT a.award_number,
a.author_id,
a.first_year,
b.scopus_id,
(SELECT c.publication_year FROM cci_s_documents_jeroen_updated c WHERE b.scopus_id=c.scopus_id) as publication_year,
(SELECT c.scopus_cited_by_count FROM cci_s_documents_jeroen_updated c WHERE b.scopus_id=c.scopus_id) as n_citations
FROM cci_s_author_search_results a
INNER JOIN cci_s_author_document_mappings b
ON a.author_id=b.author_id
INNER JOIN sl_sr_all_personel_and_comp d
ON a.author_id=d.author_id
WHERE a.award_number!='COMP'
),
author_pubs AS
(
SELECT DISTINCT b.given_name,b.surname,a.author_id,a.scopus_id,a.publication_year,a.n_citations
FROM award_author_documents a
INNER JOIN
cci_s_author_search_results b
ON a.author_id=b.author_id
),
valid_pubs AS
(
SELECT DISTINCT c.scopus_id,c.author_id,foo.award_number,foo.first_year
FROM cci_s_author_document_mappings c
INNER JOIN
(
SELECT author_id,a.award_number,a.first_year,CASE WHEN b.phase='I' THEN 3 ELSE 5 END AS duration
FROM cci_s_author_search_results a
LEFT JOIN cci_phase_awards b
ON a.award_number=b.award_number
) foo
ON c.author_id=foo.author_id
INNER JOIN cci_s_documents_jeroen_updated d
ON d.scopus_id=c.scopus_id
WHERE d.publication_year BETWEEN foo.first_year-5 AND foo.first_year+12 -- REPLACING WITH 12 TO CAPTURE 10 YEAR SPAN POST AWARD FOR Summary statistics table foo.duration
),
base_table AS
(
SELECT DISTINCT a.surname,a.given_name,a.award_number,a.first_year,b.year,b.year-a.first_year AS award_year, 0 as publication_count, 0 as citation_sum
FROM cci_s_author_search_results a
INNER JOIN year_range b
ON b.year >= a.first_year-5 AND b.year <= a.first_year+12
WHERE a.author_id IN (SELECT author_id FROM sl_sr_all_personel_and_comp)
AND a.award_number!='COMP'
),
calculations AS
(
SELECT bar.given_name,
bar.surname,
bar.award_number,
bar.first_year,
bar.publication_year - first_year as award_year,
bar.publication_year,
count(distinct bar.scopus_id) as publication_count,
sum(bar.n_citations) as citation_sum,
sum(CASE WHEN foo.n_participants > 1 THEN 1 ELSE 0 END)::decimal/ count(distinct bar.scopus_id) as perc_pubs_w_more_than_1_CCI
FROM
(
SELECT scopus_id,count(scopus_id) AS n_participants
FROM (SELECT DISTINCT surname, given_name, scopus_id
FROM author_pubs) foo
GROUP BY scopus_id
)foo
INNER JOIN
(
SELECT DISTINCT c.given_name,c.surname,c.scopus_id,c.publication_year,c.n_citations,d.first_year,d.award_number
FROM author_pubs c
INNER JOIN valid_pubs d
ON c.scopus_id=d.scopus_id
AND c.author_id=d.author_id
) bar
ON foo.scopus_id=bar.scopus_id
GROUP BY given_name,surname,publication_year,award_number,first_year
ORDER BY surname,given_name,award_number,first_year,publication_year
)
SELECT
a.surname,
a.given_name,
a.award_number,
a.first_year,
a.award_year,
a.first_year+a.award_year as publication_year,
CASE WHEN b.publication_count IS NULL THEN a.publication_count ELSE b.publication_count END AS publication_count,
CASE WHEN b.citation_sum IS NULL THEN a.citation_sum ELSE b.citation_sum END AS citation_sum,
b.perc_pubs_w_more_than_1_CCI
FROM base_table a
LEFT JOIN calculations b
ON a.surname=b.surname AND a.given_name=b.given_name AND a.award_number=b.award_number AND a.first_year=b.first_year AND a.award_year=b.award_year
) TO '/tmp/1A_CCI_person_year_level_data_before_during_after_w_background.csv' CSV HEADER;
/* CCI GROUP PERSON (surname+given_name) YEAR LEVEL w/o Base Table */
COPY(
WITH award_author_documents AS
(
SELECT a.award_number,
a.author_id,
a.first_year,
b.scopus_id,
(SELECT c.publication_year FROM cci_s_documents_jeroen_updated c WHERE b.scopus_id=c.scopus_id) as publication_year,
(SELECT c.scopus_cited_by_count FROM cci_s_documents_jeroen_updated c WHERE b.scopus_id=c.scopus_id) as n_citations
FROM cci_s_author_search_results a
INNER JOIN cci_s_author_document_mappings b
ON a.author_id=b.author_id
INNER JOIN sl_sr_all_personel_and_comp d
ON a.author_id=d.author_id
WHERE a.award_number!='COMP'
),
author_pubs AS
(
SELECT DISTINCT b.given_name,b.surname,a.author_id,a.scopus_id,a.publication_year,a.n_citations
FROM award_author_documents a
INNER JOIN
cci_s_author_search_results b
ON a.author_id=b.author_id
),
valid_pubs AS
(
SELECT DISTINCT c.scopus_id,c.author_id,foo.award_number,foo.first_year
FROM cci_s_author_document_mappings c
INNER JOIN
(
SELECT author_id,a.award_number,a.first_year,CASE WHEN b.phase='I' THEN 3 ELSE 5 END AS duration
FROM cci_s_author_search_results a
LEFT JOIN cci_phase_awards b
ON a.award_number=b.award_number
) foo
ON c.author_id=foo.author_id
INNER JOIN cci_s_documents_jeroen_updated d
ON d.scopus_id=c.scopus_id
WHERE d.publication_year BETWEEN foo.first_year-5 AND foo.first_year+12 -- REPLACING WITH 12 TO CAPTURE 10 YEAR SPAN POST AWARD FOR Summary statistics table foo.duration
),
base_table AS
(
SELECT DISTINCT a.surname,a.given_name,a.award_number,a.first_year,b.year,b.year-a.first_year AS award_year, 0 as publication_count, 0 as citation_sum
FROM cci_s_author_search_results a
INNER JOIN year_range b
ON b.year >= a.first_year-5 AND b.year <= a.first_year+12
WHERE a.author_id IN (SELECT author_id FROM sl_sr_all_personel_and_comp)
AND a.award_number!='COMP'
),
calculations AS
(
SELECT bar.given_name,
bar.surname,
bar.award_number,
bar.first_year,
bar.publication_year - first_year as award_year,
bar.publication_year,
count(distinct bar.scopus_id) as publication_count,
sum(bar.n_citations) as citation_sum,
sum(CASE WHEN foo.n_participants > 1 THEN 1 ELSE 0 END)::decimal/ count(distinct bar.scopus_id) as perc_pubs_w_more_than_1_CCI
FROM
(
SELECT scopus_id,count(scopus_id) AS n_participants
FROM (SELECT DISTINCT surname, given_name, scopus_id
FROM author_pubs) foo
GROUP BY scopus_id
)foo
INNER JOIN
(
SELECT DISTINCT c.given_name,c.surname,c.scopus_id,c.publication_year,c.n_citations,d.first_year,d.award_number
FROM author_pubs c
INNER JOIN valid_pubs d
ON c.scopus_id=d.scopus_id
AND c.author_id=d.author_id
) bar
ON foo.scopus_id=bar.scopus_id
GROUP BY given_name,surname,publication_year,award_number,first_year
ORDER BY surname,given_name,award_number,first_year,publication_year
)
SELECT * FROM calculations
) TO '/tmp/1A_CCI_person_year_level_data_before_during_after.csv' CSV HEADER;
/* COMP GROUP AUTHOR ID LEVEL w/o Base Table */
COPY(
WITH award_author_documents AS
(
SELECT a.award_number,
a.author_id,
a.first_year,
b.scopus_id,
(SELECT c.publication_year FROM cci_s_documents_jeroen_updated c WHERE b.scopus_id=c.scopus_id) as publication_year,
(SELECT c.scopus_cited_by_count FROM cci_s_documents_jeroen_updated c WHERE b.scopus_id=c.scopus_id) as n_citations
FROM cci_s_author_search_results a
INNER JOIN cci_s_author_document_mappings b
ON a.author_id=b.author_id
INNER JOIN sl_sr_all_personel_and_comp d
ON a.author_id=d.author_id
WHERE a.award_number='COMP'
),
author_pubs AS
(
SELECT DISTINCT b.given_name,b.surname,a.author_id,a.scopus_id,a.publication_year,a.n_citations
FROM award_author_documents a
INNER JOIN
cci_s_author_search_results b
ON a.author_id=b.author_id
),
valid_pubs AS
(
SELECT DISTINCT c.scopus_id,c.author_id,foo.award_number,foo.first_year
FROM cci_s_author_document_mappings c
INNER JOIN
(
SELECT author_id,a.award_number,a.first_year,CASE WHEN b.phase='I' THEN 3 ELSE 5 END AS duration
FROM cci_s_author_search_results a
LEFT JOIN cci_phase_awards b
ON a.award_number=b.award_number
) foo
ON c.author_id=foo.author_id
INNER JOIN cci_s_documents_jeroen_updated d
ON d.scopus_id=c.scopus_id
WHERE d.publication_year BETWEEN foo.first_year-5 AND foo.first_year + 12 -- REPLACING WITH 12 TO CAPTURE 10 YEAR SPAN POST AWARD FOR Summary statistics table foo.duration
),
base_table AS
(
SELECT DISTINCT a.surname,a.given_name,a.author_id,a.award_number,a.first_year,b.year,b.year-a.first_year AS award_year, 0 as publication_count, 0 as citation_sum
FROM cci_s_author_search_results a
INNER JOIN year_range b
ON b.year >= a.first_year-5 AND b.year <= a.first_year+12
WHERE a.author_id IN (SELECT author_id FROM sl_sr_all_personel_and_comp)
AND a.award_number='COMP'
),
calculations AS
(
SELECT c.author_id,
d.award_number,
d.first_year,
c.publication_year - first_year as award_year,
c.publication_year,
count(distinct c.scopus_id) as publication_count,
sum(c.n_citations) as citation_sum
FROM
author_pubs c
INNER JOIN valid_pubs d
ON c.scopus_id=d.scopus_id
AND c.author_id=d.author_id
GROUP BY c.author_id,publication_year,d.award_number,d.first_year
)
SELECT * FROM calculations
) TO '/tmp/1A_COMP_author_id_year_level_data_before_during_after.csv' CSV HEADER;
/* COMP GROUP AUTHOR ID LEVEL w/ Base Table */
COPY(
WITH award_author_documents AS
(
SELECT a.award_number,
a.author_id,
a.first_year,
b.scopus_id,
(SELECT c.publication_year FROM cci_s_documents_jeroen_updated c WHERE b.scopus_id=c.scopus_id) as publication_year,
(SELECT c.scopus_cited_by_count FROM cci_s_documents_jeroen_updated c WHERE b.scopus_id=c.scopus_id) as n_citations
FROM cci_s_author_search_results a
INNER JOIN cci_s_author_document_mappings b
ON a.author_id=b.author_id
INNER JOIN sl_sr_all_personel_and_comp d
ON a.author_id=d.author_id
WHERE a.award_number='COMP'
),
author_pubs AS
(
SELECT DISTINCT b.given_name,b.surname,a.author_id,a.scopus_id,a.publication_year,a.n_citations
FROM award_author_documents a
INNER JOIN
cci_s_author_search_results b
ON a.author_id=b.author_id
),
valid_pubs AS
(
SELECT DISTINCT c.scopus_id,c.author_id,foo.award_number,foo.first_year
FROM cci_s_author_document_mappings c
INNER JOIN
(
SELECT author_id,a.award_number,a.first_year,CASE WHEN b.phase='I' THEN 3 ELSE 5 END AS duration
FROM cci_s_author_search_results a
LEFT JOIN cci_phase_awards b
ON a.award_number=b.award_number
) foo
ON c.author_id=foo.author_id
INNER JOIN cci_s_documents_jeroen_updated d
ON d.scopus_id=c.scopus_id
WHERE d.publication_year BETWEEN foo.first_year-5 AND foo.first_year+ 12 -- REPLACING WITH 12 TO CAPTURE 10 YEAR SPAN POST AWARD FOR Summary statistics table foo.duration
),
base_table AS
(
SELECT DISTINCT a.surname,a.given_name,a.author_id,a.award_number,a.first_year,b.year,b.year-a.first_year AS award_year, 0 as publication_count, 0 as citation_sum
FROM cci_s_author_search_results a
INNER JOIN year_range b
ON b.year >= a.first_year-5 AND b.year <= a.first_year+12
WHERE a.author_id IN (SELECT author_id FROM sl_sr_all_personel_and_comp)
AND a.award_number='COMP'
),
calculations AS
(
SELECT c.author_id,
d.award_number,
d.first_year,
c.publication_year - first_year as award_year,
c.publication_year,
count(c.scopus_id) as publication_count,
sum(c.n_citations) as citation_sum
FROM
author_pubs c
INNER JOIN valid_pubs d
ON c.scopus_id=d.scopus_id
AND c.author_id=d.author_id
GROUP BY c.author_id,publication_year,d.award_number,d.first_year
)
SELECT
a.author_id,
a.award_number,
a.first_year,
a.award_year,
a.first_year+a.award_year as publication_year,
CASE WHEN b.publication_count IS NULL THEN a.publication_count ELSE b.publication_count END AS publication_count,
CASE WHEN b.citation_sum IS NULL THEN a.citation_sum ELSE b.citation_sum END AS citation_sum
FROM base_table a
LEFT JOIN calculations b
ON a.author_id=b.author_id AND a.award_number=b.award_number AND a.first_year=b.first_year AND a.award_year=b.award_year
) TO '/tmp/1A_COMP_author_id_year_level_data_before_during_after_w_background.csv' CSV HEADER;
/* COMP GROUP PERSON (surname+given_name) YEAR LEVEL w/ Base Table */
COPY(
WITH award_author_documents AS
(
SELECT a.award_number,
a.author_id,
a.first_year,
b.scopus_id,
(SELECT c.publication_year FROM cci_s_documents_jeroen_updated c WHERE b.scopus_id=c.scopus_id) as publication_year,
(SELECT c.scopus_cited_by_count FROM cci_s_documents_jeroen_updated c WHERE b.scopus_id=c.scopus_id) as n_citations
FROM cci_s_author_search_results a
INNER JOIN cci_s_author_document_mappings b
ON a.author_id=b.author_id
INNER JOIN sl_sr_all_personel_and_comp d
ON a.author_id=d.author_id
WHERE a.award_number='COMP'
),
author_pubs AS
(
SELECT DISTINCT b.given_name,b.surname,a.author_id,a.scopus_id,a.publication_year,a.n_citations
FROM award_author_documents a
INNER JOIN
cci_s_author_search_results b
ON a.author_id=b.author_id
),
valid_pubs AS
(
SELECT DISTINCT c.scopus_id,c.author_id,foo.award_number,foo.first_year
FROM cci_s_author_document_mappings c
INNER JOIN
(
SELECT author_id,a.award_number,a.first_year,CASE WHEN b.phase='I' THEN 3 ELSE 5 END AS duration
FROM cci_s_author_search_results a
LEFT JOIN cci_phase_awards b
ON a.award_number=b.award_number
) foo
ON c.author_id=foo.author_id
INNER JOIN cci_s_documents_jeroen_updated d
ON d.scopus_id=c.scopus_id
WHERE d.publication_year BETWEEN foo.first_year-5 AND foo.first_year+12 -- REPLACING WITH 12 TO CAPTURE 10 YEAR SPAN POST AWARD FOR Summary statistics table foo.duration
),
base_table AS
(
SELECT DISTINCT a.surname,a.given_name,a.award_number,a.first_year,b.year,b.year-a.first_year AS award_year, 0 as publication_count, 0 as citation_sum
FROM cci_s_author_search_results a
INNER JOIN year_range b
ON b.year >= a.first_year-5 AND b.year <= a.first_year+12
WHERE a.author_id IN (SELECT author_id FROM sl_sr_all_personel_and_comp)
AND a.award_number='COMP'
),
calculations AS
(
SELECT bar.given_name,
bar.surname,
bar.award_number,
bar.first_year,
bar.publication_year - first_year as award_year,
bar.publication_year,
count(distinct bar.scopus_id) as publication_count,
sum(bar.n_citations) as citation_sum
FROM
(
SELECT DISTINCT c.given_name,c.surname,c.scopus_id,c.publication_year,c.n_citations,d.first_year,d.award_number
FROM author_pubs c
INNER JOIN valid_pubs d
ON c.scopus_id=d.scopus_id
AND c.author_id=d.author_id
) bar
GROUP BY given_name,surname,publication_year,award_number,first_year
ORDER BY surname,given_name,award_number,first_year,publication_year
)
SELECT
a.surname,
a.given_name,
a.award_number,
a.first_year,
a.award_year,
a.first_year+a.award_year as publication_year,
CASE WHEN b.publication_count IS NULL THEN a.publication_count ELSE b.publication_count END AS publication_count,
CASE WHEN b.citation_sum IS NULL THEN a.citation_sum ELSE b.citation_sum END AS citation_sum
FROM base_table a
LEFT JOIN calculations b
ON a.surname=b.surname AND a.given_name=b.given_name AND a.award_number=b.award_number AND a.first_year=b.first_year AND a.award_year=b.award_year
) TO '/tmp/1A_COMP_person_year_level_data_before_during_after_w_background.csv' CSV HEADER;
/* COMP GROUP PERSON (surname+given_name) YEAR LEVEL w/o Base Table */
COPY(
WITH award_author_documents AS
(
SELECT a.award_number,
a.author_id,
a.first_year,
b.scopus_id,
(SELECT c.publication_year FROM cci_s_documents_jeroen_updated c WHERE b.scopus_id=c.scopus_id) as publication_year,
(SELECT c.scopus_cited_by_count FROM cci_s_documents_jeroen_updated c WHERE b.scopus_id=c.scopus_id) as n_citations
FROM cci_s_author_search_results a
INNER JOIN cci_s_author_document_mappings b
ON a.author_id=b.author_id
INNER JOIN sl_sr_all_personel_and_comp d
ON a.author_id=d.author_id
WHERE a.award_number='COMP'
),
author_pubs AS
(
SELECT DISTINCT b.given_name,b.surname,a.author_id,a.scopus_id,a.publication_year,a.n_citations
FROM award_author_documents a
INNER JOIN
cci_s_author_search_results b
ON a.author_id=b.author_id
),
valid_pubs AS
(
SELECT DISTINCT c.scopus_id,c.author_id,foo.award_number,foo.first_year
FROM cci_s_author_document_mappings c
INNER JOIN
(
SELECT author_id,a.award_number,a.first_year,CASE WHEN b.phase='I' THEN 3 ELSE 5 END AS duration
FROM cci_s_author_search_results a
LEFT JOIN cci_phase_awards b
ON a.award_number=b.award_number
) foo
ON c.author_id=foo.author_id
INNER JOIN cci_s_documents_jeroen_updated d
ON d.scopus_id=c.scopus_id
WHERE d.publication_year BETWEEN foo.first_year-5 AND foo.first_year+12 -- REPLACING WITH 12 TO CAPTURE 10 YEAR SPAN POST AWARD FOR Summary statistics table foo.duration
),
base_table AS
(
SELECT DISTINCT a.surname,a.given_name,a.award_number,a.first_year,b.year,b.year-a.first_year AS award_year, 0 as publication_count, 0 as citation_sum
FROM cci_s_author_search_results a
INNER JOIN year_range b
ON b.year >= a.first_year-5 AND b.year <= a.first_year+12
WHERE a.author_id IN (SELECT author_id FROM sl_sr_all_personel_and_comp)
AND a.award_number='COMP'
),
calculations AS
(
SELECT bar.given_name,
bar.surname,
bar.award_number,
bar.first_year,
bar.publication_year - first_year as award_year,
bar.publication_year,
count(distinct bar.scopus_id) as publication_count,
sum(bar.n_citations) as citation_sum
FROM
(
SELECT DISTINCT c.given_name,c.surname,c.scopus_id,c.publication_year,c.n_citations,d.first_year,d.award_number
FROM author_pubs c
INNER JOIN valid_pubs d
ON c.scopus_id=d.scopus_id
AND c.author_id=d.author_id
) bar
GROUP BY given_name,surname,publication_year,award_number,first_year
ORDER BY surname,given_name,award_number,first_year,publication_year
)
SELECT * FROM calculations
) TO '/tmp/1A_COMP_person_year_level_data_before_during_after.csv' CSV HEADER;
|
<gh_stars>1-10
DROP FUNCTION IF EXISTS dbo.fn_OrdersPerCustomer;
GO
CREATE FUNCTION dbo.fn_OrdersPerCustomer (@BusinessEntityId int,@CustomerId int)
RETURNS @output TABLE (ProducName nvarchar(100),TotalQuantity int, TotalPrice decimal(18,2))
AS
BEGIN
INSERT INTO @output
SELECT p.Name as ProductName, sum(d.Quantity) as TotalQuantity, sum(d.Quantity*d.Price) as TotalPrice
FROM dbo.[Order] o
inner join dbo.OrderDetails d on o.Id = d.OrderId
inner join dbo.Product p on p.id = d.ProductId
WHERE o.BusinessEntityId = @BusinessEntityId
and o.CustomerId = @CustomerId
GROUP BY p.name
ORDER BY TotalQuantity
RETURN
END
GO
-- Execution
declare @BusinessEntityId int = 1
declare @CustomerId int = 4
select * from dbo.fn_OrdersPerCustomer (@BusinessEntityId,@CustomerId)
|
<filename>src/main/resources/db/migration/data/R__3_11__STAFF_LOCATION_ROLES.sql<gh_stars>1-10
INSERT INTO STAFF_LOCATION_ROLES (CAL_AGY_LOC_ID, SAC_STAFF_ID, FROM_DATE, TO_DATE, POSITION, ROLE, SCHEDULE_TYPE, HOURS_PER_WEEK) VALUES ('LEI', -2, TO_DATE('2016-08-08','YYYY-MM-DD'), NULL, 'AO', 'OS', 'FT', 9);
INSERT INTO STAFF_LOCATION_ROLES (CAL_AGY_LOC_ID, SAC_STAFF_ID, FROM_DATE, TO_DATE, POSITION, ROLE, SCHEDULE_TYPE, HOURS_PER_WEEK) VALUES ('LEI', -2, TO_DATE('2016-08-08','YYYY-MM-DD'), TO_DATE('2017-12-08','YYYY-MM-DD'), 'AO', 'KW', 'FT', 9);
INSERT INTO STAFF_LOCATION_ROLES (CAL_AGY_LOC_ID, SAC_STAFF_ID, FROM_DATE, TO_DATE, POSITION, ROLE, SCHEDULE_TYPE, HOURS_PER_WEEK) VALUES ('LEI', -2, SYSDATE + INTERVAL '2' DAY, NULL, 'AO', 'KW', 'FT', 9);
INSERT INTO STAFF_LOCATION_ROLES (CAL_AGY_LOC_ID, SAC_STAFF_ID, FROM_DATE, TO_DATE, POSITION, ROLE, SCHEDULE_TYPE, HOURS_PER_WEEK) VALUES ('LEI', -2, TO_DATE('2016-08-08','YYYY-MM-DD'), NULL, 'PRO', 'OS', 'FT', 7);
INSERT INTO STAFF_LOCATION_ROLES (CAL_AGY_LOC_ID, SAC_STAFF_ID, FROM_DATE, TO_DATE, POSITION, ROLE, SCHEDULE_TYPE, HOURS_PER_WEEK) VALUES ('BXI', -2, TO_DATE('2016-08-08','YYYY-MM-DD'), NULL, 'PRO', 'KW', 'FT', 7);
INSERT INTO STAFF_LOCATION_ROLES (CAL_AGY_LOC_ID, SAC_STAFF_ID, FROM_DATE, TO_DATE, POSITION, ROLE, SCHEDULE_TYPE, HOURS_PER_WEEK) VALUES ('BXI', -2, TO_DATE('2016-08-08','YYYY-MM-DD'), NULL, 'AO', 'KW', 'FT', 2);
INSERT INTO STAFF_LOCATION_ROLES (CAL_AGY_LOC_ID, SAC_STAFF_ID, FROM_DATE, TO_DATE, POSITION, ROLE, SCHEDULE_TYPE, HOURS_PER_WEEK) VALUES ('LEI', -4, TO_DATE('2016-08-08','YYYY-MM-DD'), NULL, 'AO', 'KW', 'FT', 6);
INSERT INTO STAFF_LOCATION_ROLES (CAL_AGY_LOC_ID, SAC_STAFF_ID, FROM_DATE, TO_DATE, POSITION, ROLE, SCHEDULE_TYPE, HOURS_PER_WEEK) VALUES ('LEI', -1, TO_DATE('2016-08-08','YYYY-MM-DD'), NULL, 'PRO', 'KW', 'FT', 6);
INSERT INTO STAFF_LOCATION_ROLES (CAL_AGY_LOC_ID, SAC_STAFF_ID, FROM_DATE, TO_DATE, POSITION, ROLE, SCHEDULE_TYPE, HOURS_PER_WEEK) VALUES ('WAI', -8, TO_DATE('2018-01-02','YYYY-MM-DD'), NULL, 'AO', 'KW', 'FT', 11);
INSERT INTO STAFF_LOCATION_ROLES (CAL_AGY_LOC_ID, SAC_STAFF_ID, FROM_DATE, TO_DATE, POSITION, ROLE, SCHEDULE_TYPE, HOURS_PER_WEEK) VALUES ('SYI', -9, TO_DATE('2018-01-02','YYYY-MM-DD'), NULL, 'AO', 'KW', 'FT', 11);
INSERT INTO STAFF_LOCATION_ROLES (CAL_AGY_LOC_ID, SAC_STAFF_ID, FROM_DATE, TO_DATE, POSITION, ROLE, SCHEDULE_TYPE, HOURS_PER_WEEK) VALUES ('SYI', -10, TO_DATE('2018-01-02','YYYY-MM-DD'), NULL, 'AO', 'KW', 'FT', 11);
INSERT INTO STAFF_LOCATION_ROLES (CAL_AGY_LOC_ID, SAC_STAFF_ID, FROM_DATE, TO_DATE, POSITION, ROLE, SCHEDULE_TYPE, HOURS_PER_WEEK) VALUES ('LEI', -11, TO_DATE('2018-01-02','YYYY-MM-DD'), NULL, 'AO', 'KW', 'FT', 6);
INSERT INTO STAFF_LOCATION_ROLES (CAL_AGY_LOC_ID, SAC_STAFF_ID, FROM_DATE, TO_DATE, POSITION, ROLE, SCHEDULE_TYPE, HOURS_PER_WEEK) VALUES ('LEI', -12, TO_DATE('2018-01-02','YYYY-MM-DD'), NULL, 'AO', 'KW', 'FT', 6);
|
<reponame>Frirhos-he/Introduction_to_Databases_Exams_2020_2021<gh_stars>0
EXERCISE1
A. projection: E.CodI, Name
B. theta-join: E.CodI = CE.CodI
C. INGEGNERE E
D. theta-join: A1.CodI = A2.CodI AND A1.CodA != a2.CodA
E. natural join
F. natural join
G. selection: TipologiaAzione = 'media impresa'
H. Consulenza-effettuata CEI
I. Azienda A1
L. selection: TipologiaAzienda = 'media impresa'
M. Azienda A2
N. Consulenza_effettuata CE2
EXERCISE2
SELECT NameI, COUNT(*)
FROM INGEGNERE E, CONSULENZE_EFFETTUATE CE
WHERE E.Città = 'Torino' AND E.CodI NOT IN (SELECT E1.CodI
FROM SETTORE S, CONSULENZE_EFFETTUATE CE
WHERE S.CodS= CE.CodS AND NomeSettore = 'Edilizia')
EXERCISE3
SELECT NomeA, NomeI
FROM AZIENDA A, INGEGNERE E, CONSULENZA_EFFETTUATA
WHERE EC1.CodT = E.CodI AND A.CodA= EC1.CodA
GROUPING BY NomeA, NomeI, E.CodI, A.CodA
HAVING COUNT(*) BLOCK B
BLOCK B
SELECT MAX(*)
FROM BLOCK A
WHERE A.ACode = Tablenum.ACode
BLOCK A
(SELECT E.CodI, E.CodA, COUNT(*) AS Num
FROM Consulenza_effettuate CE
WHERE Data = 2013
GROUPING BY ECodI, ECodA) AS Tablenum
ENTITY: BABY_PARKING
InternalIdentified: Nome
Attribute: indirizzo, indicazione
BINARY_RELATIONSHIP DISPONIBILE
BABY_PARKING(1,N) SALE(1,1)
ENTITY: SALE
InternalIdentifier: Codice
ForeignKey: Name
Attribute; NomeSala, dimensione
BINARY_RELATIONSHIP ORGANIZZANO
BABY_PARKING(0,N) ATTIVITA'(1,1)
ENTITY ATTIVITA'
InternalIdentifier: ACode
ForeignKey: Codice
Attribute; nomeAttivit, etaminima, etamassima
GENERALIZATION (p,e)
ParentEntity: Attività
ChildrenEntity: Laboratori
Attribute: tipologia, oggetti(0,N), Luogo
ENTITY: DIPENDENTI
PrimaryKey: CodiceFiscale
Attribute: Nome, DataDiNascita, cellulare, email(0,1)
GENERALIZATION (t,e)
Parent-entity: DIPENDENTI
ChildrenEntity: Educatori
Attribute: TitolodiStato
ChildreEntity: Personale_Ausiliario
ChildrenEntity: Amministratitvi
Attribute: mansione
BINARY-RELATIONSHIP PRESTA
PERSONALE_AUSILIARIO(0,N) WEEK(1,N)
ENTITY: WEEK
PrimaryKey: Giorno
ENTITY: BAMBINO
PrimaryKey: CodiceFiscale
Attribute: name, dataDiNasciata, recapiti(1,N)
BINARY-RELATIONSHIP: EFFETTUA
BAMBINO(1,N) ISCRIZIONE (1,1)
ENTITY: ISCRIZIONE
PrimaryKey: NumeroProgressivo, Anno
BINARY-RELATIONSHIP DOVE
ISCRIZIONE(1,1) BabyParking(0,N)
BINARY RELATIONSHIP COORDINARE
EDUCATORE(0,N) PROGRAMMA(1,1)
ENTITY: PROGRAMMA
PrimaryKey: OraInizio, Data
Attribute: oraFine, Elenco(1,N)
ForeignKey: CodiceFiscale(DIPENDENTE)
BINARY-RELATIONSHIP TEMPO
TIME(1,N) PROGRAMMA (1,N)
BABYPARKING(Nome_, Indirizzo, indicazione)
SALE(Codice_, Nome, NomeSala, dimensione)
ATTIVITA'(ACode_, Nome, nomeAttività, etàminima, etàmassima)
LABORATORI(ACode_, tipologia, Luogo)
USA(Oggetto,_ ACode_)
OGGETTO(Oggetto_)
DIPENDENTI(CodiceFiscale_, Nome, datadiNascita, cellulare, email(0,1))
EDUCATORI(CodiceFfiscale_, titolodiStudio)
PERSONALE_AUSILIARIO(CodiceFiscale_)
AMMINISTRATIVI(CodiceFiscale_, mansione)
PRESTA(CodiceFIscale_, week_)
BAMBINO(CodiceFiscale_, nome, datadinascita)
RECAPITI(CodiceFiscale_, reapity_)
ISCRIZIONE(NumeroProgressivo_, Anno_, CodiceFiscaleNome)
PROGRAMMA(CodiceFiscale_, Data_, OraInizio_, oraFino)
HA(SSN_, Data_, OraInizio_, CodiceFiscale_)
|
-- phpMyAdmin SQL Dump
-- version 4.6.4
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Aug 24, 2017 at 05:34 AM
-- Server version: 5.7.14
-- PHP Version: 5.6.25
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `repeatproject`
--
-- --------------------------------------------------------
--
-- Table structure for table `notes`
--
CREATE TABLE `notes` (
`username` varchar(25) NOT NULL,
`title` varchar(160) NOT NULL,
`text` varchar(4000) NOT NULL,
`visibility` tinyint(1) NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
--
-- Dumping data for table `notes`
--
INSERT INTO `notes` (`username`, `title`, `text`, `visibility`) VALUES
('Msmith', 'Panthers', 'Smith 2', 1),
('Msmith', 'Saints', 'Smith 1', 0),
('Jgrant', 'Charger', 'Grant 2', 1),
('Jgrant', 'Mustang', 'Grant 1', 0),
('Rstark', 'Ford', 'Stark 2', 1),
('Rstark', 'Mercedes', 'Stark 1', 0),
('Starly', 'Windows', 'Tarly 2', 1),
('Starly', 'Mac', 'Tarly 1', 0),
('Mjoseph', 'Xbox', 'Joseph 2', 1),
('Mjoseph', 'Playstation', 'Joseph 1', 0),
('Ldavis', 'French', '<NAME>', 1),
('Ldavis', 'Germans', '<NAME>', 0),
('Fgrant', 'Dad', 'Gleeson 2', 1),
('Fgrant', 'Mom', 'Gleeson 1', 0),
('Lmccaw', 'Silver', 'McCaw 2', 1),
('Lmccaw', 'Gold', 'McCaw 1', 0),
('Sdent', 'Golf', '<NAME>', 1),
('Sdent', 'Tennis', 'Dent 1', 0),
('Scooter', 'Soccer', 'Cooter 2', 1),
('Scooter', 'Football', 'Cooter 1', 0),
('Mlenon', 'Out', 'Lenon 2', 1),
('Mlenon', 'Inside', '<NAME>', 0),
('Pkent', 'Down', 'Kent 2', 1),
('Pkent', 'Up', 'Kent 1', 0),
('Dkiely', 'Chile', 'Kiely 2', 1),
('Dkiely', 'America', 'Kiely 1', 0),
('Swright', 'Wishlist', 'Wright 2', 1),
('Swright', 'Denim', 'Wright 1', 0),
('Grandles', 'Denver', 'Randles 2', 1),
('Grandles', 'NewYork', 'Randles 1', 0);
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`username` varchar(25) NOT NULL,
`firstname` varchar(16) NOT NULL,
`lastname` varchar(26) NOT NULL,
`email` varchar(256) NOT NULL,
`password` varchar(20) NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
--
-- Dumping data for table `users`
--
INSERT INTO `users` (`username`, `firstname`, `lastname`, `email`, `password`) VALUES
('Dkiely', 'David', 'Kiely', '<EMAIL>', 'Apple123'),
('Grandles', 'Gavin', 'Randles', '<EMAIL>', 'Apple123'),
('Swright', 'Sean', 'Wright', '<EMAIL>', 'Apple123'),
('Pkent', 'Patrick', 'Kent', '<EMAIL>', 'Apple123'),
('Mlenon', 'Mike', 'Lenon', '<EMAIL>', 'Apple123'),
('Scooter', 'Shane', 'Cooter', '<EMAIL>', 'Apple123'),
('Sdent', 'Sarah', 'Dent', '<EMAIL>', 'Apple123'),
('Lmccaw', 'Lucy', 'McCaw', '<EMAIL>', 'Apple123'),
('Fgrant', 'Finn', 'Gleeson', '<EMAIL>', 'Apple123'),
('Ldavis', 'Larry', 'Davis', '<EMAIL>', 'Apple123'),
('Mjoseph', 'Morgan', 'Joseph', '<EMAIL>', 'Apple123'),
('Starly', 'Sam', 'Tarly', '<EMAIL>', 'Apple123'),
('Rstark', 'Robert', 'Stark', '<EMAIL>', 'Apple123'),
('Jgrant', 'John', 'Grant', '<EMAIL>', 'Apple123'),
('Msmith', 'Mary', 'Smith', '<EMAIL>', 'Apple123');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `notes`
--
ALTER TABLE `notes`
ADD PRIMARY KEY (`title`),
ADD KEY `username` (`username`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`username`);
/*!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
create database if not exists ri_memcached_plugin;
create table if not exists ri_memcached_plugin.mc_container (
mc_key varchar(64) PRIMARY KEY NOT NULL,
mc_value varchar(1024) NOT NULL
) engine=innodb;
commit;
update innodb_memcache.containers
set name = concat("default_", db_table)
where name = "default";
insert into innodb_memcache.containers
(name, db_schema, db_table, key_columns, value_columns,
flags, cas_column, expire_time_column,
unique_idx_name_on_key)
values
('default', 'ri_memcached_plugin', 'mc_container', 'mc_key', 'mc_value',
'notUsed', 'notUsed', 'notUsed',
'PRIMARY');
commit;
|
<reponame>Speedie007/Intergrator<gh_stars>0
CREATE TABLE [dbo].[CompanyRepresentiveBranches] (
[CompanyRepresentiveBranchID] INT IDENTITY (1, 1) NOT NULL,
[CompanyBranchID] INT NOT NULL,
[CompanyRepresentativeID] INT NOT NULL,
CONSTRAINT [PK_CompanyRepresentiveBranches] PRIMARY KEY CLUSTERED ([CompanyRepresentiveBranchID] ASC),
CONSTRAINT [FK_CompnayRepresentiveBanches_CompanyBranches] FOREIGN KEY ([CompanyBranchID]) REFERENCES [dbo].[CompanyBranches] ([CompanyBranchID]),
CONSTRAINT [FK_CompnayRepresentiveBanches_CompanyRepresentatives] FOREIGN KEY ([CompanyRepresentativeID]) REFERENCES [dbo].[CompanyRepresentatives] ([CompanyRepresentativeID])
);
GO
CREATE NONCLUSTERED INDEX [IX_CompanyRepresentiveBranches_CompanyRepresentativeID]
ON [dbo].[CompanyRepresentiveBranches]([CompanyRepresentativeID] ASC);
GO
CREATE NONCLUSTERED INDEX [IX_CompanyRepresentiveBranches_CompanyBranchID]
ON [dbo].[CompanyRepresentiveBranches]([CompanyBranchID] ASC);
|
<reponame>ridgebacknet/ridgeback-hunter-db<gh_stars>1-10
/*
= ip-called-decoy.sql
Select all endpoints contacting a decoy on a specific IP address.
== Copyright
Copyright (C)2018 Ridgeback Network Defense, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
== Sample Usage
sqlite3 /var/opt/ridgeback/ridgeback.db < ip-called-decoy.sql
== Output Format
SRC_IP|SRC_MAC|DST_IP|PROTO|PORT|REVIEW_TIME|COUNT
SRC_IP:: host IP address contacting decoy
SRC_MAC:: host MAC address contacting decoy
DST_IP:: IP address of decoy
PROTO:: protocol
PORT:: destination port, if applicable
REVIEW_TIME:: time reviewed (Unix epoch time), if applicable
COUNT:: times decoy contacted
== Sample Output
010.000.000.004|b8:2a:72:00:00:04|010.000.000.035|tcp|7|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.035|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.036|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.042|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.049|tcp|7|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.053|tcp|7|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.055|tcp|12206|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.062|tcp|7164|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.062|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.063|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.072|tcp|7884|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.074|tcp|7|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.085|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.092|tcp|4515|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.094|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.106|tcp|7|1515011348|2
010.000.000.004|b8:2a:72:00:00:04|010.000.000.112|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.115|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.119|tcp|6273|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.122|tcp|7|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.131|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.134|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.135|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.137|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.138|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.142|tcp|7|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.143|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.159|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.168|tcp|29097|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.173|tcp|27562|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.175|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.176|tcp|7|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.184|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.186|tcp|7|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.209|tcp|7|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.210|tcp|21056|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.213|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.214|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.218|tcp|6033|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.218|tcp|7|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.240|tcp|80|1515011348|1
010.000.000.004|b8:2a:72:00:00:04|010.000.000.251|tcp|80|1515011348|1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.039|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.041|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.057|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.062|icmp|||2
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.071|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.073|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.086|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.088|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.093|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.100|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.103|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.104|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.105|icmp|||2
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.106|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.125|icmp|||2
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.131|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.144|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.145|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.147|icmp|||2
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.153|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.166|icmp|||2
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.171|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.186|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.194|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.196|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.197|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.202|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.204|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.219|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.222|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.223|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.227|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.230|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.235|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.246|icmp|||1
010.000.000.030|b8:2a:72:00:00:1e|010.000.000.253|icmp|||1
----
*/
SELECT
"src_ip",
"src_mac",
"dst_ip",
"proto",
"dst_port",
"reviewed",
count(*)
FROM
"log"
WHERE
(
("dst_sim" == "1")
)
GROUP BY
"src_ip",
"src_mac",
"dst_ip",
"proto",
"dst_port",
"reviewed"
ORDER BY
"src_ip"
;
|
<reponame>zxf/clickhouse-jdbc-bridge
select * from system.query_log
|
create table review(
id integer primary key,
from_id integer NOT NULL,
student_id integer NOT NULL,
message varchar(255),
FOREIGN KEY(student_id) REFERENCES student(id)
);
create table rating(
from_id integer NOT NULL,
student_id integer NOT NULL,
likes integer,
dislikes integer,
FOREIGN KEY(student_id) REFERENCES student(id),
UNIQUE(from_id)
);
create table student(
id integer NOT NULL,
name varchar(255) NOT NULL,
surname varchar(255) NOT NULL,
u_group varchar(255) NOT NULL,
phone_number varchar(255),
photo blob,
UNIQUE(id)
);
insert into student (id, name, surname, u_group, phone_number, photo)
values
(1, "Анастасия", "Воробьёва", "ИНКОД-19-1", "Номер не указан", "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<KEY>),
(2, "Алимурат", "Давлетов", "ИНКОД-19-1", "Номер не указан", "<KEY>),
(3, "Даниил", "Иванов", "ИНКОД-19-1", "Номер не указан", 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"),
(4, "Екатерина", "Колпакова", "ИНКОД-19-1", "Номер не указан", 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cNJZdyzRZJsxkOv93OS66yYUREbgvBHO4bKC1GFqn70ymdrTsD4hLeJiWxMigdJJAFGm8kvMqyc4HQArYFOwVJJE9VjIiMlxnKZ/ZVZGBTSvPB8M34+2IogdQytc1ehM/ojys4BCZqoqJVtwRo4Kk0bNBlnYUpwS2TCZsWxrzRDSnmVkHd2yU8QF9SgQAYU5EjpWLRvuFcdxAXSavRcoXkL3axNAjosEzsp7ILSv/Ps91lvJTqOqZwpwRtBS9HKnnRcg1OB5MC31txSnIpnsKiZ1UYXfsSCa8GNs9GQV72k9NLFAvM5MkVDH49KtZ+xOJx0cKRDVS955okx1O3HpiT6nZSAZu1iZ1v5rWXK0FX3p0SMg4LRiLoXv8Gy5Xp7TBXYo1kNlNlI1+CVmYA3EC/s9cQlVFENJNJjFGFgtFZZUS5U4iwAr/bjlL1O/2aC/VBpAYQF9sHOVqhux6N88rTHFhdDwIWN9cJFYt+fy/jgzaGyeFzmuCRL16EsF8tFz3bLCoHcVC5stW+FpHpBqAqBpfkQ3FQrRwS9pLGfWoBz8Edsriyd4YzDhBeeM9Ut6kFEFF9keRQ14eAb/zG60rJtImK+fqG9CoUjWjvBbsG3G0LXprQJBF0ZxTiMEjqfhBs4oSwq7I58KoicMaGZNFTDmXha/J8yW7ZyOksasSl1gPEA0qKoRTNyRagdSpchooeKnujIhIjxh1dCS4OkHa+DrrL2uldarG2ACeTxXMM4U5Z3UyNeZ3jnIGUMzVZRDFLCq8jMFIm20MHmhNFBFAygKG7Fq0H7bFgA+Losq5bPJTEUMen2K0ELRF43IImi5krFcUP42aCgpfcNnxu2JBgY5S3Ssmimk24FLdJANSp5uSvnCVBUvD9gqZuaxuN+b3Xq/AyCabesx4h+TwYH6rZGam9D6JMMy1WK8AFmsb1+UMocS9JPLUavVIKHE1bWjeJ2QEORWVRR9AWigzG2txRPB85FZ0zRTN0/vhG2GjS7I6bYYJGPX/vhzzQn5xNq1Y6oZFlgcXl0g9C4fxHErH30w6O9FIvnNZ8IEZeUVVEuN3Ku2gQTKx2A/xN0uZUeiX+cqjl0dGeABEpx0hb/DaBHY2FiPitRlYPBnNA0KGtkkvSd2PqcZaiTEAJ2P7jE/ILgQ20w2WjpZiZvutxKj1Wq3OokFgS5eIFFSUUlH5eqc2H3gN9QaB0o3Os6awRvl/LFFupJQR1R7stmUjLCBfUGbydYUzcphgjw3XmMcFbQW3uKNkbdNn+qD4Vl4lvz2EYyz+LTfoyfFZy6Akzt0ccdGCmE/JSfIX/iR6P2f0yYMsplRE+S1vsX8BGaS18XctGp0VDT88GYRprhn79MvhvYSZ1segF0VE5B1QBJC9EjXjfK5OoSRbMqHHxspZFDrvGksieaSksRFk61N/FkZ3n4JP6NvAeHgW+bEco694r4T9oKS4KSJGCJioZQqMiQjR5hiUjnrYmdkqi4FFC7Hr1Lqev5WPIkAaWNMTg1cWJO7XcjSRpWa8lF3LoI7rlk/J2iFyPpdR26DchOfYlAstgiuIGIXEPKj+yFMEtBQK2TwojlZpHr2tM6W+ZfDSZnXetWfAZKw0KDidFJCWXY4L0SYw+lWrrs7mQqR6zhZQVIWdL29P2pZkzJaI3CEBLUyc8mrCbq6ZEqOoohSJAIv0jnGeINHCtqmTl0bMCxSJlSIK92GXhLLIjy5KrHdKSYPTaAM2ApuDOVCeUQhacRYOpzjW3tbClD6F6LDA/hU+COYtSIhAISqnxYQyFqPm3pXIhOqXBf+U8lmCIaBNA5QT60g6R83uVVtSwIBXruhyM8DG6bI6Z1KSPj7DNVssIRG7JkUokM18wJ4lKPbSRfNTR3SxDcQQPHmHFAKG6zLb0TGUSwgpXztzo7AzFlTyqYI7eDoEcNSmRHMfjcllKAmYpDSp9GF4spJFIUmB4DcL/XN1NinZjN/MFhv7GuTbXCbD1Vw908DF/ujaVNtiPkNOazfnLFJfnia4CPMpuXkoBum0J2YtKGJrUcb0etB2MZp6KtWQtWBmLP8s49K8lOI8tSfep2qtHm2VWhWyZ/Jp8HM+KnNTY2hFLGYJ02Z1zoSgG2e4NqVDij4SaOJAoBD7WMgUjTBJdeQeybxBIeJIeTBjUdOU12Ik+vnTYAwWSdp8ZwzsqNaCQTmYOHJTqLpMUd1RflLQmcQF2kfZqUbhnndj7oJtyoyUS8YM8L5jmYcnsE1ZACrRrmvjjF4phfBVookq9W/z/5ByUsjiGgRaalE/BabIK6RPnglu0fBE3uT8gFRSsiaj/Xpkss6+C7l6wIjcqq0xPFCy8PHEnkm7Ql7k8dQYHwJR6qJAiivTwN3TXZhzVmckilmmJKBJEZUhFSK0FagUkwTF45/iKxXNxCTAMsVySzHgeDzGivbEYF6eO5aYn0QFNXnQLhZpINpbrR8xUDiNS2ST8H6CQiRXKbpK4XEKwNhn7sIw0doEApB7UYxqD3JsfYMW8nWvkdycmZsyuoW1gegf35WL36pADK+MhmDrqbEA9MdSh/PBFNUVNyXPTEaFkfk6FANXeqIvHccJSIcTgDEORO6h/jJlC9rqzhAsKELEdK2qtXoIoDyJk9FVbJH8rr6JT+dJmgnXZpJBZ8yLf+DAULwvIKKS3ZQfHSarlmnclhVZC4hDv1UMwfzxO3e4vc8+6/Zu2+EKNY/IpZIrtra67kWLXOvCPnfOxRe5zkWLs4gZGbE1AcMxyFeyKgAV6CzV7bGTkfU3PgO+4GPuSnLDsVAw+dzLfSpg0BeTzHhGtljbbKXg1uXvNGIJYHGNHcd8HimU3DFSnrrQkkdzMTJL7F95/sjnuGJz0Wuk92tM3XETMwVpzn+tFqKVYPNhM3pOtX+/e/LhR11X3hOYY8dceXzcPbV5i3vlhhtc9+LFrn35Std7zvpISOp07JgRkYIh7qoYcpnKn5VqPZlSfWQtXre2180A0+bFz4Sg2KLunO46CCpK0sxRQKeGYxqDTXSUJzHNLIspIsf37XNP3XWXG+nv927D5sR8aGjYdXV1uq6+Prf0wovc+isut99TQd28O5VqVpAA0MTJTy1/utyaNVdPb5YhObBI2gyR4haoDEK5XGYyawT1I/jTQzqvWC0MpaNYT+1QliOgTSsk0ncouihZW7HuXk2VLzgUHKAtQYzhpHqJktj0G4DnrbUy4Q48tckdeGaLq0xMZM8eOHDIrVixzJ04cdItXFjPAB7xhOe2D77ftXd32/zBtFShBMRTkQr6I4VtLHHccL0nxtaeRkl6K6alZhfmrMV/eduJKdHfwPFYCICFh6WBLMr6DB6LujKw77nn3INf+rLr7um27/0nB1y/R9Q1a1e7o0ePuWKx6BYs6PXuxKo7cvioGxkddeecs9a1+cnqWHeeu/b6l9tzMltlvvs4KEX6p78BKTUneqctVjZR5LcM1/RTUfMj0R1LDjoNSb5MtWEWY3FMK6ZPyKJBGalNietsBGV+rkqcBgCs3ShzNaamJFaSoLgFJBaCK+yvHnlUzVgv92x9+GG39YH7XVd725T3bHthhztn3VojEE8/9Yxb2LfQrVy53A0MDLp2f297V5e79s1vcdWeBbZRlQSpSP6Ukwk0b+kGmasW3xRBZ5M4JxYPnLAI91y2KJ3RuzAZo21ABNU7YlD9J/vdvX/1V66lpWRh/Ra4MDpmE6LvKYCwixcvsr/L5bIhr+vudTfc8WZDWOQoxAnLtEzshukimUZvdY6CIpNRLrxH5WC/DKm0UxW+4MbMZ3niQuS0nlGoERDGBqVSjSjZMyVzl6KMKsp/LEYrKbNTiy15nbZFDRkX86jI/+AMcJmzAtCYjGJXwgbav3O3u/sfvuAGDx92Z5+zJszLyKjr6Givr18D5Tzp1wfisGPHLiMKu/YccG/5yIfdsqWL6mKDC0RAOoOqlExEObuzlJ9i2TkNggK/iA2+8cc5Z3UCaciVNN98ru6hUFYjgjwDKkT57t7PftaQExAygpxQy2p1qn95x/ZdGXIykYacHg5s3eoe+Pzn3a4nnwyacy7metfqgSJpPSDe3RVjSoGsGEQ+n/mTG60Rdj36vIkhCFpvoKwjUSlS2OBk1IDbotlGgTM2tmgSUgaCFDz5qaU9y7ukEEaLuU3iWRdH71xn9ODx/qmp1rlosA+RVs/ed5976utfc8XyhOtbtNDuOejZOdSSjS4QckIIAJDz2NHjhpxPeap61sqlbvcD92XvAEZjRkTIqq1lgSxwpOC8qWuSaYr5DPDSZnWySLATFgHlaGGU61iMk9GgrsmTjxmY3L3NTQwNGaU8ePCw27N7r/1dLlds4nbu2O0O+d+B/fsOuGXLl7rjx4KuNup3PrsfWO5/R7C/784vu7u/cKdrq5UT5SzIpNrBsF9ZDzRt9FumJpB0rByUCAtZi2mzx6KN1WopRTEl5LsXbBGC4yCICBIbpAGn8irvlC3XEvIS2TmfUeGwiLKRqmhZakuEYkHtTyYZqPRBloHxqHSODgy4R77webd782b7vbe3x1UqFaOMJU8Yjh877vbvP2jXvv/wY/Z5/PgJIwSDg0P2W++CHiMWRe8hevaZrW7nlmfdnu07s3cqOS5kIuRsTlQToZbI3kAhn3OzhFOyOud8TtLXd57MtE8ZjwGxeEAKhCYRhP3uJz/pL0y4sbEx19YW5KFntjznzr9gvSHo+PiE/73VnTzR7zq9clQq1eW3CS/Yt7QEWS1j9RFaOjvdy3/oh1yxsyt7Z2+M4hGbT9k/SNsby+AATKZiWbGF5pOoeOo+Lch7eXJw0B3cs89VhwfdqN9kIMIhT5FKRSi4s76fOHHCjQyPetm6y4sfvW7VWSscWSPLz1rp+v37V59ztlu4dKkr+TFadb98PrMRN6a6CFTSMpX3Gl2gcikPeI38ia9/3Y35vjaycuDw4SNu6dIl2XeIBHMJFe3s7HCTk5NmRYE49HpKus9/rvMy6vDwiOtettxd/e73ZrqHlCTWH07I5kV2XpLoJlJWZ8Him8KcERRX51gSQ6nOTMbgA8waiijndxClduyQe+QrX8kmgR0KUuo7StKll1/kVp613K30WiUa/LD/9/jjT/nPUY809QV57NEn3dXXXJF9f/qpZ90aP5FXvvkOd+75505BzGYgmyQy5ZL2U/O2dx456U7u3uWObN/uDvt/5eEBr+kut2v9/QO28PQZQKHo8cremJej26IS8sLz293689YZ0oI9UKbFSxZlY0V27vHmnE5vzjnr3HNcq1dGWOTjMRaBhba6TS6wU36TTCvkVEap0qeffeABt8MrQt3dARmgkiCt+g2w3F3dnW716pVu2Yol3kLS4Tf+pBeldnoz01bX1trmHvn+4+7al12VWVCQRRct6jMEvv5Hf8wNFduNq1gG7XglsxvLWqIgbss5c8Ga8do1PW4uMCsvfjOQcbtSC9EsShFQaZpyrR4cobjGHZufst3KAsm0MeJ3ZtF/7+tb4N7+rje6PGFqHmm5p9NPnnNL3OKlfV5GbXePP7rZ7d61z0/mHlt8EIMFZ/Joq9sjzQN/+xlXfdOb3Jorr8wyLbtaplJ0FaVtrJK375iniE9vds898mgW/c4iLenp9Lysw5CMxYdl7tm9z61es8qua4+DnM8/v811eWq+ctVyo/j0sVIpu6NHjhuC7tt7wJSVfTt3GZV76qv/5Gp+o15/843uZDXnNrzxdt9Sd2SXOZNpEU1UbaQzSd8Ots7g8Xr+oYfdlu9+11PHxXYNdo42nkJnd4e75NLzjFsNDQ97ZGw1LkT/ly5b7F5x/cvcs1ueN7kTDrfHc4tzzz3bnX32Gts8EIELvc169eVXZFVEVDMACMsd7K7K+1Ktg7nCnCkoWrzlYkcXHvJaiIEMnhWLyPZuQuVkw/rv/dQn3eDx4/adxe71VAcz06BfqPd94F2GkKPenNTqJ052UWQn/rYk/ijc7965133pC1/3k7rUWFG7R0wEe+6dnCwbhbv+TW9w61/2sox1opzBmuhXOVZwFrvEHrvtkUfc/h07Xc0jU0dHx5SxPvroE+6aa660v1l4xAwoKO+BC4CwUEwWkY2FwofsLBCr3btnf0TcSbu3tbVuWoJTINLY3PjFv+zGG9y6iy/0Kn+LyZaycaYmHVkddj/2iNvu+w/Qj1VenKAPsGco4DKPtDfc/ArfpyWnrCNci74wjgULFtgcPv/cdvfIw5vc81u3mbi1es1Z2f0LV650F77+TbEqH78EI545XMbKUwoM23yNh+Jmt85sqJ8WCr/jwc0B9nr54/hY3dDdEne3xQ9GCqVMSqAyMmyTyEIxaFgiCw0lfdNbXmc7GGCBJz0SGrJFTdOKV0WE5XOhp7aXX3mxUTH+Qb0nPCsFuW1SvPyaGx8NARtLlmfKS61WT9vAUP3E9x5wWzdudI9+9y537OAht8Aj2uDAkBvwm4eF3bt3v/UTSgSSHTlyzC1ZstjeRd9Bqp7ebts8Cxb2uiUeEfJ+/FB0FpdPAAWwQHEzr3hsevJp1+flPRBot1cQQW6bHz/e8bFxQ/pctWKixfE9e9zAkSNusUf2kt+0bKwT45UpleO2bLzLPX7XRqPMvb29btyPq+LfBzuGO93+hlvcta+80suYvTY/zC+fIOS4VzK7vajBppc+UPBKEZT+0MGj1m/+3rVrjxEAG4tv/8JrrwlZp2adCCKcimAAop7islD61d0tbi4wZwR98siITRTUCe0XNjoQvUdijyAW2jDmnpOeSh3ZscML28Nhcf3nSW+c7/Hy0OtevyEzN7FQTCKIiAYJq9FvwMjIiLEnqNx5F6wzZG3x10yu85Mc2i8Zgp3w7jwzz5y1Koodngp7k8veJ5/w7PA77h7PXpd48wtsG6Rk4wRAZhw2seGY13glb2KrRWlD3Dh06EhASN9PFA0t4GHvVDA7okcI+gObBBlg9zw36T9ZdADnxHGvVKGg2Jj9eOkLz/X3D7pBT92GvdKzxcuWDtm1d4H1RTk/mz1Lf+Ab3/JUeYVtoPb2VuM+vLvUUnTvfM+bPfVbmc0dn4NeuZNyiWhV8cjJM8w/yDkU14d+Pr91uzvhtXv+wREYx9EjR93qy65w3V3tJn8qamo0Rp0p4FliiJwk/+IIeiwm5SvMfziWWemN0S9M4NBkvXzf85s2u2FPDaSFw+LZ1cu9je2s1Sts8tjJTBKfLOiEXxTkOa7JgM/k0gb3QRKXeuMxmvIRL+OBGFCRrsgq8ZLsff4FVyiW3NK1a9yWRx5z9/79593o0SPuoQe+7xWFVUYhARADM1aX/wSRQATexwbhO7Dl6Wftb6gTiKu+oOE+99zzRmmhiFDP9evX+UX2bkuv4S/ym2CLt1TQ/tnnrLVNtH/fQU+NF3kZdcjL3wttE+7ZvcfaG/Ry64SnbiAuyMo78Zcf2PK0O+Y3QKF3obvni3e64X17bYMCvJc5ZTy9C7rc626/ySg2AMXMRS5UyGO6ksyYs/flEg6l9Wnx4sfunfs8orcYcnJ91849NsaSp7qdi5dm+V4qfR5qWtUVUyEwprI1Pa1uLjBnBOV0D5V1UexgVvGiECK7VUMSGfXo9m02yUc9mzzkTR0rV64wFvmKV13r2XuQjVLtnl0NZZQMKgrLJ/eBHHxyH8rJ+Z6a8uzOHXvc5s1Pm+bKhNoCjg67o16433z3Pa7TU0kWAaQAgZD7UHQAZFn+5jr9BBGFnNgJQTp+AwJLrHnqctIWHGTn/bhlz/NWBJCCe6DKjGeVp3L0PXjL/OJ5Vq4NOOZZO7/TJ5Bz0eK+uIEX2KY75MWPA55Ks6EHDx9yQ3t3u9zoSDYnUHM2EiIFos+NG15hfSv7uWOemEPNG31p9/3idwiBVBDmmGtqk7Hs2X3A7uEa9mooM17A3mXL3BpveVDp90IuKMZjlXoynnnZFHfgcWNd79wQdM5a/IIsuzCwm2piOMa+qMJXsu3t37vPJggWg4di+7adps0y6bJvivWk3iTtbCZSipLuAzkB2VQvv/Ii307RvrPAV119uS0wwOZg4bkvUMU2+weI4oKEoiBLojYMsMBCNP7pvsDWc5mtETY7EuVgIfYz3sgNdT7LKy7VSni+7OcBz47Egueefd4UxbVeW6aPeHtAaO4FSfnHeBg3yHxo/4FMvkWEYF7WeEXmvPPPdudfeE7Y1J7DFBK5XXNIv4R0jIF3iAj0e7vuwgULsjUYGw9jQWxBUZKnqdWF9VGYodj50GQI80PJWxArYatG1VxhzlmdQxNTi54ubCtmHgbkEMVVqm55t19gdqVscmvPXm1COBQuk4mgilEmYsFY7IkYdcOEDfjftOPRPgGug3RMMhN/4cXnudvecLOxVQAkwDOFQsJ9bAzku71+YaFy8qRAzbkuZNU72VQoXdhgtTkO7D+UsTwCLPhHO0c8Z1i7drX1kdA1G7e3b4JsUGaQzygVSpXvF30BCJDJF+qep+Ve9t3snxdVA/D+gJxQ8NRvDuUGOa9/9bXuqmsvs/4xJyX/qef5jbnPRUQtxmuSO/mHbC/k1D2rzgprxdyiMOJpIpik38vnIVOiHlqn2q7gBZo8StQsKis3g43upcjq1Mkcw5P1yG/ED6X2yt8sMxOLhzZY9RoqZhYmZXIyIJ+o47CfJDv8yyMa2mWr3+GiktwPaxKr0u8Cro95uY1r56xb7WWwG70SUHQ7d+6264gLyJDrvF1vmRcpzvILCzXBIA3A6qGELCg+f0D2WKT8F17Ynr3riisvtXZPnDxpMusll17kXnbd1UYBYfH08dLLLjavzaLFC/2zO8z8g00ULV2GdFHprc+9YIgGgITAZf55ZFv6AILQNlT8aT+GauL+RCEEOdetX2sUkXuLUTTSGJhXzdGQ52AphxJX6uzsnPKb9c87Ehhnj/eKoUzRN94HBcXfn1ZZVo1RwgDtlJMYIA3MIqJecEpW5ym0N0aUzApJFd+obEfFX1rDueBPJgXZ6iH5a1AXtG9zyfnFWhZlTybO5DOPgFKS9LsopbXvkRIkZIJHx8ayyRyPVFYyLP96vejw5jteawuP9t3nWeK5688xdiqqCfvnH/5/YE+kqlBRsTNtJhDu0KHDWV9oF4py0UXnT5mTffv2W3sHvBcHSodd9jzvVAC5DntZUWYlvDOjSVwBgMsXyg5iAhIdeP/mTVsMOaHGKGgAMQoXX3ae97wty+YMJIV68gxmJOYHKh7WJCiZjFFzBrVNo8d4ht+Yy47OdjPSg7xsEKgs84WGn0ZRZblplbr3MC3ulgaOzABNszqbyqAx9fgON0M8KFo82K2yhdZYLh6lV6vHJa6IBa/YiSDk9u273EUXnp9pz2i07GComVgSrJZJZLJ7enpskpk0U4j8P54RO0IMYAHMn+x/k48eOS/nJ+od736j+93f+u+ecnSbfRAkxSVpExvNOjK6g3AgkhnRW+pmEdgx7aY+bMmGjYCs1uk3odlg42YBLoyIjN0XA/2qVSuziC5RUjYwwRxmDvIyJ8iKx6xCLVG/IaHSAJSM+dnwmlf58Zxt80X/mIuO9rrvXVwGZQyKmhIA5oi5LiSiBfeg8KkNNHnmhU2F21SeqQGPpIiV6XGXOqLR+lepRuoZslobjfdNYGMz5ATmnNVJSRcV01dYGxsp1PMJJL2+g6qmoTJh53jFCGO2aeKeBbM7Qc7gBZrMBHp+0+TxuyiEnV7HREYW1usRmMUTcoslBm9Ph7HuCy46z94PIuz2YgZaL5QA5IQlG+K3BaUJ6gTVHPFIDBUEiXb5zYXiItYnCtwIUGqQGdPSWKTwcAopagBhbPRFyGmL4PtMWCFaN84APXvRxReYAZ5Ns3hxX3Y/3/Hxr16zItsAjFmIpX7yiVKKeNMelUNB5qGL37nGP9qAisKp9B4ArsLfyM0dfp56WkLIn47tAaSXtMVYDGQjK+t4+uJhL31Wp5LULArdk3BKKOqgKZ1WoeBbfPVQTEO+OCPszKGhkaw9kIvJRkYC5BVi0lqiLAqSMnkgHlSBe6F2XZ6CQj2EpCB2MCofc5/56y94lhcWESRb4akAciPmHINc0FKPeZaO0jM6MmZiBVSOe3fv2mvsrRIVJtoVJQMIReMeAARHGYKtS9li3NLWgWIxHsoV5VE9u3zFUrsX9kx/2DwY8sXmUU6GPFWFskrs+NY37vG23l2ZWY7+2ZASkxzcRXInVBPuIyXJ4iKigsoGhViIU+EkYd4RSzQO+o5NVDZpRDdV2AOsOEQsnNYW42ilQJ8G7p7uwpyzOttiDXQhKlXTVLcdKBXq1e8YhAbaEe2ILM54VAgAafIgm9nqIjXgU+YdJgYFwAz2fgK5lwk1udFPru454O2Gjz2y2X3jaxu9Bj5gMiFKDhNfKBRN1FCqCdo5RnEpSW3R2oCbECqzZm3wQ8N+0xgBjYGAERQhAewQW+Hx42H66J9kRkB2VN4PEiPXsul4JyYpbI1QWNypcJqW6K8HyUtRCXryic2GLM955er7Dz7hPv+5r3q76mC2wcVtxGXEWZhjxRnI6SGAejN3MrMF+2nZy94XmdxuVhK/8ZiXXEz6o+qLsgqUPq7MgaGJeiG308EP5KxO+YPTjL9w5mVdu4PTKGi1h4XzC4osAytc7d2PYsexk5kNUUggGx2fJvwnfmTbwX7xZZqConLt4IEj7sH7HnPPbnnBIotg07gWMbLDemGtmExE1UDMRV72BLFoEzHAZM5KZYp8BtD3VNwIHq1ipgEHrjDs2eqwiRK6RzZLAEo4EpUgrAVQYxAfMWCJ70dw2bYaYkIxU+qr4BKsCGxcbKu8b++eA+6jv/nHXvR4IptLQP3vikqSTHHASNTspSwVo6IKoPXD4nFFM94LLjzP2qK/1VrVMm6hlsqjYo1bYsjd/nj4bVcMJplNffofyFmdaRXhkViQodsKRVUyw62u2yAIWPZIgKANK2QBTGv2LJyda1pjpJZAJVJDmZUArnXHuMnxqH0ycT3eJDXqJ/WbX7vLfe3L3/ILO2z3nnfeuaacFGIfpJixsBjbAZCa/lhEuYXD7bdFx7aIkgLAxrGlom2XEhMOz2FKipOcxQCc7z1JIBEA9cTei3gR5iSXcRGQl02EgZ934hEDgXgXrLzVI+rezJcf5gAqz3MgC33hO5sBp8Tjjzzl5+AeP6agiYdMhXI2f8xVGocLu2+NxnoAcYrnqsjw/j7ec+jgkWzNseMuW7bUKPloue41olJMMYYxrowH3aLFQz1nWRv0pukuzISgM57VWYpVOyR3Ks6SwgkSitPSe11+UbZv35lNFhQDJLAc8chuzMviJ9QWJJpIzH/sr0FddY17O5OQuOeefcGz87v9Qo+bfCnfMooHSkkhP5USmtnJUzIpSgj/fOdeyY8gzVnRNgmSs6Ekt2GJENteE0PR5CIFMCHxN5QS6rnTfyc6nXvE4tHE2TCYcVDCaIf3mlvUbyD6xfvoQ5DdgyWjVq1lblCQljahwkEsanObnnzKffavv2gcBLB5JfU6bnhstwpfhPLjPdKamHs5+uaDLNpi4ofWS/bXUd/3QgycZs3lOVTgpkqI8zU9EW8G+EGc1emyYGAJyS0xYaotFg1I7V+YStatO9s98XjIk4F1gQS1aDOWuYkJEuuXjCQtlGsWThYpGKzo61/7jpfDnjS/unzqR44ctb9Jp+X+1ra6UX/r1hcyVgayBC9L0QzpICEyJQBlYhGxh2KfBCEkWmD7ZDERFYAQSdRu8ZePP7bJLYvmKBYVioypCABxrQ9edqStJx7fZPOBaUlUjJjRMF8VmyP6gNVAG0QWASgoFBskF0WkH8QB0PcH7nvE/e//9WmbC+YOEYi2MMWNx8gqkAgrCPM64BGVSCaAayhNJ0i78XOEH/6wWTsC5e72nHAyKkiKv4Dd4/qUeKfyPx1Jbv8MsKE2zVmdp6hXs83qbDxpDZishrweCc7pcc29nn2Oen84ux23I6we9mo58KWg8ICk7GoE/ZZow6tEWZCdbEqOXwgmu99r6PdufDhTtIhckqyHqCC3nigAEUYsxPnnr7fvsFxYFou/wCMfkehQLRCbBWbBUTz6Fi60PsF2MaAT2rbNm1oQVxAVoL6YkhAjUL6ghCAlMhxWABNHxoLJBu8QQEQ7gF2V9owzIKv76YKSA5IfeZ45ow02GpQ3DYZG+STYBuRnrpC1Ad4Pp/jEn/2N+/EPvtv3ZWmwW/prYuvmVo4UE3szYK5lcTXfB8SO5bGoAxYHlMaif6YrqWICYVVRXxWjSCu9zEKLBz4WRbopJqc5Z3ViXsL/KjlEKcjpibkIzJYdSbkU7zaDhQIsIpQLhIL9KjBZygY7uBhdl6nAL6Vo4OSgu/u7D7r773vIroE8GOCl8RKfWSgENjYajfJQFoKLQUA2BZMOq2Tx8fTIhASbBXn3WdJYj2nSFmnkffu4SUE0ZEyMKkTzQ1Wg3hj52UCwa1g0VB8tG5DrlM3AO0AqKBvvYAMxpuP+HjYAY4Bip4CocNIrYAAxDGxGNjmWCWR4qD9zeZY3/rMRAagvXic29Hf++T63+clns+ARAO4jZ4QFS8eNLHepKDKbj/mypLquDruPSiM6U0BnmVo7sd5UMcarpuXIZwmnZHXmY8oHGgNlbjbMtiWUoeWdpay6RWtk7yORxKt2KCQe0s9LoFggDDvxYEwtJh5S9k1pmLAgi/KOZh3JnVBOZKu//fSdhhQEmhBRL1/zM888Z22DrCgmIPfF3tgN4D0CMUBAxA0QElcjSMK7CAgRMkM1QHAZqbkXt6JSddHW+bcyRhwhFvAuQu+wCCD7IgtDUWk7FwMz8Nmz4DgoQCBkW5CA51DAYKfKNkhh1ELp6qYs5oTnO6L3DRGCZ+g3v2Psl/t4tRGDgnvogcfcN//pLnu+GktKohTBxRQwMpFo9ADR/5Kxg8zaYbblAnbpQr1gGOtMkl92sl8u6CgyPZ1B2jGwwQVcPAFuzjkOSkX1IfPYw7JiBEloFQiso/4KbUFThhrBJrCpQSm2b9vhFvT2ZlHdtqAu7GRpoiZ7eeP5ow9vcv/7L/7G5COoBjLtWatXmhYPwCYRzaEAqe0RQM4ThQVxYJlQOqgMwcMsMgsA9YTNQjGGo0xWizm95FCRTQp7B3ktysn3TRRysjwZg1XW2nfaUNyqzU3MnaJ95fdzDyYfadu0x0aAOg9EZwLUkXa4D4VLpWroF2IG45V3C+QnEBrXMu1JkbL4giMn3Ffu/GfbrIhUCr8TlKMZSt6p1asDcsIdmE/mCfttRxQHUJBYfxSktDqKgkOElv8qB3kJlPZhB3vVQq0hHf0iG6iVpenrs4WReQd2iympszN4OmDnUEIWoj2626RRssufeHSL2/7CbnfNtVca1VIZF64rhQIZrzfaW5l8sUooBRSCOFQhS1d3PU8bSozCA3WA9ZdjyB/9lScLpMZmusCzfdrgXRjVAQV3IFPKgwSSSfGRLVPKHe9hg1Tj/GB2YvGFGKRTQ9lBaBCDTQwgDkHlEWlAXjYYYhP/QFQbi0f4kOocYgFQpBTLSltwnG/+093mxavEVBTAlMUYSAKYg+FovbihpYf7eTGPoNyrtaAoyR4K1RyYqNdFUMBQGpp5pjBnBNW5OrD3cPhBLVYHDqUGK7Ga3Hgl1EwarwU/NAoEAj0KybnnnuPlmxOGZMhs5pYbHp4STgeCPP7o0+5LX/iaTTaxl0wSQRdMOIvFPWjGKBBQHhCLBQMJobRKCOMai0bYnwzVmJXYDNwPouNrlksQGTVNemWRcXvSBu+G2j7rvSwoWNy314KHw730ETEDSilKwv30gfeAtErJAKkQE4TA9Hn58mWmjHFtxcoVhvDkL+GfRx6WC5S2kJNRyBBhQGbmr1KtZE4OkFpKH4hN7OunP/X3jsMBuM5cKBKMMEcIBZuSjUqOPMDGv8Ard1gR2iIFZV1FmASquDcUTwdRbdK5wpwRVAdiqcCsqgSfiIcZ8FUHpQJ9K1aYDHrZ5ZcYJYPqgAA7/CJ0RjelQu7k9wYe88bnJx9/2ijn/hjChozFvbA+NFoUBlg0C3XxJRfacywE12XiAZAZmWDEjEPR9YqJCeTCnQeAeFAg+sQmktmHvvIsio/aRja8IGrk9GeZRyo2EX0npYOFB5GUTgyrpQ8A8jTvhJLSHqwYrxdIDEWFqq/FzVoLDgEos4K9lVTI/Qokhmugza/zm54xoJVbzK1vl3dgg4brKO4U2/I/f/1uj4RVc38q7wtuJhvzlqe3WrwsRCWEPg4EL1tr3QYNlVS0nnzzQFZQNymWNheYM4Jadbd80NoHJuonmSGblqMQzt/K525vKPvHhFtKr1+wo56yipWrHhATdr+35W1/YZdpkam3w8Lc4q4lGgnTEYqJYjgB7rEwupMD2W8sppmOPIVlk0BZoMhj3vMiREa8kL0PP/l5prEHKwKLYzbQmLOE/ApySfMF2aHoIHh79PgAoozy/6PBQ0lxIbZGpQgkwA2KiAESgWRQ/kOHD1s/uEc2UMbJRjBngqf89DXEAATRhrgB2kOcon24DfJ6CowT6wABJwraUeANQAQ/mxBldlUUH5hPNHgoZ+MZ8BLndMIxMOw5SHluZRcymDOCTkbN3Q4eyNUr6qqQg1JRKzEvpVooucNeqZAfGlCa78nj/SFiHvOS39n82/TEFm8aecbMJmi4aOcsKuNFK0U5AvDQ4DLlu2yIKYiNAixmmmICwrLIsFeQFZZGcAQiCAheiS5K3i3bKFQRFojShUihAGTZLUEey6n3fRJiHoja/4kof5Nbb9U9omMBQPFB7gN5zbaZxJ4q07MWkYL2QV7VraJvbJRSDOFDZLnyqstC0ImnoIwJjiGrBD5+xC2CU75374PeZPeA3QcRgILibZrkbE/fHoqjIq5A9PaokFIIIwWVrZTNU4dPSMOfK8w5aQ6cVNWO9CQ2HYoqsh7KfIeA1nO9EZnkNSDIPSGNgKAEFRXABPLs0897BH3GJkcUDEoAu3ns8Ufdps3H3ZGj3pZ49KBRO0xCMvKTxXL8+HG3Yvkqm2Q+L7zgYgvqQL5EhhuLhnNkR6ghMilURwDLRNOFYuFq7FvUZiIJ/eEdsH0obiHm7eOvRhaEmoPYknVBOPollylmJkL6sGVC9XhejgioV2MANBtGbJ0+D4/02/tANNrNFcruqS2PeznxYVfyct4xP7dnn702y8PH+3P5pZd781OHH2eb35DOU9L19p6W1kkTuQDMXCApaTJWsc4j4ZPbYk6VF3MIRVRoXsGzf/bJopiDprqqoW5oIQtaNj2kGkSAJR1zL38z57Tjw5wyFutCYlbQgQHhlIygLOkTf/uo7+3zm59yW5/cbJQIGQlKBqIUPfKQ7AY8tfkZ99Uvf2tKyN2uXTvcrj0vuEce/Z67/8F7PLIi54UiCgMD/X7i93oqu9w99thjcUFrXgve4xd/wpD4H792pzt8ZL9VL+nq7PFUMVR0g8JAYdOIIQBKh3eJyCY2T29vt1ET+dvp92CsPgK1gwIfPHjIqDOIiuJEsIgCOyzwozVUUUFOBCGp3wnCMxeE1kFuED8mEgUROyQsH9mPeTpx8rifixfcth1b3Avbt3j2v989+tj3vTyZ92PpM/ZOLCsV9hYtChFag0MD7qmnNjnCEe6+59uO0NiBgZMm63d0dBqHgjqzQShWQY0C+vfQA49aqCKIjrUihP8V3HlXXeV6ly01CiUTYosdRZOzOgihxqrHg+GJUJK9pfCiCjcYmYtWeyJKZuWDB76zeyBWDK5NKaKvYrYg5WQ8DlslUXZt2uQe+fo3TBZj0qFQUK4DBw5abSYowwPfe9TkOJBn954d7sGH7vUUIAzuhFXhWGhKCMi7eNEyj6Qtrt9PJApKMIVMeuo8ZJ979+72bGyLu/rqq6f0vbWl0y1bsspdeeXVpjGD6GjnQJYH7lk0lCY1mouKAnAAKCmsGtsoFgkWU+kbUNPDnl1DjZV7BZjR//hJe6fiPmWfhZI3vhMEKle9k+HoPrdly2Yv967yfdtj84C8aAdOFLBM7PPy8cV+ThZlzx48eMC7Jb2OMHDCuAr+dkSDXbt22Zy0t3e6xQuXu/PWX2RxtmyCRUt6jWvdd/dDfiMGymd5XxZh3+auvP12175qTbam4XzTWhY8hHG+mKtXngZJ+X7TWd1ulrDRhQj7uy2Zs/HqbH3x390zkJ0vpNxo5I6JeGqcjjipH9Jac4O7d7hN3/iGe94jBV4cQsSQ2WCzUiCQpQ4dPuAeeew+j8QnbUHXrl0b4iRbO936cy9wi/qWeirTlqV2yHSyIqnmNj4W7KrHjx/zO7/i9h/c69/7rFEWAGSvlgvu3e/6Ed/fUGFj7959bqWnwKMxhQQKiAcJqrd509NmgZAogQkJBQvNmHtknKcy3KWelQskTgBQ4EIhn9l5Uc6g4GxWlCLkwksuvdAUQDT5kZFh9+Wvft6bl47YPKxbty6Orew31zX++bK76MKLLKHusstDrSo2iFH2WAcUGdoClbvaPHfa5J7Y9KhvuyXzvQO4Z1/32je4JYtX2rpgGUEOZ9NBTR9/fJO76qqwVte/7/3u7LX1YmJwSeIylHekEukj8fxUSkdStO36lbOqD3pK4tycz+qcjNV0Yd2Q8cHkxAyVABdhDZWY/S5bFmp+Xui1V+WN91g0TYixRA7dted5t2PnVs9uBjwFOOipz3J3wfmXunPOPt/bSgOlwayEC47JQ5vG3jlQHTTWStv2Torg+oV/1ate6Slwq7vEm59a20vuH/7h792f//mfG9ID377rq+6d73iXe8c73ukViaNGOQ97Cn7gwBGTQ8tR0QE5AZBTZRgvvOg8c5uCwFB/2DgLDKVFg0YbBzllY6S/cAeQGqvDoljaHFZMe1f7DXv+Bed6JFvkNm68y/3TN7/hKVvOyvlAOd/97nf78bzKdbZ3u4NetMCUha306NFw6AEiBoqdtdkTSuEgIoD4497bd911rzQk7FnQ5ZF/wD38yP1+ox5z/Z7l3//gRnfVlS9zl15ytdvjqTFOBBRaCAfIaXUJ/DuEnHiPOFQCApQmxckuKo8i5sjDs1OSXtqzOr/tWbyi6cXSBRPRPgq7VzVeUB5tbtNn/8pV/YKxUCAWueohwmm3+8KXPmO7FtizZ6977Wtud+vOucBkM0we7GAQImWZlSaR75Q4JKDjmpddnslzqcH9wIED7uMf/7hH1n/wGnVo67zzzjPE7YoB0VC1XTv3uju/+DWPTLutPVFHZMPLrwgIa5U+/FhAQhAkjZ5v1kcWmralEGHrPO8CApwvjpH1J93v//7vu3vvvdeUHij+m9/8ZvcLv/ALWd8ECrOjva3PvuAeuP9R26RYK/CiWSEyb95jA6j2FVYLuV/5/d7vbXTPbX3KFEZ+w/rwoZ/491bdDq4AolJ+kriBleec7a552zuMAElb16EKk7FOv+ygOq+AM5n4fElP+YgLOuM5SUJQKodQnKHxsFSdUqxB8B8I+8yXv5hp8iws7OToscN+N9/r2dIhk+2uvOJqLyOu9QrPCjMiK7DYKJCnHCmCWg4SKbHeJomyct3Lr/L2xfXZNdW+zMUQMi0qgCz3wz/8w7Zw+/fvd9dcc437n//zf/oFPmvKaSNQ1Qf94t9z9wNW8Q6zi6WjeG8NGwpqKROXqi0LoGKIH1AyybAgFOnCt91+i5d96+9i47zzne+0/jz77LPu1a9+tfvlX/5lt2HDhimIWYsByMyHntUGpOrJY49u8ptoi8mvq2P4H4qONo9styG5sGLy6Xc3ohsEpRS5/rprb3QLe/vM+VGO5TBXX3ihu+h1t1rRBlKLRSUNGWOJG2n2cFTWOxyI5tyrVs4og87pnKQZT5r70rYTU44WlN1rOB5CwBk/LdGjJMRFJrnnS1915UP7sucOHNzn/vbvPpUVT73g/Mvcja++JSbK1czmifJhlMJr1OS6gwxoxDpU4cYN17tbb9vgvShrs4VKF7TJ2LLraL3/6T/9J89SNxqFYlP8j//xP7y55uxs4RWwAmJ98fNfs3cDKTIi6y2PZcvlj8e2WKuFjEsd9YLD4o4fut1C9wBtGDYLVBKLBIhz3XXXGSWV4bxxc6XjVB+1CQEUsXvvftCsIvqNPiCbm80ZP7/nSJNeJDgrerd27n3Bb4xN9g5KD73m5je45cuCiQyR7O0//SG39vLLMzMixyxyBhSt6zzTUgy1o6LdWDyRhN9PoySd+UlzcRKmdQP8867+TJNLqaeOwjsRz9CBHWAipdMg7K4nHne7vN0Ow/i27S+43Xuf83+P2KRdfdUr3aoVa6aUA2SRQVK+a/FVeAA5881vudXkNi2akMkli58iZDOqCvyf//N/3O/+7u+adgwF/dznPmd+6cZngc2bnnGf/P8+6zXmvik19tksOoAAozlB2fyNlo58+s53v9VYueoipZTzjW98o1G1p59+2v3hH/6h+5mf+Znsvepr2peZNmA6Tijp3Xfdb5Qc2Z3sV3z5sO58VBKILyXCjL4/9dQTbvuuZ+33nTt3ufe86/1u6ZJlZiu99QM/7jq8TpCG2g3H0ovpmUhWILhWy05FBh+un4HF52YYzJyzOrsbDjdFaB4x92fYSSBnONAp3NcRD0dd6Q3JKAi1WsUdOLTDNPWjR48acq45K2iNSo1gUlGgFM4myoRihOfo5/79B71JZJ36ewobbHa8ou5pvPbv/t2/c7/4i79oct+RI0fcr//6r5+CnPp+2eUXuY/+3q9ZZT6oqo7JwYiO+QhKqiocQ56t4x79HX//1ddclsmiKWv+kz/5k8wt+l/+y3/JkFOsPC0/mY4hHWvjP8Gll13ofuTH3m42YBRLNo4d+RORDPGJ+FllzJ5zzvlexHp5dJmucU9uftjPyRELjubsVMVWDEePISx8Iknt0VE0tn6xqMPpwu1mwrVpw0y8/Z5q/u+Z7vqOgXHTfEK997zrbAlntmMLEzU1W2iS/WkDKzt3/5e/4h5+7B63ffvztjA3b7jN9XQtMgqJeYRPBHg0YMwvpqF69qhFvfX2m92b77jNqGgji0sGfQq1UX59ipyp/PbKV77SkBP577D3gbNoV155ZUZp0/axCb7suqssg/Sw3zDIYIe9zxx/uoozAG992xvsX5qDnvbvT//0T90XvvAFM3tdeuml7r/9t/92CoVPqed0VLWxf7pmZYU8O7/iyktsHu+950H7DQsFpiyQld+R9aliApKuXbM2FLAYICOVdO5h97o3vsUtuuiS7JS9jqh/dMWgIdnECzFwSGeNQrggVqcx1D/40Y9+9LlmF+asxd9ldtB8FqBKJ2Dv7JU0ekXHU4+Xg1bPfb/6Y+91e55/0rwf7W097pw1F5o9kJRWILhAx7IqcLB5KCls6S1efoOCpXWFUmo0HbdIZbZmSpOeRfa65ZZbsrb/9m//1lOVc6aUk2kUITbe5T1c930/exfK0ElP9X/qZ9/vtf2LT3lW79q3b597+9vfbkiBjfOv//qvM5mz8d5sPhs2WDPxpdlvgocfetz98zfuytrAoYDt1NJxci5TpAiAnqh4U9+hPeafv87Lox/67T+IRw+FsjesLd/bCvmsFqitX7XO3vkNJH3HeX1uBtg4nRY/56zOYjyRVyYGIBdD/RXZoqO36bbOrtzh5Zqtzz7hPSwYlLvdLTffZn5tkBOWjlAPmxRyEtAAcmKOuu31G2zBJaOmlDOVLbUwKatrRMiUwug635E7P/GJT5jSAuL80R/9UcZqU6RJEfsmr6RtuOX67F3IeD/+wffYRmqkcCnCoATJK4b1IMQS5Kb0J6XwtmBNlKR0jOmzjcdKAlg53vTm15m1BO1eaS6q0Kw8Kkx/1117vedkC0xJ/cd/+LSb8B46bJ4EBIlKIrpRi0sVZcZiys9QUrOp8aDcJrChNk1W5yksfraepF2DE+7oSDirvBJ97uVaCBKwmpHxcHsZatuLoQTOn/7uf3YDB/fYolxw/uVucd8S70N/0mQ2FAki62HvsPqJ8VBgjFIyH/6ln/aep8tOQbr07xThmsmgjWwybSNdcDR5nn3uuefc1q1bjfWvXLnyFJEhbQejPGyUPKq3vPV2M8ZPx3b5JG4AxeyFF14wA/wP/dAPTWk3fXYmmTPdlI1jaVTG9Dt1oIioIniG2AEUOULqkKdXRY0esIK5Hd3en3/Cr1OfrcUF3gQI5yQsnQJhHB7L2rbEyspmtYkZFtLsYfuz8MXf7sXKfs/qH0x/nHNWJ0hIWjGUsa+tmAnN2D81Wdo54Whmb287dNAd2rrZNOXBgRG37uzzLDf84osvzNpFkEdjxE0HkoKs73v/u6dQztMhWTN5VPelCzWdzMrfKE2iqL/2a782I3KqXfp6w02vyKLd082UIhG/g5w7duxw69evdz//8z8/pe+nA70vFQEax9VsLtJP5vMtb329fVcQNf3He6RnsdmuPmutrRXwhU99wo0Oh+JuI/Fsgo5iPkuSY52RRXFvKroNNygsfpbw0mV1Qh2RMejAZDx+GSAMCxafj+F4ALsLrf/px75vJhVYxu23vsn82ld6N5ryYoBQuWOnsXYCem97/c3u5a+8JruuyZPCkyoNjQuW3q+/K7FIViOkdaKEmCApgAz2AEfBNLwfaEQGfTarYiwgWOMb3/iGsfS3vOUtRrGno5aN0KgQTkdpG+VU9Sm9B3Z/4UXrpwR6ozghQ5fL9aow17/8RqP4g97L9e0v/r2lkXc2OWZSyXI6xRl2z+eitjOK6tzgXoqsToYJW7ddE8veIIcQLKCjSLiOZs8/kPkTf/wHJnsepihVod3KImLmCMEXITYUkxJuRA4wxQ14w42vOAUJtOBKSW5kYc1kz5TtpfJren96oh3wnve8xzbP5s2bzT45HdVuRonT9wo5hLTYWJcuXWr/RKlrDTJzCinCN3KP6e4HGm29qXKne972jjdZDICyQq1QWzQ5Cc5Zt96vxTmm1G7f8qRlSujsAYgTLcFBMSkqmh48gLu2J2cmzQXm/GSpUI+iB7rjWezdMf5P1BMZFK0PX3t1ZNAW++d+9Tfc8gXdlhob8riPhpqVfiIJTyPGEkXpVk89Bc1YcyO1bFQSUuUmfabZc81YJVQUjw7++q997Wun3NuIUM2QR6xY//gOsvOPkDdRz2ZUv1H7b6b0pNDILRr70dhPzcVtr7/FvfqGV5prFKVpOOZSAdvjEdy3vO4NZlr7h0//lffX7zUklfeQf1BUs+LE12KOOvwiIukFc0ZQOqIDuwCEYSPxseTe8XimOeydULtH77/XkJBFWb7iLNuhxFLCTghUYAcPxMBZBPZXXn+t5XcDKXVJF2o65BSkMmv6PRtDovFPRxEvueQSW5innnpqSr38U+YjboSZKCGwc+dO9+ijj1q7N910U/ZOQSP7TpFS39ON14wTpPc719yioU/+ET31pjtutbgInSKieVIuE2uGQ+WKK65w+7weIQ09PR4cZWgsWnDABQKFwAsVcJgLzDnloyV2DHaOEMyOgYKam8s0u6DJhbzoijuxd6cZg9s7vfko3+qYL5CSfBlCxkiLsDOCDh7yfvWb3Wted9MpyNIMGhWDlBI2IjLXHn/8cbNt4jEC8aCShLARMSRKlbbJNYzp2EWRw26++eYp70/ZZ20aJSW9D/lTsZjLli3L7mmknvTz7/7u78JxPJ6iwV4JHnnb296WlaZJA0b0jpStp6JBs42dyu0XeHfxJZdc4M1r+00mhZNBMKCoEJClq9a4/qERt3//JrfXu6ivuyWE1sHiK7FGfTjto2j4gNw5Ge2gLadZw5lgzhSUDtlBCv7di9tDiT92jWyjIKvOMl/c4U1Fh/aF/Bwvz5SqZWMh5BhhblqzZpVFCTFp5IOjCWsiT8fu0slupJDpd+yaRArdcccd7p577nFf+tKXDOHuvvtu9453vMNbEi62ELdGVo+WjdUBpNq2bdsplCgVJfRb42e6yZ555pmsYoki/dNxHjp0yP3cz/2cbQwCWOgjyPr5z3/eZGLMUffdd9+UsTWKKI3j133p342bEXjjW2614GV+Q/ziOshJEYmJwQF3k3dg4Pn70uf/LgunVNYEyHhirGJRays6S0ZNS9FW/mJgzhR0JJ7NGQYb6pDD1nU8OP2SyxPb6NCJ416e2e5ue8d73BHvEsSFSZQPxmJ8wbg3Sf344E/8iJk7Gg3q6eQ3uvmmY5FCHkLp3vWud5nCA8Uh9eH888OpG4gaIAqI8BM/8RMWJ0rghvXbtwOFhdI9/PDD5gL95je/aTGbIBrGbYKqoXLI1gRB4yIFqeEWXEOGJdgYOyr/vvWtb5moACKKkmoMWDhQmrZs2WKsVMAmZpPQDrbZ173udaZoQU01TkEzjtPIiRotH7qnr2+B+9H3vcvcoYsWVc3MB8sn4+H5Z55z44XAcQq1kEFxItq5OepwcKI85Wx4EBNFqd3O6nRzhhd1Xjygc9iBNHhVJcDJSeHvn39TkLfe8N73u/GTE648EHK5lXpLzOT5F673E/QOC2Fr3OH6LpiO/TeTJ6GOIAOIiq9di6/rLD6bBYRiAXA5gpR6H1QLJQk3pDIwsUbwPCYonuFT9Y5ANNoEsUBYrildA8M8973pTW9yf/VXfzVlbIgPbB7Y+erVq80/z3vR9omwev755y2wmnFccMEF1k+UrNPNQaPYk1oxGkUTLCl/9v9+MhawGDePHjGmBD7nuovuwbu+ad6vT3zz/inn149Zinm9JDzUVR5EWP+rV846J2kKzJnFq3oyQcm12KGgEIUaoWHAQR4VWKqxNyct7um0c9kBBkuUEgL6xZecn9WKb2RfjcjaSDlT04mAe5DjRKmgYCAn3iEhF0mt3/72tw0RQAqo4Wc+85kp7wMJYG3cj0YPQoJ4orAoPiC33sk4VWcJSrpmzRqjugBUUMicau+8n36BnCDe3/zN37i//Mu/tPt5J357kBNA2YSSIks3g5kUxXRem9mN8eZdeNG5tibFeOIIQTvkUlH6mw1u0fnVWpYgyd9YdUBOKUlQTv09xyMRQ39zoWdnfFYnS6dAEL4gMHOqnOpFlqPJgV2lXGmo1LAXukc9EpDKe9BO8A2RVgSEXH3N5fZ3o6aaTmrjp+5rlL8EaMx4bADkUCYY9i7kQjkSvOY1rzGqARtPqRBKCc+QG6RxQEGhhsDZZ59tbB1TmkAlzREDQODR5JDZyy67LDtuRycRI28CbAYQGmBDveENb7D3gaiqowRF5RrK25Q1OY0FoRmkc6bnb37NDVYHCpt0pyXvjZrSNBI3qI0vHxImEeuKMcTSlCW//kPm8qw1rUAyC9jokrM6i7GTbG9C7r9cm6UvXvGgvP7YGJHVpexUucmouS+Mh4qOlv1gilzzCAyuVQNCUjGEyCVsnpyvqSodjQipyWuUQRupgp5J74XdEq0PuwQ5kP+YZNIcoFYEhvzUT/2UUc4777wz05qhiCALbX33u9+1Z7U4sGGQFdkVZCFMjme4h/fgHUIRgmryCSLzO4AczLt5jrYVNYWnCgqOh4k+8242FBuM79wLUnYktflpg83HBkk5TQozWUJSNp/OHwoslhSinvgbIoJ1ZXD0uMnHa84+x6gnlJF0n3K02gAKVNeRmHKBzhJeuqxOgE7I1KAjR+ggnaaT7CL+pjXKLx47fNCblh52N13xcjMp6Zg94NU3vKKp/Ng4oSlbbHZf43coFYsojVlUDuQE/uAP/sB99atfNSoHkkEZoXY6lY22QCpkSigbwcUgZ3d39ynvFPVKlY+0LyhSJOohdlgd1OQayI8JiueQT3WeOyIQCKp7FAOrI8jb4gG7qRjUaHJrNoeNfdM19Ruz08bv3Gd1s1Z4ywrWlce+cb/J85P5Flt3rDOIdCjMSqLTpyLsmZGx2dlBm2Z1NpVBc6FO+EZ3GhgvRxnNU05IPaydNFR5l5TpCRXtXBRjPQdPZvU0pQwRC0oSWUMfTpE5079Tw30qDjQiK3KbkBPqyd8oGVp07t+0aZNRNZBQ1ZyJAQWQC6FmIA9mKpQVIWdq6E/7ndaXT6/D2llgqDRUlX7oGiICci7tQ215H4Csi0IElYYig+Q2914U4R4pSY1iT/pb47xO9z2lpJTnWewN+FYP1LNtEgWpUgJc4y0TRMlT9xPW3ptQSJ3wwu/kLFkd+9xpbU0bcy/1WZ0AQQHVhJQDfOd3yL/JJfH6mnOCFvvQfRzfF+qom0LhkfW6666aYjoSpAiq+6dbiNRckv4799xzs/bsMARv3gk1j1ZkciEigAKFoZYXXVQvvAAig7xQVsxIzRS16ShSep+ADcO7QHJMW9KsQUKQDgrPRtFxjtyr2v1QUMQAAPafVkxp3CTpv0Zb7Wzh2muvyE6X4xCGcjkWu+3uM8oIW++2MzvD/cpPAiBWJFViaSSg6DTw0p/VKc1MVFJHM4fTHXSoVznGBXqWesGVdh15aXyiXtUNLWv12lWnGI2t7cTAPJ3wnyoGjQvDc+9973sNIaFaZExiPpISgsxI3rkKtwKwTCilAKM+CIws+YpXvOIU6tSonKXXU2TW3yAo7wfBkG3FVokJhYJijkIsodYUv0NBkXnTQA8Qmz6/733vm/LOVMRo/D2l5qmbtNk86vPSyy8OJyh7RemJJx6zfrCJ1l/5MltfxYACY7GQnILVxUWBvn+NszoVTkUHyzGixTpmcYJhMhbF05BB0hte8TJzc7LYO3YFCkpBWozD5Lk3hoKlVDD2Z4op6XSUK+unR7xf+ZVfsU8QQOYgtHlMN7BM5DwQAdYKoqSaPcjAu3Az2oRNk8+UUqdmXiXdq0xRqPETTzwx5XeS9thEXfEAWJAYhOY6Ygd9l3L2W7/1W9bXZnJ542fjRk/7k46l8W/KnSOLYm3Z/NQTYSP3LnCvvvGGehZFfEYRS0qSVOjdaCyBMxPkfhBndSJX4odvj9ma6mh6iEIhY/teBGjvdOdddqUhxIKFnE48YlH0FFlIWXTjojbKnun1ZiyrGaXFi4SHBg2YhUfmhHXDtpELmXgCIVhwkETvwD7Kfbg4KfAw03tSdj+dX17tsgGg1ChljzzySPY7/fyP//E/mo0ThBQ7l8IGVUUmfu1rX2s59I2bo3GTNKPgjTLndFRU91Kukmp445PDZjW4+tU3WRU7iXSFmD0BHBieNLGOzyVJRZnThdvVfhBndbJT6KMhXz6XyZoUDIO8yw5aioeMcn3DHe+wSZ+cnPC2xq9ZlZCz1605hb00Yz9pPGWznd9sAVJF6oMf/KC766673I/+6I+6Cy+80BYb+yJ2SCgSdkjy4lNKToYlVBYF5sYbb5zSbiMFataXxnuFNO9///uzAGnSjNP7fvZnf9YipzBVIfsCQlD6+ZWvfMWekUdL/xoDthtTldM+TtfPZp66ZcuXeGIymJnfXv6a11sCJEHLgJXXzIcCcrg6EetarSRn8NW3xGungZumuzCTcDDjWZ0DUfag9g7008i4H58K5qs+E0isaTj/sqvcukuucAe2b/WU4Hnv874jCxJJJ0V/C1LNOL2v2XP63jjhgKqGcK9YPexUXp0UmQgiwTyFzIoLUjJqo3LUbDOpz4336jpsGiT92Mc+Zv3gXYTe6T6M8h/96Edtw8jaAPWXo6BxzM3YczoHs1HeGucvEz16Otxdd/+zbepFy5YbFwQIQrclz4Vq21BJgph1HCLyqWyis6hRj+199qVvarMw1n9v/5A9zMlEyMXkIhHVxMm3LfGs+LRjlVooy/jAd7/l/u5Pft+05fPXX+g+9/efPbVTUEovjOc5iYNTjXETck68kDQfxApbBK/h1vCBt5+aB6QFSherGaVN79fvsFHEAf4R4JH6vNM2MF3hU3/ooYdMjsWeCiKhDP74j/+4sfPGoAyeQ+Eg5RjKhAH+i1/8ojsdNEN4oJknLZtD3z4TnyOtxs9nLhaIsDn035m3mncFV3DNNqQ8A+ROffjDH7ZN8+Hf+yN37vWvMacMyMnRlyCqcs/svCR/La3RJX/9aYqHAb+YazgG0brZZBJm5UlCCGY+pKXTSeyiva2B9cv2NRSFZb4zqBtee6vtQhSWnbu3mwyWLTinnh075opeOSh6G2HeU4+8Z285jNFxwh2haiwIhWa9clPwsmPRs+HS9u2u4E1I+ZjflCoCKRtMxjllPGk+ElQW7R34yEc+YuKAWHQKBG/A+j/72c+anPrggw+aVYB3PfnkkxYdBaLDshspLRRZ1gJkYoz3DetwitjTjGKegvwe6ZjDwrPPuqKnznkO6QUxcQy0JJmV/EalZ/9MwW+yFj+PJd/nov/MxwPUsNOCoLxvzbr17qoNtxlyon8MTJTttEFMSdLksYenyAnM8jhu4GO1JqnHuTgwhNQNLrD1DW4W8JVtJ0wQBgFHYpFSHR6K/EFHmV91GHJvoVf+N1j8b77/HbFMda/7wqc/7RYwgVHWckSu9/Y2fzFIkrJujquBsoK8lFrkYFYoAoVqk1M2pivy0EiNQDoCSqCAmKdQWBpFCT5hvZidsBAQ/vYbv/EbJq8KWaCsin6CW4CAyLLpu6CexHgSPA31xcuEnJkiZ2MGQCMlzjYgm9tzmhwbmLEyl/F8qGxucLcujAdN1GIgBRQW8cVTdEdQDc/5edvn27nVm7GwFWPx+NTX73Er1p1n660jL1GIlf9OUzQJq0f860lKI4EXG87qcbOEjS7Y4Dei3c85q3NJDOeH12LngrzLJkpUSymfm7KbQhHbaBNdu9798IdCqi0L+TbPBjPkZMJ0PB9/QxHjmUk2eSwQ35UJqk+egQpynLdfqBLIgpKRVCABmlEhAUhHinFI4BvLAjhSs5HYKfWTMKhffvnl9g9DOyYiIRYbTxFMmIv+63/9r1MoIgAVxXUKYqMh/97v/Z61MZ2S0yhTW5+Irveco+hFC0POGAxtyMl8aF41R4yFM1HVtly2mnPm0z/3k7/+69Yv5uGd7/oRv2bnGjVTwTD+BvH6J8L5BIh2bdGikxatDeeCzpqKAhvcS5HVCYCA1OZhB8HiS0npEx1iLw1OgrOy/K697tXuouXhnMm9fvd+4Jd+KTTKhLEQTCyBEVDBGLrmqG8E0vKd36G0eFniIbT2O0gRF6fgERREFYI3ss1UYyeYGqM+7kNY+q/+6q+a3Nlon001cjYX1UGuv/56q6+EVQCqiHIFcsIhdJRiGumUWiOwc2ItgHLzD2oMQjezWKRmJeuHb7vo+1tAkWLszJtKezM3bEzmIhbxtb/xnoncCXmZP55H5vfz/9uere/3VB3Z+Je99eP/+dVfCScI+sdaOfwh2jpLcd3J5k05uWzfyJ+VhIvOBeaMoHSqUmtugLWiDp6qsotkC0W7k3EX1rDSuxP/4vd/z13kPSf4pb/28MPuhz27HGSSQER2MhMMcvEeqAF/s9P1XsmEIGvc+d66HCZeVJPjU7wslkty71P2KXZNoVhSK1CKoKJQSK7JnCOQPPvTP/3ThsggpE7V4H7sm/yN5wkjv+yZmLea2XpBNmyslFxEJEBbf+tb32ouWd3TqNhZOxzb4zcCJynbnGiu6h0NyAh7j5TcroOkXNM/fovPnfQb+j1+Df7Ry9+84wq/Rh/y3O1woT07e4BKIlDOSjVU1YYAsbZycdJDuCW/gSOYo46NndbVOS28qGNowjyEqmZ0HGGZeECtJ4Z8HcvM0hTj3wzq5ETVrXYT7q2vvt7t8PLXiJ/Ikx457/TG8Vu8DNhLaJtpYYVANflkhqAGTDrIGbVO+1svZcFAcJBUzyO7eYSpomxFaizk+PrXv26lFlFkCBD5wAc+YJU+BKlylSIKlO+2224z5QgjP/fYOZf+PchtioDasGGDFcglrnM6uZL2kD3ZHKSSgPTYOxETyP48xfTGWZpeLkTxCYJ+S5Ah+VTbjJu54lmF6PEb38WhmAvmyv/2tFeqfvbjH3dbPaXHwgBy/uVv/qYFe28peu9XvmBByVDSYjyobYBDYnMBISFWEvEGolzaZe7Q4K+f8zE0tVqt5uYA92NmSii3zuikU5D40Nkgf5itLGb+IVRrt501PuhWTwy6fk8tftcrSn/ptWECg2Gz//knf9J9xNsKjTK2TDM4dn4pOSQKSiElakF0Tuh5qCuR4AT+xryk//Af/oOZh1BSYOcg0W/6RWlmSxQ0M/GAlCA4nieUIXKaCH6mphMUUYEfaqdZXX0BWjP/AKgoDgbMVYofgK23QF0ZJ2wclq7+gLCMF4TkU5u1cQ6ZC73fz+Ef/MVfuM94U9oJPyfMwzV+o/53r/RxuG9/vuS2dC4xHQN2rvMIMMiTyVuMqT3qghTlFGCcr5rdKR+nwJwp6K7BcROMS/E8nNZYRQKyDpKGA55y1lkTd+LRifyD0mI/y7e1urMmhlybn4jbvBzX5ifzm/fdZwv4uHfpfef737fJvYzoIoR/Jhu2BVISkc53FoWFYIZgX9JYhbi8nOvxvmFP7f733/+9GcKRC1FKWJS/8IuEq3M6xUSpvqmiJED2hI1DATE1IUdiQuL3Rq07bbNRE6dd6uRDnfHTo9kjfpDFiVy6zlsWFnrTT07j0sYD2ZgfEJE50Hi5LjlT9UlB6qgQfenOO92vfOIT7nOei/AMTomf8iz9dzwHaY1y/N72XjdSKMVs3VAgDvmyLR7QBtgBCtWQ+mHWG99DDvLqiae/gKDrelvdXOBFZXXiwhyvBCrTEmuWyy6WypxQVDrLKXQr/S5UJMyhMW9PK7a6nsqETfgveWrxzltucT/jPSyP+AV62iPpz3vZ9G+9Nv2T3qh9lV+4s7zcZ4uRsndROESBBYlbN6Ecj3g597ueWv6TX+zjfpGsz/4aLsU//uM/zkofNtob9T09sKCZNs01kEh/N3qUGoOJmyleAmyrhAl+6lOfMs2eMLvvfOc77gHf9/P8+D/gKTQxBE62YSEqnyAif4uCtk09xHfQb9zPfP7z7nPf+Ibb4Tco8QgE8LzCixi/8mM/5q65+OJwI21AKfNh/kQV0xgMkFaJkthEiZxXXAbUFirLb2lk05nCnFk8BWwxMSxrOIeRTtH51ljcNs36UwwhACvAXto7PuJePXa4LifZxXH3VU+JPu7Z/glPlVA2UDz4d6lH0tVe1nur3+nL+/rcKr9g3VAEKAaUxC8Kita2zZvdc54VPuO1+I3eGXDIU07C65QLtOGGG9wPe8WFKKVGt2WKTEDqJ+fzz/7sz07x3kBhEQ/+8R//0ULmyLsXpPcij95///0WF6C2bSGauBoB8qM4Hgd2r3kgEmrIiyVvufVWd+PLXuZWeARe7+VVEM3F2FEQdNDPyTG/aR73XGKbn4cH/DzsPHJkynp1+3n/8de/3n3AE4DMLsp8ekQ/VGx3W0q9Ri0Ho2gmVq+kOaioJcvFw9wYTSWuu4KYMEvdunYau/Zp4EWlHWNKQls/OhpykpRujPbO31DL0Uhp6WSIFSWAIChS7EbEgauHDrnWWqVODWWr8xThK95P/eHf/m07b56wOBaKqHMA05DSeSc9K0Pem4hJaAKQA7umasBf4RH8fd63fqNflEp0X6YIapOSa+7jh3WjFOElajxggVpLeI4AkJVcJ8qHN1JbbKb0E1GgEWaSee/98pfd5/y/R7dsya4RvIEsjTUBQBZu5UBej5wnY3Kd5F2QGwCJmbPLPIW+yffv7X4uenCKQHlTmd638cjC1W48F2yarCHWIpmY7H1WMGxmQxCIi2L8xnNmDI6bFop+8LnaHM7qFHICPS3hU1FNqngX1CQXd1vNijogv1D4FArbFZWlPfk2t74yHCZIWnqUsd5y003uLZ4qbfFU4J88u9/qFaivemUEG52QE3skLPohTyHQhjFb4bUBhvwCvsrLda99+cvdHV586IbC0L5H6Crn08ecHiBF0mYUFA8TgR2YoND0wzGMA2ae+uQnP2kbiPLhJL5hDcA+iqcIZEYzR4FCIUM+TTdDWqSiUQa233x/b/FK0i2/8Atujx/rE9689FVvCvpnL/qAnBovn3jAMHthAQCBKTahzfkBL2O/wo/hSo+c13nkzBASgoBszz+ULo+s/e3dbtJr7iOeiBClpJOtRSn5FHIeHJ6cUrRBbB6YQ2W7je6lOKvzy97VuTRh71aGr+ayevWimAINrPEEMkwSfaWcu+rITlccGw0UlB2dqoaA5EmQy8MDnood8mzrUPShw9aH/OL1kb7hkQ6F4hw/2Wu9hyfcMBjEiER7rnhWVo3UZzr5UNcAIo+QDxEVoILEtpJ8RyAFxnnkxQ996EPmHULpAjA16RBcfNuqRY9S1Wg+mo56YojPo9wwVsaQcBrMQjs9Gz/qx8ccHIhG+xVetoR9syHX+818lu8j3zPzEsBcyL4sWZW//Rw/vfRst30ibwFAjTARy91Y9HwtVDqEpQ97sxPRbMMx3FKOGRTm28+eFYs/JXFuztFMqiwiULQSHZUnoZkHQT5cHVciTbBvdMhdUA5JWU72PU0kCyItXoZmGe+lnWLgZwEaf09BFCP6qWt+USe9hQDbaKpJpzJoqrHzG5QQrRo7JewSZCWH6fbbb8/C4WT8J6UDxIXKImZA3cnY5LlGZSyZ+1Pk4KIXK/C1Z1YLyZkpcB3ZUfOg34TMcnNGI7/NkxCW+aLNSAQOlzrctrYFmZIjkEKkT+kYopg6ZQ4I7tDgo+e+WcigL+1ZnfdHBBWhU0N0DGqaDszqOBXDgLjWFWXR1F6Gfe3aQS+L5qL8ieE5pgbbS6CcLBATDDVMg0lYFBmmgensfrRD2yBqXMQyue8Nmu408zFFkUojpBo18sb7099n224Gfh5KKDaMu3FcQkp+Z27kWZPrl3HJNSyjPc9ok2eTX63PqUfYb7Wv8EaS9imsWsgqPSMF0yv8Wh4dCZH0zWyhcz2rc85ZnXSR6HlY9lj0DgW5pGBpqAxOfngEbIJa+dcez87R4U8KfGbgz3cuDBPFZGNG0oTzyaQqyEGBDQC/gWySXWX/YyGixm7IKaqsHRXl3PzQVE4gRElNRSkSyszUWPVE15opWs3aSxEy1VMb2X6ezcUGFPVPdVpZL+QdYt7EZZgDrhHboOcBmaE0bq6JOvvfDnf3GXICRM7jgIHAiOAcSYrScg1XJshIr6WThIi2inHLodmVvXnpszoBzA4q8zwRd5byoieNDdSbz0fKIBsZrAHtX4ZcYkkHC63u+MLFHDQZJliUU9SPBZK9TyWq+S4BP/VHc49spaIwLCK/s7AyZk9OTkEgUbBGWTSVEwH56E9nBFF7qcu0USFq/EzbJB7WxsHY2by0kb5TyKmorxjBZX8zPuYHTsT4eY7fY0xt5tRgTvy/8Z5et7e124gGBGNMByV4AoPYZgWLXb3eFkrulKO4cWVP1mszyaQ4evqUj7unuzDnrM7jsTYoOKjQ/xCxlM/CslJOUI4HLYCo0gi5B2QlJ1QFHx6abHNlWA2TKCQU5QMBZQ4BqtWwMCBctN1lwr48KNzL7ycbhhNdnwSRpCy2UQa0ScrnT9H0G43x0yF1KsumManpZ5O5r3+JSqGNE0QVl0AEYkyKhwXJoIYgozYkc5EG3Eh2Z97Q1pMMBX7b09JtZiWcKqG2Z87WRqk7IGpvzNS1qa2EA2PRP8AHYkU7siPaA5fle/tpNPncDyKrsy8pcZKPgnDww1ey8Ct5klTsFLKv/GlRTutg0u6Cnk63t2NhmDwWRLudBVF8qBCViYWyaBHtZfHvNASPRaGt5GAAa8e3nUuQqFlBWCBN2NP1xr+baf+NbTUiZNr+dDKqE4tXLCzjZkwgmDiBgI0tGZPx849+c7/GjjJE0DJtyrnh+3W4a6E7WAysHYSTp7AzHn0IJUUORcEtFYIvHuIkQlNEmfP/lExXTDJ6Twe1H0RWZyVBvvFKkFHCTgvlb8bjiWOh0H7OXJ/5qNljN4ONKJeF33lWFSgOtHS5I10x8huKAHKKzdWib10LI6VHFFMUNPVMsfiSz4TwijWt1ZrKi8nkNXVthmZPlTnTdN+U6uqfUkvUto2/IQxvioavsYCQkeobMF5tUgFIx/gZn6wYEoEk0yugmed4v9/04y2tblu+w5wq/GShda7uBczFpEhRQpCV9W6N5d8VwYa4xzrrSPbRWLd+FjXqb5ruwkwIOmNWp6hjS0zxUMehrAyruzXJwox5ne0xwEBGXeUrwSagxHieGDCTtLOtN7ASEJBJZ8JFOcXurfFaXdaUKJDa+gQKyoWCpJSoCTTmHqUUcLpc/GbiQLP7GlNP9L5pFSeFxoFYonqA2LfiXGH3MXQumx9tTIlEtMX4JcfHwO+n8l322VEq2CNYVHTOO5wOa6HkUQWjqw4seUismSLUUJwR5WQDhWt2nN5Y/5HpLuSnmcjTepTkIUBLS2UMOkRQCO6x4XiGI0WmGHQqLC9sraejtsQsTRQsqKrVdfJd29q71E0ODk1VkjTx2Qjiu8XWYpBDBnKbCrFTBEsCTdKgjjRIOaV+qQbfeD00d2pJmUZxoPGQg/SeRtNVVf2j7yBWUlEvG5fMbvjhaUeB22Ehw2881zjuKLvu7Ohz+12rsXQREv4/GQ3tLTFVp7UYAoPgnBAhmZFAVHFCnoF7ymnDesL2j58+YHlDbZqzOuec1WnjjOH8QlCdDw8lVA4Sg4Hswybap1QdqUfI6Cg9PFDyUiDLHq4U3K4VZ4fdjlmk2TEwLFxKIZj81iS0C/am9BBpvImGW00M+o2uzoZ5CWNODPnZPFTrBzjMhKyN72iG5I1G+pocFClITJE8jggg9s9YlUQosadWqyMtwH2+jT35dvd0vtO8RawjSIroxbpIGy9bHG9g8a2FYJRHbIMwmcUvOl0AkHUgHipLuB0Ae++b3UlzTbM683FSzvisTnUoNdrCBsS2+9qmHnRPR3VsIr+ejCkjocBtNUtdhdLCLkB0DPoWUTOaq7tAgeGk+FjM+zaQPJoCCMxi6llRYgXyluu7u5nppxFhG9l3qqWn7aRyZSP7Ti0B6TMpZH1Rv5HD+cdvYt1KfwERUwopp0W0bWbKZAIji5e5A92LMuRh3VhLafDyDIG4OiwYPAw2z0BRWV9VWIZj8txEPB4TqgrBgVPWZqEoRTjlrM45RzPdu28w1CCvBXsYncWuubLJ0cupZyH9eywm0jFw88knOw3xYHCimsmrZ4/3uxUj/YEygHQslmRTQKy+VqvLm3xKqxWLByklKnioeOWjumjRlP42Mxc1KjCNrtE0Yr7xuenaa2wXaPydvP+8EBNE5D45KiTSyEevVGNkVe4xgbIhTdvfO15qcU93LDaTEgor2nqaJiwzIOsCAaFnxVjCRueuAlDLiWhO1NrJ/alIJ76DG69ZM+u04ylwxqEmgnJ0WXYqWcp3EuSEQiKDymCfov8JK3Ibo8mdi+aoXGYFODBcT2yDgqYRMs8Uut2hUuIuA+FgZ4rEYbEwUqepyVIaQEixdyhLWsDBI3uaczQT0qQauq43xo42e66Z0tSobDUzXdl9qTWCZ1IvmkQasfvUgiGlSg4JwG/ukeEx91BhgTteDsQC37mQc8QORQgiF9yNyiHoGtwDe9chsYDkzUVJMElg/+FvENlyz8brttG5wJyfpOMg4pEY+1lKCunjjwXBGCRUlWposHA6qqnvHy9n5aKL8cAnNEJ2niwEPKMS0zz3vVy3d8UtqgdEgIxKFuNvTFIyXIOUXNOCyg4ohI2UpZaU0A6XmyOKTVZDykczGbJZG83k0LQkD1BrYu6yvwlqEYIJWRkrog3IJ3uxIr30rlyDS9jDiF+fZ1euc4MuiFCwau6WDNkS1wGltZALR1gq4Id1kLyJrZP1Zp3k4jRj/Wg4/hI84Do4gnz7Yo5CnDOL//bugWD7KoTQ/+F4ui0DU9R1CuwmISK7ikHJD98SB5vaRhVvikxKB2nX/P1+oq6e6HfLjh8IrD5ViJTdKb+1tFoWUSYZ/c7tfmEr8WCERnmwkYWncIopKJ3QJpQ0faYZdW5su7E9StnkCRhR35tQ5MxtmQaUJAHI4/mCe6JlkauWTlVYQMTxGA4JSOyizLdOjAPpYH4qacQ6tEVuqGh7nmG18DCJM8IxwfEbVv0Ln5OEfNERA1etBr3fkZiTANJABqLyg8DMABhQKJFSHzCspScOjJ2XIrUGTGIeoq7iSfl9u6eiu5evrRvupa3KZijWDzCh0mBlomIRPQWqNpTXmYlNp783yqPNKF/aXqo0pdd0XWfYN5NNzUYK4vFPbUjurHfqVB99ojgOu6LJnCO5/JSy7Nkt1RDHORDXya65kOSotPFgD81lFZT1bCXaTG36c3UEBsnbivlTzItnCnNGUL2UDnbF7D3FAoZ8lHBmDmyEjmq30X2VxbGzHquhpn0+shvB4ERwl5ZrwavBNWRUmTG2evPItnx7PZsTYNakNMlnLVkVkHHff696ylnzn41ypyBFlFTrThE2ZdONbL4RqaeTU0O3ClOuN35WqeCnekv81piyrN9kobCFCfO0y0/Dk1EhKsZ5h02f9ByKHkAEhGDdLflsXQu5EMsJJ+uIufCwdpWxEbtXTAbr1T9emYIfeKbakgO95gJzRtD2pOTzYLSdIW8CwwrPiuuBctQWzRKAImXa4w7DRKFz5mVuEnvviaV1FB0juRUKvqXY455rX+jGvUxlCpLYH7JnWuAhFoINLw99hLWnCNeMtQoajeszyaypjJr+1uwdjR6oZu+W3FtZurS+0RS5Fc9eyj6Vfm0DrLgdrb1u//I1brTmslOngZK/bzwLGHdTzjRSEqT0gF4//yAmyLso2ksrMWGuXA1u7Eo0DUKg+FsRbvjseeeLOatz7uqVGsi5LI24LTHYA0wVHVVqiARueSdAQAnkE5ElS0scixmDYi18722py0+T5tEouePeTvp0p6cQi5bUFSQAJQIZlcmX8hRl0CoJb0m4XKN7cjqWfjpo5mdPEbkZMqf3Nxr/02uw+apSqqX88Lz87Ir/dHxU3AP5BW53dBeLAsLpRPFS0GsV2GGMKPZtNJa2UXoOukYhFmuQElSYMo7wORA5IJdSa8yZwotC0DQiCeBvNO72eICo3GXp7rWX5gKyMuhjY/U0ZTv8fjIEPjMxfO8qpZXp6u+qRAoAWzlZzbkH2pe456qxcAOBFYqRlO0TzR+W7ll+xSPsdAb56ahgvQ+nIqt+Sw8rmKmN6RSyRsrZeOQ4YYi11KuEaAOyiq37Z/rzLW7TgpV+Uy7MvHxpYQUBlDIcAFvLuBayJlWSxYgQqdpL+axatjyFgI4aqmVjiusS/4DzsaaIdgP/Gmd1wrbpJOYidao7mpYsX9rlsmgmm4BcfRD6HIlsPtUeTaSMv+HdOBQjuNn5TNC+6OevRLYFW1E42J7eJe7pvlUmbxmSKuiZTxaXk9uWLQvmpQZ2m9pCG/OSmrHm9BlBM7EgDQTRs9Pdl7at9qZ898g5idVBtk3EGDiFh7K/97lCl3vKy5snK6H9OkvPZWYfiUgjUT6E+qm2Eki1LKF2rKeS38ytHUnvSGTvPAtCW8RaHJKcMCdiQAnyZ+eZ2UE3uuSszlPIwWx98RRuaIvn4sjjwG6DZafJcmkiFSBPEtq9bGmqkrY4shJTzKPdTYNdmHiZKJvTVaojMROlVBJ7l2dxF+TG3JrJmNbg2SAGefKPJMc1Q5hmJh+JAOlvjZr2dCBkb1ZfP/270ZQ1kydL4ykdPpxZKo6NVdz2vhVuoJY3JOLOQlRUmU8QSm0MxmIbOsayHCkrzYuLjVXC4QeFeGDseIw2m4jCZFdirGcNtaZyc8P1dI13Q8Tetr7PzQJeurM6QQ6QDJmRdFMdO4KM0pIsCAgD4qA0sZO0w5AnIf0dxSC/9sRzlwhMQGcH4djlJ8brNdDp1bB/BkSWwtVZDFT7ZHJf2b9j79i4G930kFszsN8oTgXEjIbu6uiIy1tQRdGKceWiFaA2PmbfkWNr1HdHe/biQb4r1Czlt1xid60ODdq1XGvZFbpOuOIqTw0LE658wMu5wwvd5MFJV6NM+YKF2TOTu3e7XEvJFZeHohHVkWFrp7h0uSsf9bbOyQlXXLHqlPmuIqL4Gch3hIzOkT27PQJ405DHmZOrznW5i653HQuWZfeLMOBIIUesRRVd/Bwfj9yvUAjlivAACv1Zi8lqLitfxDsLhuTBlAjSYUnBLDUYTYlyc2L/DGe0hrbGY7je8o5ZVbZ7abM6lXYcTBXBowDOlOLOxY8u9guiMViTWWoui8Rmd++L9ZqGJqZG4VvufCF/SuqyXHHsVtpKT13mTqsDNXTErfrzn3et44H9VftPGmLlSiHSB6RgoSvHj9pvOfLjB/pdoW9x9p7JHS+EdGSP6KX15xui1cZG3fiTm137q1/lqoMDbnLrZrfgp9e6tssO+Xtj8hqdmCBxz7Pj/T1u+Dtnu7FHt/tN0O4KC/tc5cRxV1i8xE1sftK1XnNdVg7Sfl/YnMqUD+wzpOWe8q7tLt/T60rrzgvPHTrgCstWuPLBA+7Iz/yxO375a00hshhNj1DE5R72bJjfWIPGVGJRUuZVEfNtSYQS10FICBDrOF6pZl5CnuPwDAjDWGLo748xoQp4nkUJ8I25lzqrU6xholI/LBTkJPhAue7KfRd7Bglb4wQMxoNIV8Xdy6AtI9QvLBMIRYXCMmmwdLEP2mPXo2XqPUyczgwF8Rfd9emAnMh+HqkqUCb+ngy+fpCTRc+1trl8d4/JcyAnSFfev9coWsFbBYpnrfVU8SxX3rPL1YaH7N5cXNvi0nG37A9bXfu1+z1F9Ah5pGyiheufNOR0RAetHHALfmyT63n7Qk+JxwNirT3H1TwFb3vFqww52SSAkHP0vu/ZZ+XIIUO6yrGjGUXNe+tD65XXuoKnttX+E25y+/Nhcxkl73JLv/6JzIPDvPZEAoFcCVEA0YoxsU1mItaAeT7mEQ3W3BY5F/cFJM0ZcrIOxRgSyd8m2uOfj6JVW1TGzAHj33soyf5sTEFuAi99VicIE2IEw4CYGBndGRfUkwHhXQruzbJbYXGiQa7pjSwCUFIWsmY1MdfDykFWPhF/QFTeyVEnKloFMFFkhcrL0bFzk32yuLDG0rnn+YXsMCo2vvmJgBQc2uBZJJQTRDUEAlmpZ+rZduX4MUNue66r7qZrvepaf9+4R7p9Lt/rF+HQZKCcy0qU2PCdcewYShHDTz1WTLqOV+x0rWuO2TuA2kQSEugp88SzT9vmANquCQfEFpYsc3kveuQ7Q6oG4keuWC9kke8OVBSqSn/tX/9RV/Au4BQh2iIHgtOAOG0xS1OFaPmEGHRFU6HNX4xCaosV7KwdqGokApgNuYf1os1iLpf533U+0qqYHQEcHT1twPLd012Yc1an2AQ7EYMswjBjCa7LIBMynEWGXKGQAx1WBRIXr01U6oL8aIymEei8RyaLCe6KbEPGZZ6lTX5LI2ZGPRKyoNWBk54yhlA6kK28d49rvexKV9631xVXrw2yZjkgWK6l1ShbccVKu7968oQhdPngflfwlG9y57bQuH+m69bnXL5GIHEhICYwNhkQ028eB8dgTVjwroIh7oKf8nbM4SN+0xxxxZWrAqWksJdnzy0XXmIiCJSwfCgc3DX+2Pdd3suuyMfjTz1hmwhg001ue942lsnMXi6GG9gY4QSFujeI+YHd1mpBZEqPyjYRybks2t1O5xivZCKWahpo06P8KnUDisu9UFO0eCi0kJu2WS8sLSCp2VFPE7Cc+0FkdeI1ai3Ud2JHLL0HmPuzVMgE3EK+znYafcFiJR3RBKIA6KEor3KvkLIufAcNn0lW1d+0BmW7R0IWtHTu+a56InqRPGIVz1ptrBEkNYXHm21g7RNbn/HIM2zUUvaS1iuvceXdO+0soSrIPjRuSFXsO+SKXV586CHeNFJJoI0IKU1AKI3tjpGkFjZZbmDctV900Ng8okbbtVdHZWzMqHWVMjzbtrrS2esCW1+9JjTlxZPS2nXZ2BBBShdcFJ7z1wxB9+0x5M55pW9gZCxTIIsxdZghnYyWEKiZGe3xAI6HAB/mGbckfZbcaAe41AJias61bsrgBdAf0rMKQFQorJRmSz8+jZ+j9oPI6lS5RSgY7z8UI6oBSL5MGMr6FAxH+YYdmIuuNpDtWIzMZnJBOExWJHFJvqUNGYfZGGORYgcIFFSsbdJrs8aiPSJM+EWHGlYHAgutRLegUayREJlfOudcV/MLPPn8c362qkbZjCr5Bc/3LrSFRzHiX9u142HWfB89vXLbdtXc89v839geu0qQEFbZnci1Wa6PAau0pOA6XluyvqKYTXq5Fhj7/qOBEvq+tpx/sSl0hUWLjcVXjh42hQrRAGREDACBkaGhvNwDh6h5MxMWhwk/7tzS1SY+jVeC/C8xqKchTmIghj92xNM7BuP5R1KOeq0IWCVztKSu6gXxsLbh5JA2DdPSPmK1mSC31pMjZ4Cbprsw56xOgM5DwehQWukuF3dt2I25KWwcedIoYCk/5biaUi6XHVXD/ULUk9ERALGqRoo7HI3MC2McoiqUMBFM2rbb/72rrDnf5ExkOGOVHiFhgVKUJp5/1uQ2WOXYQ993OW+CwvzkBVOjbIYk3uMExeVZqNTkC1tdvn0kUEvfr8e2drousnd9x7Y/E4OtLbLIb9yD3lQznMfaHaisp0TIrn4nmMzZct6FXqQY9Qi4wKifsWxqm2JdOHLYfjOSVikHRPSImmuoIVXzG6y4arWXW6+yd/bf/MNTCgRDBMTGhXiyNXdFTbwWkQo2PB7lyEHznwfbqAgK5qoQb1G2cu5ARzTkS8aUw0SyLWKd3nUamDarsynxnY2xfuPegaAg4Q0qhIgVyYrS8MdipDymCBQbQZCNysF0QUGHiUrGEmS/Y9CLE9MUbWkT1MuPBwtCWiRAQn3lyD7X/eRdLj/s+9lTN3EM7t/vOpcu9UjlnyWqiZPp/L8ix2MfO+ZaOjvcxNCI61gcZVd/3/jJk64tFjJbt/53XHHskDvh2t3ewy3usnNH3Indk659uW9rwHOT7hZ3dPuEe2K7c5deUnBn9Xlq3Nri2mu4W53bfvz3XXmyz5X9Zih7E1bea/ITg0OufVFwv5axv7LIXtwoU7/UK1FVj7gtnkKO9fe7jhi/ms3l0JBr8Rr8yDmXuyOrLrG5VXnu1iResxgN+GL7k9V66k1muovOFhjeeAyPbE9MRyBsJeaUYfvUupZj8E+oYV+bkmYsz+Lr1py2ul3Tszrn7En63v7BzMxTlS85XqunsOayjE3Zz/hVkUwMWn57AGRD4SJ6Bu2zFLVz2JO8Sam9jYnVRNMERn0mTnkxOtxUgbYqIiEklqdFE8k92hhQDPmx5Y5lAV81cLPr6H/c7T/m5brhgrv4orzJov3HK+7weLcbHc+7rg5PzUe91lzudyOtPa7/0IB75bUFY//3rd7tavkF2al7SiTUBoYDUOxXzohGO/BoHH8aYCxgbk74OV0R3ZUqdck84D1SFi7AHKkCDPNqUUfR+iIwH34lWGb4uxrnSKF4aZaErDjcI10hzeKdxWGywClIOuesztCZ8PehkbJpc4oHpNMno7FWp3qAnCyGzpIHGJhFQeELjhSX31gchHAmQtq5JkkeLGDYWHo8ya5Sb1cUdVUU4CUjqUyPQvwGJ+qysYKrVbC1Ugv/WDzeyQahT0Oly/zN3tSyqsUdH/I2wUG/aSreQtHv5Uovh45NsrH8BinUbHb37hpwZ53d6SZHvFzWda73mffG86LCXJmHrVjI/ObMk/pQKuQyrVogqqd68LL/TiZmIcmGomQdcaOdiJtBc7SoPWx42hiLiKhYB5Uq6oj15yEyYt+sUy2+s5DYo6WDSHkeihXuzgBeuqxOPEkgBxuyFG2bKoOiHJX0pNtxK4USipqyS8VWtPClaECWnArUogaYUhKLjJqsTDFzAaKQjYWqhierWWGzZvnZKRXVd5rU++jD0GT9SJ1C/93uuqE7rPPD3ji/2/sAxryutfr8djcxTg5Vi1u8YMId3enNX11+8bxbszI64dYsd25/x3vdrmWfMA4BcujEDNrHPtzZUDdVph5RSpWkscMn2MB5yfcuo/RAuilTULbmcDQxsRZwIOYSIsLcyqmS1gEdi+Y/ELMryp2qa1Cxv3NGnJg743IxHUSiGPfPNeVjzgh6n2fxTDRyIQMuxh2mwenoGRQoFiJNRw7ZneHoEp5Z2Oap61j96Bp2cG80HgPjRlmT4Im4SN0RsQVM5LGxuk9epVsQERqLrpoVIMpp6WLIK5WP4gagQIm2aG14df8dbkHtgdDQcW/7XFB0pwRZWkejrcZ8wAX38KLH3Uh+tW0Apr3DysuExWcheTdxsWZzTKrEqfAv+EcKTNkQMDQt9kxfCUTWBu5rK2apv2L1ak925GrNnTIvOqmYaxCU9kiph6LrmrZTpUfiVFbDHqtNORR7UO0mnpuFDNoU5hwPyqItjnJTipzAZCVUoVAI15JEw2cRmFSoBYiEyYIpkk9d53yKdQfTRf2QKIV+KeI+BRAIWYufETm4d1EMqJVXI72XBWXhoQLcbxOSC1YIyValaIOVf5oon22L/5ebPBEzLNviQxPBazQFzAiYN+R8tvS7rlxaa31rjYfwqt1UjIGa8TkwXsk8bOG+kBLDs33+HgJARO1aIrUC2UHevrZipMTRM5RkLuSjZn5irJIhp+YagqMU5GCiCnlmQ7H2PAByHhmtjxMLgSXU5YLuUIxeQjYSwHrMQoufFl5UwLIQBMUitXUywSnulCILkC2TQUk2GYsV8dKNzLN9kc3LTsrEY2sdi4sW7K/hIShyozstjWvkflkANLmWM1OuZPEBun+yWstsh1Le5FdWTs9wbrXbsv7rbqy6MniMAPzvjbNZDsbvFwq/7E4s+vnsoNVwfHU1K0vJAks2ZJHZMO1Rjj8UAz1so8Yjr7kXhNRYSrGYQsj9iif/FfKJdSOcsqKT3xjf4ih/Au3FEDg+HmVLjbsS7dFBJKtl1ZXZIGMWRlfJOCivUuR9GHowYZWrc2LQ9bVzLwLS/CEZz4UoCmhVNLUWR6xFKQXsrmqDvNoRz5vXolnUkr+PyWgrBMrHzkR+AsGgJKJCMoekEeQsZupEAIJHKyC/XIBMdHdSYUNcYWmsu67fLGQtd4nbsuyf3P6e97r4kmCoF6B0ddzoHu260+3r+43MFKOAp5TrVGI0GPdAqUBg+rkwUtPRqKSkSYkgGZq/gj7C4a6VKcdf1+I4xX5pNx0fCK3ERR6RjC6DPJRTRnfWEk7IlUIMfu4q1RW21CrAJ8g60JBxMReYswx6z77BWKvnVDNIqqgoXUBKBhRhQVshU150VB4LIfkmlZnUhvLjaVumoEaQG1UnjEjhSINz5VodT+yFKUiBORmVN5B3SZJIxuRnSpyLdrrxnW5h1RvfR55wJT+eE/3trr/7Bm8TvdJYHUMpxuBfQfZsMm9cl4UChCxGRGh2aEHmTcsFZaclavy612zRtZBZm5rmmAv2WiV6k7guxK8lbkkpP0I8NgR9pk9pfxQbqqBn3KcL4lHs7TFNnPWda+mbF6XFj8VAkXTiy9H8pFo+Ev41gToMqiUelchkM4hUG1QcKQgnYVsKjxL0oJxyv7XEc3pSDbjfQstCYYmUqjSD9MhGwPL8k/PP+2P5Fi0M4xhsqCUFpIebZUcD1oJSBwuVrZNF5dQTyeMAi3AkZrda6osLtsVs88ZT+QBt+nD6W25K/7UZdb82Lf3hey3ajpVblGYrDMRSmuNRWxfCp5Hz6BfqRzWObSQqrKm1JS3zzrOztIOeAnNm8ap8VkhYpgIRJqKcWIsdZSKZJPnlW2M1kpZCLgY4O3cwyjfazVwPNYHymY2yPcqvkzFYIZzRU8vyu1sL9RxsJodFAOkr0+xB5NiRWA1YMZKmiBSD+US2yd7oe85kvujPFitU2Wszr2FvHCtnNYoG4sFlZGeovUDda/HAs5gY54Io0R7zhBgP19ojG9Ux53p/d7QTQ6lORKprSlWky4aMcR7DXBazcDitWYqc5cjmS/m6a1IbEpGGBDodt677tafp18EoKwO1KDrJjV2pzZ3PzxlBu1ryU+yHgzEVw44eiYvemRTQT8tG8xisPlDIcF3UBSQHAWX+AZS63BHlnrSsI38WcnUrjwpEaCczOfpb7BOgjWUxrrFaq2Uy7Gjse2qCsSyAGOF/PB7LwsKKkiMS0O/g2Qru3tZYxx3kVhaBFnc4ltquRnNRfSy1THksRM8c/6S8MA8obGxm5YIxLwpxpA+p0jU6WScIA97KcDweG1OIRCFl1UEBzMdqLqEP/bFEJkDdrLG0nOZkvWaWvIFyguRydY+Xwu/mCnPO6mSgGsgBj2zIIZKremL+dSMMTdbjDdGaZaiHBgqJQHIpMrLXpdAZw/jkMlX1EikhqXYMleJeUQyx/4GJSiYWACCOKK+ovUxAgIImWFjGJtY6PFmdchAE72VBTN40+S0sJM8vTmIRSlE+1kYLwTBBNtTYpeSxkSfjkecQAfO+5evzI7DS6nHD0YQQX2OGOPRFI7rK0bRG5QbqqCh5LBtpli3j7IrxFalewHp3xFNbdHCwzigYiC7s4MGqziaiPoWNLsnqzIcFyJ30/74c80J+cTatoDiolGJfW2A/2k0AyfpadDsggWNKJoIMwwCUbgAlKiT+cH3CMuT3lSZqpVdyLlKPQH3N7BPNHEpXRjHhfVCx/hjRoxhSacwpIPu1FeoypiJ6rETMeDnWbI/nQVXqAdcqSQiSmpMhymdjUbNms3VEii9LgWnqLcEioaNeCjHbUhFgqifAs2zkwKrrR0vyLmVRhuK/MUC5GuY2azcqZyB53ZWaz7IRJF9CHUHgYB0oZBYLHZRh8vHo5JTSNoC+61wCHjPRr1jfZJ2lwplQUBLnbo64aEHMp6B2dNafFkmr/qWSyXQ2vEDurUIU8o29YwqKWnNPTAcZjD5jURLsfEwwlKkrsl7+sQvDIbVhIwipT47VjzzR+UsAbHVBdLcujHKhbKY8J4FedZ6kpRcTBJV8GMwyYZMocAJvjygjw4Z9Aqk2K2RHzm2JhnlGmS4VVHbICvVWMm19OFY6ljyv9OwhyxsqZ9TNAjVi0AgbQSxVBnXGzryzRiA577cs3FIoZSMklOxtyJBQXfrJM0etHlNg8T1x3rRezDNtDsQymSBkb0wr0Tw2WiBmgKZZnU1pb0TSjW4GAAHaY0fk5yYusz7YXHag14HoxUldjiwsMqA8RABmkeGyouWDexPqwC5UuRxphiDugljCcTxStTQQBZASEbwn8USRaPcjWAM5GhBF1nUhKpNdSJwIuWQBZb2o1uoUlYUvR8QIY4wHlUV5j0/JwRJR+mIwivpq97kg6ujM00JUThbYxnSZ5YP5WJBEbx1PnBXZ5muv23CLMVoL4CeVzJSrUhVdABVeoB+aUyve5udbhElTbUHPLriGEe0ai4j1tpzWk7SxGXICc87qPLe3NQvYaI8GX86Nb0sORhALSsPClP6BrKPsQUDn8BA4y+2ICLAsKS/sXuW/Dxn7Dc8o4iYXPRnyukjUQPabSDRmGb3puxaRtkQZVIwCZJEHaTD6urUgiu4BxMboF+/viGGEwSMTTE+56PlCjpQyiKXjWOQA1ajIqf+iOSZ7Opfloo/HoA2QTEgg85vVl2+tm6F08OtAFFVUGDhYV2pRRixkrN6UwBhdr/nGIaJsTgtqjsHm9fOtXLaGyvCU12k0IjsU+4K+dncamDarc1r6G8OdTrgZgM5uPT7mDsWKu422RuTIxXHSUyMwoJqiUDImvTsxX8hgnZVpiYb7cLJEPZsTJIICMVEmd/pnwmG2hez0M5laANnmzJwkJM5NnQQpeqJKsqcS2CH+rAgrBWWk0UONTob9Me9fwL39sYBvGq3EWJBL02Du0UjN1b6i31Nlr5ALvvjOxNGhtWmNdZF6koJsqsaiE+TKlVrmv9f8KBp/SaxAosovqlufz9WDWFK7Z2rCGotR+hcsbD/FmdMEFk6XODfjk3M14s/DPJwJ5GaoITTnrM55mIeXCn4gWZ3zMA8vIdw03YUXldU5D/PwEsFLf1bnPMzDSwgbatOc1XmKcFo7g7M652EeXmI4JavTEDQKqRtcYOsb3DzMw78ebHTBBr/RXPDzpqR5+LcMLyrlYx7m4QcN8wg6D/+m4cUg6EaXxO25OcSUzrc73+5poTY3+PBp2vxIbW4w3+58u1NgLgg6KwP+HDo13+58u6fAmSLoXe4MoBYKQc23O9/umbabwZki6B1n2KG3zrc73+4c2s3gTO2gC093uEJDh04bUzrf7ny7M8H/D8z/uzMmHrhQAAAAAElFTkSuQmCC"),
(5, "Александра", "Корысткина", "ИНКОД-19-1", "Номер не указан", 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<KEY>"),
(6, "Василиса", "Ларцева", "ИНКОД-19-1", "Номер не указан", "iVBORw0KGgoAAAANSUhEUgAAAKgAAAC8CAYAAADsDOU5AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAJuDSURBVHgB7b0HnOXnWd/7nDO999nei7RqVrWarYJxBWNjG1NDcQiGGy42xblx4BI7CSGEEBuHQBzAgWDjGtwLbiqWbMnqbbWr1fY+vbczM+e+36ec/3+2aTWSgM/97Pv5zM7OOf/ylud9yu8pb6GcmpxnK6Qmz7Odz/MvPPfCc8/Wis/n4vTs9pfi+gvPfX7X/f/9ufn2vAg0tVvl+bXbzvO6C8+98Nwzt/Lza3c8z2ffceG<KEY>"),
(7, "Артём", "Лебедев", "ИНКОД-19-1", "Номер не указан", "<KEY>GED<KEY>),
(8, "Самир", "Махмудов", "ИНКОД-19-1", "Номер не указан", "<KEY>"),
(9, "Дмитрий", "Мельников", "ИНКОД-19-1", "Номер не указан", "<KEY>ROME<KEY>"),
(10, "Данила", "Митусов", "ИНКОД-19-1", "Номер не указан", "<KEY>//+<KEY>//<KEY>),
(11, "Дмитрий", "Никулин", "ИНКОД-19-1", "Номер не указан", 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"),
(12, "Регина", "Рюмшина", "ИНКОД-19-1", "Номер не указан", 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<KEY>),
(13, "Татьяна", "Савунова", "ИНКОД-19-1", "Номер не указан", "<KEY>),
(14, "Алексей", "Семёнов", "ИНКОД-19-1", "Номер не указан", "<KEY>LY<KEY>//<KEY>");
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/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `shipment`
--
LOCK TABLES `shipment` WRITE;
/*!40000 ALTER TABLE `shipment` DISABLE KEYS */;
INSERT INTO `shipment` VALUES (1054,1,'2018-04-11 11:17:39',1,0.00,'Sathes'),(1340,1,'2018-04-11 11:21:13',1,0.00,'Sathes'),(2989,1,'2018-04-11 10:55:46',1,0.00,'Sathes'),(3915,1,'2018-04-11 08:37:02',1,0.00,NULL),(7585,1,'2018-04-11 11:20:45',1,0.00,'Sathes'),(9706,1,'2018-04-11 11:17:24',1,0.00,'Sathes'),(9800,1,'2018-04-11 11:17:19',1,0.00,'Sathes');
/*!40000 ALTER TABLE `shipment` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `shipment_details`
--
DROP TABLE IF EXISTS `shipment_details`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `shipment_details` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`shipment_id` int(11) NOT NULL,
`product_id` int(11) NOT NULL,
`quanitity` decimal(8,2) NOT NULL,
`price_per_unit` decimal(8,2) NOT NULL,
`price` decimal(8,2) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `shipmet_details_ak_1` (`shipment_id`,`product_id`),
KEY `shipmet_details_product` (`product_id`),
CONSTRAINT `shipmet_details_product` FOREIGN KEY (`product_id`) REFERENCES `product` (`id`),
CONSTRAINT `shipmet_details_shipment` FOREIGN KEY (`shipment_id`) REFERENCES `shipment` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `shipment_details`
--
LOCK TABLES `shipment_details` WRITE;
/*!40000 ALTER TABLE `shipment_details` DISABLE KEYS */;
INSERT INTO `shipment_details` VALUES (1,3915,2,6.00,1.00,1.00),(2,3915,3,1.00,1.00,1.00),(3,2989,3,1.00,1.00,1.00);
/*!40000 ALTER TABLE `shipment_details` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `shipment_status`
--
DROP TABLE IF EXISTS `shipment_status`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `shipment_status` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`shipment_id` int(11) NOT NULL,
`status_catalog_id` int(11) NOT NULL,
`status_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`notes` text,
PRIMARY KEY (`id`),
KEY `shipment_status_shipment` (`shipment_id`),
KEY `shipment_status_status_catalog` (`status_catalog_id`),
CONSTRAINT `shipment_status_shipment` FOREIGN KEY (`shipment_id`) REFERENCES `shipment` (`id`),
CONSTRAINT `shipment_status_status_catalog` FOREIGN KEY (`status_catalog_id`) REFERENCES `status_catalog` (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `shipment_status`
--
LOCK TABLES `shipment_status` WRITE;
/*!40000 ALTER TABLE `shipment_status` DISABLE KEYS */;
/*!40000 ALTER TABLE `shipment_status` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `status_catalog`
--
DROP TABLE IF EXISTS `status_catalog`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `status_catalog` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`status_name` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='list of all possible statuses: ordered, paid, delivered';
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `status_catalog`
--
LOCK TABLES `status_catalog` WRITE;
/*!40000 ALTER TABLE `status_catalog` DISABLE KEYS */;
/*!40000 ALTER TABLE `status_catalog` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `stock`
--
DROP TABLE IF EXISTS `stock`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `stock` (
`product_id` int(11) NOT NULL AUTO_INCREMENT,
`in_stock` decimal(8,2) NOT NULL,
`last_update_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`product_id`),
CONSTRAINT `stock_product` FOREIGN KEY (`product_id`) REFERENCES `product` (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `stock`
--
LOCK TABLES `stock` WRITE;
/*!40000 ALTER TABLE `stock` DISABLE KEYS */;
/*!40000 ALTER TABLE `stock` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Final view structure for view `product_details`
--
/*!50001 DROP VIEW IF EXISTS `product_details`*/;
/*!50001 SET @saved_cs_client = @@character_set_client */;
/*!50001 SET @saved_cs_results = @@character_set_results */;
/*!50001 SET @saved_col_connection = @@collation_connection */;
/*!50001 SET character_set_client = utf8 */;
/*!50001 SET character_set_results = utf8 */;
/*!50001 SET collation_connection = utf8_general_ci */;
/*!50001 CREATE ALGORITHM=UNDEFINED */
/*!50013 DEFINER=`root`@`localhost` SQL SECURITY DEFINER */
/*!50001 VIEW `product_details` AS select `p`.`id` AS `id`,`p`.`product_name` AS `product_name`,`p`.`product_description` AS `product_description`,`pt`.`type_name` AS `type_name`,`p`.`unit` AS `unit`,`p`.`price_per_unit` AS `price_per_unit`,`s`.`in_stock` AS `in_stock`,`s`.`last_update_time` AS `last_update_time` from ((`product` `p` left join `product_type` `pt` on((`p`.`product_type_id` = `pt`.`id`))) left join `stock` `s` on((`p`.`id` = `s`.`product_id`))) */;
/*!50001 SET character_set_client = @saved_cs_client */;
/*!50001 SET character_set_results = @saved_cs_results */;
/*!50001 SET collation_connection = @saved_col_connection */;
/*!40103 SET TIME_ZONE=@OLD_TIME_ZONE */;
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
-- Dump completed on 2018-04-12 21:18:27
|
CREATE TABLE IF NOT EXISTS Article (id integer
AUTO_INCREMENT PRIMARY KEY, titre string
, contenu text
, date date
)
|
<reponame>concosminx/sql-scripts
/*
find all sessions that are blocked and which session is blocking them
x
find what the blocking session is doing
*/
SELECT sid,
blocking_session,
username,
sql_id,
event,
machine,
osuser,
program
FROM v$session
WHERE blocking_session > 0;
SELECT sid,
blocking_session,
username,
sql_id,
event,
machine,
osuser,
program
FROM v$session
WHERE sid=491;
/* blocked sessions and who is blocking them */
SELECT sid,
blocking_session,
username,
sql_id,
event,
machine,
osuser,
program,
last_call_et
FROM v$session
WHERE blocking_session > 0;
/* what the blocking session is doing */
SELECT sid,
blocking_session,
username,
sql_id,
event,
state,
machine,
osuser,
program,
last_call_et
FROM v$session
WHERE sid=746 ;
|
<gh_stars>0
select name
from city
where countrycode = "JPN";
|
SELECT
geometrie,
maechtigkeit,
maechtigkeit.dispname as maechtigkeit_txt
FROM
afu_grundwassergeometrie.grundwassrgmtrien_grundwasser_mittelstand AS grundwasser
LEFT JOIN afu_grundwassergeometrie.grundwsrgmtrien_grundwasser_maechtigkeit AS maechtigkeit
ON grundwasser.maechtigkeit = maechtigkeit.ilicode
;
|
INSERT INTO department (name)
VALUE ("Human Resources"),
("Engineering"),
("Accounting"),
("Administration"),
("Sales");
INSERT INTO roles (title, salary, department_id)
VALUE ("HR Specialist", 55000, 1),
("Software Engineer", 105000, 2),
("Accountant", 89000, 3),
("Office Administrator", 49000, 4),
("Salesperson", 55000, 5),
("Best Software Engineer", 155000, 2),
("Lead Salesperson", 75000, 5);
INSERT INTO employee (first_name, last_name, manager_id, roles_id)
VALUE ("Evan", "Bulliner", null, 6),
("Tiana", "Bailey", 1, 1),
("Sam", "Page", 1, 2),
("Leslie", "Rogers", 1, 3),
("Jermaine", "Cole", 1, 4),
("Reggie", "Hightower", null, 7),
("Riley", "Freeman", 7, 5);
|
CREATE OR REPLACE FUNCTION common.log_kv_changes()
RETURNS TRIGGER
LANGUAGE PLPGSQL
AS
$$
BEGIN
INSERT INTO common.kv_history(id_old,key,string_value, float_value)
VALUES(OLD.id,OLD.key, OLD.string_value, OLD.float_value);
RETURN NEW;
END;
$$
|
<reponame>felamaslen/budget
--bucket_indexes (down)
DROP INDEX buckets_single_null;
|
<filename>src/test/resources/sql/_unknown/d14a028c.sql
-- file:insert_conflict.sql ln:425 expect:true
|
INSERT INTO "public".capabilities (service_name, service_version, protocol, value, mime_type) VALUES ('test-service', '1.0', 'rest', '{ "swagger": "2.0", "info": { "description": "REST API documentation.", "version": "1.0", "title": "service" }, "host": "service.hltech.dev", "basePath": "/service/v1", "paths": { "/details/{reference_number}": { "get": { "summary": "Query details", "operationId": "getDetailsUsingGET", "consumes": [ "application/json" ], "produces": [ "application/json;charset=UTF-8" ], "parameters": [ { "name": "reference_number", "in": "path", "required": true, "type": "string", "default": "123456789012345678" } ], "responses": { "200": { "description": "details retrieved successfully", "schema": { "$ref": "#/definitions/details" } }, "400": { "description": "Request for details is invalid", "schema": { "$ref": "#/definitions/ErrorResponse" }, "headers": { "X-Reasons": { "type": "string", "description": "Comma-separated list of error slugs" } } }, "404": { "description": "Details with provided identifier was not found", "schema": { "$ref": "#/definitions/ErrorResponse" }, "headers": { "X-Reasons": { "type": "string", "description": "Comma-separated list of error slugs" } } }, "500": { "description": "Internal server error", "schema": { "$ref": "#/definitions/ErrorResponse" } } } } } }, "definitions": { "ErrorResponse": { "type": "object", "required": [ "errors" ], "properties": { "errors": { "type": "array", "description": "List of errors", "items": { "$ref": "#/definitions/error" } } } }, "error": { "type": "object", "required": [ "code" ], "properties": { "code": { "type": "string", "example": "invalid_ref_num", "description": "Error code", "enum": [ "internal_server_error", "malformed_request" ] }, "message": { "type": "string", "example": "Invalid reference number", "description": "Error message" } } }, "details": { "type": "object", "required": [ "amount", "date", "name", "number", "reference" ], "properties": { "amount": { "description": "Payment amount to be collected", "$ref": "#/definitions/amount" }, "date": { "type": "string", "format": "date-time", "example": "2018-03-15" }, "name": { "type": "string", "example": "Account 1", "description": "Name of the account" }, "number": { "type": "string", "example": "12345678", "description": "Number of the account" }, "reference": { "type": "string", "example": "123456789012345678", "description": "Reference number of details" } } }, "amount": { "type": "object", "required": [ "currency", "value" ], "properties": { "currency": { "type": "string", "example": "GBP", "description": "currency" }, "value": { "type": "number", "example": 1000.12 } } } }}', 'application/json');
INSERT INTO "public".expectations (service_name, service_version, provider, protocol, value, mime_type) VALUES ('test-service', '1.0', 'test-service', 'rest', '{ "provider": { "name": "backend-provider" }, "consumer": { "name": "frontend" }, "interactions": [ { "description": "a request for details", "request": { "method": "GET", "path": "/details/123456789012345678", "headers": { "Accept": "application/json" } }, "response": { "status": 200, "headers": { "Content-Type": "application/json;charset=utf-8" }, "body": { "amount": { "currency": "GBP", "value": 1000.12 }, "date": "2018-03-15", "name": "Account 1", "number": "12345678", "reference": "123456789012345678" } } } ], "metadata": { "pact-specification": { "version": "2.0.0" }, "pact-jvm": { "version": "3.5.14" } }}', 'application/json');
INSERT INTO "public".service_contracts (name, version) VALUES ('test-service', '1.0');
INSERT INTO "public".service_versions (name, version, space, environment_name) VALUES ('test-service', '1.0', 'default' ,'TEST');
INSERT INTO "public".environments (name) VALUES ('TEST');
|
<gh_stars>0
--
-- Clean up the schema of the original NSBO PostgreSQL database, to make it
-- more suitable for third parties.
--
-- This retains only public byway and place data.
--
-- To make a clean dump:
--
-- pg_dump -Fc --no-owner --no-privileges > pgsql/byways.dump
-- Remove secondary data schema
drop schema forums cascade;
drop schema funded cascade;
drop schema geoip cascade;
drop schema grants cascade;
drop schema nom2008 cascade;
drop schema verification cascade;
-- Remove CMS data
drop table workbins;
drop table workbins_workflows;
drop table workflows;
drop table working_activity_links;
drop table working_asset_alternate_files;
drop table working_asset_properties;
drop table working_asset_request_reviewers;
drop table working_assets;
drop table working_blm_road_types_byways;
drop table working_byway_aliases;
drop table working_byway_itinerary_links;
drop table working_byway_place_links;
drop table working_byways;
drop table working_byways_states;
drop table working_collection_memberships;
drop table working_collections;
drop table working_contact_role_assignments;
drop table working_designated_intrinsic_qualities;
drop table working_designations;
drop table working_directions;
drop table working_extended_descriptions;
drop table working_feature_schedules;
drop table working_illustrations;
drop table working_itineraries;
drop table working_itinerary_entries;
drop table working_places;
drop table working_season_descriptions;
drop table working_states;
drop table working_static_maps;
drop table working_stories;
drop table working_story_byway_links;
drop table working_story_illustrations;
drop table working_story_series_memberships;
drop table working_visitor_service_links;
drop table working_website_link_categories;
drop table working_website_links;
drop table content_notes;
drop table content_log_entries;
drop table content_role_assignments;
drop table content_role_privileges;
drop table content_roles;
drop table managed_content_types;
drop table metacontents;
drop table notes;
drop table auth_roles_assignments;
drop table auth_roles_privileges;
drop table auth_roles;
drop table download_request_items;
drop table download_requests;
drop table byway_page_views;
drop table offsite_link_stats;
drop table map_request;
drop table asset_location_statuses;
drop table asset_request_reviewers;
drop table feature_images;
drop table feature_schedules;
drop table feature_slots;
drop table map_regions;
drop table map_symbols;
-- Remove personal information (probably obsolete)
drop table contact_list_memberships;
drop table contact_lists;
drop table email_list_member;
drop table email_list;
drop table contact_role_assignments;
drop table contact_role_contexts;
drop table contact_roles;
drop view contact_details_view;
drop table addresses;
drop table program_staff_roles;
drop table other_contact_points;
drop table phones;
drop table contacts;
drop table dashboard_file_comments;
drop table dashboard_file_permissions;
drop table dashboard_files;
drop table user_dashboard_panel_preferences;
drop table dashboard_panels;
drop table user_group_memberships;
drop table user_groups;
drop table privileges;
-- Remove extra implementation-specific stuff
drop table schema_migrations;
drop table wishlist_item;
drop table wishlist;
drop table traveler_experience_links;
drop table traveler_experience;
drop table senators;
drop table congressional_districts;
drop table map_placements;
drop table indian_tribes;
-- Remove news
drop table news_post_object_links;
drop table news_post_attachment;
drop table news_post;
drop table news_clipping;
drop table news_category;
-- Remove events
drop table event_occurrence;
drop table event;
drop table timezone;
-- Remove other CMS stuff
drop table storage_space;
drop table file_space;
drop table users;
drop table object_type;
-- Remove content likely to be obsolete or unused
drop table activity_links;
drop table activities;
drop table itinerary_entries;
drop table byway_itinerary_links;
drop table itineraries;
drop table story_series_memberships;
drop table story_series;
drop table story_illustrations;
drop table story_byway_links;
drop table stories;
drop table website_link_categories;
drop table website_links;
drop table websites;
drop table website_categories;
drop table collection_memberships;
drop table collections;
drop table asset_alternate_files;
drop table creative_commons_licenses;
drop table static_maps;
drop table static_map_legends;
drop table static_map_types;
-- Remove unused sequences
drop sequence activities_id_seq;
drop sequence address_id;
drop sequence change_approval_id_seq;
drop sequence change_transaction_id_seq;
drop sequence dashboard_file_comment_id;
drop sequence dashboard_file_id;
drop sequence dashboard_file_permission_id;
drop sequence experience_id;
drop sequence file_space_id;
drop sequence goal_id;
drop sequence iteration_id;
drop sequence itinerary_entry_id;
drop sequence map_regions_id_seq;
drop sequence map_request_id;
drop sequence news_clipping_id;
drop sequence news_post_id;
drop sequence object_id;
drop sequence occurrence_id;
drop sequence other_contact_id;
drop sequence phone_id;
drop sequence query_id;
drop sequence role_id;
drop sequence source_id;
drop sequence status_id;
drop sequence storage_space_id;
drop sequence story_links_id;
drop sequence tag_id;
drop sequence task_id;
drop sequence unit_id;
drop sequence user_groups_id_seq;
drop sequence view_id;
drop sequence website_id;
drop sequence static_map_legend_id;
drop sequence static_map_type_id;
drop sequence static_maps_id_seq;
-- Remove non-public data (we don't have permission to distribute copyrighted assets)
delete from assets a where copyrighted or not exists (select * from illustrations where asset_id=a.id);
delete from illustrations where asset_id not in (select id from assets);
delete from asset_files where id not in (select file_id from assets);
update byways set primary_photo_id = null where primary_photo_id not in (select id from assets);
update byways set logo_id = null where logo_id not in (select id from assets);
update byways set roadsign_id = null where roadsign_id not in (select id from assets);
-- Remove columns we won't use anymore
alter table assets drop column copyright_holder;
alter table assets drop column copyright_date;
alter table assets drop column copyrighted;
alter table assets drop column usage_rights;
alter table assets drop column usage_conditions;
alter table assets drop column download_restriction;
alter table assets drop column external_url;
alter table assets drop column creative_commons_license_id;
alter table assets drop column delta;
alter table assets drop column permission_notes;
alter table assets drop column permission_status;
alter table asset_files drop column remote_file_name;
alter table asset_files drop column remote_file_size;
alter table asset_files drop column remote_content_type;
alter table asset_files drop column remote_updated_at;
alter table byways drop column display_type;
--
-- Clean up schema for better referential integrity, etc.
--
-- Split illustrations (EF Core requires primary keys on join tables)
create table byway_assets (
id serial primary key,
byway_id int not null references byways(id) on delete cascade,
asset_id int not null references assets(id) on delete cascade
);
SELECT setval('byway_assets_id_seq', COALESCE((SELECT MAX(id)+1 FROM byway_assets), 1), false);
create table place_assets (
id serial primary key,
place_id int not null references places(id) on delete cascade,
asset_id int not null references assets(id) on delete cascade
);
SELECT setval('place_assets_id_seq', COALESCE((SELECT MAX(id)+1 FROM place_assets), 1), false);
insert into byway_assets select id, illustratable_id, asset_id from illustrations where illustratable_type='Byway' and illustratable_id in (select id from byways);
insert into place_assets select id, illustratable_id, asset_id from illustrations where illustratable_type='Place' and illustratable_id in (select id from places);
drop table illustrations;
-- Simplify column names in asset_files
alter table asset_files rename column local_content_type to content_type;
alter table asset_files rename column local_file_name to file_name;
alter table asset_files rename column local_file_size to file_size;
alter table asset_files rename column local_updated_at to file_updated_at;
-- Clean up routes
alter table routes rename to byway_routes;
alter table byway_routes drop column resource_type;
alter table byway_routes rename column resource_id to byway_id;
delete from byway_routes where byway_id not in (select id from byways);
alter table byway_routes add constraint byway_routes_byway_id_fkey foreign key (byway_id) references byways(id) on delete cascade;
-- Referential integrity for other assets related to byways
alter table byways add constraint byways_primary_photo_id_fkey foreign key (primary_photo_id) references assets(id) on delete set null;
alter table byways add constraint byways_logo_id_fkey foreign key (logo_id) references assets(id) on delete set null;
alter table byways add constraint byways_roadsign_id_fkey foreign key (roadsign_id) references assets(id) on delete set null;
-- Split Visitor Services
alter table visitor_services rename to visitor_service_types;
alter sequence visitor_services_id_seq rename to visitor_service_types_id_seq;
create table byway_visitor_services (
id serial primary key,
byway_id int not null references byways(id) on delete cascade,
type_id int not null references visitor_service_types(id),
available boolean,
description text,
created_at timestamp,
updated_at timestamp
);
insert into byway_visitor_services
select id, location_id, service_id, available, description, created_at, updated_at
from visitor_service_links
where location_type='Byway' and location_id in (select id from byways);
SELECT setval('byway_visitor_services_id_seq', COALESCE((SELECT MAX(id)+1 FROM byway_visitor_services), 1), false);
create table place_visitor_services (
id serial primary key,
place_id int not null references places(id) on delete cascade,
type_id int not null references visitor_service_types(id),
available boolean,
description text,
created_at timestamp,
updated_at timestamp
);
insert into place_visitor_services
select id, location_id, service_id, available, description, created_at, updated_at
from visitor_service_links
where location_type='Place' and location_id in (select id from places);
SELECT setval('place_visitor_services_id_seq', COALESCE((SELECT MAX(id)+1 FROM place_visitor_services), 1), false);
drop table visitor_service_links;
-- Split seasonal information
create table byway_seasons (
id serial primary key,
byway_id int not null references byways(id) on delete cascade,
season varchar(50) not null,
body text,
created_at timestamp,
updated_at timestamp
);
insert into byway_seasons
select id, location_id, season, body, created_at, updated_at
from season_descriptions
where location_type='Byway' and location_id in (select id from byways);
SELECT setval('byway_seasons_id_seq', COALESCE((SELECT MAX(id)+1 FROM byway_seasons), 1), false);
create table place_seasons (
id serial primary key,
place_id int not null references places(id) on delete cascade,
season varchar(50) not null,
body text,
created_at timestamp,
updated_at timestamp
);
insert into place_seasons
select id, location_id, season, body, created_at, updated_at
from season_descriptions
where location_type='Place' and location_id in (select id from places);
SELECT setval('place_seasons_id_seq', COALESCE((SELECT MAX(id)+1 FROM place_seasons), 1), false);
drop table season_descriptions;
-- Split extended descriptions
create table byway_extended_descriptions (
id serial primary key,
byway_id int not null references byways(id) on delete cascade,
type varchar(50) not null,
body text,
created_at timestamp,
updated_at timestamp
);
insert into byway_extended_descriptions
select id, location_id, type, body, created_at, updated_at
from extended_descriptions
where location_type='Byway' and location_id in (select id from byways);
SELECT setval('byway_extended_descriptions_id_seq', COALESCE((SELECT MAX(id)+1 FROM byway_extended_descriptions), 1), false);
create table place_extended_descriptions (
id serial primary key,
place_id int not null references places(id) on delete cascade,
type varchar(50) not null,
body text,
created_at timestamp,
updated_at timestamp
);
insert into place_extended_descriptions
select id, location_id, type, body, created_at, updated_at
from extended_descriptions
where location_type='Place' and location_id in (select id from places);
SELECT setval('place_extended_descriptions_id_seq', COALESCE((SELECT MAX(id)+1 FROM place_extended_descriptions), 1), false);
create table state_extended_descriptions (
id serial primary key,
state_id int not null references states(id) on delete cascade,
type varchar(50) not null,
body text,
created_at timestamp,
updated_at timestamp
);
insert into state_extended_descriptions
select id, location_id, type, body, created_at, updated_at
from extended_descriptions
where location_type='State' and location_id in (select id from states);
SELECT setval('state_extended_descriptions_id_seq', COALESCE((SELECT MAX(id)+1 FROM state_extended_descriptions), 1), false);
drop table extended_descriptions;
-- Filter taggings and add FK
create table asset_taggings (
id serial primary key,
asset_id int not null references assets(id) on delete cascade,
tag_id int not null references tags(id) on delete cascade,
created_at timestamp
);
insert into asset_taggings
select id, taggable_id, tag_id, created_at
from taggings
where taggable_type='Asset' and taggable_id in (select id from assets);
SELECT setval('asset_taggings_id_seq', COALESCE((SELECT MAX(id)+1 FROM asset_taggings), 1), false);
drop table taggings;
-- Adjust some data types
alter table byways rename column length to length_in_miles;
alter table byways alter column length_in_miles type decimal;
alter table directions alter column travel_distance type decimal;
|
/** Documentation of ERM AGREEMENT COST QUERY
DERIVED TABLES
agreements_subscription_agreement_entitlement
agreements_erm_resource
finance_transaction_invoices
TABLES
folio_orders.po_line
folio_invoice.invoice_lines
folio_invoice.invoices
FILTERS: FOR USERS TO SELECT
agreement_status, resource_type, resource_sub_type, resource_publication_type, po_line_order_format, invoice_line_status, payment_date
*/
WITH parameters AS (
SELECT
-- filters on agreement level
''::VARCHAR AS agreement_status, -- Enter your subscription agreement status eg. 'Active', 'Closed' etc.
-- filters on erm_resource level
''::VARCHAR AS resource_type, -- Enter your erm resource type eg. 'monograph', 'serial' etc.
''::VARCHAR AS resource_sub_type, -- Enter your erm resource type eg. 'electronic', 'print' etc.
''::VARCHAR AS resource_publication_type, -- Enter your publication type eg. 'journal', 'book' etc.
-- filters on purchase order line level
''::VARCHAR AS po_line_order_format, -- Enter your po line format eg. 'Electronic Resource', 'Physical Resource', 'P/E Mix' etc.
-- filters on invoice line level
''::VARCHAR AS invoice_line_status, -- Enter your invoice line status eg. 'Paid' or 'Approved'etc.
-- filters on invoice level
-- Please comment/uncomment one pair the these parameters if you want to define the date range of paid invoices
NULL::DATE AS start_date,
NULL::DATE AS end_date
--'2021-01-01' :: DATE AS start_date, -- start date day is included in interval
--'2022-01-01' :: DATE AS end_date, -- end date day is NOT included in interval -> enter next day
),
invoice_detail AS (
SELECT
inv.id AS "invoice_id",
json_extract_path_text(inv.jsonb, 'paymentDate')::date AS "invoice_payment_date"
FROM
folio_invoice.invoices AS inv
)
SELECT
sa_ent_dt.subscription_agreement_name,
sa_ent_dt.subscription_agreement_status_label AS subscription_agreement_status,
sa_ent_dt.entitlement_id,
sa_ent_dt.entitlement_active_from,
sa_ent_dt.entitlement_active_to,
erm_resource.res_name AS erm_resource_name,
erm_resource.res_type_fk_label AS erm_resource_type,
erm_resource.res_sub_type_fk_label AS erm_resource_sub_type,
erm_resource.res_publication_type_fk_label AS erm_resource_publication_type,
json_extract_path_text(pol.jsonb, 'paymentStatus') AS "po_line_payment_status",
json_extract_path_text(pol.jsonb, 'isPackage') AS "po_line_is_package",
json_extract_path_text(pol.jsonb, 'orderFormat') AS "po_line_order_format",
json_extract_path_text(invl.jsonb, 'invoiceLineStatus') AS "invl_status",
inv.invoice_payment_date AS "invoice_payment_date",
json_extract_path_text(invl.jsonb, 'subTotal') AS "invl_sub_total", -- this are costs by invoice_line in invoice currency
json_extract_path_text(invl.jsonb, 'total') AS "invl_total", -- this are costs by invoice_line in invoice currency
cast(fintrainvl.transaction_amount AS money) AS "transactions_invl_total"
FROM
folio_derived.agreements_subscription_agreement_entitlement AS sa_ent_dt
LEFT JOIN folio_derived.agreements_erm_resource AS erm_resource ON erm_resource.res_id = sa_ent_dt.entitlement_resource_fk
LEFT JOIN folio_orders.po_line AS pol ON pol.id = sa_ent_dt.po_line_id
LEFT JOIN folio_invoice.invoice_lines AS invl ON json_extract_path_text(invl.jsonb, 'poLineId') = pol.id
LEFT JOIN invoice_detail AS inv ON json_extract_path_text(invl.jsonb, 'invoiceId') = inv.invoice_id
LEFT JOIN folio_derived.finance_transaction_invoices AS fintrainvl ON fintrainvl.invoice_line_id = invl.id
WHERE
((sa_ent_dt.subscription_agreement_status_label = (SELECT agreement_status FROM parameters)) OR
((SELECT agreement_status FROM parameters) = ''))
AND
((erm_resource.res_type_fk_label = (SELECT resource_type FROM parameters)) OR
((SELECT resource_type FROM parameters) = ''))
AND
((erm_resource.res_sub_type_fk_label = (SELECT resource_sub_type FROM parameters)) OR
((SELECT resource_sub_type FROM parameters) = ''))
AND
((erm_resource.res_publication_type_fk_label = (SELECT resource_publication_type FROM parameters)) OR
((SELECT resource_publication_type FROM parameters) = ''))
AND
((json_extract_path_text(invl.jsonb, 'invoiceLineStatus') = (SELECT invoice_line_status FROM parameters)) OR
((SELECT invoice_line_status FROM parameters) = ''))
AND
((json_extract_path_text(pol.jsonb, 'orderFormat') = (SELECT po_line_order_format FROM parameters)) OR
((SELECT po_line_order_format FROM parameters) = ''))
AND
((inv.invoice_payment_date >= (SELECT start_date FROM parameters) AND
inv.invoice_payment_date < (SELECT end_date FROM parameters))
OR
(((SELECT start_date FROM parameters) IS NULL)
OR ((SELECT end_date FROM parameters) IS NULL)))
GROUP BY
sa_ent_dt.subscription_agreement_name,
sa_ent_dt.subscription_agreement_status_label,
sa_ent_dt.entitlement_id,
sa_ent_dt.entitlement_active_from,
sa_ent_dt.entitlement_active_to,
erm_resource.res_name,
erm_resource.res_type_fk_label,
erm_resource.res_sub_type_fk_label,
erm_resource.res_publication_type_fk_label,
json_extract_path_text(pol.jsonb, 'paymentStatus'),
json_extract_path_text(pol.jsonb, 'orderFormat'),
json_extract_path_text(invl.jsonb, 'invoiceLineStatus'),
json_extract_path_text(pol.jsonb, 'isPackage'),
inv.invoice_payment_date,
json_extract_path_text(invl.jsonb, 'subTotal'),
json_extract_path_text(invl.jsonb, 'total'),
fintrainvl.transaction_amount;
|
<reponame>smarceria/prod-management<gh_stars>0
# --- !Ups
create table "suppliers" ("id" BIGSERIAL NOT NULL PRIMARY KEY,"name" VARCHAR(254) NOT NULL,"desc" VARCHAR(254) NOT NULL);
create table "category" ("id" BIGSERIAL NOT NULL PRIMARY KEY,"name" VARCHAR(254) NOT NULL,"parentId" BIGINT NOT NULL);
# --- !Downs
;
drop table "suppliers";
drop table "category";
|
# Sequel Pro dump
# Version 2492
# http://code.google.com/p/sequel-pro
#
# Host: 127.0.0.1 (MySQL 5.6.24)
# Database: simple-quiz
# Generation Time: 2015-07-04 10:05:24 +0000
# ************************************************************
/*!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 */;
/*!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 */;
# Dump of table geelong_population_projections
# ------------------------------------------------------------
DROP TABLE IF EXISTS `geelong_population_projections`;
CREATE TABLE `geelong_population_projections` (
`lga11_name` varchar(19) NOT NULL,
`id_areas` varchar(36) DEFAULT NULL,
`settlement` varchar(14) NOT NULL,
`2011` int(5) NOT NULL,
`2016` int(5) NOT NULL,
`2021` int(5) NOT NULL,
`2026` int(5) NOT NULL,
`2031` int(5) NOT NULL,
`2036` int(5) NOT NULL,
`2041` int(6) NOT NULL,
`2046` int(6) NOT NULL,
`2051` int(6) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
LOCK TABLES `geelong_population_projections` WRITE;
/*!40000 ALTER TABLE `geelong_population_projections` DISABLE KEYS */;
INSERT INTO `geelong_population_projections` (`lga11_name`,`id_areas`,`settlement`,`2011`,`2016`,`2021`,`2026`,`2031`,`2036`,`2041`,`2046`,`2051`)
VALUES
('Greater Geelong (C)','Armstrong Creek Growth Area','0',312,286,295,296,328,370,406,463,582),
('Greater Geelong (C)','Armstrong Creek Growth Area','Geelong',460,3132,9424,18378,27038,38413,48955,57433,61267),
('Greater Geelong (C)','Barwon Heads - Connewarre - Breamlea','0',555,573,563,556,550,552,548,554,591),
('Greater Geelong (C)','Barwon Heads - Connewarre - Breamlea','Barwon Heads',3594,4250,4216,4251,4269,4275,4265,4226,4276),
('Greater Geelong (C)','Bell Park','Geelong',4686,4794,4983,5108,5210,5534,5820,6099,6401),
('Greater Geelong (C)','Bell Post Hill','0',210,206,205,203,205,214,222,228,230),
('Greater Geelong (C)','Bell Post Hill','Geelong',4990,4963,4929,4902,4984,5269,5517,5719,5801),
('Greater Geelong (C)','Belmont','Geelong',14437,15125,15907,16781,17272,18701,20212,22162,25246),
('Greater Geelong (C)','Cl<NAME>','Drysdale',6991,7003,6999,7140,7094,7294,7425,7469,7382),
('Greater Geelong (C)','Corio','0',70,68,68,68,68,69,71,72,71),
('Greater Geelong (C)','Corio','Geelong',14964,14820,15301,15804,16269,17144,18014,18665,18751),
('Greater Geelong (C)','Drysdale','0',703,699,686,685,690,709,730,747,764),
('Greater Geelong (C)','Drysdale','Drysdale',3820,4127,4934,5503,6382,6750,7134,7505,7882),
('Greater Geelong (C)','East Geelong','Geelong',3228,3255,3448,3729,3882,4150,4415,4706,5048),
('Greater Geelong (C)','Geelong - South Geelong - Drumcondra','Geelong',6743,7974,8302,8620,8865,9291,9657,9986,10091),
('Greater Geelong (C)','Geelong West','Geelong',6567,6496,6609,6567,6522,6447,6343,6380,6801),
('Greater Geelong (C)','<NAME>','Geelong',15872,16733,18498,18994,19420,20381,21179,21874,22318),
('Greater Geelong (C)','<NAME>','Geelong',6315,6379,6521,6430,6331,6350,6214,6200,6525),
('Greater Geelong (C)','<NAME> - Fyansford','0',154,155,163,170,175,190,210,232,263),
('Greater Geelong (C)','<NAME> - Fyansford','Geelong',3547,3986,4494,5568,6514,7668,9057,10512,12470),
('Greater Geelong (C)','Highton - Ceres','0',320,322,321,318,318,329,335,335,325),
('Greater Geelong (C)','Highton - Ceres','Geelong',16269,18156,19863,19958,19876,20377,20552,20455,19817),
('Greater Geelong (C)','Lara','0',639,623,683,789,854,860,870,869,907),
('Greater Geelong (C)','Lara','Lara',12826,15794,17712,19418,21767,26418,27156,27476,26482),
('Greater Geelong (C)','Leopold','0',738,765,786,790,797,844,897,912,940),
('Greater Geelong (C)','Leopold','Leopold',9489,10853,12479,13985,15155,16312,17047,17513,18207),
('Greater Geelong (C)','Lovely Banks - Batesford - Moorabool','0',1645,1659,1736,1880,1934,2056,2180,2322,2525),
('Greater Geelong (C)','Lovely Banks - Batesford - Moorabool','Geelong',1423,1821,2026,2166,2186,2299,2410,2538,2734),
('Greater Geelong (C)','Manifold Heights','Geelong',2677,2623,2687,2673,2647,2617,2581,2595,2768),
('Greater Geelong (C)','Newcomb - Moolap','0',696,691,708,731,747,785,813,831,830),
('Greater Geelong (C)','Newcomb - Moolap','Geelong',4888,4871,5000,5171,5300,5586,5801,5947,5940),
('Greater Geelong (C)','Newtown','Geelong',9947,10093,10110,10148,10203,10528,10806,11079,11325),
('Greater Geelong (C)','Norlane - North Shore','Geelong',9094,9273,9460,9732,9936,10464,10915,11255,11390),
('Greater Geelong (C)','North Geelong - Rippleside','Geelong',3600,3713,4080,4394,4429,4492,4485,4346,3908),
('Greater Geelong (C)','Ocean Grove','Ocean Grove',12941,14254,15592,16720,17510,19039,20381,21925,24485),
('Greater Geelong (C)','Portarlington','0',153,170,178,185,179,192,205,218,227),
('Greater Geelong (C)','Portarlington','Portarlington',3364,3518,3830,4177,4479,4714,4912,5233,5718),
('Greater Geelong (C)','Rural Bellarine Peninsula','0',1714,1811,1888,2253,2308,2417,2466,2530,2572),
('Greater Geelong (C)','Rural Bellarine Peninsula','Drysdale',33,1367,2751,4137,5655,6211,6616,7042,7392),
('Greater Geelong (C)','Rural Bellarine Peninsula','Ocean Grove',152,156,156,184,478,1020,1532,1985,2240),
('Greater Geelong (C)','Rural Bellarine Peninsula','Point Lonsdale',1015,1162,1342,1522,1718,1959,2146,2334,2491),
('Greater Geelong (C)','Rural North','0',1581,1595,1635,1664,1681,1742,1839,1968,2281),
('Greater Geelong (C)','Rural North','Lara',149,149,228,384,485,494,513,545,746),
('Greater Geelong (C)','St Albans Park','0',30,31,32,34,35,38,40,42,43),
('Greater Geelong (C)','St Albans Park','Geelong',5088,5183,5295,5358,5387,5627,5771,5899,5965),
('Greater Geelong (C)','St Leonards - Indented Head','Indented Head',818,853,907,926,999,1137,1158,1090,1035),
('Greater Geelong (C)','St Leonards - Indented Head','St Leonards',2170,2676,2869,3329,3452,3630,3785,3785,3658),
('Greater Geelong (C)','Thomson - Breakwater','0',0,0,0,0,0,0,0,0,0),
('Greater Geelong (C)','Thomson - Breakwater','Geelong',3170,3155,3231,3369,3490,3684,3862,4020,4109),
('Greater Geelong (C)','Wandana Heights','Geelong',1925,2187,2282,2464,2614,2744,2865,2884,2674),
('Greater Geelong (C)','Waurn Ponds - Mount Duneed (West)','0',643,642,632,627,631,638,624,585,462),
('Greater Geelong (C)','Waurn Ponds - Mount Duneed (West)','Geelong',3454,3583,3833,4041,4011,3944,3750,3382,2592),
('Greater Geelong (C)','Whittington','Geelong',4282,4277,4335,4484,4619,4837,5002,5121,5061),
('Queenscliffe (B)','','0',5,6,6,7,7,8,8,9,10),
('Queenscliffe (B)','','Point Lonsdale',2320,2363,2450,2520,2583,2646,2714,2787,2867),
('Queenscliffe (B)','','Queenscliffe',736,736,747,757,769,784,801,821,844),
('Surf Coast (S)','','0',1314,1768,1727,1745,3535,5863,8370,11061,13868),
('Surf Coast (S)','','<NAME>',4751,4747,4799,5082,5217,5335,5390,5402,5426),
('Surf Coast (S)','','Torquay',9456,11681,14789,17690,18385,18472,18500,18518,18570);
/*!40000 ALTER TABLE `geelong_population_projections` ENABLE KEYS */;
UNLOCK TABLES;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
/*!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 */;
|
INSERT INTO [Genre] (Id, Name, CollectionId)
VALUES (@Id, @Name, @CollectionId);
|
/****** Object: StoredProcedure [dbo].[AddUpdateParamByManagerType] ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE Procedure dbo.AddUpdateParamByManagerType
/****************************************************
**
** Desc:
** Adds or Updates a single manager params for set of given manager types
**
**
** Return values: 0: success, otherwise, error code
**
** Parameters:
**
** Auth: jds
** Date: 09/14/2007
** 04/16/2009 mem - Added optional parameter @callingUser; if provided, then will populate field Entered_By with this name
** 01/12/2011 mem - Now updating @newValue to '' if null
** - Added parameter @AssociateParameterWithManagers
**
*****************************************************/
(
@paramValue varchar(32), -- The new parameter's name
@newValue varchar(128) = '', -- The default value for the new parameter
@managerTypeIDList varchar(2048),
@mode varchar(12) = 'add', --or 'update'
@callingUser varchar(128) = '',
@AssociateParameterWithManagers tinyint = 1 -- If 1, then adds an entry to T_ParamValue for all managers with types defined in @managerTypeIDList; otherwise, does not update T_ParamValue
)
As
set nocount on
declare @myError int
declare @myRowCount int
set @myError = 0
set @myRowCount = 0
declare @msg varchar(500)
set @msg = ''
Set @AssociateParameterWithManagers = IsNull(@AssociateParameterWithManagers, 1)
---------------------------------------------------
-- Validate @paramValue
---------------------------------------------------
Set @paramValue = IsNull(@paramValue, '')
If @paramValue = ''
Begin
Set @msg = 'The new parameter name is blank; unable to continue'
RAISERROR (@msg, 10, 1)
return 51310
End
Set @newValue = IsNull(@newValue, '')
---------------------------------------------------
-- Check to see if parameter already exists
---------------------------------------------------
If Exists (SELECT * FROM T_ParamType WHERE ParamName = @paramValue)
Begin
Set @msg = 'The parameter name "' + @paramValue + '" already exists.'
RAISERROR (@msg, 10, 1)
return 51311
end
---------------------------------------------------
-- Create and populate a temporary table to hold the manager type ID values in @managerTypeIDList
---------------------------------------------------
CREATE TABLE #TmpMgrTypeIDList (
MgrTypeID int NOT NULL
)
INSERT INTO #TmpMgrTypeIDList (MgrTypeID)
SELECT Convert(int, Item)
FROM MakeTableFromList(@managerTypeIDList)
--
SELECT @myError = @@error, @myRowCount = @@rowcount
If @myError <> 0
Begin
Set @msg = 'Error parsing the manager type ID list'
RAISERROR (@msg, 10, 1)
return 51312
End
---------------------------------------------------
-- Check for invalid TypeID values in #TmpMgrTypeIDList
---------------------------------------------------
Set @msg = ''
SELECT @msg = @msg + Convert(varchar(12), MgrTypeID) + ', '
FROM #TmpMgrTypeIDList Src LEFT OUTER JOIN T_MgrTypes MT
ON Src.MgrTypeID = MT.MT_TypeID
WHERE MT.MT_TypeID IS NULL
--
SELECT @myError = @@error, @myRowCount = @@rowcount
If @myRowCount > 0
Begin
-- Remove the trailing comma (Note: we must use Len(@msg)-1 since the Len() function trims trailing spaces when determing length)
Set @msg = Substring(@msg, 1, Len(@msg)-1)
Set @msg = 'One or more Manager Type ID values are invalid: ' + @msg
RAISERROR (@msg, 10, 1)
return 51312
End
---------------------------------------------------
-- Add the new parameter to the parameter Type table
---------------------------------------------------
declare @pID int
set @pID = 0
INSERT INTO T_ParamType(ParamName)
VALUES(@paramValue)
--
SELECT @myError = @@error, @myRowCount = @@rowcount
set @pID = IDENT_CURRENT('T_ParamType')
--
if @myError <> 0
begin
set @msg = 'Error trying to add new parameter: "' + @paramValue + '".'
RAISERROR (@msg, 10, 1)
return 51313
end
---------------------------------------------------
-- Add the new parameter to mapping table and param value table
-- for all Manager Types in list
---------------------------------------------------
if @mode = 'add'
begin
INSERT INTO T_MgrType_ParamType_Map(MgrTypeID, ParamTypeID, DefaultValue)
SELECT MgrTypeID, @pID, @newValue
FROM #TmpMgrTypeIDList
--
SELECT @myError = @@error, @myRowCount = @@rowcount
--
if @myError <> 0
begin
RAISERROR ('Error trying to add Manager params Mapping table', 10, 1)
return 51314
end
If @AssociateParameterWithManagers > 0
Begin
INSERT INTO T_ParamValue(TypeID, Value, MgrID)
SELECT @pID, @newValue, M.M_ID
FROM T_Mgrs M INNER JOIN
#TmpMgrTypeIDList MTL ON M.M_TypeID = MTL.MgrTypeID
--
SELECT @myError = @@error, @myRowCount = @@rowcount
--
if @myError <> 0
begin
RAISERROR ('Error trying to add Manager params to Param Value table', 10, 1)
return 51315
end
End
If Len(@callingUser) > 0
Begin
-- @callingUser is defined
-- Items need to be updated in T_ParamValue
---------------------------------------------------
-- Create a temporary table that will hold the Entry_ID
-- values that need to be updated in T_ParamValue
---------------------------------------------------
CREATE TABLE #TmpIDUpdateList (
TargetID int NOT NULL
)
CREATE UNIQUE CLUSTERED INDEX #IX_TmpIDUpdateList ON #TmpIDUpdateList (TargetID)
-- Populate #TmpIDUpdateList
INSERT INTO #TmpIDUpdateList (TargetID)
SELECT PV.Entry_ID
FROM T_ParamValue PV INNER JOIN
T_Mgrs M ON PV.MgrID = M.M_ID INNER JOIN
#TmpMgrTypeIDList MTL ON M.M_TypeID = MTL.MgrTypeID
WHERE PV.TypeID = @pID
--
SELECT @myError = @@error, @myRowCount = @@rowcount
Exec AlterEnteredByUserMultiID 'T_ParamValue', 'Entry_ID', @CallingUser, @EntryDateColumnName = 'Last_Affected'
End
end
return @myError
GO
GRANT EXECUTE ON [dbo].[AddUpdateParamByManagerType] TO [Mgr_Config_Admin] AS [dbo]
GO
|
<gh_stars>100-1000
{{ config(materialized='table') }}
WITH data AS (
SELECT
cast(1 AS integer) AS my_int,
my_text,
-- the after script value should reflect here
my_float
FROM {{ ref('other_model') }}
)
SELECT *
FROM data
|
<reponame>votecube/votecube_db<gh_stars>0
-- comment out "drop keyspace" when running for the first time
drop keyspace votecube;
create keyspace votecube
WITH replication = {'class': 'SimpleStrategy', 'replication_factor' : 1};
use votecube;
----------
-- META --
----------
/**
Below schema supports standard loading of data when the page is requested by
the user. It will facilitate delaying of loading for polls, opinions and
rankings until the relevant display is scrolled into the view (by the user).
It does not attempt to do any real-time updating of the view, such as keeping
track of users typing responses, when new rankings are added to an opinion
or ranking and when new opinions are posted to a poll thread. That functionality
can be added on via in-memory only infrastructure (since there is no additional
data that needs to be persisted, just a stream of events).
The in-memory infrastructure could scale in a following way:
3 total tiers - Front load balancing, Connection management servers and Thread
management servers
1) Front Load balancing servers simply forward TCP packets between the Client
and the Connection management servers. They can either:
a) keep sticky sessions and act as a complete pass-though for a TCP connection.
This will probably be the default and easiest to implement but requires session
management on both the Load balancers and Connection management servers.
b) or, assuming that CloudFlare will handle sticky sessions, TCP sessions could
terminate on the Load balancers. They would then make completely stateless
requests to Connection managers
c) or, we could hack the TCP protocol stack and make Load balancers fake out TCP
sessions while keeping the requests to Connection managers sessionless
2) Connection managers keep an array (indexed by poll id) of Thread management server
indexes (or even final addresses). So, they act as lookup gateways between the
client and the Thread managers that keep track of what happens on a given Thread.
They would also batch up requests on per Thread management server and periodically
send these to those servers (while keeping a connection open and sending ping requests
of no data actually requested). This could be done on a reasonable time cadence (maybe
every 3 seconds).
So, to begin with, we can support 1B threads with 256 Thread management servers we would
only need 1GB of RAM for the lookup. This scales pretty well to the limits of modern
hardware (with 2TB RAM being able to support 1T threads with 64K Thread management
servers). And the number of Connection managers can be increased or decreased at any
time. They are only "mildly stateful", when a new one comes up it simply needs to
populate its cache of Thread to Thread Manager array and the addresses of Thread managers.
The cache population requests can be distributed between all of the rest of the Connection
managers (with each returning a chunk of the cache) and Thread manager addresses should
be compact enough.
Though, overall it is better to use 2 layers of Connection managers. First layer can mod
the thread number and lookup a Layer 2 Service address to forward a given request to.
The layer 2 service would then have a much smaller map of threads (just for the right
block). It also allows to favor new Threads and run with more instances of layer 2
servers for them (then some very old and very stable threads). Hence the amount of
RAM needed to serve the total number of requests can be reduced drastically. And
scaling will also become faster (standing up new Layer 2 service is quicker and
cheaper) and is no longer limited at about 1T threads (becoming virtually unlimited).
3) Thread managers are also "mildly stateful", they only need to keep track of what happened
in the last 3 seconds for a given thread. Eventually they might become more stateful
and keep track all modifications for a given thread for a longer period of time and
then attempt state repair (return more data to clients) if they find inconsistencies
in what they have sent and what is the actual state of the database. This will require
quite a bit more thought though (to make sure that we don't negatively impact database
performance by doing this periodic state repair).
Thread managers can also scale (you can run multiple instances for the state of the
same thread) but that becomes a bit more tricky, since when you stand up a new Thread
manager you need to notify it of which Threads it needs to now keep track of. And the
Layer 2 Connection managers will also have to be notified of a new Thread manager (for
a given thread).
Ultimately it should be possible to support in-memory infrastructure, even for the
most hot threads (say if 100M people are watching a thread because of a time sensitive
event). As a design goal, the amount of required hardware should be determined the
total number of devices watching, not the number of devices watching a given thread.
NOTE: In UI websockets are the best option for such communication, since the user
is actively watching a thead and not only expects notifications back but also might
be typing an opinion (and we'll be notifying other users watching the same thread) that
this is happening) or has just submitted a ranking.
*/
/**
A separate use case is notifying users on events (new threads, new opinions, new ratings,
for a given theme, location, thread) while they are not actively watching it. This
is more of a batch job-like task, since the user might want these notifications even if
they have their device locked and aren't even looking at the browser. Though the same
infrastructure as above might be used (if Thread managers become more stateful) with fewer
notifications (for example, users won't be notified if someone is in process of writing
a response, or might opt out of being notified if a ranking is posted and only care for
new opinions/threads). In that case such notifications might be requested by the client
with less frequency (say one per minute).
NOTE: In UI server-side push (service worker friendly) is the way to go for this. The
Load balancers or Layer 1 of Connection managers, would then be smart enough to maintain
a different channel for that.
*/
/**
Voting should probably be funnelled though this infrastructure as well. It will have to
be properly persisted but that can be done in batches (and might have to be given higher
potential for usage spikes towards the end of the voting period) by the Thread servers.
If a given batch is successfully persisted then the client is notified. If it isn't then the
client knows that it must re-try to submit the vote (automatically).
Thread servers would record new votes in batch records, query those records (for recent
partition periods), and return newly computed totals to the clients.
Top votes infrastructure might have to be adjusted as well, since we now will have the means
to know which votes have been recently added. It should be possible to setup up a set of
intermediate servers that spit up all actively running threads and store their votes counts in
order. Then a separate layer can combine this data and come up with final sorted lists (taking
into account totals from other, recently closed votes). Then a separate layer can record
vote totals (in order and individually) on periodic basis. Ex: (Polls with most votes in a
given theme at a given location in a given month).
*/
/**
ScyllaDB supports GEO partitioning for all of the data (meaning all of the data
may be stored id different data centers) but does not provide a way to split up
data by a geo-paritioning key (though maybe things will change in the future).
If we are ever forced to store EU data in EU and Chinese data in China then
we'll have to do such partitioning in software. With such a setup all queries
for certain locations will go specific regions. Since Scylla does not support
SQL style queries this isn't that big of a deal (and pretty simple to implement
when we need it).
For relational data we'll be using CockroachDB, which does support Geographical
partitioning based on a key (location_id in our case).
*/
-----------
-- POLLS --
-----------
/**
VC ScyllaDB model uses a partitioning period. This is a period with a certain number
of minutes in it, say 5 or 15. Once the partition period is filled the data from it
is ingested into CockroachDB and Vespa and internal id grouping and counts tables
are populated as well.
We don't want the partition period to be too big since that would greatly increase
the lag between when the data is entered into the system and when it is processed
for analysis (and added to full text search). At the same time we don't want it to
be too short either, since that would lead to smaller id batches (and counts batches)
and increase the total number of requests made to the server. Also we want to give
ScyllaDB enough time to get the level of consistency to 100% for ingested partition
so that we don't have to re-ingest the records later (and redo id blocks and counts
for the missing records). Currently it appears that we can do 5 minute batches,
delay the processing by a couple of minutes (after period end) and then do a cleanup
round when we run repair on ScyllaDB (probably weekly).
The partition period has the following format:
2020-01-02T03:04 and always represents UTC time.
In ASCII this takes 16 bytes (for every high traffic record), so it makes sense
to encode it further to a 32 bit (4 byte) integer with:
12 bits for the year, 4 bits for month, 5 bits for day, 5 bits for hour, 6 bits for
minute. This limits the year storage 4 millennia (and we can start counting with
2020). If the system lasts that long it is bound to be refactored by then (note
that support for the sign bit isn't planned at this point so really its 2
+ 2 millennia).
Note that there should never be manual manipulation of these anyway and when
necessary it is easy to write converters.
*/
-- for lookup of poll data
CREATE TABLE polls
(
poll_id bigint,
theme_id bigint, // needed HERE because of materialized views
location_id int, // needed HERE because of materialized views, and eventual sharding
poll_id_mod int,
create_es bigint,
user_id bigint,
partition_period int, // needed HERE because of materialized views
/**
Age suitability reserves 4 bits for general ratings. All other bits are reserved for
"culture specific" 2 bit blocks. For example faithful parents (with cultural variations in
what is allowed) may not want their children to see certain content until a later age. 2
Bits allow up to 3 age group delay, so for example a Muslim child may be protected from
certain content up to 7, 13 or 17 years, even if that content is generally accepted to be
0+ rating. This allows for up to 30 general cultures to be supported - should be enough
planetarily.
NOTE: age shift does not have any effect on adults. The idea is to better protect
children, and not to prevent information from reaching responsible adults. Though it would
be possible for countries like China to always set the "Chinese" flag up to level 3 (but
probably not force the age of all their citizens to be < 17 :). Seems reasonable enough -
if a country doesn't want it's children to see some content until they are a bit older -
that's probably something that needs to be sorted out by that country.
Counts of polls/opinions are computed on the general numbers. So 0+ counts won't currently
be re-computed on per-culture basis. Cultures aren't currently scheduled for
implementation.
*/
age_suitability bigint,
data blob,
insert_processed boolean, // Has the initial ingest into CockroachDb finished
PRIMARY KEY ((poll_id), partition_period)
);
/**
Used by Primary Poll Ingest to CockroachDB and Vespa.
1) The poll ids are retrieved here, on per batch basis.
2) The poll records are individually retrieved from the polls table
3) All polls from a particular batch are inserted in one transaction.
In the same transaction a record is inserted into batch_executions.
4) After that records in the batch are inserted into Vespa and
batch_executions is updated.
TODO: After all batches have been processed a check is run to make sure
that no batches failed. If any failed they are re-tried until
completion.
Batch executions also keep track of locations and themes that where
inserted for this partition period. After Primary Poll Ingest is
done. batch_themes_n_locations table is populated. Same is done for
user ids (populating batch_user_ids). Both are then used to distribute
work for the internal maintenance ingests (adding to id
grouping/counts tables in Scylla) is done in a separate processes.
TODO: A good chunk of time after a given batch (say a couple of hours,
to make sure that the data has been FOR SURE propagated to all view
copies on all nodes) run another check that spins though all of the
batches for that period and makes sure that none of the records were
left behind. If they were ingest them and update all relevant id
blocks and counts.
Q: Should the data be replicated here?
A: No need since it would be along term store and is only needed
once. Reading the source record once is OK - ingest doesn't have
to be super fast since it can be distributed (using ingest_batch_id).
Q: Why not split data by location/theme or both?
A: The best of my current understanding that requires a separate table
would have to keep track of which locations & themes were inserted
into in a give partition_period. Maintaining that is extra work
that either has to be done on every insert (very expensive) or
done as a pre-requisite step of the ingest (thus slowing it down).
Also ingest_batch_id gives a more even distribution of work and can
help maintain certain batch sizes (which can now be reasonably well
controlled, with some monitoring). Write servers can then be
notified with the max batch size for the following ingest cycle.
*/
CREATE MATERIALIZED VIEW period_poll_ids_by_batch AS
SELECT partition_period,
poll_id_mod,
-- create_es,
-- theme_id,
-- location_id,
poll_id,
insert_processed
FROM polls
WHERE partition_period IS NOT NULL
AND poll_id_mod IS NOT NULL
PRIMARY KEY ((partition_period, poll_id_mod), poll_id);
/**
the _by_user, _by_theme, _by_location MATERIALIZED VIEWs are needed
to get the most up to date information to the users. Otherwise historical
information could have been reconstructed using separate step via data
CRDB.
*/
/**
For looking up all poll ids created by user in either current or any
of the previous partition periods for which batched id records aren't yet
available.
Note that it is needed even with very small partition_periods because
it itself is used create per user, per partition period id batches and
counts.
Note that create_es is missing from the key since it's not needed in the UI,
which can post sort the opinions in the right order AND is not needed by
the ingest because it can correctly order the records itself. The end effect
is a bit of CPU, Memory Storage savings by the database, which probably adds
up overtime to more benefit than the cost of sorting by the batch and UI.
TODO: make sure that UI sorts period records and batch sorts all of the
records by create_es
*/
CREATE MATERIALIZED VIEW period_poll_ids_by_user AS
SELECT partition_period,
user_id,
age_suitability, // needed to compute period id blocks per age suitability
poll_id,
-- location_id,
-- theme_id,
create_es // needed to set order in period id blocks
FROM polls
WHERE partition_period IS NOT NULL
AND user_id IS NOT NULL
PRIMARY KEY ((partition_period, user_id), poll_id);
/**
For displaying polls in a given (recent) partition by theme.
Also used for ingesting by theme id blocks and counts into appropriate
tables in ScyllaDB
*/
CREATE MATERIALIZED VIEW period_poll_ids_by_theme AS
SELECT partition_period,
age_suitability, // needed to compute period id blocks per age suitability
poll_id,
-- theme_id,
-- location_id,
create_es // needed to set order in period id blocks
FROM polls
WHERE partition_period IS NOT NULL
AND theme_id IS NOT NULL
PRIMARY KEY ((partition_period, theme_id), poll_id);
// NOTE: not ordering by location_id or create_es, done in memory by batch job & UI
/**
For displaying polls in a given (recent) partition by theme 1st and location 2nd.
Also used for ingesting by theme id blocks and counts into appropriate
tables in ScyllaDB
*/
/*
Appears to be somewhat redundant, same thing can be served by theme view, removing for now
CREATE MATERIALIZED VIEW period_poll_ids_by_theme_n_location AS
SELECT partition_period,
age_suitability,
-- theme_id,
-- location_id,
poll_id,
create_es
FROM polls
WHERE partition_period IS NOT NULL
AND theme_id IS NOT NULL
AND location_id IS NOT NULL
PRIMARY KEY ((partition_period, theme_id, location_id), poll_id);
*/
/**
For displaying polls in a given (recent) partition by location.
Also used for ingesting by theme id blocks and counts into appropriate
tables in ScyllaDB.
To save maintenance of another view (by location 1st and theme 2nd) this same
view is used for ingesting location+theme id blocks and counts.
*/
CREATE MATERIALIZED VIEW period_poll_ids_by_location AS
SELECT partition_period,
age_suitability, // needed to compute period id blocks per age suitability
-- location_id,
poll_id,
-- theme_id,
create_es // needed to set order in period id blocks
FROM polls
WHERE partition_period IS NOT NULL
AND location_id IS NOT NULL
PRIMARY KEY ((partition_period, location_id), poll_id);
// NOTE: not ordering by theme_id or create_es, done in memory by batch job & UI
--------------------
-- POLL ID BLOCKS --
--------------------
/**
Access is provided for the user to lookup their own recent polls.
We also keep them historically so the user can go back and see
what were they writing at some period of time in the past.
Also access to latest polls is provided by Theme, Theme+Location,
Location & Location+Theme. And a historical record of these is
kept as well (which is easy to do, just takes a bit more space).
Hence a user can drill down into any Year, Month, Day or period
and find out the counts for at at any Location, for any Theme
or a combination of the two.
*/
-- per period blocks
-- NOTE: in blocks and counts only core age_sutability value is stored
-- In future any culturally blocked polls will be filtered in the UI
-- thus not preventing data retrieval by id only
-- populated every partition period, for lookup of poll data by user
-- also stores corresponding location and theme ids
-- contains ids for actual (not aggregate) themes and locations
CREATE TABLE period_poll_id_blocks_by_user
(
partition_period int,
age_suitability tinyint,
user_id bigint,
theme_ids blob,
location_ids blob,
poll_ids blob,
PRIMARY KEY ((partition_period, age_suitability, user_id))
);
-- populated every partition period, for lookup of poll data by theme
-- contains poll ids for actual and aggregate themes
CREATE TABLE period_poll_id_blocks_by_theme
(
partition_period int,
age_suitability tinyint,
theme_id bigint,
poll_ids blob,
PRIMARY KEY ((partition_period, age_suitability, theme_id))
);
-- populated every partition period, for lookup of poll data by theme + location
-- contains poll ids for actual and aggregate themes by locations
CREATE TABLE period_poll_id_blocks_by_theme_n_location
(
partition_period int,
age_suitability tinyint,
theme_id bigint,
location_id int,
poll_ids blob,
PRIMARY KEY ((partition_period, age_suitability, theme_id, location_id))
);
-- populated every partition period, for lookup of poll data by location
-- contains poll ids for actual and aggregate locations
CREATE TABLE period_poll_id_blocks_by_location
(
partition_period int,
age_suitability tinyint,
location_id int,
poll_ids bigint,
PRIMARY KEY ((partition_period, age_suitability, location_id))
);
-- populated every partition period, for lookup of poll data by location + theme
-- contains poll ids for actual and aggregate locations and themes
CREATE TABLE period_poll_id_blocks_by_location_n_theme
(
partition_period int,
age_suitability tinyint,
location_id int,
theme_id bigint,
poll_ids bigint,
PRIMARY KEY ((partition_period, age_suitability, location_id, theme_id))
);
-- per day blocks
-- populated daily, for lookup of poll data by user
CREATE TABLE day_poll_id_blocks_by_user
(
date int,
age_suitability tinyint,
user_id bigint,
theme_ids blob,
location_ids blob,
poll_ids blob,
PRIMARY KEY ((date, age_suitability, user_id))
);
-- populated daily, for lookup of poll data by theme
-- contains poll ids for actual and aggregate themes
CREATE TABLE day_poll_id_blocks_by_theme
(
date int,
age_suitability tinyint,
theme_id bigint,
poll_ids blob,
PRIMARY KEY ((date, age_suitability, theme_id))
);
-- populated daily, for lookup of poll data by theme + location
-- contains poll ids for actual and aggregate themes by locations
CREATE TABLE day_poll_id_blocks_by_theme_n_location
(
date int,
age_suitability tinyint,
theme_id bigint,
location_id int,
poll_ids blob,
PRIMARY KEY ((date, age_suitability, theme_id, location_id))
);
-- populated daily, for lookup of poll data by location
-- contains poll ids for actual and aggregate locations
CREATE TABLE day_poll_id_blocks_by_location
(
date int,
age_suitability tinyint,
location_id int,
poll_ids blob,
PRIMARY KEY ((date, age_suitability, location_id))
);
-- populated daily, for lookup of poll data by location + theme
-- contains poll ids for actual and aggregate locations and themes
CREATE TABLE day_poll_id_blocks_by_location_n_theme
(
date int,
age_suitability tinyint,
location_id int,
theme_id bigint,
poll_ids blob,
PRIMARY KEY ((date, age_suitability, location_id, theme_id))
);
-- per month blocks
-- populated monthly, for lookup of poll data by user
CREATE TABLE month_poll_id_blocks_by_user
(
month smallint,
age_suitability tinyint,
user_id bigint,
theme_ids blob,
location_ids blob,
poll_ids blob,
PRIMARY KEY ((month, age_suitability, user_id))
);
-- populated monthly, for lookup of poll data by theme
-- contains poll ids for actual and aggregate themes
CREATE TABLE month_poll_id_blocks_by_theme
(
month smallint,
age_suitability tinyint,
theme_id bigint,
poll_ids blob,
PRIMARY KEY ((month, age_suitability, theme_id))
);
-- populated monthly, for lookup of poll data by theme + location
-- contains poll ids for actual and aggregate themes by locations
CREATE TABLE month_poll_id_blocks_by_theme_n_location
(
month smallint,
age_suitability tinyint,
theme_id bigint,
location_id int,
poll_ids blob,
PRIMARY KEY ((month, age_suitability, theme_id, location_id))
);
-- populated monthly, for lookup of poll data by location
-- contains poll ids for actual and aggregate locations
CREATE TABLE month_poll_id_blocks_by_location
(
month smallint,
age_suitability tinyint,
location_id int,
poll_ids blob,
PRIMARY KEY ((month, age_suitability, location_id))
);
-- populated monthly, for lookup of poll data by location + theme
-- contains poll ids for actual and aggregate locations and themes
CREATE TABLE month_poll_id_blocks_by_location_n_theme
(
month smallint,
age_suitability tinyint,
location_id int,
theme_id bigint,
poll_ids blob,
PRIMARY KEY ((month, age_suitability, location_id, theme_id))
);
-- per year blocks
-- populated yearly, for lookup of poll data by user
-- contains poll ids for actual and aggregate themes
CREATE TABLE year_poll_id_blocks_by_user
(
year smallint,
age_suitability tinyint,
user_id bigint,
theme_ids blob,
location_ids blob,
poll_ids blob,
PRIMARY KEY ((year, age_suitability, user_id))
);
-- populated yearly, for lookup of poll data by theme
-- contains poll ids for actual and aggregate themes
CREATE TABLE year_poll_id_blocks_by_theme
(
year smallint,
age_suitability tinyint,
theme_id bigint,
poll_ids blob,
PRIMARY KEY ((year, age_suitability, theme_id))
);
-- populated yearly, for lookup of poll data by theme + location
-- contains poll ids for actual and aggregate themes by locations
CREATE TABLE year_poll_id_blocks_by_theme_n_location
(
year smallint,
age_suitability tinyint,
theme_id bigint,
location_id int,
poll_ids blob,
PRIMARY KEY ((year, age_suitability, theme_id, location_id))
);
-- populated yearly, for lookup of poll data by location
-- contains poll ids for actual and aggregate locations
CREATE TABLE year_poll_id_blocks_by_location
(
year smallint,
age_suitability tinyint,
location_id int,
poll_ids blob,
PRIMARY KEY ((year, age_suitability, location_id))
);
-- populated yearly, for lookup of poll data by location + theme
-- contains poll ids for actual and aggregate locations and themes
CREATE TABLE year_poll_id_blocks_by_location_n_theme
(
year smallint,
age_suitability tinyint,
location_id int,
theme_id bigint,
poll_ids blob,
PRIMARY KEY ((year, age_suitability, location_id, theme_id))
);
------------------
-- POLL RATINGS --
------------------
CREATE TABLE poll_ratings
(
rating_type int,
poll_id bigint,
partition_period int,
ingest_batch_id int,
user_id bigint,
rating bigint,
PRIMARY KEY ((poll_id, partition_period), rating_type, user_id)
);
CREATE TABLE user_poll_ratings
(
rating_type int,
poll_id bigint,
user_id bigint,
rating bigint,
PRIMARY KEY ((poll_id, user_id), rating_type)
);
CREATE TABLE period_poll_rating_averages
(
rating_type int,
poll_id bigint,
partition_period bigint,
count bigint,
average float,
rating bigint,
PRIMARY KEY ((poll_id, partition_period), rating_type)
);
--------------
-- OPINIONS --
--------------
-- for lookup of the opinion data. Also for applying updates to opinions
/**
NOTE: older opinions cannot be deleted since they are used to verify updates
to those opinions. Shouldn't be too big of a deal in the long term - data
is already compressed and disk space is relatively cheap
NOTE: id (opinion_id only) is optimized for UI based queries for recent records.
Batch jobs have to query each record individually as well. This is considered
better than having to maintain a separate Materialized View with the data
in it (and keyed by partition_period + root_opinion_id). The overhead of querying
by the batch jobs should be relatively small (in comparison with the requests
coming from the UI, since the batch job only each record once while the number of
queries from the UI is unbounded, especially if caches miss).
*/
CREATE TABLE opinions
(
partition_period int,
root_opinion_id bigint,
opinion_id bigint,
age_suitability bigint, // The effective age suitability
poll_id bigint,
theme_id bigint, // Needed to compute counts by theme and theme+location
location_id int, // Needed to compute counts by location and location + theme
version smallint,
parent_opinion_id bigint,
create_es bigint,
user_id bigint,
data blob,
insert_processed boolean, // Has the initial ingest into CockroachDb finished
PRIMARY KEY ((opinion_id), root_opinion_id, partition_period)
);
/**
Used for retrieving opinion_id and version of recently added Opinions
*/
CREATE MATERIALIZED VIEW period_opinion_ids AS
SELECT partition_period,
root_opinion_id,
age_suitability,
opinion_id,
version
FROM opinions
WHERE partition_period IS NOT NULL
AND root_opinion_id IS NOT NULL
AND opinion_id IS NOT NULL
PRIMARY KEY ((partition_period, root_opinion_id), opinion_id);
/**
Works the same way as period_poll_ids_by_user
Note that create_es is missing from the key since it's not needed in the UI,
which can post sort the opinions in the right order AND is not needed by
the ingest because it can correctly order the records itself. The end effect
is a bit of CPU, Memory Storage savings by the database, which probably adds
up overtime to more benefit than the cost of sorting by the batch and UI.
TODO: make sure that UI sorts period records and batch sorts all of the
records by create_es
*/
CREATE MATERIALIZED VIEW period_opinion_ids_by_user AS
SELECT partition_period,
user_id,
age_suitability, // needed to compute period id blocks per age suitability
opinion_id,
root_opinion_id,
poll_id,
-- location_id,opo
-- theme_id,
create_es // Needed for ordering opinions in user period id blocks
FROM opinions
WHERE partition_period IS NOT NULL
AND user_id IS NOT NULL
AND opinion_id IS NOT NULL
AND root_opinion_id IS NOT NULL
PRIMARY KEY ((partition_period, user_id), opinion_id, root_opinion_id);
/**
Works the same way as period_poll_ids_by_theme. Most recent opinions are not
shown but these views are needed, to support opinion counts by theme/theme+location
/location/location+theme. In case of opinions the ingest process computes only
the counts (for a given partition_period) and not id blocks.
Currently by_theme does double duty of also counting by theme + location.
The argument is that it is fewer records it is easier for ScyllaDB to
*/
CREATE MATERIALIZED VIEW period_opinion_ids_by_theme AS
SELECT partition_period,
age_suitability, // needed to compute period id blocks per age suitability
opinion_id,
poll_id
-- theme_id,
-- location_id,
FROM opinions
WHERE partition_period IS NOT NULL
AND theme_id IS NOT NULL
AND opinion_id IS NOT NULL
AND root_opinion_id IS NOT NULL
PRIMARY KEY ((partition_period, theme_id), opinion_id, root_opinion_id);
// NOTE: not ordering by location_id, done in memory by batch job & UI
/**
Works the same way as period_poll_ids_by_location
Currently by_location does double duty of also counting by location + theme
*/
CREATE MATERIALIZED VIEW period_opinion_ids_by_location AS
SELECT partition_period,
age_suitability, // needed to compute period id blocks per age suitability
-- location_id,
opinion_id,
poll_id
-- theme_id,
FROM opinions
WHERE partition_period IS NOT NULL
AND location_id IS NOT NULL
AND opinion_id IS NOT NULL
AND root_opinion_id IS NOT NULL
PRIMARY KEY ((partition_period, location_id), opinion_id, root_opinion_id);
// NOTE: not ordering by theme_id, done in memory by batch job & UI
-----------------------
-- OPINION ID BLOCKS --
-----------------------
/**
Access is provided for the user to lookup their own opinions.
We also keep them historically so the user can go back and see
what were they writing at some period of time in the past.
*/
/**
Works the same way as period_poll_id_blocks_by_user
*/
CREATE TABLE period_opinion_id_blocks_by_user
(
partition_period int,
age_suitability tinyint,
user_id bigint,
theme_ids blob,
location_ids blob,
opinion_ids blob,
root_opinion_ids blob,
PRIMARY KEY ((partition_period, age_suitability, user_id))
);
/**
Works the same way as day_poll_id_blocks_by_user
*/
CREATE TABLE day_opinion_id_blocks_by_user
(
date int,
age_suitability tinyint,
user_id bigint,
theme_ids blob,
location_ids blob,
opinion_ids blob,
root_opinion_ids blob,
PRIMARY KEY ((date, age_suitability, user_id))
);
/**
Works the same way as month_poll_id_blocks_by_user
*/
CREATE TABLE month_opinion_id_blocks_by_user
(
month smallint,
age_suitability tinyint,
user_id bigint,
theme_ids blob,
location_ids blob,
opinion_ids blob,
root_opinion_ids blob,
PRIMARY KEY ((month, age_suitability, user_id))
);
/**
?Year blocks should not be needed?
Works the same way as year_poll_id_blocks_by_user
CREATE TABLE year_opinion_id_blocks_by_user
(
year smallint,
age_suitability tinyint,
user_id bigint,
theme_ids blob,
location_ids blob,
opinion_ids blob,
root_opinion_ids blob,
PRIMARY KEY ((year, age_suitability, user_id))
);
*/
---------------------
-- OPINION UPDATES --
---------------------
-- for ingest of updates into CRDB and Vespa
/**
Records updates to opinions (in a given partition_period). If an opinion is
updated multiple times in that partition_period only one record is retained.
If an opinion is created in the same partition_period then no
record is created here.
Data is not stored in the update record, since it's found in the opinion
record itself and there does not appear to be any value in keeping older
versions of opinions. The batch process(es) reads the opinion record (which
itself is updated).
Opinion updates ingest can run at the same time as either poll or opinion
insert process. This is because the opinion (and poll) are already
guaranteed to exist.
*/
CREATE TABLE opinion_updates
(
partition_period int,
root_opinion_id bigint,
opinion_id bigint,
// Version is needed for the UI query (to know which version of
// opinion to request).
version smallint,
update_processed boolean,
PRIMARY KEY ((partition_period, root_opinion_id), opinion_id)
);
-------------------
-- ROOT OPINIONS --
-------------------
/**
Root opinions are a convenient construct to group Opinions by when displaying in the UI.
It groups the data of all opinions under the root (top level) opinion of a given poll.
They allow to group a number of opinions together, instead of having to query for each
one individually. They also allow for different opinion sorting/ranking. Along with
opinion id it's root opinion id is retrieved. Then the entire root opinion is retrieved
and rendered in whatever way is most convenient.
These should work well up to mid-scale. Eventually we'll want to add support for users to
drill down into a particular sub-opinion and watch only what happens there. This could
become very useful in very large polls where multiple conversations are being contributed
to at the same time. This can be easily controlled by detecting what the user is looking
at at a given time and only watching that The relevant sub-thread. One way to do this is
to cut off root thread recording at a particular depth and record sub content in separate
sub threads.
Visually we might want to support nesting of trees and lists so that the user gets a clue
for what was happening previously. Internally everything can be stored as a tree. However
if opinions a very close to each other in time then some sub-trees are better collapsed
into lists.
NOTE: root opinions are populated by ingest after the initial ingest of opinions and
opinion updates is performed. At that point the ids of polls that have new and updated opinions
(in the last partition period) are known and is recorded by the poll batch process in a
separate table. Also recorded are the ids of modified the root opinions. These two ids are
(eventually to be) used by root opinion ingest (coordinator, to distribute work between worker
nodes). Then opinions table is used to query all opinions for a given poll that have been
inserted or updated in a given partition period. At that point the new copy of root opinion
data is created and persisted.
When the UI requests the root opinions it also requests the last processed partition period.
That's how it knows witch additional individual poll and poll update ids to request.
*/
CREATE TABLE root_opinions
(
opinion_id bigint, // the root opinion_id
poll_id bigint,
version int, // this is the latest updated partition_period
create_es bigint, // Needed to sort root opinions by creation time (to show in
data blob,
// newest or oldest order)
/*
Shouldn't need this column. In case of batch failures there may be an point when
a later batch succeeded but an earlier has not so, in such a case this wouldn't be of
any use.
*/
-- last_processed_period text,
PRIMARY KEY ((opinion_id), poll_id)
);
-- for lookup of historical thread record when first displaying it
-- its more compact than root_opinions and hence iterating and returning
-- a block of ids & position (root_opinion_id + version & create_es) should be faster
-- (less disk io)
CREATE MATERIALIZED VIEW root_opinion_ids AS
SELECT poll_id, opinion_id, version
FROM root_opinions
WHERE poll_id IS NOT NULL
AND opinion_id IS NOT NULL
AND create_es IS NOT NULL
PRIMARY KEY ((poll_id), opinion_id, create_es)
WITH CLUSTERING ORDER BY (create_es DESC);
/**
Opinions
I. Query:
Root opinions take care of grouping historical opinion records by at root level. But,
any any given point in time there may be a number of newer opinions and opinion updates
posted (to a given poll). Here we have two strategies (identified so far):
A. Load them all individually. The positive side of this approach is that it is easier
(just load every new and updated record). The downside is that it can lead to a large
number of requests from the UI (the first time around).
B. There will be at least one more partition period (between the current one and the
already grouped one) that will have an already complete set of new opinions and opinion
updates. So it could be grouped together into a single request and send over in one shot.
The benefit is fewer requests from the UI. The downside is that it complicates the process
(more UI and server logic) and requires more computational resources on read (have to
un-compress individual opinions, put them together and re-compress them again).
So, for now (at least), going with A. Primary because this leads to less code and less
complexity.
1. Root opinion ids are loaded.
2.
a) Certain root opinions (determined to be on the screen or close to it)
are loaded
b) Ids and versions of all opinions added & updated in recent partition
periods are loaded (via period_opinion_ids && opinion_updates).
3. If there are additions and updates they are loaded and cached (on individual basis).
II. Insert process:
During insert first the period_added_to_root_opinion_ids is upserted into (
before the a new opinion record is created). Hence if the process fails before
inserting an opinion the client will re-try the insert. This can lead to
duplicate opinion records being inserted (in rare cases, if the insert succeeded
but network failed) so there will be a way to update opinions as duplicates (by
either the creator or thread/theme/location admin).
Same process happens on update with period_updated_root_opinion_ids.
III. Core Ingest process:
At the time of adding new opinions root_opinion_id_mod is recorded (with mod being ^2,
probably). Same is done for opinion updates.
Then a number of coordinator processes matching the number possibilities for
mod (2, 4, etc.) run. They maintain their lifecycle in CRDB with possible options
being:
- Not Started (no record)
- Started
- Finished
The coordinators load all root_opinion_ids (for additions via
period_added_to_root_opinion_ids and updates via period_updated_root_opinion_ids) that
match their mod and distribute the work between Ingest Worker threads.
Ingest Worker threads work on per root_opinion_id basis. They load all new opinions
(for a given partition period and root_opinion_id). They also load all opinion updates
for same ids. Then they update the related root_opinion record (or create a new one,
if it didn't exist) and transactionally update CockroachDB with all additions and
updates. They also flip opinions.insert_processed and opinion_updates.update_processed
flags (for eventual lookup by post-repair job). Within the same transaction a separate
table is updated in CRDB that keeps track of all completed (per root_opinion) ingests
(for that partition_period).
Once a coordinating process runs out of root_opinion_ids it runs a verification
against CRDB to make sure that all root_opinion_ids it served out have been recorded
in CRDB. If some have not it instructs batch worker threads to re-run those updates.
Once they all have run successfully (and the coordinator re-queried and verified
that) it flips the lifecycle for its run to "Finished".
If the coordinating process itself fails, when it re-starts it first queries it's
lifecycle record, if it's in started it re-loads all root_opinion_ids and all
of the completion records in CRDB and proceeds from there.
It is possible to for some records to be missed due to the eventual consistency
nature of ScyllaDB. So another job will run after the periodic repair process
(that we should probably run daily). For every partition_period it will run
looks lookup against opinions and opinion updates (using the root_opinion_ids
in period_added_to_root_opinion_ids and period_updated_root_opinion_ids) and
finds any missed records, which are recorded in CRDB and then post processed
by batch processes. This works well for opinions but might clobber updates
by users, so the same process also looks for subsequent updates to the same
opinions via CRDB looks for updated_es.
TODO: id block/counts Batch Process
Opinion Ratings
Same process repeats for opinion ratings
*/
/**
For lookup of added-to root_opinion_ids during ingest run.
Keying by root_opinion_id_mod reduces contention for the current partition.
*/
CREATE TABLE period_added_to_root_opinion_ids
(
partition_period int,
poll_id bigint,
root_opinion_id bigint,
root_opinion_id_mod int,
PRIMARY KEY ((partition_period, root_opinion_id_mod), root_opinion_id)
);
/**
For lookup of updated root_opinion_ids during ingest run.
Keying by root_opinion_id_mod reduces contention for the current partition.
*/
CREATE TABLE period_updated_root_opinion_ids
(
partition_period int,
poll_id bigint,
root_opinion_id bigint,
root_opinion_id_mod int,
PRIMARY KEY ((partition_period, root_opinion_id_mod), root_opinion_id)
);
-- for lookup of all root opinion ids in which the user participated
/**
NOTE: not needed - root_opinion_ids are incuded in *_opinon_ids_by_user tables
CREATE TABLE root_opinion_ids_with_user
(
user_id bigint,
partition_period int,
create_es bigint,
opinion_id bigint,
version int,
poll_id bigint,
PRIMARY KEY ((user_id), partition_period, create_es, opinion_id)
)
WITH CLUSTERING ORDER BY (partition_period DESC, create_es DESC);
*/
---------------------
-- OPINION RATINGS --
---------------------
/**
Ratings are different in nature than polls and opinions. They don't have variable data
assigned to them and hence aren't as good of candidates for caching individually as are
polls and opinions. So, it makes sense to cache them in batches (all ratings for a poll
& root opinion) and retrieve the remainder in one (non-cached) shot.
Process or retrieving a thread:
1) Retrieve all root opinion ids. Along with it retrieve last finished batch period
(or batch periods if/once they are different for polls and opinions, etc.) NOTE: very
operation returns it.
2)
a. Retrieve all shown root opinions (that are expected to be rendered on the screen)
b. Retrieve all shown root opinion ratings (for the same root opinions)
c. Retrieve all recent opinion ids (since last batch period)
d. Retrieve all recent opinion update ids (since last batch period)
e. Retrieve all recent ratings for all shown root opinions
3)
a. (If in recent opinions there are shown root opinions) retrieve recent opinion
ratings for the new root opinions
Then continuously as the user scrolls down step 2 is repeated.
*/
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE opinion_ratings
(
root_opinion_id bigint,
partition_period int,
opinion_rating_id bigint,
rating_type int,
poll_id bigint,
opinion_id bigint,
theme_id bigint, // Needed to compute counts by theme and theme+location
location_id int, // Needed to compute counts by location and location + theme
-- version int, since a given rating is just a uint64 it doesn't make sense
-- to retrieve it individually
-- parent_opinion_id bigint, // can't find a need for this right now
create_es bigint,
user_id bigint,
rating bigint,
insert_processed boolean, // Has the initial ingest into CockroachDb finished
PRIMARY KEY ((partition_period, root_opinion_id), opinion_rating_id)
);
/**
Works the same way as period_poll_ids_by_user
Note that create_es is missing from the key since it's not needed in the UI,
which can post sort the opinions in the right order AND is not needed by
the ingest because it can correctly order the records itself. The end effect
is a bit of CPU, Memory Storage savings by the database, which probably adds
up overtime to more benefit than the cost of sorting by the batch and UI.
TODO: make sure that UI sorts period records and batch sorts all of the
records by create_es
*/
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE MATERIALIZED VIEW period_opinion_ratings_by_user AS
SELECT partition_period,
user_id,
opinion_rating_id,
root_opinion_id, // needed for ability to navigate to the correct part of the thread
opinion_id,
poll_id,
rating_type,
rating,
-- location_id,
-- theme_id,
create_es // Needed for sorting by UI & batch job
FROM opinion_ratings
WHERE partition_period IS NOT NULL
AND user_id IS NOT NULL
AND opinion_rating_id IS NOT NULL
AND root_opinion_id IS NOT NULL
PRIMARY KEY ((partition_period, user_id),
opinion_rating_id, root_opinion_id);
/**
Works the same way as period_poll_ids_by_theme. Most recent opinion ratings are not
shown but these views are needed, to support opinion counts by theme/theme+location
/location/location+theme. In case of opinion ratings the ingest process computes
only the counts (for a given partition_period) and not id blocks.
Currently by_theme does double duty of also counting by theme + location.
The argument is that it is fewer records it is easier for ScyllaDB to
*/
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE MATERIALIZED VIEW period_opinion_ratings_by_theme AS
SELECT partition_period,
-- theme_id,
opinion_rating_id,
-- root_opinion_id,
poll_id,
-- location_id,
rating_type,
rating
FROM opinion_ratings
WHERE partition_period IS NOT NULL
AND theme_id IS NOT NULL
AND opinion_rating_id IS NOT NULL
AND root_opinion_id IS NOT NULL
PRIMARY KEY ((partition_period, theme_id), opinion_rating_id, root_opinion_id);
// NOTE: not ordering by location_id, done in memory by batch job & UI
/**
Works the same way as period_poll_ids_by_location
Currently by_location does double duty of also counting by location + theme
*/
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE MATERIALIZED VIEW period_opinion_ratings_by_location AS
SELECT partition_period,
-- location_id,
opinion_rating_id,
-- root_opinion_id,
poll_id,
-- theme_id,
rating_type,
rating
FROM opinion_ratings
WHERE partition_period IS NOT NULL
AND location_id IS NOT NULL
AND opinion_rating_id IS NOT NULL
AND root_opinion_id IS NOT NULL
PRIMARY KEY ((partition_period, location_id), opinion_rating_id, root_opinion_id);
// NOTE: not ordering by theme_id, done in memory by batch job & UI
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
/**
Not needed, this is embedded into root_opinion_ratings and is then adjusted
by recent partition_period opinion_ratings and opinion_rating_updates
CREATE TABLE opinion_rating_averages
(
rating_type int,
poll_id bigint,
partition_period bigint,
opinion_id bigint,
count bigint,
average double,
rating bigint,
PRIMARY KEY ((poll_id, partition_period), opinion_id, rating_type)
);
*/
-----------------------
-- OPINION RATING BLOCKS --
-----------------------
/**
Access is provided for the user to lookup their own opinion rankings.
We also keep them historically so the user can go back and see
what were they writing at some period of time in the past.
*/
/**
Works the same way as period_poll_id_blocks_by_user
*/
CREATE TABLE period_opinion_rating_blocks_by_user
(
partition_period int,
user_id bigint,
rating_types blob,
opinion_ids blob,
root_opinion_ids blob,
poll_ids blob,
theme_ids blob,
location_ids blob,
create_eses blob,
ratings blob,
PRIMARY KEY ((partition_period, user_id))
);
/**
Works the same way as day_poll_id_blocks_by_user
*/
CREATE TABLE day_opinion_rating_blocks_by_user
(
date int,
user_id bigint,
rating_types blob,
opinion_ids blob,
root_opinion_ids blob,
poll_ids blob,
theme_ids blob,
location_ids blob,
create_eses blob,
ratings blob,
PRIMARY KEY ((date, user_id))
);
/**
Works the same way as month_poll_id_blocks_by_user
*/
CREATE TABLE month_opinion_rating_blocks_by_user
(
month smallint,
user_id bigint,
rating_types blob,
opinion_ids blob,
root_opinion_ids blob,
poll_ids blob,
theme_ids blob,
location_ids blob,
create_eses blob,
ratings blob,
PRIMARY KEY ((month, user_id))
);
----------------------------
-- OPINION RATING UPDATES --
----------------------------
-- for ingest of updates into CRDB and Vespa
/**
Records updates to opinion ratings (in a given partition_period). If an
opinion rating is updated multiple times in that partition_period only
one record is retained.
If an opinion rating is created in the same partition_period then no
record is created here.
The batch process(es) updates the source opinion rating record.
Opinion rating updates ingest can run at the same time as either
poll or opinion insert process. This is because the opinion
(and poll) are already guaranteed to exist.
*/
CREATE TABLE opinion_rating_updates
(
root_opinion_id bigint,
partition_period int,
ingest_batch_id int,
opinion_rating_id bigint,
rating_type int,
rating bigint,
update_processed boolean,
PRIMARY KEY ((partition_period, ingest_batch_id), opinion_rating_id)
);
--------------------------
-- ROOT OPINION RATINGS --
--------------------------
/**
Root opinions are a convenient construct to group Opinion Ratings by when displaying
in the UI. It groups the data of all opinion ratings under the root (top level) opinion
of a given poll. They allow to group a number of opinion ratings together, instead of
having to query for each one individually. The entire root opinion rating is retrieved
and rendered in whatever way is most convenient.
NOTE: root opinion ratings are populated by ingest after the initial ingest of opinion ratings
and opinion rating updates is performed. At that point the ids of root opinions that have new
and updated opinion ratings (in the last partition period) are known and is recorded by the
opinion rating batch process in a separate table. These ids are (eventually to be) used by
root opinion rating ingest (coordinator, to distribute work between worker nodes). Then
opinion_ratings table is used to query all opinion ratings for a given root opinion that
have been inserted or updated in a given partition period. At that point the new copy of
root opinion update data is created and persisted.
When the UI requests the root opinion updates it also requests the last processed partition
period. That's how it knows witch additional individual ratings and rating updates to request.
*/
CREATE TABLE root_opinion_ratings
(
opinion_id bigint, // the root opinion_id
version int, // this is the latest updated partition_period
data blob,
/*
Shouldn't need this column. In case of batch failures there may be an point when
a later batch succeeded but an earlier has not so, in such a case this wouldn't be of
any use.
*/
-- last_processed_period text,
PRIMARY KEY ((opinion_id))
);
/**
For lookup of recent opinion additions/changes to a given poll.
*/
CREATE TABLE period_rated_root_opinion_ids
(
partition_period int,
root_opinion_id bigint,
root_opinion_id_mod int,
PRIMARY KEY ((partition_period, root_opinion_id))
);
CREATE MATERIALIZED VIEW period_rated_root_opinion_ids_by_mod AS
SELECT partition_period,
root_opinion_id_mod,
root_opinion_id
FROM period_added_to_root_opinion_ids
WHERE partition_period IS NOT NULL
AND root_opinion_id_mod IS NOT NULL
AND root_opinion_id IS NOT NULL
PRIMARY KEY ((partition_period, root_opinion_id_mod), root_opinion_id);
/**
For lookup of recent opinion additions/changes to a given poll.
*/
CREATE TABLE period_rerated_root_opinion_ids
(
partition_period int,
root_opinion_id bigint,
root_opinion_id_mod int,
PRIMARY KEY ((partition_period, root_opinion_id))
);
CREATE MATERIALIZED VIEW period_rerated_root_opinion_ids_by_mod AS
SELECT partition_period,
root_opinion_id_mod,
root_opinion_id
FROM period_added_to_root_opinion_ids
WHERE partition_period IS NOT NULL
AND root_opinion_id_mod IS NOT NULL
AND root_opinion_id IS NOT NULL
PRIMARY KEY ((partition_period, root_opinion_id_mod), root_opinion_id);
------------
-- COUNTS --
------------
/*
Counts are meant to be exposed to the general public (and hence are
in ScyllaDB). Since we already process all of the records in batches
and compute id blocks, counts is a natural extension of this process.
It takes very little extra effort to record the counts (once Id
blocks are computed).
*/
/*
Period count breakdowns by user are not done - just not enough data
is expected on per user/per period basis. They are done daily.
*/
CREATE TABLE period_counts_by_theme
(
partition_period int,
age_suitability tinyint,
theme_id bigint,
poll_counts int,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((partition_period, age_suitability, theme_id))
);
CREATE TABLE period_counts_by_theme_n_location
(
partition_period int,
age_suitability tinyint,
theme_id bigint,
location_id int,
poll_counts int,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((partition_period, age_suitability, theme_id), location_id)
);
CREATE TABLE period_counts_by_location
(
partition_period int,
age_suitability tinyint,
theme_id bigint,
location_id int,
poll_counts int,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((partition_period, age_suitability, location_id))
);
CREATE TABLE period_counts_by_location_n_theme
(
partition_period int,
age_suitability tinyint,
theme_id bigint,
location_id int,
poll_counts int,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((partition_period, age_suitability, location_id), theme_id)
);
-- populated daily, for lookup of poll data by user
-- contains poll ids for actual and aggregate themes
CREATE TABLE day_counts_by_user
(
date int,
age_suitability tinyint,
user_id bigint,
poll_counts int,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((date, age_suitability, user_id))
);
-- populated daily, for lookup of poll data by user
-- contains poll ids for actual and aggregate themes
CREATE TABLE day_counts_by_user_n_theme
(
date int,
age_suitability tinyint,
user_id bigint,
theme_id bigint,
poll_counts int,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((date, age_suitability, user_id), theme_id)
);
-- populated daily, for lookup of poll data by user
-- contains poll ids for actual and aggregate themes and locations
CREATE TABLE day_counts_by_user_n_theme_n_location
(
date int,
age_suitability tinyint,
user_id bigint,
theme_id bigint,
location_id int,
poll_counts int,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((date, age_suitability, user_id), theme_id, location_id)
);
-- populated daily, for lookup of poll data by user
-- contains poll ids for actual and aggregate locations
CREATE TABLE day_counts_by_user_n_location
(
date int,
age_suitability tinyint,
user_id bigint,
location_id int,
poll_counts int,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((date, age_suitability, user_id), location_id)
);
-- populated daily, for lookup of poll data by theme
-- contains poll ids for actual and aggregate themes
CREATE TABLE day_counts_by_theme
(
date int,
age_suitability tinyint,
theme_id bigint,
poll_counts bigint,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((date, age_suitability, theme_id))
);
-- populated daily, for lookup of poll data by theme + location
-- contains poll ids for actual and aggregate themes by locations
CREATE TABLE day_counts_by_theme_n_location
(
date int,
age_suitability tinyint,
theme_id bigint,
location_id int,
poll_counts bigint,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((date, age_suitability, theme_id), location_id)
);
-- populated daily, for lookup of poll data by location
-- contains poll ids for actual and aggregate locations
CREATE TABLE day_counts_by_location
(
date int,
age_suitability tinyint,
location_id int,
poll_counts bigint,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((date, age_suitability, location_id))
);
-- populated daily, for lookup of poll data by location+theme
-- contains poll ids for actual and aggregate locations
CREATE TABLE day_counts_by_location_n_theme
(
date int,
age_suitability tinyint,
location_id int,
theme_id bigint,
poll_counts bigint,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((date, age_suitability, location_id), theme_id)
);
-- populated monthly, for lookup of poll data by user
-- contains poll ids for actual and aggregate themes
CREATE TABLE month_counts_by_user
(
month smallint,
age_suitability tinyint,
user_id bigint,
poll_counts int,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((month, age_suitability, user_id))
);
-- populated daily, for lookup of poll data by user
-- contains poll ids for actual and aggregate themes
CREATE TABLE month_counts_by_user_n_theme
(
month smallint,
age_suitability tinyint,
user_id bigint,
theme_id bigint,
poll_counts int,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((month, age_suitability, user_id), theme_id)
);
-- populated daily, for lookup of poll data by user
-- contains poll ids for actual and aggregate themes and locations
CREATE TABLE month_counts_by_user_n_theme_n_location
(
month smallint,
age_suitability tinyint,
user_id bigint,
theme_id bigint,
location_id int,
poll_counts int,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((month, age_suitability, user_id, theme_id), location_id)
);
-- populated daily, for lookup of poll data by user
-- contains poll ids for actual and aggregate locations
CREATE TABLE month_counts_by_user_n_location
(
month smallint,
age_suitability tinyint,
user_id bigint,
location_id int,
poll_counts int,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((month, age_suitability, user_id), location_id)
);
-- populated monthly, for lookup of poll data by theme
-- contains poll ids for actual and aggregate themes
CREATE TABLE month_counts_by_theme
(
month smallint,
age_suitability tinyint,
theme_id bigint,
poll_counts bigint,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((month, age_suitability, theme_id))
);
-- populated monthly, for lookup of poll data by theme + location
-- contains poll ids for actual and aggregate themes by locations
CREATE TABLE month_counts_by_theme_n_location
(
month smallint,
age_suitability tinyint,
theme_id bigint,
location_id int,
poll_counts bigint,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((month, age_suitability, theme_id), location_id)
);
-- populated monthly, for lookup of poll data by location
-- contains poll ids for actual and aggregate locations
CREATE TABLE month_counts_by_location
(
month smallint,
age_suitability tinyint,
location_id int,
poll_counts bigint,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((month, age_suitability, location_id))
);
-- populated monthly, for lookup of poll data by location
-- contains poll ids for actual and aggregate locations
CREATE TABLE month_counts_by_location_n_theme
(
month smallint,
age_suitability tinyint,
location_id int,
theme_id bigint,
poll_counts bigint,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((month, age_suitability, location_id), theme_id)
);
CREATE TABLE year_counts_by_user
(
year smallint,
age_suitability tinyint,
user_id bigint,
poll_counts int,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((year, age_suitability, user_id))
);
CREATE TABLE year_counts_by_user_n_theme
(
year smallint,
age_suitability tinyint,
user_id bigint,
theme_id bigint,
poll_counts int,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((year, age_suitability, user_id), theme_id)
);
CREATE TABLE year_counts_by_user_n_theme_n_location
(
year smallint,
age_suitability tinyint,
user_id bigint,
theme_id bigint,
location_id int,
poll_counts int,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((year, age_suitability, user_id, theme_id), location_id)
);
CREATE TABLE year_counts_by_user_n_location
(
year smallint,
age_suitability tinyint,
user_id bigint,
location_id int,
poll_counts int,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((year, age_suitability, user_id), location_id)
);
CREATE TABLE year_counts_by_theme
(
year smallint,
age_suitability tinyint,
theme_id bigint,
poll_counts bigint,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((year, age_suitability, theme_id))
);
CREATE TABLE year_counts_by_theme_n_location
(
year smallint,
age_suitability tinyint,
theme_id bigint,
location_id int,
poll_counts bigint,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((year, age_suitability, theme_id), location_id)
);
CREATE TABLE year_counts_by_location
(
year smallint,
age_suitability tinyint,
location_id int,
poll_counts bigint,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((year, age_suitability, location_id))
);
CREATE TABLE year_counts_by_location_n_theme
(
year smallint,
age_suitability tinyint,
location_id int,
theme_id bigint,
poll_counts bigint,
opinion_counts bigint,
vote_counts bigint,
PRIMARY KEY ((year, age_suitability, location_id), theme_id)
);
-------------------
-- RATING COUNTS --
-------------------
/*
Rating counts are meant to be exposed to the general public (and hence are
in ScyllaDB). Since we already process all of the records in batches
and compute id blocks, rating counts is a natural extension of this process.
It takes very little extra effort to record the counts (once Id
blocks are computed).
*/
/*
Period rating count breakdowns by user are not done - just not enough data
is expected on per user/per period basis. They are done daily.
*/
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE period_opinion_rating_counts_by_theme
(
partition_period int,
theme_id bigint,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((partition_period, theme_id), rating_type)
);
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE period_opinion_rating_counts_by_theme_n_location
(
partition_period int,
theme_id bigint,
location_id int,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((partition_period, theme_id), location_id, rating_type)
);
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE period_opinion_rating_counts_by_location
(
partition_period int,
theme_id bigint,
location_id int,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((partition_period, location_id), rating_type)
);
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE period_opinion_rating_counts_by_location_n_theme
(
partition_period int,
theme_id bigint,
location_id int,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((partition_period, location_id), theme_id, rating_type)
);
-- populated daily, for lookup of poll data by user
-- contains poll ids for actual and aggregate themes
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE day_opinion_rating_counts_by_user
(
date int,
user_id bigint,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((date, user_id), rating_type)
);
-- populated daily, for lookup of poll data by user
-- contains poll ids for actual and aggregate themes
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE day_opinion_rating_counts_by_user_n_theme
(
date int,
user_id bigint,
theme_id bigint,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((date, user_id), theme_id, rating_type)
);
-- populated daily, for lookup of poll data by user
-- contains poll ids for actual and aggregate themes and locations
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE day_opinion_rating_counts_by_usr_n_thm_n_lctn
(
date int,
user_id bigint,
theme_id bigint,
location_id int,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((date, user_id), theme_id, location_id, rating_type)
);
-- populated daily, for lookup of poll data by user
-- contains poll ids for actual and aggregate locations
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE day_opinion_rating_counts_by_user_n_location
(
date int,
user_id bigint,
location_id int,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((date, user_id), location_id, rating_type)
);
-- populated daily, for lookup of poll data by theme
-- contains poll ids for actual and aggregate themes
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE day_opinion_rating_counts_by_theme
(
date int,
theme_id bigint,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((date, theme_id), rating_type)
);
-- populated daily, for lookup of poll data by theme + location
-- contains poll ids for actual and aggregate themes by locations
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE day_opinion_rating_counts_by_theme_n_location
(
date int,
theme_id bigint,
location_id int,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((date, theme_id), location_id, rating_type)
);
-- populated daily, for lookup of poll data by location
-- contains poll ids for actual and aggregate locations
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE day_opinion_rating_counts_by_location
(
date int,
location_id int,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((date, location_id), rating_type)
);
-- populated daily, for lookup of poll data by location+theme
-- contains poll ids for actual and aggregate locations
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE day_opinion_rating_counts_by_location_n_theme
(
date int,
location_id int,
theme_id bigint,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((date, location_id), theme_id, rating_type)
);
-- populated monthly, for lookup of poll data by user
-- contains poll ids for actual and aggregate themes
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE month_opinion_rating_counts_by_user
(
month smallint,
user_id bigint,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((month, user_id), rating_type)
);
-- populated daily, for lookup of poll data by user
-- contains poll ids for actual and aggregate themes
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE month_opinion_rating_counts_by_user_n_theme
(
month smallint,
user_id bigint,
theme_id bigint,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((month, user_id), theme_id, rating_type)
);
-- populated daily, for lookup of poll data by user
-- contains poll ids for actual and aggregate themes and locations
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE month_opinion_rating_counts_by_usr_n_thm_n_lctn
(
month smallint,
user_id bigint,
theme_id bigint,
location_id int,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((month, user_id, theme_id), location_id, rating_type)
);
-- populated daily, for lookup of poll data by user
-- contains poll ids for actual and aggregate locations
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE month_opinion_rating_counts_by_user_n_location
(
month smallint,
user_id bigint,
location_id int,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((month, user_id), location_id, rating_type)
);
-- populated monthly, for lookup of poll data by theme
-- contains poll ids for actual and aggregate themes
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE month_opinion_rating_counts_by_theme
(
month smallint,
theme_id bigint,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((month, theme_id), rating_type)
);
-- populated monthly, for lookup of poll data by theme + location
-- contains poll ids for actual and aggregate themes by locations
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE month_opinion_rating_counts_by_theme_n_location
(
month smallint,
theme_id bigint,
location_id int,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((month, theme_id), location_id, rating_type)
);
-- populated monthly, for lookup of poll data by location
-- contains poll ids for actual and aggregate locations
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE month_opinion_rating_counts_by_location
(
month smallint,
location_id int,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((month, location_id), rating_type)
);
-- populated monthly, for lookup of poll data by location
-- contains poll ids for actual and aggregate locations
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE month_opinion_rating_counts_by_location_n_theme
(
month smallint,
location_id int,
theme_id bigint,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((month, location_id), theme_id, rating_type)
);
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE year_opinion_rating_counts_by_user
(
year smallint,
user_id bigint,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((year, user_id), rating_type)
);
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE year_opinion_rating_counts_by_user_n_theme
(
year smallint,
user_id bigint,
theme_id bigint,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((year, user_id), theme_id, rating_type)
);
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE year_opinion_rating_counts_by_usr_n_thm_n_lctn
(
year smallint,
user_id bigint,
theme_id bigint,
location_id int,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((year, user_id, theme_id), location_id, rating_type)
);
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE year_opinion_rating_counts_by_user_n_location
(
year smallint,
user_id bigint,
location_id int,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((year, user_id), location_id, rating_type)
);
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE year_opinion_rating_counts_by_theme
(
year smallint,
theme_id bigint,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((year, theme_id), rating_type)
);
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE year_opinion_rating_counts_by_theme_n_location
(
year smallint,
theme_id bigint,
location_id int,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((year, theme_id), location_id, rating_type)
);
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE year_opinion_rating_counts_by_location
(
year smallint,
location_id int,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((year, location_id), rating_type)
);
-- NOTE: age_suitability is implied by rating_type and can be filtered in the UI
CREATE TABLE year_opinion_rating_counts_by_location_n_theme
(
year smallint,
location_id int,
theme_id bigint,
rating_type int,
count bigint,
average double,
PRIMARY KEY ((year, location_id), theme_id, rating_type)
);
-----------------
-- TODO: OTHER --
-----------------
CREATE TABLE users
(
user_id bigint,
PRIMARY KEY (user_id)
);
CREATE TABLE user_lookup
(
username text,
user_id bigint,
password_hash text,
PRIMARY KEY (username)
);
CREATE TABLE user_sessions
(
partition_period int,
session_id text,
last_action_es bigint,
keep_signed_in tinyint,
user_id int,
data blob,
PRIMARY KEY ((partition_period, session_id))
);
CREATE TABLE user_sessions_for_timeout_batch
(
partition_period int,
session_id text,
last_action_es bigint,
keep_signed_in tinyint,
PRIMARY KEY ((partition_period), session_id)
);
-- insert into polls (poll_id, user_id, create_es, data)
-- values(1, 1, 1578602993, textAsBlob('hello poll!'));
--
-- insert into poll_keys (poll_id, user_id, create_es)
-- values(1, 1, 1578602993);
--
-- insert into threads (poll_id, user_id, create_es, data)
-- values(1, 1, 1578602993, textAsBlob('hello thread!'));
--
-- insert into opinions (opinion_id, poll_id, date, user_id, create_es, data, processed)
-- values(1, 1, '2020-01-09', 1, 1578602995, textAsBlob('hello ScyllaDB!'), false);
/*
insert into user_sessions (partition_period,
session_id,
last_action_es,
keep_signed_in,
user_id,
data)
values (1,
'1',
1,
1,
0,
null);
*/
|
-- DDL file generated by ./generate_oracle_deployable.sh on 03132007124002
-- ====================================================
-- ====================================================
-- ====================================================
PROMPT Creating Tables
REM ======================================================================
REM === Sql Script for Database : DBS_NEW_ERA
REM ===
REM === Build : 628
REM ======================================================================
CREATE TABLE Person
(
ID integer,
Name varchar(100),
DistinguishedName varchar(500) unique not null,
ContactInfo varchar(250),
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE Role
(
ID integer,
RoleName varchar(100) unique not null,
RoleDescription varchar(500) not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE AssignedRole
(
ID integer,
PersonID integer not null,
RoleID integer not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE PhysicsGroup
(
ID integer,
PhysicsGroupName varchar(500) unique not null,
PhysicsGroupConvener integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE SchemaVersion
(
ID integer,
SchemaVersion varchar(100) unique not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE Runs
(
ID integer,
RunNumber integer unique not null,
NumberOfEvents integer not null,
NumberOfLumiSections integer not null,
TotalLuminosity integer not null,
StoreNumber integer not null,
StartOfRun varchar(100),
EndOfRun varchar(100),
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID)
);
REM ======================================================================
CREATE TABLE DataTier
(
ID integer,
Name varchar(100) unique not null,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE LumiSection
(
ID integer,
LumiSectionNumber integer not null,
RunNumber integer not null,
StartEventNumber integer not null,
EndEventNumber integer not null,
LumiStartTime varchar(100),
LumiEndTime varchar(100),
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID),
unique(LumiSectionNumber,RunNumber)
);
REM ======================================================================
CREATE TABLE Branch
(
ID integer,
Name varchar(500) unique not null,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE TimeLog
(
ID integer,
Action varchar(100) not null,
Cause varchar(100) not null,
Effect varchar(100) not null,
Description varchar(500) not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE DataTierOrder
(
ID integer,
DataTierOrder varchar(250) unique not null,
Description varchar(1000),
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE AppFamily
(
ID integer,
FamilyName varchar(100) unique not null,
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID)
);
REM ======================================================================
CREATE TABLE AppVersion
(
ID integer,
Version varchar(100) unique not null,
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID)
);
REM ======================================================================
CREATE TABLE AppExecutable
(
ID integer,
ExecutableName varchar(100) unique not null,
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID)
);
REM ======================================================================
CREATE TABLE QueryableParameterSet
(
ID integer,
Hash varchar(700) unique not null,
Name varchar(1000),
Version varchar(100),
Type varchar(100),
Annotation varchar(1000),
Content CLOB,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE ParameterBinding
(
ID integer,
Self integer not null,
Contains integer not null,
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID)
);
REM ======================================================================
CREATE TABLE TriggerPathDescription
(
ID integer,
TriggerPathDescription varchar(100) unique not null,
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID)
);
REM ======================================================================
CREATE TABLE MCDescription
(
ID integer,
MCChannelDescription varchar(100) not null,
MCProduction varchar(100),
MCDecayChain varchar(100),
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID),
unique(MCChannelDescription,MCProduction,MCDecayChain)
);
REM ======================================================================
CREATE TABLE OtherDescription
(
ID integer,
Description varchar(100) unique not null,
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID)
);
REM ======================================================================
CREATE TABLE FileStatus
(
ID integer,
Status varchar(100) unique not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE FileType
(
ID integer,
Type varchar(100) unique not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE FileValidStatus
(
ID integer,
Status varchar(100) unique not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE AnalysisDSType
(
ID integer,
Type varchar(100) unique not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE AnalysisDSStatus
(
ID integer,
Status varchar(100) unique not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE AnalysisDSDef
(
ID integer,
Name varchar(700) unique not null,
LumiSections CLOB,
LumiSectionRanges CLOB,
Runs CLOB,
RunsRanges CLOB,
Algorithms varchar(1000),
LFNs CLOB,
Path varchar(1000),
Tiers varchar(250),
AnalysisDatasets CLOB,
UserCut CLOB,
Description CLOB,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE StorageElement
(
ID integer,
SEName varchar(500) unique not null,
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID)
);
REM ======================================================================
CREATE TABLE ProcDSStatus
(
ID integer,
Status varchar(100) unique not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE PrimaryDSType
(
ID integer,
Type varchar(100) unique not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE AlgorithmConfig
(
ID integer,
ExecutableName integer not null,
ApplicationVersion integer not null,
ApplicationFamily integer not null,
ParameterSetID integer not null,
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID),
unique(ExecutableName,ApplicationVersion,ApplicationFamily,ParameterSetID)
);
REM ======================================================================
CREATE TABLE PrimaryDatasetDescription
(
ID integer,
TriggerDescriptionID integer,
MCChannelDescriptionID integer,
OtherDescriptionID integer,
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID),
unique(TriggerDescriptionID,MCChannelDescriptionID,OtherDescriptionID)
);
REM ======================================================================
CREATE TABLE PrimaryDataset
(
ID integer,
Name varchar(100) unique not null,
Annotation varchar(1000) not null,
Description integer,
StartDate varchar(100),
EndDate varchar(100),
Type integer not null,
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID)
);
REM ======================================================================
CREATE TABLE ProcessedDataset
(
ID integer,
Name varchar(500) not null,
PrimaryDataset integer not null,
PhysicsGroup integer not null,
Status integer not null,
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID),
unique(Name,PrimaryDataset)
);
REM ======================================================================
CREATE TABLE AnalysisDataset
(
ID integer,
Name varchar(500) unique not null,
Annotation varchar(1000) not null,
ProcessedDS integer not null,
Definition integer not null,
Type integer not null,
Status integer not null,
Parent integer,
PhysicsGroup integer not null,
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID)
);
REM ======================================================================
CREATE TABLE ProcDSRuns
(
ID integer,
Dataset integer not null,
Run integer not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID),
unique(Dataset,Run)
);
REM ======================================================================
CREATE TABLE ProcDSTier
(
ID integer,
Dataset integer not null,
DataTier integer not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID),
unique(Dataset,DataTier)
);
REM ======================================================================
CREATE TABLE ProcDSParent
(
ID integer,
ThisDataset integer not null,
ItsParent integer not null,
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID),
unique(ThisDataset,ItsParent)
);
REM ======================================================================
CREATE TABLE ProcAlgo
(
ID integer,
Dataset integer not null,
Algorithm integer not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID),
unique(Dataset,Algorithm)
);
REM ======================================================================
CREATE TABLE Block
(
ID integer,
Name varchar(500) unique not null,
Path varchar(500) not null,
Dataset integer not null,
BlockSize integer not null,
NumberOfFiles integer not null,
NumberOfEvents integer not null,
OpenForWriting integer not null,
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID)
);
REM ======================================================================
CREATE TABLE Files
(
ID integer,
LogicalFileName varchar(500) unique not null,
Dataset integer not null,
Block integer not null,
Checksum varchar(100) not null,
NumberOfEvents integer not null,
FileSize integer not null,
FileStatus integer not null,
FileType integer not null,
ValidationStatus integer,
QueryableMetadata varchar(1000),
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID)
);
REM ======================================================================
CREATE TABLE FileTier
(
ID integer,
Fileid integer not null,
DataTier integer not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID),
unique(Fileid,DataTier)
);
REM ======================================================================
CREATE TABLE FileParentage
(
ID integer,
ThisFile integer not null,
ItsParent integer not null,
CreatedBy integer,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
primary key(ID),
unique(ThisFile,ItsParent)
);
REM ======================================================================
CREATE TABLE FileRunLumi
(
ID integer,
Fileid integer not null,
Lumi integer,
Run integer not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID),
unique(Fileid,Lumi,Run)
);
REM ======================================================================
CREATE TABLE FileAlgo
(
ID integer,
Fileid integer not null,
Algorithm integer not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID),
unique(Fileid,Algorithm)
);
REM ======================================================================
CREATE TABLE FileBranch
(
ID integer,
Fileid integer not null,
Branch integer not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID),
unique(Fileid,Branch)
);
REM ======================================================================
CREATE TABLE AnalysisDSFileLumi
(
ID integer,
AnalysisDataset integer not null,
Lumi integer,
Fileid integer not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID),
unique(AnalysisDataset,Lumi,Fileid)
);
REM ======================================================================
CREATE TABLE SEBlock
(
ID integer,
SEID integer not null,
BlockID integer not null,
CreationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
CreatedBy integer,
LastModificationDate TIMESTAMP DEFAULT SYSTIMESTAMP,
LastModifiedBy integer,
primary key(ID),
unique(SEID,BlockID)
);
REM ======================================================================
ALTER TABLE Person ADD CONSTRAINT
Person_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE Person ADD CONSTRAINT
Person_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE Role ADD CONSTRAINT
Role_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE Role ADD CONSTRAINT
Role_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE AssignedRole ADD CONSTRAINT
AssignedRole_PersonID_FK foreign key(PersonID) references Person(ID)
/
ALTER TABLE AssignedRole ADD CONSTRAINT
AssignedRole_RoleID_FK foreign key(RoleID) references Role(ID)
/
ALTER TABLE AssignedRole ADD CONSTRAINT
AssignedRole_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE AssignedRole ADD CONSTRAINT
AssignedRole_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE PhysicsGroup ADD CONSTRAINT
PhysicsGroupPhysicsGroupCon_FK foreign key(PhysicsGroupConvener) references Person(ID)
/
ALTER TABLE PhysicsGroup ADD CONSTRAINT
PhysicsGroup_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE PhysicsGroup ADD CONSTRAINT
PhysicsGroup_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE SchemaVersion ADD CONSTRAINT
SchemaVersion_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE SchemaVersion ADD CONSTRAINT
SchemaVersionLastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE Runs ADD CONSTRAINT
Runs_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE Runs ADD CONSTRAINT
Runs_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE DataTier ADD CONSTRAINT
DataTier_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE DataTier ADD CONSTRAINT
DataTier_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE LumiSection ADD CONSTRAINT
LumiSection_RunNumber_FK foreign key(RunNumber) references Runs(ID)
/
ALTER TABLE LumiSection ADD CONSTRAINT
LumiSection_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE LumiSection ADD CONSTRAINT
LumiSection_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE Branch ADD CONSTRAINT
Branch_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE Branch ADD CONSTRAINT
Branch_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE TimeLog ADD CONSTRAINT
TimeLog_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE DataTierOrder ADD CONSTRAINT
DataTierOrder_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE AppFamily ADD CONSTRAINT
AppFamily_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE AppFamily ADD CONSTRAINT
AppFamily_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE AppVersion ADD CONSTRAINT
AppVersion_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE AppVersion ADD CONSTRAINT
AppVersion_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE AppExecutable ADD CONSTRAINT
AppExecutable_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE AppExecutable ADD CONSTRAINT
AppExecutableLastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE QueryableParameterSet ADD CONSTRAINT
QueryableParameterSetCreate_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE QueryableParameterSet ADD CONSTRAINT
QueryableParameterSetLastMo_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE ParameterBinding ADD CONSTRAINT
ParameterBinding_Self_FK foreign key(Self) references QueryableParameterSet(ID)
/
ALTER TABLE ParameterBinding ADD CONSTRAINT
ParameterBinding_Contains_FK foreign key(Contains) references QueryableParameterSet(ID)
/
ALTER TABLE ParameterBinding ADD CONSTRAINT
ParameterBinding_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE ParameterBinding ADD CONSTRAINT
ParameterBindingLastModifie_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE TriggerPathDescription ADD CONSTRAINT
TriggerPathDescriptionCreat_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE TriggerPathDescription ADD CONSTRAINT
TriggerPathDescriptionLastM_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE MCDescription ADD CONSTRAINT
MCDescription_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE MCDescription ADD CONSTRAINT
MCDescriptionLastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE OtherDescription ADD CONSTRAINT
OtherDescription_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE OtherDescription ADD CONSTRAINT
OtherDescriptionLastModifie_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE FileStatus ADD CONSTRAINT
FileStatus_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE FileStatus ADD CONSTRAINT
FileStatus_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE FileType ADD CONSTRAINT
FileType_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE FileType ADD CONSTRAINT
FileType_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE FileValidStatus ADD CONSTRAINT
FileValidStatus_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE FileValidStatus ADD CONSTRAINT
FileValidStatusLastModified_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE AnalysisDSType ADD CONSTRAINT
AnalysisDSType_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE AnalysisDSType ADD CONSTRAINT
AnalysisDSTypeLastModifiedB_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE AnalysisDSStatus ADD CONSTRAINT
AnalysisDSStatus_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE AnalysisDSStatus ADD CONSTRAINT
AnalysisDSStatusLastModifie_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE AnalysisDSDef ADD CONSTRAINT
AnalysisDSDef_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE AnalysisDSDef ADD CONSTRAINT
AnalysisDSDefLastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE StorageElement ADD CONSTRAINT
StorageElement_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE StorageElement ADD CONSTRAINT
StorageElementLastModifiedB_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE ProcDSStatus ADD CONSTRAINT
ProcDSStatus_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE ProcDSStatus ADD CONSTRAINT
ProcDSStatus_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE PrimaryDSType ADD CONSTRAINT
PrimaryDSType_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE PrimaryDSType ADD CONSTRAINT
PrimaryDSTypeLastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE AlgorithmConfig ADD CONSTRAINT
AlgorithmConfigExecutableNa_FK foreign key(ExecutableName) references AppExecutable(ID)
/
ALTER TABLE AlgorithmConfig ADD CONSTRAINT
AlgorithmConfigApplicationV_FK foreign key(ApplicationVersion) references AppVersion(ID)
/
ALTER TABLE AlgorithmConfig ADD CONSTRAINT
AlgorithmConfigApplicationF_FK foreign key(ApplicationFamily) references AppFamily(ID)
/
ALTER TABLE AlgorithmConfig ADD CONSTRAINT
AlgorithmConfigParameterSet_FK foreign key(ParameterSetID) references QueryableParameterSet(ID)
/
ALTER TABLE AlgorithmConfig ADD CONSTRAINT
AlgorithmConfig_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE AlgorithmConfig ADD CONSTRAINT
AlgorithmConfigLastModified_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE PrimaryDatasetDescription ADD CONSTRAINT
PrimaryDatasetDescriptionTr_FK foreign key(TriggerDescriptionID) references TriggerPathDescription(ID)
/
ALTER TABLE PrimaryDatasetDescription ADD CONSTRAINT
PrimaryDatasetDescriptionMC_FK foreign key(MCChannelDescriptionID) references MCDescription(ID)
/
ALTER TABLE PrimaryDatasetDescription ADD CONSTRAINT
PrimaryDatasetDescriptionOt_FK foreign key(OtherDescriptionID) references OtherDescription(ID)
/
ALTER TABLE PrimaryDatasetDescription ADD CONSTRAINT
PrimaryDatasetDescriptionCr_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE PrimaryDatasetDescription ADD CONSTRAINT
PrimaryDatasetDescriptionLa_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE PrimaryDataset ADD CONSTRAINT
PrimaryDataset_Description_FK foreign key(Description) references PrimaryDatasetDescription(ID)
/
ALTER TABLE PrimaryDataset ADD CONSTRAINT
PrimaryDataset_Type_FK foreign key(Type) references PrimaryDSType(ID)
/
ALTER TABLE PrimaryDataset ADD CONSTRAINT
PrimaryDataset_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE PrimaryDataset ADD CONSTRAINT
PrimaryDatasetLastModifiedB_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE ProcessedDataset ADD CONSTRAINT
ProcessedDatasetPrimaryData_FK foreign key(PrimaryDataset) references PrimaryDataset(ID) on delete CASCADE
/
ALTER TABLE ProcessedDataset ADD CONSTRAINT
ProcessedDatasetPhysicsGrou_FK foreign key(PhysicsGroup) references PhysicsGroup(ID)
/
ALTER TABLE ProcessedDataset ADD CONSTRAINT
ProcessedDataset_Status_FK foreign key(Status) references ProcDSStatus(ID)
/
ALTER TABLE ProcessedDataset ADD CONSTRAINT
ProcessedDataset_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE ProcessedDataset ADD CONSTRAINT
ProcessedDatasetLastModifie_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE AnalysisDataset ADD CONSTRAINT
AnalysisDataset_ProcessedDS_FK foreign key(ProcessedDS) references ProcessedDataset(ID) on delete CASCADE
/
ALTER TABLE AnalysisDataset ADD CONSTRAINT
AnalysisDataset_Definition_FK foreign key(Definition) references AnalysisDSDef(ID)
/
ALTER TABLE AnalysisDataset ADD CONSTRAINT
AnalysisDataset_Type_FK foreign key(Type) references AnalysisDSType(ID)
/
ALTER TABLE AnalysisDataset ADD CONSTRAINT
AnalysisDataset_Status_FK foreign key(Status) references AnalysisDSStatus(ID)
/
ALTER TABLE AnalysisDataset ADD CONSTRAINT
AnalysisDataset_Parent_FK foreign key(Parent) references AnalysisDataset(ID)
/
ALTER TABLE AnalysisDataset ADD CONSTRAINT
AnalysisDatasetPhysicsGroup_FK foreign key(PhysicsGroup) references PhysicsGroup(ID)
/
ALTER TABLE AnalysisDataset ADD CONSTRAINT
AnalysisDataset_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE AnalysisDataset ADD CONSTRAINT
AnalysisDatasetLastModified_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE ProcDSRuns ADD CONSTRAINT
ProcDSRuns_Dataset_FK foreign key(Dataset) references ProcessedDataset(ID) on delete CASCADE
/
ALTER TABLE ProcDSRuns ADD CONSTRAINT
ProcDSRuns_Run_FK foreign key(Run) references Runs(ID)
/
ALTER TABLE ProcDSRuns ADD CONSTRAINT
ProcDSRuns_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE ProcDSRuns ADD CONSTRAINT
ProcDSRuns_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE ProcDSTier ADD CONSTRAINT
ProcDSTier_Dataset_FK foreign key(Dataset) references ProcessedDataset(ID) on delete CASCADE
/
ALTER TABLE ProcDSTier ADD CONSTRAINT
ProcDSTier_DataTier_FK foreign key(DataTier) references DataTier(ID)
/
ALTER TABLE ProcDSTier ADD CONSTRAINT
ProcDSTier_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE ProcDSTier ADD CONSTRAINT
ProcDSTier_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE ProcDSParent ADD CONSTRAINT
ProcDSParent_ThisDataset_FK foreign key(ThisDataset) references ProcessedDataset(ID) on delete CASCADE
/
ALTER TABLE ProcDSParent ADD CONSTRAINT
ProcDSParent_ItsParent_FK foreign key(ItsParent) references ProcessedDataset(ID) on delete CASCADE
/
ALTER TABLE ProcDSParent ADD CONSTRAINT
ProcDSParent_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE ProcDSParent ADD CONSTRAINT
ProcDSParent_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE ProcAlgo ADD CONSTRAINT
ProcAlgo_Dataset_FK foreign key(Dataset) references ProcessedDataset(ID) on delete CASCADE
/
ALTER TABLE ProcAlgo ADD CONSTRAINT
ProcAlgo_Algorithm_FK foreign key(Algorithm) references AlgorithmConfig(ID) on delete CASCADE
/
ALTER TABLE ProcAlgo ADD CONSTRAINT
ProcAlgo_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE ProcAlgo ADD CONSTRAINT
ProcAlgo_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE Block ADD CONSTRAINT
Block_Dataset_FK foreign key(Dataset) references ProcessedDataset(ID) on delete CASCADE
/
ALTER TABLE Block ADD CONSTRAINT
Block_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE Block ADD CONSTRAINT
Block_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE Files ADD CONSTRAINT
Files_Dataset_FK foreign key(Dataset) references ProcessedDataset(ID) on delete CASCADE
/
ALTER TABLE Files ADD CONSTRAINT
Files_Block_FK foreign key(Block) references Block(ID) on delete CASCADE
/
ALTER TABLE Files ADD CONSTRAINT
Files_FileStatus_FK foreign key(FileStatus) references FileStatus(ID)
/
ALTER TABLE Files ADD CONSTRAINT
Files_FileType_FK foreign key(FileType) references FileType(ID)
/
ALTER TABLE Files ADD CONSTRAINT
Files_ValidationStatus_FK foreign key(ValidationStatus) references FileValidStatus(ID)
/
ALTER TABLE Files ADD CONSTRAINT
Files_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE Files ADD CONSTRAINT
Files_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE FileTier ADD CONSTRAINT
FileTier_Fileid_FK foreign key(Fileid) references Files(ID) on delete CASCADE
/
ALTER TABLE FileTier ADD CONSTRAINT
FileTier_DataTier_FK foreign key(DataTier) references DataTier(ID)
/
ALTER TABLE FileTier ADD CONSTRAINT
FileTier_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE FileTier ADD CONSTRAINT
FileTier_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE FileParentage ADD CONSTRAINT
FileParentage_ThisFile_FK foreign key(ThisFile) references Files(ID) on delete CASCADE
/
ALTER TABLE FileParentage ADD CONSTRAINT
FileParentage_ItsParent_FK foreign key(ItsParent) references Files(ID) on delete CASCADE
/
ALTER TABLE FileParentage ADD CONSTRAINT
FileParentage_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE FileParentage ADD CONSTRAINT
FileParentageLastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE FileRunLumi ADD CONSTRAINT
FileRunLumi_Fileid_FK foreign key(Fileid) references Files(ID) on delete CASCADE
/
ALTER TABLE FileRunLumi ADD CONSTRAINT
FileRunLumi_Lumi_FK foreign key(Lumi) references LumiSection(ID)
/
ALTER TABLE FileRunLumi ADD CONSTRAINT
FileRunLumi_Run_FK foreign key(Run) references Runs(ID)
/
ALTER TABLE FileRunLumi ADD CONSTRAINT
FileRunLumi_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE FileRunLumi ADD CONSTRAINT
FileRunLumi_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE FileAlgo ADD CONSTRAINT
FileAlgo_Fileid_FK foreign key(Fileid) references Files(ID) on delete CASCADE
/
ALTER TABLE FileAlgo ADD CONSTRAINT
FileAlgo_Algorithm_FK foreign key(Algorithm) references AlgorithmConfig(ID)
/
ALTER TABLE FileAlgo ADD CONSTRAINT
FileAlgo_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE FileAlgo ADD CONSTRAINT
FileAlgo_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE FileBranch ADD CONSTRAINT
FileBranch_Fileid_FK foreign key(Fileid) references Files(ID) on delete CASCADE
/
ALTER TABLE FileBranch ADD CONSTRAINT
FileBranch_Branch_FK foreign key(Branch) references Branch(ID)
/
ALTER TABLE FileBranch ADD CONSTRAINT
FileBranch_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE FileBranch ADD CONSTRAINT
FileBranch_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE AnalysisDSFileLumi ADD CONSTRAINT
AnalysisDSFileLumiAnalysisD_FK foreign key(AnalysisDataset) references AnalysisDataset(ID) on delete CASCADE
/
ALTER TABLE AnalysisDSFileLumi ADD CONSTRAINT
AnalysisDSFileLumi_Lumi_FK foreign key(Lumi) references LumiSection(ID)
/
ALTER TABLE AnalysisDSFileLumi ADD CONSTRAINT
AnalysisDSFileLumi_Fileid_FK foreign key(Fileid) references Files(ID)
/
ALTER TABLE AnalysisDSFileLumi ADD CONSTRAINT
AnalysisDSFileLumiCreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE AnalysisDSFileLumi ADD CONSTRAINT
AnalysisDSFileLumiLastModif_FK foreign key(LastModifiedBy) references Person(ID)
/
ALTER TABLE SEBlock ADD CONSTRAINT
SEBlock_SEID_FK foreign key(SEID) references StorageElement(ID)
/
ALTER TABLE SEBlock ADD CONSTRAINT
SEBlock_BlockID_FK foreign key(BlockID) references Block(ID)
/
ALTER TABLE SEBlock ADD CONSTRAINT
SEBlock_CreatedBy_FK foreign key(CreatedBy) references Person(ID)
/
ALTER TABLE SEBlock ADD CONSTRAINT
SEBlock_LastModifiedBy_FK foreign key(LastModifiedBy) references Person(ID)
/
-- === generated index statements ==============
PROMPT Creating indexes
create index ix_person_name on Person (Name);
create index ix_processeddataset_name on ProcessedDataset (Name);
create index ix_analysisdataset_annotation on AnalysisDataset (Annotation);
-- ====================================================
-- ============== SEQUENCES ===========================
PROMPT Creating sequences
create sequence seq_person ;
create sequence seq_role ;
create sequence seq_assignedrole ;
create sequence seq_physicsgroup ;
create sequence seq_schemaversion ;
create sequence seq_runs ;
create sequence seq_datatier ;
create sequence seq_lumisection ;
create sequence seq_branch ;
create sequence seq_timelog ;
create sequence seq_datatierorder ;
create sequence seq_appfamily ;
create sequence seq_appversion ;
create sequence seq_appexecutable ;
create sequence seq_queryableparameterset ;
create sequence seq_parameterbinding ;
create sequence seq_triggerpathdescription ;
create sequence seq_mcdescription ;
create sequence seq_otherdescription ;
create sequence seq_filestatus ;
create sequence seq_filetype ;
create sequence seq_filevalidstatus ;
create sequence seq_analysisdstype ;
create sequence seq_analysisdsstatus ;
create sequence seq_analysisdsdef ;
create sequence seq_storageelement ;
create sequence seq_procdsstatus ;
create sequence seq_primarydstype ;
create sequence seq_algorithmconfig ;
create sequence seq_primarydatasetdescription ;
create sequence seq_primarydataset ;
create sequence seq_processeddataset ;
create sequence seq_analysisdataset ;
create sequence seq_procdsruns ;
create sequence seq_procdstier ;
create sequence seq_procdsparent ;
create sequence seq_procalgo ;
create sequence seq_block ;
create sequence seq_files ;
create sequence seq_filetier ;
create sequence seq_fileparentage ;
create sequence seq_filerunlumi ;
create sequence seq_filealgo ;
create sequence seq_filebranch ;
create sequence seq_analysisdsfilelumi ;
create sequence seq_seblock ;
-- ============= AUTO INC Table.ID TRIGGERS ===========
PROMPT Creating auto inc triggers
-- ====================================================
-- AUTO INC TRIGGER FOR person.ID using SEQ seq_person
CREATE OR REPLACE TRIGGER person_TRIG before insert on person for each row begin if inserting then if :NEW.ID is null then select seq_person.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR role.ID using SEQ seq_role
CREATE OR REPLACE TRIGGER role_TRIG before insert on role for each row begin if inserting then if :NEW.ID is null then select seq_role.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR assignedrole.ID using SEQ seq_assignedrole
CREATE OR REPLACE TRIGGER assignedrole_TRIG before insert on assignedrole for each row begin if inserting then if :NEW.ID is null then select seq_assignedrole.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR physicsgroup.ID using SEQ seq_physicsgroup
CREATE OR REPLACE TRIGGER physicsgroup_TRIG before insert on physicsgroup for each row begin if inserting then if :NEW.ID is null then select seq_physicsgroup.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR schemaversion.ID using SEQ seq_schemaversion
CREATE OR REPLACE TRIGGER schemaversion_TRIG before insert on schemaversion for each row begin if inserting then if :NEW.ID is null then select seq_schemaversion.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR runs.ID using SEQ seq_runs
CREATE OR REPLACE TRIGGER runs_TRIG before insert on runs for each row begin if inserting then if :NEW.ID is null then select seq_runs.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR datatier.ID using SEQ seq_datatier
CREATE OR REPLACE TRIGGER datatier_TRIG before insert on datatier for each row begin if inserting then if :NEW.ID is null then select seq_datatier.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR lumisection.ID using SEQ seq_lumisection
CREATE OR REPLACE TRIGGER lumisection_TRIG before insert on lumisection for each row begin if inserting then if :NEW.ID is null then select seq_lumisection.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR branch.ID using SEQ seq_branch
CREATE OR REPLACE TRIGGER branch_TRIG before insert on branch for each row begin if inserting then if :NEW.ID is null then select seq_branch.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR timelog.ID using SEQ seq_timelog
CREATE OR REPLACE TRIGGER timelog_TRIG before insert on timelog for each row begin if inserting then if :NEW.ID is null then select seq_timelog.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR datatierorder.ID using SEQ seq_datatierorder
CREATE OR REPLACE TRIGGER datatierorder_TRIG before insert on datatierorder for each row begin if inserting then if :NEW.ID is null then select seq_datatierorder.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR appfamily.ID using SEQ seq_appfamily
CREATE OR REPLACE TRIGGER appfamily_TRIG before insert on appfamily for each row begin if inserting then if :NEW.ID is null then select seq_appfamily.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR appversion.ID using SEQ seq_appversion
CREATE OR REPLACE TRIGGER appversion_TRIG before insert on appversion for each row begin if inserting then if :NEW.ID is null then select seq_appversion.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR appexecutable.ID using SEQ seq_appexecutable
CREATE OR REPLACE TRIGGER appexecutable_TRIG before insert on appexecutable for each row begin if inserting then if :NEW.ID is null then select seq_appexecutable.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR queryableparameterset.ID using SEQ seq_queryableparameterset
CREATE OR REPLACE TRIGGER queryableparameterset_TRIG before insert on queryableparameterset for each row begin if inserting then if :NEW.ID is null then select seq_queryableparameterset.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR parameterbinding.ID using SEQ seq_parameterbinding
CREATE OR REPLACE TRIGGER parameterbinding_TRIG before insert on parameterbinding for each row begin if inserting then if :NEW.ID is null then select seq_parameterbinding.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR triggerpathdescription.ID using SEQ seq_triggerpathdescription
CREATE OR REPLACE TRIGGER triggerpathdescription_TRIG before insert on triggerpathdescription for each row begin if inserting then if :NEW.ID is null then select seq_triggerpathdescription.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR mcdescription.ID using SEQ seq_mcdescription
CREATE OR REPLACE TRIGGER mcdescription_TRIG before insert on mcdescription for each row begin if inserting then if :NEW.ID is null then select seq_mcdescription.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR otherdescription.ID using SEQ seq_otherdescription
CREATE OR REPLACE TRIGGER otherdescription_TRIG before insert on otherdescription for each row begin if inserting then if :NEW.ID is null then select seq_otherdescription.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR filestatus.ID using SEQ seq_filestatus
CREATE OR REPLACE TRIGGER filestatus_TRIG before insert on filestatus for each row begin if inserting then if :NEW.ID is null then select seq_filestatus.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR filetype.ID using SEQ seq_filetype
CREATE OR REPLACE TRIGGER filetype_TRIG before insert on filetype for each row begin if inserting then if :NEW.ID is null then select seq_filetype.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR filevalidstatus.ID using SEQ seq_filevalidstatus
CREATE OR REPLACE TRIGGER filevalidstatus_TRIG before insert on filevalidstatus for each row begin if inserting then if :NEW.ID is null then select seq_filevalidstatus.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR analysisdstype.ID using SEQ seq_analysisdstype
CREATE OR REPLACE TRIGGER analysisdstype_TRIG before insert on analysisdstype for each row begin if inserting then if :NEW.ID is null then select seq_analysisdstype.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR analysisdsstatus.ID using SEQ seq_analysisdsstatus
CREATE OR REPLACE TRIGGER analysisdsstatus_TRIG before insert on analysisdsstatus for each row begin if inserting then if :NEW.ID is null then select seq_analysisdsstatus.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR analysisdsdef.ID using SEQ seq_analysisdsdef
CREATE OR REPLACE TRIGGER analysisdsdef_TRIG before insert on analysisdsdef for each row begin if inserting then if :NEW.ID is null then select seq_analysisdsdef.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR storageelement.ID using SEQ seq_storageelement
CREATE OR REPLACE TRIGGER storageelement_TRIG before insert on storageelement for each row begin if inserting then if :NEW.ID is null then select seq_storageelement.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR procdsstatus.ID using SEQ seq_procdsstatus
CREATE OR REPLACE TRIGGER procdsstatus_TRIG before insert on procdsstatus for each row begin if inserting then if :NEW.ID is null then select seq_procdsstatus.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR primarydstype.ID using SEQ seq_primarydstype
CREATE OR REPLACE TRIGGER primarydstype_TRIG before insert on primarydstype for each row begin if inserting then if :NEW.ID is null then select seq_primarydstype.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR algorithmconfig.ID using SEQ seq_algorithmconfig
CREATE OR REPLACE TRIGGER algorithmconfig_TRIG before insert on algorithmconfig for each row begin if inserting then if :NEW.ID is null then select seq_algorithmconfig.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR primarydatasetdescription.ID using SEQ seq_primarydatasetdescription
CREATE OR REPLACE TRIGGER primarydatasetdescription_TRIG before insert on primarydatasetdescription for each row begin if inserting then if :NEW.ID is null then select seq_primarydatasetdescription.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR primarydataset.ID using SEQ seq_primarydataset
CREATE OR REPLACE TRIGGER primarydataset_TRIG before insert on primarydataset for each row begin if inserting then if :NEW.ID is null then select seq_primarydataset.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR processeddataset.ID using SEQ seq_processeddataset
CREATE OR REPLACE TRIGGER processeddataset_TRIG before insert on processeddataset for each row begin if inserting then if :NEW.ID is null then select seq_processeddataset.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR analysisdataset.ID using SEQ seq_analysisdataset
CREATE OR REPLACE TRIGGER analysisdataset_TRIG before insert on analysisdataset for each row begin if inserting then if :NEW.ID is null then select seq_analysisdataset.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR procdsruns.ID using SEQ seq_procdsruns
CREATE OR REPLACE TRIGGER procdsruns_TRIG before insert on procdsruns for each row begin if inserting then if :NEW.ID is null then select seq_procdsruns.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR procdstier.ID using SEQ seq_procdstier
CREATE OR REPLACE TRIGGER procdstier_TRIG before insert on procdstier for each row begin if inserting then if :NEW.ID is null then select seq_procdstier.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR procdsparent.ID using SEQ seq_procdsparent
CREATE OR REPLACE TRIGGER procdsparent_TRIG before insert on procdsparent for each row begin if inserting then if :NEW.ID is null then select seq_procdsparent.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR procalgo.ID using SEQ seq_procalgo
CREATE OR REPLACE TRIGGER procalgo_TRIG before insert on procalgo for each row begin if inserting then if :NEW.ID is null then select seq_procalgo.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR block.ID using SEQ seq_block
CREATE OR REPLACE TRIGGER block_TRIG before insert on block for each row begin if inserting then if :NEW.ID is null then select seq_block.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR files.ID using SEQ seq_files
CREATE OR REPLACE TRIGGER files_TRIG before insert on files for each row begin if inserting then if :NEW.ID is null then select seq_files.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR filetier.ID using SEQ seq_filetier
CREATE OR REPLACE TRIGGER filetier_TRIG before insert on filetier for each row begin if inserting then if :NEW.ID is null then select seq_filetier.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR fileparentage.ID using SEQ seq_fileparentage
CREATE OR REPLACE TRIGGER fileparentage_TRIG before insert on fileparentage for each row begin if inserting then if :NEW.ID is null then select seq_fileparentage.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR filerunlumi.ID using SEQ seq_filerunlumi
CREATE OR REPLACE TRIGGER filerunlumi_TRIG before insert on filerunlumi for each row begin if inserting then if :NEW.ID is null then select seq_filerunlumi.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR filealgo.ID using SEQ seq_filealgo
CREATE OR REPLACE TRIGGER filealgo_TRIG before insert on filealgo for each row begin if inserting then if :NEW.ID is null then select seq_filealgo.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR filebranch.ID using SEQ seq_filebranch
CREATE OR REPLACE TRIGGER filebranch_TRIG before insert on filebranch for each row begin if inserting then if :NEW.ID is null then select seq_filebranch.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR analysisdsfilelumi.ID using SEQ seq_analysisdsfilelumi
CREATE OR REPLACE TRIGGER analysisdsfilelumi_TRIG before insert on analysisdsfilelumi for each row begin if inserting then if :NEW.ID is null then select seq_analysisdsfilelumi.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ====================================================
-- AUTO INC TRIGGER FOR seblock.ID using SEQ seq_seblock
CREATE OR REPLACE TRIGGER seblock_TRIG before insert on seblock for each row begin if inserting then if :NEW.ID is null then select seq_seblock.nextval into :NEW.ID from dual; end if; end if; end;
/
-- ========= TIME STAMP TRIGGERS =======================
PROMPT Creating timestamp triggers
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSperson BEFORE INSERT OR UPDATE ON person
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSrole BEFORE INSERT OR UPDATE ON role
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSassignedrole BEFORE INSERT OR UPDATE ON assignedrole
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSphysicsgroup BEFORE INSERT OR UPDATE ON physicsgroup
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSschemaversion BEFORE INSERT OR UPDATE ON schemaversion
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSruns BEFORE INSERT OR UPDATE ON runs
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSdatatier BEFORE INSERT OR UPDATE ON datatier
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSlumisection BEFORE INSERT OR UPDATE ON lumisection
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSbranch BEFORE INSERT OR UPDATE ON branch
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTStimelog BEFORE INSERT OR UPDATE ON timelog
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSdatatierorder BEFORE INSERT OR UPDATE ON datatierorder
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSappfamily BEFORE INSERT OR UPDATE ON appfamily
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSappversion BEFORE INSERT OR UPDATE ON appversion
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSappexecutable BEFORE INSERT OR UPDATE ON appexecutable
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSqueryableparameterset BEFORE INSERT OR UPDATE ON queryableparameterset
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSparameterbinding BEFORE INSERT OR UPDATE ON parameterbinding
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTStriggerpathdescription BEFORE INSERT OR UPDATE ON triggerpathdescription
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSmcdescription BEFORE INSERT OR UPDATE ON mcdescription
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSotherdescription BEFORE INSERT OR UPDATE ON otherdescription
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfilestatus BEFORE INSERT OR UPDATE ON filestatus
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfiletype BEFORE INSERT OR UPDATE ON filetype
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfilevalidstatus BEFORE INSERT OR UPDATE ON filevalidstatus
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSanalysisdstype BEFORE INSERT OR UPDATE ON analysisdstype
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSanalysisdsstatus BEFORE INSERT OR UPDATE ON analysisdsstatus
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSanalysisdsdef BEFORE INSERT OR UPDATE ON analysisdsdef
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSstorageelement BEFORE INSERT OR UPDATE ON storageelement
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprocdsstatus BEFORE INSERT OR UPDATE ON procdsstatus
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprimarydstype BEFORE INSERT OR UPDATE ON primarydstype
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSalgorithmconfig BEFORE INSERT OR UPDATE ON algorithmconfig
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprimarydatasetdescription BEFORE INSERT OR UPDATE ON primarydatasetdescription
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprimarydataset BEFORE INSERT OR UPDATE ON primarydataset
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprocesseddataset BEFORE INSERT OR UPDATE ON processeddataset
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSanalysisdataset BEFORE INSERT OR UPDATE ON analysisdataset
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprocdsruns BEFORE INSERT OR UPDATE ON procdsruns
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprocdstier BEFORE INSERT OR UPDATE ON procdstier
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprocdsparent BEFORE INSERT OR UPDATE ON procdsparent
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprocalgo BEFORE INSERT OR UPDATE ON procalgo
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSblock BEFORE INSERT OR UPDATE ON block
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfiles BEFORE INSERT OR UPDATE ON files
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfiletier BEFORE INSERT OR UPDATE ON filetier
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfileparentage BEFORE INSERT OR UPDATE ON fileparentage
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfilerunlumi BEFORE INSERT OR UPDATE ON filerunlumi
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfilealgo BEFORE INSERT OR UPDATE ON filealgo
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfilebranch BEFORE INSERT OR UPDATE ON filebranch
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSanalysisdsfilelumi BEFORE INSERT OR UPDATE ON analysisdsfilelumi
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSseblock BEFORE INSERT OR UPDATE ON seblock
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSperson BEFORE INSERT OR UPDATE ON person
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSrole BEFORE INSERT OR UPDATE ON role
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSassignedrole BEFORE INSERT OR UPDATE ON assignedrole
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSphysicsgroup BEFORE INSERT OR UPDATE ON physicsgroup
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSschemaversion BEFORE INSERT OR UPDATE ON schemaversion
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSruns BEFORE INSERT OR UPDATE ON runs
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSdatatier BEFORE INSERT OR UPDATE ON datatier
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSlumisection BEFORE INSERT OR UPDATE ON lumisection
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSbranch BEFORE INSERT OR UPDATE ON branch
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTStimelog BEFORE INSERT OR UPDATE ON timelog
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSdatatierorder BEFORE INSERT OR UPDATE ON datatierorder
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSappfamily BEFORE INSERT OR UPDATE ON appfamily
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSappversion BEFORE INSERT OR UPDATE ON appversion
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSappexecutable BEFORE INSERT OR UPDATE ON appexecutable
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSqueryableparameterset BEFORE INSERT OR UPDATE ON queryableparameterset
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSparameterbinding BEFORE INSERT OR UPDATE ON parameterbinding
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTStriggerpathdescription BEFORE INSERT OR UPDATE ON triggerpathdescription
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSmcdescription BEFORE INSERT OR UPDATE ON mcdescription
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSotherdescription BEFORE INSERT OR UPDATE ON otherdescription
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfilestatus BEFORE INSERT OR UPDATE ON filestatus
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfiletype BEFORE INSERT OR UPDATE ON filetype
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfilevalidstatus BEFORE INSERT OR UPDATE ON filevalidstatus
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSanalysisdstype BEFORE INSERT OR UPDATE ON analysisdstype
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSanalysisdsstatus BEFORE INSERT OR UPDATE ON analysisdsstatus
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSanalysisdsdef BEFORE INSERT OR UPDATE ON analysisdsdef
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSstorageelement BEFORE INSERT OR UPDATE ON storageelement
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprocdsstatus BEFORE INSERT OR UPDATE ON procdsstatus
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprimarydstype BEFORE INSERT OR UPDATE ON primarydstype
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSalgorithmconfig BEFORE INSERT OR UPDATE ON algorithmconfig
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprimarydatasetdescription BEFORE INSERT OR UPDATE ON primarydatasetdescription
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprimarydataset BEFORE INSERT OR UPDATE ON primarydataset
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprocesseddataset BEFORE INSERT OR UPDATE ON processeddataset
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSanalysisdataset BEFORE INSERT OR UPDATE ON analysisdataset
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprocdsruns BEFORE INSERT OR UPDATE ON procdsruns
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprocdstier BEFORE INSERT OR UPDATE ON procdstier
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprocdsparent BEFORE INSERT OR UPDATE ON procdsparent
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSprocalgo BEFORE INSERT OR UPDATE ON procalgo
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSblock BEFORE INSERT OR UPDATE ON block
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfiles BEFORE INSERT OR UPDATE ON files
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfiletier BEFORE INSERT OR UPDATE ON filetier
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfileparentage BEFORE INSERT OR UPDATE ON fileparentage
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfilerunlumi BEFORE INSERT OR UPDATE ON filerunlumi
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfilealgo BEFORE INSERT OR UPDATE ON filealgo
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSfilebranch BEFORE INSERT OR UPDATE ON filebranch
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSanalysisdsfilelumi BEFORE INSERT OR UPDATE ON analysisdsfilelumi
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- ====================================================
-- LastModified Time Stamp Trigger
CREATE OR REPLACE TRIGGER TRTSseblock BEFORE INSERT OR UPDATE ON seblock
FOR EACH ROW
BEGIN
:NEW.LASTMODIFICATIONDATE := SYSTIMESTAMP;
END;
/
-- Set the Schema Version --
INSERT INTO SchemaVersion(SCHEMAVERSION, CREATIONDATE) values ('v00_00_06', SYSTIMESTAMP);
-- Pre Fill some information into tables ---------
INSERT INTO AnalysisDSStatus (Status) VALUES ('NEW');
INSERT INTO FileStatus (Status) VALUES ('VALID');
INSERT INTO FileStatus (Status) VALUES ('INVALID');
INSERT INTO FileStatus (Status) VALUES ('MERGED');
INSERT INTO FileStatus (Status) VALUES ('PROMOTED');
INSERT INTO ProcDSStatus (Status) VALUES ('VALID');
INSERT INTO ProcDSStatus (Status) VALUES ('INVALID');
INSERT INTO ProcDSStatus (Status) VALUES ('PROMOTED');
INSERT INTO FileType(Type) VALUES ('EVD') ;
INSERT INTO AnalysisDSType(Type) VALUES ('TEST');
INSERT INTO PrimaryDSType (Type) VALUES ('VALID');
INSERT INTO Person(Name, DistinguishedName, ContactInfo, CreationDate) Values ('DBSUSER', 'NODN', 'WH', SYSTIMESTAMP);
INSERT INTO FileValidStatus (Status, CreationDate) VALUES ('VALID', SYSTIMESTAMP);
INSERT INTO FileValidStatus (Status, CreationDate) VALUES ('INVALID', SYSTIMESTAMP);
-- INSERT INTO DataTierOrder(DataTierOrder, Description) VALUES ("GEN", "Generator output, four vectors and vertices in vacuum. For example, pythia events HepMCProduct");
-- INSERT INTO DataTierOrder(DataTierOrder, Description) VALUES ("SIM", "Simulated output from GEANT/OSCAR processing of GEN data PSimHitContainer, EmbdSimVertexContainer, PCaloHitContainer, CrossingFrame");
-- INSERT INTO DataTierOrder(DataTierOrder, Description) VALUES ("DIGI", "Digitixed output from the various Digitizers that act on the SIM data EBDigiCollection, HBHEDigiCollection, HFDigiCollection, StripDigiCollection, CSCStripDigiCollection, CSCWireDigiCollection");
-- INSERT INTO DataTierOrder(DataTierOrder, Description) VALUES ("RECO", "Reconstructed products produced from either real data or DIGI data TBA");
-- INSERT INTO DataTierOrder(DataTierOrder, Description) VALUES ("AOD", "Analysis Object Data products TBA");
-- INSERT INTO DataTierOrder(DataTierOrder, Description) VALUES ("RAW", "Raw detector output from the HLT system TBA");
-- INSERT INTO DataTierOrder(DataTierOrder, Description) VALUES ("ALCARECO", "IS ITS A TIER ? TBA");
-- INSERT INTO DataTierOrder(DataTierOrder, Description) VALUES ("USER", "Things that users make afte AOD. The analysis equivalent of the kitchen sink TBA");
-- INSERT INTO DataTierOrder(DataTierOrder, Description) VALUES ("GEN-SIM", "Generator output, four vectors and vertices in vacuum. For example, pythia events HepMCProduct");
-- INSERT INTO DataTierOrder(DataTierOrder, Description) VALUES ("GEN-SIM-DIGI", "Generator output, four vectors and vertices in vacuum. For example, pythia events HepMCProduct");
-- INSERT INTO DataTierOrder(DataTierOrder, Description) VALUES ("GEN-SIM-DIGI-RECO", "Generator output, four vectors and vertices in vacuum. For example, pythia events HepMCProduct");
INSERT INTO DataTier (Name, CreationDate) VALUES ('GEN', SYSTIMESTAMP);
INSERT INTO DataTier (Name, CreationDate) VALUES ('SIM', SYSTIMESTAMP);
INSERT INTO DataTier (Name, CreationDate) VALUES ('DIGI', SYSTIMESTAMP);
INSERT INTO DataTier (Name, CreationDate) VALUES ('RECO', SYSTIMESTAMP);
INSERT INTO DataTier (Name, CreationDate) VALUES ('ALCARECO', SYSTIMESTAMP);
INSERT INTO DataTier (Name, CreationDate) VALUES ('USER', SYSTIMESTAMP);
commit;
|
--TEST: insert ... select false query
CREATE TABLE t1 (id INT, aaa INT);
CREATE TABLE t2 (id INT, bbb INT);
insert into t1 values(1, 1), (2, 2);
insert into t2 values(1, 1), (2, 3);
INSERT INTO t1 (id)
SELECT t2.id
FROM t2
WHERE
NOT EXISTS
(SELECT NULL
FROM t1
WHERE t1.aaa = t2.bbb);
select * from t1 order by id desc;
drop table t1, t2;
create table t (a int, b int, c int);
create table s (a int, b int);
insert into s values (0,1);
insert into t (a) select a from s where 1 = 2;
insert into t (a,b) select * from s where 1 = 2;
insert into t (a) select a from s where s.a = (select count (*) from t where 1 = 2);
select * from t;
drop s;
drop t;
|
DO
$$
BEGIN
IF NOT EXISTS (
SELECT *
FROM pg_catalog.pg_roles
WHERE rolname = 'pgq_reader') THEN
CREATE ROLE pgq_reader;
END IF;
IF NOT EXISTS (
SELECT *
FROM pg_catalog.pg_roles
WHERE rolname = 'pgq_writer') THEN
CREATE ROLE pgq_writer;
END IF;
IF NOT EXISTS (
SELECT *
FROM pg_catalog.pg_roles
WHERE rolname = 'pgq_admin') THEN
CREATE ROLE pgq_admin;
END IF;
END
$$;
|
-- phpMyAdmin SQL Dump
-- version 4.6.6
-- https://www.phpmyadmin.net/
--
-- Host: localhost
-- Generation Time: Feb 29, 2020 at 11:14 AM
-- Server version: 5.7.17-log
-- PHP Version: 5.6.30
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `flower2`
--
-- --------------------------------------------------------
--
-- Table structure for table `products`
--
CREATE TABLE `products` (
`p_id` varchar(5) NOT NULL,
`p_name` varchar(30) NOT NULL,
`p_description` varchar(300) NOT NULL,
`p_category` varchar(30) NOT NULL,
`p_image_id` varchar(500) NOT NULL,
`p_price` int(11) NOT NULL,
`p_available` tinyint(1) NOT NULL,
`p_stock` int(11) NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
--
-- Dumping data for table `products`
--
INSERT INTO `products` (`p_id`, `p_name`, `p_description`, `p_category`, `p_image_id`, `p_price`, `p_available`, `p_stock`) VALUES
('1', 'ดอกเข็ม', 'เป็นพรรณไม้พุ่มขนาดเล็กถึงขนาดย่อม ลำต้นสูงประมาณ 3–5 ฟุต จะแตกกิ่งก้านสาขาออกแผ่เป็นพุ่ม ลำต้นเป็นต้นเดี่ยวหรือแตกกอแผ่สาขาออกไปเป็นต้นต้นเล็กกลมขนาดเส้นรอบวงประมาณ 4-10 เซนติเมตรลำต้นเรียบสีน้ำตาลกิ่งยอดมีสีเขียวแตกกิ่งตรงขึ้นด้านบน', '1', '1', 30, 1, 100),
('2', 'ดอกเดซี่', 'เป็นไม้ล้มลุกปีเดียว สูง 15-30 เซนติเมตร ทรงพุ่มแผ่ไปกับผิวดิน ขอบใบหยักลึกสุดแบบขนนก เป็นเส้นฝอยละเอียดเรียวเล็ก สีเขียว ใบมักมีกลิ่นหอม ดอก เป็นช่อแบบช่อกระจุก ดอกสีเหลือง ออกตามปลายกิ่ง ดอกวงนอกรูปขอบขนาน ปลายมน สีเหลือง ดอกวงในรูปหลอด สีเหลืองอมส้ม อยู่เป็นกระจุกกลางดอก ออกดอกตลอดปี', '1', '2', 80, 1, 100),
('3', 'ดอกพิทูเนีย', 'ดอกพิทูเนีย จัดเป็นไม้ประดับดอกต่างประเทศที่นิยมปลูกมากชนิดหนึ่ง เนื่องจาก ดอกมีขนาดใหญ่ กลีบดอกมีหลายสี และมีสีสดใส ลำต้นมีขนาดเล็ก สามารถปลูก และเติบโตได้ดีทั้งในกระถาง และปลูกในแปลงจัดสวน นอกจากนั้น ยังออกดอกได้ต่อเนื่องหลายปี', '1', '3', 60, 1, 100),
('4', 'ดอกยิปโซ', 'ดอกยิปโซ เป็นดอกไม้เมืองหนาวมีลักษณะฝอยๆ ดอกเล็กๆหลากหลายสี ดอกยิปโซแม้แห้งแล้วก็ยังคงสภาพเป็นดอกที่สวยงามอยู่ได้คงทน ความหมายของดอกยิปโซสื่อถึงความ บริสุทธุ์ จริงใจ อ่อนหวาน และรักแรกพบ เหมาะสำหรับให้กับคนที่เราตกหลุมรักตั้งแต่แรกเจอ จึงได้ชื่อว่า ดอกไม้แห่งรักแรก', '1', '4', 80, 1, 100),
('5', 'กล้วยไม้ดิน', 'เป็นกล้วยไม้ดิน เติบโตใต้ต้นไม้ใหญ่ในป่าหนาว กล้วยไม้มีเหง้าซึ่งเหง้าจะพัฒนาเป็นลำลูกกล้วย และมีใบประมาณ 3-4 ใบ จะออกดอกในช่วงฤดูใบไม้ผลิ ช่อดอกมีความยาวประมาณ 10-20 ซม กล้วยไม้ชนิดนี้จะทิ้งใบและหยุดการเจริญเติบโตเพื่อพักตัว และจะเจริญเติบโตต่อในฤดูใบไม้ผลิ', '1', '5', 100, 1, 100),
('6', 'บานบุรี', 'จัดเป็นพรรณไม้พุ่มกึ่งเลื้อย หรือเป็นไม้เถาอาศัยต้นไม้อื่นเพื่อพยุงตัวขึ้นไป ลำต้นหรือเถามีลักษณะกลมเรียบและเป็นสีน้ำตาลทุกส่วนของต้นมียางสีขาวข้น ปลูกเลี้ยงได้ง่าย เติบโตเร็ว ทนความแล้งและดินเค็มได้ดี มักขึ้นกลางแจ้ง ชอบแสงแดดแบบเต็มวัน แต่อยู่ได้ทั้งในที่ร่มรำไรและที่มีแสงแดดจัด ', '1', '6', 70, 1, 100),
('7', 'ดอกผีเสื้อ', 'ลักษณะโดยทั่วไป ขึ้นเป็นพุ่มใบมีสีเขียวแก่ ลักษณะใบยาวปลายเรียวแหลม ใบจะออกเป็นคู่แบบสลับ โดยใบจะหุ้มรอบข้อทำให้ส่วนข้อมีลักษณะบวมโต ดอกมีทั้งชนิดดอกซ้อนและดอกชั้นเดียว ปลายกลีบดอกจะมีลักษณะจักๆ คล้ายฟันปลาหรือ ฟันเลื่อย สีของดอกมีหลายสี คือ ขาว ชมพู แดง แดงอมม่วง และอาจมีสองสีในดอกเดียวกันก็ได้', '1', '7', 60, 1, 100),
('8', 'ดอกเบญจมาศ', 'เป็นไม้ล้มลุกลำต้นทรงกระบอก แตกกิ่งก้านไม่มากใบเดี่ยว เรียงสลับ รูปใบหอกหรือรูปไข่ ปลายแหลม ออกดอกเป็นช่อกระจุกแน่น บริเวณซอกใบหรือปลายกิ่ง ดอกหลายสี เช่น ดอกสีเหลือง ดอกสีชมพู ดอกสีขาว กลีบเลี้ยงสีเขียว เรียงซ้อนกันหลายชั้น กลีบดอกมี 2 ชั้น ชั้นนอกรูปไข่หรือรูปรี ซ้อนกันหลายชั้น ชั้นในขนาดเล็ก ', '1', '8', 100, 1, 100),
('9', 'ดอกพุดพิชญา', '', '1', '9', 120, 1, 100),
('10', 'กล้วยไม้ ', 'เป็นพืชใบเลี้ยงเดี่ยว มีลักษณะการเจริญเติบโตแบบซิมโพเดียล คือ เป็นกล้วยไม้ที่มีลำลูกกล้วยเมื่อลำต้นเจริญเติบโตเต็มที่แล้วจะแตกหน่อเป็นลำต้นใหม่และเป็นกอ ดอกช่อออกตามซอกใบ ดอกเรียงสลับ 6-8 คู่', '1', '10', 150, 1, 100),
('11', 'เฟิร์นข้าหลวงหลังลาย', 'เป็นลักษณะของกาฝากใบของเฟิร์นข้าหลวง จะมีสีเขียวอ่อน ขอบใบหยักเป็นคลื่น ก้านใบจะมีสีน้ำตาลเข้ม การเรียงตัวของใบจะเรียงตัวแบบเกลียวคล้ายดอกกุหลาบ ใบที่เกิดใหม่จะอ่อนและเปราะหักได้ง่ายแต่พอเจริญเติบโตเต็มที่แล้วจะมีความเหนียวและหนามาก', '1', '11', 190, 1, 100),
('12', 'ต้นไทรใบด่าง', 'ปลูกเป็นไม้ประธานในสวน ริมทางเดิน ในสวนสาธารณะ หรือปลูกลงกระถางก็ได้ ทนทานต่อสภาพแวดล้อมต่างๆ ได้ดี แต่ถ้าปลูกในที่แห้งแล้ง ใบจะร่วงมาก ต้นที่ได้จากการปักชำกิ่งหรือเสียบยอดจะแตกพุ่มใหม่ได้แน่น ไทรย้อยใบแหลมมีประสิทธิภาพสูงในการดูดซับมลพิษในอากาศ โดยเฉพาะสารพิษประเภทฟอร์มาลดีไฮด์', '1', '12', 140, 1, 100),
('13', 'ต้นไทรโกสน', 'เป็นไม้ใบประดับที่นิยมปลูกชนิดหนึ่ง เนื่องจากใบมีลวดลายแปลกตา และสีสันสวยงาม มีลำต้น และทรงพุ่มขนาดเล็ก มีใบดก เติบโตได้ดีในที่แจ้ง ทนต่อต่อสภาพแวดล้อมต่างๆได้ดี และไม่ต้องดูแลพิถีพิถันมาก', '1', '13', 130, 1, 100),
('14', 'ต้นเฟิร์นใบมะขาม', 'เป็นไม้คลุมดิน สูง 10-20 เซนติเมตร ชอบแสงปานกลาง ชอบความชื้นปานกลางชอบดินที่มีอินทรีย์วัตถุสูง ลำต้นมีเหง้าและไหลเลื้อย และงอกเป็นไม้ใหม่ได้ตลอดเวลา ลักษณะคล้ายใบมะขาม จัดปรกขอบภาชนะด้านหน้าหรือส่วนอื่นๆแล้วแต่ความสูง ขยายพันธุ์ด้วยการแยกไหล หรือหน่อใบประกอบแบบขนนก ', '2', '14', 160, 1, 100),
('15', 'ต้นสนไทรเงิน', 'เป็นต้นไม้ที่สูงได้มากกว่า 4 เมตร. ทรงพุ่มแผ่กว้างเป็นแผง ประมาณ 2 เมตร จึงต้องมีการตัดแต่งอยู่เสมอทั้งทรงพุ่มและความสูง และด้วยทรงพุ่มที่สวยงาม จึงนิยมนำมาปลูกเป็นไม้ประธานของสวน ส่วนใหญ่แล้วมักจะจับกลุ่มๆ กลุ่มละ 3-5 ต้น ใบสีเขียวเข้ม แผ่ออกลักษณะเป็นแผงกว้าง รูปทรงดูสง่างาม', '2', '15', 150, 1, 100),
('16', 'ต้นสนลิ้นมังกร', 'มีลักษณะรูปทรงพีระมิดความสูง 3-12 เมตร ลำต้นสีน้ำตาลเข้มแดงเล็กน้อย ใบสีเขียวเข้ม ไม่ผลัดใบ ขึ้นได้ดีในดินทั่วไป ความชื้นปานกลาง ชอบแสงเต็มวัน นิยมปลูกเป็นไม้ประธานในการจัดสวน นิยมปลูกเป็นกลุ่ม 3 หรือ 5 ต้น ปลูกเป็นแนวถนน การดูแลไม่ควรรดน้ำทรงพุ่มเพราะจะแตกทรงพุ่มไม่สวย', '2', '16', 170, 1, 100),
('17', 'ต้นมอนสเตอร่าด่าง', 'เป็นไม้ประดับที่มีใบสวยงามและเป็นไม้มงคล มีสีสันที่หลากหลายแปลกตาและเป็นเอกลักษณ์ มอนสเตอร่า ช่วยกำจัดสารพวกฟอร์มาลดีไฮด์ (Formaldehyde หรือ CH2O เป็นก็าซไม่มีสีจัดเป็นพิษที่ปนเปื้อนในอากาศและเป็นอันตรายต่อสุขภาพของมนุษย์ ทั้งในระยะสั้นและระยะยาว) จึงปลูกในห้องนอน ห้องนั่งเล่นได้', '2', '17', 150, 1, 100),
('18', 'ต้นเกล็ดทับทิบ', 'เกล็ดทับทิม เป็นไม้พุ่ม ขนาดเล็กค่อนข้างเตี้ย อายุหลายปี ลำต้นสีแดงอ่อนจนถึงสีแดงเข้ม มีขนสั้นปกคลุม แตกกิ่งก้านมาก ดอกเป็นช่อแบบช่อเชิงลด ออกตามซอกใบบริเวณปลายกิ่ง ดอกสีขาว มีขนาดเล็ก', '2', '18', 60, 2, 100),
('19', 'ต้นอโกลนีมาอัญมณีแดง', 'เป็นไม้ประดับที่มีความสวยงามที่ใบ ได้ชื่อว่าเป็นราชาแห่งไม้ประดับ สามารถวางประดับได้ทั้งในและนอกอาคาร เป็นลำดับพืชที่มีมากกว่า 40 ชนิด ปัจจุบันมีการปรับปรุงพันธุ์เพื่อให้มีสีสันสวยงาม นิยมเพาะเลี้ยงเพื่อความสวยงามและจัดเป็นไม้มงคลใช้ใบประกอบการจัดดอกไม้ ได้รับความนิยมจากตลาดทั้งในและต่างประเทศ', '2', '19', 100, 1, 100),
('20', 'ต้นคริสติน่า', 'ลักษณะทั่วไปของไม้ชนิดนี้ เป็นไม้ทรงพุ่มขนาดกลาง ชอบอยู่กลางแจ้งเมื่อโตเต็มที่สามารถสูงได้ 9-10 เมตร ใบเดี่ยวปลายใบเรียวแหลม เวลาใบอ่อนแตกออกมาใหม่จะมีสีแดงเป็นมันสวยงามมาก เป็นพันธ์ไม้ที่ชอบแดด', '2', '20', 130, 1, 100),
('21', 'กระถางซีเมนต์คางหมู', 'ขนาด50*100*50', '2', '21', 350, 1, 100),
('22', 'กระถางดินเผาแบบมีลาย', 'ขนาด20*60*20', '2', '22', 50, 1, 100),
('23', 'กระถางซีเมนต์คางหมูมีลาย', 'ขนาด50*100*50', '2', '23', 50, 1, 100),
('24', 'กระถางดินเผาทรงกลม', 'ขนาด20*60*20', '2', '24', 50, 1, 100),
('25', 'กระถางซีเมนต์คางหมูแบบสี', 'ขนาด50*100*50', '2', '25', 50, 1, 100),
('26', 'ดินปลูกถุงขาว', 'ดินผสมปุ๋ยคอก ปุ๋ยชีวภาพ แกลบ ขุยมะพร้าว มะพร้าวสับ สำหรับปลูกต้นไม้ทุกประเภท ทั้งไม้ดอก ไม้ประดับ ไม้กระถาง', '2', '26', 25, 1, 100),
('27', 'ดินปลูกถุงสีน้ำเงิน', 'ดินชีวภาพพร้อมปลูก', '2', '27', 15, 1, 100);
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`u_name` varchar(300) NOT NULL,
`u_id` varchar(300) NOT NULL,
`u_password` varchar(300) NOT NULL,
`u_phone` varchar(300) NOT NULL,
`u_address` varchar(300) NOT NULL,
`u_pincode` varchar(300) NOT NULL,
`u_verified` tinyint(1) NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
--
-- Dumping data for table `users`
--
INSERT INTO `users` (`u_name`, `u_id`, `u_password`, `u_phone`, `u_address`, `u_pincode`, `u_verified`) VALUES
('มด', '1234', '1234', '000000000', '12321', '99999', 1);
--
-- Indexes for dumped tables
--
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`u_id`);
/*!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>linuxdict/pd2pg<filename>examples/team-detail.sql
-- Compute the number of off-hours incidents that occur off-hours
-- (Beijing time) per service over the last 28 days.
with timezoned_incidents as (
select
incidents.id,
incidents.service_id,
incidents.created_at at time zone 'Asia/Shanghai' as local_created_at
from
incidents
where
incidents.created_at > now()-'28 days'::interval
)
select
services.name as service,
count(timezoned_incidents.id) as incidents
from
timezoned_incidents,
services
where
-- Add filter for different Team/Service services.name in ( 'aiops' ) and
timezoned_incidents.service_id = services.id and
-- On-hours = Monday through Friday, 9:00a thorugh 6:00p.
not (extract(dow from local_created_at) >= 1 and
extract(dow from local_created_at) <= 5 and
extract(hour from local_created_at) >= 9 and
extract(hour from local_created_at) <= 17)
group by
service
order by
incidents desc
;
|
# https://www.mssqltips.com/sqlservertip/4606/generate-tsql-scripts-for-all-sql-server-databases-and-all-objects-using-powershell/
$date_ = (date -f yyyyMMdd)
$ServerName = ".\sql2017" #If you have a named instance, you should put the name.
$path = "g:\DbScriptOut"
[System.Reflection.Assembly]::LoadWithPartialName('Microsoft.SqlServer.SMO')
$serverInstance = New-Object ('Microsoft.SqlServer.Management.Smo.Server') $ServerName
$IncludeTypes = @("Tables","StoredProcedures","Views","UserDefinedFunctions", "Triggers") #object you want do backup.
$ExcludeSchemas = @("sys","Information_Schema")
$so = new-object ('Microsoft.SqlServer.Management.Smo.ScriptingOptions')
$dbs=$serverInstance.Databases['SQLDBATools'] #you can change this variable for a query for filter yours databases.
foreach ($db in $dbs)
{
$dbname = "$db".replace("[","").replace("]","")
$dbpath = "$path"+ "\"+"$dbname" + "\"
if ( !(Test-Path $dbpath))
{$null=new-item -type directory -name "$dbname"-path "$path"}
foreach ($Type in $IncludeTypes)
{
$objpath = "$dbpath" + "$Type" + "\"
if ( !(Test-Path $objpath))
{$null=new-item -type directory -name "$Type"-path "$dbpath"}
foreach ($objs in $db.$Type)
{
If ($ExcludeSchemas -notcontains $objs.Schema )
{
$ObjName = "$objs".replace("[","").replace("]","")
$OutFile = "$objpath" + "$ObjName" + ".sql"
$objs.Script($so)+"GO" | out-File $OutFile
}
}
}
}
|
<gh_stars>0
create or replace function teste_cursor
return int
is
cursor emp2 is select est.URI ,
est.CNPJ ,
est.RAZAO_SOCIAL ,
est.NOME_FANTASIA ,
est.URI_PORTE ,
est.EMAIL ,
est.CAPITAL_SOCIAL ,
est.URI_E_MATRIZ_OU_FILIAL ,
est.URI_PRINCIPAL_ATIV_ECONOMICA ,
est.DATA_INICIO_ATIV ,
est.URI_ENDERECO ,
est.TELEFONE1 ,
est.TELEFONE2 ,
est.FAX ,
est.URI_SITUACAO from rfb_estabelecimento est order by est.cnpj;
uri RFB_ESTABELECIMENTO.uri%TYPE;
cnpj RFB_ESTABELECIMENTO.cnpj%TYPE;
razao_social rfb_estabelecimento.razao_social%TYPE;
nome_fantasia rfb_estabelecimento.nome_fantasia%TYPE;
porte rfb_estabelecimento.uri_porte%type;
email rfb_estabelecimento.email%type;
capital_social rfb_estabelecimento.capital_social%TYPE;
matriz_filial rfb_estabelecimento.uri_e_matriz_ou_filial%type;
cnae rfb_estabelecimento.uri_principal_ativ_economica%type;
data_inicio rfb_estabelecimento.data_inicio_ativ%type;
endereco rfb_estabelecimento.uri_endereco%type;
tel1 rfb_estabelecimento.telefone1%type;
tel2 rfb_estabelecimento.telefone2%type;
fax rfb_estabelecimento.fax%type;
situacao rfb_estabelecimento.uri_situacao%type;
begin
--open emp;
sys.DBMS_OUTPUT.PUT_LINE('inicio cursor teste');
open emp2;
loop
FETCH emp2 into uri, cnpj, razao_social, nome_fantasia, porte, email, capital_social, matriz_filial, cnae, data_inicio, endereco, tel1, tel2, fax, situacao;
exit when emp2%NOTFOUND;
if emp2%found then
sys.DBMS_OUTPUT.put_line('uri: '||uri||' cnpj: '||cnpj||' razao_social: '||razao_social||' capital_social: '||capital_social);
end if;
--contador:=contador-1;
--exit when contador = 0;
end loop;
return 13;
end;
/
declare
--emp SYS_REFCURSOR;
cursor emp2 is select * from rfb_estabelecimento est order by est.cnpj;
uri RFB_ESTABELECIMENTO.uri%TYPE;
cnpj RFB_ESTABELECIMENTO.cnpj%TYPE;
razao_social rfb_estabelecimento.razao_social%TYPE;
nome_fantasia rfb_estabelecimento.nome_fantasia%TYPE;
porte rfb_estabelecimento.uri_porte%type;
email rfb_estabelecimento.email%type;
capital_social rfb_estabelecimento.capital_social%TYPE;
matriz_filial rfb_estabelecimento.uri_e_matriz_ou_filial%type;
cnae rfb_estabelecimento.uri_principal_ativ_economica%type;
data_inicio rfb_estabelecimento.data_inicio_ativ%type;
endereco rfb_estabelecimento.uri_endereco%type;
tel1 rfb_estabelecimento.telefone1%type;
tel2 rfb_estabelecimento.telefone2%type;
fax rfb_estabelecimento.fax%type;
situacao rfb_estabelecimento.uri_situacao%type;
contador number := 10;
begin
--open emp;
sys.DBMS_OUTPUT.PUT_LINE('inicio cursor teste');
open emp2;
loop
FETCH emp2 into uri, cnpj, razao_social, nome_fantasia, porte, email, capital_social, matriz_filial, cnae, data_inicio, endereco, tel1, tel2, fax, situacao;
exit when emp2%NOTFOUND;
if emp2%found then
sys.DBMS_OUTPUT.put_line('uri: '||uri||' cnpj: '||cnpj||' razao_social: '||razao_social||' capital_social: '||capital_social);
end if;
contador:=contador-1;
exit when contador = 0;
end loop;
--close emp;
close emp2;
end;
/
declare res int;
begin
res := teste_cursor();
DBMS_OUTPUT.PUT_LINE(res);
end;
|
<filename>v2.0/helpers/sites/sitebygpid.sql
WITH allgpu AS (
SELECT DISTINCT siteid, geopoliticalid
FROM
ndb.geopaths AS gp
INNER JOIN ndb.sitegeopolitical AS sgp ON sgp.geopoliticalid = gp.geoin
WHERE ${gpid} && gp.geoout OR sgp.geopoliticalid = ANY(${gpid})
OFFSET (CASE WHEN ${offset} IS NULL THEN 0
ELSE ${offset}
END)
LIMIT (CASE WHEN ${limit} IS NULL THEN 25
ELSE ${limit}
END)
),
collu AS (
SELECT sts.siteid,
json_build_object('collectionunitid', clu.collectionunitid,
'collectionunit', clu.collunitname,
'handle', clu.handle,
'collectionunittype', cts.colltype,
'datasets', json_agg(json_build_object('datasetid', dts.datasetid,
'datasettype', dst.datasettype))) AS collectionunit
FROM
ndb.datasets AS dts
LEFT JOIN ndb.collectionunits AS clu ON clu.collectionunitid = dts.collectionunitid
LEFT JOIN ndb.sites AS sts ON sts.siteid = clu.siteid
LEFT JOIN ndb.datasettypes AS dst ON dst.datasettypeid = dts.datasettypeid
LEFT OUTER JOIN ndb.collectiontypes as cts ON clu.colltypeid = cts.colltypeid
GROUP BY sts.siteid, clu.collectionunitid, cts.colltype
),
sites AS (
SELECT 'siteid', sts.siteid AS siteid,
json_build_object('siteid', sts.siteid,
'sitename', sts.sitename,
'sitedescription', sts.sitedescription,
'geography', ST_AsGeoJSON(sts.geog,5,2),
'altitude', sts.altitude,
'collectionunits', json_agg(cus.collectionunit)) AS sites
FROM
allgpu LEFT JOIN
collu AS cus on cus.siteid = allgpu.siteid LEFT OUTER JOIN
ndb.sitegeopolitical AS sgp ON sgp.geopoliticalid IN (allgpu.geopoliticalid) LEFT OUTER JOIN
ndb.sites AS sts ON sts.siteid = sgp.siteid LEFT OUTER JOIN
ndb.collectionunits AS clu ON clu.siteid = sts.siteid LEFT OUTER JOIN
ndb.collectiontypes as cts ON clu.colltypeid = cts.colltypeid LEFT OUTER JOIN
ndb.datasets AS dts ON dts.collectionunitid = clu.collectionunitid LEFT OUTER JOIN
ndb.datasettypes as dst ON dst.datasettypeid = dts.datasettypeid
GROUP BY sts.siteid
)
SELECT gpu.geopoliticalid AS geopoliticalid,
gpu.geopoliticalname AS geopoliticalname,
gpu.geopoliticalunit AS geopoliticalunit,
gpu.rank AS rank,
gpu.highergeopoliticalid AS highergeopoliticalid,
json_agg(sit.sites) AS sites
FROM
allgpu LEFT JOIN
sites AS sit on sit.siteid = allgpu.siteid LEFT OUTER JOIN
ndb.geopoliticalunits AS gpu ON gpu.geopoliticalid IN (allgpu.geopoliticalid)
GROUP BY gpu.geopoliticalid;
|
-- TODO issue#draft {
-- +migrate Up
CREATE TABLE "license_employee" (
"license" UUID NOT NULL,
"employee" UUID NOT NULL,
"created_at" TIMESTAMP NOT NULL DEFAULT now(),
UNIQUE ("employee")
-- UNIQUE ("license", "employee")
);
CREATE TABLE "license_workplace" (
"license" UUID NOT NULL,
"workplace" UUID NOT NULL,
"created_at" TIMESTAMP NOT NULL DEFAULT now(),
"updated_at" TIMESTAMP NULL DEFAULT NULL,
UNIQUE ("workplace")
-- UNIQUE ("license", "workplace")
);
-- +migrate Down
DROP TABLE "license_workplace";
DROP TABLE "license_employee";
-- issue#draft }
|
-- =============================================
-- Author: Adit
-- Create date: 28/10/2014
-- Description: load course monitoring
-- Author: Harris
-- Alter date: 19/03/2015
-- Description: perbaikan untuk centangan finalize
-- Modified by : Hengky
-- Date : 11 Feb 2017
-- Description : optimize query oracle
-- Staff_CMS_CourseMonitoring_LoadData 'OS1','371','1422'
-- =============================================
CREATE PROCEDURE dbo.Staff_CMS_CourseMonitoring_LoadData
@ACAD_CAREER VARCHAR(4),
@ATTR_VALUE VARCHAR(30),
@strm varchar(4)
AS
BEGIN
--DECLARE
--@ACAD_CAREER VARCHAR(4),
--@ATTR_VALUE VARCHAR(10),
--@Page int ,
--@MaxPage int,
--@strm varchar(4)
--SELECT
--@ACAD_CAREER = 'RS1',
--@ATTR_VALUE = '51',
--@Page = 1,
--@MaxPage = 10,
--@strm = '1410'
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;
DECLARE @COURSEMONITORINGTEMP TABLE (
CRSE_ID VARCHAR(8),
DESCR VARCHAR(200),
KDMTK VARCHAR(30),
SKST VARCHAR(10),
SKSP VARCHAR(10)
)
DECLARE @Query VARCHAR(MAX) =
'
SELECT *
FROM OPENQUERY(ORACLE238,''SELECT
distinct b.crse_id, b.course_title_long as descr,
CASE WHEN LENGTH(
c.SUBJECT||TRIM(c.CATALOG_NBR))=8 THEN
c.SUBJECT||TRIM(c.CATALOG_NBR) ELSE c.SUBJECT||SUBSTR(''''0000''''||TRIM(c.CATALOG_NBR),
-(5-LENGTH(c.SUBJECT)), 5-LENGTH(c.SUBJECT)) END AS Kode_MK,
COALESCE(D.N_SKST,''''-'''') as SKST,
COALESCE(D.N_SKSP,''''-'''') as SKSP
FROM PS_CRSE_CATALOG B
JOIN ps_crse_offer c
on b.crse_id = c.crse_ID
and c.course_approved = ''''A''''
/* and b.acad_career = c.acad_career*/
AND B.EFFDT = C.EFFDT
AND B.EFF_STATUS = ''''A''''
AND B.EFFDT = (SELECT MAX(EFFDT) FROM PS_CRSE_CATALOG
WHERE B.CRSE_ID = CRSE_ID AND EFFDT <= SYSDATE) JOIN PS_N_CRSE_DTL A ON c.INSTITUTION = A.INSTITUTION AND c.CRSE_ID = A.CRSE_ID AND c.EFFDT = A.EFFDT AND c.CRSE_OFFER_NBR = A.CRSE_OFFER_NBR JOIN PS_N_COURSE_CODE
D ON c.CRSE_ID = D.CRSE_ID
WHERE c.ACAD_CAREER = ''''' + @ACAD_CAREER + '''''
AND A.N_CRSE_ATTR_SFS = ''''' + @ATTR_VALUE + '''''
'')'
INSERT INTO @COURSEMONITORINGTEMP
EXEC sp_sqlexec @Query
--SELECT distinct RowNum = IDENTITY(INT, 1, 1), *
--INTO #RESULT
--FROM #COURSEMONITORINGTEMP
DECLARE @coursEOutlineID TABLE
(
courseOutlineID INT,
STRM VARCHAR(6),
ACAD_CAREER VARCHAR(6),
CRSE_ID VARCHAR(6)
)
INSERT INTO @courseOutlineID
SELECT z.courseOUtlineID, z.STRM, z.ACAD_CAREER, z.CRSE_ID
FROm LMS_CONTENT..courseOutline z WITH(NOLOCK)
LEFT JOIN @COURSEMONITORINGTEMP x
on z.crse_id = x.crse_id
WHERE z.acad_career = @ACAD_CAREER
and z.strm = @strm
AND z.stsrc <> 'D'
--SELECT * FROM @coursEOutlineID
SELECT distinct a.*, b.courseOutlineID, CASE WHEN
c.courseOutlineID IS NULL
THEN 0
ELSE 1
END
AS isFinal
FROM @COURSEMONITORINGTEMP a
LEFT JOIN courseOutline b WITH(NOLOCK)
on a.crse_id = b.crse_id
and b.acad_career = @ACAD_CAREER
and b.strm = @strm
AND b.stsrc <> 'D'
LEFT JOIN @courseOutlineID C
/*on b.courseOutlineID = c.courseOutlineID*/
ON B.CRSE_ID = C.CRSE_ID
AND b.ACAD_CAREER = C.ACAD_CAREER
AND b.STRM = C.STRM
--SELECT
-- TOP (@Page * @Maxpage) *,
-- (SELECT COUNT (CRSE_ID) FROM #RESULT) as Total
--FROM #RESULT
--WHERE
-- RowNum between (((@Page - 1) * @MaxPage) + 1) AND (@Page * @Maxpage)
--DROP TABLE #RESULT
END
|
<reponame>jdtjenkins/nestjs-jwt-auth<gh_stars>1-10
CREATE TABLE users (
`id` INT NOT NULL PRIMARY KEY AUTO_INCREMENT,
`username` VARCHAR(255) NOT NULL,
`password` varchar(255) NOT NULL
);
|
<gh_stars>10-100
ALTER TABLE client_config ADD COLUMN max_solve_time_ms INT NOT NULL DEFAULT 75;
|
<filename>FLIXTREME_DB.sql
-- phpMyAdmin SQL Dump
-- version 4.6.5.2
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Apr 03, 2020 at 09:32 PM
-- Server version: 10.1.21-MariaDB
-- PHP Version: 5.6.30
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `deflix`
--
-- --------------------------------------------------------
--
-- Table structure for table `active_sessions`
--
CREATE TABLE `active_sessions` (
`id` int(11) NOT NULL,
`username` varchar(100) NOT NULL,
`ipAddress` varchar(50) NOT NULL,
`device` varchar(500) NOT NULL,
`loginTime` int(10) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `active_sessions`
--
INSERT INTO `active_sessions` (`id`, `username`, `ipAddress`, `device`, `loginTime`) VALUES
(150, 'H3M3N', '::1', 'Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.163 Safari/537.36', 1585941824);
-- --------------------------------------------------------
--
-- Table structure for table `billing`
--
CREATE TABLE `billing` (
`billTimestamp` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`fromAccount` varchar(42) NOT NULL,
`toAccount` varchar(42) NOT NULL,
`txnHash` varchar(66) NOT NULL,
`duration` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `billing`
--
INSERT INTO `billing` (`billTimestamp`, `fromAccount`, `toAccount`, `txnHash`, `duration`) VALUES
('2020-03-07 11:47:46', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0x35083b83fc9410a0c1263bea1a077997811359fce2df3ae637a31b03831f0bdb', 1),
('2020-03-07 10:59:23', '0x1ded052DdCBAEb2B95d166B47B0caAaadAd03A16', '0xcb2698186dD2fAcF6Ba99B5235fCDa606a192C80', '0x37c8bf937a877dee836484f168bfc136c8c2c3d3df8e41dcf01c94f427fd1946', 1),
('2020-03-07 15:40:56', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0x3edf103166f52a75d696ad013c9cccdceac3980eea53ed934a0c5c3891a70b30', 1),
('2020-03-07 16:18:03', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '<KEY>', '0x3ff4b26859b751d08f4c06635c6cb212eae82988a497b82947573e8f871f5807', 12),
('2020-03-07 11:08:37', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0x47071709e414a17537610404073a61ac9bcb63675b595b1cdff1e2fd8a99b682', 1),
('2020-03-07 12:19:53', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0x5461291d2bcfc37ba80f3fd46ecaf54f1f8c9c8b82db398e42d98747afc4ed56', 3),
('2020-03-07 11:29:01', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0x67476f8fea49a2f05c2c42c824d2c5ee680e9204529170863ca9ee25434858ff', 1),
('2020-03-09 12:02:56', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0x70ea98c13c3ba23426867372922eeb28e6e80ddd6142b24d1ef19b1f8dee13f5', 1),
('2020-03-07 11:24:27', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0x80c7e1f62d071233c14fa205da1b99c3241117e8f7b2e42dc28618bf1a70e252', 1),
('2020-03-07 12:18:51', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0x91f5b4f65eb72479dbbe2a4e8569cbc32e98f65cdd2c8cd66dcba9b69bb66458', 1),
('2020-03-09 19:34:33', '0x4c99d357c374cf41dec67f6f08bd1ba9c96ed251', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0x991f987bb80f0484ea9626f28a06f7d3a2593ccafbcb6f1663d5df829ed6f58f', 6),
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('2020-03-07 12:13:46', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0xb79d951400008044e57fb6e6cec256b98adcb146ec2f291d8d766b243a2ac54a', 6),
('2020-03-07 12:07:38', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0xbd110afe34d0711303501a4b4dc87db45908a7f87f27697c21ff3ec7c4ad16eb', 1),
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('2020-03-07 12:12:35', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0xd37a4e45adec679fd0e8988cba647e9cf56e64cbdac2dbea126aad092762f28a', 12),
('2020-03-07 12:20:58', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0xd73961c89af587e0f5d473050380999bb52e322a9e44ca081d56c7f4a281343b', 6),
('2020-03-07 11:43:45', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0xe76161bfa0fe9db8c5b2ec996d4f20d77ab7724b38e8de888ab8430cc5885891', 1),
('2020-03-07 16:12:21', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0xeb0058ac3fe8365cfba311cf706fa7537efee6dbfadd2436a8d41162fc05b413', 1),
('2020-03-07 12:17:09', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0xf9a433ea08121cb889912fb8694652c54575e274735fac915d7fa63f5c71762f', 3),
('2020-03-07 12:21:46', '0x1ded052ddcbaeb2b95d166b47b0caaaadad03a16', '0xcb2698186dd2facf6ba99b5235fcda606a192c80', '0xf9b222a78fb3758a3533bf71cf892b03b04be7afb201c06d7aa28eeeb67ae622', 12);
-- --------------------------------------------------------
--
-- Table structure for table `categories`
--
CREATE TABLE `categories` (
`id` int(11) NOT NULL,
`name` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `categories`
--
INSERT INTO `categories` (`id`, `name`) VALUES
(1, 'Action & Adventure'),
(2, 'Classic'),
(3, 'Comedies'),
(4, 'Dramas'),
(5, 'Horror'),
(6, 'Romantic'),
(7, 'Sci - Fi & Fantasy'),
(8, 'Sports'),
(9, 'Thrillers'),
(10, 'Documentaries'),
(12, 'Teen'),
(13, 'Children & Family'),
(14, 'Anime'),
(15, 'Independent'),
(16, 'Foreign'),
(17, 'Music'),
(18, 'Christmas'),
(19, 'Others'),
(20, 'Cartoon');
-- --------------------------------------------------------
--
-- Table structure for table `entities`
--
CREATE TABLE `entities` (
`id` int(11) NOT NULL,
`name` varchar(250) NOT NULL,
`thumbnail` varchar(250) NOT NULL,
`preview` varchar(250) NOT NULL,
`categoryId` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `entities`
--
INSERT INTO `entities` (`id`, `name`, `thumbnail`, `preview`, `categoryId`) VALUES
(1, 'Friends', 'owncloud/data/admin/files/entities/thumbnails/friends.jpg', 'owncloud/data/admin/files/entities/previews/friends.mp4', 3),
(4, 'Toy Story', 'owncloud/data/admin/files/entities/thumbnails/toystory.jpg', 'owncloud/data/admin/files/entities/previews/toystory.mp4', 13),
(45, 'Inbetweeners', 'owncloud/data/admin/files/entities/thumbnails/inbetw.jpg', 'owncloud/data/admin/files/entities/previews/inb.mp4', 3),
(46, 'Suits', 'owncloud/data/admin/files/entities/thumbnails/Suits.jpg', 'owncloud/data/admin/files/entities/previews/suits.mp4', 4),
(47, 'Captain Underpants', 'owncloud/data/admin/files/entities/thumbnails/cu.jpg', 'owncloud/data/admin/files/entities/previews/cu.mp4', 13),
(48, 'Brooklyn Nine-Nine', 'owncloud/data/admin/files/entities/thumbnails/bnn.jpg', 'owncloud/data/admin/files/entities/previews/b99.mp4', 3),
(49, 'The Big Bang Theory', 'owncloud/data/admin/files/entities/thumbnails/tbbt.jpg', 'owncloud/data/admin/files/entities/previews/tbbt.mp4', 3),
(57, 'Jurassic Park', 'owncloud/data/admin/files/entities/thumbnails/jp.jpg', 'owncloud/data/admin/files/entities/previews/jp.mp4', 9),
(58, 'We Are Your Friends', 'owncloud/data/admin/files/entities/thumbnails/wayf.jpg', 'owncloud/data/admin/files/entities/previews/wayf.mp4', 17),
(59, 'Paddington Bear', 'owncloud/data/admin/files/entities/thumbnails/pb.jpg', 'owncloud/data/admin/files/entities/previews/pad.mp4', 13),
(61, 'Monster Family', 'owncloud/data/admin/files/entities/thumbnails/monsterfamily.jpg', 'owncloud/data/admin/files/entities/previews/monster.mp4', 13),
(62, 'Fast and Furious presents: Hobbs & Shaw', 'owncloud/data/admin/files/entities/thumbnails/has.jpg', 'owncloud/data/admin/files/entities/previews/has.mp4', 1),
(68, 'Jaws', 'owncloud/data/admin/files/entities/thumbnails/jaws.jpg', 'owncloud/data/admin/files/entities/previews/jaws.mp4', 9),
(69, 'Live Die Repeat', 'owncloud/data/admin/files/entities/thumbnails/ldr.jpg', 'owncloud/data/admin/files/entities/previews/ldr.mp4', 9),
(70, 'Into the Storm', 'owncloud/data/admin/files/entities/thumbnails/its.jpg', 'owncloud/data/admin/files/entities/previews/storm.mp4', 9),
(81, 'Mission Impossible', 'owncloud/data/admin/files/entities/thumbnails/mi.jpg', 'owncloud/data/admin/files/entities/previews/mi.mp4', 1),
(82, 'Never Back Down', 'owncloud/data/admin/files/entities/thumbnails/nbd.jpg', 'owncloud/data/admin/files/entities/previews/nbd.mp4', 1),
(83, 'Mechanic Resurrection', 'owncloud/data/admin/files/entities/thumbnails/mec.jpg', 'owncloud/data/admin/files/entities/previews/mech.mp4', 1),
(84, 'Need for Speed', 'owncloud/data/admin/files/entities/thumbnails/nfs.jpg', 'owncloud/data/admin/files/entities/previews/nfs.mp4', 1),
(85, 'Gravity', 'owncloud/data/admin/files/entities/thumbnails/gra.jpg', 'owncloud/data/admin/files/entities/previews/gravity.mp4', 7),
(86, 'Two And A Half Men', 'owncloud/data/admin/files/entities/thumbnails/tahm.jpg', 'owncloud/data/admin/files/entities/previews/tahm.mp4', 3),
(87, 'Game of Thrones', 'owncloud/data/admin/files/entities/thumbnails/got.jpg', 'owncloud/data/admin/files/entities/previews/got.mp4', 4),
(88, 'Dark Money', 'owncloud/data/admin/files/entities/thumbnails/dm.jpg', 'owncloud/data/admin/files/entities/previews/darkmoney.mp4', 4),
(89, 'Yellowstone', 'owncloud/data/admin/files/entities/thumbnails/yel.jpg', 'owncloud/data/admin/files/entities/previews/yellow.mp4', 4),
(90, 'Manifest', 'owncloud/data/admin/files/entities/thumbnails/man.jpg', 'owncloud/data/admin/files/entities/previews/manifest.mp4', 4),
(91, 'The Sound of Music', 'owncloud/data/admin/files/entities/thumbnails/som.jpg', 'owncloud/data/admin/files/entities/previews/somusic.mp4', 17),
(92, 'Hairspray', 'owncloud/data/admin/files/entities/thumbnails/hs.jpg', 'owncloud/data/admin/files/entities/previews/hairspray.mp4', 17),
(93, 'What We Started..', 'owncloud/data/admin/files/entities/thumbnails/wws.jpg', 'owncloud/data/admin/files/entities/previews/whatwestarted.mp4', 17),
(94, 'Step Up Revolution', 'owncloud/data/admin/files/entities/thumbnails/stepuprevolution.jpg', 'owncloud/data/admin/files/entities/previews/stepuprev.mp4', 17),
(95, 'Men in Black : International', 'owncloud/data/admin/files/entities/thumbnails/mib.jpg', 'owncloud/data/admin/files/entities/previews/mib.mp4', 7),
(96, 'Interstellar', 'owncloud/data/admin/files/entities/thumbnails/int.jpg', 'owncloud/data/admin/files/entities/previews/interstellar.mp4', 7),
(97, 'Transformers : Revenge of the fallen', 'owncloud/data/admin/files/entities/thumbnails/tra.jpg', 'owncloud/data/admin/files/entities/previews/transformers.mp4', 7),
(98, 'Cloudy with a Chance of Meatballs', 'owncloud/data/admin/files/entities/thumbnails/cwc.jpg', 'owncloud/data/admin/files/entities/previews/cloudy.mp4', 13),
(99, 'District 9', 'owncloud/data/admin/files/entities/thumbnails/d9.jpg', 'owncloud/data/admin/files/entities/previews/d9.mp4', 9),
(101, 'Inception', 'owncloud/data/admin/files/entities/thumbnails/inception.jpg', 'owncloud/data/admin/files/entities/previews/inception.mp4', 7);
-- --------------------------------------------------------
--
-- Table structure for table `resetpasswords`
--
CREATE TABLE `resetpasswords` (
`id` int(11) NOT NULL,
`code` varchar(13) NOT NULL,
`email` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `resetpasswords`
--
INSERT INTO `resetpasswords` (`id`, `code`, `email`) VALUES
(1, '5e878c4791a2d', '<EMAIL>');
-- --------------------------------------------------------
--
-- Table structure for table `subtitles`
--
CREATE TABLE `subtitles` (
`id` int(11) NOT NULL,
`videoId` int(11) NOT NULL,
`label` varchar(70) NOT NULL,
`filePath` varchar(512) NOT NULL,
`default1` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `subtitles`
--
INSERT INTO `subtitles` (`id`, `videoId`, `label`, `filePath`, `default1`) VALUES
(1, 6, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(2, 6, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(3, 7, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(4, 7, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(5, 8, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(6, 8, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(7, 9, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(8, 9, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(9, 10, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(10, 10, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(11, 11, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(12, 11, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(13, 12, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(14, 12, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(15, 13, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(16, 13, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(17, 14, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(18, 14, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(19, 15, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(20, 15, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(21, 16, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(22, 16, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(23, 17, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(24, 17, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(25, 18, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(26, 18, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(27, 19, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(28, 19, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(29, 20, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(30, 20, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(31, 21, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(32, 21, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(33, 22, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(34, 22, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(35, 23, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(36, 23, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(37, 24, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(38, 24, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(39, 25, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(40, 25, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(41, 26, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(42, 26, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(43, 27, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(44, 27, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(45, 28, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(46, 28, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(47, 29, 'English subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/eng.vtt', 1),
(48, 29, 'Hindi subtitles', 'owncloud/data/admin/files/media/tahm/1/subs/hin.vtt', 0),
(49, 30, 'English subtitles', 'owncloud/data/admin/files/media/inception/subs/eng.vtt', 1),
(50, 30, 'French subtitles', 'owncloud/data/admin/files/media/inception/subs/fr.vtt', 0),
(51, 30, 'Arabic subtitles', 'owncloud/data/admin/files/media/inception/subs/arb.vtt', 0),
(52, 184, 'English Subtitles', 'owncloud/data/admin/files/media/suits/1/1/subs/eng.vtt', 1),
(53, 185, 'English Subtitles', 'owncloud/data/admin/files/media/suits/1/2/subs/eng.vtt', 1),
(54, 186, 'English Subtitles', 'owncloud/data/admin/files/media/suits/1/3/subs/eng.vtt', 1),
(55, 187, 'English Subtitles', 'owncloud/data/admin/files/media/suits/1/4/subs/eng.vtt', 1),
(56, 188, 'English Subtitles', 'owncloud/data/admin/files/media/suits/1/5/subs/eng.vtt', 1),
(57, 189, 'English Subtitles', 'owncloud/data/admin/files/media/suits/1/6/subs/eng.vtt', 1),
(58, 190, 'English Subtitles', 'owncloud/data/admin/files/media/suits/1/7/subs/eng.vtt', 1),
(59, 191, 'English Subtitles', 'owncloud/data/admin/files/media/suits/1/8/subs/eng.vtt', 1),
(60, 192, 'English Subtitles', 'owncloud/data/admin/files/media/suits/1/9/subs/eng.vtt', 1),
(61, 193, 'English Subtitles', 'owncloud/data/admin/files/media/suits/1/10/subs/eng.vtt', 1),
(62, 194, 'English Subtitles', 'owncloud/data/admin/files/media/suits/1/11/subs/eng.vtt', 1),
(63, 195, 'English Subtitles', 'owncloud/data/admin/files/media/suits/1/12/subs/eng.vtt', 1);
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`id` int(11) NOT NULL,
`firstName` varchar(25) NOT NULL,
`lastName` varchar(25) NOT NULL,
`username` varchar(50) NOT NULL,
`email` varchar(100) NOT NULL,
`password` varchar(255) NOT NULL,
`signUpDate` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
`validityTimestamp` int(10) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `users`
--
INSERT INTO `users` (`id`, `firstName`, `lastName`, `username`, `email`, `password`, `signUpDate`, `validityTimestamp`) VALUES
(7, 'Hemendra', 'Naik', 'H3M3N', '<EMAIL>', '<PASSWORD>', '2019-12-30 21:38:07', 1762413432),
(8, 'Beta', 'Tester', '<PASSWORD>', '<EMAIL>', '<PASSWORD>', '2019-12-30 21:38:07', 0),
(11, 'Shubham', 'Vaity', 'sh<PASSWORD>', '<EMAIL>', '<PASSWORD>', '2020-03-10 01:01:44', 1599334473);
-- --------------------------------------------------------
--
-- Table structure for table `videoprogress`
--
CREATE TABLE `videoprogress` (
`username` varchar(50) NOT NULL,
`videoId` int(11) NOT NULL,
`progress` int(11) NOT NULL,
`finished` int(11) NOT NULL,
`dateModified` datetime NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `videos`
--
CREATE TABLE `videos` (
`id` int(11) NOT NULL,
`title` varchar(255) NOT NULL,
`description` varchar(1000) NOT NULL,
`filePath` varchar(250) NOT NULL,
`isMovie` tinyint(1) NOT NULL,
`uploadDate` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
`releaseDate` date NOT NULL,
`views` int(11) NOT NULL DEFAULT '0',
`duration` varchar(10) NOT NULL,
`season` int(11) DEFAULT '0',
`episode` int(11) DEFAULT '0',
`entityId` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `videos`
--
INSERT INTO `videos` (`id`, `title`, `description`, `filePath`, `isMovie`, `uploadDate`, `releaseDate`, `views`, `duration`, `season`, `episode`, `entityId`) VALUES
(1, 'The Sound Of Music', 'Set in Austria on the eve of the Anschluss in 1938, the musical tells the story of Maria, who takes a job as governess to a large family while she decides whether to become a nun. She falls in love with the children, and eventually their widowed father, <NAME>.', 'owncloud/data/admin/files/media/som/master.m3u8', 1, '2020-03-13 14:37:05', '1965-03-02', 0, '02:55:34', 0, 0, 91),
(2, '<NAME>', 'Martijn discusses the history and state of electronic dance music.', 'owncloud/data/admin/files/media/wws/1/1/master.m3u8', 0, '2020-03-13 14:37:05', '2017-03-17', 10, '00:14:45', 1, 1, 93),
(3, 'Hairspray', 'Tracy emerges from being an overweight teenager to a television superstar. However, her journey is interrupted when she becomes a victim of racial discrimination and decides to fight back.', 'owncloud/data/admin/files/media/demo/master.m3u8', 1, '2020-03-13 14:37:05', '2007-07-13', 3, '02:04:34', 0, 0, 92),
(4, 'Step Up Revolution', 'Two young aspiring dancers find love in each other while fighting to save their neighbourhood in Miami from a developer.', 'owncloud/data/admin/files/media/demo/master.m3u8', 1, '2020-03-13 14:37:05', '2012-05-10', 5, '01:46:32', 0, 0, 94),
(5, 'We Are Your Friends', 'Young <NAME> dreams of hitting the big time as a Hollywood disc jockey, spending his days and nights hanging with buddies and working on the one track that will set the world on fire.', 'owncloud/data/admin/files/media/wayf/master.m3u8', 1, '2020-03-13 14:37:05', '2015-03-12', 6, '01:40:08', 0, 0, 58),
(6, 'Most Chicks Won\'t Eat Veal', 'Carefree bachelor <NAME>\'s life is turned upside down when his brother Alan and ten-year-old nephew Jake move in with him when Alan\'s wife Judith kicks him out after 12 years of marriage.', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-06', 29, '00:21:17', 1, 1, 86),
(7, 'Light in the Mage', 'Interdum nulla at quis phasellus ornare habitasse dictumst vehicula aliquet senectus. Dolor vestibulum luctus feugiat tincidunt facilisis nunc quisque', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-09', 6, '00:20:13', 1, 2, 86),
(8, 'Sliver in the Weeping', 'Suspendisse eget curabitur sodales. Malesuada lobortis dui fermentum dignissim nisl, non sed a gravida. Dictum phasellus quam libero.', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-19', 3, '00:22:13', 1, 3, 86),
(9, 'Burning Something', 'Ligula tellus nisi convallis suscipit fames aenean, lorem non nibh nisi orci curae sollicitudin taciti ad turpis nam imperdiet. Egestas a tortor conva', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-19', 2, '00:22:13', 1, 4, 86),
(10, 'Voyager in the Lord', 'Amet sed at metus mollis phasellus cursus massa faucibus gravida vel maximus torquent turpis. Eleifend quisque pretium, felis pharetra class dignissim', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-29', 0, '00:22:13', 1, 5, 86),
(11, 'Light in the Mage', 'Interdum nulla at quis phasellus ornare habitasse dictumst vehicula aliquet senectus. Dolor vestibulum luctus feugiat tincidunt facilisis nunc quisque', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-09', 0, '00:20:13', 1, 6, 86),
(12, 'Light in the Mage', 'Interdum nulla at quis phasellus ornare habitasse dictumst vehicula aliquet senectus. Dolor vestibulum luctus feugiat tincidunt facilisis nunc quisque', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-09', 0, '00:20:13', 1, 7, 86),
(13, 'Sliver in the Weeping', 'Suspendisse eget curabitur sodales. Malesuada lobortis dui fermentum dignissim nisl, non sed a gravida. Dictum phasellus quam libero.', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-02-13', 5, '00:22:13', 1, 8, 86),
(14, 'Light in the Mage', 'Interdum nulla at quis phasellus ornare habitasse dictumst vehicula aliquet senectus. Dolor vestibulum luctus feugiat tincidunt facilisis nunc quisque', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-09', 5, '00:20:13', 2, 1, 86),
(15, 'Light in the Mage', 'Interdum nulla at quis phasellus ornare habitasse dictumst vehicula aliquet senectus. Dolor vestibulum luctus feugiat tincidunt facilisis nunc quisque', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-09', 0, '00:20:13', 2, 2, 86),
(16, 'Sliver in the Weeping', 'Suspendisse eget curabitur sodales. Malesuada lobortis dui fermentum dignissim nisl, non sed a gravida. Dictum phasellus quam libero.', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-19', 0, '00:22:13', 2, 3, 86),
(17, 'Burning Something', 'Ligula tellus nisi convallis suscipit fames aenean, lorem non nibh nisi orci curae sollicitudin taciti ad turpis nam imperdiet. Egestas a tortor conva', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-19', 0, '00:22:13', 2, 4, 86),
(18, 'Voyager in the Lord', 'Amet sed at metus mollis phasellus cursus massa faucibus gravida vel maximus torquent turpis. Eleifend quisque pretium, felis pharetra class dignissim', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-29', 0, '00:22:13', 2, 5, 86),
(19, 'Light in the Mage', 'Interdum nulla at quis phasellus ornare habitasse dictumst vehicula aliquet senectus. Dolor vestibulum luctus feugiat tincidunt facilisis nunc quisque', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-09', 0, '00:20:13', 2, 6, 86),
(20, 'Light in the Mage', 'Interdum nulla at quis phasellus ornare habitasse dictumst vehicula aliquet senectus. Dolor vestibulum luctus feugiat tincidunt facilisis nunc quisque', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-09', 0, '00:20:13', 2, 7, 86),
(21, 'Sliver in the Weeping', 'Suspendisse eget curabitur sodales. Malesuada lobortis dui fermentum dignissim nisl, non sed a gravida. Dictum phasellus quam libero.', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-02-13', 0, '00:22:13', 2, 8, 86),
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(26, 'Voyager in the Lord', 'Amet sed at metus mollis phasellus cursus massa faucibus gravida vel maximus torquent turpis. Eleifend quisque pretium, felis pharetra class dignissim', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-29', 3, '00:22:13', 3, 5, 86),
(27, 'Light in the Mage', 'Interdum nulla at quis phasellus ornare habitasse dictumst vehicula aliquet senectus. Dolor vestibulum luctus feugiat tincidunt facilisis nunc quisque', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-09', 0, '00:20:13', 3, 6, 86),
(28, 'Light in the Mage', 'Interdum nulla at quis phasellus ornare habitasse dictumst vehicula aliquet senectus. Dolor vestibulum luctus feugiat tincidunt facilisis nunc quisque', 'owncloud/data/admin/files/media/tahm/1/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-09', 0, '00:20:13', 3, 7, 86),
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(30, 'Inception', 'A thief who steals corporate secrets through the use of dream-sharing technology is given the inverse task of planting an idea into the mind of a C.E.O.', 'owncloud/data/admin/files/media/inception/master.m3u8', 1, '2020-03-13 14:37:05', '2010-03-12', 3, '02:28:15', 0, 0, 101),
(31, 'Gravity', 'Dr <NAME>, an engineer, and <NAME>, an astronaut, are on a space mission together. However, when they are hit by high-speed space debris, they must find a way to return to Earth.', 'owncloud/data/admin/files/media/gravity/master.m3u8', 1, '2020-03-13 14:37:05', '2013-03-11', 8, '01:31:23', 0, 0, 85),
(32, 'Transformers : Revenge of the fallen', 'Sam leaves the Autobots to lead a normal life. However, the Decepticons target him and drag him back into the Transformers\' war.', 'owncloud/data/admin/files/media/transformers/master.m3u8', 1, '2020-03-13 14:37:05', '2009-03-28', 1, '02:30:45', 0, 0, 97),
(33, 'Interstellar', 'In Earth\'s future, a global crop blight and second Dust Bowl are slowly rendering the planet uninhabitable. Professor Brand (<NAME>), a brilliant NASA physicist, is working on plans to save mankind by transporting Earth\'s population to a new home via a wormhole.', 'owncloud/data/admin/files/media/interstellar/master.m3u8', 1, '2020-03-13 14:37:05', '2014-03-19', 3, '02:49:12', 0, 0, 96),
(34, 'Men In Black : International', 'When aliens that have the ability to shape-shift into humans arrive on Earth, Agent H joins forces with Agent M, a new recruit, to save the planet.', 'owncloud/data/admin/files/media/mib/master.m3u8', 1, '2020-03-13 14:37:05', '2019-03-03', 8, '01:55:23', 0, 0, 95),
(35, 'Light in the Mage', 'Interdum nulla at quis phasellus ornare habitasse dictumst vehicula aliquet senectus. Dolor vestibulum luctus feugiat tincidunt facilisis nunc quisque', 'owncloud/data/admin/files/media/demo/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-09', 1, '00:20:13', 1, 1, 61),
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INSERT INTO `videos` (`id`, `title`, `description`, `filePath`, `isMovie`, `uploadDate`, `releaseDate`, `views`, `duration`, `season`, `episode`, `entityId`) VALUES
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(170, 'Light in the Mage', 'Interdum nulla at quis phasellus ornare habitasse dictumst vehicula aliquet senectus. Dolor vestibulum luctus feugiat tincidunt facilisis nunc quisque', 'owncloud/data/admin/files/media/demo/master.m3u8', 0, '2020-03-13 14:37:05', '2003-01-09', 0, '00:20:13', 2, 2, 49),
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(183, 'Need For Speed', 'Aenean dignissim tincidunt massa, at elementum justo viverra sed. Pellentesque ac quam ante. Curabitur metus lacus, accumsan quis mi ut', 'owncloud/data/admin/files/media/demo/master.m3u8', 1, '2020-03-13 14:37:05', '2014-03-12', 0, '02:28:24', 0, 0, 84),
(184, 'Pilot', 'After <NAME>, New York City\'s best closer, finally achieves his goal of becoming a senior partner at <NAME>.', 'owncloud/data/admin/files/media/suits/1/1/master.m3u8', 0, '2020-03-13 14:37:05', '2014-03-19', 7, '01:12:33', 1, 1, 46),
(185, 'Errors and Omissions', 'A judge (<NAME>) insists that Harvey had an affair with his wife (<NAME>) and refuses to fairly judge Harveys case.', 'owncloud/data/admin/files/media/suits/1/2/master.m3u8', 0, '2020-03-13 14:37:05', '2014-03-19', 14, '00:42:55', 1, 2, 46),
(186, 'Inside Track', 'When the new CEO of a motor company wants to move production overseas, Harvey and Mike try to find a loophole to oust him.', 'owncloud/data/admin/files/media/suits/1/3/master.m3u8', 0, '2020-03-13 14:37:05', '2014-03-19', 3, '00:42:18', 1, 3, 46),
(187, 'Dirty Little Secrets', 'Harvey defends Jessica and her ex-husband from allegations that his ALS medication is causing serious side effects.', 'owncloud/data/admin/files/media/suits/1/4/master.m3u8', 0, '2020-03-13 14:37:05', '2014-03-19', 5, '00:43:02', 1, 4, 46),
(188, 'Bail Out', 'Harvey must choose between closing a lucrative deal and helping his trusted driver defend against a lawsuit.', 'owncloud/data/admin/files/media/suits/1/5/master.m3u8', 0, '2020-03-13 14:37:05', '2014-03-19', 4, '00:42:03', 1, 5, 46),
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(190, 'Play the Man', 'Mike is pitted against one of Louis\'s proteges in a mock trial. Harvey takes on an old rival and romantic interest.', 'owncloud/data/admin/files/media/suits/1/7/master.m3u8', 0, '2020-03-13 14:37:05', '2014-03-19', 3, '00:42:51', 1, 7, 46),
(191, 'Identity Crisis', 'The daughter of a businessman threatens to reveal Mike\'s secret unless he and the firm drop the case.', 'owncloud/data/admin/files/media/suits/1/8/master.m3u8', 0, '2020-03-13 14:37:05', '2014-03-19', 2, '00:43:01', 1, 8, 46),
(192, 'Undefeated', 'Harvey must decide if he can break his ethical code in order to defeat shady lawyer Travis. Meanwhile, Rachel is accused of leaking information.', 'owncloud/data/admin/files/media/suits/1/9/master.m3u8', 0, '2020-03-13 14:37:05', '2014-03-19', 4, '00:42:54', 1, 9, 46),
(193, 'Shelf Life', 'Mike and Harvey have to fire a man who has been working for nine years with a fake diploma. Mike identifies with this man and defends him.', 'owncloud/data/admin/files/media/suits/1/10/master.m3u8', 0, '2020-03-13 14:37:05', '2014-03-19', 4, '00:42:36', 1, 10, 46),
(194, 'Rules of the Game', 'The district attorney and Harveys former mentor turns to his protege when his office is being investigated for burying evidence.', 'owncloud/data/admin/files/media/suits/1/11/master.m3u8', 0, '2020-03-13 14:37:05', '2014-03-19', 2, '00:42:29', 1, 11, 46),
(195, 'Dog Fight', 'Harvey tries to correct a past mistake by freeing an innocent man. However, the new district attorney seems more focused on preserving the system than seeking justice.', 'owncloud/data/admin/files/media/suits/1/12/master.m3u8', 0, '2020-03-13 14:37:05', '2014-03-19', 4, '00:42:25', 1, 12, 46);
--
-- Indexes for dumped tables
--
--
-- Indexes for table `active_sessions`
--
ALTER TABLE `active_sessions`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `billing`
--
ALTER TABLE `billing`
ADD PRIMARY KEY (`txnHash`);
--
-- Indexes for table `categories`
--
ALTER TABLE `categories`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `entities`
--
ALTER TABLE `entities`
ADD PRIMARY KEY (`id`),
ADD KEY `categoryId` (`categoryId`);
--
-- Indexes for table `resetpasswords`
--
ALTER TABLE `resetpasswords`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `subtitles`
--
ALTER TABLE `subtitles`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `videos`
--
ALTER TABLE `videos`
ADD PRIMARY KEY (`id`),
ADD KEY `entityId` (`entityId`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `active_sessions`
--
ALTER TABLE `active_sessions`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=151;
--
-- AUTO_INCREMENT for table `categories`
--
ALTER TABLE `categories`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=21;
--
-- AUTO_INCREMENT for table `entities`
--
ALTER TABLE `entities`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=102;
--
-- AUTO_INCREMENT for table `resetpasswords`
--
ALTER TABLE `resetpasswords`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `subtitles`
--
ALTER TABLE `subtitles`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=64;
--
-- AUTO_INCREMENT for table `users`
--
ALTER TABLE `users`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=12;
--
-- AUTO_INCREMENT for table `videos`
--
ALTER TABLE `videos`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=196;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `videos`
--
ALTER TABLE `videos`
ADD CONSTRAINT `videos_ibfk_1` FOREIGN KEY (`entityId`) REFERENCES `entities` (`id`) ON DELETE CASCADE ON UPDATE CASCADE;
/*!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>1000+
-- ref: https://docs.snowflake.com/en/user-guide/sample-data-tpch.html#database-entities-relationships-and-characteristics
CREATE OR REPLACE SCHEMA TPCH_SF1;
USE SCHEMA TPCH_SF1;
CREATE OR REPLACE TABLE CUSTOMER (
C_CUSTKEY NUMBER(38,0) NOT NULL
, C_NAME VARCHAR(25) NOT NULL
, C_ADDRESS VARCHAR(40) NOT NULL
, C_NATIONKEY NUMBER(38,0) NOT NULL
, C_PHONE VARCHAR(15) NOT NULL
, C_ACCTBAL NUMBER(12,2) NOT NULL
, C_MKTSEGMENT VARCHAR(10)
, C_COMMENT VARCHAR(117)
);
CREATE OR REPLACE TABLE LINEITEM (
L_ORDERKEY NUMBER(38,0) NOT NULL
, L_PARTKEY NUMBER(38,0) NOT NULL
, L_SUPPKEY NUMBER(38,0) NOT NULL
, L_LINENUMBER NUMBER(38,0) NOT NULL
, L_QUANTITY NUMBER(12,2) NOT NULL
, L_EXTENDEDPRICE NUMBER(12,2) NOT NULL
, L_DISCOUNT NUMBER(12,2) NOT NULL
, L_TAX NUMBER(12,2) NOT NULL
, L_RETURNFLAG VARCHAR(1) NOT NULL
, L_LINESTATUS VARCHAR(1) NOT NULL
, L_SHIPDATE DATE NOT NULL
, L_COMMITDATE DATE NOT NULL
, L_RECEIPTDATE DATE NOT NULL
, L_SHIPINSTRUCT VARCHAR(25) NOT NULL
, L_SHIPMODE VARCHAR(10) NOT NULL
, L_COMMENT VARCHAR(44) NOT NULL
);
CREATE OR REPLACE TABLE NATION (
N_NATIONKEY NUMBER(38,0) NOT NULL
, N_NAME VARCHAR(25) NOT NULL
, N_REGIONKEY NUMBER(38,0) NOT NULL
, N_COMMENT VARCHAR(152)
);
CREATE OR REPLACE TABLE ORDERS (
O_ORDERKEY NUMBER(38,0) NOT NULL
, O_CUSTKEY NUMBER(38,0) NOT NULL
, O_ORDERSTATUS VARCHAR(1) NOT NULL
, O_TOTALPRICE NUMBER(12,2) NOT NULL
, O_ORDERDATE DATE NOT NULL
, O_ORDERPRIORITY VARCHAR(15) NOT NULL
, O_CLERK VARCHAR(15) NOT NULL
, O_SHIPPRIORITY NUMBER(38,0) NOT NULL
, O_COMMENT VARCHAR(79) NOT NULL
);
CREATE OR REPLACE TABLE PART (
P_PARTKEY NUMBER(38,0) NOT NULL
, P_NAME VARCHAR(55) NOT NULL
, P_MFGR VARCHAR(25) NOT NULL
, P_BRAND VARCHAR(10) NOT NULL
, P_TYPE VARCHAR(25) NOT NULL
, P_SIZE NUMBER(38,0) NOT NULL
, P_CONTAINER VARCHAR(10) NOT NULL
, P_RETAILPRICE NUMBER(12,2) NOT NULL
, P_COMMENT VARCHAR(23)
);
CREATE OR REPLACE TABLE PARTSUPP (
PS_PARTKEY NUMBER(38,0) NOT NULL
, PS_SUPPKEY NUMBER(38,0) NOT NULL
, PS_AVAILQTY NUMBER(38,0) NOT NULL
, PS_SUPPLYCOST NUMBER(12,2) NOT NULL
, PS_COMMENT VARCHAR(199)
);
CREATE OR REPLACE TABLE REGION (
R_REGIONKEY NUMBER(38,0) NOT NULL
, R_NAME VARCHAR(25) NOT NULL
, R_COMMENT VARCHAR(152)
);
CREATE OR REPLACE TABLE SUPPLIER (
S_SUPPKEY NUMBER(38,0) NOT NULL
, S_NAME VARCHAR(25) NOT NULL
, S_ADDRESS VARCHAR(40) NOT NULL
, S_NATIONKEY NUMBER(38,0) NOT NULL
, S_PHONE VARCHAR(15) NOT NULL
, S_ACCTBAL NUMBER(12,2) NOT NULL
, S_COMMENT VARCHAR(101)
);
|
create table proc_sfb.kfw_car_municipios as
SELECT
municipio.cod_estado,
municipio.idt_municipio,
municipio.nom_municipio,
municipio.geo_localizacao
FROM
usr_geocar_aplicacao.municipio
WHERE
municipio.idt_municipio in (5100359,5100508,5100805,5101258,5101407,5101902,5102702,5102793,5102850,
5103205,5103254,5103304,5103353,5103379,5103452,5103502,5103858,5104104,5104542,5104559,5105002,5105101,
5105150,5105580,5105606,5105622,5106158,5106216,5108808,5106182,5108907,5108956,5106190,5106273,5106265,
5106299,5106422,5106752,5106778,5106802,5107065,5107206,5107776,5107859,5107941,5108055,5108600,1500347,
1501253,1501758,1502707,1502939,1503044,1505437,1505494,1505551,1505635,1506138,1506161,1507151,1507458,
1507508,1507755,1508084,1508126,1508407,1100403,1100452,1100700,1100940,1101104,1100130,1100338,1100189,1100205)
create table proc_sfb.kfw_car_imoveis as
SELECT
municipio.cod_estado,
municipio.idt_municipio,
municipio.nom_municipio,
imovel.idt_imovel,
imovel.cod_imovel,
imovel.ind_status_imovel,
imovel.ind_tipo_imovel,
imovel.num_area_imovel,
imovel.num_modulo_fiscal,
geo_area_imovel
FROM
usr_geocar_aplicacao.imovel,
usr_geocar_aplicacao.municipio
WHERE
ind_status_imovel in ('AT', 'PE') and
municipio.idt_municipio in (5100359,5100508,5100805,5101258,5101407,5101902,5102702,5102793,5102850,
5103205,5103254,5103304,5103353,5103379,5103452,5103502,5103858,5104104,5104542,5104559,5105002,5105101,
5105150,5105580,5105606,5105622,5106158,5106216,5108808,5106182,5108907,5108956,5106190,5106273,5106265,
5106299,5106422,5106752,5106778,5106802,5107065,5107206,5107776,5107859,5107941,5108055,5108600,1500347,
1501253,1501758,1502707,1502939,1503044,1505437,1505494,1505551,1505635,1506138,1506161,1507151,1507458,
1507508,1507755,1508084,1508126,1508407,1100403,1100452,1100700,1100940,1101104,1100130,1100338,1100189,1100205) and
municipio.idt_municipio = imovel.idt_municipio;
|
<reponame>JanoSlivka/Kros.KORM.MsAccess
CREATE TABLE [IdStore] (
[TableName] char(100) NOT NULL,
[LastId] int NOT NULL
);
CREATE UNIQUE INDEX [PK_IdStore] ON [IdStore] ([TableName] ASC) WITH PRIMARY;
|
<reponame>reclada/db
CREATE SCHEMA dev;
-- drop FUNCTION dev.raise_exception
CREATE FUNCTION public.raise_exception(msg text)
RETURNS void
LANGUAGE plpgsql VOLATILE
AS
$func$
BEGIN
--
RAISE EXCEPTION '%', msg;
END
$func$;
CREATE FUNCTION public.raise_notice(msg text)
RETURNS void
LANGUAGE plpgsql VOLATILE
AS
$func$
BEGIN
--
RAISE NOTICE '%', msg;
END
$func$;
-- drop table dev.ver
CREATE table dev.ver
(
id INT GENERATED ALWAYS AS IDENTITY,
ver int not null,
ver_str text,
upgrade_script text not null,
downgrade_script text not null,
run_at timestamp with time zone DEFAULT now()
);
insert into dev.ver(
ver,
ver_str,
upgrade_script,
downgrade_script)
select 0,
'0',
'select public.raise_exception (''This is 0 version'');',
'select public.raise_exception (''This is 0 version'');';
CREATE table dev.t_dbg
(
id INT GENERATED ALWAYS AS IDENTITY,
msg text not null,
time_when timestamp with time zone DEFAULT now()
);
CREATE FUNCTION dev.reg_notice(msg TEXT)
RETURNS void
LANGUAGE PLPGSQL VOLATILE
as
$do$
BEGIN
insert into dev.t_dbg(msg)
select msg;
perform public.raise_notice(msg);
END
$do$;
-- drop function dev.downgrade_version;
CREATE or replace function dev.downgrade_version()
returns void
LANGUAGE PLPGSQL VOLATILE
as
$do$
declare
current_ver int;
downgrade_script text;
v_state TEXT;
v_msg TEXT;
v_detail TEXT;
v_hint TEXT;
v_context TEXT;
BEGIN
select max(ver)
from dev.VER
into current_ver;
select v.downgrade_script
from dev.VER v
WHERE current_ver = v.ver
into downgrade_script;
if COALESCE(downgrade_script,'') = '' then
RAISE EXCEPTION 'downgrade_script is empty! from dev.downgrade_version()';
end if;
EXECUTE downgrade_script;
-- mark, that chanches applied
delete
from dev.VER v
where v.ver = current_ver;
v_msg = 'OK, curren version: ' || (current_ver-1)::text;
perform public.raise_notice(v_msg);
EXCEPTION when OTHERS then
get stacked diagnostics
v_state = returned_sqlstate,
v_msg = message_text,
v_detail = pg_exception_detail,
v_hint = pg_exception_hint,
v_context = pg_exception_context;
v_state := format('Got exception:
state : %s
message : %s
detail : %s
hint : %s
context : %s
SQLSTATE: %s
SQLERRM : %s',
v_state,
v_msg,
v_detail,
v_hint,
v_context,
SQLSTATE,
SQLERRM);
perform dev.reg_notice(v_state);
END
$do$;
/*
set replication_role = 'replica';
set replication_role = DEFAULT;
*/
|
<reponame>hdsjulian/outlierAlert<gh_stars>1-10
BEGIN TRANSACTION;
CREATE TABLE "telegram_users" (
`id` INTEGER,
`user_name` INTEGER,
`user_id` INTEGER,
`allsizes` INTEGER,
PRIMARY KEY(`id`)
);
CREATE TABLE `telegram_user_sizes` (
`user_id` INTEGER,
`size` TEXT
);
CREATE TABLE "telegram_offset" (
`offset` INTEGER
);
CREATE TABLE "product_color_size" (
`product_color_id` INTEGER,
`product_color_size_id` INTEGER,
`sizes` TEXT,
`timestamp` INTEGER,
PRIMARY KEY(`product_color_size_id`)
);
CREATE TABLE `product_color_price` (
`product_color_id` INTEGER,
`price` INTEGER,
`timestamp` INTEGER
);
CREATE TABLE "product_color" (
`color_id` INTEGER,
`product_id` INTEGER,
`introduction` INTEGER,
`product_color_id` INTEGER,
PRIMARY KEY(`product_color_id`)
);
CREATE TABLE "color" (
`color_id` INTEGER,
`color_name` TEXT,
PRIMARY KEY(`color_id`)
);
CREATE TABLE "Product" (
`product_id` INTEGER,
`product_name` TEXT,
`introduction` TEXT,
`URL` TEXT,
`discontinued` INTEGER,
`story` TEXT,
`description` TEXT,
PRIMARY KEY(`product_id`)
);
COMMIT;
|
<gh_stars>0
CREATE TABLE `okazu_to_track` (
`id` int(10) unsigned NOT NULL AUTO_INCREMENT,
`okazu_id` int(10) unsigned NOT NULL,
`track_id` int(10) unsigned NOT NULL,
`file_number` int(10) unsigned DEFAULT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `okazu_id_2` (`okazu_id`,`track_id`),
KEY `album_id` (`track_id`),
KEY `okazu_id` (`okazu_id`),
CONSTRAINT `okazu_to_track_ibfk_1` FOREIGN KEY (`okazu_id`) REFERENCES `okazu` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
CONSTRAINT `okazu_to_track_ibfk_2` FOREIGN KEY (`track_id`) REFERENCES `track` (`id`) ON DELETE CASCADE ON UPDATE CASCADE
)
|
/* make sure it's really dead */
/*drop schema housedb_timeseries cascade;
drop schema housedb_locations cascade;
drop schema housedb_security cascade;*/
|
/* IS631 Enterprise Database Management */
/* <NAME> (acd53) */
/* Part 4 Front End and Geospatial Data */
--Creating the GeoLocation Column in AQS_Sites Table
IF COL_LENGTH('AQS_sites', 'GeoLocation') IS NULL
BEGIN
alter table AQS_Sites
add GeoLocation Geography
END
--Populating the GoeLocation Column
UPDATE [dbo].[AQS_Sites]
SET [GeoLocation] = geography::Point([Latitude], [Longitude], 4326)
--Checking if the stored procedure exists or not
IF OBJECT_ID('acd53_Spring2020_Calc_GEO_Distance') IS NOT NULL
DROP procedure acd53_Spring2020_Calc_GEO_Distance
GO
--Creating the Stored procedure acd53_Spring2020_Calc_GEO_Distance
CREATE PROCEDURE dbo.acd53_Spring2020_Calc_GEO_Distance
@longitude varchar(255),
@latitude varchar(255),
@State varchar(255),
@rownum int
AS
BEGIN
DECLARE @h geography
SET @h = geography::Point(@longitude, @latitude, 4326)
SELECT TOP(@rownum)
site_number,
Local_Site_Name =
CASE
WHEN Local_Site_Name IS NULL OR Local_Site_Name = ' ' THEN Site_Number + ' ' + City_Name
ELSE Local_Site_Name
END,
Address,
City_Name,
State_Name,
Zip_Code,
Geolocation.STDistance(@h) AS Distance_In_Meters,
Latitude,
Longitude,
(Geolocation.STDistance(@h))/8000 AS Hours_of_Travel
FROM [AQS_Sites]
WHERE State_Name = @State
END
GO
--Execute the queries to check the stored procedure
EXEC acd53_Spring2020_Calc_GEO_Distance '-74.426598','40.4991','Arizona',20
GO
EXEC acd53_Spring2020_Calc_GEO_Distance '-74.426598','40.4991','California',5
GO
EXEC acd53_Spring2020_Calc_GEO_Distance '-81.33821','27.48589','Florida',15
GO
|
create or replace function "load_articles_propose_test"() returns trigger as
$$
begin
call "load_articles_quiz"("new"."id");
return "new";
end;
$$ language "plpgsql";
create trigger "load_articles_propose_test_trigger"
after insert
on "group"
for each row
execute procedure "load_articles_propose_test"();
create or replace function "notify_male_certificate_for_military_office"() returns trigger as
$$
begin
if "new"."sex_id" = 1 then
insert into "event"("event_priority_id", "user_id", "event_text", "event_description", "event_date")
values ((select "id" from "event_priority" where "priority_name" = 'high'), "new"."id", 'Ребята, Вам необходимо получить справку для военкомата', 'Получить данную справку можно с понедельника по среду в кабинете 213 в 1 корпусе. Режим работы 10:00-15:00', current_timestamp);
return "new";
end if;
return new;
end;
$$ language "plpgsql";
create trigger "notify_male_certificate_for_military_office"
after insert
on "user"
for each row
execute procedure "notify_male_certificate_for_military_office"();
create or replace function "notify_material_deletion"() returns trigger as
$$
begin
insert into "event"("event_priority_id", "user_id", "event_text", "event_description", "event_date")
values ((select "id" from "event_priority" where "priority_name" = 'medium'), (select "user"."id"
from "user"
join "role" "r"
on "r"."id" = "user"."role_id"
where "role_name" = 'Староста'), 'Удаление ссовсем через 20 дней', 'В корзину было добавлено вложение. Оно будет удалено через 20 дней', current_timestamp + interval '20' day);
return "new";
end;
$$ language "plpgsql";
create trigger "notify_material_deletion()"
after insert
on "trash"
for each row
execute procedure "notify_material_deletion"();
create or replace function "notify_motivation"() returns trigger as
$$
begin
insert into "event"("event_priority_id", "user_id", "event_text", "event_description", "event_date")
values ((select "id" from "event_priority" where "priority_name" = 'low'), (select "user_id"
from "quiz_result"
where "user_id" = "new"."user_id"
limit 1), 'ВЫ МОЛОДЕЦ!', '))0)', current_timestamp);
return "new";
end;
$$ language "plpgsql";
create trigger "notify_material_deletion()"
after insert
on "quiz_result"
for each row
execute procedure "notify_motivation"();
create or replace function "notify_new_quiz"() returns trigger as
$$
begin
insert into "event"("event_priority_id", "group_id", "event_text", "event_description", "event_date")
values ((select "id" from "event_priority" where "priority_name" = 'medium'), (select "g"."id"
from "subject"
join "group" "g"
on "g"."id" = "subject"."group_id"
where "subject"."id" = "new"."subject_id"), 'Появился новый тест', '))0)', current_timestamp);
return "new";
end;
$$ language "plpgsql";
create trigger "notify_new_quiz()"
after insert
on "quiz"
for each row
execute procedure "notify_new_quiz"();
create or replace function "notify_new_software"() returns trigger as
$$
begin
insert into "event"("event_priority_id", "group_id", "event_text", "event_description", "event_date")
values ((select "id" from "event_priority" where "priority_name" = 'medium'), (select "g"."id"
from "subject"
join "group" "g"
on "g"."id" = "subject"."group_id"
where "subject"."id" = "new"."subject_id"), 'Появился новый soft', '))0)', current_timestamp);
return "new";
end;
$$ language "plpgsql";
create trigger "notify_new_software()"
after insert
on "software"
for each row
execute procedure "notify_new_software"();
create or replace function "notify_new_attachment"() returns trigger as
$$
begin
insert into "event"("event_priority_id", "group_id", "event_text", "event_description", "event_date")
values ((select "id" from "event_priority" where "priority_name" = 'medium'), (select "g"."id"
from "attachment"
join "page_attachment" "pa"
on "attachment"."id" = "pa"."attachment_id"
join "page" "p"
on "p"."id" = "pa"."page_id"
join "subject" "s"
on "s"."id" = "p"."subject_id"
join "group" "g"
on "g"."id" = "s"."group_id"
where "attachment_id" = "new"."id"), 'Появилось новое вложение', '))0)', current_timestamp);
return "new";
end;
$$ language "plpgsql";
create trigger "notify_new_attachment()"
after insert
on "attachment"
for each row
execute procedure "notify_new_attachment"();
|
DROP DATABASE IF EXISTS timesheets;
CREATE DATABASE IF NOT EXISTS timesheets;
USE timesheets;
SELECT 'CREATING DATABASE STRUCTURE' as 'INFO';
DROP TABLE IF EXISTS company,
job,
timesheet,
phase,
employee,
class,
hours;
CREATE TABLE company (
company_no TINYINT NOT NULL,
PRIMARY KEY (company_no)
);
CREATE TABLE job (
company_no TINYINT NOT NULL,
job_id INT UNSIGNED NOT NULL AUTO_INCREMENT,
job_code VARCHAR(10) NOT NULL,
PRIMARY KEY (job_id),
UNIQUE KEY (company_no,job_code)
);
CREATE TABLE timesheet (
job_id INT NOT NULL,
timesheet_id INT UNSIGNED NOT NULL AUTO_INCREMENT,
timesheet_date DATE NOT NULL,
craft_code VARCHAR(10) NOT NULL,
weather VARCHAR(50),
temperature VARCHAR(20),
PRIMARY KEY (timesheet_id),
UNIQUE KEY (job_id,timesheet_date,craft_code)
);
CREATE TABLE phase (
timesheet_id INT NOT NULL,
phase_id INT UNSIGNED NOT NULL AUTO_INCREMENT,
phase_code VARCHAR(20) NOT NULL,
phase_note VARCHAR(100),
PRIMARY KEY (phase_id),
UNIQUE KEY (timesheet_id,phase_code,phase_note)
);
CREATE TABLE employee (
timesheet_id INT NOT NULL,
employee_id INT UNSIGNED NOT NULL AUTO_INCREMENT,
employee_code VARCHAR(11) NOT NULL,
employee_note VARCHAR(100),
PRIMARY KEY (employee_id),
UNIQUE KEY (timesheet_id,employee_code,employee_note)
);
CREATE TABLE class (
employee_id INT NOT NULL,
class_id INT UNSIGNED NOT NULL AUTO_INCREMENT,
class_code VARCHAR(10) NOT NULL,
class_note VARCHAR(100),
equipment_code VARCHAR(10),
equipment_note VARCHAR(100),
PRIMARY KEY (class_id),
UNIQUE KEY (employee_id,class_code,class_note,equipment_code,equipment_note)
);
CREATE TABLE hours (
phase_id INT NOT NULL,
class_id INT NOT NULL,
labor_hours DECIMAL(4,2) NOT NULL,
equipment_hours DECIMAL(4,2),
PRIMARY KEY (phase_id,class_id)
);
|
<reponame>Next-DataEngineering/Covid-19<filename>InsertQueries.sql
insert into NextDataEngineering.Situacao(id, descricao)
Values (1, "saudável");
insert into NextDataEngineering.Situacao(id, descricao)
Values (2, "suspeito");
insert into NextDataEngineering.Situacao(id, descricao)
Values (3, "confirmado");
insert into NextDataEngineering.Situacao(id, descricao)
Values (4, "curado");
insert into NextDataEngineering.Pessoa (id, Pessoa, situacao_id)
Values (UUID(), "Ricardo", 1);
insert into NextDataEngineering.HistoricoSituacao (pessoa_id, Data, situacao_id)
Values ("fe60e973-8020-11ea-a785-00ad52ab6669", current_date(), 1);
|
CREATE TABLE IF NOT EXISTS class_groups(
id BIGINT AUTO_INCREMENT,
name VARCHAR(256) NOT NULL,
total_number_of_classes INT NOT NULL,
PRIMARY KEY (id)
);
CREATE TABLE IF NOT EXISTS students(
id BIGINT AUTO_INCREMENT,
firstname VARCHAR(256) NOT NULL,
lastname VARCHAR(256) NOT NULL,
index_number VARCHAR(8) NOT NULL,
student_card_code VARCHAR(16) NOT NULL,
PRIMARY KEY (id)
);
CREATE TABLE IF NOT EXISTS subjects(
id BIGINT AUTO_INCREMENT,
name VARCHAR(256) NOT NULL,
code VARCHAR(16) NOT NULL,
PRIMARY KEY (id)
);
CREATE TABLE IF NOT EXISTS groups_subjects(
group_id BIGINT NOT NULL,
subject_id BIGINT NOT NULL,
FOREIGN KEY (group_id) REFERENCES class_groups(id),
FOREIGN KEY (subject_id) REFERENCES subjects(id)
);
CREATE TABLE IF NOT EXISTS groups_students(
group_id BIGINT NOT NULL,
student_id BIGINT NOT NULL,
FOREIGN KEY (group_id) REFERENCES class_groups(id),
FOREIGN KEY (student_id) REFERENCES students(id)
);
CREATE TABLE IF NOT EXISTS attendance_lists(
id BIGINT AUTO_INCREMENT,
group_id BIGINT NOT NULL,
PRIMARY KEY (id),
FOREIGN KEY (group_id) REFERENCES class_groups(id)
);
CREATE TABLE IF NOT EXISTS presences(
id BIGINT AUTO_INCREMENT,
attendance_list_id BIGINT NOT NULL,
class_date DATE NOT NULL,
class_number INT NOT NULL,
status VARCHAR(16) NOT NULL,
PRIMARY KEY (id),
FOREIGN KEY (attendance_list_id) REFERENCES attendance_lists(id)
);
|
<reponame>win0err/solutions<filename>leetcode/databases/big-countries.sql<gh_stars>0
select
name,
population,
area
from
World
where
area > 3000000
or population > 25000000
;
|
<gh_stars>1-10
create index tag_index on test_gin using gin(tags)
|
create function userinfo(param json) returns json
language plpgsql
as
$$
declare
_email text;
_perfil int;
_info json;
begin
_email := param ->> 'email';
_perfil := perfil from basic_auth.users where email = _email;
_info := row_to_json(info)
from (
select usuario.informacoes, autorizacao.autorizacoes
from (
SELECT row_to_json(u) as informacoes
from (
select email, users.id, filedate, users.nome, avatar, unidade, perfil as id_perfil, perfil.nome as perfil
FROM basic_auth.users
join basic_auth.perfil on users.perfil = perfil.id
where email = _email
) as u
) as usuario,
(
SELECT array_to_json(array_agg(row_to_json(autorizacao))) AS autorizacoes
FROM basic_auth.autorizacao
where perfil = _perfil
and visualizar = true
) as autorizacao
) as info;
return _info;
end
$$;
alter function userinfo(json) owner to postgres;
|
<filename>resources/inventoryModel/nivel0/nivel1/nivel2/nivel3/nivel4/eq_anticipos.sql
CREATE OR REPLACE VIEW eq_anticipos
AS select eq_personal.*,
cabeanti.numeanti anticipo_num,
cabeanti.codianti anticipo_cod,
cabeanti.descanti anticipo_des,
cabeanti.capianti capital_concedido,
case when cabeanti.tipocalc = 'C' then 'Por cuota'
when cabeanti.tipocalc = 'I' then 'Por importe'
end anticipo_tipo,
cabeanti.impocuot impcuota_inicial,
cabeanti.numecuot numero_cuotas,
to_date(cabeanti.fechanti,'DD/MM/YYYY') fecha_concesion,
to_char(cabeanti.fechanti,'MM') mes_concesion,
to_char(cabeanti.fechanti,'YYYY') anio_concesion,
to_date(cabeanti.fechprim,'DD/MM/YYYY') fecha_primera_cuota,
to_date(cabeanti.fechfini,'DD/MM/YYYY') fecha_ultima_cuota,
to_date(cabeanti.fechcanc,'DD/MM/YYYY') fecha_cancelacion,
to_char(cabeanti.fechcanc,'MM') mes_cancelacion,
to_char(cabeanti.fechcanc,'YYYY') anio_cancelacion,
cabeanti.codiconc concepto_cod,
concepto.descconc concepto_des,
desganti.anio,
desganti.mes,
desganti.codipaga paga_cod,
desganti.numecuot cuota_numero,
desganti.pagado,
desganti.impoamor amortizado,
desganti.impopdt2 pendiente,
desganti.impocuot importe_cuota
from eq_personal, cabeanti, concepto, desganti
where eq_personal.entidad_cod = cabeanti.codienti
and eq_personal.empleado_cod = cabeanti.codiempl
and cabeanti.codiconc = concepto.codiconc
and desganti.codienti = cabeanti.codienti
and desganti.codiempl = cabeanti.codiempl
and desganti.numeanti = cabeanti.numeanti
|
<gh_stars>1-10
CREATE FUNCTION [changelog].[TableComponents](
@schema nvarchar(50),
@name nvarchar(100)
) RETURNS @results TABLE (
[Type] nvarchar(50) NOT NULL, -- column, index, FK, index or FK col, check
[Parent] nvarchar(50) NULL, -- container object within the table, or null for the table itself
[Name] nvarchar(100) NOT NULL, -- name of column, index, or constraint
[Position] int NULL, -- ordinal position of element
[Definition] xml NOT NULL
) AS
BEGIN
DECLARE @objectId int
SET @objectId = OBJECT_ID(@schema + '.' + @name)
-- columns
INSERT INTO @results (
[Type], [Name], [Position], [Definition]
) SELECT
'Column', [col].[name], [col].[column_id],
'<type>' + TYPE_NAME([col].[system_type_id]) + '</type>' +
'<length>' + CONVERT(varchar, [col].[max_length]) + '</length>' +
'<precision>' + CONVERT(varchar, [col].[precision]) + '</precision>' +
'<scale>' + CONVERT(varchar, [col].[scale]) + '</scale>' +
'<collation>' + ISNULL([col].[collation_name], '') + '</collation>' +
'<nullable>' + CASE [col].[is_nullable] WHEN 1 THEN 'true' ELSE 'false' END + '</nullable>' +
'<identity>' + CASE [col].[is_identity] WHEN 1 THEN 'true' ELSE 'false' END + '</identity>' +
'<computed>' + CASE [col].[is_computed] WHEN 1 THEN 'true' ELSE 'false' END + '</computed>' +
'<expression>' + ISNULL([ccol].[definition], '') + '</expression>' +
'<default>' + ISNULL([def].[definition], '') + '</default>'
FROM [sys].[columns] [col]
LEFT JOIN [sys].[computed_columns] [ccol] ON
[col].[object_id]=[ccol].[object_id] AND
[col].[name]=[ccol].[name]
LEFT JOIN [sys].[default_constraints] [def] ON
[col].[object_id]=[def].[parent_object_id] AND
[col].[column_id]=[def].[parent_column_id]
WHERE
[col].[object_id]=@objectId AND
[col].[Name] IS NOT NULL
-- indexes
INSERT INTO @results (
[Type], [Name], [Position], [Definition]
) SELECT
'Index', [ndx].[name], [ndx].[index_id],
'<type>' + CASE [ndx].[type] WHEN 1 THEN 'clustered' ELSE 'non-clustered' END + '</type>' +
'<unique>' + CASE [ndx].[is_unique] WHEN 1 THEN 'true' ELSE 'false' END + '</unique>' +
'<ignoreDups>' + CASE [ndx].[ignore_dup_key] WHEN 1 THEN 'true' ELSE 'false' END + '</ignoreDups>' +
'<primary>' + CASE [ndx].[is_primary_key] WHEN 1 THEN 'true' ELSE 'false' END + '</primary>' +
'<uniqueConstraint>' + CASE [ndx].[is_unique_constraint] WHEN 1 THEN 'true' ELSE 'false' END + '</uniqueConstraint>' +
'<disabled>' + CASE [ndx].[is_disabled] WHEN 1 THEN 'true' ELSE 'false' END + '</disabled>' +
'<padded>' + CASE [ndx].[is_padded] WHEN 1 THEN 'true' ELSE 'false' END + '</padded>' +
'<fillFactor>' + CONVERT(varchar, [ndx].[fill_factor]) + '</fillFactor>' +
'<filter>' + ISNULL([ndx].[filter_definition], '') + '</filter>'
FROM
[sys].[indexes] [ndx]
WHERE
[ndx].[object_id]=@objectId AND
[ndx].[Name] IS NOT NULL
-- index columns
INSERT INTO @results (
[Type], [Name], [Parent], [Position], [Definition]
) SELECT
'IndexColumn', [col].[name], [x].[name], [xcol].[index_column_id],
'<sort>' + CASE [xcol].[is_descending_key] WHEN 1 THEN 'DESC' ELSE 'ASC' END + '</sort>' +
'<included>' + CASE [xcol].[is_included_column] WHEN 1 THEN 'true' ELSE 'false' END + '</included>'
FROM
[sys].[index_columns] [xcol]
INNER JOIN [sys].[indexes] [x] ON
[xcol].[object_id]=[x].[object_id] AND
[xcol].[index_id]=[x].[index_id]
INNER JOIN [sys].[columns] [col] ON
[xcol].[object_id]=[col].[object_id] AND
[xcol].[column_id]=[col].[column_id]
INNER JOIN [sys].[tables] [t] ON [x].[object_id]=[t].[object_id]
WHERE
[x].[object_id]=@objectId
-- foreign keys
INSERT INTO @results (
[Name], [Type], [Definition]
) SELECT
[fk].[name], 'ForeignKey',
'<referencedSchema>' + SCHEMA_NAME([ref_t].[schema_id]) + '</referencedSchema>' +
'<referencedTable>' + [ref_t].[name] + '</referencedTable>' +
'<cascadeDelete>' + CASE [fk].[delete_referential_action] WHEN 1 THEN 'true' ELSE 'false' END + '</cascadeDelete>' +
'<cascadeUpdate>' + CASE [fk].[update_referential_action] WHEN 1 THEN 'true' ELSE 'false' END + '</cascadeUpdate>'
FROM
[sys].[foreign_keys] [fk]
INNER JOIN [sys].[tables] [ref_t] ON [fk].[referenced_object_id]=[ref_t].[object_id]
INNER JOIN [sys].[tables] [child_t] ON [fk].[parent_object_id]=[child_t].[object_id]
WHERE
[fk].[parent_object_id]=@objectId
-- fk columns
INSERT INTO @results (
[Type], [Name], [Parent], [Position], [Definition]
) SELECT
'ForeignKeyColumn', [child_col].[name], [fk].[name], [fkcol].[constraint_column_id],
'<referencedColumn>' + [ref_col].[name] + '</referencedColumn>'
FROM
[sys].[foreign_key_columns] [fkcol]
INNER JOIN [sys].[foreign_keys] [fk] ON [fkcol].[constraint_object_id]=[fk].[object_id]
INNER JOIN [sys].[tables] [child_t] ON [fkcol].[parent_object_id]=[child_t].[object_id]
INNER JOIN [sys].[columns] [child_col] ON
[child_t].[object_id]=[child_col].[object_id] AND
[fkcol].[parent_column_id]=[child_col].[column_id]
INNER JOIN [sys].[tables] [ref_t] ON [fkcol].[referenced_object_id]=[ref_t].[object_id]
INNER JOIN [sys].[columns] [ref_col] ON
[ref_t].[object_id]=[ref_col].[object_id] AND
[fkcol].[referenced_column_id]=[ref_col].[column_id]
WHERE
[fk].[parent_object_id]=@objectId
-- check constraints
INSERT INTO @results (
[Type], [Name], [Definition]
) SELECT
'CheckConstraint', [ck].[name] AS [Name],
'<expression>' + [ck].[definition] + '</expression>'
FROM
[sys].[check_constraints] [ck]
WHERE
[ck].[parent_object_id]=@objectId AND
[ck].[type]='C'
RETURN
END
|
-- misc1.test
--
-- execsql {SELECT sum((one)), (two), (four) FROM agger
-- GROUP BY (two), (four) ORDER BY sum(one) desc}
SELECT sum((one)), (two), (four) FROM agger
GROUP BY (two), (four) ORDER BY sum(one) desc
|
<filename>wp-content/uploads/revisr-backups/revisr_dseo_rg_form.sql
/*!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 */;
DROP TABLE IF EXISTS `dseo_rg_form`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `dseo_rg_form` (
`id` mediumint(8) unsigned NOT NULL AUTO_INCREMENT,
`title` varchar(150) COLLATE utf8mb4_unicode_ci NOT NULL,
`date_created` datetime NOT NULL,
`is_active` tinyint(1) NOT NULL DEFAULT '1',
`is_trash` tinyint(1) NOT NULL DEFAULT '0',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
/*!40101 SET character_set_client = @saved_cs_client */;
LOCK TABLES `dseo_rg_form` WRITE;
/*!40000 ALTER TABLE `dseo_rg_form` DISABLE KEYS */;
INSERT INTO `dseo_rg_form` VALUES (1,'Contact Ian','2016-06-22 15:03:47',1,0);
/*!40000 ALTER TABLE `dseo_rg_form` 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 */;
|
-- --------------------------------------------------------
-- 主机: 127.0.0.1
-- 服务器版本: 5.7.20 - MySQL Community Server (GPL)
-- 服务器操作系统: Win64
-- HeidiSQL 版本: 9.5.0.5196
-- --------------------------------------------------------
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET NAMES utf8 */;
/*!50503 SET NAMES utf8mb4 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
-- 导出 school 的数据库结构
CREATE DATABASE IF NOT EXISTS `school` /*!40100 DEFAULT CHARACTER SET utf8 */;
USE `school`;
-- 导出 表 school.aust_class 结构
CREATE TABLE IF NOT EXISTS `aust_class` (
`id` int(11) NOT NULL COMMENT 'id',
`period` int(11) NOT NULL COMMENT '届',
`grade` int(11) NOT NULL COMMENT '年级',
`no` int(11) NOT NULL COMMENT '班级号',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='班级';
-- 正在导出表 school.aust_class 的数据：~1 rows (大约)
/*!40000 ALTER TABLE `aust_class` DISABLE KEYS */;
INSERT INTO `aust_class` (`id`, `period`, `grade`, `no`) VALUES
(1111, 0, 11, 11);
/*!40000 ALTER TABLE `aust_class` ENABLE KEYS */;
-- 导出 表 school.aust_class_teacher 结构
CREATE TABLE IF NOT EXISTS `aust_class_teacher` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`class_id` int(11) DEFAULT NULL,
`teacher_id` int(11) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8 COMMENT='班级-教师';
-- 正在导出表 school.aust_class_teacher 的数据：~2 rows (大约)
/*!40000 ALTER TABLE `aust_class_teacher` DISABLE KEYS */;
INSERT INTO `aust_class_teacher` (`id`, `class_id`, `teacher_id`) VALUES
(1, 1111, 1),
(2, 1111, 2);
/*!40000 ALTER TABLE `aust_class_teacher` ENABLE KEYS */;
-- 导出 表 school.aust_course 结构
CREATE TABLE IF NOT EXISTS `aust_course` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '课程编号',
`name` varchar(8) DEFAULT NULL COMMENT '课程名',
`credit` tinyint(4) DEFAULT NULL COMMENT '学分',
`hours` tinyint(4) DEFAULT NULL COMMENT '学时',
`description` varchar(10) DEFAULT NULL COMMENT '描述',
`create_at` datetime DEFAULT NULL COMMENT '创建时间',
`update_at` datetime DEFAULT NULL COMMENT '更新时间',
`create_by` varchar(10) DEFAULT NULL COMMENT '创建人',
`update_by` varchar(10) DEFAULT NULL COMMENT '更新人',
`remark` varchar(10) DEFAULT NULL,
`flag` bit(1) DEFAULT NULL COMMENT '逻辑删除',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='课程';
-- 正在导出表 school.aust_course 的数据：~0 rows (大约)
/*!40000 ALTER TABLE `aust_course` DISABLE KEYS */;
/*!40000 ALTER TABLE `aust_course` ENABLE KEYS */;
-- 导出 表 school.aust_sc 结构
CREATE TABLE IF NOT EXISTS `aust_sc` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '选课编号',
`student_id` int(11) NOT NULL DEFAULT '0' COMMENT '学生编号',
`course_id` int(11) NOT NULL DEFAULT '0' COMMENT '课程编号',
`teacher_id` int(11) NOT NULL DEFAULT '0' COMMENT '教师编号',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='选课';
-- 正在导出表 school.aust_sc 的数据：~0 rows (大约)
/*!40000 ALTER TABLE `aust_sc` DISABLE KEYS */;
/*!40000 ALTER TABLE `aust_sc` ENABLE KEYS */;
-- 导出 表 school.aust_student 结构
CREATE TABLE IF NOT EXISTS `aust_student` (
`id` int(12) unsigned NOT NULL AUTO_INCREMENT COMMENT '学号',
`name` varchar(20) DEFAULT NULL COMMENT '姓名',
`age` tinyint(3) unsigned DEFAULT NULL COMMENT '年龄',
`gender` char(50) DEFAULT NULL COMMENT '性别',
`class_id` int(11) DEFAULT NULL COMMENT '班级ID',
`address` varchar(50) DEFAULT NULL COMMENT '住址',
`create_at` timestamp NULL DEFAULT NULL COMMENT '创建日期',
`update_at` timestamp NULL DEFAULT NULL COMMENT '更新日期',
`create_by` varchar(50) DEFAULT NULL,
`update_by` varchar(50) DEFAULT NULL,
`is_delete` bit(1) DEFAULT NULL COMMENT '逻辑删除1-删除0-未删除',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8 COMMENT='学生';
-- 正在导出表 school.aust_student 的数据：~1 rows (大约)
/*!40000 ALTER TABLE `aust_student` DISABLE KEYS */;
INSERT INTO `aust_student` (`id`, `name`, `age`, `gender`, `class_id`, `address`, `create_at`, `update_at`, `create_by`, `update_by`, `is_delete`) VALUES
(1, 'zhan', 20, 'man', 1111, NULL, '2018-12-20 16:09:33', NULL, NULL, NULL, b'0'),
(2, 'liu', 22, 'man', 1111, NULL, '2018-12-20 16:09:33', NULL, NULL, NULL, b'0');
/*!40000 ALTER TABLE `aust_student` ENABLE KEYS */;
-- 导出 表 school.aust_teacher 结构
CREATE TABLE IF NOT EXISTS `aust_teacher` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(8) DEFAULT NULL,
`age` int(11) DEFAULT '0',
`gender` tinyint(4) DEFAULT NULL COMMENT '0-女，1-男',
`create_by` varchar(50) DEFAULT NULL,
`update_by` varchar(50) DEFAULT NULL,
`create_at` datetime DEFAULT CURRENT_TIMESTAMP,
`update_at` datetime DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`remark` varchar(50) DEFAULT NULL,
`flag` int(11) DEFAULT '0',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8 COMMENT='教师';
-- 正在导出表 school.aust_teacher 的数据：~4 rows (大约)
/*!40000 ALTER TABLE `aust_teacher` DISABLE KEYS */;
INSERT INTO `aust_teacher` (`id`, `name`, `age`, `gender`, `create_by`, `update_by`, `create_at`, `update_at`, `remark`, `flag`) VALUES
(1, 'test', 0, NULL, NULL, NULL, '2019-03-21 10:37:26', '2019-03-21 10:37:26', NULL, 0),
(2, 'abc', 0, NULL, NULL, NULL, '2019-03-21 10:37:26', '2019-03-21 10:37:26', NULL, 0),
(3, 'abc', 0, NULL, NULL, NULL, '2019-03-21 10:37:26', '2019-03-21 10:37:26', NULL, 0),
(4, 'bob', 0, NULL, NULL, NULL, '2019-03-21 10:37:26', '2019-03-21 10:37:26', NULL, 0);
/*!40000 ALTER TABLE `aust_teacher` ENABLE KEYS */;
-- 导出 表 school.sys_menu 结构
CREATE TABLE IF NOT EXISTS `sys_menu` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`code` char(10) DEFAULT NULL,
`name` varchar(20) DEFAULT NULL,
`description` varchar(20) DEFAULT NULL,
`parent_id` int(11) DEFAULT NULL,
`create_by` varchar(50) DEFAULT NULL,
`update_by` varchar(50) DEFAULT NULL,
`create_at` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
`update_at` timestamp NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`remark` varchar(50) DEFAULT NULL,
`flag` int(11) DEFAULT '0',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='菜单';
-- 正在导出表 school.sys_menu 的数据：~0 rows (大约)
/*!40000 ALTER TABLE `sys_menu` DISABLE KEYS */;
/*!40000 ALTER TABLE `sys_menu` ENABLE KEYS */;
-- 导出 表 school.sys_permission 结构
CREATE TABLE IF NOT EXISTS `sys_permission` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(50) DEFAULT NULL,
`description` varchar(50) DEFAULT NULL,
`create_by` varchar(50) DEFAULT NULL,
`update_by` varchar(50) DEFAULT NULL,
`create_at` datetime DEFAULT CURRENT_TIMESTAMP,
`update_at` datetime DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`remark` varchar(50) DEFAULT NULL,
`flag` varchar(50) DEFAULT '1' COMMENT '0-禁用，1-启用',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=6 DEFAULT CHARSET=utf8 COMMENT='权限表';
-- 正在导出表 school.sys_permission 的数据：~4 rows (大约)
/*!40000 ALTER TABLE `sys_permission` DISABLE KEYS */;
INSERT INTO `sys_permission` (`id`, `name`, `description`, `create_by`, `update_by`, `create_at`, `update_at`, `remark`, `flag`) VALUES
(1, 'create', NULL, NULL, NULL, '2019-03-21 10:44:26', '2019-03-21 10:46:10', NULL, '1'),
(2, 'delete', NULL, NULL, NULL, '2019-03-21 10:44:36', '2019-03-21 10:46:11', NULL, '1'),
(3, 'update', NULL, NULL, NULL, '2019-03-21 10:44:56', '2019-03-21 10:46:12', NULL, '1'),
(4, 'search', NULL, NULL, NULL, '2019-03-21 10:45:11', '2019-03-21 10:46:13', NULL, '1'),
(5, 'test', NULL, NULL, NULL, '2019-03-21 16:04:14', '2019-03-21 16:04:14', NULL, '1');
/*!40000 ALTER TABLE `sys_permission` ENABLE KEYS */;
-- 导出 表 school.sys_role 结构
CREATE TABLE IF NOT EXISTS `sys_role` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(50) DEFAULT NULL,
`create_by` varchar(50) DEFAULT NULL,
`update_by` varchar(50) DEFAULT NULL,
`create_at` datetime DEFAULT CURRENT_TIMESTAMP,
`update_at` datetime DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`remark` varchar(50) DEFAULT NULL COMMENT '权限描述',
`flag` int(11) DEFAULT '1' COMMENT '0-禁用，1-启用',
PRIMARY KEY (`id`),
UNIQUE KEY `name` (`name`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8 COMMENT='角色表';
-- 正在导出表 school.sys_role 的数据：~4 rows (大约)
/*!40000 ALTER TABLE `sys_role` DISABLE KEYS */;
INSERT INTO `sys_role` (`id`, `name`, `create_by`, `update_by`, `create_at`, `update_at`, `remark`, `flag`) VALUES
(1, 'admin', NULL, NULL, '2019-03-21 10:45:42', '2019-03-21 10:45:42', NULL, 1),
(2, 'student', NULL, NULL, '2019-03-21 10:46:49', '2019-03-21 10:46:49', NULL, 1),
(3, 'teacher', NULL, NULL, '2019-03-21 10:47:20', '2019-03-21 10:47:20', NULL, 1),
(4, 'manager', NULL, NULL, '2019-03-21 10:47:32', '2019-03-21 10:47:32', NULL, 1);
/*!40000 ALTER TABLE `sys_role` ENABLE KEYS */;
-- 导出 表 school.sys_role_permission 结构
CREATE TABLE IF NOT EXISTS `sys_role_permission` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`role_id` int(11) NOT NULL DEFAULT '0',
`permission_id` int(11) NOT NULL DEFAULT '0',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=9 DEFAULT CHARSET=utf8 COMMENT='角色-权限';
-- 正在导出表 school.sys_role_permission 的数据：~7 rows (大约)
/*!40000 ALTER TABLE `sys_role_permission` DISABLE KEYS */;
INSERT INTO `sys_role_permission` (`id`, `role_id`, `permission_id`) VALUES
(1, 1, 1),
(2, 1, 2),
(3, 1, 3),
(4, 1, 4),
(5, 2, 4),
(6, 3, 1),
(7, 3, 4),
(8, 1, 5);
/*!40000 ALTER TABLE `sys_role_permission` ENABLE KEYS */;
-- 导出 表 school.sys_user 结构
CREATE TABLE IF NOT EXISTS `sys_user` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`login_name` varchar(50) NOT NULL COMMENT '登录名',
`nick_name` varchar(50) NOT NULL,
`password` varchar(50) NOT NULL,
`create_by` varchar(50) DEFAULT NULL,
`update_by` varchar(50) DEFAULT NULL,
`create_at` datetime DEFAULT CURRENT_TIMESTAMP,
`update_at` datetime DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`remark` varchar(50) DEFAULT NULL COMMENT '备注',
`flag` int(11) DEFAULT '1' COMMENT '0-禁用，1-启用',
PRIMARY KEY (`id`),
UNIQUE KEY `login_name` (`login_name`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8 COMMENT='用户表';
-- 正在导出表 school.sys_user 的数据：~3 rows (大约)
/*!40000 ALTER TABLE `sys_user` DISABLE KEYS */;
INSERT INTO `sys_user` (`id`, `login_name`, `nick_name`, `password`, `create_by`, `update_by`, `create_at`, `update_at`, `remark`, `flag`) VALUES
(1, 'ASDFG123', 'zhangsan', '123456', NULL, NULL, '2019-03-19 15:23:03', '2019-03-21 10:50:23', NULL, 1),
(2, 'ASDFG234', 'teacherwu', '234567', NULL, NULL, '2019-03-21 10:50:56', '2019-03-21 10:50:56', NULL, 1),
(3, 'lc', 'lc', '123456', NULL, NULL, '2019-03-21 10:52:31', '2019-03-21 10:52:31', NULL, 1);
/*!40000 ALTER TABLE `sys_user` ENABLE KEYS */;
-- 导出 表 school.sys_user_role 结构
CREATE TABLE IF NOT EXISTS `sys_user_role` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`user_id` int(11) NOT NULL,
`role_id` int(11) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8 COMMENT='用户-角色表';
-- 正在导出表 school.sys_user_role 的数据：~3 rows (大约)
/*!40000 ALTER TABLE `sys_user_role` DISABLE KEYS */;
INSERT INTO `sys_user_role` (`id`, `user_id`, `role_id`) VALUES
(1, 1, 5),
(2, 2, 3),
(3, 3, 1);
/*!40000 ALTER TABLE `sys_user_role` ENABLE KEYS */;
/*!40101 SET SQL_MODE=IFNULL(@OLD_SQL_MODE, '') */;
/*!40014 SET FOREIGN_KEY_CHECKS=IF(@OLD_FOREIGN_KEY_CHECKS IS NULL, 1, @OLD_FOREIGN_KEY_CHECKS) */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
|
--------------------------------------------------------
-- File created - Thursday-March-01-2012
--------------------------------------------------------
REM INSERTING into EVENT_MESSAGETYPE
Insert into CTUSR.EVENT_MESSAGETYPE (EVENTMESSAGETYPE_ID,EVENTMESSAGETYPE_NAME) values (1,'Not Started');
Insert into CTUSR.EVENT_MESSAGETYPE (EVENTMESSAGETYPE_ID,EVENTMESSAGETYPE_NAME) values (2,'In Progress');
Insert into CTUSR.EVENT_MESSAGETYPE (EVENTMESSAGETYPE_ID,EVENTMESSAGETYPE_NAME) values (3,'Successfully Completed');
Insert into CTUSR.EVENT_MESSAGETYPE (EVENTMESSAGETYPE_ID,EVENTMESSAGETYPE_NAME) values (4,'Non-Critical Error');
Insert into CTUSR.EVENT_MESSAGETYPE (EVENTMESSAGETYPE_ID,EVENTMESSAGETYPE_NAME) values (5,'Critical Error');
|
<gh_stars>0
library BladderStimulators version '1'
using QDM
//include otherLibrary version 'x.x' called otherLibrary
//codesystem codeSystemName : 'OID' version 'x.x'
//valueset valuesetName : 'OID' version 'x.x' codesystems{codeSystem1 , codeSystem2, etc}
//code codeName : 'OID' from codeSystemName display 'displayName'
//concept conceptName : {codeName1, codeName2, etc} display 'displayName'
//parameter parameterName (dataType or default value)
define "Coverage":
false
|
SET NAMES utf8;
-- SET FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Table structure for permission
-- ----------------------------
DROP TABLE IF EXISTS `permission`;
CREATE TABLE `permission` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`ptype` int(20) DEFAULT NULL COMMENT '权限类型',
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '权限表' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for role
-- ----------------------------
DROP TABLE IF EXISTS `role`;
CREATE TABLE `role` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(20) DEFAULT NULL COMMENT '角色名称',
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '角色表' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for role_premission
-- ----------------------------
DROP TABLE IF EXISTS `role_premission`;
CREATE TABLE `role_premission` (
`role_id` int(11) NULL DEFAULT NULL,
`permission_id` int(11) NULL DEFAULT NULL,
INDEX `role_premission_uid_fk`(`role_id`) USING BTREE,
INDEX `role_premission_pid_fk`(`permission_id`) USING BTREE,
CONSTRAINT `role_premission_pid_fk` FOREIGN KEY (`permission_id`) REFERENCES `permission` (`id`) ON DELETE RESTRICT ON UPDATE RESTRICT,
CONSTRAINT `role_premission_uid_fk` FOREIGN KEY (`role_id`) REFERENCES `role` (`id`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for user
-- ----------------------------
DROP TABLE IF EXISTS `user`;
CREATE TABLE `user` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`username` varchar(20) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '用户名',
`password` varchar(50) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '密码',
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '用户表' ROW_FORMAT = Dynamic;
-- ----------------------------
-- Table structure for user_role
-- ----------------------------
DROP TABLE IF EXISTS `user_role`;
CREATE TABLE `user_role` (
`user_id` int(11) NULL DEFAULT NULL,
`role_id` int(11) NULL DEFAULT NULL,
INDEX `user_role_uid_fk`(`user_id`) USING BTREE,
INDEX `user_role_rid_fk`(`role_id`) USING BTREE,
CONSTRAINT `user_role_rid_fk` FOREIGN KEY (`role_id`) REFERENCES `role` (`id`) ON DELETE RESTRICT ON UPDATE RESTRICT,
CONSTRAINT `user_role_uid_fk` FOREIGN KEY (`user_id`) REFERENCES `user` (`id`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '用户角色表' ROW_FORMAT = Dynamic;
SET FOREIGN_KEY_CHECKS = 1;
|
/*
SQLyog Community v13.1.6 (64 bit)
MySQL - 5.7.31 : Database - blade_taobao
*********************************************************************
*/
/*!40101 SET NAMES utf8 */;
/*!40101 SET SQL_MODE=''*/;
/*!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 */;
CREATE DATABASE /*!32312 IF NOT EXISTS*/`blade_taobao` /*!40100 DEFAULT CHARACTER SET utf8mb4 */;
USE `blade_taobao`;
/*Table structure for table `blade_admin_account` */
DROP TABLE IF EXISTS `blade_admin_account`;
CREATE TABLE `blade_admin_account` (
`id` varchar(64) NOT NULL COMMENT '暂定UUID',
`account` varchar(254) NOT NULL COMMENT '平台帐号',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='平台帐号表';
/*Data for the table `blade_admin_account` */
/*Table structure for table `blade_order` */
DROP TABLE IF EXISTS `blade_order`;
CREATE TABLE `blade_order` (
`id` varchar(64) NOT NULL COMMENT '订单ID 暂定同步淘宝下拉',
`status` int(4) NOT NULL COMMENT '订单状态',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='订单表';
/*Data for the table `blade_order` */
/*Table structure for table `blade_rate` */
DROP TABLE IF EXISTS `blade_rate`;
CREATE TABLE `blade_rate` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '无意义自增ID',
`user_id` varchar(64) NOT NULL COMMENT '用户ID',
`rate` decimal(5,2) NOT NULL COMMENT '比率',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='比率表';
/*Data for the table `blade_rate` */
/*Table structure for table `blade_store_user_middle` */
DROP TABLE IF EXISTS `blade_store_user_middle`;
CREATE TABLE `blade_store_user_middle` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '无意义自增Id',
`user_id` varchar(64) NOT NULL COMMENT '工作人员Id',
`store_id` varchar(64) NOT NULL COMMENT '店铺ID',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='店铺关联表';
/*Data for the table `blade_store_user_middle` */
/*Table structure for table `blade_user` */
DROP TABLE IF EXISTS `blade_user`;
CREATE TABLE `blade_user` (
`id` varchar(64) NOT NULL COMMENT 'UUID64位对应用户基础表ID',
`phone` varchar(32) NOT NULL COMMENT '账号对应基础信息手机号',
`password` varchar(32) NOT NULL COMMENT '密码',
`role` int(4) NOT NULL COMMENT '角色-管理员-1 商家 2 工作人员 3',
`status` int(4) NOT NULL COMMENT '审核状态 1为不通过 -1 管理员 0待审 2 通过',
`create_date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '创建时间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='平台用户表';
/*Data for the table `blade_user` */
/*Table structure for table `blade_user_bash` */
DROP TABLE IF EXISTS `blade_user_bash`;
CREATE TABLE `blade_user_bash` (
`id` varchar(64) NOT NULL COMMENT 'UUID64位用户ID',
`user_name` varchar(32) NOT NULL COMMENT '用户姓名',
`user_sex` int(4) NOT NULL COMMENT '性别',
`user_age` int(4) NOT NULL COMMENT '年龄',
`education` varchar(32) NOT NULL COMMENT '学历',
`school` varchar(64) NOT NULL COMMENT '毕业院校',
`work_year` int(4) NOT NULL COMMENT '工作年限',
`resume_url` varchar(254) NOT NULL COMMENT '简历URL',
`address` varchar(254) NOT NULL COMMENT '居住地址',
`phone` varchar(32) NOT NULL COMMENT '手机号对应登录账号',
`alipay` varchar(64) NOT NULL COMMENT '支付宝账号用于后期提现',
`individual_resume` varchar(602) NOT NULL COMMENT '个人简介',
`identity_image_front` varchar(254) NOT NULL COMMENT '身份证正面',
`identity_image_verso` varchar(254) NOT NULL COMMENT '身份证反面',
`education_image` varchar(254) NOT NULL COMMENT '学历照片',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='平台工作人员基础信息表';
/*Data for the table `blade_user_bash` */
/*Table structure for table `blade_user_check` */
DROP TABLE IF EXISTS `blade_user_check`;
CREATE TABLE `blade_user_check` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '无意义自增主键',
`user_id` varchar(64) NOT NULL COMMENT '实际用户id',
`check_opinion` varchar(254) NOT NULL COMMENT '审核意见',
`create_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '发起时间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='审核意见表';
/*Data for the table `blade_user_check` */
/*Table structure for table `blade_user_store` */
DROP TABLE IF EXISTS `blade_user_store`;
CREATE TABLE `blade_user_store` (
`id` varchar(64) NOT NULL COMMENT 'UUID64位对应userId',
`store_name` varchar(64) NOT NULL COMMENT '店铺名称',
`store_human` varchar(32) NOT NULL COMMENT '店铺负责人',
`phone` varchar(32) NOT NULL COMMENT '手机号',
`address` varchar(64) NOT NULL COMMENT '地址',
`longitude` varchar(32) NOT NULL COMMENT '经度',
`latitude` varchar(32) NOT NULL COMMENT '维度',
`q_r_code` varchar(254) NOT NULL COMMENT '二维码',
`image` varchar(254) NOT NULL COMMENT '图片',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='店铺详细表';
/*Data for the table `blade_user_store` */
/*Table structure for table `blade_wallet` */
DROP TABLE IF EXISTS `blade_wallet`;
CREATE TABLE `blade_wallet` (
`id` varchar(64) NOT NULL COMMENT 'UUID64对应用户id',
`money` decimal(11,2) NOT NULL DEFAULT '0.00' COMMENT '钱',
`history_money_all` decimal(11,2) NOT NULL DEFAULT '0.00' COMMENT '历史总钱',
`conversion_money_all` decimal(11,2) NOT NULL DEFAULT '0.00' COMMENT '提现总钱',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='用户钱包';
/*Data for the table `blade_wallet` */
/*Table structure for table `blade_wallet_history` */
DROP TABLE IF EXISTS `blade_wallet_history`;
CREATE TABLE `blade_wallet_history` (
`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '自增无意义ID',
`user_id` varchar(64) NOT NULL COMMENT '用户ID',
`money_change` decimal(11,2) NOT NULL DEFAULT '0.00' COMMENT '变更金额',
`reason` int(4) NOT NULL COMMENT '什么原因改变暂定 0 分成加钱 1 提现',
`then_money` decimal(11,2) NOT NULL COMMENT '扣完钱后多少钱',
`create_time` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '扣钱时间',
`status` int(4) NOT NULL COMMENT '该钱状态是否成功之类',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='钱变动历史表';
/*Data for the table `blade_wallet_history` */
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
|
<gh_stars>1-10
--
-- Licensed to the Apache Software Foundation (ASF) under one
-- or more contributor license agreements. See the NOTICE file
-- distributed with this work for additional information
-- regarding copyright ownership. The ASF licenses this file
-- to you under the Apache License, Version 2.0 (the
-- "License"); you may not use this file except in compliance
-- with the License. You may obtain a copy of the License at
--
-- http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing,
-- software distributed under the License is distributed on an
-- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
-- KIND, either express or implied. See the License for the
-- specific language governing permissions and limitations
-- under the License.
--
delete anno_base
from anno_base
left join document
on anno_base.document_id = document.document_id
where document.document_id is null
;
delete anno_sentence
from anno_sentence
left join anno_base
on anno_base.anno_base_id = anno_sentence.anno_base_id
where anno_base.anno_base_id is null
;
delete anno_date
from anno_date
left join anno_base
on anno_base.anno_base_id = anno_date.anno_base_id
where anno_base.anno_base_id is null
;
delete anno_named_entity
from anno_named_entity
left join anno_base
on anno_base.anno_base_id = anno_named_entity.anno_base_id
where anno_base.anno_base_id is null
;
delete anno_source_doc_info
from anno_source_doc_info
left join anno_base
on anno_base.anno_base_id = anno_source_doc_info.anno_base_id
where anno_base.anno_base_id is null
;
delete anno_docdate
from anno_docdate
left join anno_base
on anno_base.anno_base_id = anno_docdate.anno_base_id
where anno_base.anno_base_id is null
;
delete anno_dockey
from anno_dockey
left join anno_base
on anno_base.anno_base_id = anno_dockey.anno_base_id
where anno_base.anno_base_id is null
;
delete anno_segment
from anno_segment
left join anno_base
on anno_base.anno_base_id = anno_segment.anno_base_id
where anno_base.anno_base_id is null
;
delete anno_num_token
from anno_num_token
left join anno_base
on anno_base.anno_base_id = anno_num_token.anno_base_id
where anno_base.anno_base_id is null
;
delete anno_ontology_concept
from anno_ontology_concept
left join anno_base
on anno_base.anno_base_id = anno_ontology_concept.anno_base_id
where anno_base.anno_base_id is null
;
delete anno_umls_concept
from anno_umls_concept
left join anno_ontology_concept
on anno_umls_concept.anno_ontology_concept_id = anno_ontology_concept.anno_ontology_concept_id
where anno_ontology_concept.anno_ontology_concept_id is null
;
delete anno_word_token
from anno_word_token
left join anno_base
on anno_base.anno_base_id = anno_word_token.anno_base_id
where anno_base.anno_base_id is null
;
|
<filename>spring-test/src/test/resources/org/springframework/test/context/jdbc/drop-schema.sql
DROP TABLE user IF EXISTS;
|
<reponame>sookeke/PSP<gh_stars>1-10
-- Drop primary key constraint dbo.TSKTMT_PK
PRINT N'Drop primary key constraint dbo.TSKTMT_PK'
GO
ALTER TABLE [dbo].[PIMS_TASK_TEMPLATE_TYPE]
DROP CONSTRAINT [TSKTMT_PK]
GO
IF @@ERROR <> 0 SET NOEXEC ON
GO
|
{#-
Future tests:
- Expect failure when missing arguments
-#}
{%- set test_cases =
[
{"input_object": metrics.period_over_period(alias='pop_constructor_named_args_manual_alias', comparison_strategy='difference', interval=1), "expected_alias": 'pop_constructor_named_args_manual_alias'},
{"input_object": metrics.period_over_period('ratio', 2, 'pop_constructor_positional_args_manual_alias'), "expected_alias": 'pop_constructor_positional_args_manual_alias'},
{"input_object": {"calculation": "period_over_period", "comparison_strategy": "difference", "interval": 3, "alias": "pop_object_manual_alias"}, "expected_alias": "pop_object_manual_alias"},
{"input_object": metrics.period_over_period(interval=4, comparison_strategy='difference'), "expected_alias": 'difference_to_4_fortnight_ago'},
{"input_object": metrics.period_over_period('ratio', 5), "expected_alias": 'ratio_to_5_fortnight_ago'},
{"input_object": {"calculation": "period_over_period", "comparison_strategy": "difference", "interval": 6}, "expected_alias": "difference_to_6_fortnight_ago"},
{"input_object": metrics.period_to_date(alias='ptd_constructor_named_args_manual_alias', aggregate='average', period="day"), "expected_alias": 'ptd_constructor_named_args_manual_alias'},
{"input_object": metrics.period_to_date('average', "week", 'ptd_constructor_positional_args_manual_alias'), "expected_alias": 'ptd_constructor_positional_args_manual_alias'},
{"input_object": {"calculation": "period_to_date", "aggregate": "average", "period": "month", "alias": "ptd_object_manual_alias"}, "expected_alias": "ptd_object_manual_alias"},
{"input_object": metrics.period_to_date(period="quarter", aggregate='average'), "expected_alias": 'average_for_quarter'},
{"input_object": metrics.period_to_date('average', 'year'), "expected_alias": 'average_for_year'},
{"input_object": {"calculation": "period_to_date", "aggregate": "min", "period": "week"}, "expected_alias": "min_for_week"},
{"input_object": metrics.rolling(alias='rolling_constructor_named_args_manual_alias', aggregate='min', interval=1), "expected_alias": 'rolling_constructor_named_args_manual_alias'},
{"input_object": metrics.rolling('min', 2, 'rolling_constructor_positional_args_manual_alias'), "expected_alias": 'rolling_constructor_positional_args_manual_alias'},
{"input_object": {"calculation": "rolling", "aggregate": "min", "interval": 3, "alias": "rolling_object_manual_alias"}, "expected_alias": "rolling_object_manual_alias"},
{"input_object": metrics.rolling(interval=4, aggregate='min'), "expected_alias": 'rolling_min_4_fortnight'},
{"input_object": metrics.rolling('min', 5), "expected_alias": 'rolling_min_5_fortnight'},
{"input_object": {"calculation": "rolling", "aggregate": "min", "interval": 6}, "expected_alias": "rolling_min_6_fortnight"},
]
-%}
with reality_vs_expectations as (
{%- for test_case in test_cases %}
select '{{ metrics.generate_secondary_calculation_alias(test_case["input_object"], "fortnight") }}' as generated_alias, '{{ test_case["expected_alias"] }}' as expected_alias
{% if not loop.last %}
union all
{% endif %}
{% endfor %}
)
select *
from reality_vs_expectations
where generated_alias != expected_alias
|
<filename>chat/migrations/2020-06-21-170415_create_notifications/down.sql
DROP TABLE notifications;
|
/******************************************************
NAME: SP_create_user_order
FUNCTION: Create new bookings
MySql > CALL SP_create_user_order(?,?,?,?,?,?,?,?)
FIRST CREATED: 20211117
UPDATED: 20211117
******************************************************/
USE cric_shop_api;
SELECT "Dropping PROCEDURE SP_create_user_order";
DROP PROCEDURE IF EXISTS SP_create_user_order;
SELECT "Creating PROCEDURE SP_create_user_order";
DELIMITER //
CREATE PROCEDURE SP_create_user_order(
IN user_id INTEGER,
IN product_price DECIMAL(10,2),
IN product_discount DECIMAL(10,2),
IN shipping_price DECIMAL(10,2),
IN shipping_discount DECIMAL(10,2),
IN price DECIMAL(10,2),
IN dicount DECIMAL(10,2),
IN price_after_discount DECIMAL(10,2)
)
BEGIN
INSERT INTO user_order(user_id,product_price,product_discount,shipping_price,shipping_discount,price,dicount,price_after_discount) VALUES
(user_id,product_price,product_discount,shipping_price,shipping_discount,price,dicount,price_after_discount);
SELECT LAST_INSERT_ID() AS order_id;
END //
DELIMITER ;
SELECT "PROCEDURE SP_create_user_order created successfully";
|
--------------------------------------------------------
-- DDL for Trigger BLOG_POST_UDS_TAGS_TRG
--------------------------------------------------------
CREATE OR REPLACE EDITIONABLE TRIGGER "BLOG_POST_UDS_TAGS_TRG"
after
update on blog_tags
for each row
declare
l_update boolean;
begin
l_update :=
case
when :new.tag_unique != :old.tag_unique
then true
when :new.is_active != :old.is_active
then true
else false
end
;
if l_update
then
update blog_post_uds t1
set dummy = dummy
where 1 = 1
and exists(
select 1
from blog_post_tags x1
where 1 = 1
and x1.post_id = t1.post_id
and x1.tag_id = :new.id
)
;
end if;
end;
/
|
DROP TABLE IF EXISTS `users`;
CREATE TABLE `users` (
`id` BIGINT(20) UNSIGNED NOT NULL PRIMARY KEY AUTO_INCREMENT,
`username` VARCHAR(20) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
INSERT INTO `users` (`username`) VALUES ('admin');
|
select distinct p.name from movies as m,stars as s, people as p where s.movie_id = m.id and s.person_id = p.id and m.year = 2004 order by p.birth;
|
CREATE MATERIALIZED VIEW gh_cost.cost_by_sector_us_annual_0919_110221 AS (
WITH sector_join AS (
SELECT slug, A.login, A.additions, A.deletions,
EXTRACT(YEAR FROM A.committed_date)::int AS year, B.company,
COALESCE(B.country, 'Missing') AS country,
COALESCE(B.organization, 'Missing') AS organization,
COALESCE(B.us_academic, 0) AS us_academic,
COALESCE(B.us_business, 0) AS us_business,
COALESCE(B.us_gov, 0) AS us_gov,
COALESCE(B.us_nonprofit, 0) AS us_nonprofit,
COALESCE(B.us_household, 0) AS us_household
FROM gh.commits_dd_nmrc_jbsc A
LEFT JOIN gh_cost.sectored_fractioned_103121 AS B
ON A.login = B.login
WHERE country = 'United States'
--LIMIT 10000
), sectored_additions AS (
SELECT slug, login, year, organization, country, additions,
(additions * us_academic) as academic_adds,
(additions * us_business) as business_adds,
(additions * us_gov) as gov_adds,
(additions * us_nonprofit) as nonprofit_adds,
(additions * us_household) as household_adds
FROM sector_join WHERE year > 2008 AND year < 2020
), with_other_adds AS (
SELECT slug, login, year, organization, country, additions,
academic_adds, business_adds, gov_adds, nonprofit_adds, household_adds,
(additions - (academic_adds+business_adds+gov_adds+nonprofit_adds+household_adds)) as other_adds
FROM sectored_additions
)
SELECT year,
SUM(academic_adds) AS us_academic_additions,
SUM(business_adds) AS us_business_additions,
SUM(gov_adds) AS us_gov_additions,
SUM(nonprofit_adds) AS us_nonprofit_additions,
SUM(household_adds) AS us_household_additions,
SUM(other_adds) AS us_nonsectored_additions,
SUM(additions) AS us_total_additions
FROM with_other_adds
GROUP BY year
ORDER BY year );
---
CREATE MATERIALIZED VIEW gh_cost.cost_by_sector_frgn_annual_0919_110221 AS (
WITH sector_join AS (
SELECT slug, A.login, A.additions, A.deletions,
EXTRACT(YEAR FROM A.committed_date)::int AS year, B.company,
COALESCE(B.country, 'Missing') AS country,
COALESCE(B.organization, 'Missing') AS organization,
COALESCE(B.us_academic, 0) AS us_academic,
COALESCE(B.us_business, 0) AS us_business,
COALESCE(B.us_gov, 0) AS us_gov,
COALESCE(B.us_nonprofit, 0) AS us_nonprofit,
COALESCE(B.us_household, 0) AS us_household
FROM gh.commits_dd_nmrc_jbsc A
LEFT JOIN gh_cost.sectored_fractioned_103121 AS B
ON A.login = B.login
WHERE country != 'United States' AND country != 'Missing'
--LIMIT 10000
), sectored_additions AS (
SELECT slug, login, year, organization, country, additions,
(additions * us_academic) as academic_adds,
(additions * us_business) as business_adds,
(additions * us_gov) as gov_adds,
(additions * us_nonprofit) as nonprofit_adds,
(additions * us_household) as household_adds
FROM sector_join WHERE year > 2008 AND year < 2020
), with_other_adds AS (
SELECT slug, login, year, organization, country, additions,
academic_adds, business_adds, gov_adds, nonprofit_adds, household_adds,
(additions - (academic_adds+business_adds+gov_adds+nonprofit_adds+household_adds)) as other_adds
FROM sectored_additions
)
SELECT year,
SUM(academic_adds) AS frgn_academic_additions,
SUM(business_adds) AS frgn_business_additions,
SUM(gov_adds) AS frgn_gov_additions,
SUM(nonprofit_adds) AS frgn_nonprofit_additions,
SUM(household_adds) AS frgn_household_additions,
SUM(other_adds) AS frgn_nonsectored_additions,
SUM(additions) AS frgn_total_additions
FROM with_other_adds
GROUP BY year
ORDER BY year );
---
CREATE MATERIALIZED VIEW gh_cost.cost_by_sector_na_annual_0919_110221 AS (
WITH sector_join AS (
SELECT slug, A.login, A.additions, A.deletions,
EXTRACT(YEAR FROM A.committed_date)::int AS year, B.company,
COALESCE(B.country, 'Missing') AS country,
COALESCE(B.organization, 'Missing') AS organization,
COALESCE(B.us_academic, 0) AS us_academic,
COALESCE(B.us_business, 0) AS us_business,
COALESCE(B.us_gov, 0) AS us_gov,
COALESCE(B.us_nonprofit, 0) AS us_nonprofit,
COALESCE(B.us_household, 0) AS us_household
FROM gh.commits_dd_nmrc_jbsc A
LEFT JOIN gh_cost.sectored_fractioned_103121 AS B
ON A.login = B.login
WHERE country == 'Missing'
--LIMIT 10000
), sectored_additions AS (
SELECT slug, login, year, organization, country, additions,
(additions * us_academic) as academic_adds,
(additions * us_business) as business_adds,
(additions * us_gov) as gov_adds,
(additions * us_nonprofit) as nonprofit_adds,
(additions * us_household) as household_adds
FROM sector_join WHERE year > 2008 AND year < 2020
), with_other_adds AS (
SELECT slug, login, year, organization, country, additions,
academic_adds, business_adds, gov_adds, nonprofit_adds, household_adds,
(additions - (academic_adds+business_adds+gov_adds+nonprofit_adds+household_adds)) as other_adds
FROM sectored_additions
)
SELECT year,
SUM(academic_adds) AS na_academic_additions,
SUM(business_adds) AS na_business_additions,
SUM(gov_adds) AS na_gov_additions,
SUM(nonprofit_adds) AS na_nonprofit_additions,
SUM(household_adds) AS na_household_additions,
SUM(other_adds) AS na_nonsectored_additions,
SUM(additions) AS na_total_additions
FROM with_other_adds
GROUP BY year
ORDER BY year );
|
<reponame>khandy21yo/aplus<filename>CMC030/tv/open/tv_commer_comment.ddl
DEFINE RECORD CDD$TOP.TV.TV_COMMER_COMMENT
DESCRIPTION IS /*TV Commercial Comments (Text Library)*/.
TV_COMMER_COMMENT_CDD STRUCTURE.
END TV_COMMER_COMMENT_CDD STRUCTURE.
END TV_COMMER_COMMENT.
|
ALTER SESSION SET CURRENT_SCHEMA = DOCKERWILDFLY;
drop table "DOCKERWILDFLY"."EXAMPLE_TABLE";
|
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