text stringlengths 6 9.38M |
|---|
--What's the most expensive listing?
SELECT
MAX(price) as the_most_expensive_listing
FROM
london_listings
--What else can you tell me about the listing?
SELECT
*
FROM
london_listings
WHERE
price >= 13700;
--What neighborhoods seem to be the most popular?
SELECT
COUNT(neighbourhood) as popularity,
neighbourhood
FROM
london_listings
GROUP BY
neighbourhood
ORDER BY
popularity DESC;
--What time of year is the cheapest time to go to your city
SELECT
c.date,
l.price,
MIN(l.price) as cheapest_price,
date_part('month', c.date) as month_of_year
FROM
clean_lond_cal c
JOIN
london_listings l
ON l.id = c.listing_id
WHERE
l.price >=5
GROUP BY 1,2
ORDER BY
cheapest_price, month_of_year ASC;
--What about the busiest?
SELECT
l.availability_365,
c.date,
MAX(l.calculated_host_listings_count),
FROM
london_listings l
JOIN
clean_lond_cal c
ON l.id = c.listing_id
GROUP BY 1,2
ORDER BY l.availability_365;
|
/*
Navicat MySQL Data Transfer
Source Server : localSql
Source Server Version : 50617
Source Host : localhost:3306
Source Database : thaipalliative_lte
Target Server Type : MYSQL
Target Server Version : 50617
File Encoding : 65001
Date: 2015-05-27 08:07:19
*/
SET FOREIGN_KEY_CHECKS=0;
-- ----------------------------
-- Table structure for formmain
-- ----------------------------
DROP TABLE IF EXISTS `formmain`;
CREATE TABLE `formmain` (
`formid` int(11) NOT NULL AUTO_INCREMENT,
`databaseid` int(11) DEFAULT NULL,
`formname` varchar(255) DEFAULT NULL,
`formdesc` varchar(255) DEFAULT NULL,
`tablename` varchar(255) DEFAULT NULL,
`pid` int(11) DEFAULT NULL,
`createdate` date DEFAULT NULL,
`status_share` int(11) DEFAULT NULL,
`public_add` int(11) DEFAULT NULL,
`public_view` int(11) DEFAULT NULL,
`public_edit` int(11) DEFAULT NULL,
`public_delete` int(11) DEFAULT NULL,
PRIMARY KEY (`formid`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of formmain
-- ----------------------------
|
SELECT tm1.MatchDate AS [First Date], tm2.MatchDate AS [Second Date]
FROM TeamMatches tm1, TeamMatches tm2
WHERE
tm2.MatchDate > tm1.MatchDate AND
DATEDIFF(day, tm1.MatchDate, tm2.MatchDate) < 1
ORDER BY tm1.MatchDate DESC, tm2.MatchDate DESC |
-- phpMyAdmin SQL Dump
-- version 3.3.9
-- http://www.phpmyadmin.net
--
-- Host: localhost
-- Generation Time: Mar 10, 2020 at 07:19 AM
-- Server version: 5.5.8
-- PHP Version: 5.3.5
SET SQL_MODE="NO_AUTO_VALUE_ON_ZERO";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
--
-- Database: `e-store`
--
-- --------------------------------------------------------
--
-- Table structure for table `contact_us`
--
CREATE TABLE IF NOT EXISTS `contact_us` (
`name` varchar(255) NOT NULL,
`email` varchar(255) NOT NULL,
`subject` varchar(255) NOT NULL,
`message` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `contact_us`
--
INSERT INTO `contact_us` (`name`, `email`, `subject`, `message`) VALUES
('', 'email', 'subject', 'message'),
('', 'email', 'subject', 'message'),
('', 'email', 'subject', 'message'),
('', 'email', 'subject', 'message'),
('', '', '', ''),
('', '', '', ''),
('', '', '', ''),
('', '', '', ''),
('', '', '', ''),
('', '', '', ''),
('', '', '', ''),
('Rupesh Mohanty', 'rupeshmohanty67@gmail.com', 'New to the club', 'Hi i am new to the club!'),
('', '', '', ''),
('Rupesh Mohanty', 'rupeshmohanty67@gmail.com', 'Hola', 'Hello there!'),
('Suryansu Dash', 'suryansudash5@gmail.com', 'I ordered a phone but had some problem with the payment method.', 'I had some issue related to the online payment method for a phone i ordered.'),
('Suryansu Dash', 'suryansudash5@gmail.com', 'I ordered a phone but had some problem with the payment method.', 'I had some issue related to the online payment method for a phone i ordered.'),
('', '', '', '');
|
-- Add migration script here
CREATE TABLE album2image (
album_id INTEGER NOT NULL REFERENCES album(id),
image_id INTEGER NOT NULL REFERENCES image(id),
PRIMARY KEY (album_id,image_id)
); |
-- migrate:up
CREATE TABLE sample (
id serial,
raw_data jsonb,
created_at timestamp without time zone DEFAULT now() NOT NULL,
updated_at timestamp without time zone DEFAULT now(),
PRIMARY KEY (id)
);
-- migrate:down
DROP TABLE sample
|
-- phpMyAdmin SQL Dump
-- version 5.0.2
-- https://www.phpmyadmin.net/
--
-- Hôte : 127.0.0.1:3306
-- Généré le : sam. 24 oct. 2020 à 18:36
-- Version du serveur : 8.0.21
-- Version de PHP : 7.4.9
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Base de données : `blog_info_3`
--
CREATE DATABASE IF NOT EXISTS `blog_info_3` DEFAULT CHARACTER SET utf8 COLLATE utf8_general_ci;
USE `blog_info_3`;
-- --------------------------------------------------------
--
-- Structure de la table `articles`
--
DROP TABLE IF EXISTS `articles`;
CREATE TABLE IF NOT EXISTS `articles` (
`id_article` bigint UNSIGNED NOT NULL AUTO_INCREMENT,
`titre_article` varchar(50) NOT NULL,
`contenu_article` text NOT NULL,
`date_article` date NOT NULL,
`id_user` bigint UNSIGNED NOT NULL,
`id_cat` bigint UNSIGNED NOT NULL,
PRIMARY KEY (`id_article`),
UNIQUE KEY `id_article` (`id_article`),
KEY `id_user` (`id_user`),
KEY `id_cat` (`id_cat`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Structure de la table `catégories`
--
DROP TABLE IF EXISTS `catégories`;
CREATE TABLE IF NOT EXISTS `catégories` (
`id_cat` bigint UNSIGNED NOT NULL AUTO_INCREMENT,
`nom_cat` varchar(20) NOT NULL,
PRIMARY KEY (`id_cat`),
UNIQUE KEY `id_cat` (`id_cat`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Structure de la table `commentaires`
--
DROP TABLE IF EXISTS `commentaires`;
CREATE TABLE IF NOT EXISTS `commentaires` (
`id_com` bigint UNSIGNED NOT NULL AUTO_INCREMENT,
`contenu_com` text NOT NULL,
`date_com` date NOT NULL,
`id_article` bigint UNSIGNED NOT NULL,
`id_com_parent` bigint UNSIGNED DEFAULT NULL,
`id_user` bigint UNSIGNED NOT NULL,
PRIMARY KEY (`id_com`),
UNIQUE KEY `id_com` (`id_com`),
KEY `id_com_parent` (`id_com_parent`),
KEY `id_user` (`id_user`),
KEY `id_article` (`id_article`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- --------------------------------------------------------
--
-- Structure de la table `utilisateurs`
--
DROP TABLE IF EXISTS `utilisateurs`;
CREATE TABLE IF NOT EXISTS `utilisateurs` (
`id_user` bigint UNSIGNED NOT NULL AUTO_INCREMENT,
`nom_user` varchar(50) NOT NULL,
`prenom_user` varchar(50) NOT NULL,
`pseudo_user` varchar(50) NOT NULL,
`mdp_user` text NOT NULL,
PRIMARY KEY (`id_user`),
UNIQUE KEY `id_user` (`id_user`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Contraintes pour les tables déchargées
--
--
-- Contraintes pour la table `articles`
--
ALTER TABLE `articles`
ADD CONSTRAINT `articles_ibfk_1` FOREIGN KEY (`id_cat`) REFERENCES `catégories` (`id_cat`),
ADD CONSTRAINT `articles_ibfk_2` FOREIGN KEY (`id_user`) REFERENCES `utilisateurs` (`id_user`);
--
-- Contraintes pour la table `commentaires`
--
ALTER TABLE `commentaires`
ADD CONSTRAINT `commentaires_ibfk_1` FOREIGN KEY (`id_user`) REFERENCES `utilisateurs` (`id_user`),
ADD CONSTRAINT `commentaires_ibfk_2` FOREIGN KEY (`id_com_parent`) REFERENCES `commentaires` (`id_com`) ON DELETE CASCADE ON UPDATE CASCADE,
ADD CONSTRAINT `commentaires_ibfk_3` FOREIGN KEY (`id_article`) REFERENCES `articles` (`id_article`) ON DELETE CASCADE ON UPDATE CASCADE;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
--会計償還表V
WITH REQUESRT_ACCOUNTING_VIEW AS
(
SELECT
--SACC．締め年月
SACC.TIGHTENING_YM,
--SACC．契約番号
SACC.CONTRACT_NO,
--SACC．会計計上日
SACC.ACCOUNTING_DATE,
--CASE WHEN SCTR．契約状況<>52：解約決裁済み OR(SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＜SCTR．最終負担日の年月) THEN
-- SACC．会計上利息
CASE WHEN SCTR.CONTRACT_CONDITION <> CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) OR
(SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) < 0 )
THEN SACC.ACCOUNTING_INTEREST
--WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＝SCTR．最終負担日の年月 THEN
-- SACC．会計上前半利息
WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) = 0
THEN ACCOUNTING_INTEREST_PRE
ELSE 0
--END AS 会計上利息
END ACCOUNTING_INTEREST,
--CASE WHEN SCTR．契約状況<>52：解約決裁済み OR(SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＜SCTR．最終負担日の年月) THEN
-- SACC．会計上利息(税抜)
CASE WHEN SCTR.CONTRACT_CONDITION <> CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) OR
(SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) < 0 )
THEN SACC.ACCOUNTING_INTEREST_NO_VAT
-- WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＝SCTR．最終負担日の年月 THEN
-- SACC．会計上前半利息(税抜)
WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) = 0
THEN ACCOUNTING_INTEREST_PRE_NO_VAT
ELSE 0
--END AS 会計上利息(税抜)
END ACCOUNTING_INTEREST_NO_VAT,
-- CASE WHEN SCTR．契約状況<>52：解約決裁済み OR(SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＜SCTR．最終負担日の年月) THEN
-- SACC．利息増値税
CASE WHEN SCTR.CONTRACT_CONDITION <> CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) OR
(SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) < 0 )
THEN SACC.VAT_AMOUNT_INTEREST
-- WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＝SCTR．最終負担日の年月 THEN
-- SACC．会計上前半利息 - SACC．会計上前半利息(税抜)
WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) = 0
THEN SACC.ACCOUNTING_INTEREST_PRE -SACC.ACCOUNTING_INTEREST_PRE_NO_VAT
ELSE 0
--END AS 利息増値税
END VAT_AMOUNT_INTEREST,
--CASE WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月>SCTR．最終回収日の年月 THEN
CASE WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) > 0
THEN 0
ELSE SACC.ACCOUNTING_INTEREST_PRE_NO_VAT
--END AS 会計上前半利息(税抜)
END ACCOUNTING_INTEREST_PRE_NO_VAT,
--CASE WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月>SCTR．最終回収日の年月 THEN 0
CASE WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) > 0
THEN 0
ELSE SACC.ACCOUNTING_INTEREST_PRE
--END AS 会計上前半利息
END ACCOUNTING_INTEREST_PRE,
--CASE WHEN SCTR．契約状況<>52：解約決裁済み OR(SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＜SCTR．最終負担日の年月) THEN
-- SACC．会計上振分管理費
CASE WHEN SCTR.CONTRACT_CONDITION <> CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) OR
(SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) < 0 )
THEN ACCOUNTING_ADMIN_FEE
--WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＝SCTR．最終負担日の年月 THEN
-- SACC．会計上前半管理費
WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) = 0
THEN SACC.ACCOUNTING_ADMIN_FEE_PRE
ELSE 0
--END AS 会計上振分管理費
END ACCOUNTING_ADMIN_FEE,
--CASE WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月>SCTR．最終回収日の年月 THEN 0
CASE WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) > 0
THEN 0
ELSE SACC.ACCOUNTING_ADMIN_FEE_PRE
--END AS 会計上前半管理費
END ACCOUNTING_ADMIN_FEE_PRE,
--OALT Step1 2016/11/11 sys-gong add start
--CASE WHEN SCTR．契約状況<>52：解約決裁済み OR(SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＜SCTR．最終負担日の年月) THEN SACC．コミッション
CASE WHEN SCTR.CONTRACT_CONDITION <> CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) OR (SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) < 0)
THEN SACC.COMMISSION_CAR_DEALER
--WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＝SCTR．最終負担日の年月 THEN SACC．会計上前半コミッション
WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) = 0
THEN SACC.COMMISSION_CAR_DEALER_PRE
ELSE 0
--END AS 会計上コミッション
END COMMISSION_CAR_DEALER,
--CASE WHEN SCTR．契約状況<>52：解約決裁済み OR(SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＜SCTR．最終負担日の年月) THEN SACC．コミッション（税抜）
CASE WHEN SCTR.CONTRACT_CONDITION <> CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) OR (SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) < 0)
THEN SACC.COMMISSION_CAR_DEALER_NO_VAT
--WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＝SCTR．最終負担日の年月 THEN SACC．会計上前半コミッション（税抜）
WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) = 0
THEN SACC.COMMISSION_CAR_DEALER_PRE_NO_VAT
ELSE 0
--END AS 会計上コミッション（税抜）
END COMMISSION_CAR_DEALER_NO_VAT,
--CASE WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月>SCTR．最終回収日の年月 THEN 0
CASE WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) > 0
THEN 0
--SACC．会計上前半コミッション
ELSE SACC.COMMISSION_CAR_DEALER_PRE
--END AS 会計上前半コミッション
END COMMISSION_CAR_DEALER_PRE,
--CASE WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月>SCTR．最終回収日の年月 THEN 0
CASE WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) > 0
THEN 0
--SACC．会計上前半コミッション（税抜）
ELSE SACC.COMMISSION_CAR_DEALER_PRE_NO_VAT
--END AS 会計上前半コミッション（税抜）
END COMMISSION_CAR_DEALER_PRE_NO_VAT,
--CASE WHEN SCTR．契約状況<>52：解約決裁済み OR(SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＜SCTR．最終負担日の年月) THEN SACC．印紙税
CASE WHEN SCTR.CONTRACT_CONDITION <> CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) OR(SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) < 0)
THEN SACC.DUTY_STAMP
--WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＝SCTR．最終負担日の年月 THEN SACC．会計上前半印紙税
WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) = 0
THEN SACC.DUTY_STAMP_PRE
--0
ELSE 0
--END AS 会計上印紙税
END DUTY_STAMP,
--CASE WHEN SCTR．契約状況<>52：解約決裁済み OR(SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＜SCTR．最終負担日の年月) THEN SACC．印紙税（税抜）
CASE WHEN SCTR.CONTRACT_CONDITION <> CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) OR(SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) < 0)
THEN SACC.DUTY_STAMP_NO_VAT
--WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＝SCTR．最終負担日の年月 THEN SACC．会計上前半印紙税（税抜）
WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) = 0
THEN SACC.DUTY_STAMP_PRE_NO_VAT
--0
ELSE 0
--END AS 会計上印紙税（税抜）
END DUTY_STAMP_NO_VAT,
--CASE WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月>SCTR．最終回収日の年月 THEN 0
CASE WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) > 0
THEN 0
--SACC．会計上前半印紙税
ELSE SACC.DUTY_STAMP_PRE
--END AS 会計上前半印紙税
END DUTY_STAMP_PRE,
--CASE WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月>SCTR．最終回収日の年月 THEN 0
CASE WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) > 0
THEN 0
--SACC．会計上前半印紙税（税抜）
ELSE SACC.DUTY_STAMP_PRE_NO_VAT
--END AS 会計上前半印紙税（税抜）
END DUTY_STAMP_PRE_NO_VAT,
--CASE WHEN SCTR．契約状況<>52：解約決裁済み OR(SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＜SCTR．最終負担日の年月) THEN SACC．営業奨励
CASE WHEN SCTR.CONTRACT_CONDITION <> CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) OR (SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) < 0)
THEN SACC.INCENTIVE_MARKETING
--0
ELSE 0
--END AS 会計上営業奨励
END INCENTIVE_MARKETING,
--CASE WHEN SCTR．契約状況<>52：解約決裁済み OR(SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月＜SCTR．最終負担日の年月) THEN SACC．営業奨励（税抜）
CASE WHEN SCTR.CONTRACT_CONDITION <> CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) OR (SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) < 0)
THEN SACC.INCENTIVE_MARKETING_NO_VAT
--0
ELSE 0
--END AS 会計上営業奨励（税抜）
END INCENTIVE_MARKETING_NO_VAT,
--CASE WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月>SCTR．最終回収日の年月 THEN 0
CASE WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) > 0
THEN 0
--SACC．会計上前半営業奨励
ELSE SACC.INCENTIVE_MARKETING_PRE
--END AS 会計上前半営業奨励
END INCENTIVE_MARKETING_PRE,
--CASE WHEN SCTR．契約状況＝52：解約決裁済み AND SACC．会計計上日の年月>SCTR．最終回収日の年月 THEN 0
CASE WHEN SCTR.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'52' AS CHAR(2)) AND DATEDIFF(MM,SCTR.LAST_WITHDRAW_DATE,SACC.ACCOUNTING_DATE) > 0
THEN 0
--SACC．会計上前半営業奨励（税抜）
ELSE SACC.INCENTIVE_MARKETING_PRE_NO_VAT
--END AS 会計上前半営業奨励（税抜）
END INCENTIVE_MARKETING_PRE_NO_VAT
--OALT Step1 2016/11/11 sys-gong add end
FROM
--断面_請求回収情報_会計用 SACC
SNAP_REQUST_ACCOUNTING_INFO SACC,
--断面_契約情報 SCTR
SNAP_CONTRACT_INFO SCTR
WHERE
--(SACC．締め年月 ＝ 引数．締め日の年月 OR SACC．締め年月 ＝ 引数．締め年月の前月)
(SACC.TIGHTENING_YM = CONVERT(VARCHAR(6),/*dto.tighteningDate*/'2016-08-31',112)
OR
SACC.TIGHTENING_YM = CONVERT(VARCHAR(6),/*dto.preTighteningDate*/'2016-07-31',112))
-- AND (SCTR．締め年月 ＝ 引数．締め日の年月 OR SCTR．締め年月 ＝ 引数．締め年月の前月)
AND (SCTR.TIGHTENING_YM = CONVERT(VARCHAR(6),/*dto.tighteningDate*/'2016-08-31',112)
OR SCTR.TIGHTENING_YM = CONVERT(VARCHAR(6),/*dto.preTighteningDate*/'2016-07-31',112))
--AND SACC．締め年月 = 断面_契約情報．締め年月
AND SACC.TIGHTENING_YM = SCTR.TIGHTENING_YM
--AND SACC．契約番号 = 断面_契約情報．契約番号
AND SACC.CONTRACT_NO = SCTR.CONTRACT_NO
),
--契約情報V
CONTRACT_VIEW AS
(
SELECT
--契約情報．拠点コード
CIF.CHARGE_AGENCY,
--拠点マスタ．拠点名
BMST.BRANCH_NAME,
--契約情報．顧客ID
CIF.CUSTOMER_CODE,
--取引先マスタ．取引先名 AS 顧客名
S_CUST.CUSTOMER_NAME AS CUSTOMER_NAME,
--取引先マスタ．親会社名
S_CUST.PARENT_COMPANY_NAME,
--契約情報．契約番号
CIF.CONTRACT_NO,
--契約情報．取引形態
CODE3.CODE_NAME AS TRADE_MORPHOLOGY,
--CASE WHEN セッションからの国ID＝81 then 予備項目設定汎用コードマスタ.コード名（日）
-- WHEN セッションからの国ID＝86 THEN 予備項目設定汎用コードマスタ.コード名（中）
-- ELSE 予備項目設定汎用コードマスタ.コード名（英） END AS 起案部門
--(CASE WHEN /dto.countryId/'' = /dto.languageJapanese/'' THEN PRE.CODE_NAME_JP
--WHEN /dto.countryId/'' = /dto.languageSimplifiedChinese/'' THEN PRE.CODE_NAME_CN
--ELSE PRE.CODE_NAME_EN END) AS CODE_NAME, --起案部店
'' AS CODE_NAME, --起案部店
--コードマスタ1.コード名称 AS 金利種別
CODE1.CODE_NAME AS RATE_TYPE, -- N.コード名称=金利種別
--契約情報．税率
CIF.TAX_RATE AS TAX_RATE,
--案件マスタ．案件名称
CA.CASES_NAME,
--通貨マスタ．通貨表示名 AS 取引通貨
CUR.CURRENCY_NAME AS CURRENCY_NAME,
--契約情報．検収時会計換算レート
CIF.RATE_ACCEPTANCE,
--契約情報．現換算レート
CIF.RATE_INSTANT,
--契約情報．検収日
CIF.ACCEPTANCE_CHECK_DATE,
--契約情報．満了日
CIF.END_DATE,
--コードマスタ2.コード名称 AS 契約状況
CODE2.CODE_NAME AS CONTRACT_CONDITION,
--契約情報．残価
CIF.REMAINDER_AMOUNT,
--契約情報．残価（税抜）
CIF.REMAINDER_AMOUNT_NO_VAT,
--契約情報．残価 - 契約情報．残価（税抜） AS 残価増値税
ISNULL(CIF.REMAINDER_AMOUNT, 0) - ISNULL(CIF.REMAINDER_AMOUNT_NO_VAT, 0) AS VAT_REMAINDER_AMOUNT,
--(CASE WHEN 最新申請情報.申請属性 = '4'(解約申請) AND 最新申請情報.決裁日 IS NOT NULL
--AND DATEDIFF(DD,最新申請情報.決裁日,契約情報.満了日)>0
--THEN 最新申請情報.決裁日
--ELSE 契約情報.満了日
---END ) AS 残価回収予定日
(CASE WHEN N_AIF.APPLY_ATTRIBUTE = /*dto.cancelApply*/''
AND N_AIF.END_AGREEMENT_CONDITION = /*dto.endAgreementCondition*/''
AND N_AIF.SANCTION_DATE IS NOT NULL
AND DATEDIFF(DD,N_AIF.SANCTION_DATE,CIF.END_DATE)>0
THEN N_AIF.SANCTION_DATE
ELSE CIF.END_DATE END) AS REMAINDER_AMOUNT_SCHEDULE_DATE -- 残価回収予定日
FROM
(
SELECT *,
--CASE 契約状況＝42：転リース決裁済み AND 業務日付＞＝転リース日 THEN 43：転リース済み AS 契約状況
CASE WHEN SCI.CONTRACT_CONDITION = CAST(/*dto.transferLeaseAlreadySanction*/'' AS CHAR(2))
AND /*dto.workDate*/'' >= SCI.TRANSFER_LEASE_DATE THEN /*dto.alreadyTransferLease*/''
--CASE 契約状況＝52：解約決裁済み AND 業務日付＞＝解約日 THEN 53：解約済み AS 契約状況
WHEN SCI.CONTRACT_CONDITION = CAST(/*dto.cancelAlreadySanction*/'' AS CHAR(2))
AND /*dto.workDate*/'' >= SCI.END_AGREEMENT_DATE THEN /*dto.alreadyCancel*/''
--CASE 契約状況＜＞42：転リース決裁済 AND 契約状況＜＞52：解約決裁済 AND 業務日付＞＝満了日 THEN 60：満了 AS 契約状況
WHEN SCI.CONTRACT_CONDITION <> CAST(/*dto.transferLeaseAlreadySanction*/'' AS CHAR(2))
AND SCI.CONTRACT_CONDITION <> CAST(/*dto.cancelAlreadySanction*/'' AS CHAR(2))
AND /*dto.workDate*/'' >= SCI.END_DATE THEN /*dto.end*/''
--契約状況 AS 契約状況
ELSE SCI.CONTRACT_CONDITION END AS CURRENT_CONDTION
FROM
--締め用契約情報
SNAP_CONTRACT_INFO SCI
WHERE
--締め用契約情報．締め年月 ＝ 引数．締め日の年月
SCI.TIGHTENING_YM = CONVERT(VARCHAR(6),/*dto.tighteningDate*/'',112)
--AND 締め用契約情報．契約状況＞＝３０：検収済
AND SCI.CONTRACT_CONDITION >= CAST(/*dto.fContractCondition30*/'' AS CHAR(2))
--AND 締め用契約情報．新規計上日の年月<= 引数．締め日の年月
AND DATEDIFF(MM, /*dto.tighteningDate*/'', SCI.SALE_DATE ) <= 0
--AND 締め用契約情報．契約取消日 IS NULL
AND SCI.CANCEL_DATE IS NULL
--AND （締め用契約情報．契約状況 ＜＞ 52：解約決裁済
--AND (SCI.CONTRACT_CONDITION <> CAST(/dto.cancelAlreadySanction/'' AS CHAR(2))
--OR （締め用契約情報．契約状況 ＝ 52：解約決裁済 AND 締め用契約情報．解約日の年月 ＞＝ 引数．締め日の年月））
--OR ( SCI.CONTRACT_CONDITION = CAST(/dto.cancelAlreadySanction/'' AS CHAR(2))
--AND DATEDIFF(MM,SCI.END_AGREEMENT_DATE,/dto.tighteningDate/'') <= 0 ))
--AND 締め用契約情報．拠点コード = 引数．拠点
AND SCI.CHARGE_AGENCY = /*dto.branch*/''
) CIF
LEFT JOIN
( SELECT
--ROW_NUMBER() OVER (PARTITION BY 契約番号 ORDER BY 申請番号 DESC) AS 連番
ROW_NUMBER() OVER (PARTITION BY CONTRACT_NO ORDER BY APPLY_NO DESC) AS ROWNUM,
--契約番号
CONTRACT_NO,
--決裁日
SANCTION_DATE,
--申請属性
APPLY_ATTRIBUTE,
--解約条件
END_AGREEMENT_CONDITION
FROM
--申請情報
APPLY_INFO
--最新申請情報
) N_AIF
ON
--契約情報．契約番号=最新申請情報．契約番号
CIF.CONTRACT_NO = N_AIF.CONTRACT_NO
--AND 最新申請情報．連番＝１
AND N_AIF.ROWNUM = 1
--INNER 案件マスタ
INNER JOIN CASE_MST CA
--ON(契約情報．案件番号 = 案件マスタ．案件番号)
ON CIF.CASE_NO = CA.CASE_NO
--LEFT JOIN 通貨マスタ
LEFT JOIN CURRENCY_MST CUR
--ON(通貨マスタ．通貨ID = 契約情報．取引通貨)
ON CUR.CURRENCY_ID = CIF.KEY_CURRENCY_ID
--LEFT JOIN 締め用取引先マスタ
LEFT JOIN SNAP_CUSTOMER_MST S_CUST
--ON 締め用取引先マスタ．締め年月 ＝ 引数．締め日の年月
ON S_CUST.TIGHTENING_YM = CONVERT(VARCHAR(6),/*dto.tighteningDate*/'',112)
--AND 契約情報．顧客＿取引先コード＝締め用取引先マスタ．取引先コード
AND CIF.CUSTOMER_CODE = S_CUST.CUSTOMER_CODE
--LEFT JOIN拠点マスタ
LEFT JOIN BRANCH_MST BMST
--ON(契約情報．拠点コード = 拠点マスタ．拠点コード AND 拠点マスタ．国ＩＤ = セッション．国ＩＤ)
ON CIF.CHARGE_AGENCY = BMST.BRANCH_CODE AND BMST.COUNTRY_ID = /*dto.countryId*/''
--LEFT JOIN予備項目設定汎用コードマスタ
--LEFT JOIN PREPARE_CODE_MASTER PRE
--ON（予備項目設定汎用コードマスタ．コードID＝契約情報．予備ドロップダウンリスト1
--ON PRE.CODE_ID = CIF.OTHERS_DROPDOWN1
--AND 予備項目設定汎用コードマスタ．数据表名＝APPLY_INFO
--AND PRE.TABLE_ID = 'APPLY_INFO'
--AND 予備項目設定汎用コードマスタ．字段名＝OTHERS_DROPDOWN1)
--AND PRE.COLUMN_ID = 'OTHERS_DROPDOWN1'
--LEFT JOINコードマスタ1
LEFT JOIN CODE_MASTER CODE1
--ON(コードマスタ1．区分コード＝契約情報．金利種別 AND コードマスタ1．コードID=118：金利種別 AND コードマスタ1．国ＩＤ = セッション．国ＩＤ)
ON CODE1.CODE_ID = CIF.RATE_TYPE
AND CODE1.CODE_TYPE = /*dto.rateType*/''
AND CODE1.COUNTRY_ID = /*dto.countryId*/''
--LEFT JOINコードマスタ2
LEFT JOIN CODE_MASTER CODE2
--ON(コードマスタ2．区分コード＝契約情報．契約状況 AND コードマスタ2．コードID=034：契約状況区分 AND コードマスタ1．国ＩＤ = セッション．国ＩＤ)
ON CODE2.CODE_ID = CIF.CURRENT_CONDTION
AND CODE2.CODE_TYPE =/*dto.statusKbn*/''
AND CODE2.COUNTRY_ID = /*dto.countryId*/''
LEFT JOIN CODE_MASTER CODE3
--ON(コードマスタ3．区分コード＝契約情報．取引形態 AND コードマスタ3．コードID=001：取引形態 AND コードマスタ1．国ＩＤ = セッション．国ＩＤ)
ON CODE3.CODE_ID = CIF.TRADE_MORPHOLOGY
AND CODE3.CODE_TYPE =/*dto.tradeMorphology*/''
AND CODE3.COUNTRY_ID = /*dto.countryId*/''
),
--,当月末集計情報V AS (
CURRENT_MONTH_VIEW AS
(
SELECT
--契約情報．契約番号
SCI.CONTRACT_NO AS CONTRACT_NO,
T_NEGA.CUR_AMOUNT_TRANSFER, --当月リース料_消込済
T_NEGA.CUR_AMOUNT_NOVAT_TRANSFER, --当月リース料(税抜)_消込済
T_NEGA.CUR_LEASE_VAT_TRANSFER, --当月リース料増値税_消込済
T_NEGA.CUR_OVERDUE_TRANSFER, --当月遅延損害金_消込済
T_NEGA.CUR_OVERDUE_NOVAT_TRANSFER, --当月遅延損害金(税抜)_消込済
T_NEGA.CUR_OVERDUE_VAT_TRANSFER, --当月遅延損害金増値税_消込済
T_NEGA.AMOUNT_TRANSFER_SUM, --リース料_消込済累計
T_NEGA.AMOUNT_NOVAT_TRANSFER_SUM, --リース料(税抜)_消込済累計
T_NEGA.AMOUNT_VAT_TRANSFER_SUM, --リース料増値税_消込済累計
T_SRWI.WITHDRAW_AMOUNT_SUM, --営業上リース料回収累計
T_SRWI.WITHDRAW_AMOUNT_NOVAT_SUM, --営業上リース料(税抜)回収累計
T_SRWI.VAT_WITHDRAW_SCHEDULE_AMOUNT_SUM, --営業上増値税回収累計
T_SRWI.PRINCIPAL_SUM, --営業上元本回収累計
T_SRWI.PRINCIPAL_NO_VAT_SUM, --営業上元本(税抜)回収累計
T_SRWI.VAT_PRINCIPAL_SUM, --営業上元本増値税回収累計
T_SRWI.INTEREST_SUM, --営業上利息回収累計
T_SRWI.INTEREST_NO_VAT_SUM, --営業上利息(税抜)回収累計
T_SRWI.VAT_INTEREST_SUM, --営業上利息増値税回収累計
T_SRWI.WITHDRAW_SCHEDULE_AMOUNT_REMAINDER, --営業上未回収リース料残高
T_SRWI.WITHDRAW_SCHEDULE_AMOUNT_NO_VAT_REMAINDER, --営業上未回収リース料(税抜)残高
T_SRWI.VAT_WITHDRAW_SCHEDULE_AMOUNT_REMAINDER, --営業上未回収増値税残高
T_SRWI.PRINCIPAL_REMAINDER, --営業上未回収元本残高
T_SRWI.PRINCIPAL_NO_VAT_REMAINDER, --営業上未回収元本(税抜)残高
T_SRWI.VAT_PRINCIPAL_REMAINDER, --営業上未回収元本増値税残高
T_SRWI.INTEREST_REMAINDER, --営業上未回収利息残高
T_SRWI.INTEREST_NO_VAT_REMAINDER, --営業上未回収利息(税抜)残高
T_SRWI.VAT_INTEREST_REMAINDER, --営業上未回収利息増値税残高
T_SRWI.WITHDRAW_SCHEDULE_AMOUNT_NO_VAT_ALL,
T_SRWI.VAT_WITHDRAW_SCHEDULE_AMOUNT_ALL,
T_SRWI.WITHDRAW_SCHEDULE_AMOUNT_ALL,
T_SRWI.COUPON_REMAINDER, --営業上残回数
T_SRWI.ACC_END_DATE, --会計満了日
--OALT Step1 2016/11/11 sys-gong add start
--営業上コミッション
T_SRWI.COMMISSION_CAR_DEALER_SUM,
--営業上印紙税
T_SRWI.DUTY_STAMP_SUM,
--営業上営業奨励
T_SRWI.INCENTIVE_MARKETING_SUM,
--OALT Step1 2016/11/11 sys-gong add end
--OALT Step1 2016/11/04 sys-gong add start
T_SRWI.INTEREST_NO_VAT_NEXT,--営業上翌月利息（税抜）
T_SRWI.INTEREST_NEXT,--営業上翌月利息
T_SRWI.COMMISSION_CAR_DEALER_NEXT,--営業上翌月コミッション
T_SRWI.DUTY_STAMP_NEXT,--営業上翌月印紙税
T_SRWI.INCENTIVE_MARKETING_NEXT,--営業上翌月営業奨励
--OALT Step1 2016/11/04 sys-gong add end
T_SRAI.ACCOUNTING_INTEREST_SUM, --会計上利息回収累計
T_SRAI.ACCOUNTING_INTEREST_NO_VAT_SUM, --会計上利息(税抜)回収累計
T_SRAI.VAT_AMOUNT_INTEREST_SUM, --会計上利息S増値税回収累計
T_SRAI.ACCOUNTING_INTEREST_REMAINDER, --会計上未回収利息残高
T_SRAI.ACCOUNTING_INTEREST_NO_VAT_REMAINDER, --会計上未回収利息(税抜)残高
T_SRAI.VAT_AMOUNT_INTEREST_REMAINDER, --会計上未回収利息増値税残高
T_SRAI.ACCOUNTING_INTEREST_RESULT_SUM, --会計上実現利息累計
T_SRAI.ACCOUNTING_INTEREST_NO_VAT_RESULT_SUM, --会計上実現利息(税抜)累計
T_SRAI.ACCOUNTING_ADMIN_FEE_SUM, --会計上振分管理費累計
T_SRAI.ACCOUNTING_ADMIN_FEE_RESULT_SUM, --会計上実現振分管理費累計
T_SRAI.ACCOUNTING_ADMIN_FEE_SUM_REMAINDER, --会計上未収振分管理費残高
T_SRAI.ACCOUNTING_INTEREST_YY, --年度会計上利息
T_SRAI.ACCOUNTING_INTEREST_NO_VAT_YY, --年度会計上利息(税抜)
T_SRAI.VAT_AMOUNT_INTEREST_YY, --年度会計上利息増値税
--OALT Step1 2016/11/11 sys-gong add start
T_SRAI.ACCOUNTING_COMMISSION_CAR_DEALER_SUM,--会計上コミッション累計
T_SRAI.ACCOUNTING_COMMISSION_CAR_DEALER_NO_VAT_SUM,--会計上コミッション累計(税抜)
T_SRAI.ACCOUNTING_COMMISSION_CAR_DEALER_RESULT_SUM,--会計上実現コミッション累計
T_SRAI.ACCOUNTING_COMMISSION_CAR_DEALER_NO_VAT_RESULT_SUM,--会計上実現コミッション累計(税抜)
T_SRAI.ACCOUNTING_DUTY_STAMP_SUM,--会計上印紙税累計
T_SRAI.ACCOUNTING_DUTY_STAMP_NO_VAT_SUM,--会計上印紙税累計(税抜)
T_SRAI.ACCOUNTING_DUTY_STAMP_RESULT_SUM,--会計上実現印紙税累計
T_SRAI.ACCOUNTING_DUTY_STAMP_NO_VAT_RESULT_SUM,--会計上実現印紙税累計(税抜)
T_SRAI.ACCOUNTING_INCENTIVE_MARKETING_SUM,--会計上営業奨励累計
T_SRAI.ACCOUNTING_INCENTIVE_MARKETING_NO_VAT_SUM,--会計上営業奨励累計(税抜)
T_SRAI.ACCOUNTING_INCENTIVE_MARKETING_RESULT_SUM,--会計上実現営業奨励累計
T_SRAI.ACCOUNTING_INCENTIVE_MARKETING_NO_VAT_RESULT_SUM,--会計上実現営業奨励累計(税抜)
----OALT Step1 2016/11/11 sys-gong add end
T_SOWI.FEE_SUM --管理費累計
FROM
--締め用契約情報 AS 契約情報
SNAP_CONTRACT_INFO AS SCI
-----------------------------------------------------------------------------------
LEFT JOIN
--消込履歴詳細
--NEGATION_HISTORY_DETAIL_INFO NEGA
(
SELECT
NEGA.CONTRACT_NO,
--SUM(CASE WHEN 消込履歴詳細．回収実績日 <= 引数．締め日 AND 消込履歴詳細．回収種別 = 【リース料】 THEN 消込履歴詳細．金額 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD, /*dto.tighteningDate*/'', NEGA.WITHDRAW_RESULT_DATE ) <= 0
AND NEGA.WITHDRAW_CASUS = /*dto.billLease*/'' THEN ISNULL(NEGA.TRANSFER_AMOUNT,0) ELSE 0 END )
---SUM(CASE WHEN 消込履歴詳細．回収実績日 <= 引数．前回締め日 AND 消込履歴詳細．消込実施日 <= 引数．前回締め実施日時 AND 消込履歴詳細．回収種別 = 【リース料】 THEN 消込履歴詳細．金額 ELSE 0 END)
-SUM(CASE WHEN DATEDIFF(DD, /*dto.preTighteningDate*/'', NEGA.WITHDRAW_RESULT_DATE ) <= 0
AND NEGA.NEGATION_DATE <= /*dto.preTighteningTime*/''
AND NEGA.WITHDRAW_CASUS = /*dto.billLease*/'' THEN ISNULL(NEGA.TRANSFER_AMOUNT,0) ELSE 0 END )
AS CUR_AMOUNT_TRANSFER, --当月リース料_消込済
--SUM(CASE WHEN 消込履歴詳細．回収実績日 <= 引数．締め日 AND 消込履歴詳細．回収種別 = 【リース料】 THEN 消込履歴詳細．元本回収実績額＋消込履歴詳細．利息回収実績額 ELSE 0 END)
SUM( CASE WHEN DATEDIFF(DD, /*dto.tighteningDate*/'', NEGA.WITHDRAW_RESULT_DATE ) <= 0
AND NEGA.WITHDRAW_CASUS = /*dto.billLease*/'' THEN ISNULL(NEGA.PRINCIPAL_RESULT_AMOUNT,0) + ISNULL(NEGA.INTEREST_RESULT_AMOUNT,0) ELSE 0 END )
---SUM(CASE WHEN 消込履歴詳細．回収実績日 <= 引数．前回締め日 AND消込履歴詳細．消込実施日 <= 引数．前回締め実施日時 AND 消込履歴詳細．回収種別 = 【リース料】 THEN 消込履歴詳細．元本回収実績額＋消込履歴詳細．利息回収実績額 ELSE 0 END)
-SUM(CASE WHEN DATEDIFF(DD, /*dto.preTighteningDate*/'', NEGA.WITHDRAW_RESULT_DATE ) <= 0
AND NEGA.NEGATION_DATE <= /*dto.preTighteningTime*/''
AND NEGA.WITHDRAW_CASUS = /*dto.billLease*/'' THEN ISNULL(NEGA.PRINCIPAL_RESULT_AMOUNT,0) + ISNULL(NEGA.INTEREST_RESULT_AMOUNT,0) ELSE 0 END )
AS CUR_AMOUNT_NOVAT_TRANSFER, --当月リース料(税抜)_消込済
--SUM(CASE WHEN 消込履歴詳細．回収実績日 <= 引数．締め日 AND 消込履歴詳細．回収種別 = 【リース料】 THEN 消込履歴詳細．元本増値税回収実績額＋消込履歴詳細．利息増値税回収実績額 ELSE 0 END)
SUM( CASE WHEN DATEDIFF(DD, /*dto.tighteningDate*/'', NEGA.WITHDRAW_RESULT_DATE ) <= 0
AND NEGA.WITHDRAW_CASUS = /*dto.billLease*/'' THEN ISNULL(NEGA.VAT_PRINCIPAL_RESULT_AMOUNT,0) + ISNULL(NEGA.VAT_INTEREST_RESULT_AMOUNT,0) ELSE 0 END )
---SUM(CASE WHEN 消込履歴詳細．回収実績日 <= 引数．前回締め日 AND AND 消込履歴詳細．消込実施日 <= 引数．前回締め実施日時 消込履歴詳細．回収種別 = 【リース料】 THEN 消込履歴詳細．元本増値税回収実績額＋消込履歴詳細．利息増値税回収実績額 ELSE 0 END)
-SUM(CASE WHEN DATEDIFF(DD, /*dto.preTighteningDate*/'', NEGA.WITHDRAW_RESULT_DATE ) <= 0
AND NEGA.NEGATION_DATE <= /*dto.preTighteningTime*/''
AND NEGA.WITHDRAW_CASUS = /*dto.billLease*/'' THEN ISNULL(NEGA.VAT_PRINCIPAL_RESULT_AMOUNT,0) + ISNULL(NEGA.VAT_INTEREST_RESULT_AMOUNT,0) ELSE 0 END )
AS CUR_LEASE_VAT_TRANSFER, --当月リース料増値税_消込済
--SUM(CASE WHEN 消込履歴詳細．回収実績日 <= 引数．締め日 AND 消込履歴詳細．回収種別 = 【遅延損害金】 THEN 消込履歴詳細．金額 ELSE 0 END)
SUM( CASE WHEN DATEDIFF(DD, /*dto.tighteningDate*/'', NEGA.WITHDRAW_RESULT_DATE ) <= 0
AND NEGA.WITHDRAW_CASUS = /*dto.billDelayed*/'' THEN ISNULL(NEGA.TRANSFER_AMOUNT,0) ELSE 0 END )
---SUM(CASE WHEN 消込履歴詳細．回収実績日 <= 引数．前回締め日 AND 消込履歴詳細．消込実施日 <= 引数．前回締め実施日時 AND 消込履歴詳細．回収種別 = 【遅延損害金】 THEN 消込履歴詳細．金額 ELSE 0 END)
-SUM(CASE WHEN DATEDIFF(DD, /*dto.preTighteningDate*/'', NEGA.WITHDRAW_RESULT_DATE ) <= 0
AND NEGA.NEGATION_DATE <= /*dto.preTighteningTime*/''
AND NEGA.WITHDRAW_CASUS = /*dto.billDelayed*/'' THEN ISNULL(NEGA.TRANSFER_AMOUNT,0) ELSE 0 END )
AS CUR_OVERDUE_TRANSFER, --当月遅延損害金_消込済
--SUM(CASE WHEN 消込履歴詳細．回収実績日 <= 引数．締め日 AND 消込履歴詳細．回収種別 = 【遅延損害金】 THEN 消込履歴詳細．元本回収実績額＋消込履歴詳細．利息回収実績額 ELSE 0 END)
SUM( CASE WHEN DATEDIFF(DD, /*dto.tighteningDate*/'', NEGA.WITHDRAW_RESULT_DATE ) <= 0
AND NEGA.WITHDRAW_CASUS = /*dto.billDelayed*/'' THEN ISNULL(NEGA.PRINCIPAL_RESULT_AMOUNT,0) + ISNULL(NEGA.INTEREST_RESULT_AMOUNT,0) ELSE 0 END )
---SUM(CASE WHEN 消込履歴詳細．回収実績日 <= 引数．前回締め日 AND 消込履歴詳細．消込実施日 <= 引数．前回締め実施日時 AND 消込履歴詳細．回収種別 = 【遅延損害金】 THEN 消込履歴詳細．元本回収実績額＋消込履歴詳細．利息回収実績額 ELSE 0 END)
-SUM(CASE WHEN DATEDIFF(DD, /*dto.preTighteningDate*/'', NEGA.WITHDRAW_RESULT_DATE ) <= 0
AND NEGA.NEGATION_DATE <= /*dto.preTighteningTime*/''
AND NEGA.WITHDRAW_CASUS = /*dto.billDelayed*/'' THEN ISNULL(NEGA.PRINCIPAL_RESULT_AMOUNT,0) + ISNULL(NEGA.INTEREST_RESULT_AMOUNT,0) ELSE 0 END )
AS CUR_OVERDUE_NOVAT_TRANSFER, --当月遅延損害金(税抜)_消込済
--SUM(CASE WHEN 消込履歴詳細．回収実績日 <= 引数．締め日 AND 消込履歴詳細．回収種別 = 【遅延損害金】 THEN 消込履歴詳細．元本増値税回収実績額＋消込履歴詳細．利息増値税回収実績額 ELSE 0 END)
SUM( CASE WHEN DATEDIFF(DD, /*dto.tighteningDate*/'', NEGA.WITHDRAW_RESULT_DATE ) <= 0
AND NEGA.WITHDRAW_CASUS = /*dto.billDelayed*/'' THEN ISNULL(NEGA.VAT_PRINCIPAL_RESULT_AMOUNT,0) + ISNULL(NEGA.VAT_INTEREST_RESULT_AMOUNT,0) ELSE 0 END )
---SUM(CASE WHEN 消込履歴詳細．回収実績日 <= 引数．前回締め日 AND 消込履歴詳細．消込実施日 <= 引数．前回締め実施日時 AND 消込履歴詳細．回収種別 = 【遅延損害金】 THEN 消込履歴詳細．元本増値税回収実績額＋消込履歴詳細．利息増値税回収実績額 ELSE 0 END)
-SUM(CASE WHEN DATEDIFF(DD, /*dto.preTighteningDate*/'', NEGA.WITHDRAW_RESULT_DATE ) <= 0
AND NEGA.NEGATION_DATE <= /*dto.preTighteningTime*/''
AND NEGA.WITHDRAW_CASUS = /*dto.billDelayed*/'' THEN ISNULL(NEGA.VAT_PRINCIPAL_RESULT_AMOUNT,0) + ISNULL(NEGA.VAT_INTEREST_RESULT_AMOUNT,0) ELSE 0 END )
AS CUR_OVERDUE_VAT_TRANSFER, --当月遅延損害金増値税_消込済
--SUM(CASE WHEN 消込履歴詳細．回収種別 = 【リース料】 THEN 消込履歴詳細．金額 ELSE 0 END)
SUM(CASE WHEN NEGA.WITHDRAW_CASUS = /*dto.billLease*/'' THEN ISNULL(NEGA.TRANSFER_AMOUNT,0) ELSE 0 END)
AS AMOUNT_TRANSFER_SUM, --リース料_消込済累計
--SUM(CASE WHEN 消込履歴詳細．回収種別 = 【リース料】 THEN 消込履歴詳細．元本回収実績額＋消込履歴詳細．利息回収実績額 ELSE 0 END)
SUM(CASE WHEN NEGA.WITHDRAW_CASUS = /*dto.billLease*/'' THEN ISNULL(NEGA.PRINCIPAL_RESULT_AMOUNT,0) + ISNULL(NEGA.INTEREST_RESULT_AMOUNT,0) ELSE 0 END)
AS AMOUNT_NOVAT_TRANSFER_SUM, --リース料(税抜)_消込済累計
--SUM(CASE WHEN 消込履歴詳細．回収種別 = 【リース料】 THEN 消込履歴詳細．元本増値税回収実績額＋消込履歴詳細．利息増値税回収実績額 ELSE 0 END)
SUM(CASE WHEN NEGA.WITHDRAW_CASUS = /*dto.billLease*/'' THEN ISNULL(NEGA.VAT_PRINCIPAL_RESULT_AMOUNT,0) + ISNULL(NEGA.VAT_INTEREST_RESULT_AMOUNT,0) ELSE 0 END)
AS AMOUNT_VAT_TRANSFER_SUM --リース料増値税_消込済累計
FROM
NEGATION_HISTORY_DETAIL_INFO NEGA
WHERE
--消込履歴詳細．入金結果フラグ = 【成功】
NEGA.TRANSFER_RESULT_FLG = /*dto.receiptResultFlgSucc*/''
--AND 消込履歴詳細．消込失敗フラグ = 【OFF】
AND NEGA.NEGATION_FAIL_FLG = /*dto.negationFailFlgOff*/''
GROUP BY NEGA.CONTRACT_NO
)T_NEGA
ON
--消込履歴詳細．契約番号 = 契約情報．契約番号
T_NEGA.CONTRACT_NO = SCI.CONTRACT_NO
-----------------------------------------------------------------------------------
LEFT JOIN
--締め用請求回収情報
--SNAP_REQUST_WITHDRAW_INFO SRWI
(SELECT
SRWI.CONTRACT_NO,
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め日 THEN 締め用請求回収情報．回収予定額 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.WITHDRAW_SCHEDULE_AMOUNT,0) ELSE 0 END)
AS WITHDRAW_AMOUNT_SUM, --営業上リース料回収累計
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め日 THEN 締め用請求回収情報．回収予定額(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.WITHDRAW_SCHEDULE_AMOUNT_NO_VAT,0) ELSE 0 END)
AS WITHDRAW_AMOUNT_NOVAT_SUM, --営業上リース料(税抜)回収累計
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め日 THEN 締め用請求回収情報．増値税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.VAT_WITHDRAW_SCHEDULE_AMOUNT,0) ELSE 0 END)
AS VAT_WITHDRAW_SCHEDULE_AMOUNT_SUM, --営業上増値税回収累計
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め日 THEN 締め用請求回収情報．元本 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.PRINCIPAL,0) ELSE 0 END)
AS PRINCIPAL_SUM, --営業上元本回収累計
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め日 THEN 締め用請求回収情報．元本(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.PRINCIPAL_NO_VAT,0) ELSE 0 END)
AS PRINCIPAL_NO_VAT_SUM, --営業上元本(税抜)回収累計
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め日 THEN 締め用請求回収情報．元本増値税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.VAT_PRINCIPAL,0) ELSE 0 END)
AS VAT_PRINCIPAL_SUM, --営業上元本増値税回収累計
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め日 THEN 締め用請求回収情報．利息 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.INTEREST,0) ELSE 0 END)
AS INTEREST_SUM, --営業上利息回収累計
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め日 THEN 締め用請求回収情報．利息(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.INTEREST_NO_VAT,0) ELSE 0 END)
AS INTEREST_NO_VAT_SUM, --営業上利息(税抜)回収累計
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め日 THEN 締め用請求回収情報．利息増値税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.VAT_INTEREST,0) ELSE 0 END)
AS VAT_INTEREST_SUM, --営業上利息増値税回収累計
--OALT Step1 2016/11/11 sys-gong add start
--SUM(CASE 断面_請求回収情報．回収予定日 <= 引数．締め日 THEN 断面_請求回収情報．コミッション ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.COMMISSION_CAR_DEALER,0) ELSE 0 END)
AS COMMISSION_CAR_DEALER_SUM, --営業上コミッション回収累計
--SUM(CASE 断面_請求回収情報．回収予定日 <= 引数．締め日 THEN 断面_請求回収情報．印紙税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.DUTY_STAMP,0) ELSE 0 END)
AS DUTY_STAMP_SUM, --営業上印紙税回収累計
--SUM(CASE 断面_請求回収情報．回収予定日 <= 引数．締め日 THEN 断面_請求回収情報．営業奨励 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.INCENTIVE_MARKETING,0) ELSE 0 END)
AS INCENTIVE_MARKETING_SUM, --営業上営業奨励回収累計
--OALT Step1 2016/11/11 sys-gong add end
--SUM(CASE 締め用請求回収情報．回収予定日 > 引数．締め日 THEN 締め用請求回収情報．回収予定額 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)>0 THEN ISNULL(SRWI.WITHDRAW_SCHEDULE_AMOUNT,0) ELSE 0 END)
AS WITHDRAW_SCHEDULE_AMOUNT_REMAINDER, --営業上未回収リース料残高
--SUM(CASE 締め用請求回収情報．回収予定日 > 引数．締め日 THEN 締め用請求回収情報．回収予定額(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)>0 THEN ISNULL(SRWI.WITHDRAW_SCHEDULE_AMOUNT_NO_VAT,0) ELSE 0 END)
AS WITHDRAW_SCHEDULE_AMOUNT_NO_VAT_REMAINDER, --営業上未回収リース料(税抜)残高
--SUM(CASE 締め用請求回収情報．回収予定日 > 引数．締め日 THEN 締め用請求回収情報．増値税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)>0 THEN ISNULL(SRWI.VAT_WITHDRAW_SCHEDULE_AMOUNT,0) ELSE 0 END)
AS VAT_WITHDRAW_SCHEDULE_AMOUNT_REMAINDER, --営業上未回収増値税残高
--SUM(CASE 締め用請求回収情報．回収予定日 > 引数．締め日 THEN 締め用請求回収情報．元本 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)>0 THEN ISNULL(SRWI.PRINCIPAL,0) ELSE 0 END)
AS PRINCIPAL_REMAINDER, --営業上未回収元本残高
--SUM(CASE 締め用請求回収情報．回収予定日 > 引数．締め日 THEN 締め用請求回収情報．元本(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)>0 THEN ISNULL(SRWI.PRINCIPAL_NO_VAT,0) ELSE 0 END)
AS PRINCIPAL_NO_VAT_REMAINDER, --営業上未回収元本(税抜)残高
--SUM(CASE 締め用請求回収情報．回収予定日 > 引数．締め日 THEN 締め用請求回収情報．元本増値税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)>0 THEN ISNULL(SRWI.VAT_PRINCIPAL,0) ELSE 0 END)
AS VAT_PRINCIPAL_REMAINDER, --営業上未回収元本増値税残高
--SUM(CASE 締め用請求回収情報．回収予定日 > 引数．締め日 THEN 締め用請求回収情報．利息 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)>0 THEN ISNULL(SRWI.INTEREST,0) ELSE 0 END)
AS INTEREST_REMAINDER, --営業上未回収利息残高
--SUM(CASE 締め用請求回収情報．回収予定日 > 引数．締め日 THEN 締め用請求回収情報．利息(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)>0 THEN ISNULL(SRWI.INTEREST_NO_VAT,0) ELSE 0 END)
AS INTEREST_NO_VAT_REMAINDER, --営業上未回収利息(税抜)残高
--SUM(CASE 締め用請求回収情報．回収予定日 > 引数．締め日 THEN 締め用請求回収情報．利息増値税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)>0 THEN ISNULL(SRWI.VAT_INTEREST,0) ELSE 0 END)
AS VAT_INTEREST_REMAINDER, --営業上未回収利息増値税残高
--SUM(締め用請求回収情報．回収予定額(税抜) ) AS 営業上回収総額(税抜)
SUM(ISNULL(SRWI.WITHDRAW_SCHEDULE_AMOUNT_NO_VAT,0)) AS WITHDRAW_SCHEDULE_AMOUNT_NO_VAT_ALL,
--SUM(締め用請求回収情報．増値税 ) AS 営業上増値税回収総額
SUM(ISNULL(SRWI.VAT_WITHDRAW_SCHEDULE_AMOUNT,0)) AS VAT_WITHDRAW_SCHEDULE_AMOUNT_ALL,
--SUM(締め用請求回収情報．回収予定額 ) AS 営業上回収総額
SUM(ISNULL(SRWI.WITHDRAW_SCHEDULE_AMOUNT,0)) AS WITHDRAW_SCHEDULE_AMOUNT_ALL,
--SUM(CASE WHEN 締め用請求回収情報．回収予定額 = 0 or 締め用請求回収情報．回収予定日 <= 引数．締め日 THEN 0 ELSE 1 END)
SUM(CASE WHEN SRWI.WITHDRAW_SCHEDULE_AMOUNT = 0
OR DATEDIFF(DD,/*dto.tighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN 0 ELSE 1 END )
AS COUPON_REMAINDER, --営業上残回数
--MAX(締め用請求回収情報．利息期間To) AS 会計満了日
MAX(SRWI.INTEREST_PERIOD_TO) AS ACC_END_DATE,
--OALT Step1 2016/11/04 sys-gong add start
--SUM(CASE 断面_請求回収情報．回収予定日の年月 = 引数．締め日の翌月 THEN 断面_請求回収情報．利息 ELSE 0 END) AS 営業上翌月利息
SUM(CASE WHEN DATEDIFF(MM,SRWI.WITHDRAW_SCHEDULE_DATE,DATEADD(MONTH,1,/*dto.tighteningDate*/'')) = 0 THEN SRWI.INTEREST ELSE 0 END) AS INTEREST_NEXT,
--SUM(CASE 断面_請求回収情報．回収予定日の年月 = 引数．締め日の翌月 THEN 断面_請求回収情報．利息(税抜) ELSE 0 END) AS 営業上翌月利息（税抜）
SUM(CASE WHEN DATEDIFF(MM,SRWI.WITHDRAW_SCHEDULE_DATE,DATEADD(MONTH,1,/*dto.tighteningDate*/'')) = 0 THEN SRWI.INTEREST_NO_VAT ELSE 0 END) AS INTEREST_NO_VAT_NEXT,
--SUM(CASE 断面_請求回収情報．回収予定日の年月 = 引数．締め日の翌月 THEN 断面_請求回収情報．コミッション ELSE 0 END) AS 営業上翌月コミッション
SUM(CASE WHEN DATEDIFF(MM,SRWI.WITHDRAW_SCHEDULE_DATE,DATEADD(MONTH,1,/*dto.tighteningDate*/'')) = 0 THEN SRWI.COMMISSION_CAR_DEALER ELSE 0 END) AS COMMISSION_CAR_DEALER_NEXT,
--SUM(CASE 断面_請求回収情報．回収予定日の年月 = 引数．締め日の翌月 THEN 断面_請求回収情報．印紙税 ELSE 0 END) AS 営業上翌月印紙税
SUM(CASE WHEN DATEDIFF(MM,SRWI.WITHDRAW_SCHEDULE_DATE,DATEADD(MONTH,1,/*dto.tighteningDate*/'')) = 0 THEN SRWI.DUTY_STAMP ELSE 0 END) AS DUTY_STAMP_NEXT,
--SUM(CASE 断面_請求回収情報．回収予定日の年月 = 引数．締め日の翌月 THEN 断面_請求回収情報．営業奨励 ELSE 0 END) AS 営業上翌月営業奨励
SUM(CASE WHEN DATEDIFF(MM,SRWI.WITHDRAW_SCHEDULE_DATE,DATEADD(MONTH,1,/*dto.tighteningDate*/'')) = 0 THEN SRWI.INCENTIVE_MARKETING ELSE 0 END) AS INCENTIVE_MARKETING_NEXT
--OALT Step1 2016/11/04 sys-gong add end
FROM SNAP_REQUST_WITHDRAW_INFO SRWI
WHERE
--締め用請求回収情報．締め年月 = 引数．締め年月
SRWI.TIGHTENING_YM = CONVERT(VARCHAR(6),/*dto.tighteningDate*/'',112)
--AND 締め用請求回収情報．回収不要フラグ = 【OFF】
AND SRWI.UN_WITHDRAW_FLG = /*dto.fUnWithdrawFlg*/''
GROUP BY SRWI.CONTRACT_NO
) T_SRWI
ON
--契約情報．契約番号 = 締め用請求回収情報．契約番号
SCI.CONTRACT_NO = T_SRWI.CONTRACT_NO
-----------------------------------------------------------------------------------
LEFT JOIN
--締め用請求回収情報_会計用
--SNAP_REQUST_ACCOUNTING_INFO SRAI
(
SELECT
SRAI.CONTRACT_NO,
--SUM(CASE 締め用請求回収情報_会計用．会計計上日 <= 引数．締め日 THEN 締め用請求回収情報_会計用．会計上利息 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE)<=0 THEN ISNULL(SRAI.ACCOUNTING_INTEREST,0) ELSE 0 END )
AS ACCOUNTING_INTEREST_SUM, --会計上利息回収累計
--SUM(CASE 締め用請求回収情報_会計用．会計計上日 <= 引数．締め日 THEN 締め用請求回収情報_会計用．会計上利息(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE)<=0 THEN ISNULL(SRAI.ACCOUNTING_INTEREST_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_INTEREST_NO_VAT_SUM, --会計上利息(税抜)回収累計
--SUM(CASE 締め用請求回収情報_会計用．会計計上日 <= 引数．締め日 THEN 締め用請求回収情報_会計用．利息増値税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE)<=0 THEN ISNULL(SRAI.VAT_AMOUNT_INTEREST,0) ELSE 0 END )
AS VAT_AMOUNT_INTEREST_SUM, --会計上利息S増値税回収累計
--SUM(CASE 締め用請求回収情報_会計用．会計計上日 > 引数．締め日 THEN 締め用請求回収情報_会計用．会計上利息 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE)>0 THEN ISNULL(SRAI.ACCOUNTING_INTEREST,0) ELSE 0 END )
AS ACCOUNTING_INTEREST_REMAINDER, --会計上未回収利息残高
--SUM(CASE 締め用請求回収情報_会計用．会計計上日 > 引数．締め日 THEN 締め用請求回収情報_会計用．会計上利息(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE)>0 THEN ISNULL(SRAI.ACCOUNTING_INTEREST_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_INTEREST_NO_VAT_REMAINDER, --会計上未回収利息(税抜)残高
--SUM(CASE 締め用請求回収情報_会計用．会計計上日 > 引数．締め日 THEN 締め用請求回収情報_会計用．利息増値税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE)>0 THEN ISNULL(SRAI.VAT_AMOUNT_INTEREST,0) ELSE 0 END )
AS VAT_AMOUNT_INTEREST_REMAINDER, --会計上未回収利息増値税残高
--SUM(CASE 締め用請求回収情報_会計用．会計計上日の年月 < 引数．締め日の年月 THEN 締め用請求回収情報_会計用．会計上利息 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.ACCOUNTING_INTEREST,0) ELSE 0 END ) +
--＋ SUM(CASE 締め用請求回収情報_会計用．会計計上日の年月 = 引数．締め日の年月 THEN 締め用請求回収情報_会計用．会計上前半利息 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.ACCOUNTING_INTEREST_PRE,0) ELSE 0 END )
AS ACCOUNTING_INTEREST_RESULT_SUM, --会計上実現利息累計
--SUM(CASE 締め用請求回収情報_会計用．会計計上日の年月 < 引数．締め日の年月 THEN 締め用請求回収情報_会計用．会計上利息(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.ACCOUNTING_INTEREST_NO_VAT,0) ELSE 0 END ) +
--＋ SUM(CASE 締め用請求回収情報_会計用．会計計上日の年月 = 引数．締め日の年月 THEN 締め用請求回収情報_会計用．会計上前半利(息抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.ACCOUNTING_INTEREST_PRE_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_INTEREST_NO_VAT_RESULT_SUM, --会計上実現利息(税抜)累計
--SUM(CASE 締め用請求回収情報_会計用．会計計上日 <= 引数．締め日 THEN 締め用請求回収情報_会計用．会計上振分管理費 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0 THEN ISNULL(SRAI.ACCOUNTING_ADMIN_FEE,0) ELSE 0 END )
AS ACCOUNTING_ADMIN_FEE_SUM, --会計上振分管理費累計
--SUM(CASE 締め用請求回収情報_会計用．会計計上日の年月 < 引数．締め日の年月 THEN 締め用請求回収情報_会計用．会計上振分管理費 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.ACCOUNTING_ADMIN_FEE,0) ELSE 0 END ) +
--＋ SUM(CASE 締め用請求回収情報_会計用．会計計上日の年月 = 引数．締め日の年月 THEN 締め用請求回収情報_会計用．会計上前半管理費 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.ACCOUNTING_ADMIN_FEE_PRE,0) ELSE 0 END )
AS ACCOUNTING_ADMIN_FEE_RESULT_SUM, --会計上実現振分管理費累計
--SUM(CASE 締め用請求回収情報_会計用．会計計上日 > 引数．締め日 THEN 締め用請求回収情報_会計用．会計上振分管理費 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) > 0 THEN ISNULL(SRAI.ACCOUNTING_ADMIN_FEE,0) ELSE 0 END )
AS ACCOUNTING_ADMIN_FEE_SUM_REMAINDER, --会計上未収振分管理費残高
--OALT Step1 2016/11/11 sys-gong add start
--SUM(CASE 断面_請求回収情報_会計用．会計計上日 <= 引数．締め日 THEN 断面_請求回収情報_会計用．会計上コミッション ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0 THEN ISNULL(SRAI.COMMISSION_CAR_DEALER,0) ELSE 0 END )
AS ACCOUNTING_COMMISSION_CAR_DEALER_SUM,--会計上コミッション累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日 <= 引数．締め日 THEN 断面_請求回収情報_会計用．会計上コミッション（税抜） ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0 THEN ISNULL(SRAI.COMMISSION_CAR_DEALER＿NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_COMMISSION_CAR_DEALER_NO_VAT_SUM,--会計上コミッション累計（税抜）
--SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 < 引数．締め日の年月 THEN 断面_請求回収情報_会計用．会計上コミッション ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.COMMISSION_CAR_DEALER,0) ELSE 0 END ) +
--＋ SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 = 引数．締め日の年月 THEN 断面_請求回収情報_会計用．会計上前半コミッション ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.COMMISSION_CAR_DEALER_PRE,0) ELSE 0 END )
AS ACCOUNTING_COMMISSION_CAR_DEALER_RESULT_SUM,--会計上実現コミッション累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 < 引数．締め日の年月 THEN 断面_請求回収情報_会計用．会計上コミッション（税抜） ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.COMMISSION_CAR_DEALER_NO_VAT,0) ELSE 0 END ) +
--＋ SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 = 引数．締め日の年月 THEN 断面_請求回収情報_会計用．会計上前半コミッション（税抜） ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.COMMISSION_CAR_DEALER_PRE_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_COMMISSION_CAR_DEALER_NO_VAT_RESULT_SUM,--会計上実現コミッション累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日 <= 引数．締め日 THEN 断面_請求回収情報_会計用．会計上印紙税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0 THEN ISNULL(SRAI.DUTY_STAMP,0) ELSE 0 END )
AS ACCOUNTING_DUTY_STAMP_SUM,--会計上印紙税累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日 <= 引数．締め日 THEN 断面_請求回収情報_会計用．会計上印紙税（税抜） ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0 THEN ISNULL(SRAI.DUTY_STAMP_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_DUTY_STAMP_NO_VAT_SUM,--会計上印紙税累計（税抜）
--SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 < 引数．締め日の年月 THEN 断面_請求回収情報_会計用．会計上印紙税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.DUTY_STAMP,0) ELSE 0 END ) +
--＋ SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 = 引数．締め日の年月 THEN 断面_請求回収情報_会計用．会計上前半印紙税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.DUTY_STAMP_PRE,0) ELSE 0 END )
AS ACCOUNTING_DUTY_STAMP_RESULT_SUM,--会計上実現印紙税累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 < 引数．締め日の年月 THEN 断面_請求回収情報_会計用．会計上印紙税（税抜） ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.DUTY_STAMP_NO_VAT,0) ELSE 0 END ) +
--＋ SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 = 引数．締め日の年月 THEN 断面_請求回収情報_会計用．会計上前半印紙税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.DUTY_STAMP_PRE_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_DUTY_STAMP_NO_VAT_RESULT_SUM,--会計上実現印紙税累計（税抜）
--SUM(CASE 断面_請求回収情報_会計用．会計計上日 <= 引数．締め日 THEN 断面_請求回収情報_会計用．会計上営業奨励 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0 THEN ISNULL(SRAI.INCENTIVE_MARKETING,0) ELSE 0 END )
AS ACCOUNTING_INCENTIVE_MARKETING_SUM,--会計上営業奨励累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日 <= 引数．締め日 THEN 断面_請求回収情報_会計用．会計上営業奨励（税抜） ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0 THEN ISNULL(SRAI.INCENTIVE_MARKETING_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_INCENTIVE_MARKETING_NO_VAT_SUM,--会計上営業奨励累計（税抜）
--SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 < 引数．締め日の年月 THEN 断面_請求回収情報_会計用．会計上営業奨励 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.INCENTIVE_MARKETING,0) ELSE 0 END ) +
--＋ SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 = 引数．締め日の年月 THEN 断面_請求回収情報_会計用．会計上前半営業奨励 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.INCENTIVE_MARKETING_PRE,0) ELSE 0 END )
AS ACCOUNTING_INCENTIVE_MARKETING_RESULT_SUM,--会計上実現営業奨励累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 < 引数．締め日の年月 THEN 断面_請求回収情報_会計用．会計上営業奨励 （税抜） ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.INCENTIVE_MARKETING_NO_VAT,0) ELSE 0 END ) +
--＋ SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 = 引数．締め日の年月 THEN 断面_請求回収情報_会計用．会計上前半営業奨励（税抜） ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.INCENTIVE_MARKETING_PRE_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_INCENTIVE_MARKETING_NO_VAT_RESULT_SUM,--会計上実現営業奨励累計
--OALT Step1 2016/11/11 sys-gong add end
--SUM(CASE 締め用請求回収情報_会計用．会計計上日 <= 引数．締め日 AND 締め用請求回収情報_会計用．会計計上日の年 = 引数．締め年月の年 THEN 締め用請求回収情報_会計用．会計上利息 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0
AND DATEDIFF(YY,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.ACCOUNTING_INTEREST,0) ELSE 0 END )
AS ACCOUNTING_INTEREST_YY, --年度会計上利息
--SUM(CASE 締め用請求回収情報_会計用．会計計上日 <= 引数．締め日 AND 締め用請求回収情報_会計用．会計計上日の年 = 引数．締め日の年 THEN 締め用請求回収情報_会計用．会計上利息(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0
AND DATEDIFF(YY,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.ACCOUNTING_INTEREST_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_INTEREST_NO_VAT_YY, --年度会計上利息(税抜)
--SUM(CASE 締め用請求回収情報_会計用．会計計上日 <= 引数．締め日 AND 締め用請求回収情報_会計用．会計計上日の年 = 引数．締め日の年 THEN 締め用請求回収情報_会計用．利息増値税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0
AND DATEDIFF(YY,/*dto.tighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.VAT_AMOUNT_INTEREST,0) ELSE 0 END )
AS VAT_AMOUNT_INTEREST_YY --年度会計上利息増値税
FROM REQUESRT_ACCOUNTING_VIEW SRAI
WHERE
--締め用請求回収情報_会計用．締め年月 = 引数．締め年月
SRAI.TIGHTENING_YM = CONVERT(VARCHAR(6),/*dto.tighteningDate*/'',112)
GROUP BY SRAI.CONTRACT_NO
) T_SRAI
ON
--契約情報．契約番号 = 請求回収情報_会計用．契約番号
SCI.CONTRACT_NO = T_SRAI.CONTRACT_NO
-----------------------------------------------------------------------------------
LEFT JOIN
--締め用その他入金情報
--SNAP_OTHER_WITHDRAW_INFO SOWI
(
SELECT
CONTRACT_NO,
--SUM(CASE 締め用その他入金情報．入金小分類＝61：管理費 THEN 締め用その他入金情報．回収予定額 ELSE 0 END)
SUM(CASE WHEN SOWI.WITHDRAW_TYPE_DETAIL = /*dto.payTypeDetailAdmin*/'' THEN ISNULL(SOWI.WITHDRAW_SCHEDULE_AMOUNT,0) ELSE 0 END )
AS FEE_SUM --管理費累計
FROM SNAP_OTHER_WITHDRAW_INFO SOWI
WHERE
--締め用その他入金情報 ．締め年月 = 引数．締め年月
SOWI.TIGHTENING_YM = CONVERT(VARCHAR(6),/*dto.tighteningDate*/'',112)
--AND 締め用その他入金情報 ．回収不要フラグ = 【OFF】
AND SOWI.UN_WITHDRAW_FLG = /*dto.fUnWithdrawFlg*/''
GROUP BY CONTRACT_NO
) T_SOWI
ON
--契約情報．契約番号 = 締め用その他入金情報．契約番号
SCI.CONTRACT_NO = T_SOWI.CONTRACT_NO
WHERE
--契約情報．締め年月 = 引数．締め年月
SCI.TIGHTENING_YM = CONVERT(VARCHAR(6),/*dto.tighteningDate*/'',112)
--AND 契約情報．部店コード = 引数．部店コード
AND SCI.CHARGE_AGENCY = /*dto.branch*/''
--AND 契約情報．新規計上日の年月<= 引数．締め年月
AND DATEDIFF(MM, /*dto.tighteningDate*/'', SCI.SALE_DATE ) <= 0
--AND 契約情報．契約取消日 IS NULL
AND SCI.CANCEL_DATE IS NULL
),
--,前月末集計情報V AS (
PRE_MONTH_VIEW AS
(
SELECT
--契約情報．契約番号
SCI.CONTRACT_NO AS CONTRACT_NO,
T_SRWI.WITHDRAW_AMOUNT_SUM, --営業上リース料回収累計
T_SRWI.WITHDRAW_AMOUNT_NOVAT_SUM, --営業上リース料(税抜)回収累計
T_SRWI.VAT_WITHDRAW_SCHEDULE_AMOUNT_SUM, --営業上増値税回収累計
T_SRWI.PRINCIPAL_SUM, --営業上元本回収累計
T_SRWI.PRINCIPAL_NO_VAT_SUM, --営業上元本(税抜)回収累計
T_SRWI.VAT_PRINCIPAL_SUM, --営業上元本増値税回収累計
T_SRWI.INTEREST_SUM, --営業上利息回収累計
T_SRWI.INTEREST_NO_VAT_SUM, --営業上利息(税抜)回収累計
T_SRWI.VAT_INTEREST_SUM, --営業上利息増値税回収累計
--OALT Step1 2016/11/11 sys-gong add start
T_SRWI.COMMISSION_CAR_DEALER_SUM, --営業上コミッション回収累計
T_SRWI.COMMISSION_CAR_DEALER_NO_VAT_SUM, --営業上コミッション(税抜)回収累計
T_SRWI.DUTY_STAMP_SUM, --営業上印紙税回収累計
T_SRWI.DUTY_STAMP_NO_VAT_SUM, --営業上印紙税(税抜)回収累計
T_SRWI.INCENTIVE_MARKETING_SUM,--営業上営業奨励回収累計
T_SRWI.INCENTIVE_MARKETING_NO_VAT_SUM,--営業上営業奨励(税抜)回収累計
T_SRAI.ACCOUNTING_COMMISSION_CAR_DEALER_SUM, --会計上コミッション累計
T_SRAI.ACCOUNTING_COMMISSION_CAR_DEALER_NO_VAT_SUM, --会計上コミッション(税抜)累計
T_SRAI.ACCOUNTING_COMMISSION_CAR_DEALER_RESULT_SUM, --会計上実現コミッション累計
T_SRAI.ACCOUNTING_COMMISSION_CAR_DEALER_NO_VAT_RESULT_SUM, --会計上実現コミッション(税抜)累計
T_SRAI.ACCOUNTING_DUTY_STAMP_SUM, --会計上印紙税累計
T_SRAI.ACCOUNTING_DUTY_STAMP_NO_VAT_SUM, --会計上印紙税(税抜)累計
T_SRAI.ACCOUNTING_DUTY_STAMP_RESULT_SUM, --会計上実現印紙税累計
T_SRAI.ACCOUNTING_DUTY_STAMP_NO_VAT_RESULT_SUM, --会計上実現印紙税(税抜)累計
T_SRAI.ACCOUNTING_INCENTIVE_MARKETING_SUM, --会計上営業奨励累計
T_SRAI.ACCOUNTING_INCENTIVE_MARKETING_NO_VAT_SUM, --会計上営業奨励累計(税抜)
T_SRAI.ACCOUNTING_INCENTIVE_MARKETING_RESULT_SUM, --会計上実現営業奨励累計
T_SRAI.ACCOUNTING_INCENTIVE_MARKETING_NO_VAT_RESULT_SUM, --会計上実現営業奨励(税抜)累計
----OALT Step1 2016/11/11 sys-gong add end
T_SRAI.ACCOUNTING_INTEREST_SUM, --会計上利息回収累計
T_SRAI.ACCOUNTING_INTEREST_NO_VAT_SUM, --会計上利息(税抜)回収累計
T_SRAI.VAT_AMOUNT_INTEREST_SUM, --会計上利息増値税回収累計
T_SRAI.ACCOUNTING_INTEREST_RESULT_SUM, --会計上実現利息累計
T_SRAI.ACCOUNTING_INTEREST_NO_VAT_RESULT_SUM, --会計上実現利息(税抜)累計
T_SRAI.ACCOUNTING_ADMIN_FEE_SUM, --会計上振分管理費累計
T_SRAI.ACCOUNTING_ADMIN_FEE_RESULT_SUM, --会計上実現振分管理費累計
T_SOWI.FEE_SUM AS FEE_SUM --管理費累計
FROM
--締め用契約情報 AS 契約情報
SNAP_CONTRACT_INFO AS SCI
-----------------------------------------------------------------------------------
LEFT JOIN
--締め用請求回収情報
--SNAP_REQUST_WITHDRAW_INFO SRWI
(
SELECT
SRWI.CONTRACT_NO,
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め年月前月の月末日 THEN 締め用請求回収情報．回収予定額 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.WITHDRAW_SCHEDULE_AMOUNT,0) ELSE 0 END)
AS WITHDRAW_AMOUNT_SUM, --営業上リース料回収累計
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め年月前月の月末日 THEN 締め用請求回収情報．回収予定額(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.WITHDRAW_SCHEDULE_AMOUNT_NO_VAT,0) ELSE 0 END)
AS WITHDRAW_AMOUNT_NOVAT_SUM, --営業上リース料(税抜)回収累計
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め年月前月の月末日 THEN 締め用請求回収情報．増値税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.VAT_WITHDRAW_SCHEDULE_AMOUNT,0) ELSE 0 END)
AS VAT_WITHDRAW_SCHEDULE_AMOUNT_SUM, --営業上増値税回収累計
--OALT Step1 2016/11/11 sys-gong add start
--SUM(CASE 断面_請求回収情報．回収予定日 <= 引数．締め年月前月の月末日 THEN 断面_請求回収情報．コミッション ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.COMMISSION_CAR_DEALER,0) ELSE 0 END)
AS COMMISSION_CAR_DEALER_SUM, --営業上コミッション回収累計
--SUM(CASE 断面_請求回収情報．回収予定日 <= 引数．締め年月前月の月末日 THEN 断面_請求回収情報．コミッション(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.COMMISSION_CAR_DEALER_NO_VAT,0) ELSE 0 END)
AS COMMISSION_CAR_DEALER_NO_VAT_SUM, --営業上コミッション回収累計
--SUM(CASE 断面_請求回収情報．回収予定日 <= 引数．締め年月前月の月末日 THEN 断面_請求回収情報．印紙税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.DUTY_STAMP,0) ELSE 0 END)
AS DUTY_STAMP_SUM, --営業上印紙税回収累計
--SUM(CASE 断面_請求回収情報．回収予定日 <= 引数．締め年月前月の月末日 THEN 断面_請求回収情報．印紙税(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.DUTY_STAMP_NO_VAT,0) ELSE 0 END)
AS DUTY_STAMP_NO_VAT_SUM, --営業上印紙税(税抜)回収累計
--SUM(CASE 断面_請求回収情報．回収予定日 <= 引数．締め年月前月の月末日 THEN 断面_請求回収情報．営業奨励 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.INCENTIVE_MARKETING,0) ELSE 0 END)
AS INCENTIVE_MARKETING_SUM,--営業上営業奨励回収累計
--SUM(CASE 断面_請求回収情報．回収予定日 <= 引数．締め年月前月の月末日 THEN 断面_請求回収情報．営業奨励 (税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.INCENTIVE_MARKETING_NO_VAT,0) ELSE 0 END)
AS INCENTIVE_MARKETING_NO_VAT_SUM,--営業上営業奨励回収累計
--OALT Step1 2016/11/11 sys-gong add end
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め年月前月の月末日 THEN 締め用請求回収情報．元本 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.PRINCIPAL,0) ELSE 0 END)
AS PRINCIPAL_SUM, --営業上元本回収累計
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め年月前月の月末日 THEN 締め用請求回収情報．元本(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.PRINCIPAL_NO_VAT,0) ELSE 0 END)
AS PRINCIPAL_NO_VAT_SUM, --営業上元本(税抜)回収累計
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め年月前月の月末日 THEN 締め用請求回収情報．元本増値税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.VAT_PRINCIPAL,0) ELSE 0 END)
AS VAT_PRINCIPAL_SUM, --営業上元本増値税回収累計
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め年月前月の月末日 THEN 締め用請求回収情報．利息 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.INTEREST,0) ELSE 0 END)
AS INTEREST_SUM, --営業上利息回収累計
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め年月前月の月末日 THEN 締め用請求回収情報．利息(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.INTEREST_NO_VAT,0) ELSE 0 END)
AS INTEREST_NO_VAT_SUM, --営業上利息(税抜)回収累計
--SUM(CASE 締め用請求回収情報．回収予定日 <= 引数．締め年月前月の月末日 THEN 締め用請求回収情報．利息増値税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRWI.WITHDRAW_SCHEDULE_DATE)<=0 THEN ISNULL(SRWI.VAT_INTEREST,0) ELSE 0 END)
AS VAT_INTEREST_SUM --営業上利息増値税回収累計
FROM SNAP_REQUST_WITHDRAW_INFO SRWI
WHERE
--締め用請求回収情報．締め年月 = 引数．締め年月の前月
SRWI.TIGHTENING_YM = CONVERT(VARCHAR(6),/*dto.preTighteningDate*/'',112)
--AND 締め用請求回収情報．回収不要フラグ = 【OFF】
AND SRWI.UN_WITHDRAW_FLG = /*dto.fUnWithdrawFlg*/''
GROUP BY SRWI.CONTRACT_NO
) T_SRWI
ON
--契約情報．契約番号 = 締め用請求回収情報．契約番号
SCI.CONTRACT_NO = T_SRWI.CONTRACT_NO
-----------------------------------------------------------------------------------
LEFT JOIN
--締め用請求回収情報_会計用
--SNAP_REQUST_ACCOUNTING_INFO SRAI
(
SELECT
SRAI.CONTRACT_NO,
--SUM(CASE 締め用請求回収情報_会計用．会計計上日 <= 引数．締め年月前月の月末日 THEN 締め用請求回収情報_会計用．会計上利息 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE)<=0 THEN ISNULL(SRAI.ACCOUNTING_INTEREST,0) ELSE 0 END )
AS ACCOUNTING_INTEREST_SUM, --会計上利息回収累計
--SUM(CASE 締め用請求回収情報_会計用．会計計上日 <= 引数．締め年月前月の月末日 THEN 締め用請求回収情報_会計用．会計上利息(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE)<=0 THEN ISNULL(SRAI.ACCOUNTING_INTEREST_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_INTEREST_NO_VAT_SUM, --会計上利息(税抜)回収累計
--SUM(CASE 締め用請求回収情報_会計用．会計計上日 <= 引数．締め年月前月の月末日 THEN 締め用請求回収情報_会計用．利息増値税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE)<=0 THEN ISNULL(SRAI.VAT_AMOUNT_INTEREST,0) ELSE 0 END )
AS VAT_AMOUNT_INTEREST_SUM, --会計上利息増値税回収累計
--SUM(CASE 締め用請求回収情報_会計用．会計計上日の年月 < 引数．締め年月前月 THEN 締め用請求回収情報_会計用．会計上利息 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.ACCOUNTING_INTEREST,0) ELSE 0 END ) +
--＋ SUM(CASE 締め用請求回収情報_会計用．会計計上日の年月 = 引数．締め年月前月 THEN 締め用請求回収情報_会計用．会計上前半利息 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.ACCOUNTING_INTEREST_PRE,0) ELSE 0 END )
AS ACCOUNTING_INTEREST_RESULT_SUM, --会計上実現利息累計
--SUM(CASE 締め用請求回収情報_会計用．会計計上日の年月 < 引数．締め年月前月 THEN 締め用請求回収情報_会計用．会計上利息(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.ACCOUNTING_INTEREST_NO_VAT,0) ELSE 0 END ) +
--＋ SUM(CASE 締め用請求回収情報_会計用．会計計上日の年月 = 引数．締め年月前月 THEN 締め用請求回収情報_会計用．会計上前半利(息抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.ACCOUNTING_INTEREST_PRE_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_INTEREST_NO_VAT_RESULT_SUM, --会計上実現利息(税抜)累計
--SUM(CASE 締め用請求回収情報_会計用．会計計上日 <= 引数．締め日 THEN 締め用請求回収情報_会計用．会計上振分管理費 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0 THEN ISNULL(SRAI.ACCOUNTING_ADMIN_FEE,0) ELSE 0 END )
AS ACCOUNTING_ADMIN_FEE_SUM, --会計上振分管理費累計
--SUM(CASE 締め用請求回収情報_会計用．会計計上日の年月 < 引数．締め年月前月 THEN 締め用請求回収情報_会計用．会計上振分管理費 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.ACCOUNTING_ADMIN_FEE,0) ELSE 0 END ) +
--＋ SUM(CASE 締め用請求回収情報_会計用．会計計上日の年月 = 引数．締め年月前月 THEN 締め用請求回収情報_会計用．会計上前半管理費 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.ACCOUNTING_ADMIN_FEE_PRE,0) ELSE 0 END )
AS ACCOUNTING_ADMIN_FEE_RESULT_SUM, --会計上実現振分管理費累計
--OALT Step1 2016/11/11 sys-gong add start
--SUM(CASE 断面_請求回収情報_会計用．会計計上日 <= 引数．締め年月前月の月末日 THEN 断面_請求回収情報_会計用．会計上コミッション ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0 THEN ISNULL(SRAI.COMMISSION_CAR_DEALER,0) ELSE 0 END )
AS ACCOUNTING_COMMISSION_CAR_DEALER_SUM, --会計上コミッション累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日 <= 引数．締め年月前月の月末日 THEN 断面_請求回収情報_会計用．会計上コミッション(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0 THEN ISNULL(SRAI.COMMISSION_CAR_DEALER_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_COMMISSION_CAR_DEALER_NO_VAT_SUM, --会計上コミッション(税抜)累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 < 引数．締め年月前月 THEN 断面_請求回収情報_会計用．会計上コミッション ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.COMMISSION_CAR_DEALER,0) ELSE 0 END ) +
--＋ SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 = 引数．締め年月前月 THEN 断面_請求回収情報_会計用．会計上前半コミッション ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.COMMISSION_CAR_DEALER_PRE,0) ELSE 0 END )
AS ACCOUNTING_COMMISSION_CAR_DEALER_RESULT_SUM, --会計上実現コミッション累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 < 引数．締め年月前月 THEN 断面_請求回収情報_会計用．会計上コミッション(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.COMMISSION_CAR_DEALER_NO_VAT,0) ELSE 0 END ) +
--＋ SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 = 引数．締め年月前月 THEN 断面_請求回収情報_会計用．会計上前半コミッション(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.COMMISSION_CAR_DEALER_PRE_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_COMMISSION_CAR_DEALER_NO_VAT_RESULT_SUM, --会計上実現コミッション(税抜)累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日 <= 引数．締め年月前月の月末日 THEN 断面_請求回収情報_会計用．会計上印紙税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0 THEN ISNULL(SRAI.DUTY_STAMP,0) ELSE 0 END )
AS ACCOUNTING_DUTY_STAMP_SUM, --会計上印紙税累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日 <= 引数．締め年月前月の月末日 THEN 断面_請求回収情報_会計用．会計上印紙税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0 THEN ISNULL(SRAI.DUTY_STAMP_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_DUTY_STAMP_NO_VAT_SUM, --会計上印紙税(税抜)累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 < 引数．締め年月前月 THEN 断面_請求回収情報_会計用．会計上印紙税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.DUTY_STAMP,0) ELSE 0 END ) +
--＋ SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 = 引数．締め年月前月 THEN 断面_請求回収情報_会計用．会計上前半印紙税 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.DUTY_STAMP_PRE,0) ELSE 0 END )
AS ACCOUNTING_DUTY_STAMP_RESULT_SUM, --会計上実現印紙税累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 < 引数．締め年月前月 THEN 断面_請求回収情報_会計用．会計上印紙税(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.DUTY_STAMP_NO_VAT,0) ELSE 0 END ) +
--＋ SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 = 引数．締め年月前月 THEN 断面_請求回収情報_会計用．会計上前半印紙税(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.DUTY_STAMP_PRE_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_DUTY_STAMP_NO_VAT_RESULT_SUM, --会計上実現印紙税(税抜)累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日 <= 引数．締め年月前月の月末日 THEN 断面_請求回収情報_会計用．会計上営業奨励 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0 THEN ISNULL(SRAI.INCENTIVE_MARKETING,0) ELSE 0 END )
AS ACCOUNTING_INCENTIVE_MARKETING_SUM, --会計上営業奨励累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日 <= 引数．締め年月前月の月末日 THEN 断面_請求回収情報_会計用．会計上営業奨励(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(DD,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) <= 0 THEN ISNULL(SRAI.INCENTIVE_MARKETING_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_INCENTIVE_MARKETING_NO_VAT_SUM, --会計上営業奨励(税抜)累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 < 引数．締め年月前月 THEN 断面_請求回収情報_会計用．会計上営業奨励 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.INCENTIVE_MARKETING,0) ELSE 0 END ) +
--＋ SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 = 引数．締め年月前月 THEN 断面_請求回収情報_会計用．会計上前半営業奨励 ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.INCENTIVE_MARKETING_PRE,0) ELSE 0 END )
AS ACCOUNTING_INCENTIVE_MARKETING_RESULT_SUM, --会計上実現営業奨励累計
--SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 < 引数．締め年月前月 THEN 断面_請求回収情報_会計用．会計上営業奨励(税抜) ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) < 0 THEN ISNULL(SRAI.INCENTIVE_MARKETING_NO_VAT,0) ELSE 0 END ) +
--＋ SUM(CASE 断面_請求回収情報_会計用．会計計上日の年月 = 引数．締め年月前月 THEN 断面_請求回収情報_会計用．会計上前半営業奨励 (税抜)ELSE 0 END)
SUM(CASE WHEN DATEDIFF(MM,/*dto.preTighteningDate*/'',SRAI.ACCOUNTING_DATE) = 0 THEN ISNULL(SRAI.INCENTIVE_MARKETING_PRE_NO_VAT,0) ELSE 0 END )
AS ACCOUNTING_INCENTIVE_MARKETING_NO_VAT_RESULT_SUM --会計上実現営業奨励(税抜)累計
--OALT Step1 2016/11/11 sys-gong add end
FROM REQUESRT_ACCOUNTING_VIEW SRAI
WHERE
--締め用請求回収情報_会計用．締め年月 = 引数．締め年月の前月
SRAI.TIGHTENING_YM = CONVERT(VARCHAR(6),/*dto.preTighteningDate*/'',112)
GROUP BY SRAI.CONTRACT_NO
) T_SRAI
ON
--契約情報．契約番号 = 請求回収情報_会計用．契約番号
SCI.CONTRACT_NO = T_SRAI.CONTRACT_NO
-----------------------------------------------------------------------------------
LEFT JOIN
--締め用その他入金情報
--SNAP_OTHER_WITHDRAW_INFO SOWI
(
SELECT
SOWI.CONTRACT_NO,
--SUM(CASE 締め用その他入金情報．入金小分類＝61：管理費 THEN 締め用その他入金情報．回収予定額 ELSE 0 END)
SUM(CASE WHEN SOWI.WITHDRAW_TYPE_DETAIL = /*dto.payTypeDetailAdmin*/'' THEN ISNULL(SOWI.WITHDRAW_SCHEDULE_AMOUNT,0) ELSE 0 END )
AS FEE_SUM --管理費累計
FROM SNAP_OTHER_WITHDRAW_INFO SOWI
WHERE
--締め用その他入金情報 ．締め年月 = 引数．締め年月の前月
SOWI.TIGHTENING_YM = CONVERT(VARCHAR(6),/*dto.preTighteningDate*/'',112)
--AND 締め用その他入金情報 ．回収不要フラグ = 【OFF】
AND SOWI.UN_WITHDRAW_FLG = /*dto.fUnWithdrawFlg*/''
GROUP BY SOWI.CONTRACT_NO
) T_SOWI
ON
--契約情報．契約番号 = 締め用その他入金情報．契約番号
SCI.CONTRACT_NO = T_SOWI.CONTRACT_NO
WHERE
--契約情報．締め年月 = 引数．締め年月の前月
SCI.TIGHTENING_YM = CONVERT(VARCHAR(6),/*dto.preTighteningDate*/'',112)
--AND 契約情報．部店コード = 引数．部店コード
AND SCI.CHARGE_AGENCY = /*dto.branch*/''
--AND 契約情報．新規計上日の年月<= 引数．締め年月の前月
AND DATEDIFF(MM, /*dto.preTighteningDate*/'', SCI.SALE_DATE ) <= 0
--AND 契約情報．契約取消日 IS NULL
AND SCI.CANCEL_DATE IS NULL
)
SELECT
/*IF (topRow != null && topRow != "")*/
TOP /*$topRow*/
/*END*/
--A.顧客ID
A.CUSTOMER_CODE,
--A.拠点コード
A.CHARGE_AGENCY,
--A.顧客名
A.CUSTOMER_NAME,
--A.拠点名
A.BRANCH_NAME,
--A.親会社名
A.PARENT_COMPANY_NAME,
--A.契約番号
A.CONTRACT_NO,
--A.取引形態
A.TRADE_MORPHOLOGY,
--A.起案部門
A.CODE_NAME,
--A金利種別
A.RATE_TYPE,
--A.税率
A.TAX_RATE,
--A.案件名称
A.CASES_NAME,
--A.取引通貨
A.CURRENCY_NAME,
--A.検収時会計換算レート
A.RATE_ACCEPTANCE,
--A.現換算レート
A.RATE_INSTANT,
--A.検収日
A.ACCEPTANCE_CHECK_DATE,
--A.満了日
A.END_DATE,
--A.契約状況
A.CONTRACT_CONDITION,
--B1.営業上回収総額 ＋ A.残価 AS 回収総額
ISNULL(B1.WITHDRAW_SCHEDULE_AMOUNT_ALL,0) + ISNULL( A.REMAINDER_AMOUNT,0) AS WITHDRAW_SCHEDULE_AMOUNT,
--B1.営業上回収総額(税抜) ＋ A.残価(税抜) AS 回収総額（税抜）
ISNULL(B1.WITHDRAW_SCHEDULE_AMOUNT_NO_VAT_ALL,0) + ISNULL( A.REMAINDER_AMOUNT_NO_VAT,0) AS WITHDRAW_SCHEDULE_AMOUNT_NO_VAT,
--B1.営業上増値税回収総額(税抜) + (A.残価- A.残価(税抜)) AS 回収総額増値税
ISNULL(B1.VAT_WITHDRAW_SCHEDULE_AMOUNT_ALL,0) + ISNULL(A.REMAINDER_AMOUNT,0) - ISNULL(A.REMAINDER_AMOUNT_NO_VAT,0) AS VAT_WITHDRAW_SCHEDULE_AMOUNT,
--B1.営業上残回数
B1.COUPON_REMAINDER,
--B1.会計満了日
B1.ACC_END_DATE,
--B1.営業上リース料(税抜)回収累計 - B2.営業上リース料(税抜)回収累計 AS 当月回収額(税抜)
ISNULL(B1.WITHDRAW_AMOUNT_NOVAT_SUM,0) - ISNULL(B2.WITHDRAW_AMOUNT_NOVAT_SUM,0) AS RECEIVABLES_EXCL_VAT,
--B1.営業上増値税回収累計 - B2.営業上増値税回収累計 AS 当月回収額増値税
ISNULL(B1.VAT_WITHDRAW_SCHEDULE_AMOUNT_SUM,0) - ISNULL(B2.VAT_WITHDRAW_SCHEDULE_AMOUNT_SUM,0) AS RECEIVABLES_VAT,
--B1.営業上リース料回収累計 - B2.営業上リース料回収累計 AS 当月回収額(税込)
ISNULL(B1.WITHDRAW_AMOUNT_SUM,0) - ISNULL( B2.WITHDRAW_AMOUNT_SUM,0) AS RECEIVABLES_INC_VAT,
--B1.営業上元本(税抜)回収累計 - B2.営業上元本(税抜)回収累計 AS 当月回収元本(税抜)
ISNULL(B1.PRINCIPAL_NO_VAT_SUM,0) - ISNULL( B2.PRINCIPAL_NO_VAT_SUM,0) AS RECEIVABLES_PRINCIPAL_EXCL_VAT,
--B1.営業上元本増値税回収累計 - B2.営業上元本増値税回収累計 AS 当月回収元本増値税
ISNULL(B1.VAT_PRINCIPAL_SUM,0) - ISNULL( B2.VAT_PRINCIPAL_SUM,0) AS RECEIVABLES_PRINCIPAL_VAT,
--B1.営業上元本回収累計 - B2.営業上元本回収累計 AS 当月回収元本(税込)
ISNULL(B1.PRINCIPAL_SUM,0) - ISNULL(B2.PRINCIPAL_SUM,0) AS RECEIVABLES_PRINCIPAL_INC_VAT,
--B1.営業上利息(税抜)回収累計 - B2.営業上利息(税抜)回収累計 AS 当月回収利息(税抜)
ISNULL(B1.INTEREST_NO_VAT_SUM,0) - ISNULL(B2.INTEREST_NO_VAT_SUM,0) AS RECEIVABLES_INTEREST_EXCL_VAT,
--B1.営業上利息増値税回収累計 - B2.営業上利息増値税回収累計 AS 当月回収利息増値税
ISNULL(B1.VAT_INTEREST_SUM,0) - ISNULL(B2.VAT_INTEREST_SUM,0) AS RECEIVABLES_INTEREST_VAT,
--B1.営業上利息回収累計 - B2.営業上利息回収累計 AS 当月回収利息(税込)
ISNULL(B1.INTEREST_SUM,0) - ISNULL(B2.INTEREST_SUM,0) AS RECEIVABLES_INTEREST_INC_VAT,
--OALT Step1 2016/11/11 sys-gong add start
--B1.営業上コミッション回収累計 - B2.営業上コミッション回収累計 AS 当月回収コミッション
ISNULL(B1.COMMISSION_CAR_DEALER_SUM,0) - ISNULL(B2.COMMISSION_CAR_DEALER_SUM,0) AS RECEIVABLES_COMMISSION,
--B1.営業上印紙税回収累計 - B2.営業上印紙税回収累計 AS 当月回収印紙税
ISNULL(B1.DUTY_STAMP_SUM,0) - ISNULL(B2.DUTY_STAMP_SUM,0) AS RECEIVABLES_DUTY_STAMP,
--B1.営業上営業奨励 回収累計 - B2.営業上営業奨励 回収累計 AS 当月回収営業奨励
ISNULL(B1.INCENTIVE_MARKETING_SUM,0) - ISNULL(B2.INCENTIVE_MARKETING_SUM,0) AS RECEIVABLES_INCENTIVE,
--OALT Step1 2016/11/11 sys-gong add end
--B1.営業上未回収利息(税抜)残高 AS 回収利息残高(税抜)
ISNULL(B1.INTEREST_NO_VAT_REMAINDER,0) AS OS_RECEIVABLES_INTEREST_EXCL_VAT,
--B1.営業上未回収利息増値税残高 AS 回収利息増値税残高
ISNULL(B1.VAT_INTEREST_REMAINDER,0) AS OS_RECEIVABLES_INTEREST_VAT,
--B1.営業上未回収利息残高 AS 回収利息残高(税込)
ISNULL(B1.INTEREST_REMAINDER,0) AS OS_RECEIVABLES_INTEREST_INC_VAT,
--B1.会計上実現利息(税抜)累計 - B2.会計上実現利息(税抜)累計 AS 当月会計上既収収益(税抜)
ISNULL(B1.ACCOUNTING_INTEREST_NO_VAT_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_INTEREST_NO_VAT_RESULT_SUM,0)
AS INCOME_EARNED_EXCL_VAT,
--(B1.会計上実現利息累計 - B2.会計上実現利息累計) - (B1.会計上実現利息(税抜)累計 -B2.会計上実現利息(税抜)累計)
-- AS 当月会計上既収収益増値税
ISNULL(B1.ACCOUNTING_INTEREST_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_INTEREST_RESULT_SUM,0) -
( ISNULL(B1.ACCOUNTING_INTEREST_NO_VAT_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_INTEREST_NO_VAT_RESULT_SUM,0))
AS INCOME_EARNED_VAT,
--B1.会計上実現利息累計 - B2.会計上実現利息累計 AS 当月会計上既収収益(税込)
ISNULL(B1.ACCOUNTING_INTEREST_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_INTEREST_RESULT_SUM,0)
AS INCOME_EARNED_INC_VAT,
--B1.会計上利息(税抜)回収累計 - B2.会計上利息(税抜)回収累計 - (B1.会計上実現利息(税抜)累計 - B2.会計上実現利息(税抜)累計)
-- AS 当月会計上未収収益(税抜)
ISNULL(B1.ACCOUNTING_INTEREST_NO_VAT_SUM,0) - ISNULL(B2.ACCOUNTING_INTEREST_NO_VAT_SUM,0) -
( ISNULL(B1.ACCOUNTING_INTEREST_NO_VAT_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_INTEREST_NO_VAT_RESULT_SUM,0))
AS INCOME_ACCRUED_EXCL_VAT,
--[B1.会計上利息(税抜)回収累計 - B2.会計上利息(税抜)回収累計 -
--(B1.会計上実現利息(税抜)累計 - B2.会計上実現利息(税抜)累計)] -
--[B1.会計上利息回収累計 - B2.会計上利息回収累計 -
--(B1.会計上実現利息累計 - B2.会計上実現利息累計)] AS 当月会計上未収収益増値税
(ISNULL(B1.ACCOUNTING_INTEREST_SUM,0) - ISNULL(B2.ACCOUNTING_INTEREST_SUM,0) -
(ISNULL(B1.ACCOUNTING_INTEREST_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_INTEREST_RESULT_SUM,0))) -
(ISNULL(B1.ACCOUNTING_INTEREST_NO_VAT_SUM,0) -ISNULL(B2.ACCOUNTING_INTEREST_NO_VAT_SUM,0) -
(ISNULL(B1.ACCOUNTING_INTEREST_NO_VAT_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_INTEREST_NO_VAT_RESULT_SUM,0)))
AS INCOME_ACCRUED_VAT,
--B1.会計上利息回収累計 - B2.会計上利息回収累計 -
--(B1.会計上実現利息累計 - B2.会計上実現利息累計) AS 当月会計上未収収益(税込)
ISNULL(B1.ACCOUNTING_INTEREST_SUM,0) - ISNULL(B2.ACCOUNTING_INTEREST_SUM,0) -
(ISNULL(B1.ACCOUNTING_INTEREST_RESULT_SUM,0) - ISNULL( B2.ACCOUNTING_INTEREST_RESULT_SUM,0))
AS INCOME_ACCRUED_INC_VAT,
--B1.会計上利息(税抜)回収累計 - B2.会計上利息(税抜)回収累計 AS 当月収益計上額(税抜)
ISNULL(B1.ACCOUNTING_INTEREST_NO_VAT_SUM,0) - ISNULL(B2.ACCOUNTING_INTEREST_NO_VAT_SUM,0) AS INCOME_CUR_EXCL_VAT,
--B1.会計上利息増値税回収累計 - B2.会計上利息増値税回収累計 AS 当月利益計上額増値税
ISNULL(B1.VAT_AMOUNT_INTEREST_SUM,0) - ISNULL(B2.VAT_AMOUNT_INTEREST_SUM,0) AS INCOME_CUR_VAT,
--B1.会計上利息回収累計 - B2.会計上利息回収累計 AS 当月利益計上額(税込)
ISNULL(B1.ACCOUNTING_INTEREST_SUM,0) - ISNULL(B2.ACCOUNTING_INTEREST_SUM,0) AS INCOME_CUR_INC_VAT,
--OALT Step1 2016/11/11 sys-gong add start
--B1.会計上実現コミッション累計 - B2.会計上実現コミッション累計 AS 当月会計上既収コミッション
ISNULL(B1.ACCOUNTING_COMMISSION_CAR_DEALER_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_COMMISSION_CAR_DEALER_RESULT_SUM,0) AS INCOME_COMMISSION,
--B1.会計上実現コミッション(税抜)累計 - B2.会計上実現コミッション(税抜)累計 AS 当月会計上既収コミッション(税抜)
ISNULL(B1.ACCOUNTING_COMMISSION_CAR_DEALER_NO_VAT_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_COMMISSION_CAR_DEALER_NO_VAT_RESULT_SUM,0) AS INCOME_COMMISSION_EXCL_VAT,
--B1.会計上コミッション回収累計-B2.会計上コミッション回収累計-(B1.会計上実現コミッション累計-B2.会計上実現コミッション累計) AS 当月会計上未収コミッション
ISNULL(B1.ACCOUNTING_COMMISSION_CAR_DEALER_SUM,0) - ISNULL(B2.ACCOUNTING_COMMISSION_CAR_DEALER_SUM,0)
- (ISNULL(B1.ACCOUNTING_COMMISSION_CAR_DEALER_RESULT_SUM,0)- ISNULL(B2.ACCOUNTING_COMMISSION_CAR_DEALER_RESULT_SUM,0))
AS INCOME_COMMISSION_ACCRUED,
--B1.会計上コミッション(税抜)回収累計-B2.会計上コミッション(税抜)回収累計-(B1.会計上実現コミッション(税抜)累計-B2.会計上実現コミッション(税抜)累計) AS 当月会計上未収コミッション(税抜)
ISNULL(B1.ACCOUNTING_COMMISSION_CAR_DEALER_NO_VAT_SUM,0) - ISNULL(B2.ACCOUNTING_COMMISSION_CAR_DEALER_NO_VAT_SUM,0)
- (ISNULL(B1.ACCOUNTING_COMMISSION_CAR_DEALER_NO_VAT_RESULT_SUM,0)- ISNULL(B2.ACCOUNTING_COMMISSION_CAR_DEALER_NO_VAT_RESULT_SUM,0))
AS INCOME_COMMISSION_ACCRUED_EXCL_VAT,
--B1.会計上コミッション回収累計 - B2.会計上コミッション回収累計 AS 当月会計上コミッション計上額
ISNULL(B1.ACCOUNTING_COMMISSION_CAR_DEALER_SUM,0) - ISNULL(B2.ACCOUNTING_COMMISSION_CAR_DEALER_SUM,0) AS INCOME_COMMISSION_CUR,
--B1.会計上コミッション(税抜)回収累計 - B2.会計上コミッション(税抜)回収累計 AS 当月会計上コミッション計上額(税抜)
ISNULL(B1.ACCOUNTING_COMMISSION_CAR_DEALER_NO_VAT_SUM,0) - ISNULL(B2.ACCOUNTING_COMMISSION_CAR_DEALER_NO_VAT_SUM,0) AS INCOME_COMMISSION_CUR_EXCL_VAT,
--B1.会計上実現印紙税累計 - B2.会計上実現印紙税累計 AS 当月会計上既収印紙税
ISNULL(B1.ACCOUNTING_DUTY_STAMP_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_DUTY_STAMP_RESULT_SUM,0) AS INCOME_DUTY_STAMP,
--B1.会計上実現印紙税(税抜)累計 - B2.会計上実現印紙税(税抜)累計 AS 当月会計上既収印紙税(税抜)
ISNULL(B1.ACCOUNTING_DUTY_STAMP_NO_VAT_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_DUTY_STAMP_NO_VAT_RESULT_SUM,0) AS INCOME_DUTY_STAMP_EXCL_VAT,
--B1.会計上印紙税回収累計-B2.会計上印紙税回収累計-(B1.会計上実現印紙税累計-B2.会計上実現印紙税累計) AS 当月会計上未収印紙税
ISNULL(B1.ACCOUNTING_DUTY_STAMP_SUM,0) - ISNULL(B2.ACCOUNTING_DUTY_STAMP_SUM,0)
- (ISNULL(B1.ACCOUNTING_DUTY_STAMP_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_DUTY_STAMP_RESULT_SUM,0))
AS INCOME_DUTY_STAMP_ACCRUED,
--B1.会計上印紙税(税抜)回収累計-B2.会計上印紙税(税抜)回収累計-(B1.会計上実現印紙税(税抜)累計-B2.会計上実現印紙税(税抜)累計) AS 当月会計上未収印紙税(税抜)
ISNULL(B1.ACCOUNTING_DUTY_STAMP_NO_VAT_SUM,0) - ISNULL(B2.ACCOUNTING_DUTY_STAMP_NO_VAT_SUM,0)
- (ISNULL(B1.ACCOUNTING_DUTY_STAMP_NO_VAT_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_DUTY_STAMP_NO_VAT_RESULT_SUM,0))
AS INCOME_DUTY_STAMP_ACCRUED_EXCL_VAT,
--B1.会計上印紙税回収累計 - B2.会計上印紙税回収累計 AS 当月会計上印紙税計上額
ISNULL(B1.ACCOUNTING_DUTY_STAMP_SUM,0) - ISNULL(B2.ACCOUNTING_DUTY_STAMP_SUM,0) AS INCOME_DUTY_STAMP_CUR,
--B1.会計上印紙税(税抜)回収累計 - B2.会計上印紙税(税抜)回収累計 AS 当月会計上印紙税計上額(税抜)
ISNULL(B1.ACCOUNTING_DUTY_STAMP_NO_VAT_SUM,0) - ISNULL(B2.ACCOUNTING_DUTY_STAMP_NO_VAT_SUM,0) AS INCOME_DUTY_STAMP_CUR_EXCL_VAT,
--B1.会計上実現営業奨励累計 - B2.会計上実現営業奨励累計 AS 当月会計上既収営業奨励
ISNULL(B1.ACCOUNTING_INCENTIVE_MARKETING_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_INCENTIVE_MARKETING_RESULT_SUM,0) AS INCOME_INCENTIVE,
--B1.会計上実現営業奨励(税抜)累計 - B2.会計上実現営業奨励(税抜)累計 AS 当月会計上既収営業奨励(税抜)
ISNULL(B1.ACCOUNTING_INCENTIVE_MARKETING_NO_VAT_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_INCENTIVE_MARKETING_NO_VAT_RESULT_SUM,0) AS INCOME_INCENTIVE_EXCL_VAT,
--B1.B1.会計上営業奨励回収累計-B2.会計上営業奨励回収累計-(B1.会計上実現印紙税累計-B2.会計上実現印紙税累計) AS 当月会計上未収営業奨励
ISNULL(B1.ACCOUNTING_INCENTIVE_MARKETING_SUM,0) - ISNULL(B2.ACCOUNTING_INCENTIVE_MARKETING_SUM,0)
- (ISNULL(B1.ACCOUNTING_INCENTIVE_MARKETING_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_INCENTIVE_MARKETING_RESULT_SUM,0))
AS INCOME_INCENTIVE_ACCRUED,
--B1.B1.会計上営業奨励(税抜)回収累計-B2.会計上営業奨励(税抜)回収累計-(B1.会計上実現印紙税(税抜)累計-B2.会計上実現印紙税(税抜)累計) AS 当月会計上未収営業奨励(税抜)
ISNULL(B1.ACCOUNTING_INCENTIVE_MARKETING_NO_VAT_SUM,0) - ISNULL(B2.ACCOUNTING_INCENTIVE_MARKETING_NO_VAT_SUM,0)
- (ISNULL(B1.ACCOUNTING_INCENTIVE_MARKETING_NO_VAT_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_INCENTIVE_MARKETING_NO_VAT_RESULT_SUM,0))
AS INCOME_INCENTIVE_ACCRUED_EXCL_VAT,
--B1.会計上営業奨励回収累計 - B2.会計上営業奨励回収累計 AS 当月会計上営業奨励計上額
ISNULL(B1.ACCOUNTING_INCENTIVE_MARKETING_SUM,0) - ISNULL(B2.ACCOUNTING_INCENTIVE_MARKETING_SUM,0) AS INCOME_INCENTIVE_CUR,
--B1.会計上営業奨励回収累計(税抜) - B2.会計上営業奨励(税抜)回収累計 AS 当月会計上営業奨励計上額(税抜)
ISNULL(B1.ACCOUNTING_INCENTIVE_MARKETING_NO_VAT_SUM,0) - ISNULL(B2.ACCOUNTING_INCENTIVE_MARKETING_NO_VAT_SUM,0) AS INCOME_INCENTIVE_CUR_EXCL_VAT,
--OALT Step1 2016/11/11 sys-gong add end
--B1.年度会計上利息(税抜) AS 当年度収益計上額(税抜)
ISNULL(B1.ACCOUNTING_INTEREST_NO_VAT_YY,0) AS INCOME_YTD_EXCL_VAT,
--B1.年度会計上利息増値税 AS 当年度利益計上額増値税
ISNULL(B1.VAT_AMOUNT_INTEREST_YY,0) AS INCOME_YTD_VAT,
--B1.年度会計上利息 AS 当年度利益計上額(税込)
ISNULL(B1.ACCOUNTING_INTEREST_YY,0) AS INCOME_YTD_INC_VAT,
--B1.会計上未回収利息(税抜)残高 AS 収益残高(税抜)
ISNULL(B1.ACCOUNTING_INTEREST_NO_VAT_REMAINDER,0) AS OS_INCOME_EXCL_VAT,
--B1.会計上未回収利息増値税残高 AS 収益残高増値税
ISNULL(B1.VAT_AMOUNT_INTEREST_REMAINDER,0) AS OS_INCOME_VAT,
--B1.会計上未回収利息残高 AS 収益残高(税込)
ISNULL(B1.ACCOUNTING_INTEREST_REMAINDER,0) AS OS_INCOME_INC_VAT,
--B1.会計上未回収利息(税抜)残高 - B1.営業上未回収利息(税抜)残高 AS 未収リース収益（税抜）
ISNULL(B1.ACCOUNTING_INTEREST_NO_VAT_REMAINDER,0) - ISNULL(B1.INTEREST_NO_VAT_REMAINDER,0) AS OS_RECEIVABLE_INCOME_EXCL_VAT,
--B1.会計上未回収利息増値税残高 - B1.営業上未回収利息増値税残高 AS 未収リース収益増値税
ISNULL(B1.VAT_AMOUNT_INTEREST_REMAINDER,0) - ISNULL(B1.VAT_INTEREST_REMAINDER,0) AS OS_RECEIVABLE_INCOME_VAT,
--B1.会計上未回収利息残高 - B1.営業上未回収利息残高 AS 未収リース収益（税込）
ISNULL(B1.ACCOUNTING_INTEREST_REMAINDER,0) - ISNULL(B1.INTEREST_REMAINDER,0) AS OS_RECEIVABLE_INCOME_INC_VAT,
--B1.営業上未回収元本(税抜)残高 +DATEDIFF(DD,N_AIF.SANCTION_DATE,CIF.END_DATE)>0
--( CASE WHEN 引数の業務日>A.残価回収予定日 THEN 0 ELSE A.残価(税抜) END) AS 当月末元本残高(税抜)
ISNULL(B1.PRINCIPAL_NO_VAT_REMAINDER,0) +
( CASE WHEN DATEDIFF(DD,/*dto.workDate*/'',A.REMAINDER_AMOUNT_SCHEDULE_DATE) < 0 THEN 0 ELSE A.REMAINDER_AMOUNT_NO_VAT END )
AS OS_PRINCIPAL_EXCL_VAT_REMAINDER_INC,
--B1.営業上未回収元本増値税残高 +
--( CASE WHEN 引数の業務日>A.残価回収予定日 THEN 0 ELSE A.残価 -A.残価(税抜) END) AS 当月末元本残高増値税
ISNULL(B1.VAT_PRINCIPAL_REMAINDER,0) +
( CASE WHEN DATEDIFF(DD,/*dto.workDate*/'',A.REMAINDER_AMOUNT_SCHEDULE_DATE) < 0 THEN 0 ELSE A.REMAINDER_AMOUNT - A.REMAINDER_AMOUNT_NO_VAT END )
AS OS_PRINCIPAL_VAT_REMAINDER_INC,
--B1.営業上未回収元本残高 +
--( CASE WHEN 引数の業務日>A.残価回収予定日 THEN 0 ELSE A.残価 END) AS 当月末元本残高(税込)
ISNULL(B1.PRINCIPAL_REMAINDER,0) +
( CASE WHEN DATEDIFF(DD,/*dto.workDate*/'',A.REMAINDER_AMOUNT_SCHEDULE_DATE) < 0 THEN 0 ELSE A.REMAINDER_AMOUNT END )
AS OS_PRINCIPAL_INC_VAT_REMAINDER_INC,
--B1.営業上未回収リース料(税抜)残高 +
--( CASE WHEN 引数の業務日>A.残価回収予定日 THEN 0 ELSE A.残価(税抜) END) AS リース債権残高(税抜)
ISNULL(B1.WITHDRAW_SCHEDULE_AMOUNT_NO_VAT_REMAINDER,0) +
( CASE WHEN DATEDIFF(DD,/*dto.workDate*/'',A.REMAINDER_AMOUNT_SCHEDULE_DATE) < 0 THEN 0 ELSE A.REMAINDER_AMOUNT_NO_VAT END )
AS OS_RECEIVABLES_EXCL_VAT_REMAINDER_INC,
--B1.営業上未回収増値税残高 +
--( CASE WHEN 引数の業務日>A.残価回収予定日 THEN 0 ELSE A.残価 -A.残価(税抜) END) AS リース債権残高増値税
ISNULL(B1.VAT_WITHDRAW_SCHEDULE_AMOUNT_REMAINDER,0) +
( CASE WHEN DATEDIFF(DD,/*dto.workDate*/'',A.REMAINDER_AMOUNT_SCHEDULE_DATE) < 0 THEN 0 ELSE A.REMAINDER_AMOUNT - A.REMAINDER_AMOUNT_NO_VAT END )
AS OS_RECEIVABLES_VAT_REMAINDER_INC,
--B1.営業上未回収リース料残高 +
--( CASE WHEN 引数の業務日>A.残価回収予定日 THEN 0 ELSE A.残価 END) AS リース債権残高(税込)
ISNULL(B1.WITHDRAW_SCHEDULE_AMOUNT_REMAINDER,0) +
( CASE WHEN DATEDIFF(DD,/*dto.workDate*/'',A.REMAINDER_AMOUNT_SCHEDULE_DATE) < 0 THEN 0 ELSE A.REMAINDER_AMOUNT END )
AS OS_RECEIVABLES_INC_VAT_REMAINDER_INC,
--B1.会計上実現振分管理費累計 - B2.会計上実現振分管理費累計 AS 会計上既収管理費
ISNULL(B1.ACCOUNTING_ADMIN_FEE_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_ADMIN_FEE_RESULT_SUM,0) AS ADM_FEE_EARNED,
--B1.会計上振分管理費累計 - B2.会計上振分管理費累計 -
--（B1.会計上実現振分管理費累計 - B2.会計上実現振分管理費累計） AS 会計上未収管理費
ISNULL(B1.ACCOUNTING_ADMIN_FEE_SUM,0) - ISNULL(B2.ACCOUNTING_ADMIN_FEE_SUM,0) -
(ISNULL(B1.ACCOUNTING_ADMIN_FEE_RESULT_SUM,0) - ISNULL(B2.ACCOUNTING_ADMIN_FEE_RESULT_SUM,0))
AS ADM_FEE_ACCRUED,
--B1.会計上振分管理費累計 - B2.会計上振分管理費累計 AS 当月計上管理費
ISNULL(B1.ACCOUNTING_ADMIN_FEE_SUM,0) - ISNULL(B2.ACCOUNTING_ADMIN_FEE_SUM,0) AS ADM_FEE_INCOME,
--B1.管理費累計-B1.会計上未収振分管理費残高 AS 当年度計上管理費
ISNULL(B1.FEE_SUM,0) - ISNULL(B1.ACCOUNTING_ADMIN_FEE_SUM_REMAINDER,0) AS ADM_FEE_YTD,
--B1.会計上未収振分管理費残高 AS 管理費残高
ISNULL(B1.ACCOUNTING_ADMIN_FEE_SUM_REMAINDER,0) AS OS_ADM_FEE,
--B1.当月リース料(税抜)_消込済 AS 当月回収リース料（税抜）
ISNULL(B1.CUR_AMOUNT_NOVAT_TRANSFER,0) AS ACTUAL_RECEIVABLE_EXCL_VAT,
--B1.当月リース料増値税_消込済 AS 当月回収リース料増値税
ISNULL(B1.CUR_LEASE_VAT_TRANSFER,0) AS ACTUAL_RECEIVABLE_VAT,
--B1.当月リース料_消込済 AS 当月回収リース料（税込）
ISNULL(B1.CUR_AMOUNT_TRANSFER,0) AS ACTUAL_RECEIVABLE_INC_VAT,
--B1.当月遅延損害金(税抜)_消込済 AS 当月回収延滞損害金（税抜）
ISNULL(B1.CUR_OVERDUE_NOVAT_TRANSFER,0) AS ACTUAL_DELAYED_RECEIVABLE_EXCL_VAT,
--B1.当月遅延損害金増値税_消込済 AS 当月回収延滞損害金増値税
ISNULL(B1.CUR_OVERDUE_VAT_TRANSFER,0) AS ACTUAL_DELAYED_RECEIVABLE_VAT,
--B1.当月遅延損害金_消込済 AS 当月回収延滞損害金（税込）
ISNULL(B1.CUR_OVERDUE_TRANSFER,0) AS ACTUAL_DELAYED_RECEIVABLE_INC_VAT,
--B1.営業上リース料(税抜)回収累計 - B1.リース料(税抜)_消込済累計,上記値<0の場合、０で出力 AS 未収リース料（税抜）
CASE WHEN ISNULL(B1.WITHDRAW_AMOUNT_NOVAT_SUM,0) - ISNULL(B1.AMOUNT_NOVAT_TRANSFER_SUM,0) < 0
THEN 0
ELSE ISNULL(B1.WITHDRAW_AMOUNT_NOVAT_SUM,0) - ISNULL(B1.AMOUNT_NOVAT_TRANSFER_SUM,0)
END AS OS_RECEIVABLE_EXCL_VAT,
--B1.営業上増値税回収累計 - B1.リース料増値税_消込済累計,上記値<0の場合、０で出力 AS 未収リース料増値税
CASE WHEN ISNULL(B1.VAT_WITHDRAW_SCHEDULE_AMOUNT_SUM,0) - ISNULL(B1.AMOUNT_VAT_TRANSFER_SUM,0) < 0
THEN 0
ELSE ISNULL(B1.VAT_WITHDRAW_SCHEDULE_AMOUNT_SUM,0) - ISNULL(B1.AMOUNT_VAT_TRANSFER_SUM,0)
END AS OS_RECEIVABLE_VAT,
--B1.営業上リース料回収累計 - B1.リース料_消込済累計,上記値<0の場合、０で出力 AS 未収リース料（税込）
CASE WHEN ISNULL(B1.WITHDRAW_AMOUNT_SUM,0) - ISNULL(B1.AMOUNT_TRANSFER_SUM,0) < 0
THEN 0
ELSE ISNULL(B1.WITHDRAW_AMOUNT_SUM,0) - ISNULL(B1.AMOUNT_TRANSFER_SUM,0)
END AS OS_RECEIVABLE_INC_VAT,
--B1.リース料(税抜)_消込済累計-B1.営業上リース料(税抜)回収累計,上記値<0の場合、０で出力 AS 前受リース料（税抜）
CASE WHEN ISNULL(B1.AMOUNT_NOVAT_TRANSFER_SUM,0) - ISNULL(B1.WITHDRAW_AMOUNT_NOVAT_SUM,0) < 0
THEN 0
ELSE ISNULL(B1.AMOUNT_NOVAT_TRANSFER_SUM,0) - ISNULL(B1.WITHDRAW_AMOUNT_NOVAT_SUM,0)
END AS OVER_PAYMENT_EXCL_VAT,
--B1.リース料増値税_消込済累計-B1.営業上増値税回収累計,上記値<0の場合、０で出力 AS 前受リース料増値税
CASE WHEN ISNULL(B1.AMOUNT_VAT_TRANSFER_SUM,0) - ISNULL(B1.VAT_WITHDRAW_SCHEDULE_AMOUNT_SUM,0) < 0
THEN 0
ELSE ISNULL(B1.AMOUNT_VAT_TRANSFER_SUM,0) - ISNULL(B1.VAT_WITHDRAW_SCHEDULE_AMOUNT_SUM,0)
END AS OVER_PAYMENT_VAT,
--B1.リース料_消込済累計-B1.営業上リース料回収累計,上記値<0の場合、０で出力 AS 前受リース料（税込）
CASE WHEN ISNULL(B1.AMOUNT_TRANSFER_SUM,0) - ISNULL(B1.WITHDRAW_AMOUNT_SUM,0) < 0
THEN 0
ELSE ISNULL(B1.AMOUNT_TRANSFER_SUM,0) - ISNULL(B1.WITHDRAW_AMOUNT_SUM,0)
END AS OVER_PAYMENT_INC_VAT,
--OALT Step1 2016/11/04 sys-gong add start
--B1.営業上翌月利息（税抜）
B1.INTEREST_NO_VAT_NEXT,
--B1.営業上翌月利息
B1.INTEREST_NEXT,
--B1.営業上翌月コミッション
B1.COMMISSION_CAR_DEALER_NEXT,
--B1.営業上翌月印紙税
B1.DUTY_STAMP_NEXT,
--B1.営業上翌月営業奨励
B1.INCENTIVE_MARKETING_NEXT
--OALT Step1 2016/11/04 sys-gong add end
FROM
--契約情報V
CONTRACT_VIEW A
LEFT JOIN CURRENT_MONTH_VIEW B1 --当月末集計情報V(B1)
ON --(契約情報V．契約番号 = 当月末集計情報V(B1)．契約番号)
A.CONTRACT_NO = B1.CONTRACT_NO
LEFT JOIN PRE_MONTH_VIEW B2 --前月末集計情報V(B2)
ON --(契約情報V．契約番号 = 前月末集計情報V(B2)．契約番号)
A.CONTRACT_NO = B2.CONTRACT_NO
ORDER BY
--A.拠点コード
A.CHARGE_AGENCY,
--A.顧客ID
A.CUSTOMER_CODE,
--A.契約番号
A.CONTRACT_NO |
SELECT SUM(VacationHours) AS SumVacationHours -- 12646 should be the result
FROM HumanResources.EmpCopy |
DROP DATABASE IF EXISTS `sql_invoicing`;
CREATE DATABASE `sql_invoicing`;
USE `sql_invoicing`;
SET NAMES utf8 ;
SET character_set_client
= utf8mb4 ;
CREATE TABLE `payment_methods`
(
`payment_method_id` tinyint
(4) NOT NULL AUTO_INCREMENT,
`name` varchar
(50) NOT NULL,
PRIMARY KEY
(`payment_method_id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `
payment_methods`
VALUES
(1, 'Credit Card');
INSERT INTO `
payment_methods`
VALUES
(2, 'Cash');
INSERT INTO `
payment_methods`
VALUES
(3, 'PayPal');
INSERT INTO `
payment_methods`
VALUES
(4, 'Wire Transfer');
CREATE TABLE `clients`
(
`client_id` int
(11) NOT NULL,
`name` varchar
(50) NOT NULL,
`address` varchar
(50) NOT NULL,
`city` varchar
(50) NOT NULL,
`state` char
(2) NOT NULL,
`phone` varchar
(50) DEFAULT NULL,
PRIMARY KEY
(`client_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `
clients`
VALUES
(1, 'Vinte', '3 Nevada Parkway', 'Syracuse', 'NY', '315-252-7305');
INSERT INTO `
clients`
VALUES
(2, 'Myworks', '34267 Glendale Parkway', 'Huntington', 'WV', '304-659-1170');
INSERT INTO `
clients`
VALUES
(3, 'Yadel', '096 Pawling Parkway', 'San Francisco', 'CA', '415-144-6037');
INSERT INTO `
clients`
VALUES
(4, 'Kwideo', '81674 Westerfield Circle', 'Waco', 'TX', '254-750-0784');
INSERT INTO `
clients`
VALUES
(5, 'Topiclounge', '0863 Farmco Road', 'Portland', 'OR', '971-888-9129');
CREATE TABLE `invoices`
(
`invoice_id` int
(11) NOT NULL,
`number` varchar
(50) NOT NULL,
`client_id` int
(11) NOT NULL,
`invoice_total` decimal
(9,2) NOT NULL,
`payment_total` decimal
(9,2) NOT NULL DEFAULT '0.00',
`invoice_date` date NOT NULL,
`due_date` date NOT NULL,
`payment_date` date DEFAULT NULL,
PRIMARY KEY
(`invoice_id`),
KEY `FK_client_id`
(`client_id`),
CONSTRAINT `FK_client_id` FOREIGN KEY
(`client_id`) REFERENCES `clients`
(`client_id`) ON
DELETE RESTRICT ON
UPDATE CASCADE
) ENGINE=InnoDB
DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `
invoices`
VALUES
(1, '91-953-3396', 2, 101.79, 0.00, '2019-03-09', '2019-03-29', NULL);
INSERT INTO `
invoices`
VALUES
(2, '03-898-6735', 5, 175.32, 8.18, '2019-06-11', '2019-07-01', '2019-02-12');
INSERT INTO `
invoices`
VALUES
(3, '20-228-0335', 5, 147.99, 0.00, '2019-07-31', '2019-08-20', NULL);
INSERT INTO `
invoices`
VALUES
(4, '56-934-0748', 3, 152.21, 0.00, '2019-03-08', '2019-03-28', NULL);
INSERT INTO `
invoices`
VALUES
(5, '87-052-3121', 5, 169.36, 0.00, '2019-07-18', '2019-08-07', NULL);
INSERT INTO `
invoices`
VALUES
(6, '75-587-6626', 1, 157.78, 74.55, '2019-01-29', '2019-02-18', '2019-01-03');
INSERT INTO `
invoices`
VALUES
(7, '68-093-9863', 3, 133.87, 0.00, '2019-09-04', '2019-09-24', NULL);
INSERT INTO `
invoices`
VALUES
(8, '78-145-1093', 1, 189.12, 0.00, '2019-05-20', '2019-06-09', NULL);
INSERT INTO `
invoices`
VALUES
(9, '77-593-0081', 5, 172.17, 0.00, '2019-07-09', '2019-07-29', NULL);
INSERT INTO `
invoices`
VALUES
(10, '48-266-1517', 1, 159.50, 0.00, '2019-06-30', '2019-07-20', NULL);
INSERT INTO `
invoices`
VALUES
(11, '20-848-0181', 3, 126.15, 0.03, '2019-01-07', '2019-01-27', '2019-01-11');
INSERT INTO `
invoices`
VALUES
(13, '41-666-1035', 5, 135.01, 87.44, '2019-06-25', '2019-07-15', '2019-01-26');
INSERT INTO `
invoices`
VALUES
(15, '55-105-9605', 3, 167.29, 80.31, '2019-11-25', '2019-12-15', '2019-01-15');
INSERT INTO `
invoices`
VALUES
(16, '10-451-8824', 1, 162.02, 0.00, '2019-03-30', '2019-04-19', NULL);
INSERT INTO `
invoices`
VALUES
(17, '33-615-4694', 3, 126.38, 68.10, '2019-07-30', '2019-08-19', '2019-01-15');
INSERT INTO `
invoices`
VALUES
(18, '52-269-9803', 5, 180.17, 42.77, '2019-05-23', '2019-06-12', '2019-01-08');
INSERT INTO `
invoices`
VALUES
(19, '83-559-4105', 1, 134.47, 0.00, '2019-11-23', '2019-12-13', NULL);
CREATE TABLE `payments`
(
`payment_id` int
(11) NOT NULL AUTO_INCREMENT,
`client_id` int
(11) NOT NULL,
`invoice_id` int
(11) NOT NULL,
`date` date NOT NULL,
`amount` decimal
(9,2) NOT NULL,
`payment_method` tinyint
(4) NOT NULL,
PRIMARY KEY
(`payment_id`),
KEY `fk_client_id_idx`
(`client_id`),
KEY `fk_invoice_id_idx`
(`invoice_id`),
KEY `fk_payment_payment_method_idx`
(`payment_method`),
CONSTRAINT `fk_payment_client` FOREIGN KEY
(`client_id`) REFERENCES `clients`
(`client_id`) ON
UPDATE CASCADE,
CONSTRAINT `fk_payment_invoice` FOREIGN KEY
(`invoice_id`) REFERENCES `invoices`
(`invoice_id`) ON
UPDATE CASCADE,
CONSTRAINT `fk_payment_payment_method` FOREIGN KEY
(`payment_method`) REFERENCES `payment_methods`
(`payment_method_id`)
) ENGINE=InnoDB AUTO_INCREMENT=9 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `
payments`
VALUES
(1, 5, 2, '2019-02-12', 8.18, 1);
INSERT INTO `
payments`
VALUES
(2, 1, 6, '2019-01-03', 74.55, 1);
INSERT INTO `
payments`
VALUES
(3, 3, 11, '2019-01-11', 0.03, 1);
INSERT INTO `
payments`
VALUES
(4, 5, 13, '2019-01-26', 87.44, 1);
INSERT INTO `
payments`
VALUES
(5, 3, 15, '2019-01-15', 80.31, 1);
INSERT INTO `
payments`
VALUES
(6, 3, 17, '2019-01-15', 68.10, 1);
INSERT INTO `
payments`
VALUES
(7, 5, 18, '2019-01-08', 32.77, 1);
INSERT INTO `
payments`
VALUES
(8, 5, 18, '2019-01-08', 10.00, 2);
DROP DATABASE IF EXISTS `sql_store`;
CREATE DATABASE `sql_store`;
USE `sql_store`;
CREATE TABLE `products`
(
`product_id` int
(11) NOT NULL AUTO_INCREMENT,
`name` varchar
(50) NOT NULL,
`quantity_in_stock` int
(11) NOT NULL,
`unit_price` decimal
(4,2) NOT NULL,
PRIMARY KEY
(`product_id`)
) ENGINE=InnoDB AUTO_INCREMENT=11 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `
products`
VALUES
(1, 'Foam Dinner Plate', 70, 1.21);
INSERT INTO `
products`
VALUES
(2, 'Pork - Bacon,back Peameal', 49, 4.65);
INSERT INTO `
products`
VALUES
(3, 'Lettuce - Romaine, Heart', 38, 3.35);
INSERT INTO `
products`
VALUES
(4, 'Brocolinni - Gaylan, Chinese', 90, 4.53);
INSERT INTO `
products`
VALUES
(5, 'Sauce - Ranch Dressing', 94, 1.63);
INSERT INTO `
products`
VALUES
(6, 'Petit Baguette', 14, 2.39);
INSERT INTO `
products`
VALUES
(7, 'Sweet Pea Sprouts', 98, 3.29);
INSERT INTO `
products`
VALUES
(8, 'Island Oasis - Raspberry', 26, 0.74);
INSERT INTO `
products`
VALUES
(9, 'Longan', 67, 2.26);
INSERT INTO `
products`
VALUES
(10, 'Broom - Push', 6, 1.09);
CREATE TABLE `shippers`
(
`shipper_id` smallint
(6) NOT NULL AUTO_INCREMENT,
`name` varchar
(50) NOT NULL,
PRIMARY KEY
(`shipper_id`)
) ENGINE=InnoDB AUTO_INCREMENT=6 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `
shippers`
VALUES
(1, 'Hettinger LLC');
INSERT INTO `
shippers`
VALUES
(2, 'Schinner-Predovic');
INSERT INTO `
shippers`
VALUES
(3, 'Satterfield LLC');
INSERT INTO `
shippers`
VALUES
(4, 'Mraz, Renner and Nolan');
INSERT INTO `
shippers`
VALUES
(5, 'Waters, Mayert and Prohaska');
CREATE TABLE `customers`
(
`customer_id` int
(11) NOT NULL AUTO_INCREMENT,
`first_name` varchar
(50) NOT NULL,
`last_name` varchar
(50) NOT NULL,
`birth_date` date DEFAULT NULL,
`phone` varchar
(50) DEFAULT NULL,
`address` varchar
(50) NOT NULL,
`city` varchar
(50) NOT NULL,
`state` char
(2) NOT NULL,
`points` int
(11) NOT NULL DEFAULT '0',
PRIMARY KEY
(`customer_id`)
) ENGINE=InnoDB AUTO_INCREMENT=11 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `
customers`
VALUES
(1, 'Babara', 'MacCaffrey', '1986-03-28', '781-932-9754', '0 Sage Terrace', 'Waltham', 'MA', 2273);
INSERT INTO `
customers`
VALUES
(2, 'Ines', 'Brushfield', '1986-04-13', '804-427-9456', '14187 Commercial Trail', 'Hampton', 'VA', 947);
INSERT INTO `
customers`
VALUES
(3, 'Freddi', 'Boagey', '1985-02-07', '719-724-7869', '251 Springs Junction', 'Colorado Springs', 'CO', 2967);
INSERT INTO `
customers`
VALUES
(4, 'Ambur', 'Roseburgh', '1974-04-14', '407-231-8017', '30 Arapahoe Terrace', 'Orlando', 'FL', 457);
INSERT INTO `
customers`
VALUES
(5, 'Clemmie', 'Betchley', '1973-11-07', NULL, '5 Spohn Circle', 'Arlington', 'TX', 3675);
INSERT INTO `
customers`
VALUES
(6, 'Elka', 'Twiddell', '1991-09-04', '312-480-8498', '7 Manley Drive', 'Chicago', 'IL', 3073);
INSERT INTO `
customers`
VALUES
(7, 'Ilene', 'Dowson', '1964-08-30', '615-641-4759', '50 Lillian Crossing', 'Nashville', 'TN', 1672);
INSERT INTO `
customers`
VALUES
(8, 'Thacher', 'Naseby', '1993-07-17', '941-527-3977', '538 Mosinee Center', 'Sarasota', 'FL', 205);
INSERT INTO `
customers`
VALUES
(9, 'Romola', 'Rumgay', '1992-05-23', '559-181-3744', '3520 Ohio Trail', 'Visalia', 'CA', 1486);
INSERT INTO `
customers`
VALUES
(10, 'Levy', 'Mynett', '1969-10-13', '404-246-3370', '68 Lawn Avenue', 'Atlanta', 'GA', 796);
CREATE TABLE `order_statuses`
(
`order_status_id` tinyint
(4) NOT NULL,
`name` varchar
(50) NOT NULL,
PRIMARY KEY
(`order_status_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `
order_statuses`
VALUES
(1, 'Processed');
INSERT INTO `
order_statuses`
VALUES
(2, 'Shipped');
INSERT INTO `
order_statuses`
VALUES
(3, 'Delivered');
CREATE TABLE `orders`
(
`order_id` int
(11) NOT NULL AUTO_INCREMENT,
`customer_id` int
(11) NOT NULL,
`order_date` date NOT NULL,
`status` tinyint
(4) NOT NULL DEFAULT '1',
`comments` varchar
(2000) DEFAULT NULL,
`shipped_date` date DEFAULT NULL,
`shipper_id` smallint
(6) DEFAULT NULL,
PRIMARY KEY
(`order_id`),
KEY `fk_orders_customers_idx`
(`customer_id`),
KEY `fk_orders_shippers_idx`
(`shipper_id`),
KEY `fk_orders_order_statuses_idx`
(`status`),
CONSTRAINT `fk_orders_customers` FOREIGN KEY
(`customer_id`) REFERENCES `customers`
(`customer_id`) ON
UPDATE CASCADE,
CONSTRAINT `fk_orders_order_statuses` FOREIGN KEY
(`status`) REFERENCES `order_statuses`
(`order_status_id`) ON
UPDATE CASCADE,
CONSTRAINT `fk_orders_shippers` FOREIGN KEY
(`shipper_id`) REFERENCES `shippers`
(`shipper_id`) ON
UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=11 DEFAULT CHARSET
=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `
orders`
VALUES
(1, 6, '2019-01-30', 1, NULL, NULL, NULL);
INSERT INTO `
orders`
VALUES
(2, 7, '2018-08-02', 2, NULL, '2018-08-03', 4);
INSERT INTO `
orders`
VALUES
(3, 8, '2017-12-01', 1, NULL, NULL, NULL);
INSERT INTO `
orders`
VALUES
(4, 2, '2017-01-22', 1, NULL, NULL, NULL);
INSERT INTO `
orders`
VALUES
(5, 5, '2017-08-25', 2, '', '2017-08-26', 3);
INSERT INTO `
orders`
VALUES
(6, 10, '2018-11-18', 1, 'Aliquam erat volutpat. In congue.', NULL, NULL);
INSERT INTO `
orders`
VALUES
(7, 2, '2018-09-22', 2, NULL, '2018-09-23', 4);
INSERT INTO `
orders`
VALUES
(8, 5, '2018-06-08', 1, 'Mauris enim leo, rhoncus sed, vestibulum sit amet, cursus id, turpis.', NULL, NULL);
INSERT INTO `
orders`
VALUES
(9, 10, '2017-07-05', 2, 'Nulla mollis molestie lorem. Quisque ut erat.', '2017-07-06', 1);
INSERT INTO `
orders`
VALUES
(10, 6, '2018-04-22', 2, NULL, '2018-04-23', 2);
CREATE TABLE `order_items`
(
`order_id` int
(11) NOT NULL AUTO_INCREMENT,
`product_id` int
(11) NOT NULL,
`quantity` int
(11) NOT NULL,
`unit_price` decimal
(4,2) NOT NULL,
PRIMARY KEY
(`order_id`,`product_id`),
KEY `fk_order_items_products_idx`
(`product_id`),
CONSTRAINT `fk_order_items_orders` FOREIGN KEY
(`order_id`) REFERENCES `orders`
(`order_id`) ON
UPDATE CASCADE,
CONSTRAINT `fk_order_items_products` FOREIGN KEY
(`product_id`) REFERENCES `products`
(`product_id`) ON
UPDATE CASCADE
) ENGINE=InnoDB AUTO_INCREMENT=11 DEFAULT CHARSET
=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `
order_items`
VALUES
(1, 4, 4, 3.74);
INSERT INTO `
order_items`
VALUES
(2, 1, 2, 9.10);
INSERT INTO `
order_items`
VALUES
(2, 4, 4, 1.66);
INSERT INTO `
order_items`
VALUES
(2, 6, 2, 2.94);
INSERT INTO `
order_items`
VALUES
(3, 3, 10, 9.12);
INSERT INTO `
order_items`
VALUES
(4, 3, 7, 6.99);
INSERT INTO `
order_items`
VALUES
(4, 10, 7, 6.40);
INSERT INTO `
order_items`
VALUES
(5, 2, 3, 9.89);
INSERT INTO `
order_items`
VALUES
(6, 1, 4, 8.65);
INSERT INTO `
order_items`
VALUES
(6, 2, 4, 3.28);
INSERT INTO `
order_items`
VALUES
(6, 3, 4, 7.46);
INSERT INTO `
order_items`
VALUES
(6, 5, 1, 3.45);
INSERT INTO `
order_items`
VALUES
(7, 3, 7, 9.17);
INSERT INTO `
order_items`
VALUES
(8, 5, 2, 6.94);
INSERT INTO `
order_items`
VALUES
(8, 8, 2, 8.59);
INSERT INTO `
order_items`
VALUES
(9, 6, 5, 7.28);
INSERT INTO `
order_items`
VALUES
(10, 1, 10, 6.01);
INSERT INTO `
order_items`
VALUES
(10, 9, 9, 4.28);
CREATE TABLE `sql_store`.`order_item_notes`
(
`note_id` INT NOT NULL,
`order_Id` INT NOT NULL,
`product_id` INT NOT NULL,
`note` VARCHAR
(255) NOT NULL,
PRIMARY KEY
(`note_id`));
INSERT INTO `order_item_notes` (`
note_id`,
`order_Id
`, `product_id`, `note`) VALUES
('1', '1', '2', 'first note');
INSERT INTO `order_item_notes` (`
note_id`,
`order_Id
`, `product_id`, `note`) VALUES
('2', '1', '2', 'second note');
DROP DATABASE IF EXISTS `sql_hr`;
CREATE DATABASE `sql_hr`;
USE `sql_hr`;
CREATE TABLE `offices`
(
`office_id` int
(11) NOT NULL,
`address` varchar
(50) NOT NULL,
`city` varchar
(50) NOT NULL,
`state` varchar
(50) NOT NULL,
PRIMARY KEY
(`office_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `
offices`
VALUES
(1, '03 Reinke Trail', 'Cincinnati', 'OH');
INSERT INTO `
offices`
VALUES
(2, '5507 Becker Terrace', 'New York City', 'NY');
INSERT INTO `
offices`
VALUES
(3, '54 Northland Court', 'Richmond', 'VA');
INSERT INTO `
offices`
VALUES
(4, '08 South Crossing', 'Cincinnati', 'OH');
INSERT INTO `
offices`
VALUES
(5, '553 Maple Drive', 'Minneapolis', 'MN');
INSERT INTO `
offices`
VALUES
(6, '23 North Plaza', 'Aurora', 'CO');
INSERT INTO `
offices`
VALUES
(7, '9658 Wayridge Court', 'Boise', 'ID');
INSERT INTO `
offices`
VALUES
(8, '9 Grayhawk Trail', 'New York City', 'NY');
INSERT INTO `
offices`
VALUES
(9, '16862 Westend Hill', 'Knoxville', 'TN');
INSERT INTO `
offices`
VALUES
(10, '4 Bluestem Parkway', 'Savannah', 'GA');
CREATE TABLE `employees`
(
`employee_id` int
(11) NOT NULL,
`first_name` varchar
(50) NOT NULL,
`last_name` varchar
(50) NOT NULL,
`job_title` varchar
(50) NOT NULL,
`salary` int
(11) NOT NULL,
`reports_to` int
(11) DEFAULT NULL,
`office_id` int
(11) NOT NULL,
PRIMARY KEY
(`employee_id`),
KEY `fk_employees_offices_idx`
(`office_id`),
KEY `fk_employees_employees_idx`
(`reports_to`),
CONSTRAINT `fk_employees_managers` FOREIGN KEY
(`reports_to`) REFERENCES `employees`
(`employee_id`),
CONSTRAINT `fk_employees_offices` FOREIGN KEY
(`office_id`) REFERENCES `offices`
(`office_id`) ON
UPDATE CASCADE
) ENGINE=InnoDB
DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `
employees`
VALUES
(37270, 'Yovonnda', 'Magrannell', 'Executive Secretary', 63996, NULL, 10);
INSERT INTO `employees` VALUES (33391,'D\'
arcy','Nortunen','Account
Executive',62871,37270,1);
INSERT INTO `employees` VALUES (37851,'Sayer','Matterson','Statistician
III',98926,37270,1);
INSERT INTO `employees` VALUES (40448,'Mindy','Crissil','Staff
Scientist',94860,37270,1);
INSERT INTO `employees` VALUES (56274,'Keriann','Alloisi','VP
Marketing',110150,37270,1);
INSERT INTO `employees` VALUES (63196,'Alaster','Scutchin','Assistant
Professor',32179,37270,2);
INSERT INTO `employees` VALUES (67009,'North','de
Clerc','VP
Product
Management',114257,37270,2);
INSERT INTO `employees` VALUES (67370,'Elladine','Rising','Social
Worker',96767,37270,2);
INSERT INTO `employees` VALUES (68249,'Nisse','Voysey','Financial
Advisor',52832,37270,2);
INSERT INTO `employees` VALUES (72540,'Guthrey','Iacopetti','Office
Assistant
I',117690,37270,3);
INSERT INTO `employees` VALUES (72913,'Kass','Hefferan','Computer
Systems
Analyst
IV',96401,37270,3);
INSERT INTO `employees` VALUES (75900,'Virge','Goodrum','Information
Systems
Manager',54578,37270,3);
INSERT INTO `employees` VALUES (76196,'Mirilla','Janowski','Cost
Accountant',119241,37270,3);
INSERT INTO `employees` VALUES (80529,'Lynde','Aronson','Junior
Executive',77182,37270,4);
INSERT INTO `employees` VALUES (80679,'Mildrid','Sokale','Geologist
II',67987,37270,4);
INSERT INTO `employees` VALUES (84791,'Hazel','Tarbert','General
Manager',93760,37270,4);
INSERT INTO `employees` VALUES (95213,'Cole','Kesterton','Pharmacist',86119,37270,4);
INSERT INTO `employees` VALUES (96513,'Theresa','Binney','Food
Chemist',47354,37270,5);
INSERT INTO `employees` VALUES (98374,'Estrellita','Daleman','Staff
Accountant
IV',70187,37270,5);
INSERT INTO `employees` VALUES (115357,'Ivy','Fearey','Structural
Engineer',92710,37270,5);
DROP DATABASE IF EXISTS `sql_inventory`;
CREATE DATABASE `sql_inventory`;
USE `sql_inventory`;
CREATE TABLE `products` (
`product_id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(50) NOT NULL,
`quantity_in_stock` int(11) NOT NULL,
`unit_price` decimal(4,2) NOT NULL,
PRIMARY KEY (`product_id`)
) ENGINE=InnoDB AUTO_INCREMENT=11 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
INSERT INTO `products` VALUES (1,'Foam
Dinner
Plate',70,1.21);
INSERT INTO `products` VALUES (2,'Pork
-
Bacon,back
Peameal
',49,4.65);
INSERT INTO `products` VALUES (3,'Lettuce - Romaine, Heart',38,3.35);
INSERT INTO `products` VALUES (4,'Brocolinni - Gaylan, Chinese',90,4.53);
INSERT INTO `products` VALUES (5,'Sauce - Ranch Dressing',94,1.63);
INSERT INTO `products` VALUES (6,'Petit Baguette',14,2.39);
INSERT INTO `products` VALUES (7,'Sweet Pea Sprouts',98,3.29);
INSERT INTO `products` VALUES (8,'Island Oasis - Raspberry',26,0.74);
INSERT INTO `products` VALUES (9,'Longan',67,2.26);
INSERT INTO `products` VALUES (10,'Broom - Push',6,1.09);
|
/*
* To change this license header, choose License Headers in Project Properties.
* To change this template file, choose Tools | Templates
* and open the template in the editor.
*/
/**
* Author: luke.galic
* Created: 26/05/2020
*/
CREATE TABLE Product_Table (
ProductID INT NOT NULL,
"Name" VARCHAR(35) NOT NULL,
Price FLOAT(10) NOT NULL,
Description VARCHAR(100) NOT NULL,
Quantity INT NOT NULL,
SuppliedDate DATE,
CONSTRAINT Product_PK PRIMARY KEY (ProductID));
//new table
CREATE TABLE Product_Table (
ProductID INT NOT NULL GENERATED ALWAYS AS IDENTITY (START WITH 1, INCREMENT BY 1),
"Name" VARCHAR(35) NOT NULL,
Price FLOAT(10) NOT NULL,
Description VARCHAR(100) NOT NULL,
Quantity INT NOT NULL,
SuppliedDate DATE,
CONSTRAINT Product_PK PRIMARY KEY (ProductID));
INSERT INTO Product_Table ("Name", Price, Description, Quantity, SuppliedDate)
VALUES ('Google Home',140.00,'Voice activation smart device.',20,'2019-01-10'),
('Amazon Echo',130.00,'Voice activation smart device.',20,'2019-01-10'),
('Ring Doorbell',80.00,'Allows the user to answer the door using their smartphone.',30,'2019-01-10'),
('Apple Watch',1000.00,'High tech smart watch that has many useful features.',15,'2019-01-10'),
('FitBit Charge 3',200.00,'Smart watch that tracks physical activity.',20,'2019-01-10'),
('Nest Thermostat',70.00,'Smart thermostat that can be controlled using an app.',25,'2019-01-30'),
('Etekcity Smart Plug',20.00,'Tracks electricity usage among devices that it charges.',40,'2019-01-30'),
('BERENNIS Smart Light Bulb',30.00,'Colour changing light bulb that can be controlled using an app.',40,'2019-01-30'),
('TanTan Smart Light Switch',50.00,'Can control lights using a timer or countdown, can be connected to Google Assistant and Amazon Alexa',40,'2019-01-30'),
('Taloya Smart Ceiling Light',90.00,'Colour and brightness changing light that can be controlled using an app.',30,'2019-01-30'),
('HEYVALUE Smart Power Strip',25.00,'Efficient power strip that can schedule the usage of power, safe against powersurges.',50,'2019-02-05'),
('Sense Energy Monitor',250.00,'Displays energy usage of devices, allowing the user to better control power usage.',20,'2019-02-05'),
('SmartDry Wireless Laundry Sensor',50.00,'Track clothes dryer status right from the fingertips.',30,'2019-02-05'),
('Hornbill Smart Door Lock',140.00,'Provides anti-peep passwords and auto-lock features to keep your home safe.',20,'2019-02-05'),
('Graywind Motorized Roller Shade',185.00,'High-quality fabric, can be comfortably controlled by the companion app called Smart Life.',20,'2019-02-05'),
('Soliom S90 Pro Security Camera',140.00,'Keep a track of your home or business from anywhere in the world. 1080p full HD day time video.',20,'2019-02-18'),
('Philips Hue',130.00,'Smart light boasting 16 million colors to make your room look dazzling.',30,'2019-02-18'),
('IPhone 11',1000.00,'Latest technology smart phone.',15,'2019-02-18'),
('Boomerang CycloTrac',150.00,'Bluetooth and cellular bike tracking device.',20,'2019-02-18'),
('Samsung Galaxy S20',1100.00,'Latest technology smart phone.',15,'2019-02-18');
//old
INSERT INTO Product_Table ("Name", Price, Description, Quantity, SuppliedDate)
VALUES (201,'Google Home',140.00,'Voice activation smart device.',20,'2019-01-10'),
(202,'Amazon Echo',130.00,'Voice activation smart device.',20,'2019-01-10'),
(203,'Ring Doorbell',80.00,'Allows the user to answer the door using their smartphone.',30,'2019-01-10'),
(204,'Apple Watch',1000.00,'High tech smart watch that has many useful features.',15,'2019-01-10'),
(205,'FitBit Charge 3',200.00,'Smart watch that tracks physical activity.',20,'2019-01-10'),
(206,'Nest Thermostat',70.00,'Smart thermostat that can be controlled using an app.',25,'2019-01-30'),
(207,'Etekcity Smart Plug',20.00,'Tracks electricity usage among devices that it charges.',40,'2019-01-30'),
(208,'BERENNIS Smart Light Bulb',30.00,'Colour changing light bulb that can be controlled using an app.',40,'2019-01-30'),
(209,'TanTan Smart Light Switch',50.00,'Can control lights using a timer or countdown, can be connected to Google Assistant and Amazon Alexa',40,'2019-01-30'),
(210,'Taloya Smart Ceiling Light',90.00,'Colour and brightness changing light that can be controlled using an app.',30,'2019-01-30'),
(211,'HEYVALUE Smart Power Strip',25.00,'Efficient power strip that can schedule the usage of power, safe against powersurges.',50,'2019-02-05'),
(212,'Sense Energy Monitor',250.00,'Displays energy usage of devices, allowing the user to better control power usage.',20,'2019-02-05'),
(213,'SmartDry Wireless Laundry Sensor',50.00,'Track clothes dryer status right from the fingertips.',30,'2019-02-05'),
(214,'Hornbill Smart Door Lock',140.00,'Provides anti-peep passwords and auto-lock features to keep your home safe.',20,'2019-02-05'),
(215,'Graywind Motorized Roller Shade',185.00,'High-quality fabric, can be comfortably controlled by the companion app called Smart Life.',20,'2019-02-05'),
(216,'Soliom S90 Pro Security Camera',140.00,'Keep a track of your home or business from anywhere in the world. 1080p full HD day time video.',20,'2019-02-18'),
(217,'Philips Hue',130.00,'Smart light boasting 16 million colors to make your room look dazzling.',30,'2019-02-18'),
(218,'IPhone 11',1000.00,'Latest technology smart phone.',15,'2019-02-18'),
(219,'Boomerang CycloTrac',150.00,'Bluetooth and cellular bike tracking device.',20,'2019-02-18'),
(220,'Samsung Galaxy S20',1100.00,'Latest technology smart phone.',15,'2019-02-18'); |
CREATE OR REPLACE VIEW VALUE_YESNO AS
SELECT 'NO' AS id,
null AS observ
FROM DUAL
UNION
SELECT 'SI' AS id,
null AS observ
FROM DUAL;
|
PARAMETERS [@PagoID] Text (8);
UPDATE TB_Vacaciones
SET Estado = 0
WHERE TrabajadorID&FechaEmisionID IN
(SELECT ProvisionID& PeriodoID
FROM TB_PagoProvision AS A
WHERE PagoID=[@PagoID]
AND RubroID="02");
|
CREATE SCHEMA `testing`;
|
-- Problems 1 and 2
CREATE TABLE person (
person_id SERIAL PRIMARY KEY,
name VARCHAR(25),
age INTEGER,
height INTEGER,
city VARCHAR(20),
favorite_color VARCHAR(15)
);
-- Problems 3 and 4
INSERT INTO person (name, age, height, city, favorite_color)
VALUES ('Annie', 33, 160, 'Lehi', 'green');
INSERT INTO person (name, age, height, city, favorite_color)
VALUES ('Kenny', 34, 182, 'Lehi', 'red');
INSERT INTO person (name, age, height, city, favorite_color)
VALUES ('Emily', 20, 170, 'Mesa', 'purple');
INSERT INTO person (name, age, height, city, favorite_color)
VALUES ('Natalie', 16, 168, 'Mesa', 'orange');
INSERT INTO person (name, age, height, city, favorite_color)
VALUES ('Kristin', 40, 169, 'Mesa', 'blue');
-- Problem 5 - List all the people in the person table by height from tallest to shortest.
select * from person
order by height DESC;
-- Problem 6 - List all the people in the person table by height from shortest to tallest.
select * from person
order by height;
-- Problem 7 - List all the people in the person table by age from oldest to youngest.
select * from person
order by age DESC;
-- Problem 8 -
select age from person
where age > 20;
-- Problem 9 -
select age from person
where age = 18;
-- Problem 10 -
select * from person
where age < 20 OR age > 30;
-- Problem 11 -
select * from person
where age <> 27;
-- Problem 12 -
select * from person
where favorite_color = 'red';
-- Problem 13 -
select * from person
where favorite_color <> 'red' AND favorite_color <> 'blue';
-- Problem 14 -
select * from person
where favorite_color = 'orange' OR favorite_color = 'green';
-- Problem 15 -
select * from person
where favorite_color IN ('orange', 'green', 'blue');
-- Problem 16 -
select * from person
where favorite_color IN ('yellow', 'purple');
|
-- MySQL Script generated by MySQL Workbench
-- Sun Apr 7 15:23:37 2019
-- Model: New Model Version: 1.0
-- MySQL Workbench Forward Engineering
SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0;
SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0;
SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='ONLY_FULL_GROUP_BY,STRICT_TRANS_TABLES,NO_ZERO_IN_DATE,NO_ZERO_DATE,ERROR_FOR_DIVISION_BY_ZERO,NO_ENGINE_SUBSTITUTION';
-- -----------------------------------------------------
-- Schema db_poupemais
-- -----------------------------------------------------
-- -----------------------------------------------------
-- Schema db_poupemais
-- -----------------------------------------------------
CREATE SCHEMA IF NOT EXISTS `db_poupemais` DEFAULT CHARACTER SET utf8 COLLATE utf8_general_mysql500_ci ;
USE `db_poupemais` ;
-- -----------------------------------------------------
-- Table `db_poupemais`.`usuarios`
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS `db_poupemais`.`usuarios` (
`id` INT NOT NULL AUTO_INCREMENT,
`login` VARCHAR(25) NOT NULL,
`senha` VARCHAR(255) NOT NULL,
`email` VARCHAR(150) NOT NULL,
`data_cadastro` DATETIME NOT NULL,
`status` VARCHAR(20) NULL,
PRIMARY KEY (`id`),
UNIQUE INDEX `login_UNIQUE` (`login` ASC),
UNIQUE INDEX `email_UNIQUE` (`email` ASC))
ENGINE = InnoDB;
-- -----------------------------------------------------
-- Table `db_poupemais`.`clientes`
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS `db_poupemais`.`clientes` (
`id` INT NOT NULL AUTO_INCREMENT,
`nome` VARCHAR(45) NOT NULL,
`cpf` VARCHAR(15) NOT NULL,
`rg` VARCHAR(15) NOT NULL,
`estado_civil` VARCHAR(10) NOT NULL,
`telefone` VARCHAR(30) NOT NULL,
`endereco` VARCHAR(100) NOT NULL,
`bairro` VARCHAR(30) NOT NULL,
`cep` VARCHAR(9) NOT NULL,
`cidade` VARCHAR(25) NOT NULL,
`estado` CHAR(2) NOT NULL,
`id_usuario` INT NOT NULL,
PRIMARY KEY (`id`, `id_usuario`),
UNIQUE INDEX `rg_UNIQUE` (`rg` ASC),
UNIQUE INDEX `cpf_UNIQUE` (`cpf` ASC),
INDEX `fk_cliente_usuario_idx` (`id_usuario` ASC),
CONSTRAINT `fk_cliente_usuario`
FOREIGN KEY (`id_usuario`)
REFERENCES `db_poupemais`.`usuarios` (`id`)
ON DELETE NO ACTION
ON UPDATE NO ACTION)
ENGINE = InnoDB;
-- -----------------------------------------------------
-- Table `db_poupemais`.`planos`
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS `db_poupemais`.`planos` (
`id` INT NOT NULL AUTO_INCREMENT,
`nome` VARCHAR(20) NOT NULL,
PRIMARY KEY (`id`))
ENGINE = InnoDB;
-- -----------------------------------------------------
-- Table `db_poupemais`.`grupos`
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS `db_poupemais`.`grupos` (
`id` INT NOT NULL AUTO_INCREMENT,
`nome` VARCHAR(45) NOT NULL,
PRIMARY KEY (`id`))
ENGINE = InnoDB;
-- -----------------------------------------------------
-- Table `db_poupemais`.`investimentos`
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS `db_poupemais`.`investimentos` (
`id` INT NOT NULL AUTO_INCREMENT,
`numero_investimento` INT NOT NULL,
`data_contratacao` DATE NOT NULL,
`id_cliente` INT NOT NULL,
`id_plano` INT NOT NULL,
`id_grupo` INT NOT NULL,
PRIMARY KEY (`id`, `id_cliente`, `id_plano`, `id_grupo`),
INDEX `fk_investimento_cliente1_idx` (`id_cliente` ASC),
INDEX `fk_investimento_planos1_idx` (`id_plano` ASC),
INDEX `fk_investimento_grupos1_idx` (`id_grupo` ASC),
CONSTRAINT `fk_investimento_cliente1`
FOREIGN KEY (`id_cliente`)
REFERENCES `db_poupemais`.`clientes` (`id`)
ON DELETE NO ACTION
ON UPDATE NO ACTION,
CONSTRAINT `fk_investimento_planos1`
FOREIGN KEY (`id_plano`)
REFERENCES `db_poupemais`.`planos` (`id`)
ON DELETE NO ACTION
ON UPDATE NO ACTION,
CONSTRAINT `fk_investimento_grupos1`
FOREIGN KEY (`id_grupo`)
REFERENCES `db_poupemais`.`grupos` (`id`)
ON DELETE NO ACTION
ON UPDATE NO ACTION)
ENGINE = InnoDB;
-- -----------------------------------------------------
-- Table `db_poupemais`.`vencimentos`
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS `db_poupemais`.`vencimentos` (
`id` INT NOT NULL AUTO_INCREMENT,
`parcela` INT NOT NULL,
`vencimento` DATE NOT NULL,
`valor` DECIMAL(7,2) NOT NULL,
`data_pagamento` DATE NULL,
`situacao` VARCHAR(20) NOT NULL,
`investimentos_id` INT NOT NULL,
PRIMARY KEY (`id`, `investimentos_id`),
INDEX `fk_vencimentos_investimentos1_idx` (`investimentos_id` ASC),
CONSTRAINT `fk_vencimentos_investimentos1`
FOREIGN KEY (`investimentos_id`)
REFERENCES `db_poupemais`.`investimentos` (`id`)
ON DELETE NO ACTION
ON UPDATE NO ACTION)
ENGINE = InnoDB;
-- -----------------------------------------------------
-- Table `db_poupemais`.`confirmation`
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS `db_poupemais`.`confirmation` (
`id` INT NOT NULL AUTO_INCREMENT,
`email` VARCHAR(100) NULL,
`token` TEXT NULL,
PRIMARY KEY (`id`))
ENGINE = InnoDB;
-- -----------------------------------------------------
-- Table `db_poupemais`.`tentativas`
-- -----------------------------------------------------
CREATE TABLE IF NOT EXISTS `db_poupemais`.`tentativas` (
`id` INT NOT NULL AUTO_INCREMENT,
`ip` VARCHAR(20) NULL,
`date` DATETIME NULL,
PRIMARY KEY (`id`))
ENGINE = InnoDB;
SET SQL_MODE=@OLD_SQL_MODE;
SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS;
SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS;
/* FUNÇÕES */
/* NOW () DATA E HORA ATUAL */
/* CURDATE() DATA ATUAL */
/* CURTIME() HORA ATUAL */
/* USE DATA BASE */
USE db_poupemais;
/* SHOW TABLE */
SHOW TABLES;
DESC usuarios;
DESC CLIENTES;
select * FROM confirmation;
SELECT * FROM usuarios;
UPDATE usuarios SET status = 'confirmar' WHERE email = 'fernandoestevam23@gmail.com';
/* USUARIO */
/*
SELECT * FROM usuarios WHERE email = 'paulo@paulo.com.br';
INSERT INTO usuarios (login, senha, email,data_cadastro,status) VALUES ('paulo',md5('123456'),'paulo@paulo.com.br',NOW(),'confirmar');
INSERT INTO usuarios (login, senha, email,data_cadastro,status) VALUES ('maria',md5('123456'),'maria@maria.com.br',NOW(),'confirmar');
*/
SELECT * FROM clientes;
SELECT c.cpf, c.rg, u.login, u.email FROM clientes AS c JOIN usuarios AS u ON c.id_usuario = c.id WHERE cpf = '961.150.210-88' OR rg = '40.633.700-0' OR email = 'fernando@fernand.com.br' OR login = 'fernando';
/* CLIENTES */
/*
INSERT INTO clientes (nome,cpf,rg,estado_civil,telefone,endereco,bairro,cep,cidade,estado,id_usuario)
VALUES ('Paulo Afonso Carvalho','111.222.333-44','11.222.333-4','solteiro','11-9.9999-9999','Av tamoio, 1560 apto 55-A','Morro','12345-678','São Paulo','SP',1);
INSERT INTO clientes (nome,cpf,rg,estado_civil,telefone,endereco,bairro,cep,cidade,estado,id_usuario)
VALUES ('Maria Afonso Carvalho','555.666.777-88','55.666.777-8','casada','11-9.9999-9999','Av tamoio, 1560 apto 55-A','Morro','12345-678','São Paulo','SP',2);
*/
/* PLANOS */
SELECT * FROM planos;
INSERT INTO planos (nome) VALUES ('6 MESES 50'),('6 MESES 100'),('6 MESES 150'),('6 MESES 200'),('12 MESES 50'),('12 MESES 100'),('12 MESES 150'),('12 MESES 200');
/* GRUPOS */
SELECT * FROM grupos;
INSERT INTO grupos (nome) VALUES ('Grupo1'),('Grupo2'),('Grupo3');
/* INVESTIMENTO */
SELECT * FROM investimentos;
/*
INSERT INTO investimentos (numero_investimento,data_contratacao,id_cliente,id_plano,id_grupo) VALUES (0001,CURDATE(),1,1,1);
INSERT INTO investimentos (numero_investimento,data_contratacao,id_cliente,id_plano,id_grupo) VALUES (0002,CURDATE(),2,5,2);
INSERT INTO investimentos (numero_investimento,data_contratacao,id_cliente,id_plano,id_grupo) VALUES (0003,CURDATE(),2,2,1);
*/
SELECT * FROM vencimentos;
/* VENCIMENTOS */
/*
INSERT INTO vencimentos (parcela,vencimento,valor,situacao,investimentos_id) VALUES
(1,'2019-04-03','50.00','pago',1),
(2,'2019-05-03','50.00','aberto',1),
(3,'2019-06-03','50.00','aberto',1),
(4,'2019-07-03','50.00','aberto',1),
(5,'2019-08-03','50.00','aberto',1),
(6,'2019-04-03','50.00','aberto',1);
INSERT INTO vencimentos (parcela,vencimento,valor,situacao,investimentos_id) VALUES (1,'2019-01-03','50.00','pago',2),
(2,'2019-02-03','50.00','aberto',2),
(3,'2019-03-03','50.00','aberto',2),
(4,'2019-04-03','50.00','aberto',2),
(5,'2019-05-03','50.00','aberto',2),
(6,'2019-06-03','50.00','aberto',2),
(7,'2019-07-03','50.00','aberto',2),
(8,'2019-08-03','50.00','aberto',2),
(9,'2019-09-03','50.00','aberto',2),
(10,'2019-10-03','50.00','aberto',2),
(11,'2019-11-03','50.00','aberto',2),
(12,'2019-12-03','50.00','aberto',2);
INSERT INTO vencimentos (parcela,vencimento,valor,situacao,investimentos_id) VALUES
(1,'2019-04-03','100.00','pago',3),
(2,'2019-05-03','100.00','aberto',3),
(3,'2019-06-03','100.00','aberto',3),
(4,'2019-07-03','100.00','aberto',3),
(5,'2019-08-03','100.00','aberto',3),
(6,'2019-04-03','100.00','aberto',3);
*/
/* BAIXA DO PAGAMENTO */
/*
UPDATE vencimentos AS v JOIN investimentos AS i ON i.id = v.investimentos_id SET v.data_pagamento = '2019-02-03', v.situacao = 'pago' WHERE v.parcela = 2 AND i.numero_investimento = 2;
UPDATE vencimentos AS v JOIN investimentos AS i ON i.id = v.investimentos_id SET v.situacao = 'pago' WHERE v.parcela = 2 AND i.numero_investimento = 2;
UPDATE vencimentos AS v JOIN investimentos AS i ON i.id = v.investimentos_id SET v.situacao = 'aguardando' WHERE v.parcela = 3 AND i.numero_investimento = 2;
*/
/* SELECT FROM VENCIMENTO */
/* Seleção de todos investimentos da do cliente*/
SELECT c.nome, i.numero_investimento AS nº_investimento, i.data_contratacao AS contratacao, v.parcela, v.vencimento AS dt_vencimento, v.valor,v.data_pagamento, v.situacao, p.nome AS plano, g.nome AS grupo FROM
investimentos AS i
JOIN clientes AS c ON c.id = i.id_cliente
JOIN usuarios AS u ON u.id = c.id_usuario
JOIN planos AS p ON p.id = i.id_plano
JOIN vencimentos AS v ON v.investimentos_id = i.id
JOIN grupos AS g ON g.id = i.id_grupo ORDER BY v.situacao DESC, v.vencimento ASC;
/* SELECT TENTATIVAS */
SELECT * FROM tentativas;
DELETE FROM tentativas WHERE ip = '::1';
DELETE FROM confirmation WHERE id = 3; |
# select core_page.name, count(*) as c
# from core_action
# join core_page on core_action.page_id = core_page.id
# where created_user = 1
# group by core_page.name
# order by c desc
# for month x, what page made the most subscriptions, and how many
# top subscriptions page for
select name,
ym,
(
select count(*)
from core_action
join core_page on core_action.page_id = core_page.id
where created_user = 1
and date_format(core_action.created_at, '%Y-%m') = ym
group by core_page.name, ym
order by ym, c desc
limit 1
)
from (
select core_page.name,
date_format(core_action.created_at, '%Y-%m') as ym,
count(*) as c
from core_action
join core_page on core_action.page_id = core_page.id
where created_user = 1
and core_action.created_at >= '2019-01-01'
group by core_page.name, ym
order by ym, c desc) enrollment_per_month_per_page
# group by name, ym
# order by ym desc
|
CREATE SEQUENCE public.hibernate_sequence INCREMENT 1 START 1 MINVALUE 1;
CREATE TABLE usersType
(
id SERIAL PRIMARY KEY,
name VARCHAR(50) NOT NULL
);
CREATE TABLE users
(
id SERIAL PRIMARY KEY,
name VARCHAR(50) NOT NULL,
userTypeId INTEGER NOT NULL,
FOREIGN KEY (userTypeId) references usersType (id)
);
INSERT INTO usersType(id, name) VALUES (1, 'interview');
INSERT INTO usersType(id, name) VALUES (2, 'candidate'); |
set spark.sql.legacy.integralDivide.returnBigint=true;
select 5 div 2;
select 5 div 0;
select 5 div null;
select null div 5;
set spark.sql.legacy.integralDivide.returnBigint=false;
select 5 div 2;
select 5 div 0;
select 5 div null;
select null div 5;
|
-- phpMyAdmin SQL Dump
-- version 4.5.1
-- http://www.phpmyadmin.net
--
-- Host: 127.0.0.1
-- Generation Time: Oct 23, 2018 at 09:00 AM
-- Server version: 10.1.13-MariaDB
-- PHP Version: 5.6.21
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: `library`
--
-- --------------------------------------------------------
--
-- Table structure for table `book_details`
--
CREATE TABLE `book_details` (
`book_name` varchar(50) NOT NULL,
`no_of_copies` int(100) NOT NULL,
`location` varchar(100) NOT NULL,
`Author` varchar(50) NOT NULL,
`Available` int(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf16;
--
-- Dumping data for table `book_details`
--
INSERT INTO `book_details` (`book_name`, `no_of_copies`, `location`, `Author`, `Available`) VALUES
('Advance Java', 50, 'CSE Almira Second Shelf', 'Gajendra Gupta', 46),
('Computer Networks', 28, 'CSE Almira Third Shelf', 'Behrouz A. Forouzan', 24);
-- --------------------------------------------------------
--
-- Table structure for table `details_stu`
--
CREATE TABLE `details_stu` (
`name` varchar(100) NOT NULL,
`ID` varchar(10) NOT NULL,
`branch` varchar(10) NOT NULL,
`password` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf16;
--
-- Dumping data for table `details_stu`
--
INSERT INTO `details_stu` (`name`, `ID`, `branch`, `password`) VALUES
('Rajat', 'CSE19', 'CSE', 'Rajat123'),
('Diksha', 'CSE10', 'CSE', 'Diksha123'),
('akhilesh', 'cse09', 'CSE', 'akhilesh'),
('Akash', 'CSE39', 'CSE', 'Parth123'),
('Aman Rawat', 'ECE04', 'ECE', 'Aman123'),
('Mohit', 'ECE04', 'ECE', 'Mohit123'),
('Rohit Dhingra', 'CSE27', 'CSE', 'Rohit123'),
('Abhishek', 'CSE39', 'CSE', 'Abhi123');
-- --------------------------------------------------------
--
-- Table structure for table `order_books`
--
CREATE TABLE `order_books` (
`book_name` varchar(100) NOT NULL,
`Author_name` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf16;
--
-- Dumping data for table `order_books`
--
INSERT INTO `order_books` (`book_name`, `Author_name`) VALUES
('Engineering Mathematics', 'H.K. Dass'),
('DAA', 'Rama Verma');
-- --------------------------------------------------------
--
-- Table structure for table `record_stu`
--
CREATE TABLE `record_stu` (
`id` varchar(10) NOT NULL,
`book1` varchar(100) NOT NULL,
`book2` varchar(100) NOT NULL,
`book3` varchar(100) NOT NULL,
`book4` varchar(100) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf16;
--
-- Dumping data for table `record_stu`
--
INSERT INTO `record_stu` (`id`, `book1`, `book2`, `book3`, `book4`) VALUES
('CSE10', 'Advance Java', '', '', ''),
('cse09', '', '', '', ''),
('CSE39', '', 'Computer networks', '', ''),
('ECE04', '', 'Advance Java', '', ''),
('CSE27', '', '', '', ''),
('CSE39', '', 'Computer networks', '', '');
-- --------------------------------------------------------
--
-- Table structure for table `staff`
--
CREATE TABLE `staff` (
`name` varchar(50) NOT NULL,
`ID` varchar(50) NOT NULL,
`password` varchar(50) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf16;
--
-- Dumping data for table `staff`
--
INSERT INTO `staff` (`name`, `ID`, `password`) VALUES
('Akhilesh', 'CSE03', 'Akki120220'),
('Akhilesh', 'CSE03', 'Akki120220');
/*!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 */;
|
<<<<<<< HEAD
col event for a70
select event, sum(round(seconds_in_wait/100)) MIN
from v$session_wait
group by event order by 2 asc;
=======
col event for a70
select sid, event, state, round(seconds_in_wait/100) MIN from v$session_wait order by 4 asc;
>>>>>>> new 2020
|
-- phpMyAdmin SQL Dump
-- version 4.7.4
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1:3306
-- Generation Time: Mar 23, 2018 at 01:56 PM
-- Server version: 5.7.19
-- PHP Version: 5.6.31
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: `test`
--
-- --------------------------------------------------------
--
-- Table structure for table `insurance_company`
--
DROP TABLE IF EXISTS `insurance_company`;
CREATE TABLE IF NOT EXISTS `insurance_company` (
`id` varchar(2) NOT NULL,
`insurance_e` varchar(28) DEFAULT NULL,
`insurance_a` varchar(30) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;
--
-- Dumping data for table `insurance_company`
--
INSERT INTO `insurance_company` (`id`, `insurance_e`, `insurance_a`) VALUES
('1', 'Bupa Arabia', 'بوبا العربية'),
('2', 'Gulf Union', 'اتحاد الخليج'),
('3', 'AXA-Cooperative', 'AXA أكسا للتأمين التعاوني'),
('4', 'Al-Ahlia', 'الأهلية'),
('5', 'AICC', 'شركة التأمين التعاونية العربية'),
('6', 'Tawuniya', 'التعاونية'),
('7', 'Gulf General', 'الخليج العام'),
('8', 'Arabian Shield', 'الدرع العربي'),
('9', 'United cooperative insurance', 'UCA المتحدة للتأمين التعاوني'),
('10', 'Al Alamiya', 'العالمية'),
('11', 'Trade Union', 'الإتحادالتجاري'),
('12', 'ACIG', 'أسيجACIG'),
('13', 'ALLIANZ SF', 'أليانزSF'),
('14', 'Amana Insurance', 'أمانة للتأمين'),
('15', 'Buruj', 'بروج'),
('16', 'Al Rajhi Takaful', 'تكافل الراجحي'),
('17', 'SAICO', 'SAICO'),
('18', 'SALAMA', 'سلامة'),
('19', 'SANAD', 'سند'),
('20', 'Solidarity', 'سوليداريتي'),
('21', 'Enaya', 'عناية'),
('22', 'Sagr Insurance', 'صقر للتأمين'),
('23', 'Malath Insurance', 'ملاذ للتأمين'),
('24', 'MEDGULF', 'ميدغلف'),
('25', 'WAFA Insurance', 'وفا للتأمين'),
('26', 'Weqaya Takaful', 'وقاية التكافل'),
('27', 'Walaa Insurance', 'ولاء للتأمين'),
('28', 'Others', 'غيرها');
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
insert into CONTACTS values ('P100', 9087654331);
insert into CONTACTS values ('P101', 9456654331);
insert into CONTACTS values ('P102', 9085834331);
insert into CONTACTS values ('P103', 9087157431);
insert into CONTACTS values ('P104', 9087629851);
insert into CONTACTS values ('P105', 9087652363);
insert into CONTACTS values ('P106', 9754456743);
insert into CONTACTS values ('P107', 9325794567);
insert into CONTACTS values ('P108', 9023453456);
insert into CONTACTS values ('P109', 9096544732);
insert into CONTACTS values ('P110', 9987453672);
insert into CONTACTS values ('P111', 9673346788);
insert into CONTACTS values ('P112', 9297463839);
insert into CONTACTS values ('P113', 9723945032);
commit; |
CREATE OR REPLACE PUBLIC SYNONYM "BCSUL_V_RET_VALIDA_PARAMETROS" FOR "RETAGUARDA"."BCSUL_V_RET_VALIDA_PARAMETROS";
CREATE OR REPLACE PUBLIC SYNONYM "CALENDARIO" FOR "SCPTOOLS"."CALENDARIO";
CREATE OR REPLACE PUBLIC SYNONYM "EMPRESA_LOJA" FOR "SCPTOOLS"."EMPRESA_LOJA";
CREATE OR REPLACE PUBLIC SYNONYM "EMPRESA_EMPRESA_BANCO" FOR "SCPTOOLS"."EMPRESA_EMPRESA_BANCO";
CREATE OR REPLACE PUBLIC SYNONYM "EMPRESA_BANCO" FOR "SCPTOOLS"."EMPRESA_BANCO";
CREATE OR REPLACE PUBLIC SYNONYM "EMPRESA" FOR "SCPTOOLS"."EMPRESA";
CREATE OR REPLACE PUBLIC SYNONYM "FUNCAO" FOR "SCPTOOLS"."FUNCAO";
CREATE OR REPLACE PUBLIC SYNONYM "FILIAL" FOR "SCPTOOLS"."FILIAL";
CREATE OR REPLACE PUBLIC SYNONYM "USU_FUNCAO" FOR "SCPTOOLS"."USU_FUNCAO";
CREATE OR REPLACE PUBLIC SYNONYM "USU_EMPRESA" FOR "SCPTOOLS"."USU_EMPRESA";
CREATE OR REPLACE PUBLIC SYNONYM "TAC" FOR "SCPTOOLS"."TAC";
CREATE OR REPLACE PUBLIC SYNONYM "TAB_TAXA" FOR "SCPTOOLS"."TAB_TAXA";
CREATE OR REPLACE PUBLIC SYNONYM "TAB_FIN" FOR "SCPTOOLS"."TAB_FIN";
CREATE OR REPLACE PUBLIC SYNONYM "PRODUTO" FOR "SCPTOOLS"."PRODUTO";
CREATE OR REPLACE PUBLIC SYNONYM "CFI_USU" FOR "SCPTOOLS"."CFI_USU";
CREATE OR REPLACE PUBLIC SYNONYM "LOJA_PRODUTO" FOR "SCPTOOLS"."LOJA_PRODUTO";
CREATE OR REPLACE PUBLIC SYNONYM "LOJA" FOR "SCPTOOLS"."LOJA";
CREATE OR REPLACE PUBLIC SYNONYM "AGENCIA" FOR "SCPTOOLS"."AGENCIA";
CREATE OR REPLACE PUBLIC SYNONYM "BANCO" FOR "SCPTOOLS"."BANCO";
|
DROP TABLE addresses;
CREATE TABLE addresses(
id SERIAL PRIMARY KEY,
postCode VARCHAR(8),
addressLines VARCHAR ARRAY
);
|
-- phpMyAdmin SQL Dump
-- version 4.8.3
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Dec 24, 2018 at 10:57 AM
-- Server version: 10.1.37-MariaDB
-- PHP Version: 7.2.12
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: `th`
--
-- --------------------------------------------------------
--
-- Table structure for table `admin`
--
CREATE TABLE `admin` (
`id` int(11) NOT NULL,
`UserName` varchar(100) NOT NULL,
`Password` varchar(100) NOT NULL,
`updationDate` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00' ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `admin`
--
INSERT INTO `admin` (`id`, `UserName`, `Password`, `updationDate`) VALUES
(1, 'admin', 'f925916e2754e5e03f75dd58a5733251', '2018-12-24 16:48:49');
-- --------------------------------------------------------
--
-- Table structure for table `tblbooking`
--
CREATE TABLE `tblbooking` (
`BookingId` int(11) NOT NULL,
`PackageId` int(11) NOT NULL,
`UserEmail` varchar(100) NOT NULL,
`FromDate` varchar(100) NOT NULL,
`ToDate` varchar(100) NOT NULL,
`Comment` mediumtext NOT NULL,
`RegDate` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`status` int(11) NOT NULL,
`CancelledBy` varchar(5) DEFAULT NULL,
`UpdationDate` timestamp NULL DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tblbooking`
--
INSERT INTO `tblbooking` (`BookingId`, `PackageId`, `UserEmail`, `FromDate`, `ToDate`, `Comment`, `RegDate`, `status`, `CancelledBy`, `UpdationDate`) VALUES
(11, 8, 'abc@gmail.com', '2018-12-25', '2018-12-29', 'aaaaa', '2018-12-24 05:04:58', 2, 'a', '2018-12-24 06:00:26');
-- --------------------------------------------------------
--
-- Table structure for table `tblenquiry`
--
CREATE TABLE `tblenquiry` (
`id` int(11) NOT NULL,
`FullName` varchar(100) NOT NULL,
`EmailId` varchar(100) NOT NULL,
`MobileNumber` char(10) NOT NULL,
`Subject` varchar(100) NOT NULL,
`Description` mediumtext NOT NULL,
`PostingDate` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`Status` int(1) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `tblissues`
--
CREATE TABLE `tblissues` (
`id` int(11) NOT NULL,
`UserEmail` varchar(100) NOT NULL,
`Issue` varchar(100) NOT NULL,
`Description` mediumtext NOT NULL,
`PostingDate` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`AdminRemark` mediumtext,
`AdminremarkDate` timestamp NULL DEFAULT '0000-00-00 00:00:00' ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `tblpages`
--
CREATE TABLE `tblpages` (
`id` int(11) NOT NULL,
`type` varchar(255) NOT NULL DEFAULT '',
`detail` longtext NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `tbltourpackages`
--
CREATE TABLE `tbltourpackages` (
`PackageId` int(11) NOT NULL,
`PackageName` varchar(200) NOT NULL,
`PackageType` varchar(150) NOT NULL,
`PackageLocation` varchar(100) NOT NULL,
`PackagePrice` int(11) NOT NULL,
`PackageFetures` varchar(255) NOT NULL,
`PackageDetails` mediumtext NOT NULL,
`PackageImage` varchar(100) NOT NULL,
`Creationdate` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`UpdationDate` timestamp NULL DEFAULT '0000-00-00 00:00:00' ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tbltourpackages`
--
INSERT INTO `tbltourpackages` (`PackageId`, `PackageName`, `PackageType`, `PackageLocation`, `PackagePrice`, `PackageFetures`, `PackageDetails`, `PackageImage`, `Creationdate`, `UpdationDate`) VALUES
(8, 'aaa', 'aaa', 'aaa', 25000, 'aaa', 'aaaa', '6.jpg', '2018-12-24 05:04:32', '2018-12-24 09:36:33');
-- --------------------------------------------------------
--
-- Table structure for table `tblusers`
--
CREATE TABLE `tblusers` (
`id` int(11) NOT NULL,
`FullName` varchar(100) NOT NULL,
`MobileNumber` char(10) NOT NULL,
`EmailId` varchar(70) NOT NULL,
`Password` varchar(100) NOT NULL,
`RegDate` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`UpdationDate` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00' ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `tblusers`
--
INSERT INTO `tblusers` (`id`, `FullName`, `MobileNumber`, `EmailId`, `Password`, `RegDate`, `UpdationDate`) VALUES
(12, 'aaa', '0714525252', 'abc@gmail.com', '202cb962ac59075b964b07152d234b70', '2018-12-24 05:03:39', '0000-00-00 00:00:00');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `admin`
--
ALTER TABLE `admin`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `tblbooking`
--
ALTER TABLE `tblbooking`
ADD PRIMARY KEY (`BookingId`);
--
-- Indexes for table `tblenquiry`
--
ALTER TABLE `tblenquiry`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `tblissues`
--
ALTER TABLE `tblissues`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `tblpages`
--
ALTER TABLE `tblpages`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `tbltourpackages`
--
ALTER TABLE `tbltourpackages`
ADD PRIMARY KEY (`PackageId`);
--
-- Indexes for table `tblusers`
--
ALTER TABLE `tblusers`
ADD PRIMARY KEY (`id`),
ADD KEY `EmailId` (`EmailId`),
ADD KEY `EmailId_2` (`EmailId`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `admin`
--
ALTER TABLE `admin`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `tblbooking`
--
ALTER TABLE `tblbooking`
MODIFY `BookingId` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=12;
--
-- AUTO_INCREMENT for table `tblenquiry`
--
ALTER TABLE `tblenquiry`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `tblissues`
--
ALTER TABLE `tblissues`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- AUTO_INCREMENT for table `tblpages`
--
ALTER TABLE `tblpages`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=22;
--
-- AUTO_INCREMENT for table `tbltourpackages`
--
ALTER TABLE `tbltourpackages`
MODIFY `PackageId` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=9;
--
-- AUTO_INCREMENT for table `tblusers`
--
ALTER TABLE `tblusers`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=13;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
CREATE TABLE [ERP].[ConceptoAFPMes] (
[ID] INT IDENTITY (1, 1) NOT NULL,
[IdConceptoAFP] INT NULL,
[IdMes] INT NULL,
CONSTRAINT [PK_ConceptoAFPMes] PRIMARY KEY CLUSTERED ([ID] ASC),
FOREIGN KEY ([IdConceptoAFP]) REFERENCES [ERP].[ConceptoAFP] ([ID]),
FOREIGN KEY ([IdMes]) REFERENCES [Maestro].[Mes] ([ID])
);
|
--
-- PostgreSQL database dump
--
SET statement_timeout = 0;
SET client_encoding = 'UTF8';
SET standard_conforming_strings = on;
SET check_function_bodies = false;
SET client_min_messages = warning;
SET search_path = public, pg_catalog;
SET default_tablespace = '';
SET default_with_oids = false;
--
-- Name: gender_populationgroup_country; Type: TABLE; Schema: public; Owner: census; Tablespace:
--
CREATE TABLE gender_populationgroup_country (
total integer NOT NULL,
"population group" character varying(128) NOT NULL,
gender character varying(128) NOT NULL
);
ALTER TABLE public.gender_populationgroup_country OWNER TO census;
--
-- Name: gender_populationgroup_district; Type: TABLE; Schema: public; Owner: census; Tablespace:
--
CREATE TABLE gender_populationgroup_district (
total integer NOT NULL,
"population group" character varying(128) NOT NULL,
gender character varying(128) NOT NULL,
district_code character varying(8) NOT NULL
);
ALTER TABLE public.gender_populationgroup_district OWNER TO census;
--
-- Name: gender_populationgroup_municipality; Type: TABLE; Schema: public; Owner: census; Tablespace:
--
CREATE TABLE gender_populationgroup_municipality (
total integer NOT NULL,
"population group" character varying(128) NOT NULL,
gender character varying(128) NOT NULL,
municipality_code character varying(8) NOT NULL
);
ALTER TABLE public.gender_populationgroup_municipality OWNER TO census;
--
-- Name: gender_populationgroup_province; Type: TABLE; Schema: public; Owner: census; Tablespace:
--
CREATE TABLE gender_populationgroup_province (
total integer NOT NULL,
"population group" character varying(128) NOT NULL,
gender character varying(128) NOT NULL,
province_code character varying(8) NOT NULL
);
ALTER TABLE public.gender_populationgroup_province OWNER TO census;
--
-- Name: gender_populationgroup_ward; Type: TABLE; Schema: public; Owner: census; Tablespace:
--
CREATE TABLE gender_populationgroup_ward (
total integer NOT NULL,
"population group" character varying(128) NOT NULL,
gender character varying(128) NOT NULL,
ward_code character varying(8) NOT NULL
);
ALTER TABLE public.gender_populationgroup_ward OWNER TO census;
--
-- Data for Name: gender_populationgroup_country; Type: TABLE DATA; Schema: public; Owner: census
--
COPY gender_populationgroup_country (total, "population group", gender) FROM stdin;
19912717 Black African Male
21088220 Black African Female
2228108 Coloured Male
2387293 Coloured Female
645463 Indian or Asian Male
641467 Indian or Asian Female
2231682 White Male
2355156 White Female
170821 Other Male
109633 Other Female
\.
--
-- Data for Name: gender_populationgroup_district; Type: TABLE DATA; Schema: public; Owner: census
--
COPY gender_populationgroup_district (total, "population group", gender, district_code) FROM stdin;
117806 Black African Male DC10
122204 Black African Female DC10
75838 Coloured Male DC10
81282 Coloured Female DC10
858 Indian or Asian Male DC10
659 Indian or Asian Female DC10
23611 White Male DC10
25355 White Female DC10
2132 Other Male DC10
837 Other Female DC10
406653 Black African Male DC12
461364 Black African Female DC12
6373 Coloured Male DC12
6760 Coloured Female DC12
706 Indian or Asian Male DC12
420 Indian or Asian Female DC12
4435 White Male DC12
4514 White Female DC12
1081 Other Male DC12
330 Other Female DC12
350132 Black African Male DC13
392413 Black African Female DC13
15858 Coloured Male DC13
16908 Coloured Female DC13
1148 Indian or Asian Male DC13
639 Indian or Asian Female DC13
7819 White Male DC13
8215 White Female DC13
1681 Other Male DC13
647 Other Female DC13
154446 Black African Male DC14
173556 Black African Female DC14
6046 Coloured Male DC14
6131 Coloured Female DC14
449 Indian or Asian Male DC14
183 Indian or Asian Female DC14
4010 White Male DC14
4267 White Female DC14
491 Other Male DC14
189 Other Female DC14
622870 Black African Male DC15
728919 Black African Female DC15
3261 Coloured Male DC15
3173 Coloured Female DC15
1581 Indian or Asian Male DC15
1072 Indian or Asian Female DC15
1358 White Male DC15
1283 White Female DC15
1017 Other Male DC15
408 Other Female DC15
362754 Black African Male DC44
431629 Black African Female DC44
1666 Coloured Male DC44
1641 Coloured Female DC44
692 Indian or Asian Male DC44
440 Indian or Asian Female DC44
916 White Male DC44
982 White Female DC44
459 Other Male DC44
165 Other Female DC44
303265 Black African Male BUF
339488 Black African Female BUF
22131 Coloured Male BUF
23310 Coloured Female BUF
3297 Indian or Asian Male BUF
2945 Indian or Asian Female BUF
28190 White Male BUF
30067 White Female BUF
1673 Other Male BUF
833 Other Female BUF
331217 Black African Male NMA
361514 Black African Female NMA
129594 Coloured Male NMA
141875 Coloured Female NMA
6501 Indian or Asian Male NMA
6337 Indian or Asian Female NMA
79817 White Male NMA
85610 White Female NMA
5865 Other Male NMA
3785 Other Female NMA
55945 Black African Male DC16
58862 Black African Female DC16
9433 Coloured Male DC16
9806 Coloured Female DC16
414 Indian or Asian Male DC16
139 Indian or Asian Female DC16
5494 White Male DC16
5649 White Female DC16
372 Other Male DC16
145 Other Female DC16
274999 Black African Male DC18
282951 Black African Female DC18
5856 Coloured Male DC18
6008 Coloured Female DC18
1655 Indian or Asian Male DC18
587 Indian or Asian Female DC18
26144 White Male DC18
28064 White Female DC18
955 Other Male DC18
406 Other Female DC18
320416 Black African Male DC19
369924 Black African Female DC19
3058 Coloured Male DC19
3131 Coloured Female DC19
1728 Indian or Asian Male DC19
1153 Indian or Asian Female DC19
17078 White Male DC19
18439 White Female DC19
890 Other Male DC19
421 Other Female DC19
208420 Black African Male DC20
211635 Black African Female DC20
4600 Coloured Male DC20
4615 Coloured Female DC20
1024 Indian or Asian Male DC20
493 Indian or Asian Female DC20
27248 White Male DC20
28619 White Female DC20
1051 Other Male DC20
332 Other Female DC20
301073 Black African Male MAN
321310 Black African Female MAN
18208 Coloured Male MAN
19129 Coloured Female MAN
2108 Indian or Asian Male MAN
1096 Indian or Asian Female MAN
39311 White Male MAN
42980 White Female MAN
1486 Other Male MAN
731 Other Female MAN
371160 Black African Male DC42
377497 Black African Female DC42
5515 Coloured Male DC42
5555 Coloured Female DC42
4903 Indian or Asian Male DC42
4238 Indian or Asian Female DC42
70886 White Male DC42
72494 White Female DC42
2893 Other Male DC42
1343 Other Female DC42
343537 Black African Male DC48
306595 Black African Female DC48
9972 Coloured Male DC48
10578 Coloured Female DC48
5114 Indian or Asian Male DC48
4320 Indian or Asian Female DC48
67033 White Male DC48
70008 White Female DC48
2519 Other Male DC48
1318 Other Female DC48
1293462 Black African Male EKU
1209308 Black African Female EKU
41444 Coloured Male EKU
44466 Coloured Female EKU
35051 Indian or Asian Male EKU
33007 Indian or Asian Female EKU
245680 White Male EKU
256759 White Female EKU
12086 Other Male EKU
7208 Other Female EKU
1713385 Black African Male JHB
1675893 Black African Female JHB
118706 Coloured Male JHB
128570 Coloured Female JHB
108231 Indian or Asian Male JHB
107967 Indian or Asian Female JHB
263740 White Male JHB
280789 White Female JHB
21074 Other Male JHB
16471 Other Female JHB
1102422 Black African Male TSH
1100425 Black African Female TSH
28183 Coloured Male TSH
30605 Coloured Female TSH
27618 Indian or Asian Male TSH
26126 Indian or Asian Female TSH
283650 White Male TSH
302845 White Female TSH
11611 Other Male TSH
8003 Other Female TSH
306326 Black African Male DC21
348447 Black African Female DC21
2921 Coloured Male DC21
3202 Coloured Female DC21
12124 Indian or Asian Male DC21
12588 Indian or Asian Female DC21
17096 White Male DC21
18626 White Female DC21
694 Other Male DC21
460 Other Female DC21
410838 Black African Male DC22
451704 Black African Female DC22
9834 Coloured Male DC22
10704 Coloured Female DC22
33033 Indian or Asian Male DC22
34997 Indian or Asian Female DC22
30578 White Male DC22
33357 White Female DC22
1636 Other Male DC22
1081 Other Female DC22
295021 Black African Male DC23
341374 Black African Female DC23
1876 Coloured Male DC23
2046 Coloured Female DC23
8042 Indian or Asian Male DC23
7981 Indian or Asian Female DC23
5608 White Male DC23
5829 White Female DC23
636 Other Male DC23
434 Other Female DC23
284653 Black African Male DC27
333476 Black African Female DC27
585 Coloured Male DC27
568 Coloured Female DC27
744 Indian or Asian Male DC27
647 Indian or Asian Female DC27
2137 White Male DC27
2053 White Female DC27
527 Other Male DC27
456 Other Female DC27
401874 Black African Male DC28
455123 Black African Female DC28
2543 Coloured Male DC28
2482 Coloured Female DC28
7185 Indian or Asian Male DC28
7448 Indian or Asian Female DC28
14815 White Male DC28
14560 White Female DC28
981 Other Male DC28
509 Other Female DC28
206741 Black African Male DC43
239667 Black African Female DC43
3767 Coloured Male DC43
3779 Coloured Female DC43
834 Indian or Asian Male DC43
672 Indian or Asian Female DC43
2691 White Male DC43
2665 White Female DC43
433 Other Male DC43
171 Other Female DC43
221138 Black African Male DC24
272319 Black African Female DC24
1314 Coloured Male DC24
1475 Coloured Female DC24
3154 Indian or Asian Male DC24
3358 Indian or Asian Female DC24
3533 White Male DC24
3857 White Female DC24
437 Other Male DC24
255 Other Female DC24
221399 Black African Male DC25
243743 Black African Female DC25
1657 Coloured Male DC25
1792 Coloured Female DC25
6646 Indian or Asian Male DC25
6521 Indian or Asian Female DC25
8345 White Male DC25
8684 White Female DC25
665 Other Male DC25
387 Other Female DC25
364309 Black African Male DC26
423570 Black African Female DC26
858 Coloured Male DC26
843 Coloured Female DC26
946 Indian or Asian Male DC26
829 Indian or Asian Female DC26
5528 White Male DC26
5760 White Female DC26
559 Other Male DC26
373 Other Female DC26
261675 Black African Male DC29
289082 Black African Female DC29
1578 Coloured Male DC29
1643 Coloured Female DC29
17371 Indian or Asian Male DC29
18541 Indian or Asian Female DC29
7139 White Male DC29
7574 White Female DC29
1245 Other Male DC29
960 Other Female DC29
1246430 Black African Male ETH
1294011 Black African Female ETH
40457 Coloured Male ETH
45451 Coloured Female ETH
276886 Indian or Asian Male ETH
296448 Indian or Asian Female ETH
110468 White Male ETH
117938 White Female ETH
8165 Other Male ETH
6107 Other Female ETH
484481 Black African Male DC33
575251 Black African Female DC33
882 Coloured Male DC33
899 Coloured Female DC33
1687 Indian or Asian Male DC33
1043 Indian or Asian Female DC33
13560 White Male DC33
13353 White Female DC33
971 Other Male DC33
381 Other Female DC33
579126 Black African Male DC34
692582 Black African Female DC34
935 Coloured Male DC34
898 Coloured Female DC34
3136 Indian or Asian Male DC34
2131 Indian or Asian Female DC34
7371 White Male DC34
7228 White Female DC34
928 Other Male DC34
386 Other Female DC34
564314 Black African Male DC35
647560 Black African Female DC35
3150 Coloured Male DC35
3121 Coloured Female DC35
3043 Indian or Asian Male DC35
2191 Indian or Asian Female DC35
17955 White Male DC35
17515 White Female DC35
1780 Other Male DC35
833 Other Female DC35
312149 Black African Male DC36
307739 Black African Female DC36
1913 Coloured Male DC36
1385 Coloured Female DC36
1833 Indian or Asian Male DC36
1096 Indian or Asian Female DC36
25934 White Male DC36
25428 White Female DC36
1340 Other Male DC36
519 Other Female DC36
489202 Black African Male DC47
572348 Black African Female DC47
643 Coloured Male DC47
589 Coloured Female DC47
1123 Indian or Asian Male DC47
597 Indian or Asian Female DC47
5715 White Male DC47
5300 White Female DC47
965 Other Male DC47
357 Other Female DC47
453383 Black African Male DC30
470593 Black African Female DC30
5468 Coloured Male DC30
5299 Coloured Female DC30
6128 Indian or Asian Male DC30
4873 Indian or Asian Female DC30
47197 White Male DC30
47083 White Female DC30
2230 Other Male DC30
941 Other Female DC30
575306 Black African Male DC31
574934 Black African Female DC31
7432 Coloured Male DC31
7439 Coloured Female DC31
5706 Indian or Asian Male DC31
3843 Indian or Asian Female DC31
64997 White Male DC31
64660 White Female DC31
2807 Other Male DC31
1006 Other Female DC31
752680 Black African Male DC32
835323 Black African Female DC32
5249 Coloured Male DC32
5725 Coloured Female DC32
4330 Indian or Asian Male DC32
3036 Indian or Asian Female DC32
39364 White Male DC32
40296 White Female DC32
1780 Other Male DC32
833 Other Female DC32
726686 Black African Male DC37
651135 Black African Female DC37
5559 Coloured Male DC37
5372 Coloured Female DC37
5161 Indian or Asian Male DC37
3414 Indian or Asian Female DC37
53818 White Male DC37
51455 White Female DC37
3304 Other Male DC37
1601 Other Female DC37
385963 Black African Male DC38
405288 Black African Female DC38
7066 Coloured Male DC38
6743 Coloured Female DC38
3210 Indian or Asian Male DC38
1758 Indian or Asian Female DC38
15898 White Male DC38
15052 White Female DC38
1262 Other Male DC38
459 Other Female DC38
204252 Black African Male DC39
219728 Black African Female DC39
9029 Coloured Male DC39
9317 Coloured Female DC39
1335 Indian or Asian Male DC39
669 Indian or Asian Female DC39
9169 White Male DC39
8958 White Female DC39
933 Other Male DC39
425 Other Female DC39
280097 Black African Male DC40
278915 Black African Female DC40
13780 Coloured Male DC40
14542 Coloured Female DC40
3008 Indian or Asian Male DC40
2097 Indian or Asian Female DC40
48743 White Male DC40
52291 White Female DC40
1630 Other Male DC40
830 Other Female DC40
4619 Black African Male DC6
3285 Black African Female DC6
47850 Coloured Male DC6
48509 Coloured Female DC6
322 Indian or Asian Male DC6
291 Indian or Asian Female DC6
4922 White Male DC6
5191 White Female DC6
562 Other Male DC6
291 Other Female DC6
29057 Black African Male DC7
29557 Black African Female DC7
53966 Coloured Male DC7
56291 Coloured Female DC7
643 Indian or Asian Male DC7
402 Indian or Asian Female DC7
7490 White Male DC7
7574 White Female DC7
912 Other Male DC7
460 Other Female DC7
37658 Black African Male DC8
31854 Black African Female DC8
69963 Coloured Male DC8
72953 Coloured Female DC8
1017 Indian or Asian Male DC8
690 Indian or Asian Female DC8
9436 White Male DC8
9934 White Female DC8
2093 Other Male DC8
1185 Other Female DC8
120976 Black African Male DC9
129263 Black African Female DC9
44533 Coloured Male DC9
47015 Coloured Female DC9
2051 Indian or Asian Male DC9
1552 Indian or Asian Female DC9
12229 White Male DC9
13323 White Female DC9
5708 Other Male DC9
5436 Other Female DC9
91421 Black African Male DC45
99297 Black African Female DC45
10479 Coloured Male DC45
10339 Coloured Female DC45
634 Indian or Asian Male DC45
225 Indian or Asian Female DC45
5658 White Male DC45
5489 White Female DC45
773 Other Male DC45
483 Other Female DC45
33881 Black African Male DC1
30229 Black African Female DC1
127593 Coloured Male DC1
133257 Coloured Female DC1
1147 Indian or Asian Male DC1
1034 Indian or Asian Female DC1
29903 White Male DC1
31624 White Female DC1
2015 Other Male DC1
1083 Other Female DC1
96680 Black African Male DC2
89792 Black African Female DC2
236548 Coloured Male DC2
252641 Coloured Female DC2
1724 Indian or Asian Male DC2
1429 Indian or Asian Female DC2
48873 White Male DC2
52619 White Female DC2
4388 Other Male DC2
2797 Other Female DC2
36252 Black African Male DC3
29899 Black African Female DC3
67854 Coloured Male DC3
71971 Coloured Female DC3
496 Indian or Asian Male DC3
320 Indian or Asian Female DC3
23049 White Male DC3
25643 White Female DC3
1718 Other Male DC3
973 Other Female DC3
72820 Black African Male DC4
69009 Black African Female DC4
149367 Coloured Male DC4
161811 Coloured Female DC4
1345 Indian or Asian Male DC4
1180 Indian or Asian Female DC4
52373 White Male DC4
57941 White Female DC4
5013 Other Male DC4
3405 Other Female DC4
4591 Black African Male DC5
4453 Black African Female DC5
26154 Coloured Male DC5
27921 Coloured Female DC5
186 Indian or Asian Male DC5
114 Indian or Asian Female DC5
3538 White Male DC5
3659 White Female DC5
298 Other Male DC5
95 Other Female DC5
722755 Black African Male CPT
722184 Black African Female CPT
759559 Coloured Male CPT
825727 Coloured Female CPT
26155 Indian or Asian Male CPT
25631 Indian or Asian Female CPT
280133 White Male CPT
305698 White Female CPT
42097 Other Male CPT
30087 Other Female CPT
\.
--
-- Data for Name: gender_populationgroup_municipality; Type: TABLE DATA; Schema: public; Owner: census
--
COPY gender_populationgroup_municipality (total, "population group", gender, municipality_code) FROM stdin;
6135 Black African Male EC101
6503 Black African Female EC101
16002 Coloured Male EC101
17052 Coloured Female EC101
156 Indian or Asian Male EC101
68 Indian or Asian Female EC101
2399 White Male EC101
2478 White Female EC101
143 Other Male EC101
57 Other Female EC101
10440 Black African Male EC102
10807 Black African Female EC102
5730 Coloured Male EC102
6159 Coloured Female EC102
84 Indian or Asian Male EC102
34 Indian or Asian Female EC102
1235 White Male EC102
1218 White Female EC102
191 Other Male EC102
104 Other Female EC102
1921 Black African Male EC103
1994 Black African Female EC103
2714 Coloured Male EC103
3044 Coloured Female EC103
10 Indian or Asian Male EC103
11 Indian or Asian Female EC103
371 White Male EC103
425 White Female EC103
39 Other Male EC103
9 Other Female EC103
29550 Black African Male EC104
33153 Black African Female EC104
4628 Coloured Male EC104
5097 Coloured Female EC104
262 Indian or Asian Male EC104
263 Indian or Asian Female EC104
3421 White Male EC104
3553 White Female EC104
314 Other Male EC104
150 Other Female EC104
22462 Black African Male EC105
25095 Black African Female EC105
2142 Coloured Male EC105
2330 Coloured Female EC105
92 Indian or Asian Male EC105
52 Indian or Asian Female EC105
4117 White Male EC105
4587 White Female EC105
222 Other Male EC105
77 Other Female EC105
19969 Black African Male EC106
19147 Black African Female EC106
5849 Coloured Male EC106
5794 Coloured Female EC106
44 Indian or Asian Male EC106
52 Indian or Asian Female EC106
1570 White Male EC106
1640 White Female EC106
329 Other Male EC106
110 Other Female EC106
1056 Black African Male EC107
1071 Black African Female EC107
6927 Coloured Male EC107
7327 Coloured Female EC107
20 Indian or Asian Male EC107
13 Indian or Asian Female EC107
635 White Male EC107
609 White Female EC107
71 Other Male EC107
31 Other Female EC107
19566 Black African Male EC108
18707 Black African Female EC108
20229 Coloured Male EC108
21760 Coloured Female EC108
132 Indian or Asian Male EC108
113 Indian or Asian Female EC108
8181 White Male EC108
9195 White Female EC108
482 Other Male EC108
192 Other Female EC108
6707 Black African Male EC109
5727 Black African Female EC109
11616 Coloured Male EC109
12719 Coloured Female EC109
59 Indian or Asian Male EC109
54 Indian or Asian Female EC109
1683 White Male EC109
1650 White Female EC109
340 Other Male EC109
108 Other Female EC109
116366 Black African Male EC121
137124 Black African Female EC121
185 Coloured Male EC121
186 Coloured Female EC121
179 Indian or Asian Male EC121
110 Indian or Asian Female EC121
215 White Male EC121
203 White Female EC121
285 Other Male EC121
56 Other Female EC121
116990 Black African Male EC122
133844 Black African Female EC122
257 Coloured Male EC122
229 Coloured Female EC122
188 Indian or Asian Male EC122
137 Indian or Asian Female EC122
272 White Male EC122
244 White Female EC122
166 Other Male EC122
63 Other Female EC122
17021 Black African Male EC123
18564 Black African Female EC123
249 Coloured Male EC123
258 Coloured Female EC123
25 Indian or Asian Male EC123
17 Indian or Asian Female EC123
1364 White Male EC123
1424 White Female EC123
44 Other Male EC123
24 Other Female EC123
56468 Black African Male EC124
61986 Black African Female EC124
714 Coloured Male EC124
802 Coloured Female EC124
81 Indian or Asian Male EC124
28 Indian or Asian Female EC124
1215 White Male EC124
1278 White Female EC124
169 Other Male EC124
37 Other Female EC124
33661 Black African Male EC126
37974 Black African Female EC126
80 Coloured Male EC126
75 Coloured Female EC126
43 Indian or Asian Male EC126
28 Indian or Asian Female EC126
138 White Male EC126
120 White Female EC126
62 Other Male EC126
9 Other Female EC126
57634 Black African Male EC127
62544 Black African Female EC127
2453 Coloured Male EC127
2635 Coloured Female EC127
143 Indian or Asian Male EC127
77 Indian or Asian Female EC127
662 White Male EC127
635 White Female EC127
241 Other Male EC127
91 Other Female EC127
8512 Black African Male EC128
9328 Black African Female EC128
2434 Coloured Male EC128
2574 Coloured Female EC128
47 Indian or Asian Male EC128
24 Indian or Asian Female EC128
569 White Male EC128
611 White Female EC128
114 Other Male EC128
49 Other Female EC128
17865 Black African Male EC131
18989 Black African Female EC131
10050 Coloured Male EC131
11039 Coloured Female EC131
117 Indian or Asian Male EC131
75 Indian or Asian Female EC131
3294 White Male EC131
3594 White Female EC131
345 Other Male EC131
193 Other Female EC131
14108 Black African Male EC132
16163 Black African Female EC132
950 Coloured Male EC132
978 Coloured Female EC132
40 Indian or Asian Male EC132
8 Indian or Asian Female EC132
468 White Male EC132
449 White Female EC132
89 Other Male EC132
26 Other Female EC132
9459 Black African Male EC133
10113 Black African Female EC133
455 Coloured Male EC133
440 Coloured Female EC133
19 Indian or Asian Male EC133
17 Indian or Asian Female EC133
664 White Male EC133
688 White Female EC133
79 Other Male EC133
37 Other Female EC133
83346 Black African Male EC134
93232 Black African Female EC134
3525 Coloured Male EC134
3664 Coloured Female EC134
559 Indian or Asian Male EC134
357 Indian or Asian Female EC134
2595 White Male EC134
2619 White Female EC134
595 Other Male EC134
232 Other Female EC134
68244 Black African Male EC135
76259 Black African Female EC135
201 Coloured Male EC135
142 Coloured Female EC135
131 Indian or Asian Male EC135
49 Indian or Asian Female EC135
67 White Male EC135
93 White Female EC135
154 Other Male EC135
31 Other Female EC135
55614 Black African Male EC136
62058 Black African Female EC136
350 Coloured Male EC136
341 Coloured Female EC136
135 Indian or Asian Male EC136
39 Indian or Asian Female EC136
322 White Male EC136
340 White Female EC136
199 Other Male EC136
61 Other Female EC136
71617 Black African Male EC137
83351 Black African Female EC137
84 Coloured Male EC137
65 Coloured Female EC137
69 Indian or Asian Male EC137
49 Indian or Asian Female EC137
69 White Male EC137
58 White Female EC137
114 Other Male EC137
38 Other Female EC137
29879 Black African Male EC138
32250 Black African Female EC138
244 Coloured Male EC138
239 Coloured Female EC138
78 Indian or Asian Male EC138
45 Indian or Asian Female EC138
339 White Male EC138
374 White Female EC138
106 Other Male EC138
29 Other Female EC138
64082 Black African Male EC141
71477 Black African Female EC141
682 Coloured Male EC141
642 Coloured Female EC141
116 Indian or Asian Male EC141
55 Indian or Asian Female EC141
464 White Male EC141
441 White Female EC141
139 Other Male EC141
44 Other Female EC141
60925 Black African Male EC142
69619 Black African Female EC142
792 Coloured Male EC142
818 Coloured Female EC142
199 Indian or Asian Male EC142
62 Indian or Asian Female EC142
756 White Male EC142
776 White Female EC142
133 Other Male EC142
71 Other Female EC142
17541 Black African Male EC143
19814 Black African Female EC143
1588 Coloured Male EC143
1656 Coloured Female EC143
75 Indian or Asian Male EC143
33 Indian or Asian Female EC143
1400 White Male EC143
1520 White Female EC143
131 Other Male EC143
42 Other Female EC143
11898 Black African Male EC144
12646 Black African Female EC144
2985 Coloured Male EC144
3015 Coloured Female EC144
59 Indian or Asian Male EC144
33 Indian or Asian Female EC144
1390 White Male EC144
1530 White Female EC144
89 Other Male EC144
32 Other Female EC144
127759 Black African Male EC153
148584 Black African Female EC153
590 Coloured Male EC153
561 Coloured Female EC153
248 Indian or Asian Male EC153
164 Indian or Asian Female EC153
145 White Male EC153
134 White Female EC153
232 Other Male EC153
64 Other Female EC153
70818 Black African Male EC154
84149 Black African Female EC154
349 Coloured Male EC154
280 Coloured Female EC154
94 Indian or Asian Male EC154
71 Indian or Asian Female EC154
167 White Male EC154
136 White Female EC154
55 Other Male EC154
18 Other Female EC154
133343 Black African Male EC155
155341 Black African Female EC155
445 Coloured Male EC155
424 Coloured Female EC155
181 Indian or Asian Male EC155
160 Indian or Asian Female EC155
150 White Male EC155
147 White Female EC155
122 Other Male EC155
77 Other Female EC155
86788 Black African Male EC156
100238 Black African Female EC156
191 Coloured Male EC156
191 Coloured Female EC156
159 Indian or Asian Male EC156
98 Indian or Asian Female EC156
193 White Male EC156
213 White Female EC156
109 Other Male EC156
46 Other Female EC156
204163 Black African Male EC157
240607 Black African Female EC157
1686 Coloured Male EC157
1718 Coloured Female EC157
901 Indian or Asian Male EC157
579 Indian or Asian Female EC157
703 White Male EC157
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499 Other Male EC157
203 Other Female EC157
91689 Black African Male EC441
108297 Black African Female EC441
887 Coloured Male EC441
885 Coloured Female EC441
305 Indian or Asian Male EC441
207 Indian or Asian Female EC441
666 White Male EC441
707 White Female EC441
128 Other Male EC441
71 Other Female EC441
87252 Black African Male EC442
103191 Black African Female EC442
317 Coloured Male EC442
251 Coloured Female EC442
124 Indian or Asian Male EC442
82 Indian or Asian Female EC442
94 White Male EC442
104 White Female EC442
159 Other Male EC442
45 Other Female EC442
127681 Black African Male EC443
153029 Black African Female EC443
246 Coloured Male EC443
242 Coloured Female EC443
179 Indian or Asian Male EC443
124 Indian or Asian Female EC443
125 White Male EC443
140 White Female EC443
101 Other Male EC443
38 Other Female EC443
56131 Black African Male EC444
67111 Black African Female EC444
215 Coloured Male EC444
262 Coloured Female EC444
84 Indian or Asian Male EC444
26 Indian or Asian Female EC444
32 White Male EC444
31 White Female EC444
71 Other Male EC444
11 Other Female EC444
303265 Black African Male BUF
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22131 Coloured Male BUF
23310 Coloured Female BUF
3297 Indian or Asian Male BUF
2945 Indian or Asian Female BUF
28190 White Male BUF
30067 White Female BUF
1673 Other Male BUF
833 Other Female BUF
331217 Black African Male NMA
361514 Black African Female NMA
129594 Coloured Male NMA
141875 Coloured Female NMA
6501 Indian or Asian Male NMA
6337 Indian or Asian Female NMA
79817 White Male NMA
85610 White Female NMA
5865 Other Male NMA
3785 Other Female NMA
13591 Black African Male FS161
12589 Black African Female FS161
4469 Coloured Male FS161
4576 Coloured Female FS161
104 Indian or Asian Male FS161
26 Indian or Asian Female FS161
1570 White Male FS161
1550 White Female FS161
118 Other Male FS161
35 Other Female FS161
17211 Black African Male FS162
17932 Black African Female FS162
4362 Coloured Male FS162
4597 Coloured Female FS162
159 Indian or Asian Male FS162
52 Indian or Asian Female FS162
2195 White Male FS162
2434 White Female FS162
157 Other Male FS162
71 Other Female FS162
14703 Black African Male FS163
16315 Black African Female FS163
358 Coloured Male FS163
411 Coloured Female FS163
72 Indian or Asian Male FS163
22 Indian or Asian Female FS163
1138 White Male FS163
1067 White Female FS163
43 Other Male FS163
18 Other Female FS163
10439 Black African Male FS164
12026 Black African Female FS164
245 Coloured Male FS164
222 Coloured Female FS164
80 Indian or Asian Male FS164
39 Indian or Asian Female FS164
591 White Male FS164
598 White Female FS164
54 Other Male FS164
20 Other Female FS164
29251 Black African Male FS181
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404 Coloured Male FS181
322 Coloured Female FS181
175 Indian or Asian Male FS181
35 Indian or Asian Female FS181
2004 White Male FS181
2212 White Female FS181
128 Other Male FS181
40 Other Female FS181
12133 Black African Male FS182
12349 Black African Female FS182
661 Coloured Male FS182
667 Coloured Female FS182
175 Indian or Asian Male FS182
21 Indian or Asian Female FS182
1379 White Male FS182
1503 White Female FS182
63 Other Male FS182
35 Other Female FS182
20732 Black African Male FS183
22718 Black African Female FS183
303 Coloured Male FS183
273 Coloured Female FS183
141 Indian or Asian Male FS183
32 Indian or Asian Female FS183
1595 White Male FS183
1706 White Female FS183
93 Other Male FS183
32 Other Female FS183
176806 Black African Male FS184
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4252 Coloured Male FS184
4481 Coloured Female FS184
1002 Indian or Asian Male FS184
454 Indian or Asian Female FS184
18915 White Male FS184
20217 White Female FS184
534 Other Male FS184
254 Other Female FS184
36078 Black African Male FS185
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237 Coloured Male FS185
264 Coloured Female FS185
162 Indian or Asian Male FS185
45 Indian or Asian Female FS185
2251 White Male FS185
2426 White Female FS185
138 Other Male FS185
45 Other Female FS185
48304 Black African Male FS191
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574 Coloured Male FS191
556 Coloured Female FS191
507 Indian or Asian Male FS191
386 Indian or Asian Female FS191
3076 White Male FS191
3291 White Female FS191
172 Other Male FS191
79 Other Female FS191
53290 Black African Male FS192
59247 Black African Female FS192
938 Coloured Male FS192
1052 Coloured Female FS192
378 Indian or Asian Male FS192
225 Indian or Asian Female FS192
6377 White Male FS192
6950 White Female FS192
171 Other Male FS192
77 Other Female FS192
26052 Black African Male FS193
29102 Black African Female FS193
104 Coloured Male FS193
80 Coloured Female FS193
102 Indian or Asian Male FS193
43 Indian or Asian Female FS193
2256 White Male FS193
2446 White Female FS193
97 Other Male FS193
41 Other Female FS193
150248 Black African Male FS194
179547 Black African Female FS194
333 Coloured Male FS194
351 Coloured Female FS194
437 Indian or Asian Male FS194
339 Indian or Asian Female FS194
2014 White Male FS194
2242 White Female FS194
178 Other Male FS194
96 Other Female FS194
21110 Black African Male FS195
22663 Black African Female FS195
118 Coloured Male FS195
75 Coloured Female FS195
135 Indian or Asian Male FS195
32 Indian or Asian Female FS195
1688 White Male FS195
1811 White Female FS195
111 Other Male FS195
30 Other Female FS195
21413 Black African Male FS196
23713 Black African Female FS196
991 Coloured Male FS196
1016 Coloured Female FS196
169 Indian or Asian Male FS196
128 Indian or Asian Female FS196
1668 White Male FS196
1699 White Female FS196
162 Other Male FS196
98 Other Female FS196
69356 Black African Male FS201
70613 Black African Female FS201
2257 Coloured Male FS201
2336 Coloured Female FS201
353 Indian or Asian Male FS201
180 Indian or Asian Female FS201
7181 White Male FS201
7787 White Female FS201
330 Other Male FS201
138 Other Female FS201
49541 Black African Male FS203
54679 Black African Female FS203
1514 Coloured Male FS203
1666 Coloured Female FS203
259 Indian or Asian Male FS203
90 Indian or Asian Female FS203
5866 White Male FS203
6579 White Female FS203
243 Other Male FS203
82 Other Female FS203
64068 Black African Male FS204
58629 Black African Female FS204
642 Coloured Male FS204
428 Coloured Female FS204
294 Indian or Asian Male FS204
183 Indian or Asian Female FS204
12246 White Male FS204
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386 Other Male FS204
88 Other Female FS204
25454 Black African Male FS205
27713 Black African Female FS205
187 Coloured Male FS205
185 Coloured Female FS205
117 Indian or Asian Male FS205
40 Indian or Asian Female FS205
1955 White Male FS205
2109 White Female FS205
92 Other Male FS205
25 Other Female FS205
301073 Black African Male MAN
321310 Black African Female MAN
18208 Coloured Male MAN
19129 Coloured Female MAN
2108 Indian or Asian Male MAN
1096 Indian or Asian Female MAN
39311 White Male MAN
42980 White Female MAN
1486 Other Male MAN
731 Other Female MAN
302263 Black African Male GT421
313832 Black African Female GT421
4056 Coloured Male GT421
4300 Coloured Female GT421
3787 Indian or Asian Male GT421
3290 Indian or Asian Female GT421
42582 White Male GT421
44366 White Female GT421
2175 Other Male GT421
1011 Other Female GT421
29277 Black African Male GT422
26366 Black African Female GT422
778 Coloured Male GT422
780 Coloured Female GT422
367 Indian or Asian Male GT422
383 Indian or Asian Female GT422
18493 White Male GT422
18376 White Female GT422
263 Other Male GT422
217 Other Female GT422
39621 Black African Male GT423
37298 Black African Female GT423
682 Coloured Male GT423
474 Coloured Female GT423
748 Indian or Asian Male GT423
565 Indian or Asian Female GT423
9811 White Male GT423
9752 White Female GT423
456 Other Male GT423
114 Other Female GT423
141178 Black African Male GT481
132640 Black African Female GT481
1492 Coloured Male GT481
1560 Coloured Female GT481
4179 Indian or Asian Male GT481
3700 Indian or Asian Female GT481
37043 White Male GT481
38898 White Female GT481
1089 Other Male GT481
643 Other Female GT481
52329 Black African Male GT482
50943 Black African Female GT482
7047 Coloured Male GT482
7571 Coloured Female GT482
392 Indian or Asian Male GT482
256 Indian or Asian Female GT482
14570 White Male GT482
15377 White Female GT482
547 Other Male GT482
253 Other Female GT482
56163 Black African Male GT483
45983 Black African Female GT483
357 Coloured Male GT483
393 Coloured Female GT483
222 Indian or Asian Male GT483
121 Indian or Asian Female GT483
3964 White Male GT483
3898 White Female GT483
447 Other Male GT483
220 Other Female GT483
93867 Black African Male GT484
77030 Black African Female GT484
1076 Coloured Male GT484
1054 Coloured Female GT484
321 Indian or Asian Male GT484
242 Indian or Asian Female GT484
11456 White Male GT484
11834 White Female GT484
437 Other Male GT484
203 Other Female GT484
1293462 Black African Male EKU
1209308 Black African Female EKU
41444 Coloured Male EKU
44466 Coloured Female EKU
35051 Indian or Asian Male EKU
33007 Indian or Asian Female EKU
245680 White Male EKU
256759 White Female EKU
12086 Other Male EKU
7208 Other Female EKU
1713385 Black African Male JHB
1675893 Black African Female JHB
118706 Coloured Male JHB
128570 Coloured Female JHB
108231 Indian or Asian Male JHB
107967 Indian or Asian Female JHB
263740 White Male JHB
280789 White Female JHB
21074 Other Male JHB
16471 Other Female JHB
1102422 Black African Male TSH
1100425 Black African Female TSH
28183 Coloured Male TSH
30605 Coloured Female TSH
27618 Indian or Asian Male TSH
26126 Indian or Asian Female TSH
283650 White Male TSH
302845 White Female TSH
11611 Other Male TSH
8003 Other Female TSH
74463 Black African Male KZN213
85825 Black African Female KZN213
99 Coloured Male KZN213
95 Coloured Female KZN213
82 Indian or Asian Male KZN213
99 Indian or Asian Female KZN213
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54 Other Female KZN213
43695 Black African Male KZN214
50799 Black African Female KZN214
517 Coloured Male KZN214
567 Coloured Female KZN214
196 Indian or Asian Male KZN214
176 Indian or Asian Female KZN214
251 White Male KZN214
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23720 Black African Male KZN215
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54 Indian or Asian Male KZN215
51 Indian or Asian Female KZN215
239 White Male KZN215
206 White Female KZN215
30 Other Male KZN215
10 Other Female KZN215
99429 Black African Male KZN216
111654 Black African Female KZN216
1716 Coloured Male KZN216
1948 Coloured Female KZN216
6443 Indian or Asian Male KZN216
6722 Indian or Asian Female KZN216
13230 White Male KZN216
14458 White Female KZN216
313 Other Male KZN216
222 Other Female KZN216
35623 Black African Male KZN211
40932 Black African Female KZN211
76 Coloured Male KZN211
74 Coloured Female KZN211
188 Indian or Asian Male KZN211
194 Indian or Asian Female KZN211
135 White Male KZN211
119 White Female KZN211
39 Other Male KZN211
22 Other Female KZN211
29395 Black African Male KZN212
31119 Black African Female KZN212
456 Coloured Male KZN212
463 Coloured Female KZN212
5160 Indian or Asian Male KZN212
5347 Indian or Asian Female KZN212
3154 White Male KZN212
3550 White Female KZN212
129 Other Male KZN212
102 Other Female KZN212
47833 Black African Male KZN221
53339 Black African Female KZN221
139 Coloured Male KZN221
123 Coloured Female KZN221
896 Indian or Asian Male KZN221
926 Indian or Asian Female KZN221
1450 White Male KZN221
1412 White Female KZN221
165 Other Male KZN221
89 Other Female KZN221
33697 Black African Male KZN222
35828 Black African Female KZN222
682 Coloured Male KZN222
748 Coloured Female KZN222
1785 Indian or Asian Male KZN222
1723 Indian or Asian Female KZN222
8533 White Male KZN222
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152 Other Male KZN222
92 Other Female KZN222
16899 Black African Male KZN223
18212 Black African Female KZN223
129 Coloured Male KZN223
98 Coloured Female KZN223
348 Indian or Asian Male KZN223
330 Indian or Asian Female KZN223
1032 White Male KZN223
935 White Female KZN223
78 Other Male KZN223
41 Other Female KZN223
15300 Black African Male KZN224
17452 Black African Female KZN224
53 Coloured Male KZN224
32 Coloured Female KZN224
22 Indian or Asian Male KZN224
20 Indian or Asian Female KZN224
96 White Male KZN224
78 White Female KZN224
21 Other Male KZN224
30 Other Female KZN224
238314 Black African Male KZN225
263192 Black African Female KZN225
8419 Coloured Male KZN225
9339 Coloured Female KZN225
29220 Indian or Asian Male KZN225
31372 Indian or Asian Female KZN225
17420 White Male KZN225
19440 White Female KZN225
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740 Other Female KZN225
28530 Black African Male KZN226
31310 Black African Female KZN226
97 Coloured Male KZN226
74 Coloured Female KZN226
380 Indian or Asian Male KZN226
273 Indian or Asian Female KZN226
1186 White Male KZN226
1177 White Female KZN226
78 Other Male KZN226
38 Other Female KZN226
30264 Black African Male KZN227
32371 Black African Female KZN227
315 Coloured Male KZN227
290 Coloured Female KZN227
381 Indian or Asian Male KZN227
353 Indian or Asian Female KZN227
861 White Male KZN227
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52 Other Female KZN227
101933 Black African Male KZN232
115923 Black African Female KZN232
1076 Coloured Male KZN232
1253 Coloured Female KZN232
5261 Indian or Asian Male KZN232
5166 Indian or Asian Female KZN232
3067 White Male KZN232
3301 White Female KZN232
281 Other Male KZN232
177 Other Female KZN232
46286 Black African Male KZN233
56436 Black African Female KZN233
46 Coloured Male KZN233
46 Coloured Female KZN233
114 Indian or Asian Male KZN233
73 Indian or Asian Female KZN233
38 White Male KZN233
33 White Female KZN233
25 Other Male KZN233
19 Other Female KZN233
34574 Black African Male KZN234
40450 Black African Female KZN234
569 Coloured Male KZN234
566 Coloured Female KZN234
2386 Indian or Asian Male KZN234
2450 Indian or Asian Female KZN234
948 White Male KZN234
959 White Female KZN234
138 Other Male KZN234
113 Other Female KZN234
59705 Black African Male KZN235
68558 Black African Female KZN235
143 Coloured Male KZN235
144 Coloured Female KZN235
226 Indian or Asian Male KZN235
242 Indian or Asian Female KZN235
1411 White Male KZN235
1411 White Female KZN235
139 Other Male KZN235
88 Other Female KZN235
52522 Black African Male KZN236
60007 Black African Female KZN236
42 Coloured Male KZN236
37 Coloured Female KZN236
55 Indian or Asian Male KZN236
49 Indian or Asian Female KZN236
145 White Male KZN236
125 White Female KZN236
53 Other Male KZN236
37 Other Female KZN236
71191 Black African Male KZN271
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78 Coloured Male KZN271
62 Coloured Female KZN271
113 Indian or Asian Male KZN271
78 Indian or Asian Female KZN271
297 White Male KZN271
231 White Female KZN271
89 Other Male KZN271
74 Other Female KZN271
85287 Black African Male KZN272
99675 Black African Female KZN272
95 Coloured Male KZN272
89 Coloured Female KZN272
256 Indian or Asian Male KZN272
189 Indian or Asian Female KZN272
274 White Male KZN272
259 White Female KZN272
205 Other Male KZN272
174 Other Female KZN272
15762 Black African Male KZN273
18022 Black African Female KZN273
57 Coloured Male KZN273
54 Coloured Female KZN273
45 Indian or Asian Male KZN273
41 Indian or Asian Female KZN273
580 White Male KZN273
558 White Female KZN273
61 Other Male KZN273
77 Other Female KZN273
32744 Black African Male KZN274
38780 Black African Female KZN274
38 Coloured Male KZN274
48 Coloured Female KZN274
59 Indian or Asian Male KZN274
54 Indian or Asian Female KZN274
46 White Male KZN274
43 White Female KZN274
55 Other Male KZN274
57 Other Female KZN274
79670 Black African Male KZN275
92478 Black African Female KZN275
316 Coloured Male KZN275
314 Coloured Female KZN275
271 Indian or Asian Male KZN275
284 Indian or Asian Female KZN275
941 White Male KZN275
962 White Female KZN275
116 Other Male KZN275
73 Other Female KZN275
142167 Black African Male KZN282
151187 Black African Female KZN282
1621 Coloured Male KZN282
1550 Coloured Female KZN282
6257 Indian or Asian Male KZN282
6395 Indian or Asian Female KZN282
12453 White Male KZN282
12110 White Female KZN282
444 Other Male KZN282
276 Other Female KZN282
50391 Black African Male KZN286
63532 Black African Female KZN286
61 Coloured Male KZN286
54 Coloured Female KZN286
55 Indian or Asian Male KZN286
49 Indian or Asian Female KZN286
69 White Male KZN286
98 White Female KZN286
70 Other Male KZN286
38 Other Female KZN286
58251 Black African Male KZN281
63145 Black African Female KZN281
129 Coloured Male KZN281
88 Coloured Female KZN281
120 Indian or Asian Male KZN281
133 Indian or Asian Female KZN281
461 White Male KZN281
466 White Female KZN281
60 Other Male KZN281
36 Other Female KZN281
34037 Black African Male KZN283
39868 Black African Female KZN283
70 Coloured Male KZN283
57 Coloured Female KZN283
61 Indian or Asian Male KZN283
53 Indian or Asian Female KZN283
60 White Male KZN283
56 White Female KZN283
52 Other Male KZN283
23 Other Female KZN283
95339 Black African Male KZN284
111991 Black African Female KZN284
556 Coloured Male KZN284
627 Coloured Female KZN284
626 Indian or Asian Male KZN284
770 Indian or Asian Female KZN284
1607 White Male KZN284
1675 White Female KZN284
280 Other Male KZN284
130 Other Female KZN284
21689 Black African Male KZN285
25400 Black African Female KZN285
107 Coloured Male KZN285
107 Coloured Female KZN285
66 Indian or Asian Male KZN285
48 Indian or Asian Female KZN285
164 White Male KZN285
156 White Female KZN285
75 Other Male KZN285
6 Other Female KZN285
46069 Black African Male KZN431
53214 Black African Female KZN431
139 Coloured Male KZN431
104 Coloured Female KZN431
63 Indian or Asian Male KZN431
51 Indian or Asian Female KZN431
404 White Male KZN431
393 White Female KZN431
78 Other Male KZN431
34 Other Female KZN431
5891 Black African Male KZN432
5444 Black African Female KZN432
63 Coloured Male KZN432
47 Coloured Female KZN432
30 Indian or Asian Male KZN432
21 Indian or Asian Female KZN432
677 White Male KZN432
673 White Female KZN432
26 Other Male KZN432
25 Other Female KZN432
27715 Black African Male KZN433
29783 Black African Female KZN433
2694 Coloured Male KZN433
2707 Coloured Female KZN433
408 Indian or Asian Male KZN433
325 Indian or Asian Female KZN433
1107 White Male KZN433
1087 White Female KZN433
108 Other Male KZN433
47 Other Female KZN433
45977 Black African Male KZN434
53212 Black African Female KZN434
564 Coloured Male KZN434
608 Coloured Female KZN434
193 Indian or Asian Male KZN434
193 Indian or Asian Female KZN434
423 White Male KZN434
407 White Female KZN434
89 Other Male KZN434
26 Other Female KZN434
81089 Black African Male KZN435
98015 Black African Female KZN435
307 Coloured Male KZN435
313 Coloured Female KZN435
142 Indian or Asian Male KZN435
82 Indian or Asian Female KZN435
80 White Male KZN435
104 White Female KZN435
132 Other Male KZN435
39 Other Female KZN435
26574 Black African Male KZN241
27875 Black African Female KZN241
806 Coloured Male KZN241
873 Coloured Female KZN241
1854 Indian or Asian Male KZN241
1957 Indian or Asian Female KZN241
2265 White Male KZN241
2418 White Female KZN241
139 Other Male KZN241
103 Other Female KZN241
74903 Black African Male KZN242
89849 Black African Female KZN242
53 Coloured Male KZN242
57 Coloured Female KZN242
85 Indian or Asian Male KZN242
86 Indian or Asian Female KZN242
56 White Male KZN242
73 White Female KZN242
97 Other Male KZN242
49 Other Female KZN242
76765 Black African Male KZN244
100016 Black African Female KZN244
79 Coloured Male KZN244
103 Coloured Female KZN244
104 Indian or Asian Male KZN244
129 Indian or Asian Female KZN244
131 White Male KZN244
137 White Female KZN244
64 Other Male KZN244
47 Other Female KZN244
42896 Black African Male KZN245
54579 Black African Female KZN245
375 Coloured Male KZN245
442 Coloured Female KZN245
1112 Indian or Asian Male KZN245
1186 Indian or Asian Female KZN245
1081 White Male KZN245
1229 White Female KZN245
137 Other Male KZN245
56 Other Female KZN245
158094 Black African Male KZN252
175563 Black African Female KZN252
1323 Coloured Male KZN252
1410 Coloured Female KZN252
5895 Indian or Asian Male KZN252
5791 Indian or Asian Female KZN252
6974 White Male KZN252
7301 White Female KZN252
560 Other Male KZN252
325 Other Female KZN252
16240 Black African Male KZN253
15680 Black African Female KZN253
194 Coloured Male KZN253
237 Coloured Female KZN253
28 Indian or Asian Male KZN253
14 Indian or Asian Female KZN253
973 White Male KZN253
995 White Female KZN253
52 Other Male KZN253
30 Other Female KZN253
47065 Black African Male KZN254
52501 Black African Female KZN254
141 Coloured Male KZN254
145 Coloured Female KZN254
723 Indian or Asian Male KZN254
716 Indian or Asian Female KZN254
398 White Male KZN254
388 White Female KZN254
53 Other Male KZN254
31 Other Female KZN254
95734 Black African Male KZN263
105706 Black African Female KZN263
530 Coloured Male KZN263
525 Coloured Female KZN263
461 Indian or Asian Male KZN263
424 Indian or Asian Female KZN263
3570 White Male KZN263
3813 White Female KZN263
179 Other Male KZN263
118 Other Female KZN263
37508 Black African Male KZN261
42713 Black African Female KZN261
32 Coloured Male KZN261
33 Coloured Female KZN261
97 Indian or Asian Male KZN261
72 Indian or Asian Female KZN261
710 White Male KZN261
742 White Female KZN261
100 Other Male KZN261
46 Other Female KZN261
58494 Black African Male KZN262
66373 Black African Female KZN262
60 Coloured Male KZN262
46 Coloured Female KZN262
98 Indian or Asian Male KZN262
83 Indian or Asian Female KZN262
992 White Male KZN262
950 White Female KZN262
84 Other Male KZN262
58 Other Female KZN262
88017 Black African Male KZN265
105990 Black African Female KZN265
134 Coloured Male KZN265
136 Coloured Female KZN265
163 Indian or Asian Male KZN265
143 Indian or Asian Female KZN265
102 White Male KZN265
93 White Female KZN265
74 Other Male KZN265
57 Other Female KZN265
84556 Black African Male KZN266
102789 Black African Female KZN266
102 Coloured Male KZN266
102 Coloured Female KZN266
127 Indian or Asian Male KZN266
107 Indian or Asian Female KZN266
154 White Male KZN266
162 White Female KZN266
122 Other Male KZN266
95 Other Female KZN266
43075 Black African Male KZN294
53325 Black African Female KZN294
36 Coloured Male KZN294
42 Coloured Female KZN294
49 Indian or Asian Male KZN294
45 Indian or Asian Female KZN294
34 White Male KZN294
62 White Female KZN294
28 Other Male KZN294
29 Other Female KZN294
63099 Black African Male KZN291
70461 Black African Female KZN291
360 Coloured Male KZN291
358 Coloured Female KZN291
1102 Indian or Asian Male KZN291
1184 Indian or Asian Female KZN291
662 White Male KZN291
656 White Female KZN291
109 Other Male KZN291
86 Other Female KZN291
90355 Black African Male KZN292
91930 Black African Female KZN292
1069 Coloured Male KZN292
1144 Coloured Female KZN292
15724 Indian or Asian Male KZN292
16806 Indian or Asian Female KZN292
6243 White Male KZN292
6642 White Female KZN292
768 Other Male KZN292
506 Other Female KZN292
65147 Black African Male KZN293
73366 Black African Female KZN293
113 Coloured Male KZN293
99 Coloured Female KZN293
495 Indian or Asian Male KZN293
506 Indian or Asian Female KZN293
201 White Male KZN293
213 White Female KZN293
340 Other Male KZN293
339 Other Female KZN293
1246430 Black African Male ETH
1294011 Black African Female ETH
40457 Coloured Male ETH
45451 Coloured Female ETH
276886 Indian or Asian Male ETH
296448 Indian or Asian Female ETH
110468 White Male ETH
117938 White Female ETH
8165 Other Male ETH
6107 Other Female ETH
107393 Black African Male LIM331
135550 Black African Female LIM331
75 Coloured Male LIM331
94 Coloured Female LIM331
375 Indian or Asian Male LIM331
239 Indian or Asian Female LIM331
169 White Male LIM331
165 White Female LIM331
112 Other Male LIM331
47 Other Female LIM331
93928 Black African Male LIM332
116287 Black African Female LIM332
81 Coloured Male LIM332
87 Coloured Female LIM332
122 Indian or Asian Male LIM332
58 Indian or Asian Female LIM332
932 White Male LIM332
867 White Female LIM332
241 Other Male LIM332
98 Other Female LIM332
174164 Black African Male LIM333
201740 Black African Female LIM333
335 Coloured Male LIM333
339 Coloured Female LIM333
877 Indian or Asian Male LIM333
532 Indian or Asian Female LIM333
5777 White Male LIM333
5784 White Female LIM333
405 Other Male LIM333
141 Other Female LIM333
67642 Black African Male LIM334
72439 Black African Female LIM334
229 Coloured Male LIM334
247 Coloured Female LIM334
180 Indian or Asian Male LIM334
129 Indian or Asian Female LIM334
4871 White Male LIM334
4757 White Female LIM334
94 Other Male LIM334
48 Other Female LIM334
41353 Black African Male LIM335
49237 Black African Female LIM335
162 Coloured Male LIM335
132 Coloured Female LIM335
133 Indian or Asian Male LIM335
85 Indian or Asian Female LIM335
1811 White Male LIM335
1780 White Female LIM335
118 Other Male LIM335
48 Other Female LIM335
41177 Black African Male LIM342
50045 Black African Female LIM342
55 Coloured Male LIM342
32 Coloured Female LIM342
51 Indian or Asian Male LIM342
18 Indian or Asian Female LIM342
207 White Male LIM342
208 White Female LIM342
55 Other Male LIM342
22 Other Female LIM342
276087 Black African Male LIM343
337992 Black African Female LIM343
190 Coloured Male LIM343
213 Coloured Female LIM343
1794 Indian or Asian Male LIM343
1256 Indian or Asian Female LIM343
233 White Male LIM343
209 White Female LIM343
346 Other Male LIM343
143 Other Female LIM343
32373 Black African Male LIM341
31912 Black African Female LIM341
118 Coloured Male LIM341
111 Coloured Female LIM341
231 Indian or Asian Male LIM341
98 Indian or Asian Female LIM341
1640 White Male LIM341
1644 White Female LIM341
143 Other Male LIM341
88 Other Female LIM341
229489 Black African Male LIM344
272634 Black African Female LIM344
573 Coloured Male LIM344
542 Coloured Female LIM344
1059 Indian or Asian Male LIM344
760 Indian or Asian Female LIM344
5290 White Male LIM344
5167 White Female LIM344
384 Other Male LIM344
134 Other Female LIM344
73195 Black African Male LIM351
87880 Black African Female LIM351
40 Coloured Male LIM351
26 Coloured Female LIM351
129 Indian or Asian Male LIM351
22 Indian or Asian Female LIM351
540 White Male LIM351
466 White Female LIM351
249 Other Male LIM351
83 Other Female LIM351
58812 Black African Male LIM352
71825 Black African Female LIM352
33 Coloured Male LIM352
43 Coloured Female LIM352
86 Indian or Asian Male LIM352
21 Indian or Asian Female LIM352
42 White Male LIM352
43 White Female LIM352
199 Other Male LIM352
61 Other Female LIM352
48890 Black African Male LIM353
57655 Black African Female LIM353
64 Coloured Male LIM353
75 Coloured Female LIM353
97 Indian or Asian Male LIM353
37 Indian or Asian Female LIM353
630 White Male LIM353
580 White Female LIM353
200 Other Male LIM353
94 Other Female LIM353
279161 Black African Male LIM354
304993 Black African Female LIM354
2928 Coloured Male LIM354
2892 Coloured Female LIM354
2578 Indian or Asian Male LIM354
2055 Indian or Asian Female LIM354
16582 White Male LIM354
16280 White Female LIM354
984 Other Male LIM354
547 Other Female LIM354
104256 Black African Male LIM355
125207 Black African Female LIM355
85 Coloured Male LIM355
86 Coloured Female LIM355
153 Indian or Asian Male LIM355
56 Indian or Asian Female LIM355
161 White Male LIM355
146 White Female LIM355
149 Other Male LIM355
49 Other Female LIM355
42773 Black African Male LIM361
29072 Black African Female LIM361
310 Coloured Male LIM361
217 Coloured Female LIM361
130 Indian or Asian Male LIM361
75 Indian or Asian Female LIM361
6420 White Male LIM361
5889 White Female LIM361
244 Other Male LIM361
104 Other Female LIM361
56704 Black African Male LIM362
48259 Black African Female LIM362
708 Coloured Male LIM362
315 Coloured Female LIM362
254 Indian or Asian Male LIM362
90 Indian or Asian Female LIM362
4902 White Male LIM362
4217 White Female LIM362
250 Other Male LIM362
67 Other Female LIM362
15748 Black African Male LIM364
14760 Black African Female LIM364
67 Coloured Male LIM364
64 Coloured Female LIM364
54 Indian or Asian Male LIM364
16 Indian or Asian Female LIM364
2311 White Male LIM364
2410 White Female LIM364
149 Other Male LIM364
60 Other Female LIM364
30614 Black African Male LIM365
29760 Black African Female LIM365
131 Coloured Male LIM365
118 Coloured Female LIM365
192 Indian or Asian Male LIM365
94 Indian or Asian Female LIM365
3591 White Male LIM365
3788 White Female LIM365
160 Other Male LIM365
67 Other Female LIM365
28799 Black African Male LIM366
27603 Black African Female LIM366
489 Coloured Male LIM366
476 Coloured Female LIM366
218 Indian or Asian Male LIM366
161 Indian or Asian Female LIM366
4127 White Male LIM366
4433 White Female LIM366
122 Other Male LIM366
74 Other Female LIM366
137512 Black African Male LIM367
158285 Black African Female LIM367
208 Coloured Male LIM367
195 Coloured Female LIM367
984 Indian or Asian Male LIM367
661 Indian or Asian Female LIM367
4583 White Male LIM367
4691 White Female LIM367
415 Other Male LIM367
148 Other Female LIM367
56730 Black African Male LIM471
64150 Black African Female LIM471
56 Coloured Male LIM471
55 Coloured Female LIM471
189 Indian or Asian Male LIM471
103 Indian or Asian Female LIM471
1011 White Male LIM471
1018 White Female LIM471
220 Other Male LIM471
115 Other Female LIM471
112611 Black African Male LIM472
131471 Black African Female LIM472
162 Coloured Male LIM472
177 Coloured Female LIM472
358 Indian or Asian Male LIM472
143 Indian or Asian Female LIM472
2058 White Male LIM472
1983 White Female LIM472
313 Other Male LIM472
85 Other Female LIM472
120795 Black African Male LIM473
152770 Black African Female LIM473
49 Coloured Male LIM473
58 Coloured Female LIM473
222 Indian or Asian Male LIM473
107 Indian or Asian Female LIM473
67 White Male LIM473
86 White Female LIM473
149 Other Male LIM473
54 Other Female LIM473
41910 Black African Male LIM474
51302 Black African Female LIM474
17 Coloured Male LIM474
14 Coloured Female LIM474
47 Indian or Asian Male LIM474
14 Indian or Asian Female LIM474
199 White Male LIM474
184 White Female LIM474
86 Other Male LIM474
22 Other Female LIM474
157156 Black African Male LIM475
172654 Black African Female LIM475
358 Coloured Male LIM475
284 Coloured Female LIM475
307 Indian or Asian Male LIM475
230 Indian or Asian Female LIM475
2380 White Male LIM475
2029 White Female LIM475
196 Other Male LIM475
81 Other Female LIM475
84668 Black African Male MP301
96863 Black African Female MP301
237 Coloured Male MP301
197 Coloured Female MP301
514 Indian or Asian Male MP301
241 Indian or Asian Female MP301
1478 White Male MP301
1459 White Female MP301
291 Other Male MP301
62 Other Female MP301
65001 Black African Male MP302
66625 Black African Female MP302
480 Coloured Male MP302
412 Coloured Female MP302
975 Indian or Asian Male MP302
703 Indian or Asian Female MP302
7346 White Male MP302
7360 White Female MP302
311 Other Male MP302
164 Other Female MP302
77528 Black African Male MP303
85304 Black African Female MP303
450 Coloured Male MP303
444 Coloured Female MP303
786 Indian or Asian Male MP303
630 Indian or Asian Female MP303
3221 White Male MP303
3226 White Female MP303
278 Other Male MP303
115 Other Female MP303
35596 Black African Male MP304
39761 Black African Female MP304
260 Coloured Male MP304
267 Coloured Female MP304
536 Indian or Asian Male MP304
422 Indian or Asian Female MP304
2969 White Male MP304
3199 White Female MP304
159 Other Male MP304
65 Other Female MP304
48375 Black African Male MP305
48988 Black African Female MP305
1592 Coloured Male MP305
1712 Coloured Female MP305
736 Indian or Asian Male MP305
660 Indian or Asian Female MP305
6649 White Male MP305
6564 White Female MP305
296 Other Male MP305
91 Other Female MP305
19289 Black African Male MP306
18790 Black African Female MP306
96 Coloured Male MP306
117 Coloured Female MP306
203 Indian or Asian Male MP306
190 Indian or Asian Female MP306
1818 White Male MP306
1814 White Female MP306
56 Other Male MP306
16 Other Female MP306
122927 Black African Male MP307
114263 Black African Female MP307
2353 Coloured Male MP307
2149 Coloured Female MP307
2378 Indian or Asian Male MP307
2028 Indian or Asian Female MP307
23716 White Male MP307
23460 White Female MP307
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426 Other Female MP307
31875 Black African Male MP311
30214 Black African Female MP311
408 Coloured Male MP311
401 Coloured Female MP311
170 Indian or Asian Male MP311
89 Indian or Asian Female MP311
6197 White Male MP311
5864 White Female MP311
167 Other Male MP311
68 Other Female MP311
171024 Black African Male MP312
150644 Black African Female MP312
3417 Coloured Male MP312
3299 Coloured Female MP312
2080 Indian or Asian Male MP312
1481 Indian or Asian Female MP312
31038 White Male MP312
30855 White Female MP312
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435 Other Female MP312
88889 Black African Male MP313
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2952 Coloured Male MP313
3036 Coloured Female MP313
1959 Indian or Asian Male MP313
1741 Indian or Asian Female MP313
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25198 White Female MP313
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288 Other Female MP313
20985 Black African Male MP314
20183 Black African Female MP314
303 Coloured Male MP314
260 Coloured Female MP314
212 Indian or Asian Male MP314
118 Indian or Asian Female MP314
2542 White Male MP314
2534 White Female MP314
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22 Other Female MP314
146040 Black African Male MP315
161912 Black African Female MP315
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326 Coloured Female MP315
747 Indian or Asian Male MP315
283 Indian or Asian Female MP315
162 White Male MP315
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124 Other Female MP315
116493 Black African Male MP316
131823 Black African Female MP316
130 Coloured Male MP316
117 Coloured Female MP316
538 Indian or Asian Male MP316
130 Indian or Asian Female MP316
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71 White Female MP316
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70 Other Female MP316
41280 Black African Male MP321
39005 Black African Female MP321
1239 Coloured Male MP321
1353 Coloured Female MP321
341 Indian or Asian Male MP321
254 Indian or Asian Female MP321
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7185 White Female MP321
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175 Other Female MP321
254829 Black African Male MP322
271579 Black African Female MP322
2709 Coloured Male MP322
2883 Coloured Female MP322
2277 Indian or Asian Male MP322
1947 Indian or Asian Female MP322
25231 White Male MP322
26220 White Female MP322
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416 Other Female MP322
30772 Black African Male MP323
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726 Coloured Female MP323
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291 Indian or Asian Female MP323
3267 White Male MP323
3288 White Female MP323
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181260 Black African Male MP324
202814 Black African Female MP324
428 Coloured Male MP324
461 Coloured Female MP324
882 Indian or Asian Male MP324
433 Indian or Asian Female MP324
3201 White Male MP324
3101 White Female MP324
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147 Other Female MP324
244539 Black African Male MP325
294251 Black African Female MP325
259 Coloured Male MP325
302 Coloured Female MP325
432 Indian or Asian Male MP325
111 Indian or Asian Female MP325
550 White Male MP325
503 White Female MP325
243 Other Male MP325
58 Other Female MP325
90476 Black African Male NW371
95352 Black African Female NW371
144 Coloured Male NW371
141 Coloured Female NW371
212 Indian or Asian Male NW371
52 Indian or Asian Female NW371
172 White Male NW371
173 White Female NW371
188 Other Male NW371
36 Other Female NW371
227162 Black African Male NW372
199030 Black African Female NW372
2120 Coloured Male NW372
2172 Coloured Female NW372
1501 Indian or Asian Male NW372
944 Indian or Asian Female NW372
22041 White Male NW372
20651 White Female NW372
1168 Other Male NW372
593 Other Female NW372
269349 Black African Male NW373
217062 Black African Female NW373
2504 Coloured Male NW373
2358 Coloured Female NW373
2364 Indian or Asian Male NW373
1851 Indian or Asian Female NW373
26111 White Male NW373
25728 White Female NW373
1467 Other Male NW373
780 Other Female NW373
21607 Black African Male NW374
19267 Black African Female NW374
466 Coloured Male NW374
406 Coloured Female NW374
247 Indian or Asian Male NW374
204 Indian or Asian Female NW374
4505 White Male NW374
4063 White Female NW374
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75 Other Female NW374
118092 Black African Male NW375
120424 Black African Female NW375
325 Coloured Male NW375
294 Coloured Female NW375
837 Indian or Asian Male NW375
363 Indian or Asian Female NW375
989 White Male NW375
840 White Female NW375
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117 Other Female NW375
50161 Black African Male NW381
55254 Black African Female NW381
412 Coloured Male NW381
338 Coloured Female NW381
188 Indian or Asian Male NW381
39 Indian or Asian Female NW381
451 White Male NW381
351 White Female NW381
98 Other Male NW381
47 Other Female NW381
56956 Black African Male NW382
57862 Black African Female NW382
948 Coloured Male NW382
840 Coloured Female NW382
313 Indian or Asian Male NW382
69 Indian or Asian Female NW382
3520 White Male NW382
3427 White Female NW382
193 Other Male NW382
88 Other Female NW382
134493 Black African Male NW383
143789 Black African Female NW383
3406 Coloured Male NW383
3285 Coloured Female NW383
1423 Indian or Asian Male NW383
905 Indian or Asian Female NW383
1970 White Male NW383
1800 White Female NW383
350 Other Male NW383
107 Other Female NW383
75765 Black African Male NW384
74751 Black African Female NW384
1604 Coloured Male NW384
1632 Coloured Female NW384
621 Indian or Asian Male NW384
314 Indian or Asian Female NW384
6987 White Male NW384
6784 White Female NW384
320 Other Male NW384
124 Other Female NW384
68588 Black African Male NW385
73632 Black African Female NW385
697 Coloured Male NW385
648 Coloured Female NW385
665 Indian or Asian Male NW385
431 Indian or Asian Female NW385
2969 White Male NW385
2690 White Female NW385
300 Other Male NW385
92 Other Female NW385
24977 Black African Male NW392
24447 Black African Female NW392
4752 Coloured Male NW392
5075 Coloured Female NW392
375 Indian or Asian Male NW392
373 Indian or Asian Female NW392
3143 White Male NW392
3209 White Female NW392
256 Other Male NW392
174 Other Female NW392
27226 Black African Male NW393
27969 Black African Female NW393
704 Coloured Male NW393
652 Coloured Female NW393
202 Indian or Asian Male NW393
88 Indian or Asian Female NW393
1677 White Male NW393
1653 White Female NW393
134 Other Male NW393
51 Other Female NW393
82026 Black African Male NW394
92480 Black African Female NW394
843 Coloured Male NW394
927 Coloured Female NW394
336 Indian or Asian Male NW394
71 Indian or Asian Female NW394
368 White Male NW394
333 White Female NW394
183 Other Male NW394
76 Other Female NW394
21555 Black African Male NW396
21702 Black African Female NW396
1950 Coloured Male NW396
1975 Coloured Female NW396
203 Indian or Asian Male NW396
94 Indian or Asian Female NW396
2730 White Male NW396
2831 White Female NW396
162 Other Male NW396
47 Other Female NW396
48469 Black African Male NW397
53131 Black African Female NW397
780 Coloured Male NW397
688 Coloured Female NW397
219 Indian or Asian Male NW397
42 Indian or Asian Female NW397
1251 White Male NW397
932 White Female NW397
199 Other Male NW397
77 Other Female NW397
26298 Black African Male NW401
24803 Black African Female NW401
775 Coloured Male NW401
764 Coloured Female NW401
105 Indian or Asian Male NW401
67 Indian or Asian Female NW401
1743 White Male NW401
1603 White Female NW401
325 Other Male NW401
220 Other Female NW401
57542 Black African Male NW402
58469 Black African Female NW402
5229 Coloured Male NW402
5773 Coloured Female NW402
810 Indian or Asian Male NW402
735 Indian or Asian Female NW402
15953 White Male NW402
17586 White Female NW402
433 Other Male NW402
232 Other Female NW402
162030 Black African Male NW403
160842 Black African Female NW403
6869 Coloured Male NW403
7088 Coloured Female NW403
1880 Indian or Asian Male NW403
1209 Indian or Asian Female NW403
27876 White Male NW403
29865 White Female NW403
709 Other Male NW403
308 Other Female NW403
34227 Black African Male NW404
34802 Black African Female NW404
907 Coloured Male NW404
917 Coloured Female NW404
212 Indian or Asian Male NW404
87 Indian or Asian Female NW404
3170 White Male NW404
3237 White Female NW404
163 Other Male NW404
71 Other Female NW404
885 Black African Male NC061
683 Black African Female NC061
4771 Coloured Male NC061
4407 Coloured Female NC061
27 Indian or Asian Male NC061
31 Indian or Asian Female NC061
511 White Male NC061
502 White Female NC061
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20194 Coloured Male NC062
21232 Coloured Female NC062
117 Indian or Asian Male NC062
102 Indian or Asian Female NC062
1524 White Male NC062
1560 White Female NC062
234 Other Male NC062
119 Other Female NC062
280 Black African Male NC064
262 Black African Female NC064
4409 Coloured Male NC064
4313 Coloured Female NC064
26 Indian or Asian Male NC064
25 Indian or Asian Female NC064
390 White Male NC064
431 White Female NC064
31 Other Male NC064
19 Other Female NC064
532 Black African Male NC065
413 Black African Female NC065
8867 Coloured Male NC065
8874 Coloured Female NC065
71 Indian or Asian Male NC065
75 Indian or Asian Female NC065
1242 White Male NC065
1367 White Female NC065
96 Other Male NC065
41 Other Female NC065
386 Black African Male NC066
308 Black African Female NC066
4928 Coloured Male NC066
5006 Coloured Female NC066
50 Indian or Asian Male NC066
34 Indian or Asian Female NC066
859 White Male NC066
973 White Female NC066
31 Other Male NC066
14 Other Female NC066
1388 Black African Male NC067
806 Black African Female NC067
4682 Coloured Male NC067
4677 Coloured Female NC067
31 Indian or Asian Male NC067
24 Indian or Asian Female NC067
395 White Male NC067
358 White Female NC067
64 Other Male NC067
39 Other Female NC067
2072 Black African Male NC071
1892 Black African Female NC071
6288 Coloured Male NC071
6689 Coloured Female NC071
50 Indian or Asian Male NC071
46 Indian or Asian Female NC071
702 White Male NC071
707 White Female NC071
114 Other Male NC071
43 Other Female NC071
8531 Black African Male NC072
9221 Black African Female NC072
4161 Coloured Male NC072
4514 Coloured Female NC072
97 Indian or Asian Male NC072
59 Indian or Asian Female NC072
778 White Male NC072
827 White Female NC072
122 Other Male NC072
65 Other Female NC072
6880 Black African Male NC073
7179 Black African Female NC073
11864 Coloured Male NC073
12571 Coloured Female NC073
155 Indian or Asian Male NC073
81 Indian or Asian Female NC073
1654 White Male NC073
1733 White Female NC073
169 Other Male NC073
68 Other Female NC073
349 Black African Male NC074
212 Black African Female NC074
4830 Coloured Male NC074
5106 Coloured Female NC074
27 Indian or Asian Male NC074
29 Indian or Asian Female NC074
509 White Male NC074
553 White Female NC074
40 Other Male NC074
18 Other Female NC074
1757 Black African Male NC075
1859 Black African Female NC075
3073 Coloured Male NC075
3226 Coloured Female NC075
38 Indian or Asian Male NC075
21 Indian or Asian Female NC075
462 White Male NC075
480 White Female NC075
42 Other Male NC075
21 Other Female NC075
1246 Black African Male NC076
1145 Black African Female NC076
5509 Coloured Male NC076
5599 Coloured Female NC076
68 Indian or Asian Male NC076
14 Indian or Asian Female NC076
1101 White Male NC076
953 White Female NC076
52 Other Male NC076
13 Other Female NC076
2074 Black African Male NC077
1975 Black African Female NC077
7661 Coloured Male NC077
7864 Coloured Female NC077
65 Indian or Asian Male NC077
47 Indian or Asian Female NC077
890 White Male NC077
937 White Female NC077
68 Other Male NC077
9 Other Female NC077
6147 Black African Male NC078
6074 Black African Female NC078
10581 Coloured Male NC078
10720 Coloured Female NC078
144 Indian or Asian Male NC078
105 Indian or Asian Female NC078
1394 White Male NC078
1383 White Female NC078
304 Other Male NC078
223 Other Female NC078
166 Black African Male NC081
111 Black African Female NC081
3209 Coloured Male NC081
3120 Coloured Female NC081
21 Indian or Asian Male NC081
24 Indian or Asian Female NC081
174 White Male NC081
137 White Female NC081
30 Other Male NC081
13 Other Female NC081
10922 Black African Male NC082
7734 Black African Female NC082
20132 Coloured Male NC082
20864 Coloured Female NC082
273 Indian or Asian Male NC082
252 Indian or Asian Female NC082
2034 White Male NC082
2142 White Female NC082
917 Other Male NC082
598 Other Female NC082
11127 Black African Male NC083
10463 Black African Female NC083
29462 Coloured Male NC083
31485 Coloured Female NC083
368 Indian or Asian Male NC083
255 Indian or Asian Female NC083
4340 White Male NC083
4875 White Female NC083
751 Other Male NC083
368 Other Female NC083
694 Black African Male NC084
450 Black African Female NC084
6999 Coloured Male NC084
7201 Coloured Female NC084
106 Indian or Asian Male NC084
61 Indian or Asian Female NC084
474 White Male NC084
427 White Female NC084
135 Other Male NC084
90 Other Female NC084
9939 Black African Male NC085
8589 Black African Female NC085
6564 Coloured Male NC085
6620 Coloured Female NC085
185 Indian or Asian Male NC085
39 Indian or Asian Female NC085
1506 White Male NC085
1427 White Female NC085
169 Other Male NC085
54 Other Female NC085
4809 Black African Male NC086
4507 Black African Female NC086
3598 Coloured Male NC086
3662 Coloured Female NC086
66 Indian or Asian Male NC086
59 Indian or Asian Female NC086
908 White Male NC086
925 White Female NC086
91 Other Male NC086
61 Other Female NC086
73273 Black African Male NC091
78646 Black African Female NC091
33048 Coloured Male NC091
34874 Coloured Female NC091
1608 Indian or Asian Male NC091
1340 Indian or Asian Female NC091
8913 White Male NC091
9749 White Female NC091
3370 Other Male NC091
3220 Other Female NC091
13430 Black African Male NC092
13956 Black African Female NC092
6539 Coloured Male NC092
6801 Coloured Female NC092
171 Indian or Asian Male NC092
87 Indian or Asian Female NC092
860 White Male NC092
837 White Female NC092
2062 Other Male NC092
2097 Other Female NC092
9381 Black African Male NC093
9985 Black African Female NC093
1605 Coloured Male NC093
1752 Coloured Female NC093
106 Indian or Asian Male NC093
60 Indian or Asian Female NC093
589 White Male NC093
651 White Female NC093
50 Other Male NC093
26 Other Female NC093
24891 Black African Male NC094
26676 Black African Female NC094
3341 Coloured Male NC094
3588 Coloured Female NC094
166 Indian or Asian Male NC094
65 Indian or Asian Female NC094
1866 White Male NC094
2087 White Female NC094
226 Other Male NC094
93 Other Female NC094
39536 Black African Male NC451
46805 Black African Female NC451
861 Coloured Male NC451
893 Coloured Female NC451
189 Indian or Asian Male NC451
48 Indian or Asian Female NC451
560 White Male NC451
484 White Female NC451
115 Other Male NC451
39 Other Female NC451
38863 Black African Male NC452
42621 Black African Female NC452
3520 Coloured Male NC452
3593 Coloured Female NC452
269 Indian or Asian Male NC452
96 Indian or Asian Female NC452
2054 White Male NC452
2240 White Female NC452
288 Other Male NC452
107 Other Female NC452
13022 Black African Male NC453
9872 Black African Female NC453
6098 Coloured Male NC453
5854 Coloured Female NC453
176 Indian or Asian Male NC453
81 Indian or Asian Female NC453
3043 White Male NC453
2764 White Female NC453
370 Other Male NC453
337 Other Female NC453
3272 Black African Male WC011
2432 Black African Female WC011
24773 Coloured Male WC011
25412 Coloured Female WC011
216 Indian or Asian Male WC011
181 Indian or Asian Female WC011
4837 White Male WC011
5131 White Female WC011
526 Other Male WC011
366 Other Female WC011
3560 Black African Male WC012
2748 Black African Female WC012
18578 Coloured Male WC012
19074 Coloured Female WC012
91 Indian or Asian Male WC012
80 Indian or Asian Female WC012
2634 White Male WC012
2829 White Female WC012
132 Other Male WC012
44 Other Female WC012
3235 Black African Male WC013
3766 Black African Female WC013
21486 Coloured Male WC013
22429 Coloured Female WC013
144 Indian or Asian Male WC013
112 Indian or Asian Female WC013
5004 White Male WC013
5451 White Female WC013
191 Other Male WC013
78 Other Female WC013
13012 Black African Male WC014
11279 Black African Female WC014
26606 Coloured Male WC014
28739 Coloured Female WC014
395 Indian or Asian Male WC014
377 Indian or Asian Female WC014
8746 White Male WC014
9115 White Female WC014
629 Other Male WC014
294 Other Female WC014
10802 Black African Male WC015
10004 Black African Female WC015
36151 Coloured Male WC015
37602 Coloured Female WC015
301 Indian or Asian Male WC015
284 Indian or Asian Female WC015
8682 White Male WC015
9098 White Female WC015
537 Other Male WC015
301 Other Female WC015
17088 Black African Male WC022
12212 Black African Female WC022
37155 Coloured Male WC022
39296 Coloured Female WC022
172 Indian or Asian Male WC022
100 Indian or Asian Female WC022
4550 White Male WC022
4394 White Female WC022
589 Other Male WC022
390 Other Female WC022
28940 Black African Male WC023
28023 Black African Female WC023
76459 Coloured Male WC023
80570 Coloured Female WC023
519 Indian or Asian Male WC023
479 Indian or Asian Female WC023
16182 White Male WC023
17777 White Female WC023
1426 Other Male WC023
887 Other Female WC023
22152 Black African Male WC024
21564 Black African Female WC024
38957 Coloured Male WC024
42404 Coloured Female WC024
319 Indian or Asian Male WC024
304 Indian or Asian Female WC024
13916 White Male WC024
14825 White Female WC024
831 Other Male WC024
459 Other Female WC024
20371 Black African Male WC025
20241 Black African Female WC025
50643 Coloured Male WC025
54998 Coloured Female WC025
516 Indian or Asian Male WC025
431 Indian or Asian Female WC025
8538 White Male WC025
9326 White Female WC025
998 Other Male WC025
762 Other Female WC025
8130 Black African Male WC026
7752 Black African Female WC026
33335 Coloured Male WC026
35373 Coloured Female WC026
197 Indian or Asian Male WC026
114 Indian or Asian Female WC026
5686 White Male WC026
6296 White Female WC026
543 Other Male WC026
298 Other Female WC026
2550 Black African Male WC034
1904 Black African Female WC034
12027 Coloured Male WC034
12689 Coloured Female WC034
65 Indian or Asian Male WC034
48 Indian or Asian Female WC034
3008 White Male WC034
3232 White Female WC034
241 Other Male WC034
152 Other Female WC034
16136 Black African Male WC031
12621 Black African Female WC031
33425 Coloured Male WC031
35053 Coloured Female WC031
257 Indian or Asian Male WC031
130 Indian or Asian Female WC031
4946 White Male WC031
5228 White Female WC031
700 Other Male WC031
296 Other Female WC031
15388 Black African Male WC032
13744 Black African Female WC032
12026 Coloured Male WC032
12943 Coloured Female WC032
119 Indian or Asian Male WC032
86 Indian or Asian Female WC032
11677 White Male WC032
13454 White Female WC032
576 Other Male WC032
419 Other Female WC032
2178 Black African Male WC033
1630 Black African Female WC033
10377 Coloured Male WC033
11285 Coloured Female WC033
54 Indian or Asian Male WC033
57 Indian or Asian Female WC033
3419 White Male WC033
3730 White Female WC033
201 Other Male WC033
107 Other Female WC033
595 Black African Male WC041
561 Black African Female WC041
10074 Coloured Male WC041
10888 Coloured Female WC041
37 Indian or Asian Male WC041
35 Indian or Asian Female WC041
1204 White Male WC041
1244 White Female WC041
85 Other Male WC041
43 Other Female WC041
2142 Black African Male WC042
1763 Black African Female WC042
17358 Coloured Male WC042
18711 Coloured Female WC042
100 Indian or Asian Male WC042
99 Indian or Asian Female WC042
5766 White Male WC042
6467 White Female WC042
158 Other Male WC042
76 Other Female WC042
13529 Black African Male WC043
12818 Black African Female WC043
18649 Coloured Male WC043
20243 Coloured Female WC043
249 Indian or Asian Male WC043
221 Indian or Asian Female WC043
10743 White Male WC043
12034 White Female WC043
582 Other Male WC043
364 Other Female WC043
27986 Black African Male WC044
26689 Black African Female WC044
47090 Coloured Male WC044
50542 Coloured Female WC044
490 Indian or Asian Male WC044
434 Indian or Asian Female WC044
18254 White Male WC044
19881 White Female WC044
1490 Other Male WC044
816 Other Female WC044
4424 Black African Male WC045
4316 Black African Female WC045
35233 Coloured Male WC045
38969 Coloured Female WC045
189 Indian or Asian Male WC045
127 Indian or Asian Female WC045
5620 White Male WC045
6363 White Female WC045
447 Other Male WC045
246 Other Female WC045
11338 Black African Male WC047
10901 Black African Female WC047
7478 Coloured Male WC047
7866 Coloured Female WC047
116 Indian or Asian Male WC047
133 Indian or Asian Female WC047
3960 White Male WC047
4347 White Female WC047
1576 Other Male WC047
1447 Other Female WC047
12807 Black African Male WC048
11962 Black African Female WC048
13485 Coloured Male WC048
14591 Coloured Female WC048
164 Indian or Asian Male WC048
130 Indian or Asian Female WC048
6826 White Male WC048
7606 White Female WC048
675 Other Male WC048
413 Other Female WC048
348 Black African Male WC051
230 Black African Female WC051
3177 Coloured Male WC051
3369 Coloured Female WC051
15 Indian or Asian Male WC051
4 Indian or Asian Female WC051
565 White Male WC051
538 White Female WC051
28 Other Male WC051
14 Other Female WC051
227 Black African Male WC052
138 Black African Female WC052
5418 Coloured Male WC052
5678 Coloured Female WC052
21 Indian or Asian Male WC052
18 Indian or Asian Female WC052
761 White Male WC052
794 White Female WC052
70 Other Male WC052
12 Other Female WC052
4017 Black African Male WC053
4086 Black African Female WC053
17559 Coloured Male WC053
18874 Coloured Female WC053
150 Indian or Asian Male WC053
92 Indian or Asian Female WC053
2212 White Male WC053
2328 White Female WC053
200 Other Male WC053
69 Other Female WC053
722755 Black African Male CPT
722184 Black African Female CPT
759559 Coloured Male CPT
825727 Coloured Female CPT
26155 Indian or Asian Male CPT
25631 Indian or Asian Female CPT
280133 White Male CPT
305698 White Female CPT
42097 Other Male CPT
30087 Other Female CPT
\.
--
-- Data for Name: gender_populationgroup_province; Type: TABLE DATA; Schema: public; Owner: census
--
COPY gender_populationgroup_province (total, "population group", gender, province_code) FROM stdin;
2649144 Black African Male EC
3011086 Black African Female EC
260768 Coloured Male EC
281082 Coloured Female EC
15233 Indian or Asian Male EC
12695 Indian or Asian Female EC
150157 White Male EC
160293 White Female EC
14399 Other Male EC
7196 Other Female EC
1160853 Black African Male FS
1244680 Black African Female FS
41155 Coloured Male FS
42689 Coloured Female FS
6930 Indian or Asian Male FS
3468 Indian or Asian Female FS
115275 White Male FS
123751 White Female FS
4754 Other Male FS
2035 Other Female FS
4823966 Black African Male GT
4669718 Black African Female GT
203820 Coloured Male GT
219774 Coloured Female GT
180916 Indian or Asian Male GT
175658 Indian or Asian Female GT
930989 White Male GT
982895 White Female GT
50184 Other Male GT
34343 Other Female GT
4220405 Black African Male KZN
4692516 Black African Female KZN
67390 Coloured Male KZN
73986 Coloured Female KZN
366964 Indian or Asian Male KZN
390027 Indian or Asian Female KZN
207940 White Male KZN
220902 White Female KZN
15978 Other Male KZN
11193 Other Female KZN
2429273 Black African Male LIM
2795481 Black African Female LIM
7523 Coloured Male LIM
6892 Coloured Female LIM
10822 Indian or Asian Male LIM
7059 Indian or Asian Female LIM
70534 White Male LIM
68825 White Female LIM
5984 Other Male LIM
2476 Other Female LIM
1781368 Black African Male MP
1880850 Black African Female MP
18149 Coloured Male MP
18462 Coloured Female MP
16165 Indian or Asian Male MP
11753 Indian or Asian Female MP
151557 White Male MP
152038 White Female MP
6817 Other Male MP
2780 Other Female MP
1596998 Black African Male NW
1555066 Black African Female NW
35435 Coloured Male NW
35974 Coloured Female NW
12714 Indian or Asian Male NW
7938 Indian or Asian Female NW
127628 White Male NW
127757 White Female NW
7129 Other Male NW
3315 Other Female NW
283730 Black African Male NC
293256 Black African Female NC
226791 Coloured Male NC
235107 Coloured Female NC
4667 Indian or Asian Male NC
3160 Indian or Asian Female NC
39735 White Male NC
41511 White Female NC
10048 Other Male NC
7855 Other Female NC
966980 Black African Male WC
945567 Black African Female WC
1367076 Coloured Male WC
1473328 Coloured Female WC
31052 Indian or Asian Male WC
29709 Indian or Asian Female WC
437869 White Male WC
477184 White Female WC
55529 Other Male WC
38440 Other Female WC
\.
--
-- Data for Name: gender_populationgroup_ward; Type: TABLE DATA; Schema: public; Owner: census
--
COPY gender_populationgroup_ward (total, "population group", gender, ward_code) FROM stdin;
740 Black African Male 21001001
774 Black African Female 21001001
3095 Coloured Male 21001001
3343 Coloured Female 21001001
24 Indian or Asian Male 21001001
9 Indian or Asian Female 21001001
358 White Male 21001001
372 White Female 21001001
27 Other Male 21001001
4 Other Female 21001001
1641 Black African Male 21001002
1780 Black African Female 21001002
699 Coloured Male 21001002
694 Coloured Female 21001002
16 Indian or Asian Male 21001002
5 Indian or Asian Female 21001002
1159 White Male 21001002
1197 White Female 21001002
49 Other Male 21001002
19 Other Female 21001002
221 Black African Male 21001003
250 Black African Female 21001003
2555 Coloured Male 21001003
2860 Coloured Female 21001003
7 Indian or Asian Male 21001003
2 Indian or Asian Female 21001003
0 White Male 21001003
3 White Female 21001003
13 Other Male 21001003
7 Other Female 21001003
567 Black African Male 21001004
485 Black African Female 21001004
4179 Coloured Male 21001004
4382 Coloured Female 21001004
50 Indian or Asian Male 21001004
22 Indian or Asian Female 21001004
277 White Male 21001004
286 White Female 21001004
22 Other Male 21001004
11 Other Female 21001004
111 Black African Male 21001005
91 Black African Female 21001005
2669 Coloured Male 21001005
3088 Coloured Female 21001005
28 Indian or Asian Male 21001005
14 Indian or Asian Female 21001005
0 White Male 21001005
0 White Female 21001005
8 Other Male 21001005
9 Other Female 21001005
2366 Black African Male 21001006
2669 Black African Female 21001006
665 Coloured Male 21001006
720 Coloured Female 21001006
20 Indian or Asian Male 21001006
4 Indian or Asian Female 21001006
0 White Male 21001006
2 White Female 21001006
8 Other Male 21001006
4 Other Female 21001006
489 Black African Male 21001007
454 Black African Female 21001007
2140 Coloured Male 21001007
1965 Coloured Female 21001007
12 Indian or Asian Male 21001007
11 Indian or Asian Female 21001007
605 White Male 21001007
618 White Female 21001007
16 Other Male 21001007
3 Other Female 21001007
1649 Black African Male 21002001
1629 Black African Female 21002001
556 Coloured Male 21002001
588 Coloured Female 21002001
8 Indian or Asian Male 21002001
2 Indian or Asian Female 21002001
156 White Male 21002001
133 White Female 21002001
21 Other Male 21002001
7 Other Female 21002001
1551 Black African Male 21002002
1618 Black African Female 21002002
1161 Coloured Male 21002002
1209 Coloured Female 21002002
26 Indian or Asian Male 21002002
11 Indian or Asian Female 21002002
515 White Male 21002002
613 White Female 21002002
36 Other Male 21002002
8 Other Female 21002002
3071 Black African Male 21002003
3422 Black African Female 21002003
171 Coloured Male 21002003
207 Coloured Female 21002003
17 Indian or Asian Male 21002003
2 Indian or Asian Female 21002003
35 White Male 21002003
33 White Female 21002003
18 Other Male 21002003
3 Other Female 21002003
1100 Black African Male 21002004
1111 Black African Female 21002004
1641 Coloured Male 21002004
1724 Coloured Female 21002004
16 Indian or Asian Male 21002004
10 Indian or Asian Female 21002004
153 White Male 21002004
134 White Female 21002004
28 Other Male 21002004
16 Other Female 21002004
853 Black African Male 21002005
961 Black African Female 21002005
1559 Coloured Male 21002005
1828 Coloured Female 21002005
9 Indian or Asian Male 21002005
6 Indian or Asian Female 21002005
107 White Male 21002005
95 White Female 21002005
19 Other Male 21002005
9 Other Female 21002005
2217 Black African Male 21002006
2067 Black African Female 21002006
643 Coloured Male 21002006
603 Coloured Female 21002006
7 Indian or Asian Male 21002006
3 Indian or Asian Female 21002006
270 White Male 21002006
209 White Female 21002006
70 Other Male 21002006
61 Other Female 21002006
281 Black African Male 21003001
243 Black African Female 21003001
678 Coloured Male 21003001
731 Coloured Female 21003001
2 Indian or Asian Male 21003001
2 Indian or Asian Female 21003001
235 White Male 21003001
288 White Female 21003001
4 Other Male 21003001
3 Other Female 21003001
1010 Black African Male 21003002
1060 Black African Female 21003002
867 Coloured Male 21003002
1046 Coloured Female 21003002
2 Indian or Asian Male 21003002
3 Indian or Asian Female 21003002
19 White Male 21003002
17 White Female 21003002
16 Other Male 21003002
2 Other Female 21003002
317 Black African Male 21003003
336 Black African Female 21003003
431 Coloured Male 21003003
422 Coloured Female 21003003
6 Indian or Asian Male 21003003
3 Indian or Asian Female 21003003
25 White Male 21003003
18 White Female 21003003
8 Other Male 21003003
0 Other Female 21003003
314 Black African Male 21003004
355 Black African Female 21003004
738 Coloured Male 21003004
845 Coloured Female 21003004
0 Indian or Asian Male 21003004
2 Indian or Asian Female 21003004
91 White Male 21003004
102 White Female 21003004
11 Other Male 21003004
3 Other Female 21003004
1109 Black African Male 21004001
1102 Black African Female 21004001
203 Coloured Male 21004001
220 Coloured Female 21004001
2 Indian or Asian Male 21004001
1 Indian or Asian Female 21004001
165 White Male 21004001
149 White Female 21004001
2 Other Male 21004001
1 Other Female 21004001
3270 Black African Male 21004002
3764 Black African Female 21004002
6 Coloured Male 21004002
8 Coloured Female 21004002
6 Indian or Asian Male 21004002
4 Indian or Asian Female 21004002
11 White Male 21004002
11 White Female 21004002
15 Other Male 21004002
2 Other Female 21004002
1082 Black African Male 21004003
1183 Black African Female 21004003
1634 Coloured Male 21004003
1715 Coloured Female 21004003
28 Indian or Asian Male 21004003
25 Indian or Asian Female 21004003
352 White Male 21004003
387 White Female 21004003
37 Other Male 21004003
22 Other Female 21004003
1553 Black African Male 21004004
1250 Black African Female 21004004
1496 Coloured Male 21004004
1695 Coloured Female 21004004
101 Indian or Asian Male 21004004
97 Indian or Asian Female 21004004
1062 White Male 21004004
1117 White Female 21004004
53 Other Male 21004004
43 Other Female 21004004
3606 Black African Male 21004005
4230 Black African Female 21004005
201 Coloured Male 21004005
234 Coloured Female 21004005
7 Indian or Asian Male 21004005
2 Indian or Asian Female 21004005
1 White Male 21004005
0 White Female 21004005
33 Other Male 21004005
6 Other Female 21004005
2093 Black African Male 21004006
2576 Black African Female 21004006
10 Coloured Male 21004006
10 Coloured Female 21004006
8 Indian or Asian Male 21004006
0 Indian or Asian Female 21004006
2 White Male 21004006
1 White Female 21004006
4 Other Male 21004006
3 Other Female 21004006
1376 Black African Male 21004007
1504 Black African Female 21004007
19 Coloured Male 21004007
15 Coloured Female 21004007
3 Indian or Asian Male 21004007
0 Indian or Asian Female 21004007
1 White Male 21004007
0 White Female 21004007
19 Other Male 21004007
1 Other Female 21004007
1102 Black African Male 21004008
1357 Black African Female 21004008
146 Coloured Male 21004008
181 Coloured Female 21004008
28 Indian or Asian Male 21004008
42 Indian or Asian Female 21004008
791 White Male 21004008
851 White Female 21004008
48 Other Male 21004008
40 Other Female 21004008
2319 Black African Male 21004009
2611 Black African Female 21004009
7 Coloured Male 21004009
10 Coloured Female 21004009
2 Indian or Asian Male 21004009
1 Indian or Asian Female 21004009
16 White Male 21004009
14 White Female 21004009
21 Other Male 21004009
9 Other Female 21004009
3077 Black African Male 21004010
3550 Black African Female 21004010
25 Coloured Male 21004010
19 Coloured Female 21004010
6 Indian or Asian Male 21004010
1 Indian or Asian Female 21004010
22 White Male 21004010
23 White Female 21004010
27 Other Male 21004010
2 Other Female 21004010
3170 Black African Male 21004011
3698 Black African Female 21004011
3 Coloured Male 21004011
9 Coloured Female 21004011
7 Indian or Asian Male 21004011
4 Indian or Asian Female 21004011
2 White Male 21004011
0 White Female 21004011
18 Other Male 21004011
3 Other Female 21004011
619 Black African Male 21004012
1038 Black African Female 21004012
66 Coloured Male 21004012
84 Coloured Female 21004012
40 Indian or Asian Male 21004012
76 Indian or Asian Female 21004012
449 White Male 21004012
548 White Female 21004012
5 Other Male 21004012
3 Other Female 21004012
2887 Black African Male 21004013
3002 Black African Female 21004013
36 Coloured Male 21004013
31 Coloured Female 21004013
2 Indian or Asian Male 21004013
1 Indian or Asian Female 21004013
279 White Male 21004013
237 White Female 21004013
14 Other Male 21004013
5 Other Female 21004013
2287 Black African Male 21004014
2287 Black African Female 21004014
776 Coloured Male 21004014
866 Coloured Female 21004014
22 Indian or Asian Male 21004014
7 Indian or Asian Female 21004014
268 White Male 21004014
215 White Female 21004014
18 Other Male 21004014
7 Other Female 21004014
2672 Black African Male 21005001
2982 Black African Female 21005001
1 Coloured Male 21005001
4 Coloured Female 21005001
8 Indian or Asian Male 21005001
1 Indian or Asian Female 21005001
1 White Male 21005001
1 White Female 21005001
30 Other Male 21005001
11 Other Female 21005001
1896 Black African Male 21005002
2058 Black African Female 21005002
780 Coloured Male 21005002
908 Coloured Female 21005002
11 Indian or Asian Male 21005002
13 Indian or Asian Female 21005002
601 White Male 21005002
633 White Female 21005002
33 Other Male 21005002
16 Other Female 21005002
2370 Black African Male 21005003
2586 Black African Female 21005003
411 Coloured Male 21005003
428 Coloured Female 21005003
9 Indian or Asian Male 21005003
2 Indian or Asian Female 21005003
313 White Male 21005003
333 White Female 21005003
27 Other Male 21005003
9 Other Female 21005003
1937 Black African Male 21005004
2214 Black African Female 21005004
39 Coloured Male 21005004
30 Coloured Female 21005004
7 Indian or Asian Male 21005004
3 Indian or Asian Female 21005004
413 White Male 21005004
519 White Female 21005004
30 Other Male 21005004
1 Other Female 21005004
2609 Black African Male 21005005
3082 Black African Female 21005005
43 Coloured Male 21005005
56 Coloured Female 21005005
7 Indian or Asian Male 21005005
3 Indian or Asian Female 21005005
238 White Male 21005005
255 White Female 21005005
20 Other Male 21005005
4 Other Female 21005005
2976 Black African Male 21005006
3324 Black African Female 21005006
749 Coloured Male 21005006
795 Coloured Female 21005006
20 Indian or Asian Male 21005006
5 Indian or Asian Female 21005006
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5609 Coloured Female 19100055
610 Indian or Asian Male 19100055
616 Indian or Asian Female 19100055
6458 White Male 19100055
6832 White Female 19100055
881 Other Male 19100055
586 Other Female 19100055
3003 Black African Male 19100056
2550 Black African Female 19100056
12531 Coloured Male 19100056
13849 Coloured Female 19100056
313 Indian or Asian Male 19100056
307 Indian or Asian Female 19100056
213 White Male 19100056
192 White Female 19100056
515 Other Male 19100056
324 Other Female 19100056
6226 Black African Male 19100057
5356 Black African Female 19100057
4447 Coloured Male 19100057
5103 Coloured Female 19100057
719 Indian or Asian Male 19100057
661 Indian or Asian Female 19100057
4385 White Male 19100057
4489 White Female 19100057
863 Other Male 19100057
828 Other Female 19100057
2784 Black African Male 19100058
2707 Black African Female 19100058
1734 Coloured Male 19100058
2099 Coloured Female 19100058
687 Indian or Asian Male 19100058
686 Indian or Asian Female 19100058
8053 White Male 19100058
8671 White Female 19100058
589 Other Male 19100058
613 Other Female 19100058
2285 Black African Male 19100059
2419 Black African Female 19100059
918 Coloured Male 19100059
1243 Coloured Female 19100059
599 Indian or Asian Male 19100059
700 Indian or Asian Female 19100059
6800 White Male 19100059
7908 White Female 19100059
429 Other Male 19100059
432 Other Female 19100059
1420 Black African Male 19100060
1414 Black African Female 19100060
9444 Coloured Male 19100060
10696 Coloured Female 19100060
2058 Indian or Asian Male 19100060
1918 Indian or Asian Female 19100060
1118 White Male 19100060
1186 White Female 19100060
1214 Other Male 19100060
1211 Other Female 19100060
4466 Black African Male 19100061
2127 Black African Female 19100061
8831 Coloured Male 19100061
7429 Coloured Female 19100061
254 Indian or Asian Male 19100061
198 Indian or Asian Female 19100061
3944 White Male 19100061
4221 White Female 19100061
233 Other Male 19100061
180 Other Female 19100061
1985 Black African Male 19100062
2137 Black African Female 19100062
1602 Coloured Male 19100062
2109 Coloured Female 19100062
347 Indian or Asian Male 19100062
333 Indian or Asian Female 19100062
7400 White Male 19100062
8245 White Female 19100062
337 Other Male 19100062
338 Other Female 19100062
1488 Black African Male 19100063
1400 Black African Female 19100063
9038 Coloured Male 19100063
10150 Coloured Female 19100063
545 Indian or Asian Male 19100063
550 Indian or Asian Female 19100063
1323 White Male 19100063
1383 White Female 19100063
942 Other Male 19100063
1053 Other Female 19100063
1864 Black African Male 19100064
1793 Black African Female 19100064
2135 Coloured Male 19100064
2376 Coloured Female 19100064
245 Indian or Asian Male 19100064
231 Indian or Asian Female 19100064
6936 White Male 19100064
7881 White Female 19100064
526 Other Male 19100064
501 Other Female 19100064
772 Black African Male 19100065
773 Black African Female 19100065
12147 Coloured Male 19100065
13221 Coloured Female 19100065
135 Indian or Asian Male 19100065
133 Indian or Asian Female 19100065
41 White Male 19100065
41 White Female 19100065
436 Other Male 19100065
419 Other Female 19100065
393 Black African Male 19100066
363 Black African Female 19100066
12810 Coloured Male 19100066
13876 Coloured Female 19100066
121 Indian or Asian Male 19100066
143 Indian or Asian Female 19100066
83 White Male 19100066
78 White Female 19100066
515 Other Male 19100066
465 Other Female 19100066
7967 Black African Male 19100067
6436 Black African Female 19100067
14569 Coloured Male 19100067
15301 Coloured Female 19100067
1080 Indian or Asian Male 19100067
975 Indian or Asian Female 19100067
178 White Male 19100067
160 White Female 19100067
1210 Other Male 19100067
736 Other Female 19100067
611 Black African Male 19100068
669 Black African Female 19100068
14211 Coloured Male 19100068
15747 Coloured Female 19100068
73 Indian or Asian Male 19100068
101 Indian or Asian Female 19100068
43 White Male 19100068
31 White Female 19100068
183 Other Male 19100068
164 Other Female 19100068
11171 Black African Male 19100069
10575 Black African Female 19100069
474 Coloured Male 19100069
566 Coloured Female 19100069
82 Indian or Asian Male 19100069
84 Indian or Asian Female 19100069
6015 White Male 19100069
6375 White Female 19100069
1170 Other Male 19100069
657 Other Female 19100069
801 Black African Male 19100070
922 Black African Female 19100070
970 Coloured Male 19100070
1353 Coloured Female 19100070
278 Indian or Asian Male 19100070
275 Indian or Asian Female 19100070
9675 White Male 19100070
10218 White Female 19100070
225 Other Male 19100070
217 Other Female 19100070
3095 Black African Male 19100071
2591 Black African Female 19100071
2595 Coloured Male 19100071
2238 Coloured Female 19100071
157 Indian or Asian Male 19100071
168 Indian or Asian Female 19100071
7727 White Male 19100071
8800 White Female 19100071
291 Other Male 19100071
282 Other Female 19100071
1299 Black African Male 19100072
1146 Black African Female 19100072
9519 Coloured Male 19100072
10416 Coloured Female 19100072
164 Indian or Asian Male 19100072
184 Indian or Asian Female 19100072
829 White Male 19100072
811 White Female 19100072
411 Other Male 19100072
410 Other Female 19100072
1007 Black African Male 19100073
1136 Black African Female 19100073
2647 Coloured Male 19100073
3188 Coloured Female 19100073
231 Indian or Asian Male 19100073
228 Indian or Asian Female 19100073
6933 White Male 19100073
8119 White Female 19100073
388 Other Male 19100073
410 Other Female 19100073
8525 Black African Male 19100074
7312 Black African Female 19100074
3021 Coloured Male 19100074
3456 Coloured Female 19100074
117 Indian or Asian Male 19100074
120 Indian or Asian Female 19100074
6361 White Male 19100074
6680 White Female 19100074
779 Other Male 19100074
450 Other Female 19100074
5671 Black African Male 19100075
6023 Black African Female 19100075
12198 Coloured Male 19100075
13099 Coloured Female 19100075
116 Indian or Asian Male 19100075
109 Indian or Asian Female 19100075
47 White Male 19100075
30 White Female 19100075
241 Other Male 19100075
164 Other Female 19100075
4268 Black African Male 19100076
4543 Black African Female 19100076
15312 Coloured Male 19100076
16229 Coloured Female 19100076
88 Indian or Asian Male 19100076
95 Indian or Asian Female 19100076
76 White Male 19100076
65 White Female 19100076
201 Other Male 19100076
88 Other Female 19100076
3389 Black African Male 19100077
3524 Black African Female 19100077
1919 Coloured Male 19100077
2307 Coloured Female 19100077
377 Indian or Asian Male 19100077
335 Indian or Asian Female 19100077
7074 White Male 19100077
7823 White Female 19100077
764 Other Male 19100077
740 Other Female 19100077
987 Black African Male 19100078
1073 Black African Female 19100078
17937 Coloured Male 19100078
18865 Coloured Female 19100078
215 Indian or Asian Male 19100078
187 Indian or Asian Female 19100078
47 White Male 19100078
48 White Female 19100078
379 Other Male 19100078
333 Other Female 19100078
747 Black African Male 19100079
695 Black African Female 19100079
16106 Coloured Male 19100079
17229 Coloured Female 19100079
72 Indian or Asian Male 19100079
51 Indian or Asian Female 19100079
20 White Male 19100079
22 White Female 19100079
301 Other Male 19100079
168 Other Female 19100079
18581 Black African Male 19100080
18247 Black African Female 19100080
3993 Coloured Male 19100080
4006 Coloured Female 19100080
153 Indian or Asian Male 19100080
174 Indian or Asian Female 19100080
254 White Male 19100080
215 White Female 19100080
311 Other Male 19100080
218 Other Female 19100080
398 Black African Male 19100081
420 Black African Female 19100081
15008 Coloured Male 19100081
15990 Coloured Female 19100081
72 Indian or Asian Male 19100081
63 Indian or Asian Female 19100081
16 White Male 19100081
7 White Female 19100081
132 Other Male 19100081
58 Other Female 19100081
616 Black African Male 19100082
552 Black African Female 19100082
19126 Coloured Male 19100082
20617 Coloured Female 19100082
90 Indian or Asian Male 19100082
52 Indian or Asian Female 19100082
22 White Male 19100082
32 White Female 19100082
201 Other Male 19100082
74 Other Female 19100082
6576 Black African Male 19100083
5629 Black African Female 19100083
435 Coloured Male 19100083
562 Coloured Female 19100083
39 Indian or Asian Male 19100083
37 Indian or Asian Female 19100083
5032 White Male 19100083
5705 White Female 19100083
515 Other Male 19100083
312 Other Female 19100083
1416 Black African Male 19100084
1535 Black African Female 19100084
2185 Coloured Male 19100084
2300 Coloured Female 19100084
97 Indian or Asian Male 19100084
109 Indian or Asian Female 19100084
7984 White Male 19100084
9288 White Female 19100084
200 Other Male 19100084
180 Other Female 19100084
12049 Black African Male 19100085
11082 Black African Female 19100085
1147 Coloured Male 19100085
1404 Coloured Female 19100085
87 Indian or Asian Male 19100085
74 Indian or Asian Female 19100085
3018 White Male 19100085
3659 White Female 19100085
514 Other Male 19100085
335 Other Female 19100085
13591 Black African Male 19100086
12558 Black African Female 19100086
5428 Coloured Male 19100086
5949 Coloured Female 19100086
140 Indian or Asian Male 19100086
103 Indian or Asian Female 19100086
394 White Male 19100086
425 White Female 19100086
376 Other Male 19100086
213 Other Female 19100086
14886 Black African Male 19100087
14502 Black African Female 19100087
51 Coloured Male 19100087
66 Coloured Female 19100087
16 Indian or Asian Male 19100087
6 Indian or Asian Female 19100087
6 White Male 19100087
16 White Female 19100087
90 Other Male 19100087
12 Other Female 19100087
11735 Black African Male 19100088
11311 Black African Female 19100088
8336 Coloured Male 19100088
8727 Coloured Female 19100088
107 Indian or Asian Male 19100088
88 Indian or Asian Female 19100088
46 White Male 19100088
35 White Female 19100088
342 Other Male 19100088
186 Other Female 19100088
13810 Black African Male 19100089
13600 Black African Female 19100089
27 Coloured Male 19100089
37 Coloured Female 19100089
28 Indian or Asian Male 19100089
4 Indian or Asian Female 19100089
6 White Male 19100089
6 White Female 19100089
90 Other Male 19100089
31 Other Female 19100089
13918 Black African Male 19100090
14357 Black African Female 19100090
38 Coloured Male 19100090
64 Coloured Female 19100090
15 Indian or Asian Male 19100090
6 Indian or Asian Female 19100090
16 White Male 19100090
13 White Female 19100090
133 Other Male 19100090
15 Other Female 19100090
14651 Black African Male 19100091
15773 Black African Female 19100091
45 Coloured Male 19100091
52 Coloured Female 19100091
5 Indian or Asian Male 19100091
2 Indian or Asian Female 19100091
17 White Male 19100091
7 White Female 19100091
123 Other Male 19100091
17 Other Female 19100091
16114 Black African Male 19100092
17951 Black African Female 19100092
120 Coloured Male 19100092
122 Coloured Female 19100092
22 Indian or Asian Male 19100092
25 Indian or Asian Female 19100092
23 White Male 19100092
26 White Female 19100092
178 Other Male 19100092
119 Other Female 19100092
15115 Black African Male 19100093
15831 Black African Female 19100093
42 Coloured Male 19100093
54 Coloured Female 19100093
5 Indian or Asian Male 19100093
13 Indian or Asian Female 19100093
12 White Male 19100093
11 White Female 19100093
101 Other Male 19100093
34 Other Female 19100093
11471 Black African Male 19100094
13064 Black African Female 19100094
97 Coloured Male 19100094
148 Coloured Female 19100094
7 Indian or Asian Male 19100094
4 Indian or Asian Female 19100094
1 White Male 19100094
4 White Female 19100094
121 Other Male 19100094
51 Other Female 19100094
28486 Black African Male 19100095
29619 Black African Female 19100095
91 Coloured Male 19100095
143 Coloured Female 19100095
23 Indian or Asian Male 19100095
12 Indian or Asian Female 19100095
28 White Male 19100095
27 White Female 19100095
340 Other Male 19100095
71 Other Female 19100095
12731 Black African Male 19100096
13273 Black African Female 19100096
218 Coloured Male 19100096
253 Coloured Female 19100096
7 Indian or Asian Male 19100096
11 Indian or Asian Female 19100096
12 White Male 19100096
11 White Female 19100096
218 Other Male 19100096
101 Other Female 19100096
13173 Black African Male 19100097
14861 Black African Female 19100097
118 Coloured Male 19100097
142 Coloured Female 19100097
16 Indian or Asian Male 19100097
8 Indian or Asian Female 19100097
11 White Male 19100097
7 White Female 19100097
135 Other Male 19100097
58 Other Female 19100097
13898 Black African Male 19100098
14652 Black African Female 19100098
53 Coloured Male 19100098
41 Coloured Female 19100098
1 Indian or Asian Male 19100098
2 Indian or Asian Female 19100098
19 White Male 19100098
21 White Female 19100098
203 Other Male 19100098
80 Other Female 19100098
7830 Black African Male 19100099
7501 Black African Female 19100099
17708 Coloured Male 19100099
18567 Coloured Female 19100099
90 Indian or Asian Male 19100099
79 Indian or Asian Female 19100099
21 White Male 19100099
12 White Female 19100099
302 Other Male 19100099
101 Other Female 19100099
3079 Black African Male 19100100
2585 Black African Female 19100100
11901 Coloured Male 19100100
12877 Coloured Female 19100100
209 Indian or Asian Male 19100100
221 Indian or Asian Female 19100100
6073 White Male 19100100
6582 White Female 19100100
439 Other Male 19100100
340 Other Female 19100100
16469 Black African Male 19100101
16050 Black African Female 19100101
1771 Coloured Male 19100101
2062 Coloured Female 19100101
16 Indian or Asian Male 19100101
12 Indian or Asian Female 19100101
61 White Male 19100101
35 White Female 19100101
427 Other Male 19100101
182 Other Female 19100101
1385 Black African Male 19100102
1555 Black African Female 19100102
1713 Coloured Male 19100102
1869 Coloured Female 19100102
142 Indian or Asian Male 19100102
140 Indian or Asian Female 19100102
9653 White Male 19100102
10175 White Female 19100102
225 Other Male 19100102
184 Other Female 19100102
974 Black African Male 19100103
1093 Black African Female 19100103
2683 Coloured Male 19100103
3081 Coloured Female 19100103
169 Indian or Asian Male 19100103
182 Indian or Asian Female 19100103
15885 White Male 19100103
16776 White Female 19100103
238 Other Male 19100103
227 Other Female 19100103
17463 Black African Male 19100104
15871 Black African Female 19100104
781 Coloured Male 19100104
952 Coloured Female 19100104
18 Indian or Asian Male 19100104
17 Indian or Asian Female 19100104
197 White Male 19100104
216 White Female 19100104
982 Other Male 19100104
477 Other Female 19100104
5205 Black African Male 19100105
4817 Black African Female 19100105
5986 Coloured Male 19100105
6572 Coloured Female 19100105
179 Indian or Asian Male 19100105
221 Indian or Asian Female 19100105
7844 White Male 19100105
8356 White Female 19100105
229 Other Male 19100105
163 Other Female 19100105
20464 Black African Male 19100106
21573 Black African Female 19100106
9928 Coloured Male 19100106
10822 Coloured Female 19100106
98 Indian or Asian Male 19100106
86 Indian or Asian Female 19100106
49 White Male 19100106
34 White Female 19100106
962 Other Male 19100106
496 Other Female 19100106
5487 Black African Male 19100107
5678 Black African Female 19100107
1583 Coloured Male 19100107
1840 Coloured Female 19100107
637 Indian or Asian Male 19100107
618 Indian or Asian Female 19100107
12940 White Male 19100107
13871 White Female 19100107
338 Other Male 19100107
306 Other Female 19100107
26093 Black African Male 19100108
25047 Black African Female 19100108
908 Coloured Male 19100108
1033 Coloured Female 19100108
30 Indian or Asian Male 19100108
19 Indian or Asian Female 19100108
14 White Male 19100108
14 White Female 19100108
297 Other Male 19100108
83 Other Female 19100108
4929 Black African Male 19100109
5090 Black African Female 19100109
14177 Coloured Male 19100109
15163 Coloured Female 19100109
77 Indian or Asian Male 19100109
78 Indian or Asian Female 19100109
204 White Male 19100109
216 White Female 19100109
254 Other Male 19100109
143 Other Female 19100109
785 Black African Male 19100110
837 Black African Female 19100110
12071 Coloured Male 19100110
13254 Coloured Female 19100110
184 Indian or Asian Male 19100110
178 Indian or Asian Female 19100110
61 White Male 19100110
48 White Female 19100110
214 Other Male 19100110
162 Other Female 19100110
8441 Black African Male 19100111
7855 Black African Female 19100111
8202 Coloured Male 19100111
8829 Coloured Female 19100111
73 Indian or Asian Male 19100111
70 Indian or Asian Female 19100111
1460 White Male 19100111
1486 White Female 19100111
665 Other Male 19100111
413 Other Female 19100111
\.
--
-- Name: gender_populationgroup_country_pkey; Type: CONSTRAINT; Schema: public; Owner: census; Tablespace:
--
ALTER TABLE ONLY gender_populationgroup_country
ADD CONSTRAINT gender_populationgroup_country_pkey PRIMARY KEY ("population group", gender);
--
-- Name: gender_populationgroup_district_pkey; Type: CONSTRAINT; Schema: public; Owner: census; Tablespace:
--
ALTER TABLE ONLY gender_populationgroup_district
ADD CONSTRAINT gender_populationgroup_district_pkey PRIMARY KEY ("population group", gender, district_code);
--
-- Name: gender_populationgroup_municipality_pkey; Type: CONSTRAINT; Schema: public; Owner: census; Tablespace:
--
ALTER TABLE ONLY gender_populationgroup_municipality
ADD CONSTRAINT gender_populationgroup_municipality_pkey PRIMARY KEY ("population group", gender, municipality_code);
--
-- Name: gender_populationgroup_province_pkey; Type: CONSTRAINT; Schema: public; Owner: census; Tablespace:
--
ALTER TABLE ONLY gender_populationgroup_province
ADD CONSTRAINT gender_populationgroup_province_pkey PRIMARY KEY ("population group", gender, province_code);
--
-- Name: gender_populationgroup_ward_pkey; Type: CONSTRAINT; Schema: public; Owner: census; Tablespace:
--
ALTER TABLE ONLY gender_populationgroup_ward
ADD CONSTRAINT gender_populationgroup_ward_pkey PRIMARY KEY ("population group", gender, ward_code);
--
-- Name: gender_populationgroup_district_district_code_fkey; Type: FK CONSTRAINT; Schema: public; Owner: census
--
ALTER TABLE ONLY gender_populationgroup_district
ADD CONSTRAINT gender_populationgroup_district_district_code_fkey FOREIGN KEY (district_code) REFERENCES district(code);
--
-- Name: gender_populationgroup_municipality_municipality_code_fkey; Type: FK CONSTRAINT; Schema: public; Owner: census
--
ALTER TABLE ONLY gender_populationgroup_municipality
ADD CONSTRAINT gender_populationgroup_municipality_municipality_code_fkey FOREIGN KEY (municipality_code) REFERENCES municipality(code);
--
-- Name: gender_populationgroup_province_province_code_fkey; Type: FK CONSTRAINT; Schema: public; Owner: census
--
ALTER TABLE ONLY gender_populationgroup_province
ADD CONSTRAINT gender_populationgroup_province_province_code_fkey FOREIGN KEY (province_code) REFERENCES province(code);
--
-- Name: gender_populationgroup_ward_ward_code_fkey; Type: FK CONSTRAINT; Schema: public; Owner: census
--
ALTER TABLE ONLY gender_populationgroup_ward
ADD CONSTRAINT gender_populationgroup_ward_ward_code_fkey FOREIGN KEY (ward_code) REFERENCES ward(code);
--
-- PostgreSQL database dump complete
--
|
# This is a fix for InnoDB in MySQL >= 4.1.x
# It "suspends judgement" for fkey relationships until are tables are set.
SET FOREIGN_KEY_CHECKS = 0;
#-----------------------------------------------------------------------------
#-- campus_building
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `campus_building`;
CREATE TABLE `campus_building`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`name` VARCHAR(255),
`address` VARCHAR(128),
`latitude` VARCHAR(32),
`longitude` VARCHAR(32),
PRIMARY KEY (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- project
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `project`;
CREATE TABLE `project`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`name` VARCHAR(45),
`status_id` INTEGER,
`slug` VARCHAR(255),
PRIMARY KEY (`id`),
INDEX `FI_project_status` (`status_id`),
CONSTRAINT `fk_project_status`
FOREIGN KEY (`status_id`)
REFERENCES `status` (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- sf_guard_user_profile
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `sf_guard_user_profile`;
CREATE TABLE `sf_guard_user_profile`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`user_type_id` INTEGER,
`user_id` INTEGER,
`email` VARCHAR(255),
`first_name` VARCHAR(255),
`last_name` VARCHAR(255),
PRIMARY KEY (`id`),
INDEX `I_referenced_job_attachment_user_id_1` (`user_id`),
INDEX `I_referenced_fk_log_sf_guard_user_profile_2` (`user_id`),
INDEX `FI_sf_guard_user_profile_user_type` (`user_type_id`),
CONSTRAINT `fk_sf_guard_user_profile_user_type`
FOREIGN KEY (`user_type_id`)
REFERENCES `user_type` (`id`),
INDEX `FI_sf_gaurd_user_profile_user_id` (`user_id`),
CONSTRAINT `fk_sf_gaurd_user_profile_user_id`
FOREIGN KEY (`user_id`)
REFERENCES `sf_guard_user` (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- job_notes
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `job_notes`;
CREATE TABLE `job_notes`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`job_id` INTEGER,
`revision` INTEGER,
`created_at` DATETIME,
`notes` TEXT,
`user_id` INTEGER,
PRIMARY KEY (`id`),
INDEX `FI__notes_user_id` (`user_id`),
CONSTRAINT `job_notes_user_id`
FOREIGN KEY (`user_id`)
REFERENCES `sf_guard_user_profile` (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- job_attachment
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `job_attachment`;
CREATE TABLE `job_attachment`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`job_id` INTEGER,
`user_id` INTEGER,
`file_name` VARCHAR(255),
`original_file_name` VARCHAR(255),
PRIMARY KEY (`id`),
INDEX `FI__attachment_user_id` (`user_id`),
CONSTRAINT `job_attachment_user_id`
FOREIGN KEY (`user_id`)
REFERENCES `sf_guard_user_profile` (`user_id`),
INDEX `FI__attachment_job_id` (`job_id`),
CONSTRAINT `job_attachment_job_id`
FOREIGN KEY (`job_id`)
REFERENCES `job` (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- photo_type
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `photo_type`;
CREATE TABLE `photo_type`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`name` VARCHAR(64),
PRIMARY KEY (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- job
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `job`;
CREATE TABLE `job`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`project_id` INTEGER,
`publication_id` INTEGER,
`status_id` INTEGER,
`event` VARCHAR(64),
`date` DATE,
`start_time` TIME,
`end_time` TIME,
`due_date` DATETIME,
`created_at` DATETIME,
`street` VARCHAR(64),
`city` VARCHAR(64),
`state` VARCHAR(64),
`zip` VARCHAR(8),
`contact_name` VARCHAR(45),
`contact_email` VARCHAR(64),
`contact_phone` VARCHAR(45),
`notes` TEXT,
`estimate` INTEGER,
`acct_num` VARCHAR(32),
`dept_id` VARCHAR(32),
`grant_id` VARCHAR(32),
`other` VARCHAR(255),
`ques1` VARCHAR(255),
`ques2` VARCHAR(255),
`ques3` VARCHAR(255),
`slug` VARCHAR(255),
`photo_type` VARCHAR(255),
`processing` VARCHAR(255),
`g_cal_id` VARCHAR(255),
`g_cal_id_custom` VARCHAR(255),
`g_cal_id_custom_url` VARCHAR(255),
PRIMARY KEY (`id`),
INDEX `FI_Shoot_Publication` (`publication_id`),
CONSTRAINT `fk_Shoot_Publication`
FOREIGN KEY (`publication_id`)
REFERENCES `publication` (`id`),
INDEX `FI_Job_Project` (`project_id`),
CONSTRAINT `fk_Job_Project`
FOREIGN KEY (`project_id`)
REFERENCES `project` (`id`),
INDEX `FI_Job_Status` (`status_id`),
CONSTRAINT `fk_Job_Status`
FOREIGN KEY (`status_id`)
REFERENCES `status` (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- photo
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `photo`;
CREATE TABLE `photo`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`job_id` INTEGER,
PRIMARY KEY (`id`),
INDEX `FI_Photo_Job` (`job_id`),
CONSTRAINT `fk_Photo_Job`
FOREIGN KEY (`job_id`)
REFERENCES `job` (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- photographer
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `photographer`;
CREATE TABLE `photographer`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`user_id` INTEGER,
`name` VARCHAR(64),
`phone` VARCHAR(45),
`email` VARCHAR(64),
`affiliation` VARCHAR(64),
`website` VARCHAR(64),
`description` TEXT,
`billing_address` TEXT,
`slug` VARCHAR(255),
PRIMARY KEY (`id`),
INDEX `FI_Photographer_User` (`user_id`),
CONSTRAINT `fk_Photographer_User`
FOREIGN KEY (`user_id`)
REFERENCES `sf_guard_user_profile` (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- photographer_region
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `photographer_region`;
CREATE TABLE `photographer_region`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`photographer_id` INTEGER,
`address` TEXT,
`latitude` DOUBLE,
`longitude` DOUBLE,
PRIMARY KEY (`id`),
INDEX `FI_photographer_region_photographer` (`photographer_id`),
CONSTRAINT `fk_photographer_region_photographer`
FOREIGN KEY (`photographer_id`)
REFERENCES `photographer` (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- client
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `client`;
CREATE TABLE `client`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`user_id` INTEGER,
`name` VARCHAR(45),
`department` VARCHAR(255),
`address` VARCHAR(255),
`email` VARCHAR(255),
`phone` VARCHAR(32),
`slug` VARCHAR(255),
PRIMARY KEY (`id`),
INDEX `FI_Client_User` (`user_id`),
CONSTRAINT `fk_Client_User`
FOREIGN KEY (`user_id`)
REFERENCES `sf_guard_user_profile` (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- delivery
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `delivery`;
CREATE TABLE `delivery`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`pub_name` VARCHAR(255),
`pub_type` VARCHAR(255),
`other` VARCHAR(255),
`color` VARCHAR(255),
`format` VARCHAR(255),
`size` VARCHAR(255),
`method` VARCHAR(255),
`instructions` TEXT,
`job_id` INTEGER,
PRIMARY KEY (`id`),
INDEX `FI_delivery_job` (`job_id`),
CONSTRAINT `fk_delivery_job`
FOREIGN KEY (`job_id`)
REFERENCES `job` (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- status
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `status`;
CREATE TABLE `status`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`state` VARCHAR(45),
PRIMARY KEY (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- publication
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `publication`;
CREATE TABLE `publication`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`name` VARCHAR(255),
`contact_name` VARCHAR(64),
`contact_email` VARCHAR(64),
PRIMARY KEY (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- user_type
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `user_type`;
CREATE TABLE `user_type`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`type` VARCHAR(45),
`permissions` INTEGER,
PRIMARY KEY (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- job_photographer
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `job_photographer`;
CREATE TABLE `job_photographer`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`photographer_id` INTEGER,
`job_id` INTEGER,
PRIMARY KEY (`id`),
INDEX `FI_Job_Photographer_Photographer` (`photographer_id`),
CONSTRAINT `fk_Job_Photographer_Photographer`
FOREIGN KEY (`photographer_id`)
REFERENCES `photographer` (`id`),
INDEX `FI_Job_Photographer_Job` (`job_id`),
CONSTRAINT `fk_Job_Photographer_Job`
FOREIGN KEY (`job_id`)
REFERENCES `job` (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- job_client
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `job_client`;
CREATE TABLE `job_client`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`client_id` INTEGER,
`job_id` INTEGER,
PRIMARY KEY (`id`),
INDEX `FI_Job_Client_Client` (`client_id`),
CONSTRAINT `fk_Job_Client_Client`
FOREIGN KEY (`client_id`)
REFERENCES `client` (`id`),
INDEX `FI_Job_Client_Job` (`job_id`),
CONSTRAINT `fk_Job_Client_Job`
FOREIGN KEY (`job_id`)
REFERENCES `job` (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- log
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `log`;
CREATE TABLE `log`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`message` VARCHAR(255),
`when` DATETIME,
`propel_id` INTEGER,
`propel_class` VARCHAR(255),
`sf_guard_user_profile_id` INTEGER,
`log_message_type_id` INTEGER,
PRIMARY KEY (`id`),
INDEX `FI_log_sf_guard_user_profile` (`sf_guard_user_profile_id`),
CONSTRAINT `fk_log_sf_guard_user_profile`
FOREIGN KEY (`sf_guard_user_profile_id`)
REFERENCES `sf_guard_user_profile` (`user_id`),
INDEX `FI_log_log_message_type` (`log_message_type_id`),
CONSTRAINT `fk_log_log_message_type`
FOREIGN KEY (`log_message_type_id`)
REFERENCES `log_message_type` (`id`)
)Type=InnoDB;
#-----------------------------------------------------------------------------
#-- log_message_type
#-----------------------------------------------------------------------------
DROP TABLE IF EXISTS `log_message_type`;
CREATE TABLE `log_message_type`
(
`id` INTEGER NOT NULL AUTO_INCREMENT,
`type` VARCHAR(64),
PRIMARY KEY (`id`)
)Type=InnoDB;
# This restores the fkey checks, after having unset them earlier
SET FOREIGN_KEY_CHECKS = 1;
|
--
-- PostgreSQL database dump
--
-- Dumped from database version 9.3.5
-- Dumped by pg_dump version 9.3.5
-- Started on 2015-03-04 14:53:37
SET statement_timeout = 0;
SET lock_timeout = 0;
SET client_encoding = 'UTF8';
SET standard_conforming_strings = on;
SET check_function_bodies = false;
SET client_min_messages = warning;
DROP DATABASE gefp;
--
-- TOC entry 2020 (class 1262 OID 16393)
-- Name: gefp; Type: DATABASE; Schema: -; Owner: gefp
--
CREATE DATABASE gefp WITH TEMPLATE = template0 ENCODING = 'UTF8' LC_COLLATE = 'English_United States.1252' LC_CTYPE = 'English_United States.1252';
ALTER DATABASE gefp OWNER TO gefp;
SET statement_timeout = 0;
SET lock_timeout = 0;
SET client_encoding = 'UTF8';
SET standard_conforming_strings = on;
SET check_function_bodies = false;
SET client_min_messages = warning;
--
-- TOC entry 5 (class 2615 OID 2200)
-- Name: public; Type: SCHEMA; Schema: -; Owner: postgres
--
CREATE SCHEMA public;
ALTER SCHEMA public OWNER TO postgres;
--
-- TOC entry 2021 (class 0 OID 0)
-- Dependencies: 5
-- Name: SCHEMA public; Type: COMMENT; Schema: -; Owner: postgres
--
COMMENT ON SCHEMA public IS 'standard public schema';
--
-- TOC entry 181 (class 3079 OID 11750)
-- Name: plpgsql; Type: EXTENSION; Schema: -; Owner:
--
CREATE EXTENSION IF NOT EXISTS plpgsql WITH SCHEMA pg_catalog;
--
-- TOC entry 2023 (class 0 OID 0)
-- Dependencies: 181
-- Name: EXTENSION plpgsql; Type: COMMENT; Schema: -; Owner:
--
COMMENT ON EXTENSION plpgsql IS 'PL/pgSQL procedural language';
SET search_path = public, pg_catalog;
SET default_tablespace = '';
SET default_with_oids = false;
--
-- TOC entry 170 (class 1259 OID 65536)
-- Name: authorities; Type: TABLE; Schema: public; Owner: postgres; Tablespace:
--
CREATE TABLE authorities (
username character varying(255) NOT NULL,
authority character varying(255)
);
ALTER TABLE public.authorities OWNER TO postgres;
--
-- TOC entry 171 (class 1259 OID 65542)
-- Name: cells; Type: TABLE; Schema: public; Owner: postgres; Tablespace:
--
CREATE TABLE cells (
cellid bigint NOT NULL,
planid bigint,
runwayid bigint,
stageid bigint
);
ALTER TABLE public.cells OWNER TO postgres;
--
-- TOC entry 172 (class 1259 OID 65545)
-- Name: checkpoints; Type: TABLE; Schema: public; Owner: postgres; Tablespace:
--
CREATE TABLE checkpoints (
checkpointid bigint NOT NULL,
strdescription character varying(255),
cellid bigint,
id bigint
);
ALTER TABLE public.checkpoints OWNER TO postgres;
--
-- TOC entry 173 (class 1259 OID 65548)
-- Name: departments; Type: TABLE; Schema: public; Owner: postgres; Tablespace:
--
CREATE TABLE departments (
id bigint NOT NULL,
currentplan bigint,
strname character varying(255)
);
ALTER TABLE public.departments OWNER TO postgres;
--
-- TOC entry 174 (class 1259 OID 65551)
-- Name: hibernate_sequence; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE hibernate_sequence;
ALTER TABLE public.hibernate_sequence OWNER TO postgres;
--
-- TOC entry 175 (class 1259 OID 65553)
-- Name: plans; Type: TABLE; Schema: public; Owner: postgres; Tablespace:
--
CREATE TABLE plans (
planid bigint NOT NULL,
publisheddate timestamp without time zone,
strname character varying(255),
departmentid bigint
);
ALTER TABLE public.plans OWNER TO postgres;
--
-- TOC entry 176 (class 1259 OID 65556)
-- Name: roles; Type: TABLE; Schema: public; Owner: postgres; Tablespace:
--
CREATE TABLE roles (
roleid bigint NOT NULL,
strrolename character varying(255)
);
ALTER TABLE public.roles OWNER TO postgres;
--
-- TOC entry 177 (class 1259 OID 65559)
-- Name: runways; Type: TABLE; Schema: public; Owner: postgres; Tablespace:
--
CREATE TABLE runways (
runwayid bigint NOT NULL,
strname character varying(255),
planid bigint
);
ALTER TABLE public.runways OWNER TO postgres;
--
-- TOC entry 178 (class 1259 OID 65562)
-- Name: stages; Type: TABLE; Schema: public; Owner: postgres; Tablespace:
--
CREATE TABLE stages (
stageid bigint NOT NULL,
strname character varying(255),
planid bigint
);
ALTER TABLE public.stages OWNER TO postgres;
--
-- TOC entry 179 (class 1259 OID 65565)
-- Name: stu_checkpoint; Type: TABLE; Schema: public; Owner: postgres; Tablespace:
--
CREATE TABLE stu_checkpoint (
id bigint NOT NULL,
checkpointid bigint NOT NULL
);
ALTER TABLE public.stu_checkpoint OWNER TO postgres;
--
-- TOC entry 180 (class 1259 OID 65660)
-- Name: users; Type: TABLE; Schema: public; Owner: postgres; Tablespace:
--
CREATE TABLE users (
id bigint NOT NULL,
cin character varying(255),
email character varying(255),
enabled boolean NOT NULL,
password character varying(255),
username character varying(255),
deptid bigint,
planid bigint,
roleid bigint
);
ALTER TABLE public.users OWNER TO postgres;
--
-- TOC entry 2005 (class 0 OID 65536)
-- Dependencies: 170
-- Data for Name: authorities; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO authorities (username, authority) VALUES ('Advisor', 'ROLE_ADVISOR');
INSERT INTO authorities (username, authority) VALUES ('Admin', 'ROLE_ADMIN');
INSERT INTO authorities (username, authority) VALUES ('cysun', 'ROLE_ADMIN');
INSERT INTO authorities (username, authority) VALUES ('jdoe1', 'ROLE_STUDENT');
INSERT INTO authorities (username, authority) VALUES ('jdoe2', 'ROLE_STUDENT');
INSERT INTO authorities (username, authority) VALUES ('shashank', 'ROLE_STUDENT');
INSERT INTO authorities (username, authority) VALUES ('pooja', 'ROLE_STUDENT');
INSERT INTO authorities (username, authority) VALUES ('tfox', 'ROLE_ADVISOR');
--
-- TOC entry 2006 (class 0 OID 65542)
-- Dependencies: 171
-- Data for Name: cells; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (1, 1, 1, 1);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (2, 1, 2, 1);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (10, 4, 8, 9);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (12, 4, 8, 9);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (14, 4, 8, 9);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (16, 4, 8, 9);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (18, 4, 8, 9);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (20, 4, 8, 9);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (26, 4, 24, 22);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (28, 4, 24, 25);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (30, 4, 8, 9);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (32, 4, 8, 9);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (34, 4, 23, 9);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (36, 4, 8, 9);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (3, 4, 8, 9);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (5, 4, 23, 9);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (6, 4, 23, 9);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (7, 4, 8, 25);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (8, 1, 1, 1);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (11, 1, 3, 1);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (13, 1, 3, 2);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (15, 1, 1, 1);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (31, 23, 25, 24);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (33, 23, 26, 29);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (35, 23, 26, 28);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (39, 36, 38, 37);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (45, 5, 44, 43);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (47, 5, 44, 43);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (54, 2, 2, 3);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (62, 56, 60, 57);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (64, 56, 61, 59);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (68, 2, 67, 3);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (103, 6, 102, 101);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (114, 6, 112, 101);
INSERT INTO cells (cellid, planid, runwayid, stageid) VALUES (116, 6, 102, 111);
--
-- TOC entry 2007 (class 0 OID 65545)
-- Dependencies: 172
-- Data for Name: checkpoints; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO checkpoints (checkpointid, strdescription, cellid, id) VALUES (4, 'dsd', 7, NULL);
INSERT INTO checkpoints (checkpointid, strdescription, cellid, id) VALUES (9, 'c1', 8, NULL);
INSERT INTO checkpoints (checkpointid, strdescription, cellid, id) VALUES (12, 'c2', 11, NULL);
INSERT INTO checkpoints (checkpointid, strdescription, cellid, id) VALUES (14, 'ada', 15, NULL);
INSERT INTO checkpoints (checkpointid, strdescription, cellid, id) VALUES (32, 'c1', 31, NULL);
INSERT INTO checkpoints (checkpointid, strdescription, cellid, id) VALUES (34, 'c2', 35, NULL);
INSERT INTO checkpoints (checkpointid, strdescription, cellid, id) VALUES (40, 'c1', 39, NULL);
INSERT INTO checkpoints (checkpointid, strdescription, cellid, id) VALUES (46, 'c12', 47, NULL);
INSERT INTO checkpoints (checkpointid, strdescription, cellid, id) VALUES (63, 'c1', 64, NULL);
INSERT INTO checkpoints (checkpointid, strdescription, cellid, id) VALUES (55, 'c1', 68, NULL);
INSERT INTO checkpoints (checkpointid, strdescription, cellid, id) VALUES (104, 'asd', 103, NULL);
INSERT INTO checkpoints (checkpointid, strdescription, cellid, id) VALUES (115, 'asda', 114, NULL);
INSERT INTO checkpoints (checkpointid, strdescription, cellid, id) VALUES (117, 'afadvc', 116, NULL);
--
-- TOC entry 2008 (class 0 OID 65548)
-- Dependencies: 173
-- Data for Name: departments; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO departments (id, currentplan, strname) VALUES (41, 0, 'dept3');
INSERT INTO departments (id, currentplan, strname) VALUES (3, 23, 'test1');
INSERT INTO departments (id, currentplan, strname) VALUES (42, 0, 'test');
INSERT INTO departments (id, currentplan, strname) VALUES (48, 0, 'sdfs');
INSERT INTO departments (id, currentplan, strname) VALUES (53, 56, 'maths');
INSERT INTO departments (id, currentplan, strname) VALUES (1, 6, 'CE');
--
-- TOC entry 2024 (class 0 OID 0)
-- Dependencies: 174
-- Name: hibernate_sequence; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('hibernate_sequence', 140, false);
--
-- TOC entry 2010 (class 0 OID 65553)
-- Dependencies: 175
-- Data for Name: plans; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO plans (planid, publisheddate, strname, departmentid) VALUES (6, NULL, 'sdcdsc', 1);
INSERT INTO plans (planid, publisheddate, strname, departmentid) VALUES (7, NULL, 'sddss', 1);
INSERT INTO plans (planid, publisheddate, strname, departmentid) VALUES (2, NULL, 'plan211', 1);
INSERT INTO plans (planid, publisheddate, strname, departmentid) VALUES (16, NULL, 'dfsfds', 1);
INSERT INTO plans (planid, publisheddate, strname, departmentid) VALUES (17, NULL, 'dfsfds', 1);
INSERT INTO plans (planid, publisheddate, strname, departmentid) VALUES (18, NULL, 'tesrrg', 1);
INSERT INTO plans (planid, publisheddate, strname, departmentid) VALUES (19, NULL, 'dfdd', 1);
INSERT INTO plans (planid, publisheddate, strname, departmentid) VALUES (20, NULL, 'sdfsf', 1);
INSERT INTO plans (planid, publisheddate, strname, departmentid) VALUES (21, NULL, 'sdfsf', 1);
INSERT INTO plans (planid, publisheddate, strname, departmentid) VALUES (4, NULL, 'dgdgd123', 1);
INSERT INTO plans (planid, publisheddate, strname, departmentid) VALUES (1, NULL, 'plan11', 1);
INSERT INTO plans (planid, publisheddate, strname, departmentid) VALUES (22, NULL, 'qqqqq', 1);
INSERT INTO plans (planid, publisheddate, strname, departmentid) VALUES (23, NULL, 'plan1', 3);
INSERT INTO plans (planid, publisheddate, strname, departmentid) VALUES (36, NULL, 'plan2', 3);
INSERT INTO plans (planid, publisheddate, strname, departmentid) VALUES (5, NULL, 'sdcd123', 1);
INSERT INTO plans (planid, publisheddate, strname, departmentid) VALUES (56, NULL, 'maths1', 53);
--
-- TOC entry 2011 (class 0 OID 65556)
-- Dependencies: 176
-- Data for Name: roles; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO roles (roleid, strrolename) VALUES (1, 'ROLE_ADMIN');
INSERT INTO roles (roleid, strrolename) VALUES (3, 'ROLE_STUDENT');
INSERT INTO roles (roleid, strrolename) VALUES (2, 'ROLE_ADVISOR');
--
-- TOC entry 2012 (class 0 OID 65559)
-- Dependencies: 177
-- Data for Name: runways; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO runways (runwayid, strname, planid) VALUES (1, 'runway1', 1);
INSERT INTO runways (runwayid, strname, planid) VALUES (2, 'runway2', 2);
INSERT INTO runways (runwayid, strname, planid) VALUES (3, 'runway3', 1);
INSERT INTO runways (runwayid, strname, planid) VALUES (8, 'r1', 4);
INSERT INTO runways (runwayid, strname, planid) VALUES (23, 'r2', 4);
INSERT INTO runways (runwayid, strname, planid) VALUES (24, 'r3', 4);
INSERT INTO runways (runwayid, strname, planid) VALUES (25, 'r1', 23);
INSERT INTO runways (runwayid, strname, planid) VALUES (26, 'r2', 23);
INSERT INTO runways (runwayid, strname, planid) VALUES (27, 'r3', 23);
INSERT INTO runways (runwayid, strname, planid) VALUES (38, 'r1', 36);
INSERT INTO runways (runwayid, strname, planid) VALUES (44, 'r1', 5);
INSERT INTO runways (runwayid, strname, planid) VALUES (50, 'r2', 5);
INSERT INTO runways (runwayid, strname, planid) VALUES (52, 'r3', 5);
INSERT INTO runways (runwayid, strname, planid) VALUES (60, 'r1', 56);
INSERT INTO runways (runwayid, strname, planid) VALUES (61, 'r2', 56);
INSERT INTO runways (runwayid, strname, planid) VALUES (67, 'r1', 2);
INSERT INTO runways (runwayid, strname, planid) VALUES (102, 'asd', 6);
INSERT INTO runways (runwayid, strname, planid) VALUES (112, 'adcxa', 6);
INSERT INTO runways (runwayid, strname, planid) VALUES (113, 'afwer', 6);
--
-- TOC entry 2013 (class 0 OID 65562)
-- Dependencies: 178
-- Data for Name: stages; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO stages (stageid, strname, planid) VALUES (1, 'stage1', 1);
INSERT INTO stages (stageid, strname, planid) VALUES (2, 'stage2', 1);
INSERT INTO stages (stageid, strname, planid) VALUES (3, 'stage3', 2);
INSERT INTO stages (stageid, strname, planid) VALUES (9, 's1', 4);
INSERT INTO stages (stageid, strname, planid) VALUES (22, 's2', 4);
INSERT INTO stages (stageid, strname, planid) VALUES (25, 's3', 4);
INSERT INTO stages (stageid, strname, planid) VALUES (24, 's1', 23);
INSERT INTO stages (stageid, strname, planid) VALUES (28, 's2', 23);
INSERT INTO stages (stageid, strname, planid) VALUES (29, 's3', 23);
INSERT INTO stages (stageid, strname, planid) VALUES (37, 's1', 36);
INSERT INTO stages (stageid, strname, planid) VALUES (43, 's1', 5);
INSERT INTO stages (stageid, strname, planid) VALUES (49, 're', 5);
INSERT INTO stages (stageid, strname, planid) VALUES (51, 's3', 5);
INSERT INTO stages (stageid, strname, planid) VALUES (57, 's1', 56);
INSERT INTO stages (stageid, strname, planid) VALUES (58, 's2', 56);
INSERT INTO stages (stageid, strname, planid) VALUES (59, 's3', 56);
INSERT INTO stages (stageid, strname, planid) VALUES (65, 's2', 2);
INSERT INTO stages (stageid, strname, planid) VALUES (66, 's3', 2);
INSERT INTO stages (stageid, strname, planid) VALUES (101, 'asd', 6);
INSERT INTO stages (stageid, strname, planid) VALUES (110, 'asdasd', 6);
INSERT INTO stages (stageid, strname, planid) VALUES (111, 'werwerwer', 6);
--
-- TOC entry 2014 (class 0 OID 65565)
-- Dependencies: 179
-- Data for Name: stu_checkpoint; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO stu_checkpoint (id, checkpointid) VALUES (3, 63);
INSERT INTO stu_checkpoint (id, checkpointid) VALUES (3, 117);
INSERT INTO stu_checkpoint (id, checkpointid) VALUES (3, 115);
INSERT INTO stu_checkpoint (id, checkpointid) VALUES (5, 34);
INSERT INTO stu_checkpoint (id, checkpointid) VALUES (5, 32);
--
-- TOC entry 2015 (class 0 OID 65660)
-- Dependencies: 180
-- Data for Name: users; Type: TABLE DATA; Schema: public; Owner: postgres
--
INSERT INTO users (id, cin, email, enabled, password, username, deptid, planid, roleid) VALUES (1, '123', 'admin@csula.com', true, 'abcd', 'Admin', 1, 1, 1);
INSERT INTO users (id, cin, email, enabled, password, username, deptid, planid, roleid) VALUES (2, '1234', 'advisor@csula.com', true, 'abcd', 'Advisor', 1, 1, 2);
INSERT INTO users (id, cin, email, enabled, password, username, deptid, planid, roleid) VALUES (4, '321', 'cysun@csula.com', true, 'abcd', 'cysun', 1, 1, 1);
INSERT INTO users (id, cin, email, enabled, password, username, deptid, planid, roleid) VALUES (3, '12345', 'jdoe1@csula.com', true, 'abcd', 'jdoe1', 3, 1, 3);
INSERT INTO users (id, cin, email, enabled, password, username, deptid, planid, roleid) VALUES (7, '213', 'shashank@csula.com', true, 'abcd', 'shashank', 1, 1, 3);
INSERT INTO users (id, cin, email, enabled, password, username, deptid, planid, roleid) VALUES (5, '231', 'jdoe2@csula.com', true, 'abcd', 'jdoe2', 3, 2, 3);
INSERT INTO users (id, cin, email, enabled, password, username, deptid, planid, roleid) VALUES (6, '132', 'pooja@csula.com', true, 'abcd', 'pooja', 3, 1, 3);
INSERT INTO users (id, cin, email, enabled, password, username, deptid, planid, roleid) VALUES (8, '1321', 'tfox@csula.com', true, 'abcd', 'tfox', 1, 1, 2);
--
-- TOC entry 1866 (class 2606 OID 65575)
-- Name: cells_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres; Tablespace:
--
ALTER TABLE ONLY cells
ADD CONSTRAINT cells_pkey PRIMARY KEY (cellid);
--
-- TOC entry 1868 (class 2606 OID 65577)
-- Name: checkpoints_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres; Tablespace:
--
ALTER TABLE ONLY checkpoints
ADD CONSTRAINT checkpoints_pkey PRIMARY KEY (checkpointid);
--
-- TOC entry 1880 (class 2606 OID 65688)
-- Name: constraintname; Type: CONSTRAINT; Schema: public; Owner: postgres; Tablespace:
--
ALTER TABLE ONLY users
ADD CONSTRAINT constraintname UNIQUE (username);
--
-- TOC entry 1862 (class 2606 OID 65581)
-- Name: constraintname1; Type: CONSTRAINT; Schema: public; Owner: postgres; Tablespace:
--
ALTER TABLE ONLY authorities
ADD CONSTRAINT constraintname1 UNIQUE (username);
--
-- TOC entry 1864 (class 2606 OID 65690)
-- Name: constraintname2; Type: CONSTRAINT; Schema: public; Owner: postgres; Tablespace:
--
ALTER TABLE ONLY authorities
ADD CONSTRAINT constraintname2 UNIQUE (username);
--
-- TOC entry 1882 (class 2606 OID 65692)
-- Name: constraintname4; Type: CONSTRAINT; Schema: public; Owner: postgres; Tablespace:
--
ALTER TABLE ONLY users
ADD CONSTRAINT constraintname4 UNIQUE (cin);
--
-- TOC entry 1884 (class 2606 OID 65694)
-- Name: constraintname5; Type: CONSTRAINT; Schema: public; Owner: postgres; Tablespace:
--
ALTER TABLE ONLY users
ADD CONSTRAINT constraintname5 UNIQUE (email);
--
-- TOC entry 1870 (class 2606 OID 65583)
-- Name: departments_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres; Tablespace:
--
ALTER TABLE ONLY departments
ADD CONSTRAINT departments_pkey PRIMARY KEY (id);
--
-- TOC entry 1872 (class 2606 OID 65585)
-- Name: plans_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres; Tablespace:
--
ALTER TABLE ONLY plans
ADD CONSTRAINT plans_pkey PRIMARY KEY (planid);
--
-- TOC entry 1874 (class 2606 OID 65587)
-- Name: roles_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres; Tablespace:
--
ALTER TABLE ONLY roles
ADD CONSTRAINT roles_pkey PRIMARY KEY (roleid);
--
-- TOC entry 1876 (class 2606 OID 65589)
-- Name: runways_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres; Tablespace:
--
ALTER TABLE ONLY runways
ADD CONSTRAINT runways_pkey PRIMARY KEY (runwayid);
--
-- TOC entry 1878 (class 2606 OID 65591)
-- Name: stages_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres; Tablespace:
--
ALTER TABLE ONLY stages
ADD CONSTRAINT stages_pkey PRIMARY KEY (stageid);
--
-- TOC entry 1886 (class 2606 OID 65667)
-- Name: users_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres; Tablespace:
--
ALTER TABLE ONLY users
ADD CONSTRAINT users_pkey PRIMARY KEY (id);
--
-- TOC entry 1896 (class 2606 OID 65673)
-- Name: fk_300612tbjw6a76tka9hbyj5kj; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY users
ADD CONSTRAINT fk_300612tbjw6a76tka9hbyj5kj FOREIGN KEY (planid) REFERENCES plans(planid);
--
-- TOC entry 1893 (class 2606 OID 65604)
-- Name: fk_7how2bwdk7ldqhei0mn29jik9; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY stages
ADD CONSTRAINT fk_7how2bwdk7ldqhei0mn29jik9 FOREIGN KEY (planid) REFERENCES plans(planid);
--
-- TOC entry 1890 (class 2606 OID 65609)
-- Name: fk_882s8plmqjoo8i6u8958ak2a4; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY checkpoints
ADD CONSTRAINT fk_882s8plmqjoo8i6u8958ak2a4 FOREIGN KEY (cellid) REFERENCES cells(cellid);
--
-- TOC entry 1892 (class 2606 OID 65614)
-- Name: fk_bkfr33r6yo1uoqtqstctpjbdr; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY runways
ADD CONSTRAINT fk_bkfr33r6yo1uoqtqstctpjbdr FOREIGN KEY (planid) REFERENCES plans(planid);
--
-- TOC entry 1894 (class 2606 OID 65619)
-- Name: fk_e5tdy2jt957q5hsh6k7c0dbrn; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY stu_checkpoint
ADD CONSTRAINT fk_e5tdy2jt957q5hsh6k7c0dbrn FOREIGN KEY (checkpointid) REFERENCES checkpoints(checkpointid);
--
-- TOC entry 1891 (class 2606 OID 65624)
-- Name: fk_gnj1uex6wja7s8snvyvpgwpkj; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY plans
ADD CONSTRAINT fk_gnj1uex6wja7s8snvyvpgwpkj FOREIGN KEY (departmentid) REFERENCES departments(id);
--
-- TOC entry 1887 (class 2606 OID 65629)
-- Name: fk_icmptxvqjt7g6xtuqrvxbeyc7; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY cells
ADD CONSTRAINT fk_icmptxvqjt7g6xtuqrvxbeyc7 FOREIGN KEY (runwayid) REFERENCES runways(runwayid);
--
-- TOC entry 1895 (class 2606 OID 65668)
-- Name: fk_kreg3i9tw5ofo63pke970yt3l; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY users
ADD CONSTRAINT fk_kreg3i9tw5ofo63pke970yt3l FOREIGN KEY (deptid) REFERENCES departments(id);
--
-- TOC entry 1888 (class 2606 OID 65644)
-- Name: fk_rftivuufqf20k8g5sgpke6ejl; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY cells
ADD CONSTRAINT fk_rftivuufqf20k8g5sgpke6ejl FOREIGN KEY (stageid) REFERENCES stages(stageid);
--
-- TOC entry 1897 (class 2606 OID 65678)
-- Name: fk_rin8hpeky1j0qj4mwj1lcc6mb; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY users
ADD CONSTRAINT fk_rin8hpeky1j0qj4mwj1lcc6mb FOREIGN KEY (roleid) REFERENCES roles(roleid);
--
-- TOC entry 1889 (class 2606 OID 65654)
-- Name: fk_sb05rqxga5v6uhxlbe429yked; Type: FK CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY cells
ADD CONSTRAINT fk_sb05rqxga5v6uhxlbe429yked FOREIGN KEY (planid) REFERENCES plans(planid);
--
-- TOC entry 2022 (class 0 OID 0)
-- Dependencies: 5
-- Name: public; Type: ACL; Schema: -; Owner: postgres
--
REVOKE ALL ON SCHEMA public FROM PUBLIC;
REVOKE ALL ON SCHEMA public FROM postgres;
GRANT ALL ON SCHEMA public TO postgres;
GRANT ALL ON SCHEMA public TO PUBLIC;
-- Completed on 2015-03-04 14:53:38
--
-- PostgreSQL database dump complete
--
|
DELIMITER $$
USE `pubs10`$$
DROP PROCEDURE IF EXISTS `pp3_cur`$$
CREATE DEFINER=`root`@`localhost` PROCEDURE `pp3_cur`(aid VARCHAR(20),var INT)
BEGIN
DECLARE cnt INT DEFAULT 0; -- 定义书总数cnt为int类型初始值为0
DECLARE dan INT DEFAULT 0; -- 定义单著dan为int型初始值为0
DECLARE he INT DEFAULT 0; -- 定义合著he为int型初始值为0
DECLARE i INT DEFAULT 1; -- 定义变量i为int类型初始值为1
DECLARE tid VARCHAR(10); -- 定义tid为title_id
DECLARE tidcnt INT DEFAULT 0; -- 定义tidcnt用于单著、合著tidcnt=1为单著，大于1为合著
DECLARE n INT DEFAULT 1; -- 定义n为游标结束条件 n=0游标结束；n=1执行循环
DECLARE cur CURSOR FOR
SELECT DISTINCT title_id FROM titleauthor WHERE au_id=aid; -- 定义游标cur，查询titleauthor表里的title_id
DECLARE CONTINUE HANDLER FOR NOT FOUND SET n = 0; -- 将结束标志n=0绑定到游标
DROP TABLE IF EXISTS linshi; -- 如果临时表存在，删除临时表
OPEN cur; -- 打开游标
-- 当n=0时执行
FETCH cur INTO tid; -- 将游标遍历的数据存放到tid
-- 如果传递的var=0，则删除cntauthors表中数据
IF var=0 THEN
DELETE FROM cntauthors;
END IF;
WHILE n=1 DO -- 如果变量n=1执行循环语句
SELECT COUNT(1) INTO tidcnt FROM titleauthor WHERE title_id=tid;
-- 以上两句相当于SELECT COUNT(1) FROM titleauthor WHERE title_id='bu2075'（bu2075相当于xh）
IF tidcnt=1 THEN -- 如果title_id的数量tidcnt=1
SET dan=dan+1; -- 单著+1
ELSEIF(tidcnt>1) THEN -- 如果title_id的数量tidcnt>1
SET he=he+1; -- 合著+1
END IF;
FETCH cur INTO tid; -- 将游标遍历的数据存放到tid
END WHILE; -- 不满足while条件，退出循环
INSERT INTO cntauthors VALUES (aid,dan+he,dan,he);
IF var=0 THEN
SELECT * FROM cntauthors; -- 显示作者编号au_id、书籍总数cnt、单著dan、合著he
END IF;
CLOSE cur; -- 关闭游标
END$$
DELIMITER ; |
USE SpartansDB
INSERT INTO [Spartans Table]
(
Title, FirstName, LastName, University, Course, Grade
)
VALUES
('Lord', 'Ygor', 'Delboni Teixeira', 'Greenwich', 'Games Design and Development', '2:2'),
('Mr.', 'Jack', 'Farmer', 'Leeds', 'Physics', '2:1'),
('Miss', 'Ariadna', 'Gonzales Lopez', 'London Metropolitan', 'Business Information Technology', '1st'),
('Mr.', 'Mohammad', 'Khwaja', 'Westminster', 'Electronic Engineering', '2:2'),
('Mr.', 'Daniel', 'Lippross', 'Hull', 'Chemistry', '2:2'),
('Mr.', 'Victor', 'Granados Jimenez', 'Granada', 'Information and Documentation', '2nd'),
('Mr.', 'Joyel', 'Shaju', 'Coventry', 'Computer Science', '1st'),
('Mr.', 'Javier', 'Martinez Romero', 'Royal Holloway', 'Mathematics', '3rd'),
('Mr.', 'Zaid', 'Iqbal', 'QMUL', 'Computer Science', '2:1'),
('Mr.', 'Paul', 'Brewer', 'Hull', 'Computer Science', '1st'),
('Miss', 'Elizabeth', 'Nicholl', 'Cantebury Christ Church', 'Sport and Exercise Science', '1st'),
('Mr.', 'Anjum', 'Ali Saiyad', 'Queen Mary', 'Mathematics', '2:2'),
('Mr.', 'Hussain', 'Fiaz', 'East London', 'Computer Science', '2:2'),
('Mr.', 'Thomas', 'Briggs', 'Bournemouth', 'Exercise Science', '1st'),
('Mr.', 'Shaqi', 'Abdullah', 'Brunel', 'Mechanical Engineering', '2:1') |
--Problem 7.Write a SQL query to find the number
--of all employees that have manager.
SELECT COUNT(*) AS [Employees with manager]
FROM Employees e
WHERE e.ManagerID IS NOT NULL |
drop table crimedaytable;
create table crimedaytable(
bigClassify varchar2(26),
middleClassify varchar2(26),
sun number(7),
mon number(7),
tue number(7),
wed number(7),
thu number(7),
fri number(7),
sat number(7)
);
insert into crimedaytable values('강력범죄','살인기수',50,55,43,61,40,54,53);
insert into crimedaytable values('강력범죄','살인미수등',91,86,78,81,70,81,71);
insert into crimedaytable values('강력범죄','강도',167,157,166,165,163,175,156);
insert into crimedaytable values('강력범죄','강간',873,655,701,655,615,760,896);
insert into crimedaytable values('강력범죄','유사강간',86,67,93,82,65,82,108);
insert into crimedaytable values('강력범죄','강제추행',2373,2091,2122,2128,2228,2471,2641);
insert into crimedaytable values('강력범죄','기타강간',62,56,61,51,52,58,68);
insert into crimedaytable values('강력범죄','방화',229,218,211,193,223,221,207);
insert into crimedaytable values('절도범죄','절도범죄',28759,27683,27628,27861,27809,30852,32445);
insert into crimedaytable values('폭력범죄','상해',7820,6594,6886,6853,6770,7161,7944);
insert into crimedaytable values('폭력범죄','폭행',27162,20470,21793,22403,22168,23728,28079);
insert into crimedaytable values('폭력범죄','체포감금',175,208,191,209,179,188,168);
insert into crimedaytable values('폭력범죄','협박',2349,2197,2254,2268,2231,2242,2329);
insert into crimedaytable values('폭력범죄','약취유인',28,30,31,36,17,29,30);
insert into crimedaytable values('폭력범죄','폭력행위등',2445,1586,1685,1667,1654,1845,2420);
insert into crimedaytable values('폭력범죄','공갈',413,549,573,546,566,548,550);
insert into crimedaytable values('폭력범죄','손괴',8865,7787,7974,7949,7990,8839,9723);
insert into crimedaytable values('지능범죄','직무유기',43,99,89,91,86,94,29);
insert into crimedaytable values('지능범죄','직권남용',25,66,77,76,88,64,41);
insert into crimedaytable values('지능범죄','증수뢰',24,49,32,51,36,52,16);
insert into crimedaytable values('지능범죄','통화',57,332,332,312,343,356,79);
insert into crimedaytable values('지능범죄','문서인장',874,2427,2232,2245,2157,2294,1066);
insert into crimedaytable values('지능범죄','유가증권인지',7,47,45,37,32,38,13);
insert into crimedaytable values('지능범죄','사기',19759,39426,40183,40326,40052,39638,22229);
insert into crimedaytable values('지능범죄','횡령',6159,7309,7087,7193,7309,8077,6919);
insert into crimedaytable values('지능범죄','배임',274,706,749,753,706,823,347);
insert into crimedaytable values('풍속범죄','성풍속범죄',1501,1834,2080,1815,1970,1918,1601);
insert into crimedaytable values('풍속범죄','도박범죄',1510,1866,1894,1964,1932,2378,1902);
insert into crimedaytable values('특별경제범죄','특별경제범죄',6113,10131,10943,10292,10365,10401,6780);
insert into crimedaytable values('마약범죄','마약범죄',786,1143,1225,1118,1088,1200,769);
insert into crimedaytable values('보건범죄','보건범죄',1076,2288,2449,2413,2487,2545,1404);
insert into crimedaytable values('환경범죄','환경범죄',335,715,764,738,732,687,378);
insert into crimedaytable values('교통범죄','교통범죄',79265,80279,85163,85277,87438,91267,91712);
insert into crimedaytable values('노동범죄','노동범죄',84,468,570,406,425,397,107);
insert into crimedaytable values('안보범죄','안보범죄',4,14,16,11,16,6,14);
insert into crimedaytable values('선거범죄','선거범죄',109,159,138,224,139,145,104);
insert into crimedaytable values('병역범죄','병역범죄',178,3854,4422,2431,2750,2760,256);
insert into crimedaytable values('기타범죄','기타범죄',29040,39069,40675,39676,40077,40735,31267);
commit;
select * from crimedaytable; |
-- Table definitions for the tournament project.
--
-- Put your SQL 'create table' statements in this file; also 'create view'
-- statements if you choose to use it.
--
-- You can write comments in this file by starting them with two dashes, like
-- these lines here.
DROP DATABASE IF EXISTS tournament;
CREATE DATABASE tournament;
-- connect to db to execute following code
\c tournament;
-- create table to store player data
DROP TABLE IF EXISTS player;
CREATE TABLE player
(
id SERIAL PRIMARY KEY,
name VARCHAR(100) NOT NULL
);
-- create table to store match data
DROP TABLE IF EXISTS match;
CREATE TABLE match
(
id SERIAL PRIMARY KEY,
winner INTEGER REFERENCES player (id),
loser INTEGER REFERENCES player (id)
);
-- create view to count number of wins for each player
CREATE OR REPLACE VIEW wins AS
SELECT p.id, COUNT(m.id) as number_of_wins
FROM player p
JOIN match m
ON p.id = m.winner
GROUP BY p.id;
-- create view to count number of matches for each player
CREATE OR REPLACE VIEW count_matches AS
SELECT p.id, COUNT(m.id) AS number_of_matches
FROM player p
JOIN match m ON p.id = m.winner OR p.id = m.loser
GROUP BY p.id;
-- create view to retrieve standings for players
-- each player should appear in the result no mater
-- if player has any win or if player played match at all
CREATE OR REPLACE VIEW standings AS
SELECT p.id as id, p.name as name, COALESCE(w.number_of_wins, 0) as wins,
COALESCE(c.number_of_matches, 0) as matches
FROM player p
LEFT JOIN wins w ON p.id = w.id
LEFT JOIN count_matches c ON p.id = c.id |
create table ru_post_details
(
postid int not null,
name varchar(32),
value text,
username varchar(64) not null
)
|
SELECT
*
FROM
stv_wlm_service_class_state
ORDER BY
service_class
|
alter table user_0 add column gem_count integer default 0;
|
create database QL_hocsinh
use QL_hocsinh
create table hocsinh
(
mahs char(6) primary key not null,
hoten nvarchar(120) null,
ngaysinh datetime not null,
dienthoai int null
)
create table monhoc
(
tenmonhoc nvarchar(120) primary key not null,
sosession int not null,
diemdat float not null,
diemtoida float not null
)
create table bangthi
(
mahs char(6) foreign key references hocsinh(mahs) not null,
monhoc nvarchar(120) foreign key references monhoc(tenmonhoc) not null,
diemthi float null,
ngaythi datetime null,
lanthi int null,
primary key(mahs,monhoc)
)
insert into hocsinh(mahs,hoten,ngaysinh,dienthoai)
values('M001',N'Nguyễn Quốc Oai','07-29-1995','117654'),
('M002',N'Trần Thanh','04-12-1996','548932'),
('M003',N'Phạm Văn Dương','09-21-1990','347690')
insert into monhoc(tenmonhoc,sosession,diemdat,diemtoida)
values(N'Toán','20','4.5','10.0'),
(N'Văn','40','5.0','9.0'),
(N'Ngoại ngữ','60','4.5','10.0')
insert into bangthi(mahs,monhoc,diemthi,ngaythi,lanthi)
values('M001',N'Toán','4','9/24/2007','1'),
('M001',N'Ngoại ngữ','8','9/29/2007','1'),
('M002',N'Văn','6.5','9/25/2007','1'),
('M003',N'Toán','9.5','9/24/2007','1'),
('M001',N'Văn','8','9/25/2007','2'),
('M003',N'Ngoại ngữ','7.5','9/29/2007','1'),
('M002',N'Toán','8.5','9/24/2007','1'),
('M002',N'Ngoại ngữ','10','9/29/2007','2'),
('M003',N'Văn','3.5','12/05/2008','2')
-- câu 1
DROP PROC sp1
CREATE PROC sp1 AS
SELECT m.tenmonhoc,m.sosession+4 AS 'New sosession',m.diemdat,m.diemtoida
FROM monhoc m
EXEC sp1
SELECT * FROM monhoc
CREATE PROC sp1 AS
UPDATE monhoc
SET sosession=sosession+4
EXEC sp1
SELECT * FROM monhoc
-- câu 2
DROP PROC sp2
CREATE PROC sp2
@tenmonhoc NVARCHAR(30), @sosessiontang INT
as
UPDATE monhoc
SET
sosession = sosession + @sosessiontang
WHERE tenmonhoc=@tenmonhoc
EXEC sp2 N'Toán',7
EXEC sp2 N'Văn',30
SELECT * FROM monhoc
-- câu 3
DROP PROC sp3
DROP VIEW V_sp3
CREATE VIEW V_sp3 AS
SELECT * FROM bangthi WHERE ngaythi='9-24-2007'
CREATE PROC sp3 AS
SELECT h.hoten FROM hocsinh AS h
WHERE mahs = (SELECT TOP(1)mahs from V_sp3 ORDER BY diemthi desc )
EXEC sp3
CREATE PROC sp3_2 AS
SELECT h.hoten FROM hocsinh AS h
WHERE mahs = (SELECT TOP(1)mahs from bangthi WHERE ngaythi='9-29-2007' ORDER BY diemthi desc )
EXEC sp3_2
DROP PROC sp3_2
-- câu 4
DROP PROC sp4
CREATE PROC sp4
@tenmonhoc NVARCHAR(20)
AS
SELECT h.hoten FROM hocsinh h
WHERE mahs = (SELECT TOP(1)mahs FROM bangthi WHERE monhoc=@tenmonhoc ORDER BY diemthi DESC)
EXEC sp4 N'NGoại NGữ'
-- câu 5
CREATE PROC sp5 as
SELECT COUNT(*) AS N'Số thằng tạch toán' FROM bangthi WHERE monhoc=N'Toán' AND diemthi<5
EXEC sp5
-- câu 6
CREATE PROC sp6
@tenmonhoc NVARCHAR(30) AS
SELECT COUNT(*) AS N'Số Khí đậu môn mày tìm' FROM bangthi WHERE monhoc=@tenmonhoc AND diemthi>=5
EXEC sp6 N'Ngoại Ngữ'
-- câu 7
CREATE PROC sp7 AS
SELECT * FROM hocsinh WHERE hoten LIKE N'T%'
EXEC sp7
-- câu 8
DROP proc sp8
CREATE PROC sp8 AS
DELETE FROM bangthi WHERE ngaythi='12-5-2008'
EXEC sp8
|
/**
* @Author: schwarze_falke
* @Date: 2018-09-06T02:37:56-05:00
* @Last modified by: schwarze_falke
* @Last modified time: 2018-09-12T13:12:08-05:00
*/
/** DATABASE CREATION: DB_EMAIL */
CREATE DATABASE DB_EMAIL;
USE DB_EMAIL;
CREATE TABLE user (
account VARCHAR(30) PRIMARY KEY NOT NULL,
pass VARCHAR(45) NOT NULL
);
CREATE TABLE contact (
account VARCHAR(30) PRIMARY KEY NOT NULL,
name VARCHAR(30) NOT NULL,
lastname VARCHAR(50),
deleted BOOLEAN,
sender VARCHAR(30),
FOREIGN KEY (sender)
REFERENCES user(account)
);
CREATE TABLE e_mail (
id INT PRIMARY KEY AUTO_INCREMENT,
subject VARCHAR(50) NOT NULL,
body TINYTEXT NOT NULL,
attached BLOB,
addressee VARCHAR(30),
sender VARCHAR(30),
FOREIGN KEY (addressee)
REFERENCES contact(account),
FOREIGN KEY (sender)
REFERENCES user(account)
);
/** DATABASE CREATION: DB_AMBIANT */
CREATE DATABASE DB_AMBIANT;
USE DB_AMBIANT;
CREATE TABLE user (
id INT PRIMARY KEY AUTO_INCREMENT,
e_mail VARCHAR(30) NOT NULL,
pass VARCHAR(30) NOT NULL,
name VARCHAR(30) NOT NULL,
type BOOLEAN NOT NULL,
lastname VARCHAR(50),
address TINYTEXT
);
CREATE TABLE house (
id INT PRIMARY KEY AUTO_INCREMENT,
address TINYTEXT NOT NULL,
area FLOAT NOT NULL,
rooms INT,
salesman_id INT,
buyer_id INT,
FOREIGN KEY (salesman_id)
REFERENCES user(id),
FOREIGN KEY (buyer_id)
REFERENCES user(id)
);
CREATE TABLE userhouse (
user_id INT,
house_id INT,
FOREIGN KEY (user_id)
REFERENCES user(id),
FOREIGN KEY (house_id)
REFERENCES house(id)
);
CREATE TABLE possible_purchase (
id INT PRIMARY KEY AUTO_INCREMENT,
price FLOAT,
config BLOB,
house_id INT,
salesman_id INT,
buyer_id INT,
FOREIGN KEY (house_id)
REFERENCES house(id),
FOREIGN KEY (salesman_id)
REFERENCES user(id),
FOREIGN KEY (buyer_id)
REFERENCES user(id)
);
/** DATABASE CREATION: DB_PET */
CREATE DATABASE DB_PET;
USE DB_PET;
CREATE TABLE user (
id INT PRIMARY KEY AUTO_INCREMENT,
e_mail VARCHAR(30) NOT NULL,
pass VARCHAR(30) NOT NULL,
name VARCHAR(30) NOT NULL,
lastname VARCHAR(30),
type BOOLEAN
);
CREATE TABLE owner (
id INT PRIMARY KEY AUTO_INCREMENT,
name VARCHAR(30) NOT NULL,
lastname VARCHAR(30),
address TINYTEXT,
phone TINYINT,
pic BLOB,
user_id INT,
FOREIGN KEY (user_id)
REFERENCES user(id)
);
CREATE TABLE pet (
id INT PRIMARY KEY AUTO_INCREMENT,
name VARCHAR(30) NOT NULL,
diseases TINYTEXT,
features TINYTEXT,
race VARCHAR(30),
age INT,
pic BLOB,
owner_id INT,
FOREIGN KEY (owner_id)
REFERENCES owner(id)
);
CREATE TABLE report (
id INT PRIMARY KEY AUTO_INCREMENT,
last_seen TINYTEXT,
found BOOLEAN,
qr BLOB,
pet_id INT,
FOREIGN KEY (pet_id)
REFERENCES pet(id)
);
/** DATABASE CREATION: DB_GREENHOUSE */
CREATE TABLE owner (
id INT PRIMARY KEY AUTO_INCREMENT,
name VARCHAR(30) NOT NULL,
lastname VARCHAR(50)
);
CREATE TABLE greenhouse (
id INT PRIMARY KEY AUTO_INCREMENT,
name VARCHAR(50) NOT NULL,
location VARCHAR(50) NOT NULL,
owner_id INT,
FOREIGN KEY (owner_id)
REFERENCES owner(id)
);
CREATE TABLE clasification (
id INT PRIMARY KEY AUTO_INCREMENT,
clasification VARCHAR(30) NOT NULL
);
CREATE TABLE plant (
id INT PRIMARY KEY AUTO_INCREMENT,
cultive VARCHAR(30) NOT NULL,
cul_date DATE NOT NULL,
clasif_id INT,
grnhs_id INT,
FOREIGN KEY(clasif_id)
REFERENCES clasification(id),
FOREIGN KEY(grnhs_id)
REFERENCES greenhouse(id)
);
ALTER TABLE plant ADD date2 DATE;
CREATE TABLE register (
id INT PRIMARY KEY AUTO_INCREMENT,
reg_date DATE NOT NULL,
ph FLOAT,
luz FLOAT,
humidity FLOAT,
co2 FLOAT,
plant_id INT,
FOREIGN KEY (plant_id)
REFERENCES plant(id)
);
CREATE TABLE user (
id INT PRIMARY KEY AUTO_INCREMENT,
email VARCHAR(128) NOT NULL,
pass VARCHAR(64) NOT NULL,
type INT NOT NULL
);
CREATE TABLE usergreenhouse (
user_id INT,
grnhs_id INT,
FOREIGN KEY (user_id)
REFERENCES user(id),
FOREIGN KEY (grnhs_id)
REFERENCES greenhouse(id)
);
|
/*
select * from y_syuka
where KEY_ID_NO in (select distinct idno from HMTAH015)
and LK_SEQ_NO <> ''
complt.sql
pvddl newsdc complt.sql -server w3
*/
update y_syuka
set LK_SEQ_NO = ''
,UPD_NOW = left(replace(replace(replace(convert(now(),sql_char),'-',''),':',''),' ',''),14)
where KEY_ID_NO in (select distinct idno from HMTAH015) and LK_SEQ_NO <> ''
|
SELECT TOP 1000 *
FROM Multipass.dbo.IssuedUser
WHERE EmailAddress LIKE 'jontestqa+%'
SELECT TOP 1000 *
FROM Multipass.dbo.IssuedUser
WHERE EmailAddress = 'jontestqa1031121240@gspctest.fav.cc'
SELECT TOP 1000 EmailAddress, LastLoginAttempt, LoginAttemptCount, CreatedDate, LockedForLogin
FROM Multipass.dbo.IssuedUser
WHERE EmailAddress = 'jontestqa1031121310@gspctest.fav.cc' |
INSERT INTO users (id, user_name, is_admin) VALUES
(nextval('hibernate_sequence'), 'vmms', TRUE),
(nextval('hibernate_sequence'), 'admin', TRUE),
(nextval('hibernate_sequence'), 'gonzo', FALSE),
(nextval('hibernate_sequence'), 'gringo', FALSE);
|
create table taxonomy (
id integer not null primary key,
parent_taxonomy_id integer not null, -- Absolute root is 1
name text not null,
rank text
);
comment on column taxonomy.id is 'Actual NCBI taxonomy id - not auto generated by the database';
comment on column taxonomy.parent_taxonomy_id is 'parent taxonomy id';
comment on column taxonomy.rank is 'null if no rank is defined';
create index on taxonomy(parent_taxonomy_id);
-- MIGRATION DOWN SQL
drop table taxonomy;
|
/************************************************************************
@file GetCohorts.sql
Copyright 2016 Observational Health Data Sciences and Informatics
This file is part of PatientLevelPrediction
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.
************************************************************************/
{DEFAULT @cdm_database = 'CDM4_SIM' }
{DEFAULT @cohort_database_schema = 'CDM4_SIM' }
{DEFAULT @cohort_table = 'cohort' }
{DEFAULT @cohort_ids = '0,1' }
{DEFAULT @washout_window = 183 }
{DEFAULT @cdm_version == '4'}
{DEFAULT @cohort_definition_id = 'cohort_concept_id'}
{DEFAULT @use_cohort_end_date = TRUE}
{DEFAULT @window_persistence = 0}
USE @cdm_database;
IF OBJECT_ID('tempdb..#cohort_person', 'U') IS NOT NULL
DROP TABLE #cohort_person;
SELECT ROW_NUMBER() OVER (ORDER BY subject_id, cohort_start_date) AS row_id,
@cohort_definition_id,
subject_id,
cohort_start_date,
cohort_end_date
INTO #cohort_person
FROM (
SELECT DISTINCT @cohort_definition_id,
subject_id,
cohort_start_date,
{@use_cohort_end_date} ? {
CASE
WHEN DATEADD(DAY, @window_persistence, cohort_end_date) > observation_period_end_date THEN observation_period_end_date
ELSE DATEADD(DAY, @window_persistence, cohort_end_date)
END AS cohort_end_date
} : {
CASE
WHEN DATEADD(DAY, @window_persistence, cohort_start_date) > observation_period_end_date THEN observation_period_end_date
ELSE DATEADD(DAY, @window_persistence, cohort_start_date)
END AS cohort_end_date
}
FROM @cohort_database_schema.@cohort_table cohort
INNER JOIN observation_period
ON cohort.subject_id = observation_period.person_id
WHERE cohort_start_date >= observation_period_start_date
AND cohort_start_date <= observation_period_end_date
{@cohort_concept_ids != ''} ? {
AND @cohort_definition_id IN (@cohort_ids)
}
AND cohort_start_date >= DATEADD(DAY, @washout_window, observation_period_start_date)
) unique_periods
;
|
-- phpMyAdmin SQL Dump
-- version 3.5.7
-- http://www.phpmyadmin.net
--
-- Host: localhost
-- Generation Time: Oct 06, 2013 at 11:44 PM
-- Server version: 5.5.29
-- PHP Version: 5.4.10
SET SQL_MODE="NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
--
-- Database: `mysql`
--
-- --------------------------------------------------------
--
-- Table structure for table `bookMembers`
--
CREATE TABLE `bookMembers` (
`id` varchar(4) NOT NULL,
`name` varchar(65) NOT NULL,
`lastname` varchar(65) NOT NULL,
`email` varchar(65) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1; |
insert into app_user(id,name,username,password) values (1,'2pack','admin','admin');
insert into app_user(id,name,username,password) values (2,'julia','user','user');
insert into app_user_roles(app_user_id,roles) values (1,'ADMIN');
insert into app_user_roles(app_user_id,roles) values (2,'USER');
insert into app_user_roles(app_user_id,roles) values (2,'USER');
|
ALTER TABLE PLAN
ADD COLUMN DESCUENTO DOUBLE NOT NULL AFTER MONTO;
|
-- In root user
USE stock_dev;
DROP TABLE IF EXISTS role;
CREATE TABLE role (role_id INT NOT NULL AUTO_INCREMENT, role_name VARCHAR(255),PRIMARY KEY (role_id)) engine=InnoDB;
DROP TABLE IF EXISTS stock;
CREATE TABLE stock (stock_id INT NOT NULL AUTO_INCREMENT, stock_ask_price DOUBLE, stock_bid_price DOUBLE, stock_name VARCHAR(255), stock_symbol VARCHAR(255),PRIMARY KEY (stock_id)) engine=InnoDB;
DROP TABLE IF EXISTS user;
CREATE TABLE user (user_id INT NOT NULL AUTO_INCREMENT, user_name VARCHAR(255),password VARCHAR(255),PRIMARY KEY (user_id)) engine=InnoDB;
DROP TABLE IF EXISTS user_role;
CREATE TABLE user_role (user_id INT NOT NULL, role_id INT NOT NULL) engine=InnoDB;
DROP TABLE IF EXISTS user_stock;
CREATE TABLE user_stock (user_id INT NOT NULL, stock_id INT NOT NULL) engine=InnoDB;
ALTER TABLE user_role ADD CONSTRAINT pk_user_role PRIMARY KEY(user_id, role_id);
ALTER TABLE user_role ADD CONSTRAINT fk_user_role_to_role FOREIGN KEY(role_id) REFERENCES role(role_id);
ALTER TABLE user_role ADD CONSTRAINT fk_user_role_to_user FOREIGN KEY(user_id) REFERENCES user(user_id);
ALTER TABLE user_stock ADD CONSTRAINT pk_user_stock PRIMARY KEY(user_id, stock_id);
ALTER TABLE user_stock ADD CONSTRAINT fk_user_stock_to_stock FOREIGN KEY(stock_id) REFERENCES stock(stock_id);
ALTER TABLE user_stock ADD CONSTRAINT fk_user_stock_to_user FOREIGN KEY(user_id) REFERENCES user(user_id);
|
/* Records Guildhouse CharDB */
CREATE TABLE IF NOT EXISTS `guildhouses` (
`id` int(16) unsigned NOT NULL AUTO_INCREMENT,
`guildId` bigint(20) NOT NULL DEFAULT '0',
`x` double NOT NULL,
`y` double NOT NULL,
`z` double NOT NULL,
`map` int(16) NOT NULL,
`comment` varchar(255) NOT NULL DEFAULT '',
`price` bigint(20) NOT NULL DEFAULT '1000000000',
`faction` int(8) unsigned NOT NULL DEFAULT '3',
`minguildsize` int(16) unsigned NOT NULL DEFAULT '10',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC AUTO_INCREMENT=45 ;
INSERT INTO `guildhouses` (`id`, `guildId`, `x`, `y`, `z`, `map`, `comment`, `price`, `faction`, `minguildsize`) VALUES
(1, 0, 16222, 16266, 14.2, 1, 'GM Island', 100000, 3, 10),
(2, 0, -10711, 2483, 8, 1, 'Tauren village at Veiled Sea (Silithus)', 100000, 3, 10),
(3, 0, -8323, -343, 146, 0, 'Fishing outside an Northshire Abbey (Elwynn Forest', 100000, 3, 10),
(4, 0, 7368, -1560, 163, 1, 'Troll Village in mountains (Darkshore)', 100000, 3, 10),
(5, 0, -4151, -1400, 198, 0, 'Dwarven village outside Ironforge (Wetlands)', 100000, 3, 10),
(6, 0, -1840, -4233, 2.14, 0, 'Dwarven village (Arathi Highlands, Forbidding Sea)', 100000, 3, 10),
(8, 0, -723, -1076, 179, 1, 'Tauren camp (Mulgore, Red Rock)', 100000, 3, 10),
(9, 0, -206, 1666, 80, 0, 'Shadowfang Keep an outside instance (Silverpine Forest)', 100000, 3, 10),
(10, 0, -6374, 1262, 7, 0, 'Harbor house outside Stormwind (Elwynn Forest)', 100000, 3, 10),
(11, 0, -8640, 580, 96, 0, 'Empty jail between canals (Stormwind)', 100000, 3, 10),
(12, 0, -4816.412109, -1034.189209, 438.683197, 0, 'Old Ironforge', 100000, 3, 10),
(13, 0, -4863, -1658, 503.5, 0, 'Ironforge Airport', 100000, 3, 10),
(14, 0, 1000.690979, 280.001831, 326.399261, 37, 'Azshara Crater instance (Alliance entrance)', 100000, 3, 10),
(15, 0, 155.683334, 979.87085, 294.492493, 37, 'Azshara Crater instance (Horde entrance)', 100000, 3, 10),
(16, 0, 4303, -2760, 16.8, 0, 'Quel''Thalas Tower', 100000, 3, 10),
(17, 0, -6161, -790, 423, 0, 'Crashed gnome airplane (between Dun Morogh and Searing Gorge)', 100000, 3, 10),
(18, 0, -12284.614258, -1906.966187, 130.26918, 0, 'Zul''Gurub an outside instance (Stranglethorn Vale)', 100000, 3, 10),
(19, 0, -11805, -4754, 6, 1, 'Goblin village (Tanaris, South Seas)', 100000, 3, 10),
(20, 0, -9296, 670, 132, 0, 'Villains camp outside an Stormwind (Elwynn Forest)', 100000, 3, 10),
(21, 0, 3414, -3380, 142.2, 0, 'Stratholm an outside instance', 100000, 3, 10),
(22, 0, 4654, -3772, 944, 1, 'Kalimdor Hyjal (Aka World Tree)', 100000, 3, 10),
(23, 0, 2176, -4766, 55, 1, 'The Ring of Valor (Aka. Orgrimmar Arena)', 100000, 3, 10),
(24, 0, 1951.512085, 1530.475586, 247.288147, 1, 'Stonetalon Logging Camp', 100000, 3, 10),
(25, 0, 2813.660645, 2248.552979, 215.524643, 1, 'Stonetalon Ruins', 100000, 3, 10),
(28, 0, 9725.27, -21.43, 20.03, 1, 'Teldrassil Furbold camp', 100000, 3, 10),
(29, 0, -3855, -3479, 579, 0, 'Wetlands mountain camp', 100000, 3, 10),
(30, 0, -5362, -2540, 485, 0, 'Ortell''s Hideout', 100000, 3, 10),
(31, 0, -13014.662109, -1338.496582, 49.859623, 0, 'Stranglethorn Secret Cave', 100000, 3, 10),
(32, 0, -11073, -1956, 39, 0, 'Karazhan Smiley', 100000, 3, 10),
(33, 0, -11084, -1801, 53, 0, 'Well of the Forgotten (Aka. Karazhan Crypt or Lower Karazhan)', 100000, 3, 10),
(34, 0, 1683.235474, 286.458801, -45.451775, 0, 'Undercity Top Tier', 100000, 3, 10),
(35, 0, -8521.3, 599.5, 101.399338, 0, 'Stormwind Cut-Throat Alley', 100000, 3, 10),
(36, 0, -5894.116211, 657.518982, 489.253632, 0, 'Forgotten gnome camp', 100000, 3, 10),
(38, 0, -2140.501953, 9142.6875, 137.041855, 530, 'Outland Nagrand : Tomb', 100000, 3, 10),
(39, 0, -483.401794, 7461.944824, 186.120987, 530, 'Outland Nagrand: Challe''s Home for Little Tykes', 100000, 3, 10),
(40, 0, 2387.753906, 3191.757324, 152.669388, 530, 'Outland Netherstorm: Nova''s Shrine', 100000, 3, 10),
(42, 0, -8635.553711, -538.483826, 145.780624, 0, 'Wald von Elwynn', 100000, 3, 10),
(43, 0, 7368, -1560, 163, 1, 'Troll Village in mountains 2 (Darkshore)', 100000, 3, 10);
CREATE TABLE IF NOT EXISTS `guildhouses_add` (
`guid` int(32) unsigned NOT NULL,
`type` int(16) unsigned NOT NULL,
`id` int(16) unsigned NOT NULL,
`add_type` int(16) unsigned NOT NULL,
`comment` varchar(255) NOT NULL DEFAULT '',
PRIMARY KEY (`guid`,`type`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC;
CREATE TABLE IF NOT EXISTS `guildhouses_addtype` (
`add_type` int(16) unsigned NOT NULL,
`comment` varchar(255) NOT NULL DEFAULT '',
`price` bigint(20) NOT NULL DEFAULT '1000',
`minguildsize` int(16) unsigned NOT NULL DEFAULT '1',
PRIMARY KEY (`add_type`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC;
CREATE TABLE IF NOT EXISTS `gh_guildadd` (
`guildId` int(32) unsigned NOT NULL,
`GuildHouse_Add` int(32) unsigned NOT NULL,
PRIMARY KEY (`guildId`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC; |
USE FirstDb;
SELECT *
FROM States
WHERE Code = 'CA'
OR Code = 'TX'
OR Code = 'NY';
SELECT *
FROM States
WHERE Code IN ('CA', 'TX', 'NY')
SELECT *
FROM States
WHERE CapitalCity LIKE '%ville'
OR LargestCity LIKE '%ville';
SELECT *
FROM States
WHERE Population >= 10000000;
SELECT *
FROM States
WHERE Population BETWEEN 1000000 AND 2000000; |
DROP TABLE IF EXISTS users_messages; |
-- sitemap.xml
SELECT CONCAT('<url><loc>http://xt.ua/', REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(translit, '&', '&'), '\'', '''), '"', '"'), '<', '>'), '>', '<'), '.html</loc></url>') AS url FROM xt_product WHERE indexation = 1
UNION
SELECT CONCAT('<url><loc>http://xt.ua/news/', REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(translit, '&', '&'), '\'', '''), '"', '"'), '<', '>'), '>', '<'), '/</loc><priority>0.9</priority></url>') AS url FROM xt_news WHERE indexation = 1 AND sid = 1
UNION
SELECT CONCAT('<url><loc>http://xt.ua/page/', REPLACE(REPLACE(REPLACE(REPLACE(REPLACE(translit, '&', '&'), '\'', '''), '"', '"'), '<', '>'), '>', '<'), '/</loc><priority>0.8</priority></url>') AS url FROM xt_page WHERE indexation = 1 AND xt = 1;
-- uncategorised products
SELECT p.id_product, p.art, p.name, p.translit, CONCAT('http://xt.ua/adm/productedit/', p.id_product) AS editlink
FROM xt_product AS p
where (p.price_mopt > 0 OR p.price_opt > 0)
AND p.visible = 1
AND p.id_product IN (SELECT a.id_product FROM xt_assortiment AS a WHERE a.active = 1)
AND p.id_product not in (
select cp.id_product
from xt_cat_prod as cp
LEFT JOIN xt_category AS c
ON c.id_category = cp.id_category
WHERE c.sid = 1);
|
-- phpMyAdmin SQL Dump
-- version 4.4.12
-- http://www.phpmyadmin.net
--
-- Host: 127.0.0.1
-- Generation Time: 01 Feb 2018 pada 04.47
-- Versi Server: 5.6.25
-- PHP Version: 5.6.11
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: `db_toko`
--
-- --------------------------------------------------------
--
-- Struktur dari tabel `tbl_barang`
--
CREATE TABLE IF NOT EXISTS `tbl_barang` (
`kd_barang` int(20) NOT NULL,
`deskripsi_barang` text NOT NULL,
`spesifikasi_barang` text NOT NULL,
`stock` varchar(10) NOT NULL,
`hrg_modal` decimal(20,0) NOT NULL,
`hrg_jual` decimal(20,0) NOT NULL,
`diskon` varchar(10) NOT NULL,
`status` varchar(2) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data untuk tabel `tbl_barang`
--
INSERT INTO `tbl_barang` (`kd_barang`, `deskripsi_barang`, `spesifikasi_barang`, `stock`, `hrg_modal`, `hrg_jual`, `diskon`, `status`) VALUES
(1, 'PRINTER', 'BISA NGEPRINT', '100', '10000', '9000', '', '1');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `tbl_barang`
--
ALTER TABLE `tbl_barang`
ADD PRIMARY KEY (`kd_barang`);
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
create or replace package UMS_Package as
procedure update_student_contact_info(
new_reg_no IN varchar,
new_e_mail in varchar,
new_phone_number in number);
procedure getName(
first_letter in char
);
function getAge(new_reg_no in varchar) return number;
function getPass(new_reg_no in varchar) return number;
end UMS_Package;
create or replace package body UMS_Package as
procedure update_student_contact_info(
new_reg_no IN varchar,
new_e_mail in varchar,
new_phone_number in number)
as
begin
update students
set
e_mail = new_e_mail,
phone_no = new_phone_number
where
students.s_id =
(select students.S_ID from students join student_courses on students.s_id = student_courses.s_id
where new_reg_no = reg_no);
end;
procedure getName(first_letter in char)
as
cursor names_cur is
select first_name,last_name,phone_no
from students
where first_name like first_letter||'%';
names_t names_cur%ROWTYPE;
TYPE names_ntt IS TABLE OF names_t%TYPE; -- must use type
student_contact names_ntt;
BEGIN
open names_cur;
fetch names_cur bulk collect into student_contact;
close names_cur;
for i in 1..student_contact.count
loop
DBMS_OUTPUT.put_line(student_contact(i).first_name ||' ' ||
student_contact(i).last_name ||' ' ||student_contact(i).phone_no);
end loop;
end;
function getAge(new_reg_no varchar) return number
as
age number;
begin
select Round((sysdate - students.DATE_OF_BIRTH)/365.25) into age
from students join student_courses on students.s_id = student_courses.s_id
where new_reg_no = reg_no;
DBMS_OUTPUT.put_line(age);
return age;
end;
function getPass(new_reg_no varchar) return number
as
passYear number;
begin
select floor((months_between(sysdate , students.DATE_OF_PASSING_12))/12) into passYear
from students join student_courses on students.s_id = student_courses.s_id
where new_reg_no = reg_no;
DBMS_OUTPUT.put_line(passYear);
return passYear;
end;
end ums_package;
BEGIN
UMS_PACKAGE.UPDATE_STUDENT_CONTACT_INFO('r1003', 'flsaflsa@gmail.com',5832785);
END;
BEGIN
UMS_PACKAGE.GETNAME('R');
END;
DECLARE
STUDENT_AGE NUMBER;
BEGIN
STUDENT_AGE := UMS_PACKAGE.GETAGE('r1003');
END;
DECLARE
YEARSPASSED NUMBER;
BEGIN
YEARSPASSED := UMS_PACKAGE.GETPASS('r1003');
END;
|
TRUNCATE TABLE AP_AUTO_APRV_EXCL_T DROP STORAGE
/
INSERT INTO AP_AUTO_APRV_EXCL_T (FIN_COA_CD,ACCOUNT_NBR,OBJ_ID,VER_NBR,DOBJ_MAINT_CD_ACTV_IND)
VALUES ('BA','9019995','E78D2BB6-37F9-ADA4-997D-75960D74D176',6.0,'Y')
/
INSERT INTO AP_AUTO_APRV_EXCL_T (FIN_COA_CD,ACCOUNT_NBR,OBJ_ID,VER_NBR,DOBJ_MAINT_CD_ACTV_IND)
VALUES ('BA','9020174','AF12F067-50ED-B0C4-F5AE-5BB3A063C8EB',12.0,'Y')
/
INSERT INTO AP_AUTO_APRV_EXCL_T (FIN_COA_CD,ACCOUNT_NBR,OBJ_ID,VER_NBR,DOBJ_MAINT_CD_ACTV_IND)
VALUES ('BA','9020175','83EB46D6-6CB0-0003-6234-2F1DA8ECD209',12.0,'Y')
/
INSERT INTO AP_AUTO_APRV_EXCL_T (FIN_COA_CD,ACCOUNT_NBR,OBJ_ID,VER_NBR,DOBJ_MAINT_CD_ACTV_IND)
VALUES ('BA','9020204','158DA559-0A9B-2F0B-9C7E-7F21DC2B8757',8.0,'Y')
/
INSERT INTO AP_AUTO_APRV_EXCL_T (FIN_COA_CD,ACCOUNT_NBR,OBJ_ID,VER_NBR,DOBJ_MAINT_CD_ACTV_IND)
VALUES ('BA','9020857','CE862B59-1EEB-A253-D089-AD9449F0880A',17.0,'Y')
/
INSERT INTO AP_AUTO_APRV_EXCL_T (FIN_COA_CD,ACCOUNT_NBR,OBJ_ID,VER_NBR,DOBJ_MAINT_CD_ACTV_IND)
VALUES ('BA','9021004','9A0B7814-EA28-3A5B-278A-D909C5DA4F0E',14.0,'Y')
/
|
CREATE TABLE `user` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT 'id',
`username` varchar(50) NOT NULL COMMENT '用户名称',
`age` int(3) DEFAULT '22' COMMENT '年龄',
`sex` varchar(20) DEFAULT '男' COMMENT '性别',
`birthday` timestamp NULL DEFAULT NULL ON UPDATE CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=26 DEFAULT CHARSET=utf8 COMMENT='用户表';
INSERT INTO `user` VALUES ('1', 'xh', '22', '男', '2018-04-28 14:17:25');
INSERT INTO `user` VALUES ('2', 'xs', '25', '女', '2018-04-28 14:19:41');
INSERT INTO `user` VALUES ('3', 'zst', '21', '女', '2005-06-15 14:18:22');
INSERT INTO `user` VALUES ('4', 'lt', '19', '女', '2018-04-28 14:19:36');
INSERT INTO `user` VALUES ('5', '小明', '17', '男', '2013-10-23 14:19:42');
INSERT INTO `user` VALUES ('6', 'root', '22', '男', '2016-07-21 14:21:02');
INSERT INTO `user` VALUES ('7', 'Alice', '22', '女', '2018-04-28 14:29:21');
INSERT INTO `user` VALUES ('8', 'Cindy', '25', '男', '2018-04-28 14:29:55');
INSERT INTO `user` VALUES ('9', 'Eaton', '22', '男', '2015-01-21 14:23:04');
INSERT INTO `user` VALUES ('10', 'Natalie', '16', '女', '2018-04-28 14:29:58');
INSERT INTO `user` VALUES ('11', 'Queenie', '26', '女', '2018-04-28 14:30:01');
INSERT INTO `user` VALUES ('12', 'Sample', '31', '男', '2018-04-28 14:30:04');
INSERT INTO `user` VALUES ('13', 'Sean', '34', '男', '2018-04-28 14:30:07');
INSERT INTO `user` VALUES ('14', 'Fanny', '27', '女', '2018-04-28 14:30:10');
INSERT INTO `user` VALUES ('15', 'Garland', '33', '男', '2018-04-28 14:30:12');
INSERT INTO `user` VALUES ('16', 'Tanya', '23', '女', '2018-04-28 14:30:15');
INSERT INTO `user` VALUES ('17', 'Tommy', '37', '男', '2018-04-28 14:30:19');
INSERT INTO `user` VALUES ('18', 'Tuttle', '31', '女', '2018-04-28 14:30:22');
INSERT INTO `user` VALUES ('19', 'Xavier', '28', '女', '2018-04-28 14:30:25');
INSERT INTO `user` VALUES ('20', 'Xenia', '21', '女', '2018-04-28 14:30:28');
INSERT INTO `user` VALUES ('21', 'Yvette', '22', '男', '2018-04-18 14:27:31');
INSERT INTO `user` VALUES ('22', 'Walter', '26', '男', '2018-04-28 14:30:32');
INSERT INTO `user` VALUES ('23', 'Haines', '18', '女', '2018-04-28 14:30:35');
INSERT INTO `user` VALUES ('24', 'Hackett', '19', '男', '2018-04-28 14:30:40');
INSERT INTO `user` VALUES ('25', 'Hamlin', '22', '男', '2018-04-18 14:29:01');
|
-- MySqlBackup.NET 2.0.1
-- Dump Time: 2013-12-29 10:53:00
-- --------------------------------------
-- Server version 5.6.15 MySQL Community Server (GPL)
/*!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 */;
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/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
--
-- Definition of tablequizes
--
DROP TABLE IF EXISTS `tablequizes`;
CREATE TABLE IF NOT EXISTS `tablequizes` (
`id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
`enunt` varchar(255) NOT NULL,
`answer_first` varchar(255) NOT NULL,
`answer_second` varchar(255) NOT NULL,
`answer_third` varchar(255) NOT NULL,
`materie` varchar(255) NOT NULL,
`capitol` varchar(255) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `enunt` (`enunt`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8;
--
-- Dumping data for table tablequizes
--
/*!40000 ALTER TABLE `tablequizes` DISABLE KEYS */;
INSERT INTO `tablequizes`(`id`,`enunt`,`answer_first`,`answer_second`,`answer_third`,`materie`,`capitol`) VALUES
(1,'asdf','b,nv,d','lndsklfn','knvdsjb','lbnkj','bkj'),
(2,'fsdn','hk;lbn','n ,.nb','k;jbkj.n','.nklnbk','lk');
/*!40000 ALTER TABLE `tablequizes` ENABLE KEYS */;
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
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/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
-- Dump completed on 2013-12-29 10:53:00
-- Total time: 0:0:0:0:124 (d:h:m:s:ms)
|
-- phpMyAdmin SQL Dump
-- version 5.1.0
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Apr 02, 2021 at 01:24 AM
-- Server version: 8.0.23
-- PHP Version: 8.0.3
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `bookstore`
--
CREATE DATABASE `bookstore`;
-- --------------------------------------------------------
--
-- Table structure for table `address`
--
CREATE TABLE `address` (
`addressID` int NOT NULL,
`street` varchar(45) DEFAULT NULL,
`state` varchar(45) DEFAULT NULL,
`zip` varchar(45) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Table structure for table `admin`
--
CREATE TABLE `admin` (
`adminID` int NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `admin`
--
INSERT INTO `admin` (`adminID`) VALUES
(1);
-- --------------------------------------------------------
--
-- Table structure for table `book`
--
CREATE TABLE `book` (
`isbn` bigint NOT NULL,
`category` varchar(45) DEFAULT NULL,
`authorName` varchar(45) DEFAULT NULL,
`title` varchar(64) CHARACTER SET utf8mb4 DEFAULT NULL,
`coverPic` varchar(45) DEFAULT NULL,
`edition` int DEFAULT NULL,
`publisher` varchar(45) DEFAULT NULL,
`publicationYear` date DEFAULT NULL,
`quantityInStock` int DEFAULT NULL,
`minimumThresh` int DEFAULT NULL,
`buyPrice` float DEFAULT NULL,
`sellPrice` float DEFAULT NULL,
`orderID` int DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `book`
--
INSERT INTO `book` (`isbn`, `category`, `authorName`, `title`, `coverPic`, `edition`, `publisher`, `publicationYear`, `quantityInStock`, `minimumThresh`, `buyPrice`, `sellPrice`, `orderID`) VALUES
(297829190, 'Nonfiction', 'Lansing, Alfred', 'Endurance: Shackletons Incredible Voyage to the Antarctic', NULL, 1, 'Weidenfeld and Nicolson', '1959-01-07', 7, 1, 6.99, 10.99, NULL),
(978006055, 'Nonfiction', 'Graham, Benjamin', 'Intelligent Investor, The', NULL, 4, 'HarperCollins', '1973-03-21', 15, 2, 7.99, 22.99, NULL),
(978037572, 'Nonfiction', 'Larson, Erik', 'Devil in the White City, The', 'TheDevilInTheWhiteCity', 1, 'Vintage', '2002-10-16', 20, 5, 7.99, 16, NULL),
(978043906, 'Fiction', 'Rowling, J.K.', 'Harry Potter and the Chamber of Secrets', 'HarryPotterAndTheChamberOfSecrets', 1, 'Bloomsbury', '1998-07-02', 50, 10, 6.99, 20.99, NULL),
(978043913, 'Fiction', 'Rowling, J.K.', 'Harry Potter and the Prisoner of Azkaban', NULL, 1, 'Bloomsbury', '1999-07-08', 50, 10, 6.99, 20.99, NULL),
(978043935, 'Fiction', 'Rowling, J.K.', 'Harry Potter and the Order of the Phoenix', NULL, 1, 'Bloomsbury', '2003-06-21', 50, 10, 7.99, 24.99, NULL),
(978045153, 'Fiction', 'Solzhenitsyn, Alexander', 'One Day in the Life of Ivan Denisovich', NULL, 2, 'Signet', '2012-03-05', 50, 10, 2, 5.95, NULL),
(978054513, 'Fiction', 'Rowling, J.K.', 'Harry Potter and the Deathly Hallows', NULL, 1, 'Bloomsbury', '2007-07-21', 50, 10, 7.99, 24.99, NULL),
(978059035, 'Fiction', 'Rowling, J.K.', 'Harry Potter and the Sorcerers Stone', NULL, 1, 'Bloomsbury', '1997-06-26', 50, 10, 6.99, 20.99, NULL),
(978067940, 'Memoir', 'Spiegelman, Art', 'Maus: The Complete Edition', NULL, 3, 'Pantheon', '1997-08-18', 25, 5, 10, 35, NULL),
(978080271, 'Nonfiction', 'Standage, Tom', 'History of the World in 6 Glasses, A', NULL, 1, 'Bloomsbury', '2005-05-21', 10, 1, 7.99, 15.95, NULL),
(978133829, 'Fiction', 'Rowling, J.K.', 'Harry Potter and the Half-Blood Prince', NULL, 1, 'Bloomsbury', '2005-07-16', 50, 10, 7.99, 24.99, NULL),
(978140005, 'Nonfiction', 'Skloot, Rebecca', 'Immortal Life of Henrietta Lacks, The', NULL, 1, 'Broadway', '2010-03-29', 5, 1, 7.99, 16, NULL),
(1760980900, 'Fiction', 'Campisi, Megan', 'Sin Eater', NULL, 1, 'Pan Macmillan UK', '2020-03-31', 15, 3, 7.99, 23.2, NULL),
(1785659782, 'Fantasy', 'Henry, Christina', 'Girl in Red, The', NULL, 1, 'Titan Books', '2019-06-18', 20, 5, 4.99, 11.99, NULL);
-- --------------------------------------------------------
--
-- Table structure for table `customer`
--
CREATE TABLE `customer` (
`customerID` int NOT NULL,
`cartContents` varchar(256) DEFAULT NULL,
`addressID` int DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Table structure for table `order`
--
CREATE TABLE `order` (
`orderID` int NOT NULL,
`custID` int DEFAULT NULL,
`payNumber` int DEFAULT NULL,
`paymentNumber` int DEFAULT NULL,
`orderDate` date DEFAULT NULL,
`orderTime` time DEFAULT NULL,
`orderStatus` varchar(45) DEFAULT NULL,
`totalPrice` float DEFAULT NULL,
`orderedBook` varchar(45) DEFAULT NULL,
`promoCode` int DEFAULT NULL,
`orderAddress` int DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Table structure for table `paymentmethod`
--
CREATE TABLE `paymentmethod` (
`cardNum` int NOT NULL,
`ownerID` int DEFAULT NULL,
`cardType` varchar(45) DEFAULT NULL,
`expirationDate` date DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Table structure for table `promotion`
--
CREATE TABLE `promotion` (
`promoCode` int NOT NULL,
`startDate` date DEFAULT NULL,
`percentage` float DEFAULT NULL,
`expireDate` date DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`userID` int NOT NULL,
`firstName` varchar(45) DEFAULT NULL,
`lastName` varchar(45) DEFAULT NULL,
`password` varchar(45) DEFAULT NULL,
`email` varchar(45) NOT NULL,
`street` varchar(64) DEFAULT NULL,
`city` varchar(64) DEFAULT NULL,
`state` varchar(64) DEFAULT NULL,
`cardNum` varchar(64) DEFAULT NULL,
`cvv` varchar(64) DEFAULT NULL,
`expMonth` varchar(2) NOT NULL,
`expYear` varchar(4) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Dumping data for table `users`
--
INSERT INTO `users` (`userID`, `firstName`, `lastName`, `password`, `email`, `street`, `city`, `state`, `cardNum`, `cvv`, `expMonth`, `expYear`) VALUES
(1, 'James', 'Conner', '987', 'jcon94@uga.edu', '100', 'Athens', 'WY', '1325322273686237', '', '12', '30'),
(2, 'Jon', 'Snow', 'blankstare', 'kingindanorf@idunwannit.com', NULL, NULL, NULL, NULL, NULL, '', ''),
(3, 'third', 'user', 'ilike3', 'big3@three.org', NULL, NULL, NULL, NULL, NULL, '', ''),
(4, 'Alastor', 'Moody', 'imactuallybartycrouch', 'bigeye@hogwarts.edu', NULL, NULL, NULL, NULL, NULL, '', ''),
(5, 'test', 'user', 'password', 'outofideas@dumb', NULL, NULL, NULL, NULL, NULL, '', ''),
(6, 'autoID', 'test', 'pass', 'please@work', NULL, NULL, NULL, NULL, NULL, '', ''),
(7, 'newattributes', 'test', 'passw', 'test@test.org', '123 ad dr', 'cityville', 'AL', '1234123412341234', '666', '', ''),
(8, 'test', 'person', 'Pass', 'emai', 'street', 'city', 'AR', '5454554545545454545', '564', '03', '23');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `address`
--
ALTER TABLE `address`
ADD PRIMARY KEY (`addressID`);
--
-- Indexes for table `admin`
--
ALTER TABLE `admin`
ADD PRIMARY KEY (`adminID`);
--
-- Indexes for table `book`
--
ALTER TABLE `book`
ADD PRIMARY KEY (`isbn`),
ADD KEY `orderID_idx` (`orderID`);
--
-- Indexes for table `customer`
--
ALTER TABLE `customer`
ADD PRIMARY KEY (`customerID`),
ADD KEY `addressID_idx` (`addressID`);
--
-- Indexes for table `order`
--
ALTER TABLE `order`
ADD PRIMARY KEY (`orderID`),
ADD KEY `custID_idx` (`custID`),
ADD KEY `promoCode_idx` (`promoCode`),
ADD KEY `payNumber_idx` (`payNumber`),
ADD KEY `orderAddr_idx` (`orderAddress`);
--
-- Indexes for table `paymentmethod`
--
ALTER TABLE `paymentmethod`
ADD PRIMARY KEY (`cardNum`),
ADD KEY `custID_idx` (`ownerID`);
--
-- Indexes for table `promotion`
--
ALTER TABLE `promotion`
ADD PRIMARY KEY (`promoCode`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`userID`);
--
-- Constraints for dumped tables
--
--
-- Constraints for table `admin`
--
ALTER TABLE `admin`
ADD CONSTRAINT `adminId` FOREIGN KEY (`adminID`) REFERENCES `users` (`userID`);
--
-- Constraints for table `book`
--
ALTER TABLE `book`
ADD CONSTRAINT `orderID` FOREIGN KEY (`orderID`) REFERENCES `order` (`orderID`);
--
-- Constraints for table `customer`
--
ALTER TABLE `customer`
ADD CONSTRAINT `addressID` FOREIGN KEY (`addressID`) REFERENCES `address` (`addressID`),
ADD CONSTRAINT `customerID` FOREIGN KEY (`customerID`) REFERENCES `users` (`userID`);
--
-- Constraints for table `order`
--
ALTER TABLE `order`
ADD CONSTRAINT `custID` FOREIGN KEY (`custID`) REFERENCES `customer` (`customerID`),
ADD CONSTRAINT `orderAddr` FOREIGN KEY (`orderAddress`) REFERENCES `customer` (`addressID`),
ADD CONSTRAINT `payNumber` FOREIGN KEY (`payNumber`) REFERENCES `paymentmethod` (`cardNum`),
ADD CONSTRAINT `promoCode` FOREIGN KEY (`promoCode`) REFERENCES `promotion` (`promoCode`);
--
-- Constraints for table `paymentmethod`
--
ALTER TABLE `paymentmethod`
ADD CONSTRAINT `ownerID` FOREIGN KEY (`ownerID`) REFERENCES `customer` (`customerID`);
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
create database lrbsl_database;
use lrbsl_database;
|
-- drop INSTRUCTOR table in case already exists
;
drop table INSTRUCTOR
;
CREATE TABLE INSTRUCTOR
(ins_id INTEGER PRIMARY KEY NOT NULL,
lastname VARCHAR(15) NOT NULL,
firstname VARCHAR(15) NOT NULL,
city VARCHAR(15),
country CHAR(2)
)
;
INSERT INTO INSTRUCTOR
(ins_id, lastname, firstname, city, country)
VALUES
(1, 'Ahuja', 'Rav', 'Toronto', 'CA')
;
INSERT INTO INSTRUCTOR
(ins_id, lastname, firstname, city, country)
VALUES
(2, 'Chong', 'Raul', 'Toronto', 'CA'),
(3, 'Vasudevan', 'Hima', 'Chicago', 'US')
;
--Removed for download of table after all commands
--SELECT * FROM INSTRUCTOR
;
UPDATE INSTRUCTOR SET city='Markham' where ins_id=1
;
DELETE FROM INSTRUCTOR where ins_id=2
;
--added for download of table after all commands
;
SELECT * FROM INSTRUCTOR
;
|
-- phpMyAdmin SQL Dump
-- version 4.4.13.1deb1
-- http://www.phpmyadmin.net
--
-- Host: localhost
-- Generation Time: May 12, 2016 at 05:09 PM
-- Server version: 5.6.30-0ubuntu0.15.10.1
-- PHP Version: 5.6.11-1ubuntu3.3
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: `login_form`
--
-- --------------------------------------------------------
--
-- Table structure for table `city`
--
CREATE TABLE IF NOT EXISTS `city` (
`city_id` int(2) NOT NULL,
`city_name` varchar(30) NOT NULL,
`country` varchar(50) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `city`
--
INSERT INTO `city` (`city_id`, `city_name`, `country`) VALUES
(1, 'Colombo', 'Sri Lanka');
-- --------------------------------------------------------
--
-- Table structure for table `con_test`
--
CREATE TABLE IF NOT EXISTS `con_test` (
`a` char(1) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `group`
--
CREATE TABLE IF NOT EXISTS `group` (
`group_id` int(2) NOT NULL,
`group_name` varchar(50) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `group`
--
INSERT INTO `group` (`group_id`, `group_name`) VALUES
(1, 'administrator');
-- --------------------------------------------------------
--
-- Table structure for table `group_permission`
--
CREATE TABLE IF NOT EXISTS `group_permission` (
`groupgroup_id` int(2) NOT NULL,
`permissionpermission_id` int(5) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `LoginData`
--
CREATE TABLE IF NOT EXISTS `LoginData` (
`username` varchar(20) NOT NULL,
`password` varchar(20) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `LoginData`
--
INSERT INTO `LoginData` (`username`, `password`) VALUES
('root', 'root');
-- --------------------------------------------------------
--
-- Table structure for table `permission`
--
CREATE TABLE IF NOT EXISTS `permission` (
`permission_id` int(5) NOT NULL,
`permission_name` varchar(50) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `permission`
--
INSERT INTO `permission` (`permission_id`, `permission_name`) VALUES
(1, 'Add');
-- --------------------------------------------------------
--
-- Table structure for table `TranslateUsers`
--
CREATE TABLE IF NOT EXISTS `TranslateUsers` (
`fname` varchar(50) NOT NULL,
`lname` varchar(50) NOT NULL,
`dob` date NOT NULL,
`email` varchar(60) NOT NULL,
`country` enum('Sri Lanka','Japan','England','Korea','USA') NOT NULL,
`city` int(2) NOT NULL,
`phone` int(11) NOT NULL,
`username` varchar(20) NOT NULL,
`password` varchar(15) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `TranslateUsers`
--
INSERT INTO `TranslateUsers` (`fname`, `lname`, `dob`, `email`, `country`, `city`, `phone`, `username`, `password`) VALUES
('root', 'root', '0000-00-00', '', '', 0, 0, 'root', 'root');
-- --------------------------------------------------------
--
-- Table structure for table `user`
--
CREATE TABLE IF NOT EXISTS `user` (
`user_id` int(10) NOT NULL,
`fname` varchar(50) NOT NULL,
`lname` varchar(50) DEFAULT NULL,
`dob` date NOT NULL,
`email` varchar(60) NOT NULL,
`country` varchar(50) NOT NULL,
`city_id` int(2) NOT NULL,
`phone` int(11) NOT NULL,
`username` varchar(20) NOT NULL,
`password` varchar(15) NOT NULL,
`group_id` int(2) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT=13 DEFAULT CHARSET=latin1;
--
-- Dumping data for table `user`
--
INSERT INTO `user` (`user_id`, `fname`, `lname`, `dob`, `email`, `country`, `city_id`, `phone`, `username`, `password`, `group_id`) VALUES
(12, 'dev', 'din', '2016-05-19', 'din@gmail.com', 'Sri Lanka', 1, 567676, 'dineesha', '1234', 1);
-- --------------------------------------------------------
--
-- Table structure for table `user_group`
--
CREATE TABLE IF NOT EXISTS `user_group` (
`useruser_id` int(10) NOT NULL,
`groupgroup_id` int(2) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Indexes for dumped tables
--
--
-- Indexes for table `city`
--
ALTER TABLE `city`
ADD PRIMARY KEY (`city_id`),
ADD UNIQUE KEY `city_name` (`city_name`);
--
-- Indexes for table `group`
--
ALTER TABLE `group`
ADD PRIMARY KEY (`group_id`),
ADD UNIQUE KEY `group_name` (`group_name`);
--
-- Indexes for table `group_permission`
--
ALTER TABLE `group_permission`
ADD PRIMARY KEY (`groupgroup_id`,`permissionpermission_id`),
ADD KEY `permissionpermission_id` (`permissionpermission_id`);
--
-- Indexes for table `LoginData`
--
ALTER TABLE `LoginData`
ADD PRIMARY KEY (`username`);
--
-- Indexes for table `permission`
--
ALTER TABLE `permission`
ADD PRIMARY KEY (`permission_id`),
ADD UNIQUE KEY `permission_name` (`permission_name`);
--
-- Indexes for table `user`
--
ALTER TABLE `user`
ADD PRIMARY KEY (`user_id`),
ADD UNIQUE KEY `username` (`username`),
ADD KEY `city` (`city_id`);
--
-- Indexes for table `user_group`
--
ALTER TABLE `user_group`
ADD PRIMARY KEY (`useruser_id`,`groupgroup_id`),
ADD KEY `groupgroup_id` (`groupgroup_id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `city`
--
ALTER TABLE `city`
MODIFY `city_id` int(2) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `group`
--
ALTER TABLE `group`
MODIFY `group_id` int(2) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `permission`
--
ALTER TABLE `permission`
MODIFY `permission_id` int(5) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT for table `user`
--
ALTER TABLE `user`
MODIFY `user_id` int(10) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=13;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `group_permission`
--
ALTER TABLE `group_permission`
ADD CONSTRAINT `group_permission_ibfk_1` FOREIGN KEY (`groupgroup_id`) REFERENCES `group` (`group_id`),
ADD CONSTRAINT `permissionpermission_id` FOREIGN KEY (`permissionpermission_id`) REFERENCES `permission` (`permission_id`);
--
-- Constraints for table `user`
--
ALTER TABLE `user`
ADD CONSTRAINT `city` FOREIGN KEY (`city_id`) REFERENCES `city` (`city_id`);
--
-- Constraints for table `user_group`
--
ALTER TABLE `user_group`
ADD CONSTRAINT `groupgroup_id` FOREIGN KEY (`groupgroup_id`) REFERENCES `group` (`group_id`) ON UPDATE CASCADE,
ADD CONSTRAINT `useruser_id` FOREIGN KEY (`useruser_id`) REFERENCES `user` (`user_id`) 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 */;
|
alter table bonuses add column required_level bigint;
alter table bonuses add column required_amount bigint;
alter table bonuses add column required_repetition integer;
alter table bonuses add column required_time_unit character varying(50);
alter table bonuses add column required_recurring_time character varying(50);
alter table bonuses add column allowed_countries character varying(2000);
|
CREATE DATABASE VENDAS;
USE VENDAS;
CREATE TABLE PRODUTO(
CODPRODUTO INT PRIMARY KEY,
NOMEPRODUTO VARCHAR(20) NOT NULL,
PRECO DECIMAL(8,2) DEFAULT 10
);
CREATE TABLE NOTAFISCAL(
NUMERONOTA NUMERIC(10) PRIMARY KEY,
DATA DATE,
VALOR DECIMAL(10,2) DEFAULT 0
);
CREATE TABLE ITEMNOTA(
NUMERONOTA NUMERIC(10),
CODPRODUTO INT,
QUANT INT NOT NULL CHECK (QUANT>0),
PRIMARY KEY(NUMERONOTA,CODPRODUTO),
FOREIGN KEY(NUMERONOTA) REFERENCES NOTAFISCAL(NUMERONOTA),
FOREIGN KEY(CODPRODUTO) REFERENCES PRODUTO(CODPRODUTO)
);
/* ***** */
/* Reunir dados de item nota com notafiscal e produto */
select it.numnota, nf.data, it.codproduto, p.nomeproduto, p.preco, it.quant, p.preco*it.quant as subtotal from itemnota it, notafiscal nf, produto p where it.numnota = nf.numnota and it.codproduto = p.codproduto;
/* Calcular o valor de cada notafiscal */
select numnota, data, sum(subtotal) as total from v_tudo group by numnota;
create v_tudox as select it.numnota as 'nf', nf.data, it.codproduto as codigo, p.nomeproduto as produto, p.preco, it.quant, p.preco*it.quant as subtotal from itemnota it, notafiscal nf, produto p where it.numnota = nf.numnota and it.codproduto = p.codproduto;
select sum(subtotal) from v_tudox where produto = 'bis'; |
insert into user values (1, sysdate(), 'jeonghoon', 'pw1', 'ssn1');
insert into user values (2, sysdate(), 'jeonghoon', 'pw2', 'ssn2');
insert into user values (3, sysdate(), 'jeonghoon', 'pw3', 'ssn3'); |
CREATE OR REPLACE FUNCTION zerobyte.ARRAY_TIME_TO_ZEROBYTE(a ARRAY< TIME >)
AS (
ARRAY(
SELECT AS STRUCT
zerobyte.TIME_TO_ZEROBYTE(t) AS _
FROM
UNNEST(a) AS t WITH OFFSET AS o
ORDER BY o)
);
|
SELECT * FROM CIS_bdpm AS t1 INNER JOIN COMPO_bdpm AS t2 ON t1.cis=t2.cis WHERE t2.sub_nature='SA'
ALTER TABLE joined ADD normalized_longname text
UPDATE joined SET normalized_longname=REGEXP_REPLACE(LOWER(longname), '([+-]?[0-9]+),([0-9]+)', '$1.$2')
UPDATE joined SET normalized_longname=SUBSTRING_INDEX(normalized_longname,',',1) |
-----------------------------------------------
------- Blood Donation Database Project -------
----------- Author: Aleksei Volkov ------------
---------------- Group: Б05-932 ---------------
----------------- Spring 2021 -----------------
-- INSERT, SELECT, UPDATE and DELETE queries --
-----------------------------------------------
-- 1) View information about open transfusion requests equipped with basic patient information
select person_nm as "Имя Фамилия", gender_code as "Пол", bloodtype_code as "Группа крови", rhesus_flg as "Резус-фактор",
organization_nm as "Лечебное учреждение", request_dttm as "Время запроса"
from blood_donation.transfusion_request tr
inner join blood_donation.patient p
on p.patient_id = tr.patient_id and p.version_no = tr.version_no
inner join blood_donation.person p2
on p2.person_id = p.person_id
inner join blood_donation.hospital h
on h.hospital_id = p.hospital_id
inner join blood_donation.organization o
on o.organization_id = h.organization_id
where not satisfied_flg and now() between valid_from_dttm and valid_to_dttm;
-- 2) Let's now find matches for transfusion requests among blood units
-- For the sake of simplicity we will only consider full matches
-- In WHERE clause check that blood type does match and that both request is not satisfied and blood unit is available
-- We will output only minimal required information for us to implement a donation
select tr.*, bu.unit_id
from blood_donation.transfusion_request as tr
inner join blood_donation.patient p
on p.patient_id = tr.patient_id and p.version_no = tr.version_no
inner join blood_donation.person p2
on p2.person_id = p.person_id
inner join blood_donation.hospital h
on h.hospital_id = p.hospital_id
inner join blood_donation.hospital_x_bloodbank hxb
on h.hospital_id = hxb.hospital_id
inner join blood_donation.bloodbank b
on b.bloodbank_id = hxb.bloodbank_id
inner join blood_donation.blood_unit bu
on b.bloodbank_id = bu.bloodbank_id
inner join blood_donation.donor d
on d.donor_id = bu.donor_id
inner join blood_donation.person p3
on p3.person_id = d.person_id
where p3.bloodtype_code = p2.bloodtype_code and p3.rhesus_flg = p2.rhesus_flg and bu.available_flg and not tr.satisfied_flg
and now() between valid_from_dttm and valid_to_dttm;
-- Let's say a donation of blood unit 7 was assigned to the request with id 1 and valid_to_dttm = infty
-- Now we should update both tables
-- 3) Marking blood unit as used. Since table with blood units is SCD1, we will simply update the value:
update blood_donation.blood_unit
set available_flg = false
where unit_id = 7;
-- 4) We need to set the old value of the table to expired...
update blood_donation.transfusion_request
set valid_to_dttm = now()
where request_id = 1;
-- 5) ...and provide a new version that has satisfied_flg set to True
insert into blood_donation.transfusion_request (request_id, valid_from_dttm, valid_to_dttm, patient_id, version_no, request_dttm, satisfied_flg)
values (1, now(), 'infinity', 1, 1, '2021-04-07', true);
-- We can verify that everything is nice by reinvoking SELECT query No. 2. Now it shows only one possible transfusion
-- Let's say that a new person decided to become a donor, and now they want to make their first donation
-- 6) Insert the main information about the said person
insert into blood_donation.person (person_id, person_nm, gender_code, bloodtype_code, rhesus_flg, birth_dt)
values (default, 'Иван Иванов', 'male', 1, false, '1995-05-06');
-- View his ID since (I do not count this as part of the task):
select * from blood_donation.person
where person_nm = 'Иван Иванов';
-- 7) And now we will have to register them as a donor. We'll assume that he had his checkup today
insert into blood_donation.donor (donor_id, person_id, last_checkup_dt)
values (default, 11, now());
-- We need to know his donor id
select * from blood_donation.donor
where person_id = 11;
-- 8) Now he makes a donation. Let's add information about it into the system.
insert into blood_donation.blood_unit (donor_id, bloodbank_id, harvested_dttm, available_flg)
values (6, 3, now(), true);
-- Let's say that after a short period of time Ivan Ivanov joins a cult that fights against modern technology and he
-- wants to opt out of our information system. Fine, we'll delete all the information regarding him
-- 9) First delete information about transfusion. Who cares if the blood bag is gone?
delete from blood_donation.blood_unit
where donor_id = 6;
-- 10) Now delete information about him being a donor
delete from blood_donation.donor
where donor_id = 6;
-- 11) Finally, completely erase him from the system
delete from blood_donation.person
where person_id = 11;
-- And this is it. Thank you for your attention! |
PARAMETERS [@Campaña] Text (255),
[@VariedadID] Text (255);
SELECT FechaIngreso,
JabasGuarda,
KilosGuarda
FROM TB_VentaProceso
WHERE KilosGuarda>0
AND (VariedadID=[@VariedadID] OR [@VariedadID] IS NULL)
AND (Campaña=[@Campaña] OR [@Campaña] IS NULL); |
Select a.Award_ID, a.Award_Number, a.Sequence_Number
, a.Lead_Unit_Number
, a.Sponsor_Code
, a.Update_Timestamp
From Award a
Where a.Award_id in
( Select aa.Award_ID
From Award aa
Where aa.Award_id in (Select ac.Award_ID
from Award_Custom_Data ac
Where ac.Award_Number like '000000-%'
and ac.custom_attribute_id = 103 )
)
and a.Award_id not in
( Select t.Award_ID
From Award_Transaction_Summ_View t
Where t.Award_id in (Select acc.Award_ID
from Award_Custom_Data acc
Where acc.Award_Number like '000000-%'
and acc.custom_attribute_id = 103 )
AND t.Obligated_Change <> 0
)
Order by 6, 2, 1, 3 ;
|
-- select * from sanc where substr(dscd,3,5)='CVOSR' and unit like '%08%';
select
-- areacode, type, gdesig
--,unit
d5
,GDESIG
,DSCD
,sum(tot) ext,sum(san) san
, sum(case when substr(unit ,2,2) ='01' then tot else 0 end) ext_CHN
, sum(case when substr(unit ,2,2) ='01' then san else 0 end) san_CHN
, sum(case when substr(unit ,2,2) ='02' then tot else 0 end) ext_BLR
, sum(case when substr(unit ,2,2) ='02' then san else 0 end) san_BLR
, sum(case when substr(unit ,2,2) ='03' then tot else 0 end) ext_WAN
, sum(case when substr(unit ,2,2) ='03'then san else 0 end) san_WAN
, sum(case when substr(unit ,2,2) ='04' then tot else 0 end) ext_WNN
, sum(case when substr(unit ,2,2) ='04' then san else 0 end) san_WNN
, sum(case when substr(unit ,2,2) ='05' then tot else 0 end) ext_MAJ
, sum(case when substr(unit ,2,2) ='05' then san else 0 end) san_MAJ
, sum(case when substr(unit ,2,2) ='06' then tot else 0 end) ext_NGP
, sum(case when substr(unit ,2,2) ='06' then san else 0 end) san_NGP
, sum(case when substr(unit ,2,2) ='07' then tot else 0 end) ext_UMR
, sum(case when substr(unit ,2,2) ='07' then san else 0 end) san_UMR
, sum(case when substr(unit ,2,2) ='08' then tot else 0 end) ext_PKD
, sum(case when substr(unit ,2,2) ='08' then san else 0 end) san_PKD
, sum(case when substr(unit ,2,2) ='09' then tot else 0 end) ext_PEN
, sum(case when substr(unit ,2,2) ='09' then san else 0 end) san_PEN
, sum(case when substr(unit ,2,2) ='10' then tot else 0 end) ext_KAN
, sum(case when substr(unit ,2,2) ='10' then san else 0 end) san_KAN
from unit_dscd_ers where 1=1
--AND dscd like '%TPDVR'
-- and
and unit like '%AST'
-- and substr(dscd,3,5)<>'SCSEC'
-- and cadre ='XCD' and substr(dscd,3,5) not in ('OTGNZ','OTBDY','LGLIP','OTCOK' ,'OTLFO')
-- and substr(dscd,3,5) = 'OTGNZ' and type ='UG'
group by
--d5
D5 --,DSCD
order by d5 --,gcd |
/*Movies_Metadata*/
create table Movies_Metadata(
adult varchar(10),
belongs_to_collection varchar(190),
budget int,
genres varchar(270),
homepage varchar(250),
id int,
imdb_id varchar(10),
original_language varchar(10),
original_title varchar(110),
overview varchar(1000),
popularity varchar(10),
poster_path varchar(40),
production_companies varchar(1260),
production_countries varchar(1040),
release_date date,
revenue bigint,
runtime varchar(10),
spoken_languages varchar(770),
status varchar(20),
tagline varchar(300),
title varchar(110),
video varchar(10),
vote_average varchar(10),
vote_count int
);
Delete From Movies_Metadata Where id in(
With cte AS(
Select id, Row_Number() over(Partition By id) row_num
From Movies_Metadata)
Select id
From cte
Where row_num>1);
alter table Movies_Metadata
add primary key(id);
/*Credits*/
create table Credits(
casts text,
crew text,
id int
);
Delete From Credits Where id in(
With cte AS(
Select id, Row_Number() over (Partition By id) row_num
From Credits)
Select id
From cte
Where row_num>1);
alter table Credits
add primary key(id);
Delete From Credits
Where id Not in (Select id From Movies_Metadata);
Alter Table Credits
Add Foreign Key(id) References Movies_metadata(id);
/*Keywords*/
create table Keywords(
id int,
keywords text
);
Delete From Keywords Where id in(
With cte AS(
Select id, Row_Number() over (Partition By id) row_num
From Keywords)
Select id
From cte
Where row_num>1);
alter table Keywords
add primary key(id);
Delete From Keywords
Where id Not in (Select id From Movies_Metadata);
Alter Table Keywords
Add Foreign Key(id) References Movies_Metadata(id);
/*Links*/
create table Links(
movieId int,
imdbId int,
tmdbId int
);
Delete From Links Where movieId in(
With cte AS(
Select movieId, Row_Number() over (Partition By movieId) row_num
From Links)
Select movieId
From cte
Where row_num>1);
Delete From Links
Where tmdbId Not in (Select id From Movies_Metadata);
Delete From Links
Where tmdbId is null;
alter table Links
add primary key(tmdbId);
Alter Table Links
Add Foreign Key(tmdbId) References Movies_Metadata(id);
/*Ratings_Small*/
create table Ratings_Small(
userId int,
movieId int,
rating varchar(10),
timestamp int
);
alter table Ratings_Small
add primary key(userId,movieId);
Delete From Ratings_Small
Where movieId Not in (Select id From Movies_Metadata);
Alter Table Ratings_Small
Add Foreign Key(movieId) References Movies_Metadata(id);
/*copyMovies: Χρειάζεται για το μέρος Β*/
create table copyMovies as(
select regexp_split_to_table(genres,',') as genres,release_date,id
from movies_metadata);
delete from copymovies
where not genres like '%name%';
UPDATE copymovies SET genres = replace(genres::TEXT,']','');
UPDATE copymovies SET genres = replace(genres::TEXT,'}','');
UPDATE copymovies SET genres = replace(genres::TEXT,':','');
UPDATE copymovies SET genres = replace(genres::TEXT,'''','');
UPDATE copymovies SET genres = replace(genres::TEXT,'name','');
Alter Table copymovies
Add Foreign Key(id) References Movies_metadata(id); |
DELETE FROM
SCORING_CARD_TEMP
WHERE
SEQ_NO = /*sessionId*/'' |
-- phpMyAdmin SQL Dump
-- version 5.0.4
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Jan 04, 2021 at 01:54 PM
-- Server version: 10.4.17-MariaDB
-- PHP Version: 7.4.13
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `gucci_shop`
--
-- --------------------------------------------------------
--
-- Table structure for table `categories`
--
CREATE TABLE `categories` (
`id` bigint(20) UNSIGNED NOT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`photo` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `categories`
--
INSERT INTO `categories` (`id`, `name`, `photo`, `created_at`, `updated_at`) VALUES
(5, 'BAGS', '/storage/categoryimg/1609409891_bg5.jpg', '2020-12-30 21:18:12', '2020-12-30 21:18:12'),
(6, 'Wallets', '/storage/categoryimg/1609410291_wallet.jpg', '2020-12-30 21:24:51', '2020-12-30 21:24:51'),
(7, 'minibags', '/storage/categoryimg/1609410312_minibag.jpg', '2020-12-30 21:25:12', '2020-12-30 21:25:12'),
(8, 'backpacks', '/storage/categoryimg/1609410329_backpack1.jpg', '2020-12-30 21:25:29', '2020-12-30 21:25:29'),
(9, 'travel bags', '/storage/categoryimg/1609410351_travelbag.jpg', '2020-12-30 21:25:51', '2020-12-30 21:25:51'),
(10, 'glasses', '/storage/categoryimg/1609410389_mglasses.jpg', '2020-12-30 21:26:29', '2020-12-30 21:26:29'),
(11, 'jewellery', '/storage/categoryimg/1609410449_jewellery.jpg', '2020-12-30 21:27:29', '2020-12-30 21:27:29'),
(12, 'tshirt', '/storage/categoryimg/1609410481_tshirt.jpg', '2020-12-30 21:28:01', '2020-12-30 21:28:01'),
(13, 'shirt', '/storage/categoryimg/1609410500_shirt4.jpg', '2020-12-30 21:28:20', '2020-12-30 21:28:20'),
(14, 'sweater', '/storage/categoryimg/1609410548_sweater1.jpg', '2020-12-30 21:29:08', '2020-12-30 21:29:08'),
(15, 'active wear', '/storage/categoryimg/1609410687_orangejacket.jpg', '2020-12-30 21:31:27', '2020-12-30 21:31:27'),
(16, 'pants&shorts', '/storage/categoryimg/1609410716_pnat.jpg', '2020-12-30 21:31:56', '2020-12-30 21:31:56'),
(17, 'socks', '/storage/categoryimg/1609410895_socks.jpg', '2020-12-30 21:34:55', '2020-12-30 21:34:55'),
(18, 'sneaker', '/storage/categoryimg/1609410920_sneaker1.jpg', '2020-12-30 21:35:20', '2020-12-30 21:35:20'),
(19, 'boots', '/storage/categoryimg/1609410936_boot.jpg', '2020-12-30 21:35:36', '2020-12-30 21:35:36'),
(20, 'slippers', '/storage/categoryimg/1609410976_slipper.jpg', '2020-12-30 21:36:16', '2020-12-30 21:36:16'),
(21, 'shoes', '/storage/categoryimg/1609411084_leather lace up.jpg', '2020-12-30 21:38:04', '2020-12-30 21:38:04'),
(22, 'pumps', '/storage/categoryimg/1609411140_leatherpump.jpg', '2020-12-30 21:39:00', '2020-12-30 21:39:00'),
(23, 'hats', '/storage/categoryimg/1609411179_hat7.jpg', '2020-12-30 21:39:39', '2020-12-30 21:39:39'),
(24, 'latest arrivals', '/storage/categoryimg/1609411260_latestproduct.jpg', '2020-12-30 21:41:00', '2020-12-30 21:41:00'),
(25, 'Mid Heel', '/storage/categoryimg/1609417437_midheel1.jpg', '2020-12-30 23:23:57', '2020-12-30 23:23:57'),
(26, 'platform', '/storage/categoryimg/1609417562_sandal.jpg', '2020-12-30 23:26:02', '2020-12-30 23:26:02'),
(27, 'Sandal', '/storage/categoryimg/1609417900_sandal3.jpg', '2020-12-30 23:31:40', '2020-12-30 23:31:40'),
(28, 'Ready To Wear', '/storage/categoryimg/1609739052_readytowear2.jpg', '2021-01-03 23:14:13', '2021-01-03 23:14:13'),
(29, 'Suit', '/storage/categoryimg/1609745784_suit.jpg', '2021-01-04 01:06:24', '2021-01-04 01:06:24'),
(30, 'Jacket', '/storage/categoryimg/1609745807_jacket1.jpg', '2021-01-04 01:06:47', '2021-01-04 01:06:47'),
(31, 'Hoodie', '/storage/categoryimg/1609746120_blackhoodiejpg.jpg', '2021-01-04 01:12:00', '2021-01-04 01:12:00');
-- --------------------------------------------------------
--
-- Table structure for table `failed_jobs`
--
CREATE TABLE `failed_jobs` (
`id` bigint(20) UNSIGNED NOT NULL,
`connection` text COLLATE utf8mb4_unicode_ci NOT NULL,
`queue` text COLLATE utf8mb4_unicode_ci NOT NULL,
`payload` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
`exception` longtext COLLATE utf8mb4_unicode_ci NOT NULL,
`failed_at` timestamp NOT NULL DEFAULT current_timestamp()
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `migrations`
--
CREATE TABLE `migrations` (
`id` int(10) UNSIGNED NOT NULL,
`migration` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`batch` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `migrations`
--
INSERT INTO `migrations` (`id`, `migration`, `batch`) VALUES
(1, '2014_10_12_000000_create_users_table', 1),
(2, '2014_10_12_100000_create_password_resets_table', 1),
(3, '2019_08_19_000000_create_failed_jobs_table', 1),
(4, '2020_12_27_040313_create_categories_table', 1),
(5, '2020_12_27_045300_create_products_table', 1),
(6, '2020_12_27_050158_create_orders_table', 1),
(7, '2020_12_27_052142_create_orderdetails_table', 1),
(8, '2021_01_02_150841_create_permission_tables', 2);
-- --------------------------------------------------------
--
-- Table structure for table `model_has_permissions`
--
CREATE TABLE `model_has_permissions` (
`permission_id` bigint(20) UNSIGNED NOT NULL,
`model_type` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`model_id` bigint(20) UNSIGNED NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `model_has_roles`
--
CREATE TABLE `model_has_roles` (
`role_id` bigint(20) UNSIGNED NOT NULL,
`model_type` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`model_id` bigint(20) UNSIGNED NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `model_has_roles`
--
INSERT INTO `model_has_roles` (`role_id`, `model_type`, `model_id`) VALUES
(1, 'App\\User', 1),
(2, 'App\\User', 2),
(2, 'App\\User', 3);
-- --------------------------------------------------------
--
-- Table structure for table `orderdetails`
--
CREATE TABLE `orderdetails` (
`id` bigint(20) UNSIGNED NOT NULL,
`product_id` bigint(20) UNSIGNED NOT NULL,
`order_id` bigint(20) UNSIGNED NOT NULL,
`qty` int(11) NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `orders`
--
CREATE TABLE `orders` (
`id` bigint(20) UNSIGNED NOT NULL,
`orderdate` date NOT NULL,
`user_id` bigint(20) UNSIGNED NOT NULL,
`total` int(11) NOT NULL,
`status` smallint(6) NOT NULL DEFAULT 0,
`orderno` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `password_resets`
--
CREATE TABLE `password_resets` (
`email` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`token` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `permissions`
--
CREATE TABLE `permissions` (
`id` bigint(20) UNSIGNED NOT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`guard_name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `products`
--
CREATE TABLE `products` (
`id` bigint(20) UNSIGNED NOT NULL,
`codeno` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`photo` text COLLATE utf8mb4_unicode_ci NOT NULL,
`price` int(11) NOT NULL,
`discount` int(11) NOT NULL,
`description` text COLLATE utf8mb4_unicode_ci NOT NULL,
`category_id` bigint(20) UNSIGNED NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `products`
--
INSERT INTO `products` (`id`, `codeno`, `name`, `photo`, `price`, `discount`, `description`, `category_id`, `created_at`, `updated_at`) VALUES
(3, '407293DKG001000', 'Leather Shoe', '/storage/productimg/1609414784_leather lace up.jpg', 1200000, 0, 'Black leather/ Made in Italy', 21, '2020-12-30 22:39:44', '2020-12-30 22:39:44'),
(4, '624663 CDZ00 2248', 'Leather Shoe', '/storage/productimg/1609415086_leather lace up1.jpg', 1100000, 0, 'Made in Italy', 21, '2020-12-30 22:44:46', '2020-12-30 22:44:46'),
(5, '625281 DS800 1000', 'Leather Shoe', '/storage/productimg/1609415202_leather lace up2.jpg', 950000, 0, 'Made in Italy', 21, '2020-12-30 22:46:42', '2020-12-30 22:46:42'),
(6, '643721 DTN90 1060', 'Leather Shoe', '/storage/productimg/1609415361_leather lace up3.jpg', 1090000, 0, 'Made in Italy', 21, '2020-12-30 22:49:21', '2020-12-30 22:49:21'),
(7, '625281 DS800 2000', 'Leather Shoe', '/storage/productimg/1609415752_leather lace up4.jpg', 1050000, 0, 'Made in Italy', 21, '2020-12-30 22:55:52', '2020-12-30 22:55:52'),
(8, '619891 99WG0 6060', 'sneaker', '/storage/productimg/1609415910_sneaker2.jpg', 1050000, 0, 'Made in Italy', 18, '2020-12-30 22:58:30', '2020-12-30 22:58:30'),
(9, '619891 99WG0 6061', 'sneaker', '/storage/productimg/1609415949_sneaker1.jpg', 1050000, 0, 'Made in Italy', 18, '2020-12-30 22:59:09', '2020-12-30 22:59:09'),
(10, '619891 99WG0 6062', 'sneaker', '/storage/productimg/1609416177_sneaker5.jpg', 1270000, 0, 'Made in Italy', 18, '2020-12-30 23:02:58', '2020-12-30 23:02:58'),
(11, '619891 99SG0 6069', 'Tennis Sneaker', '/storage/productimg/1609416612_tennisneaker2.jpg', 859000, 0, 'Made in Italy', 18, '2020-12-30 23:10:12', '2020-12-30 23:10:12'),
(12, '619891 99SG0 6088', 'Tennis Sneaker', '/storage/productimg/1609416671_tennissneaker.jpg', 859000, 0, 'Made in Italy', 18, '2020-12-30 23:11:11', '2020-12-30 23:11:11'),
(13, '619891 99TG0 6060', 'High Top Sneaker', '/storage/productimg/1609416754_hightopsneaker.jpg', 1200000, 0, 'Made in Italy', 18, '2020-12-30 23:12:34', '2020-12-30 23:12:34'),
(14, '619891 99TG0 6060', 'High Top Sneaker', '/storage/productimg/1609416799_hightopsneaker2.jpg', 1270000, 0, 'Made in Italy', 18, '2020-12-30 23:13:19', '2020-12-30 23:13:19'),
(15, '619891 99BG0 6060', 'Boot', '/storage/productimg/1609416947_boot.jpg', 1600000, 1500000, 'Made in Italy', 19, '2020-12-30 23:15:47', '2020-12-30 23:15:47'),
(16, '619891 99WG0 6069', 'Boot', '/storage/productimg/1609417038_boot2.jpg', 1300000, 0, 'Made in Italy', 19, '2020-12-30 23:17:18', '2020-12-30 23:17:18'),
(17, '619891 99WG0 6067', 'Boot', '/storage/productimg/1609417184_boot4.jpg', 2000000, 1950000, 'Made in Italy', 19, '2020-12-30 23:19:44', '2020-12-30 23:19:44'),
(18, '619891 99WG0 6063', 'Sandal', '/storage/productimg/1609417412_sandal.jpg', 1100000, 1000000, 'Made in Italy', 24, '2020-12-30 23:23:32', '2020-12-30 23:23:32'),
(19, '619891 99WG0 6064', 'Sandal', '/storage/productimg/1609417973_sandal5.jpg', 1181000, 1100000, 'Made in Italy', 27, '2020-12-30 23:32:53', '2020-12-30 23:32:53'),
(20, '619891 99WG0 6060', 'Sandal', '/storage/productimg/1609418036_sandal7.jpg', 1181000, 1100000, 'Made in Italy', 27, '2020-12-30 23:33:56', '2020-12-30 23:33:56'),
(21, '619891 99WG0 6062', 'Sandal', '/storage/productimg/1609418073_sandal3.jpg', 1181000, 0, 'Made in Italy', 27, '2020-12-30 23:34:33', '2020-12-30 23:34:33'),
(22, '619891 99WG0 6065', 'Leather Pump', '/storage/productimg/1609418239_leatherpump.jpg', 1100000, 1000000, 'Made in Italy', 22, '2020-12-30 23:37:19', '2020-12-30 23:37:19'),
(23, '619891 99WG0 6069', 'Platform', '/storage/productimg/1609418440_platform.jpg', 1470000, 0, 'Made in Italy', 26, '2020-12-30 23:40:40', '2020-12-30 23:40:40'),
(24, '619891 99WG0 6097', 'Platform', '/storage/productimg/1609418492_platformpump2.jpg', 1470000, 0, 'Made in Italy', 26, '2020-12-30 23:41:32', '2020-12-30 23:41:32'),
(25, '619891 99WG0 6070', 'Star Backpack', '/storage/productimg/1609418719_backpack.jpg', 1526000, 1520000, 'Made in Italy', 8, '2020-12-30 23:45:19', '2020-12-30 23:45:19'),
(26, '619891 99WG0 6071', 'Backpack', '/storage/productimg/1609418773_backpack.jpg', 1526000, 0, 'Made in Italy', 8, '2020-12-30 23:46:13', '2020-12-30 23:46:13'),
(27, '619891 99WG0 6071', 'mini round bag', '/storage/productimg/1609418894_minibag.jpg', 1854000, 1800000, 'Made in Italy', 7, '2020-12-30 23:48:14', '2020-12-30 23:48:14'),
(28, '625281 DS800 1300', 'mini bag', '/storage/productimg/1609419127_minibag1.jpg', 1394000, 0, 'Made in Italy', 7, '2020-12-30 23:52:07', '2020-12-30 23:52:07'),
(29, '625281 DS800 1100', 'mini top handle bag', '/storage/productimg/1609419200_bg5.jpg', 2700000, 0, 'Made in Italy', 7, '2020-12-30 23:53:20', '2020-12-30 23:53:20'),
(30, '625281 DS800 1004', 'mini bag', '/storage/productimg/1609419349_minibag2.jpg', 2700000, 2600000, 'Made in Italy', 7, '2020-12-30 23:55:49', '2020-12-30 23:55:49'),
(31, '625281 DS800 1004', 'Travel bag', '/storage/productimg/1609419581_travelbag.jpg', 2620000, 0, 'Made in Italy', 9, '2020-12-30 23:59:41', '2020-12-30 23:59:41'),
(32, '625281 DS800 1034', 'Grid Backpack', '/storage/productimg/1609419750_travelbag1.jpg', 2700000, 2600000, 'Made in Italy', 9, '2020-12-31 00:02:30', '2020-12-31 00:02:30'),
(33, '625281 DS800 1008', 'leather bag', '/storage/productimg/1609419847_travelbag2.jpg', 3303000, 0, 'Made in Italy', 9, '2020-12-31 00:04:07', '2020-12-31 00:04:07'),
(34, '625281 DS800 1045', 'grid mini bag', '/storage/productimg/1609419940_travelbag3.jpg', 1200000, 0, 'Made in Italy', 9, '2020-12-31 00:05:40', '2020-12-31 00:05:40'),
(35, '625281 DS800 1005', 'Medium tote bag', '/storage/productimg/1609421557_tote1.jpg', 2340000, 0, 'Made in Italy', 5, '2020-12-31 00:32:38', '2020-12-31 00:32:38'),
(36, '625281 DS800 1095', 'Medium tote bag', '/storage/productimg/1609421617_tote2.jpg', 2245000, 0, 'Made in Italy', 5, '2020-12-31 00:33:37', '2020-12-31 00:33:37'),
(37, '457095 X5L89 1948', 'T-Shirt', '/storage/productimg/1609513603_blackshirt.jpg', 789000, 780000, 'Made in Italy', 12, '2021-01-01 02:06:45', '2021-01-01 02:06:45'),
(38, '457095 X5L89 1945', 't-shirt', '/storage/productimg/1609513659_whiteshirt.jpg', 789000, 0, 'Made in Italy', 12, '2021-01-01 02:07:40', '2021-01-01 02:07:40'),
(39, '628412 XKBH9 2184', 'Ready To Wear', '/storage/productimg/1609739108_sweater.jpg', 2634000, 0, 'Made in Italy', 28, '2021-01-03 23:15:08', '2021-01-03 23:15:08'),
(40, '625351 XJCN3 4645', 'Ready To Wear', '/storage/productimg/1609742805_readytowear.jpg', 1500000, 0, 'Made in Italy', 28, '2021-01-04 00:16:45', '2021-01-04 00:16:45'),
(41, '625351 XJCN3 4643', 'Ready To Wear', '/storage/productimg/1609742858_readytowear3.jpg', 1460000, 0, 'Made in Italy', 28, '2021-01-04 00:17:38', '2021-01-04 00:17:38'),
(42, '200035 KQWBG 9791', 'Baseball hat', '/storage/productimg/1609743176_hat5.jpg', 512000, 0, 'Made in Italy', 23, '2021-01-04 00:22:56', '2021-01-04 00:22:56'),
(43, '200035 KQWBG 9792', 'Baseball hat', '/storage/productimg/1609743353_hat8.jpg', 512000, 0, 'Made in Italy', 23, '2021-01-04 00:25:53', '2021-01-04 00:25:53'),
(44, '200035 KQWBG 9795', 'hat', '/storage/productimg/1609743460_hat9.jpg', 819000, 0, 'Made in Italy', 23, '2021-01-04 00:27:40', '2021-01-04 00:27:40'),
(45, '200035 KQSBG 9793', 'sun glasses', '/storage/productimg/1609743573_mglasses.jpg', 659000, 0, 'Made in Italy', 10, '2021-01-04 00:29:33', '2021-01-04 00:29:33'),
(46, '200035 KQSBG 9791', 'sun glasses', '/storage/productimg/1609743679_mglasses2.jpg', 761000, 0, 'Made in Italy', 10, '2021-01-04 00:31:19', '2021-01-04 00:31:19'),
(47, '200035 KQSBG 9799', 'sun glasses', '/storage/productimg/1609743726_mglasses1.jpg', 654000, 0, 'Made in Italy', 10, '2021-01-04 00:32:06', '2021-01-04 00:32:06'),
(48, '200035 KQMBG 9794', 'Mid Heel', '/storage/productimg/1609743869_midheel.jpg', 1200000, 0, 'Made in Italy', 25, '2021-01-04 00:34:29', '2021-01-04 00:34:29'),
(49, '200035 KQMBG 9795', 'Mid Heel', '/storage/productimg/1609743941_midheel1.jpg', 1250000, 0, 'Made in Italy', 25, '2021-01-04 00:35:42', '2021-01-04 00:35:42'),
(50, '200035 KQMBG 9794', 'Double Flower', '/storage/productimg/1609744109_DoubleGFlowerRing.jpg', 2564000, 0, 'Made in Italy', 11, '2021-01-04 00:38:29', '2021-01-04 00:38:29'),
(51, '200035 KQMBG 9796', 'Flora Diamond', '/storage/productimg/1609744221_floradiamond.jpg', 5665000, 0, 'Made in Italy', 11, '2021-01-04 00:40:21', '2021-01-04 00:40:21'),
(52, 'v200035 KQMBG 9794', 'Necklace', '/storage/productimg/1609744297_necklace.jpg', 9800000, 0, 'Made in Italy', 11, '2021-01-04 00:41:37', '2021-01-04 00:41:37'),
(53, '200035 KQMBG 9797', 'duck sock', '/storage/productimg/1609744437_sock.jpg', 560000, 0, 'Made in Italy', 17, '2021-01-04 00:43:57', '2021-01-04 00:43:57'),
(54, '200035 KQMBG 9798', 'Pant', '/storage/productimg/1609744722_pnat.jpg', 1861000, 0, 'Made in Italy', 16, '2021-01-04 00:48:42', '2021-01-04 00:48:42'),
(55, '200035 KQMBG 9795', 'Pant', '/storage/productimg/1609744883_pant1.jpg', 1460000, 0, 'Made in Italy', 16, '2021-01-04 00:51:23', '2021-01-04 00:51:23'),
(56, '200035 KQMBG 9792', 'short pant', '/storage/productimg/1609744934_pant.jpg', 1600000, 0, 'Made in Italy', 16, '2021-01-04 00:52:14', '2021-01-04 00:52:14'),
(57, '200035 KQMBG 9792', 'Wallet', '/storage/productimg/1609745117_wallet.jpg', 623000, 0, 'Made in Italy', 6, '2021-01-04 00:55:17', '2021-01-04 00:55:17'),
(58, '200035 KQMBG 9794', 'Wallet', '/storage/productimg/1609745244_wallet1.jpg', 750000, 0, 'Made in Italy', 6, '2021-01-04 00:57:24', '2021-01-04 00:57:24'),
(59, '200035 KQMBG 9794', 'Wallet', '/storage/productimg/1609745315_wallet2.jpg', 740000, 0, 'Made in Italy', 6, '2021-01-04 00:58:35', '2021-01-04 00:58:35'),
(60, '200035 KQMBG 9794', 'sweater', '/storage/productimg/1609745488_sweater1.jpg', 2600000, 0, 'Made in Italy', 14, '2021-01-04 01:01:28', '2021-01-04 01:01:28'),
(61, '200035 KQMBG 9790', 'sock', '/storage/productimg/1609745537_socks.jpg', 600000, 0, 'Made in Italy', 17, '2021-01-04 01:02:17', '2021-01-04 01:02:17'),
(62, '200035 KQMBG 9791', 'sweater', '/storage/productimg/1609745651_sweater2.jpg', 3450000, 0, 'Made in Italy', 14, '2021-01-04 01:04:11', '2021-01-04 01:04:11'),
(63, '200035 KQMBG 9794', 'sweater', '/storage/productimg/1609745751_sweater3.jpg', 2923000, 0, 'Made in Italy', 14, '2021-01-04 01:05:51', '2021-01-04 01:05:51'),
(64, '200035 KQMBG 9794', 'Suit', '/storage/productimg/1609745926_suit.jpg', 4000000, 0, 'Made in Italy', 29, '2021-01-04 01:08:46', '2021-01-04 01:08:46'),
(65, '200035 KQMBG 9794', 'GG jacket', '/storage/productimg/1609746015_jacket1.jpg', 5250000, 0, 'Made in Italy', 30, '2021-01-04 01:10:15', '2021-01-04 01:10:15'),
(66, '200035 KQMBG 9794', 'Jacket', '/storage/productimg/1609746073_jacket.jpg', 4360000, 0, 'Made in Italy', 30, '2021-01-04 01:11:13', '2021-01-04 01:11:13'),
(67, '200035 KQMBG 9794', 'Hoodie', '/storage/productimg/1609746224_blackhoodiejpg.jpg', 1701500, 0, 'Made in Italy', 31, '2021-01-04 01:13:44', '2021-01-04 01:13:44'),
(68, '200035 KQMBG 9794', 'Hoodie', '/storage/productimg/1609746255_blackoversizesweatshirt.jpg', 1800000, 0, 'Made in Italy', 31, '2021-01-04 01:14:15', '2021-01-04 01:14:15'),
(69, '200035 KQMBG 9794', 'mini bag', '/storage/productimg/1609747111_bg1.jpg', 2750000, 0, 'Made in Italy', 7, '2021-01-04 01:28:31', '2021-01-04 01:28:31');
-- --------------------------------------------------------
--
-- Table structure for table `roles`
--
CREATE TABLE `roles` (
`id` bigint(20) UNSIGNED NOT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`guard_name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `roles`
--
INSERT INTO `roles` (`id`, `name`, `guard_name`, `created_at`, `updated_at`) VALUES
(1, 'admin', 'web', '2021-01-02 08:53:30', '2021-01-02 08:53:30'),
(2, 'customer', 'web', '2021-01-02 08:53:30', '2021-01-02 08:53:30');
-- --------------------------------------------------------
--
-- Table structure for table `role_has_permissions`
--
CREATE TABLE `role_has_permissions` (
`permission_id` bigint(20) UNSIGNED NOT NULL,
`role_id` bigint(20) UNSIGNED NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`id` bigint(20) UNSIGNED NOT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`email` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`email_verified_at` timestamp NULL DEFAULT NULL,
`password` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`remember_token` varchar(100) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `users`
--
INSERT INTO `users` (`id`, `name`, `email`, `email_verified_at`, `password`, `remember_token`, `created_at`, `updated_at`) VALUES
(1, 'admin', 'admin@gmail.com', '2021-01-01 12:27:36', '$2y$10$HJfc1K5znXawKjufv86HsuYIQqkTtN3XVRxYcfr3IceARuOLjxOrW', NULL, '2021-01-02 08:36:18', '2021-01-02 08:36:18'),
(2, 'customer1', 'customer1@gmail.com', '2021-01-01 12:27:41', '$2y$10$Yny12FOaO/cte3AmNlTqKebEXSPJVaX0r4czRfU2Wd1XFz8iHskC6', NULL, '2021-01-02 08:58:03', '2021-01-02 08:58:03'),
(3, 'customer2', 'customer2@gmail.com', '2021-01-01 12:27:47', '$2y$10$0ute2rHCNm.qYW2p1maJreR2Gu4EDHOxxs/yIhnhoMAWCAZksKit.', NULL, '2021-01-02 09:00:47', '2021-01-02 09:00:47');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `categories`
--
ALTER TABLE `categories`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `failed_jobs`
--
ALTER TABLE `failed_jobs`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `migrations`
--
ALTER TABLE `migrations`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `model_has_permissions`
--
ALTER TABLE `model_has_permissions`
ADD PRIMARY KEY (`permission_id`,`model_id`,`model_type`),
ADD KEY `model_has_permissions_model_id_model_type_index` (`model_id`,`model_type`);
--
-- Indexes for table `model_has_roles`
--
ALTER TABLE `model_has_roles`
ADD PRIMARY KEY (`role_id`,`model_id`,`model_type`),
ADD KEY `model_has_roles_model_id_model_type_index` (`model_id`,`model_type`);
--
-- Indexes for table `orderdetails`
--
ALTER TABLE `orderdetails`
ADD PRIMARY KEY (`id`),
ADD KEY `orderdetails_product_id_foreign` (`product_id`),
ADD KEY `orderdetails_order_id_foreign` (`order_id`);
--
-- Indexes for table `orders`
--
ALTER TABLE `orders`
ADD PRIMARY KEY (`id`),
ADD KEY `orders_user_id_foreign` (`user_id`);
--
-- Indexes for table `password_resets`
--
ALTER TABLE `password_resets`
ADD KEY `password_resets_email_index` (`email`);
--
-- Indexes for table `permissions`
--
ALTER TABLE `permissions`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `products`
--
ALTER TABLE `products`
ADD PRIMARY KEY (`id`),
ADD KEY `products_category_id_foreign` (`category_id`);
--
-- Indexes for table `roles`
--
ALTER TABLE `roles`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `role_has_permissions`
--
ALTER TABLE `role_has_permissions`
ADD PRIMARY KEY (`permission_id`,`role_id`),
ADD KEY `role_has_permissions_role_id_foreign` (`role_id`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`),
ADD UNIQUE KEY `users_email_unique` (`email`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `categories`
--
ALTER TABLE `categories`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=32;
--
-- AUTO_INCREMENT for table `failed_jobs`
--
ALTER TABLE `failed_jobs`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `migrations`
--
ALTER TABLE `migrations`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=9;
--
-- AUTO_INCREMENT for table `orderdetails`
--
ALTER TABLE `orderdetails`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `orders`
--
ALTER TABLE `orders`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `permissions`
--
ALTER TABLE `permissions`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `products`
--
ALTER TABLE `products`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=70;
--
-- AUTO_INCREMENT for table `roles`
--
ALTER TABLE `roles`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `users`
--
ALTER TABLE `users`
MODIFY `id` bigint(20) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `model_has_permissions`
--
ALTER TABLE `model_has_permissions`
ADD CONSTRAINT `model_has_permissions_permission_id_foreign` FOREIGN KEY (`permission_id`) REFERENCES `permissions` (`id`) ON DELETE CASCADE;
--
-- Constraints for table `model_has_roles`
--
ALTER TABLE `model_has_roles`
ADD CONSTRAINT `model_has_roles_role_id_foreign` FOREIGN KEY (`role_id`) REFERENCES `roles` (`id`) ON DELETE CASCADE;
--
-- Constraints for table `orderdetails`
--
ALTER TABLE `orderdetails`
ADD CONSTRAINT `orderdetails_order_id_foreign` FOREIGN KEY (`order_id`) REFERENCES `orders` (`id`) ON DELETE CASCADE,
ADD CONSTRAINT `orderdetails_product_id_foreign` FOREIGN KEY (`product_id`) REFERENCES `products` (`id`) ON DELETE CASCADE;
--
-- Constraints for table `orders`
--
ALTER TABLE `orders`
ADD CONSTRAINT `orders_user_id_foreign` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`) ON DELETE CASCADE;
--
-- Constraints for table `products`
--
ALTER TABLE `products`
ADD CONSTRAINT `products_category_id_foreign` FOREIGN KEY (`category_id`) REFERENCES `categories` (`id`) ON DELETE CASCADE;
--
-- Constraints for table `role_has_permissions`
--
ALTER TABLE `role_has_permissions`
ADD CONSTRAINT `role_has_permissions_permission_id_foreign` FOREIGN KEY (`permission_id`) REFERENCES `permissions` (`id`) ON DELETE CASCADE,
ADD CONSTRAINT `role_has_permissions_role_id_foreign` FOREIGN KEY (`role_id`) REFERENCES `roles` (`id`) ON DELETE CASCADE;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
SET SERVEROUTPUT ON;
CREATE OR REPLACE FUNCTION emp_id
(
empid employees.employee_id%TYPE
)
RETURN VARCHAR2
IS
retorno VARCHAR2(4000);
n NUMBER;
BEGIN
SELECT TRUNC((MONTHS_BETWEEN(sysdate,hire_date)/12),0) INTO n
FROM employees WHERE employee_id = empid;
IF (n > 12) THEN
retorno := 'master';
ELSIF (n >= 8 and n<= 12) THEN
retorno := 'senior';
ELSIF (n < 8) THEN
retorno := 'pleno';
END IF;
RETURN retorno;
END;
/
DECLARE
empid NUMBER;
BEGIN
empid := 164;
DBMS_OUTPUT.PUT_LINE(emp_id(empid));
END;
/
select employee_id, hire_date from employees;
|
SELECT
companies.ID,
companies.title,
COUNT(
companycontactpost.company_id
) AS count_contact
FROM
companies
LEFT JOIN companycontactpost ON companies.ID = companycontactpost.company_id
GROUP BY
companies.ID |
CREATE PROC [ERP].[Usp_Sel_SubFamilia]
@IdEmpresa INT
AS
BEGIN
SELECT FA.ID,
FA.Nombre,
FA.IdFamiliaPadre,
FA.IdEmpresa,
FA.FlagSistema
FROM ERP.Familia FA
WHERE FA.IdEmpresa = @IdEmpresa
END
|
-- 0 Select users from Chicago;
SELECT * FROM syntax_practice WHERE "city" = 'chicago';
--0 Get all users with usernames that contain the letter a.
SELECT * FROM syntax_practice
WHERE "username" LIKE '%a%';
--0 The bank is giving a new customer bonus! Update all records
--0 with an account balance of 0.00 and a transactions_attempted of 0.
--0 Give them a new account balance of 10.00.
UPDATE "syntax_practice"
SET "account_balance" = '10.00'
WHERE "transactions_completed" = '0' AND "transactions_attempted" = '0';
--0 Select all users that have attempted 9 or more transactions.
SELECT * FROM syntax_practice
WHERE "transactions_attempted" > '9';
--0 Get the username and account balance of the 3 users with the highest balances,
--0 sort highest to lowest balance. NOTE: Research LIMIT
SELECT "username", "account_balance" FROM syntax_practice
ORDER BY "account_balance" DESC LIMIT '3';
--0 Get the username and account balance of the 3 users with the lowest balances,
--0 sort lowest to highest balance.
SELECT "username", "account_balance" FROM syntax_practice
ORDER BY "account_balance" ASC LIMIT '3';
--0 Get all users with account balances that are more than $100.
SELECT * FROM syntax_practice
WHERE account_balance >100;
--0 Add a records
INSERT INTO "syntax_practice" ("username", "city", "transactions_completed", "transactions_attempted", "account_balance")
VALUES ('jleary', 'woodbury', 10, 10, 500.00);
--0 The bank is losing money in Miami and Phoenix and needs to unload low transaction customers:
--0 Delete users that reside in miami OR phoenix and have completed fewer than 5 transactions.
DELETE FROM "syntax_practice"
WHERE ("city" = 'miami' OR "city" = 'phoenix') AND "transactions_completed" < 5;
|
INSERT INTO domain_problem (problem_id, domain_id)
VALUES (1,1);
INSERT INTO domain_problem (problem_id, domain_id)
VALUES (1,2);
INSERT INTO domain_problem (problem_id, domain_id)
VALUES (2,1);
INSERT INTO domain_problem (problem_id, domain_id)
VALUES (2,5);
INSERT INTO domain_problem (problem_id, domain_id)
VALUES (3,5);
INSERT INTO domain_problem (problem_id, domain_id)
VALUES (4,2);
INSERT INTO domain_problem (problem_id, domain_id)
VALUES (5,1);
INSERT INTO domain_problem (problem_id, domain_id)
VALUES (5,6);
INSERT INTO domain_problem (problem_id, domain_id)
VALUES (6,1);
INSERT INTO domain_problem (problem_id, domain_id)
VALUES (7,1);
INSERT INTO domain_problem (problem_id, domain_id)
VALUES (7,3);
INSERT INTO domain_problem (problem_id, domain_id)
VALUES (8,5);
INSERT INTO domain_problem (problem_id, domain_id)
VALUES (9,7);
|
TRUNCATE flights RESTART IDENTITY CASCADE;
INSERT INTO flights (flight_owner, title, description, is_public)
VALUES
(2, 'Spicy', 'How food with even spicier wine', 0),
(1, 'Tart and Crisp', 'Light and refreshing, tons of acid', 0),
(1, 'Bold and Brash', 'Heavy tannins and heavt protein', 0),
(1, 'Delicate Sweets', 'Delicious dessert and decadent dessert wine', 0),
(3, 'Mediterranean', 'Sea infleunce from grape to glass', 0),
(3, 'Funky Friends', 'Weirdo fermentations with weirder pairings', 0);
|
CREATE PROC [ERP].[Usp_Upd_SaldoInicialCobrar_Desactivar]
@IdSaldo INT,
@UsuarioElimino VARCHAR(250)
AS
BEGIN
UPDATE ERP.SaldoInicialCobrar SET Flag = 0 ,FechaEliminado=DATEADD(HOUR, 3, GETDATE()),UsuarioElimino = @UsuarioElimino WHERE ID = @IdSaldo
UPDATE ERP.CuentaCobrar SET Flag = 0 WHERE ID IN (SELECT CP.ID FROM
ERP.SaldoInicialCobrar C
INNER JOIN ERP.SaldoInicialCuentaCobrar CCP ON C.ID = CCP.IdSaldoInicialCobrar
INNER JOIN ERP.CuentaCobrar CP ON CCP.IdCuentaCobrar = CP.ID
WHERE C.ID = @IdSaldo)
END |
--https://dev.mysql.com/doc/refman/8.0/en/integer-types.html
CREATE DATABASE app CHARACTER SET utf8 COLLATE utf8_general_ci ;
CREATE TABLE `app`.`user` (
`user_id` INT (11) UNSIGNED NOT NULL AUTO_INCREMENT,
`last_name` VARCHAR (50) NOT NULL,
`first_name` VARCHAR (50) NOT NULL,
`user_email` VARCHAR (50) NOT NULL,
`user_name` VARCHAR (50) NOT NULL,
`password` VARCHAR (255) NOT NULL,
`activation` CHAR (32) NOT NULL,
`created_on` DATETIME NOT NULL,
`last_modified_on` DATETIME NOT NULL,
`disabled` TINYINT (1) UNSIGNED NOT NULL DEFAULT 0,
PRIMARY KEY (`user_id`),
UNIQUE INDEX (`user_name`, `user_email`)
) ENGINE = INNODB CHARSET = utf8 COLLATE = utf8_general_ci ;
-- Tabla de ejemplo para pruebas
CREATE TABLE employee (
employee_id INT (11) UNSIGNED NOT NULL AUTO_INCREMENT,
nombre CHAR(4) NOT NULL,
apellido VARCHAR (4) NOT NULL,
salary DECIMAL (8, 2) UNSIGNED NOT NULL,-- MAX VALUE 999999.99
PRIMARY KEY (employee_id)
) ENGINE = INNODB CHARSET = utf8 COLLATE = utf8_general_ci ;
INSERT INTO employee (salary)
VALUES
('80336.97') ;
INSERT INTO employee (nombre, apellido, salary)
VALUES
('ab ', 'cd ', '910000.00') ;
--Si un valor dado se almacena en las columnas CHAR (4) Y VARCHAR (4), los valores recuperados de las columnas
--NO siempre son los mismos porque los espacios finales se eliminan de las columnas CHAR al recuperarlos.
--El siguiente ejemplo ilustra esta diferencia:
SELECT
CONCAT('(', nombre, ')') nombre_char,
CONCAT('(', apellido, ')') apellido_varchar
FROM
employee ;
nombre_char apellido_varchar
(ab) (cd )
--https://dev.mysql.com/doc/refman/8.0/en/encryption-functions.html#function_sha2
INSERT INTO USER (
last_name,
first_name,
user_email,
user_name,
PASSWORD,
activation,
created_on,
last_modified_on
)
VALUES
(
'Khan',
'Louis',
'louik@gmail.com',
'magic',
sha2 ('ABC 123456/*', 512),
'activated',
'2019-1-2 17:32:39',
'2019-1-2 17:32:39'
) ;
INSERT INTO USER (
last_name,
first_name,
user_email,
user_name,
PASSWORD,
activation,
created_on,
last_modified_on
)
VALUES
(
'Doe',
'Jeff',
'mcjeff@yahoo.com.us',
'jeffy33',
sha2 ('ABC 123456/*', 512),
'activated',
NOW(),
NOW()
) ;
SELECT
CONCAT(
SUBSTR(last_name, 1, 1),
'. ',
first_name
) AS USER
FROM
USER ;
SELECT
CONCAT(
SUBSTR(last_name, 1, 1),
'. ',
first_name
) AS USER,
DATE_FORMAT(created_on, "%d/%m/%Y") AS fecha_de_registro,
DATE_FORMAT(
created_on,
"%a, %d de %M de %Y"
) AS fecha_larga_de_registro
FROM
USER ; |
DROP TABLE shipper;
DROP TABLE build; |
select t1.point, t1.date, inc, out from INCOME_O t1
left join OUTCOME_O t2 on t1.point = t2.point and t1.date = t2.date
union
select t2.point, t2.date, inc, out from INCOME_O t1
right join OUTCOME_O t2 ON t1.point = t2.point and t1.date = t2.date
29. Under the assumption that receipts of money (inc) and payouts (out) are registered not more than once a day for each collection point [i.e. the primary key consists of (point, date)], write a query displaying cash flow data (point, date, income, expense).
Use Income_o and Outcome_o tables.
29. select t1.point, t1.date, inc, out from INCOME_O t1 left join OUTCOME_O t2 on t1.point = t2.point and t1.date = t2.date union select t2.point, t2.date, inc, out from INCOME_O t1 right join OUTCOME_O t2 ON t1.point = t2.point and t1.date = t2.date
30. Under the assumption that receipts of money (inc) and payouts (out) can be registered any number of times a day for each collection point [i.e. the code column is the primary key], display a table with one corresponding row for each operating date of each collection point.
Result set: point, date, total payout per day (out), total money intake per day (inc).
Missing values are considered to be NULL.
30. select point, date, sum(sum_out), sum(sum_inc) from( select point, date, sum(inc) as sum_inc, null as sum_out from INCOME group by point, date union select point, date, null as sum_inc, sum(out)
as sum_out from OUTCOME group by point, date ) as t group by point, date order by point
|
/* Welcome to the SQL mini project. You will carry out this project partly in
the PHPMyAdmin interface, and partly in Jupyter via a Python connection.
This is Tier 2 of the case study, which means that there'll be less guidance for you about how to setup
your local SQLite connection in PART 2 of the case study. This will make the case study more challenging for you:
you might need to do some digging, aand revise the Working with Relational Databases in Python chapter in the previous resource.
Otherwise, the questions in the case study are exactly the same as with Tier 1.
PART 1: PHPMyAdmin
You will complete questions 1-9 below in the PHPMyAdmin interface.
Log in by pasting the following URL into your browser, and
using the following Username and Password:
URL: https://sql.springboard.com/
Username: student
Password: learn_sql@springboard
The data you need is in the "country_club" database. This database
contains 3 tables:
i) the "Bookings" table,
ii) the "Facilities" table, and
iii) the "Members" table.
In this case study, you'll be asked a series of questions. You can
solve them using the platform, but for the final deliverable,
paste the code for each solution into this script, and upload it
to your GitHub.
Before starting with the questions, feel free to take your time,
exploring the data, and getting acquainted with the 3 tables. */
/* QUESTIONS
/* Q1: Some of the facilities charge a fee to members, but some do not.
Write a SQL query to produce a list of the names of the facilities that do. */
SELECT *
FROM `Facilities`
WHERE membercost > 0.0
/* Q2: How many facilities do not charge a fee to members? */
SELECT COUNT( * )
FROM `Facilities`
WHERE membercost = 0.0
/* Q3: Write an SQL query to show a list of facilities that charge a fee to members,
where the fee is less than 20% of the facility's monthly maintenance cost.
Return the facid, facility name, member cost, and monthly maintenance of the
facilities in question. */
SELECT facid, name, membercost, monthlymaintenance
FROM `Facilities`
WHERE membercost < monthlymaintenance * 0.2
/* Q4: Write an SQL query to retrieve the details of facilities with ID 1 and 5.
Try writing the query without using the OR operator. */
SELECT *
FROM `Facilities`
WHERE facid
IN ( 1, 5 )
/* Q5: Produce a list of facilities, with each labelled as
'cheap' or 'expensive', depending on if their monthly maintenance cost is
more than $100. Return the name and monthly maintenance of the facilities
in question. */
SELECT name, monthlymaintenance,
CASE WHEN monthlymaintenance > 100 THEN 'expensive'
ELSE 'cheap' END AS costCategory
FROM `Facilities`
/* Q6: You'd like to get the first and last name of the last member(s)
who signed up. Try not to use the LIMIT clause for your solution. */
SELECT firstname, surname, joindate
FROM `Members`
WHERE joindate
IN (SELECT MAX( joindate )
FROM `Members`
)
/* Q7: Produce a list of all members who have used a tennis court.
Include in your output the name of the court, and the name of the member
formatted as a single column. Ensure no duplicate data, and order by
the member name. */
SELECT DISTINCT CONCAT( M.firstname, M.surname ) AS Member, TennisBooking.name AS Facility
FROM (
SELECT memid, F.facid, F.name
FROM `Bookings`
INNER JOIN `Facilities` AS F
USING ( facid )
WHERE name LIKE 'Tennis%'
) AS TennisBooking
INNER JOIN Members AS M
USING ( memid )
ORDER BY Member
/* Q8: Produce a list of bookings on the day of 2012-09-14 which
will cost the member (or guest) more than $30. Remember that guests have
different costs to members (the listed costs are per half-hour 'slot'), and
the guest user's ID is always 0. Include in your output the name of the
facility, the name of the member formatted as a single column, and the cost.
Order by descending cost, and do not use any subqueries. */
SELECT F.name, CONCAT( M.firstname, ' ', M.surname ) ,
CASE WHEN B.memid =0
THEN B.slots * F.guestcost
ELSE B.Slots * F.membercost
END AS BookingCost
FROM `Facilities` AS F
INNER JOIN `Bookings` AS B
USING ( facid )
INNER JOIN `Members` AS M ON B.memid = M.memid
WHERE B.starttime LIKE '2012-09-14%'
AND CASE WHEN B.memid =0
THEN B.slots * F.guestcost
ELSE B.Slots * F.membercost
END >30
ORDER BY BookingCost DESC
/* Q9: This time, produce the same result as in Q8, but using a subquery. */
SELECT Facility, Membername, Time, BookingCost
FROM
(SELECT F.name AS Facility, CONCAT( M.firstname, ' ', M.surname ) AS Membername, B.starttime AS Time,
CASE WHEN B.memid =0
THEN B.slots * F.guestcost
ELSE B.Slots * F.membercost
END AS BookingCost
FROM `Facilities` AS F
INNER JOIN `Bookings` AS B
USING ( facid )
INNER JOIN `Members` AS M ON B.memid = M.memid) AS sub
WHERE BookingCost > 30
AND Time LIKE '2012-09-14%'
ORDER BY BookingCost DESC
/* PART 2: SQLite
Export the country club data from PHPMyAdmin, and connect to a local SQLite instance from Jupyter notebook
for the following questions.
QUESTIONS:
/* Q10: Produce a list of facilities with a total revenue less than 1000.
The output of facility name and total revenue, sorted by revenue. Remember
that there's a different cost for guests and members! */
conn = create_connection('sqlite_db_pythonsqlite.db')
cur = conn.cursor()
cur.execute("""SELECT Facility, SUM( BookingCost ) AS Revenue
FROM (SELECT F.name AS Facility, B.starttime AS TIME,
CASE WHEN B.memid =0
THEN B.slots * F.guestcost
ELSE B.Slots * F.membercost
END BookingCost
FROM `Facilities` AS F
INNER JOIN `Bookings` AS B
USING ( facid )
INNER JOIN `Members` AS M ON B.memid = M.memid
) AS sub
GROUP BY Facility
HAVING SUM( BookingCost ) >1000""")
print(cur.fetchall())
/* Q11: Produce a report of members and who recommended them in alphabetic surname,firstname order */
cur.execute("""SELECT M1.surname || ', ' || M1.firstname, M2.surname || ', ' || M2.firstname
FROM Members AS M1
INNER JOIN Members AS M2
ON M1.recommendedby = M2.memid
ORDER BY M1.surname DESC""")
print(cur.fetchall())
/* Q12: Find the facilities with their usage by member, but not guests */
cur.execute("""SELECT Facilities.name AS Facility, COUNT(B.facid)
FROM Facilities
INNER JOIN Bookings AS B
USING(facid)
WHERE B.memid != 0
GROUP BY Facility""")
print(cur.fetchall())
/* Q13: Find the facilities usage by month, but not guests */
cur.execute("""SELECT F.name AS Facility, COUNT(B.facid) AS Usage, strftime('%m', B.starttime) AS Month
FROM Bookings AS B
INNER JOIN Facilities AS F
WHERE B.memid != 0
GROUP BY Facility, Month""")
print(cur.fetchall())
|
/*
Navicat Premium Data Transfer
Source Server : localhost_3306
Source Server Type : MySQL
Source Server Version : 50553
Source Host : localhost:3306
Source Schema : item
Target Server Type : MySQL
Target Server Version : 50553
File Encoding : 65001
Date: 27/12/2017 10:47:00
*/
SET NAMES utf8mb4;
SET FOREIGN_KEY_CHECKS = 0;
-- ----------------------------
-- Table structure for _mysql_session_store
-- ----------------------------
DROP TABLE IF EXISTS `_mysql_session_store`;
CREATE TABLE `_mysql_session_store` (
`id` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`expires` bigint(20) NULL DEFAULT NULL,
`data` text CHARACTER SET utf8 COLLATE utf8_general_ci NULL,
PRIMARY KEY (`id`) USING BTREE,
INDEX `_mysql_session_store__expires`(`expires`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;
-- ----------------------------
-- Table structure for admininfo
-- ----------------------------
DROP TABLE IF EXISTS `admininfo`;
CREATE TABLE `admininfo` (
`u_name` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`u_password` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
PRIMARY KEY (`u_name`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;
-- ----------------------------
-- Table structure for orderinfo
-- ----------------------------
DROP TABLE IF EXISTS `orderinfo`;
CREATE TABLE `orderinfo` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`pid` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '订单id',
`fromtime` datetime NOT NULL,
`entertime` datetime NOT NULL,
`status` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`category` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`customer` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`endcustomer` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`partstate` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT '0' COMMENT '配件',
`parttime` datetime NULL DEFAULT NULL COMMENT '配件完成时间',
`partuser` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '配件完成用户',
PRIMARY KEY (`id`, `pid`) USING BTREE,
INDEX `pid`(`pid`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 29 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;
-- ----------------------------
-- Table structure for userinfo
-- ----------------------------
DROP TABLE IF EXISTS `userinfo`;
CREATE TABLE `userinfo` (
`userid` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL DEFAULT '',
`openid` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`usercreatetime` datetime NOT NULL,
`usermtime` datetime NOT NULL,
`workpart` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL DEFAULT '0',
PRIMARY KEY (`userid`) USING BTREE,
INDEX `opneid`(`openid`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;
-- ----------------------------
-- Table structure for userworkinfo
-- ----------------------------
DROP TABLE IF EXISTS `userworkinfo`;
CREATE TABLE `userworkinfo` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`userid` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`userwork` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`level` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
PRIMARY KEY (`id`) USING BTREE,
INDEX `userid`(`userid`) USING BTREE,
CONSTRAINT `userworkinfo_ibfk_1` FOREIGN KEY (`userid`) REFERENCES `userinfo` (`userid`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE = InnoDB AUTO_INCREMENT = 170 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;
-- ----------------------------
-- Table structure for workrecord
-- ----------------------------
DROP TABLE IF EXISTS `workrecord`;
CREATE TABLE `workrecord` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`userid` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`workstageid` int(11) NOT NULL,
`recordtime` datetime NOT NULL,
`kind` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
PRIMARY KEY (`id`) USING BTREE,
INDEX `workstageid`(`workstageid`) USING BTREE,
INDEX `userid`(`userid`) USING BTREE,
CONSTRAINT `workrecord_ibfk_2` FOREIGN KEY (`workstageid`) REFERENCES `workstageinfo` (`id`) ON DELETE CASCADE ON UPDATE CASCADE,
CONSTRAINT `workrecord_ibfk_3` FOREIGN KEY (`userid`) REFERENCES `userinfo` (`userid`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE = InnoDB AUTO_INCREMENT = 15 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;
-- ----------------------------
-- Table structure for workstageinfo
-- ----------------------------
DROP TABLE IF EXISTS `workstageinfo`;
CREATE TABLE `workstageinfo` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`workstage` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`orderinfo` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`index` int(11) NOT NULL,
`num` int(11) UNSIGNED ZEROFILL NOT NULL,
PRIMARY KEY (`id`) USING BTREE,
INDEX `workstage`(`workstage`) USING BTREE,
INDEX `orderinfo`(`orderinfo`) USING BTREE,
CONSTRAINT `workstageinfo_ibfk_1` FOREIGN KEY (`orderinfo`) REFERENCES `orderinfo` (`pid`) ON DELETE CASCADE ON UPDATE CASCADE
) ENGINE = InnoDB AUTO_INCREMENT = 48 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;
SET FOREIGN_KEY_CHECKS = 1;
|
CREATE TABLE students(
SID INTEGER PRIMARY KEY AUTOINCREMENT,
lastName varchar(20) NOT NULL default '',
firstName varchar(20) NOT NULL default '',
address varchar(180) NOT NULL DEFAULT '',
phone1 varchar(12) NOT NULL default '',
phone2 varchar(12) NOT NULL default '',
DateOfBirth DATE,
status varchar(20) NOT NULL DEFAULT '',
nationality varchar(30) NOT NULL default '',
smoker integer(2) NOT NULL default 0,
specialNeeds varchar(180) default 'None',
comments varchar(180) default '',
password varchar(30) NOT NULL default '',
parkingSpot INTEGER(10) default 0,
sex varchar(10) default '',
yearOfStudy varchar(50) default '',
course varchar(50) default '',
familyStudent integer(2) NOT NULL default 0
);
CREATE TABLE staff(
StaffID INTEGER PRIMARY KEY AUTOINCREMENT,
password varchar(30) NOT NULL default '',
lastName VARCHAR(20) NOT NULL default '',
firstName VARCHAR(20) NOT NULL default '',
address varchar(180) NOT NULL default '',
DateOfBirth DATE,
sex varchar(10) default '',
staffPosition varchar(30)NOT NULL default '',
workLocation varchar(50)NOT NULL default ''
);
CREATE TABLE staffactions(
ActionID INTEGER PRIMARY KEY,
StaffID BIGINT unsigned default NULL,
password varchar(30) NOT NULL default '',
item varchar(30) default '',
action varchar(30) default '',
FOREIGN KEY(StaffID) REFERENCES staff(StaffID)
);
CREATE TABLE family(
SID INTEGER,
lastName varchar(20) NOT NULL default '',
firstName varchar(20) NOT NULL default '',
DateOfBirth DATE,
PRIMARY KEY(SID, firstName, lastName),
FOREIGN KEY(SID) REFERENCES students(SID)
);
CREATE TABLE nextofkin(
SID INTEGER,
firstName varchar(30) NOT NULL default '',
lastName varchar(30) NOT NULL default '',
relation varchar(30) NOT NULL default '',
address varchar(180) NOT NULL default '',
phone1 varchar(12) NOT NULL default '',
PRIMARY KEY(SID),
FOREIGN KEY(SID) REFERENCES students(SID)
);
CREATE TABLE guest(
approvalID INTEGER PRIMARY KEY AUTOINCREMENT,
lastName varchar(20) NOT NULL default '',
firstName varchar(20) NOT NULL default '',
status varchar(20) NOT NULL DEFAULT '',
address varchar(180) NOT NULL DEFAULT '',
phone1 varchar(12) NOT NULL default '',
phone2 varchar(12) NOT NULL default '',
DateOfBirth DATE,
nationality varchar(30) NOT NULL default '',
smoker INTEGER(2) NOT NULL default 0,
specialNeeds varchar(180) default '',
comments varchar(180) NOT NULL default '',
password varchar(30) NOT NULL default '',
parkingSpot INTEGER(10) default 0,
sex varchar(10) default '',
familyStudent varchar(2) default 0,
course varchar(100) NOT NULL DEFAULT ''
);
CREATE TABLE classification(
price DOUBLE(20) default 100,
classification varchar(20) PRIMARY KEY NOT NULL default ''
);
CREATE TABLE parkingspot(
PSID INTEGER PRIMARY KEY,
PLID INTEGER,
classification varchar(20) NOT NULL default 'regular',
FOREIGN KEY(classification) REFERENCES classification(classification),
FOREIGN KEY(PLID) REFERENCES parkinglot(PLID)
);
CREATE TABLE parkinglot(
PLID INTEGER PRIMARY KEY,
hall varchar(20) NOT NULL default '',
FOREIGN KEY(hall) REFERENCES resHall(name)
);
CREATE TABLE resHall(
hallName varchar(20) PRIMARY KEY,
manager INTEGER,
address varchar(180) NOT NULL DEFAULT '',
phone varchar(12) NOT NULL default '',
noRooms INTEGER NOT NULL default 0,
nearbyParking1 varchar(30) default '',
nearbyParking2 varchar(30) default '',
nearbyParking3 varchar(30) default '',
restrictions varchar(30) default 'None',
FOREIGN KEY(manager) REFERENCES staff(StaffID)
);
CREATE TABLE resRoom(
placeNo varchar(10) PRIMARY KEY,
rent INTEGER(20) default 0,
securityDeposit INTEGER default 0,
hallName varchar(20),
isTaken INTEGER default 0,
FOREIGN KEY(hallName) REFERENCES resHall(hallName)
);
CREATE TABLE apartment(
aptName varchar(50) PRIMARY KEY NOT NULL DEFAULT '',
phone varchar(12) NOT NULL DEFAULT '',
manager varchar(30) NOT NULL DEFAULT '',
nearbyParking1 varchar(30) default '',
nearbyParking2 varchar(30) default '',
nearbyParking3 varchar(30) default '',
address varchar(180) NOT NULL default ''
);
CREATE TABLE aptRoom(
placeNo varchar(10) PRIMARY KEY,
aptType varchar(20) default '',
aptName varchar(30) default '',
roomNo INTEGER(20) default 0,
rent INTEGER(20) default 0,
securityDeposit INTEGER(20) default 0,
aptNo INTEGER(20) default 0,
isTaken INTEGER default 0,
FOREIGN KEY(aptNo) REFERENCES apartment(aptNo)
);
CREATE TABLE lease(
leaseNo INTEGER PRIMARY KEY AUTOINCREMENT,
SID INTEGER,
housing varchar(30) default '',
placeNo varchar(5) default '',
roomNo varchar(10) default '',
student_mat INTEGER(20) default 0,
duration varchar(30) NOT NULL default '',
status varchar(30) NOT NULL default '',
payOption varchar(30) NOT NULL default '',
deposit INTEGER(20) default 0,
penalty INTEGER(20) default 0,
moveIn DATE,
moveOut DATE,
housingPreference1 varchar(40) default '',
housingPreference2 varchar(40) default '',
housingPreference3 varchar(40) default '',
FOREIGN KEY(SID) REFERENCES students(SID),
FOREIGN KEY(placeNo) REFERENCES room(placeNo)
);
CREATE TABLE termRequest(
termNo INTEGER PRIMARY KEY AUTOINCREMENT,
leaseNo INTEGER,
placeNo INTEGER,
inspectionDate DATE,
status varchar(30) NOT NULL default '',
SID INTEGER,
dateToLeave DATE,
reason varchar(180) default '',
FOREIGN KEY(SID) REFERENCES lease(students),
FOREIGN KEY(leaseNo) REFERENCES lease(leaseNo)
);
CREATE TABLE invoice(
invoiceNo INTEGER PRIMARY KEY,
SID INTEGER,
leaseNo Integer,
dueDate DATE,
paidDate DATE,
payOption varchar(30) NOT NULL default '',
status varchar(10),
FOREIGN KEY(leaseNo) REFERENCES lease(leaseNo),
FOREIGN KEY(SID) REFERENCES students(SID)
);
CREATE TABLE invoiceLine(
ILID INTEGER PRIMARY KEY,
invoiceNo INTEGER,
name varchar(30) NOT NULL default '',
value DOUBLE(20) default 0,
FOREIGN KEY(invoiceNo) REFERENCES invoice(invoiceNo)
);
CREATE TABLE maintenanceTicket(
ticketNo INTEGER PRIMARY KEY AUTOINCREMENT,
issuerName varchar(40) default '',
issue varchar(50) NOT NULL default '',
dateIssued DATE,
status varchar(20) default '',
comments varchar(180) default '',
SID INTEGER,
FOREIGN KEY(SID) references students(SID)
);
|
-- Dump created by MySQL pump utility, version: 5.7.29, Win64 (x86_64)
-- Dump start time: Mon Apr 13 13:45:01 2020
-- Server version: 5.7.29
SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0;
SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0;
SET @OLD_SQL_MODE=@@SQL_MODE;
SET SQL_MODE="NO_AUTO_VALUE_ON_ZERO";
SET @@SESSION.SQL_LOG_BIN= 0;
SET @OLD_TIME_ZONE=@@TIME_ZONE;
SET TIME_ZONE='+00:00';
SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT;
SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS;
SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION;
SET NAMES utf8mb4;
CREATE DATABASE /*!32312 IF NOT EXISTS*/ `deliver_system` /*!40100 DEFAULT CHARACTER SET utf8 COLLATE utf8_unicode_ci */;
CREATE TABLE `deliver_system`.`t_assistant_manager` (
`id` bigint(20) NOT NULL,
`assistant_manager_name` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`contact` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`superior_id` bigint(20) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci
;
CREATE TABLE `deliver_system`.`t_cook` (
`id` bigint(20) NOT NULL,
`cook_name` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`superior_id` bigint(20) DEFAULT NULL,
`contact` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`window_no` bigint(20) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci
;
INSERT INTO `deliver_system`.`t_cook` VALUES (3,"张三",4,"131923100003",1),(13,"厨师2",4,"厨师2联系方式",1);
CREATE TABLE `deliver_system`.`t_manager` (
`id` bigint(20) NOT NULL,
`manager_name` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`contact` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci
;
CREATE TABLE `deliver_system`.`t_menu` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`meal_name` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`price` double DEFAULT NULL,
`cook_no` bigint(20) DEFAULT NULL,
`meal_type` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`amount` bigint(20) DEFAULT NULL,
`window_no` bigint(20) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=10 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci
;
CREATE TABLE `deliver_system`.`t_normal_user` (
`id` bigint(20) NOT NULL,
`user_name` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`location` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`contact` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci
;
CREATE TABLE `deliver_system`.`t_order` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`order_meal_no` bigint(20) DEFAULT NULL,
`order_meal_amount` int(11) DEFAULT NULL,
`order_person_id` bigint(20) DEFAULT NULL,
`order_time` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`send_time` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`status` int(1) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=17 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci
;
INSERT INTO `deliver_system`.`t_assistant_manager` VALUES (4,"副经理1","副经理1的家",5);
CREATE TABLE `deliver_system`.`t_user` (
`id` bigint(20) NOT NULL AUTO_INCREMENT,
`user_account` varchar(255) COLLATE utf8_unicode_ci DEFAULT NULL,
`user_password` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`permission_level` int(11) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=15 DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci
;
USE `deliver_system`;
ALTER TABLE `deliver_system`.`t_cook` ADD CONSTRAINT `t_cook_ibfk_1` FOREIGN KEY (`id`) REFERENCES `t_user` (`id`);
INSERT INTO `deliver_system`.`t_manager` VALUES (5,"总经理","总经理的家");
INSERT INTO `deliver_system`.`t_menu` VALUES (1,"暖男炒饭",12,3,"粤菜",149,1),(2,"叉烧饭！",10,3,"粤菜",47,1),(3,"麻婆豆腐",8,3,"川菜",139,1),(4,"剁椒鱼头",10,3,"湘菜",26,1),(5,"仰望星空派",15,3,"粤菜",100,1),(6,"阿普鲁派",15,3,"粤菜",997,1),(7,"阿帕茶",1,3,"川菜",100,1),(8,"辣椒雪糕",12,3,"湘菜",9998,1),(9,"煎饺",15,3,"川菜",0,1);
INSERT INTO `deliver_system`.`t_order` VALUES (1,4,1,1,"04-07 09:28","04-07 09:28",1),(2,2,1,1,"04-07 09:28","04-07 09:28",1),(3,2,1,1,"04-07 09:28","04-07 09:28",1),(4,3,1,1,"04-07 09:28","04-07 09:28",1),(5,4,1,12,"04-08 01:52","04-08 01:52",1),(6,9,1,1,"04-13 01:03","04-13 01:03",1),(7,8,1,1,"04-13 01:11","04-13 01:11",1),(8,4,1,1,"04-13 01:29","04-13 01:29",0),(9,4,1,1,"04-13 01:31","04-13 01:31",0),(10,2,1,1,"04-13 01:31","04-13 01:31",0),(11,1,1,1,"04-13 01:31","04-13 01:31",0),(12,8,1,1,"04-13 01:31","04-13 01:31",0),(13,6,1,1,"04-13 01:31","04-13 01:31",0),(14,6,1,1,"04-13 01:31","04-13 01:31",0),(15,3,1,1,"04-13 01:31","04-13 01:31",0),(16,6,1,1,"04-13 01:32","04-13 01:32",0);
INSERT INTO `deliver_system`.`t_normal_user` VALUES (1,"小明同学","西三101","131923100000"),(2,"李老师","西三201","131923100002"),(12,"小红","西三102","131923100001");
USE `deliver_system`;
ALTER TABLE `deliver_system`.`t_assistant_manager` ADD CONSTRAINT `t_assistant_manager_ibfk_1` FOREIGN KEY (`id`) REFERENCES `t_user` (`id`);
USE `deliver_system`;
ALTER TABLE `deliver_system`.`t_manager` ADD CONSTRAINT `t_manager_ibfk_1` FOREIGN KEY (`id`) REFERENCES `t_user` (`id`);
INSERT INTO `deliver_system`.`t_user` VALUES (1,"1001","1001",1),(2,"2001","2001",2),(3,"3001","3001",3),(4,"4001","4001",4),(5,"5001","5001",5),(12,"1002","1002",1),(13,"3002","3002",3);
USE `deliver_system`;
ALTER TABLE `deliver_system`.`t_menu` ADD KEY `cook_no` (`cook_no`);
ALTER TABLE `deliver_system`.`t_menu` ADD CONSTRAINT `t_menu_ibfk_1` FOREIGN KEY (`cook_no`) REFERENCES `t_cook` (`id`);
USE `deliver_system`;
ALTER TABLE `deliver_system`.`t_order` ADD KEY `order_person_id` (`order_person_id`);
ALTER TABLE `deliver_system`.`t_order` ADD KEY `t_order_nofk_2` (`order_meal_no`);
ALTER TABLE `deliver_system`.`t_order` ADD CONSTRAINT `t_order_ibfk_1` FOREIGN KEY (`order_person_id`) REFERENCES `t_user` (`id`);
ALTER TABLE `deliver_system`.`t_order` ADD CONSTRAINT `t_order_nofk_2` FOREIGN KEY (`order_meal_no`) REFERENCES `t_menu` (`id`);
USE `deliver_system`;
ALTER TABLE `deliver_system`.`t_user` ADD UNIQUE KEY `user_account` (`user_account`);
USE `deliver_system`;
ALTER TABLE `deliver_system`.`t_normal_user` ADD CONSTRAINT `t_normal_user_ibfk_1` FOREIGN KEY (`id`) REFERENCES `t_user` (`id`);
SET TIME_ZONE=@OLD_TIME_ZONE;
SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT;
SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS;
SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION;
SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS;
SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS;
SET SQL_MODE=@OLD_SQL_MODE;
-- Dump end time: Mon Apr 13 13:45:03 2020
|
-- phpMyAdmin SQL Dump
-- version 4.7.4
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Jun 07, 2018 at 03:11 AM
-- Server version: 10.1.21-MariaDB
-- PHP Version: 7.2.1
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET AUTOCOMMIT = 0;
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `sayurin`
--
-- --------------------------------------------------------
--
-- Table structure for table `chatting`
--
CREATE TABLE `chatting` (
`id` int(10) UNSIGNED NOT NULL,
`pengirim_id` int(10) UNSIGNED NOT NULL,
`penerima_id` int(10) UNSIGNED NOT NULL,
`pesan` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `keranjang`
--
CREATE TABLE `keranjang` (
`id` int(10) UNSIGNED NOT NULL,
`user_id` int(10) UNSIGNED NOT NULL,
`sayur_id` int(10) UNSIGNED NOT NULL,
`jumlah` int(11) NOT NULL,
`total_harga` int(11) NOT NULL,
`order` tinyint(1) NOT NULL DEFAULT '0',
`status` tinyint(1) NOT NULL DEFAULT '0',
`isDeliver` tinyint(1) NOT NULL DEFAULT '0',
`kode_belanja` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `migrations`
--
CREATE TABLE `migrations` (
`id` int(10) UNSIGNED NOT NULL,
`migration` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`batch` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `migrations`
--
INSERT INTO `migrations` (`id`, `migration`, `batch`) VALUES
(1, '2014_10_12_000000_create_users_table', 1),
(2, '2014_10_12_100000_create_password_resets_table', 1),
(3, '2018_05_12_031558_create_sayur_table', 1),
(4, '2018_05_12_031825_create_keranjang_table', 1),
(5, '2018_05_12_032202_create_pembayaran_table', 1),
(6, '2018_05_12_032618_create_pengiriman_table', 1),
(7, '2018_05_12_034504_create_chatting_table', 1);
-- --------------------------------------------------------
--
-- Table structure for table `password_resets`
--
CREATE TABLE `password_resets` (
`email` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`token` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `pembayaran`
--
CREATE TABLE `pembayaran` (
`id` int(10) UNSIGNED NOT NULL,
`user_id` int(10) UNSIGNED NOT NULL,
`jenis` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`kode` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`total_harga` int(10) UNSIGNED NOT NULL,
`foto_transaksi` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`status` tinyint(1) NOT NULL DEFAULT '0',
`isDeliver` tinyint(1) NOT NULL DEFAULT '0',
`kode_belanja` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `pengiriman`
--
CREATE TABLE `pengiriman` (
`id` int(10) UNSIGNED NOT NULL,
`user_id` int(10) UNSIGNED NOT NULL,
`pembayaran_id` int(10) UNSIGNED NOT NULL,
`alamat` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`status` tinyint(1) NOT NULL DEFAULT '0',
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `sayur`
--
CREATE TABLE `sayur` (
`id` int(10) UNSIGNED NOT NULL,
`nama` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`jumlah` int(11) NOT NULL,
`berat` int(11) NOT NULL,
`harga` int(11) NOT NULL,
`foto` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `sayur`
--
INSERT INTO `sayur` (`id`, `nama`, `jumlah`, `berat`, `harga`, `foto`, `created_at`, `updated_at`) VALUES
(1, 'bayam', 12, 2, 12000, 'sayur/Zzij579LCrP0SFSnhmRRQGqGpQCvLj8mZCpHQXQf.png', '2018-05-31 11:42:24', '2018-05-31 11:42:24'),
(2, 'bayam2', 2, 1, 10000, 'sayur/iWKr09imSLP164TtcKora1oJ5HciHplmtn4s2n6I.png', '2018-05-31 11:47:15', '2018-05-31 11:47:15'),
(3, 'bayam3', 15, 3, 14000, 'sayur/nyzxifeUEoWYis6B3jS0bsibhZI4RDSjweESX6wu.png', '2018-05-31 11:50:32', '2018-05-31 11:50:32'),
(4, 'wortel', 5, 1, 8000, 'sayur/tT5s5xj3p3OdbvPaPY475N46SGBo0F0Yg33L2JBy.jpeg', '2018-05-31 12:07:13', '2018-05-31 12:07:13');
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`id` int(10) UNSIGNED NOT NULL,
`name` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`email` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`nomor_telepon` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`password` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`foto` varchar(191) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`tipe` varchar(191) COLLATE utf8mb4_unicode_ci NOT NULL,
`remember_token` varchar(100) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `users`
--
INSERT INTO `users` (`id`, `name`, `email`, `nomor_telepon`, `password`, `foto`, `tipe`, `remember_token`, `created_at`, `updated_at`) VALUES
(1, 'suastikadinata', 'suastikaadinata@gmail.com', '0851112222', '$2y$10$TYVQWdegvScWVekFzVCq5ubGyOuOJSM59pmEZMwqWEOnJLOQTa8cy', NULL, 'admin', 'KCbfbnWQ4M8E0CZlUGGXuXVL7O2HTyXewUpoj8Y2DQHdOIWG6nWXUE7SkMlm', '2018-06-02 04:15:41', '2018-06-02 04:15:41'),
(2, 'adinata', 'adinata@gmail.com', '0851112222', '$2y$10$ndjO8uPbBQ8LS5EAPe6xXe2ZPJlEfOj3QH4W.UXojk6b5YX6AYAc2', NULL, 'user', 'm6O5XUL5osVNAqym5X42NuRx9kyeLNYfpVKP4El5PLZ7GatvX7NiaPVJE1hz', '2018-06-02 05:49:31', '2018-06-02 05:49:31');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `chatting`
--
ALTER TABLE `chatting`
ADD PRIMARY KEY (`id`),
ADD KEY `chatting_pengirim_id_foreign` (`pengirim_id`),
ADD KEY `chatting_penerima_id_foreign` (`penerima_id`);
--
-- Indexes for table `keranjang`
--
ALTER TABLE `keranjang`
ADD PRIMARY KEY (`id`),
ADD KEY `keranjang_user_id_foreign` (`user_id`),
ADD KEY `keranjang_sayur_id_foreign` (`sayur_id`);
--
-- Indexes for table `migrations`
--
ALTER TABLE `migrations`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `password_resets`
--
ALTER TABLE `password_resets`
ADD KEY `password_resets_email_index` (`email`);
--
-- Indexes for table `pembayaran`
--
ALTER TABLE `pembayaran`
ADD PRIMARY KEY (`id`),
ADD KEY `pembayaran_user_id_foreign` (`user_id`);
--
-- Indexes for table `pengiriman`
--
ALTER TABLE `pengiriman`
ADD PRIMARY KEY (`id`),
ADD KEY `pengiriman_user_id_foreign` (`user_id`),
ADD KEY `pengiriman_pembayaran_id_foreign` (`pembayaran_id`);
--
-- Indexes for table `sayur`
--
ALTER TABLE `sayur`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`),
ADD UNIQUE KEY `users_email_unique` (`email`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `chatting`
--
ALTER TABLE `chatting`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `keranjang`
--
ALTER TABLE `keranjang`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `migrations`
--
ALTER TABLE `migrations`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- AUTO_INCREMENT for table `pembayaran`
--
ALTER TABLE `pembayaran`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `pengiriman`
--
ALTER TABLE `pengiriman`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `sayur`
--
ALTER TABLE `sayur`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT for table `users`
--
ALTER TABLE `users`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `chatting`
--
ALTER TABLE `chatting`
ADD CONSTRAINT `chatting_penerima_id_foreign` FOREIGN KEY (`penerima_id`) REFERENCES `users` (`id`) ON DELETE CASCADE,
ADD CONSTRAINT `chatting_pengirim_id_foreign` FOREIGN KEY (`pengirim_id`) REFERENCES `users` (`id`) ON DELETE CASCADE;
--
-- Constraints for table `keranjang`
--
ALTER TABLE `keranjang`
ADD CONSTRAINT `keranjang_sayur_id_foreign` FOREIGN KEY (`sayur_id`) REFERENCES `sayur` (`id`) ON DELETE CASCADE,
ADD CONSTRAINT `keranjang_user_id_foreign` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`) ON DELETE CASCADE;
--
-- Constraints for table `pembayaran`
--
ALTER TABLE `pembayaran`
ADD CONSTRAINT `pembayaran_user_id_foreign` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`) ON DELETE CASCADE;
--
-- Constraints for table `pengiriman`
--
ALTER TABLE `pengiriman`
ADD CONSTRAINT `pengiriman_pembayaran_id_foreign` FOREIGN KEY (`pembayaran_id`) REFERENCES `pembayaran` (`id`) ON DELETE CASCADE,
ADD CONSTRAINT `pengiriman_user_id_foreign` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`) ON DELETE CASCADE;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
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SELECT
COUNT(*)
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FINANCIAL_STATEMENTS_ORIGINAL_TEMP
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SEQ_NO = /*sessionId*/'' |
SELECT COUNT(1) FROM /*$tableId*/
WHERE /*$columnId*/ IS NOT NULL |
SELECT class FROM (SELECT class, COUNT(DISTINCT student) AS studentCnt FROM courses
GROUP BY class) AS tempTable WHERE studentCnt >= 5; |
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/*!40101 SET NAMES utf8mb4 */;
--
-- База данных: `yii2-blog-test`
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--
-- Структура таблицы `migration`
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CREATE TABLE `migration` (
`version` varchar(180) NOT NULL,
`apply_time` int(11) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
--
-- Дамп данных таблицы `migration`
--
INSERT INTO `migration` (`version`, `apply_time`) VALUES
('m000000_000000_base', 1490346550);
--
-- Индексы сохранённых таблиц
--
--
-- Индексы таблицы `migration`
--
ALTER TABLE `migration`
ADD PRIMARY KEY (`version`);
/*!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 */;
|
ALTER TABLE sys_post
ADD COLUMN content TEXT COMMENT '内容';
|
create view SUMMARY_PRODUCT as
select product.PRODUCT_ID
, product.PRODUCT_NAME
, product.PRODUCT_HANDLE_CODE
, product.PRODUCT_STATUS_CODE
, (select max(purchase.PURCHASE_DATETIME)
from PURCHASE purchase
where purchase.PRODUCT_ID = product.PRODUCT_ID
) as LATEST_PURCHASE_DATETIME
from PRODUCT product
;
-- PK is NOT defined at DBFlute property
-- treated as no-primary-key table
create view SUMMARY_WITHDRAWAL as
select withdrawal.MEMBER_ID
, mb.MEMBER_NAME
, withdrawal.WITHDRAWAL_REASON_CODE
, reason.WITHDRAWAL_REASON_TEXT
, withdrawal.WITHDRAWAL_REASON_INPUT_TEXT
, withdrawal.WITHDRAWAL_DATETIME
, mb.MEMBER_STATUS_CODE
, status.MEMBER_STATUS_NAME
, (select max(purchase.PURCHASE_PRICE)
from PURCHASE purchase
where purchase.MEMBER_ID = mb.MEMBER_ID
) as MAX_PURCHASE_PRICE
from MEMBER_WITHDRAWAL withdrawal
left outer join WITHDRAWAL_REASON reason
on withdrawal.WITHDRAWAL_REASON_CODE = reason.WITHDRAWAL_REASON_CODE
left outer join `MEMBER` mb
on withdrawal.MEMBER_ID = mb.MEMBER_ID
left outer join MEMBER_STATUS status
on mb.MEMBER_STATUS_CODE = status.MEMBER_STATUS_CODE
;
|
CREATE TABLE users
(
id INT NOT NULL AUTO_INCREMENT,
username VARCHAR (250) NOT NULL,
password VARCHAR (250),
name VARCHAR (250) NOT NULL,
is_admin TINYINT (1) NOT NULL,
PRIMARY KEY (id),
CONSTRAINT UN_USER_USERNAME UNIQUE (username)
);
insert into users
(
username,
password,
name,
is_admin
)
values
(
'Admin',
'Admin',
'Admin',
1
);
insert into users
(
username,
name,
is_admin
)
values
(
'User',
'User',
0
); |
Id FirstName LastName Quantity
-------------------------------------------------------------------
1 arun prasanth 40
2 ann antony 45
3 sruthy abc 41
6 new abc 47
1 arun prasanth 45
1 arun prasanth 49
2 ann antony 49
USE [EllensWorkDB]
CREATE TABLE EmployeeSales
(ID int NOT NULL
,FirstName VARCHAR(25) NOT NULL
,LastName VARCHAR(25) NOT NULL
,Quantity int NOT NULL
)
INSERT INTO EmployeeSales
VALUES(1, 'arun', 'prasanth', 40),
(1, 'arun', 'prasanth', 45),
(1, 'arun', 'prasanth', 49),
(2, 'ann', 'antony', 45),
(2, 'ann', 'antony', 49),
(3, 'sruthy','abc', 41),
(6, 'new', 'abc', 47);
--SELECT * FROM EmployeeSales
SELECT FirstName, SUM(Quantity) AS TotalQuantity
FROM EmployeeSales
GROUP BY FirstName
SELECT FirstName, SUM(Quantity) OVER(PARTITION BY ID) AS TotalQuantity
FROM EmployeeSales
SELECT DISTINCT ID, FirstName, SUM(Quantity) OVER(PARTITION BY ID) AS TotalQuantity
FROM EmployeeSales
|
prompt creando secuencias
prompt conectando usuario baoc_proy_admin
connect baoc_proy_admin
CREATE SEQUENCE ESTUDIANTE_SEQ
START WITH 6
INCREMENT BY 1
NOMINVALUE
NOMAXVALUE
CACHE 50;
CREATE SEQUENCE PROFESOR_SEQ
START WITH 1
INCREMENT BY 1
NOMINVALUE
NOMAXVALUE
CACHE 50;
CREATE SEQUENCE CURSO_SEQ
START WITH 1
INCREMENT BY 1
NOMINVALUE
NOMAXVALUE
CACHE 50;
CREATE SEQUENCE INSCRIPCION_SEQ
START WITH 1
INCREMENT BY 1
NOMINVALUE
NOMAXVALUE
CACHE 50;
CREATE SEQUENCE HIS_GE_SEQ
START WITH 1
INCREMENT BY 1
NOMINVALUE
NOMAXVALUE
CACHE 50;
|
create table order_detail
(
detail_id varchar(32) not null
primary key,
order_id varchar(32) not null,
product_id varchar(32) not null,
prodict_name varchar(64) not null comment '商品名称',
product_price decimal(8,2) not null comment '商品价格',
product_quantity int not null comment '商品数量',
product_icon varchar(512) null comment '商品小图',
create_time timestamp default CURRENT_TIMESTAMP not null comment '创建时间',
update_time timestamp default CURRENT_TIMESTAMP not null comment '修改时间'
)
comment '订单详情表'
;
create index idx_order_id
on order_detail (order_id)
;
|
use employees;
SELECT d.dept_name as 'Department Name', CONCAT(e.first_name, ' ', e.last_name) AS 'Department Manager'
FROM employees as e
JOIN dept_manager as de
ON de.emp_no = e.emp_no
JOIN departments as d
ON d.dept_no = de.dept_no
WHERE to_date like '9999-01-01'
ORDER BY d.dept_name;
SELECT d.dept_name as 'Department Name', CONCAT(e.first_name, ' ', e.last_name) AS 'Department Manager'
FROM employees as e
JOIN dept_manager as de
ON de.emp_no = e.emp_no
JOIN departments as d
ON d.dept_no = de.dept_no
WHERE to_date like '9999-01-01' AND e.gender like 'F'
ORDER BY d.dept_name;
SELECT t.title as 'Title', COUNT(t.emp_no) as 'Count'
FROM dept_emp as d
JOIN titles t on d.emp_no = t.emp_no
WHERE t.to_date like '9999-01-01' AND d.dept_no like 'd009'
GROUP BY t.title;
SELECT d.dept_name as 'Department Name', CONCAT(e.first_name, ' ', e.last_name) AS 'Department Manager', s.salary AS 'Salary'
FROM employees as e
JOIN dept_manager as de
ON de.emp_no = e.emp_no
JOIN departments as d
ON d.dept_no = de.dept_no
JOIN salaries as s
ON e.emp_no = s.emp_no
WHERE de.to_date like '9999-01-01' and
s.to_date > curdate()
ORDER BY d.dept_name;
|
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