text stringlengths 6 9.38M |
|---|
DROP TABLE IF EXISTS "#__anodos_currency_rate";
DROP TABLE IF EXISTS "#__anodos_price";
DROP TABLE IF EXISTS "#__anodos_currency";
DROP TABLE IF EXISTS "#__anodos_price_type";
DROP TABLE IF EXISTS "#__anodos_product_quantity";
DROP TABLE IF EXISTS "#__anodos_stock";
DROP TABLE IF EXISTS "#__anodos_vendor_synonym";
DROP TABLE IF EXISTS "#__anodos_category_synonym";
DROP TABLE IF EXISTS "#__anodos_updater";
DROP TABLE IF EXISTS "#__anodos_product";
DROP TABLE IF EXISTS "#__anodos_product_vat";
DROP TABLE IF EXISTS "#__anodos_partner";
CREATE TABLE IF NOT EXISTS "#__anodos_partner" (
"id" serial8 NOT NULL,
"asset_id" bigint DEFAULT 0 NOT NULL,
"name" varchar(255) NOT NULL DEFAULT '',
"alias" varchar(255) NOT NULL DEFAULT '',
"category_id" int REFERENCES "#__categories"("id"),
"vendor" int NOT NULL DEFAULT '0',
"distributor" int NOT NULL DEFAULT '0',
"client" int NOT NULL DEFAULT '0',
"competitor" int NOT NULL DEFAULT '0',
"state" int NOT NULL DEFAULT '1',
"ordering" int8 NOT NULL DEFAULT '0',
"description" text NOT NULL DEFAULT '',
"created" timestamp NOT NULL DEFAULT '1980.001',
"created_by" int8 NOT NULL DEFAULT '0',
"modified" timestamp NOT NULL DEFAULT '1980.001',
"modified_by" int8 NOT NULL DEFAULT '0',
"publish_up" timestamp NOT NULL DEFAULT '1980.001',
"publish_down" timestamp NOT NULL DEFAULT '2100.001',
"metadata" text NOT NULL DEFAULT '',
"hits" int8 NOT NULL DEFAULT '0',
PRIMARY KEY ("id")
);
CREATE TABLE IF NOT EXISTS "#__anodos_product_vat" (
"id" serial NOT NULL,
"vat" decimal(5,2) NOT NULL DEFAULT '18.00',
PRIMARY KEY ("id")
);
INSERT INTO "#__anodos_product_vat" VALUES (DEFAULT, 18.00), (DEFAULT, 0.00);
CREATE TABLE IF NOT EXISTS "#__anodos_product" (
"id" serial8 NOT NULL,
"asset_id" bigint DEFAULT 0 NOT NULL,
"name" varchar(255) NOT NULL,
"alias" varchar(255) NOT NULL DEFAULT '',
"article" varchar(225) NOT NULL DEFAULT '',
"full_name" text NOT NULL DEFAULT '',
"category_id" int NOT NULL REFERENCES "#__categories"("id"),
"vendor_id" int8 NOT NULL REFERENCES "#__anodos_partner"("id"),
"vat_id" int NOT NULL DEFAULT '1' REFERENCES "#__anodos_product_vat"("id"),
"state" int NOT NULL DEFAULT '1',
"ordering" int8 NOT NULL DEFAULT '0',
"description" text NOT NULL DEFAULT '',
"created" timestamp NOT NULL DEFAULT '1980.001',
"created_by" int8 NOT NULL DEFAULT '0',
"modified" timestamp NOT NULL DEFAULT '1980.001',
"modified_by" int8 NOT NULL DEFAULT '0',
"publish_up" timestamp NOT NULL DEFAULT '1980.001',
"publish_down" timestamp NOT NULL DEFAULT '2100.001',
"metadata" text NOT NULL DEFAULT '',
"hits" int8 NOT NULL DEFAULT '0',
"duble_of" int8,
PRIMARY KEY ("id")
);
CREATE TABLE IF NOT EXISTS "#__anodos_updater" (
"id" serial NOT NULL,
"asset_id" bigint DEFAULT 0 NOT NULL,
"partner_id" int8 REFERENCES "#__anodos_partner"("id"),
"category_id" int REFERENCES "#__categories"("id"),
"name" varchar(255) NOT NULL DEFAULT '',
"alias" varchar(255) NOT NULL DEFAULT '',
"state" int NOT NULL DEFAULT '0',
"ordering" int8 NOT NULL DEFAULT '0',
"description" text NOT NULL DEFAULT '',
"created" timestamp NOT NULL DEFAULT '1980.001',
"created_by" int8 NOT NULL DEFAULT '0',
"modified" timestamp NOT NULL DEFAULT '1980.001',
"modified_by" int8 NOT NULL DEFAULT '0',
"publish_up" timestamp NOT NULL DEFAULT '1980.001',
"publish_down" timestamp NOT NULL DEFAULT '2100.001',
"metadata" text NOT NULL DEFAULT '',
"hits" int8 NOT NULL DEFAULT '0',
"updated" timestamp NOT NULL DEFAULT '1980.001',
"updated_by" int8 NOT NULL DEFAULT '0',
"client" varchar(255) NOT NULL DEFAULT '',
"login" varchar(255) NOT NULL DEFAULT '',
"pass" varchar(255) NOT NULL DEFAULT '',
"cookie" text NOT NULL DEFAULT '',
"key" varchar(255) NOT NULL DEFAULT '0',
PRIMARY KEY ("id")
);
CREATE TABLE IF NOT EXISTS "#__anodos_category_synonym" (
"id" serial8 NOT NULL,
"partner_id" int8 NOT NULL REFERENCES "#__anodos_partner"("id"),
"category_id" int REFERENCES "#__categories"("id"),
"name" varchar(255) NOT NULL DEFAULT '',
"state" int NOT NULL DEFAULT '1',
"created" timestamp NOT NULL DEFAULT '1980.001',
"created_by" int8 NOT NULL DEFAULT '0',
"modified" timestamp NOT NULL DEFAULT '1980.001',
"modified_by" int8 NOT NULL DEFAULT '0',
PRIMARY KEY ("id")
);
CREATE TABLE IF NOT EXISTS "#__anodos_vendor_synonym" (
"id" serial8 NOT NULL,
"partner_id" int8 REFERENCES "#__anodos_partner"("id"),
"vendor_id" int8 REFERENCES "#__anodos_partner"("id"),
"name" varchar(255) NOT NULL,
"state" int NOT NULL DEFAULT '1',
"created" timestamp NOT NULL DEFAULT '1980.001',
"created_by" int8 NOT NULL DEFAULT '0',
"modified" timestamp NOT NULL DEFAULT '1980.001',
"modified_by" int8 NOT NULL DEFAULT '0',
PRIMARY KEY ("id")
);
CREATE TABLE IF NOT EXISTS "#__anodos_stock" (
"id" serial8 NOT NULL,
"asset_id" bigint DEFAULT 0 NOT NULL,
"name" varchar(255) NOT NULL,
"alias" varchar(255) NOT NULL,
"delivery_time_min" interval NOT NULL DEFAULT '4 days',
"delivery_time_max" interval NOT NULL DEFAULT '10 days',
"partner_id" int8 NOT NULL REFERENCES "#__anodos_partner"("id"),
"category_id" int REFERENCES "#__categories"("id"),
"state" int NOT NULL DEFAULT '1',
"ordering" int8 NOT NULL DEFAULT '0',
"description" text NOT NULL DEFAULT '',
"created" timestamp NOT NULL DEFAULT '1980.001',
"created_by" int8 NOT NULL DEFAULT '0',
"modified" timestamp NOT NULL DEFAULT '1980.001',
"modified_by" int8 NOT NULL DEFAULT '0',
"publish_up" timestamp NOT NULL DEFAULT '1980.001',
"publish_down" timestamp NOT NULL DEFAULT '2100.001',
"metadata" text NOT NULL DEFAULT '',
"hits" int8 NOT NULL DEFAULT '0',
PRIMARY KEY ("id")
);
CREATE TABLE IF NOT EXISTS "#__anodos_product_quantity" (
"product_id" int8 NOT NULL REFERENCES "#__anodos_product"("id"),
"stock_id" int8 NOT NULL REFERENCES "#__anodos_stock"("id"),
"created" timestamp NOT NULL,
"version" int8 NOT NULL DEFAULT '0',
"created_by" int8 NOT NULL DEFAULT '0',
"quantity" DECIMAL(13,2) NOT NULL,
"state" int NOT NULL DEFAULT '1',
"modified" timestamp NOT NULL DEFAULT '1980.001',
"modified_by" int8 NOT NULL DEFAULT '0',
"publish_up" timestamp NOT NULL DEFAULT '1980.001',
"publish_down" timestamp NOT NULL DEFAULT '2100.001',
PRIMARY KEY ("product_id", "stock_id", "created", "version")
);
CREATE TABLE IF NOT EXISTS "#__anodos_price_type" (
"id" serial NOT NULL,
"name" varchar(255) NOT NULL,
"alias" varchar(255) NOT NULL,
"state" int NOT NULL DEFAULT '1',
"ordering" int8 NOT NULL DEFAULT '0',
"description" text NOT NULL DEFAULT '',
"created" timestamp NOT NULL DEFAULT '1980.001',
"created_by" int8 NOT NULL DEFAULT '0',
"modified" timestamp NOT NULL DEFAULT '1980.001',
"modified_by" int8 NOT NULL DEFAULT '0',
"publish_up" timestamp NOT NULL DEFAULT '1980.001',
"publish_down" timestamp NOT NULL DEFAULT '2100.001',
"metadata" text NOT NULL DEFAULT '',
PRIMARY KEY ("id")
);
CREATE TABLE IF NOT EXISTS "#__anodos_currency" (
"id" serial NOT NULL,
"name" varchar(255) NOT NULL,
"alias" char(3) NOT NULL,
"name_html" varchar(255) NOT NULL,
"state" int NOT NULL DEFAULT '1',
"ordering" int8 NOT NULL DEFAULT '0',
"description" text NOT NULL DEFAULT '',
"created" timestamp NOT NULL DEFAULT '1980.001',
"created_by" int8 NOT NULL DEFAULT '0',
"modified" timestamp NOT NULL DEFAULT '1980.001',
"modified_by" int8 NOT NULL DEFAULT '0',
"publish_up" timestamp NOT NULL DEFAULT '1980.001',
"publish_down" timestamp NOT NULL DEFAULT '2100.001',
"metadata" text NOT NULL DEFAULT '',
PRIMARY KEY ("id")
);
INSERT INTO "#__anodos_currency" (
"name",
"alias",
"name_html",
"state",
"ordering")
VALUES
('Российский рубль', 'RUB', 'р.', '1', '1'),
('Американский доллар', 'USD', '$', '1', '2'),
('Евро', 'EUR', '€', '1', '3');
CREATE TABLE IF NOT EXISTS "#__anodos_price" (
"stock_id" int8 NOT NULL REFERENCES "#__anodos_stock"("id"),
"product_id" int8 NOT NULL REFERENCES "#__anodos_product"("id"),
"created" timestamp NOT NULL,
"created_by" int8 NOT NULL DEFAULT '0',
"price" DECIMAL(13,2) NOT NULL,
"currency_id" int8 NOT NULL REFERENCES "#__anodos_currency"("id"),
"price_type_id" int NOT NULL REFERENCES "#__anodos_price_type"("id"),
"discount" DECIMAL(5,2) NOT NULL DEFAULT '0.0',
"state" int NOT NULL DEFAULT '1',
"modified" timestamp NOT NULL DEFAULT '1980.001',
"modified_by" int8 NOT NULL DEFAULT '0',
"publish_up" timestamp NOT NULL DEFAULT '1980.001',
"publish_down" timestamp NOT NULL DEFAULT '2100.001',
PRIMARY KEY ("stock_id", "product_id", "created")
);
CREATE TABLE IF NOT EXISTS "#__anodos_currency_rate" (
"currency_id" int8 NOT NULL REFERENCES "#__anodos_currency"("id"),
"rate_date" date NOT NULL,
"quantity" int8 NOT NULL DEFAULT '1',
"rate" DECIMAL(12,4) NOT NULL,
"state" int NOT NULL DEFAULT '1',
"created" timestamp NOT NULL DEFAULT '1980.001',
"created_by" int8 NOT NULL DEFAULT '0',
"modified" timestamp NOT NULL DEFAULT '1980.001',
"modified_by" int8 NOT NULL DEFAULT '0',
"publish_up" timestamp NOT NULL DEFAULT '1980.001',
"publish_down" timestamp NOT NULL DEFAULT '2100.001',
PRIMARY KEY ("rate_date", "currency_id")
);
INSERT INTO "#__anodos_currency_rate" (
"currency_id",
"rate_date",
"quantity",
"rate",
"state")
VALUES
('1', '1980.001', '1', '1', '1');
|
/* Since MySQL 8.0.18 (2019-10-14 GA) it is possible to profile query
* execution with EXPLAIN ANALYZE
* See https://dev.mysql.com/doc/refman/8.0/en/explain.html#explain-analyze
*/
/* Explain and analyze a hash join */
EXPLAIN ANALYZE
SELECT E.ename, E.sal, JS.sal_min, JS.sal_max
FROM emp E,
job_sal JS
WHERE E.job = JS.job
AND E.sal NOT BETWEEN JS.sal_min AND JS.sal_max;
/*
* +---------------------------------------------------------------------------------------------+
* | EXPLAIN |
* +---------------------------------------------------------------------------------------------+
* | -> Filter: (e.sal not between js.sal_min and js.sal_max) (cost=499211.71 rows=442901)
* (actual time=0.098..778.486 rows=915166 loops=1)
* -> Inner hash join (e.job = js.job) (cost=499211.71 rows=442901)
* (actual time=0.089..568.473 rows=1000014 loops=1)
* -> Table scan on E (cost=1962.39 rows=996514)
* (actual time=0.025..288.830 rows=1000014 loops=1)
* -> Hash
* -> Table scan on JS (cost=0.75 rows=5) (actual time=0.041..0.048 rows=5 loops=1) |
* +---------------------------------------------------------------------------------------------+
* 1 row in set (0.8240 sec)
*/
/* Explain and analyze a nested loop */
EXPLAIN ANALYZE
SELECT E.ename, E.job, D.dname
FROM dept D,
emp E
WHERE E.deptno = D.deptno
AND E.job = 'CLERK';
/*
* +---------------------------------------------------------------------------------------------+
* | EXPLAIN |
* +---------------------------------------------------------------------------------------------+
* | -> Nested loop inner join (cost=144308.94 rows=442815)
* (actual time=5.904..3281.472 rows=333278 loops=1)
* -> Table scan on D (cost=1.40 rows=4)
* (actual time=4.659..4.666 rows=4 loops=1)
* -> Filter: (e.job = 'CLERK') (cost=5627.35 rows=110704)
* (actual time=1.016..811.246 rows=83320 loops=4)
* -> Index lookup on E using fk_deptno (deptno=d.deptno) (cost=5627.35 rows=332171)
* (actual time=1.013..786.799 rows=250004 loops=4) |
* +---------------------------------------------------------------------------------------------+
* 1 row in set (3.3051 sec)
*
* first row -> 5.904 ≈ 5.675 = 4.659 + 1.016
* all rows -> 3 281.472 ≈ 3 249.65 = 4.666 + 4 * 811.246
*/
|
-- phpMyAdmin SQL Dump
-- version 5.0.2
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Waktu pembuatan: 07 Okt 2020 pada 20.14
-- Versi server: 10.4.14-MariaDB
-- Versi PHP: 7.4.10
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
START TRANSACTION;
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Database: `smartcity`
--
-- --------------------------------------------------------
--
-- Struktur dari tabel `kategori`
--
CREATE TABLE `kategori` (
`id_kategori` int(11) NOT NULL,
`nama_kategori` varchar(255) NOT NULL,
`gambar` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Struktur dari tabel `modal`
--
CREATE TABLE `modal` (
`id_modal` int(11) NOT NULL,
`gambar_modal` varchar(255) NOT NULL,
`deskripsi` varchar(255) NOT NULL,
`link` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Struktur dari tabel `status`
--
CREATE TABLE `status` (
`id_status` int(11) NOT NULL,
`jenis_status` enum('Aktif','Non Aktif','','') NOT NULL,
`level_status` enum('1. Akif','2. Non Aktif','','') NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Indexes for dumped tables
--
--
-- Indeks untuk tabel `kategori`
--
ALTER TABLE `kategori`
ADD PRIMARY KEY (`id_kategori`);
--
-- Indeks untuk tabel `modal`
--
ALTER TABLE `modal`
ADD PRIMARY KEY (`id_modal`);
--
-- Indeks untuk tabel `status`
--
ALTER TABLE `status`
ADD PRIMARY KEY (`id_status`);
--
-- AUTO_INCREMENT untuk tabel yang dibuang
--
--
-- AUTO_INCREMENT untuk tabel `kategori`
--
ALTER TABLE `kategori`
MODIFY `id_kategori` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT untuk tabel `modal`
--
ALTER TABLE `modal`
MODIFY `id_modal` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT untuk tabel `status`
--
ALTER TABLE `status`
MODIFY `id_status` int(11) NOT NULL AUTO_INCREMENT;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
Create Procedure mERP_sp_Insert_StockReconcile_Quantity(@ReconcileID Int, @ItemCode nvarchar(50), @PhysicalQty as Decimal(18,6), @ActualQty as Decimal(18,6), @Diff as Decimal(18,6), @nReconciled as Int, @BatchCode as nVarchar(Max), @Reason nVarchar(Max))
As
Begin
/*To Update the StockReconciled Status for Zero Batch Code Entry before inserting new batch for the same product*/
If Exists(Select Count(*) From ReconcileDetail Where ReconcileID = @ReconcileID And Product_code=@ItemCode And IsNull(Batch_code,'0') = '0' )
Begin
Update ReconcileDetail Set StockReconciled = 1 Where ReconcileID = @ReconcileID And Product_code=@ItemCode And IsNull(Batch_code,'0') = '0'
End
Insert into ReconcileDetail(ReconcileID,Product_code, PhysicalQuantity, ActualQuantity, [Difference],StockReconciled,Batch_code,Reason,NewBatch) values
(@ReconcileID, @ItemCode, @PhysicalQty, @ActualQty, @Diff, @nReconciled, @BatchCode, @Reason,1)
Select @@RowCount
End
|
DROP TABLE users;
CREATE TABLE users (
email varchar(255),
password varchar(255)
);
INSERT INTO users (email, password)
VALUES ("sam", "password");
INSERT INTO users (email, password)
VALUES ("ringo", "starr");
|
DROP TABLE IF EXISTS `product_video`;
|
USE TelerikAcademy
SELECT AVG(e.Salary) AS AverageSalary, d.Name AS Department, e.JobTitle
FROM Employees e
JOIN Departments d
ON e.DepartmentID = d.DepartmentID
GROUP BY d.Name, e.JobTitle |
explain plan
set statement_id='fast_frzn_amt_sum'
for select nvl(sum(aspiggyfrz0_.FAST_FRZN_AMT), 0) as col_0_0_
from AS_PIGGY_FRZ aspiggyfrz0_
where aspiggyfrz0_.DO_FRZN_STAT='0'
and aspiggyfrz0_.DIS_CODE=:1 and aspiggyfrz0_.APP_DT>=:2
explain plan
set statement_id='piggy_frz_query'
for select * from As_Piggy_Frz
select * from table(dbms_xplan.display);
|
-- phpMyAdmin SQL Dump
-- version 4.8.2
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Apr 17, 2019 at 03:32 PM
-- Server version: 10.1.34-MariaDB
-- PHP Version: 5.6.37
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: `elib`
--
-- --------------------------------------------------------
--
-- Table structure for table `book`
--
CREATE TABLE `book` (
`isbn` int(11) NOT NULL,
`title` varchar(100) NOT NULL,
`author` varchar(200) NOT NULL,
`price` int(11) NOT NULL,
`cover` varchar(200) DEFAULT NULL,
`Description` varchar(2000) DEFAULT NULL,
`image1` varchar(200) DEFAULT NULL,
`image2` varchar(200) DEFAULT NULL,
`paths` varchar(200) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `book`
--
INSERT INTO `book` (`isbn`, `title`, `author`, `price`, `cover`, `Description`, `image1`, `image2`, `paths`) VALUES
(2, 'Chemistry class 12 part1', 'NCERT', 50, 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/chem 12 part1.jpg', 'bibibisdfcgvhbjnkm, ghjkl nmml ', 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/chem 1.png', 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/chem.jpg', 'https://www.flexiprep.com/d/pdf/9528b3c3/NCERT-Class-12-Chemistry-Part-1.pdf'),
(3, 'Chem 11 part1', 'NCERT', 30, 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/chem 11 part1.jpg', 'Chemisrty Part1 for class 11 students', 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/chem 1.png', 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/chem.jpg', 'https://www.flexiprep.com/d/pdf/3046f8fc/NCERT-Class-11-Chemistry-Part-1.pdf'),
(4, 'Chem 11 part2', 'NCERT', 40, 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/chem 11 part2.jpg', 'Chemisrty book for class 11 students Part2', 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/chem.jpg', 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/chem 1.png', 'https://www.flexiprep.com/d/pdf/1a6e9f6d/NCERT-Class-11-Chemistry-Part-2.pdf'),
(5, 'Maths 11', 'NCERT', 60, 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/math 11.jpg', 'Maths Book for class 11 students', 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/math1.jpg', 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/math2.jpg', 'https://www.flexiprep.com/d/pdf/c57e7fd2/NCERT-Class-11-Mathematics.pdf'),
(6, 'Maths 12 part1', 'NCERT', 70, 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/math 12 part1.jpg', 'Maths Book for class 12 students part1', 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/math1.jpg', 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/math2.jpg', 'https://www.flexiprep.com/d/pdf/da25bfd9/NCERT-Class-12-Mathematics-Part-1.pdf'),
(7, 'Maths 12 part2', 'NCERT', 70, 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/maths 12 part2.jpg', 'Maths book for class 12 students part2', 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/math2.jpg', 'file:///C:/Users/Ashish Goel/eclipse-workspace/e_library/src/application/images/math1.jpg', 'https://www.flexiprep.com/d/pdf/5b9c4b92/NCERT-Class-12-Mathematics-Part-2.pdf');
-- --------------------------------------------------------
--
-- Table structure for table `cart`
--
CREATE TABLE `cart` (
`userid` int(11) NOT NULL,
`isbn` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Table structure for table `orders`
--
CREATE TABLE `orders` (
`orderid` int(11) NOT NULL,
`userid` int(11) NOT NULL,
`isbn` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `orders`
--
INSERT INTO `orders` (`orderid`, `userid`, `isbn`) VALUES
(1, 1, 1),
(2, 1, 2);
-- --------------------------------------------------------
--
-- Table structure for table `user`
--
CREATE TABLE `user` (
`userid` int(11) NOT NULL,
`name` varchar(100) DEFAULT NULL,
`pass` varchar(50) DEFAULT NULL,
`phone` char(10) NOT NULL DEFAULT '1234567890',
`email` varchar(100) NOT NULL DEFAULT 'aa@gmail.com',
`ccn` char(16) NOT NULL DEFAULT '1234567893692581',
`balance` int(11) NOT NULL DEFAULT '2000'
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `user`
--
INSERT INTO `user` (`userid`, `name`, `pass`, `phone`, `email`, `ccn`, `balance`) VALUES
(1, 'aashish', 'aashish', '1234567890', 'aa123@gmail.com', '1234567893692581', 2000),
(3, 'Aashish', 'aashish', '147852', 'aa@gmail.com', '14785239', 2000),
(4, 'aa', 'aas', '78', 'ass@gmail.com', '789456', 2000),
(5, 'aas', 'asd', '123', 'aas@gmailc.o', '1478', 2000);
--
-- Indexes for dumped tables
--
--
-- Indexes for table `book`
--
ALTER TABLE `book`
ADD PRIMARY KEY (`isbn`);
--
-- Indexes for table `cart`
--
ALTER TABLE `cart`
ADD PRIMARY KEY (`userid`,`isbn`);
--
-- Indexes for table `orders`
--
ALTER TABLE `orders`
ADD PRIMARY KEY (`orderid`);
--
-- Indexes for table `user`
--
ALTER TABLE `user`
ADD PRIMARY KEY (`userid`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `book`
--
ALTER TABLE `book`
MODIFY `isbn` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- AUTO_INCREMENT for table `orders`
--
ALTER TABLE `orders`
MODIFY `orderid` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT for table `user`
--
ALTER TABLE `user`
MODIFY `userid` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=6;
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 */;
|
-- clonar esquema para el dashboard
\c edca_generica
Create schema dashboard;
SELECT public.clone_schema('public', 'dashboard');
ALTER ROLE prueba_dashboard SET search_path TO dashboard;
|
ALTER TABLE YKT_CUR.T_TIF_REGISTER_PAY
DROP PRIMARY KEY CASCADE;
DROP TABLE YKT_CUR.T_TIF_REGISTER_PAY CASCADE CONSTRAINTS;
CREATE TABLE YKT_CUR.T_TIF_REGISTER_PAY
(
STUEMP_NO VARCHAR2(20 BYTE),
CUT_NAME VARCHAR2(60 BYTE) NOT NULL,
REGISTER_FLAG NUMBER NOT NULL,
REGISTER_INFO VARCHAR2(60 BYTE),
OPERATE_DATE VARCHAR2(10 BYTE),
OPERATE_TIME VARCHAR2(8 BYTE)
)
TABLESPACE TS_YKT_CUR
PCTUSED 0
PCTFREE 10
INITRANS 1
MAXTRANS 255
STORAGE (
INITIAL 64K
MINEXTENTS 1
MAXEXTENTS UNLIMITED
PCTINCREASE 0
BUFFER_POOL DEFAULT
)
LOGGING
NOCOMPRESS
NOCACHE
NOPARALLEL
MONITORING;
CREATE UNIQUE INDEX YKT_CUR.T_TIF_REGISTER_PAY_PK ON YKT_CUR.T_TIF_REGISTER_PAY
(STUEMP_NO)
LOGGING
TABLESPACE TS_YKT_CUR
PCTFREE 10
INITRANS 2
MAXTRANS 255
STORAGE (
INITIAL 64K
MINEXTENTS 1
MAXEXTENTS UNLIMITED
PCTINCREASE 0
BUFFER_POOL DEFAULT
)
NOPARALLEL;
ALTER TABLE YKT_CUR.T_TIF_REGISTER_PAY ADD (
CONSTRAINT T_TIF_REGISTER_PAY_PK
PRIMARY KEY
(STUEMP_NO)
USING INDEX
TABLESPACE TS_YKT_CUR
PCTFREE 10
INITRANS 2
MAXTRANS 255
STORAGE (
INITIAL 64K
MINEXTENTS 1
MAXEXTENTS UNLIMITED
PCTINCREASE 0
));
|
INSERT INTO `tb_oidc`
(`id`, `issuer`, `provider`, `registration`) VALUES
('1', 'https://self-issued.me', '
{
"authorization_endpoint":
"openid:",
"issuer":
"https://self-issued.me",
"scopes_supported":
["openid", "profile", "email", "address", "phone"],
"response_types_supported":
["id_token"],
"subject_types_supported":
["pairwise"],
"id_token_signing_alg_values_supported":
["RS256"],
"request_object_signing_alg_values_supported":
["none", "RS256"],
"registration_endpoint":
"https://self-issued.me/connect/register.php"
}',
'{
}'
);
INSERT INTO `tb_user`
(`id`, `email` ) VALUES
('1', 'izboran@gmail.com');
INSERT INTO `tb_user_info`
(`id`, `user_id`, `provider`, `display_name`, `given_name`, `family_name`) VALUES
('1', '1', 'google', 'Igor Zboran', 'Igor', 'Zboran');
INSERT INTO `tb_folder`
(`id`, `owner_id`, `mtime`, `locked`, `hidden`) VALUES
('1', '1', '1383910510', '0', '0');
INSERT INTO `tb_folder`
(`id`, `owner_id`, `mtime`, `locked`, `hidden`) VALUES
('2', '1', '1383910520', '0', '0');
INSERT INTO `tb_folder`
(`id`, `owner_id`, `mtime`, `locked`, `hidden`) VALUES
('3', '1', '1383910530', '0', '0');
INSERT INTO `tb_folder`
(`id`, `owner_id`, `mtime`, `locked`, `hidden`) VALUES
('4', '1', '1383910540', '0', '0');
INSERT INTO `tb_folder`
(`id`, `owner_id`, `mtime`, `locked`, `hidden`) VALUES
('5', '1', '1383910550', '0', '0');
INSERT INTO `tb_folder`
(`id`, `owner_id`, `mtime`, `locked`, `hidden`) VALUES
('6', '1', '1383910560', '0', '0');
INSERT INTO `tb_folder`
(`id`, `owner_id`, `mtime`, `locked`, `hidden`) VALUES
('7', '1', '1383910570', '0', '0');
INSERT INTO `tb_folder`
(`id`, `owner_id`, `mtime`, `locked`, `hidden`) VALUES
('8', '1', '1383910580', '0', '0');
INSERT INTO `tb_folder`
(`id`, `owner_id`, `mtime`, `locked`, `hidden`) VALUES
('9', '1', '1383910590', '0', '0');
INSERT INTO `tb_file`
(`id`, `owner_id`, `content`, `mime`, `size`, `mtime`, `locked`, `hidden`) VALUES
('1000000001', '1', '1', 'text/plain', '1', '1383920510', '0', '0');
INSERT INTO `tb_file`
(`id`, `owner_id`, `content`, `mime`, `size`, `mtime`, `locked`, `hidden`) VALUES
('1000000002', '1', '11', 'text/plain', '2', '1383920520', '0', '0');
INSERT INTO `tb_file`
(`id`, `owner_id`, `content`, `mime`, `size`, `mtime`, `locked`, `hidden`) VALUES
('1000000003', '1', '2', 'text/plain', '1', '1383920530', '0', '0');
INSERT INTO `tb_file`
(`id`, `owner_id`, `content`, `mime`, `size`, `mtime`, `locked`, `hidden`) VALUES
('1000000004', '1', '4', 'text/plain', '1', '1383920540', '0', '0');
INSERT INTO `tb_file`
(`id`, `owner_id`, `content`, `mime`, `size`, `mtime`, `locked`, `hidden`) VALUES
('1000000005', '1', '1', 'text/plain', '1', '1383920550', '0', '0');
INSERT INTO `tb_file`
(`id`, `owner_id`, `content`, `mime`, `size`, `mtime`, `locked`, `hidden`) VALUES
('1000000006', '1', '2', 'text/plain', '1', '1383920560', '0', '0');
INSERT INTO `tb_file`
(`id`, `owner_id`, `content`, `mime`, `size`, `mtime`, `locked`, `hidden`) VALUES
('1000000007', '1', '1', 'text/plain', '1', '1383920570', '0', '0');
INSERT INTO `tb_file`
(`id`, `owner_id`, `content`, `mime`, `size`, `mtime`, `locked`, `hidden`) VALUES
('1000000008', '1', '1', 'text/plain', '1', '1383920580', '0', '0');
INSERT INTO `tb_file`
(`id`, `owner_id`, `content`, `mime`, `size`, `mtime`, `locked`, `hidden`) VALUES
('1000000009', '1', '11', 'text/plain', '2', '1383920590', '0', '0');
INSERT INTO `tb_file`
(`id`, `owner_id`, `content`, `mime`, `size`, `mtime`, `locked`, `hidden`) VALUES
('1000000010', '1', '2', 'text/plain', '1', '1383920600', '0', '0');
INSERT INTO `tb_file`
(`id`, `owner_id`, `content`, `mime`, `size`, `mtime`, `locked`, `hidden`) VALUES
('1000000011', '1', '3', 'text/plain', '1', '1383920610', '0', '0');
INSERT INTO `tb_folder_link`
(`id`, `user_id`, `parent_id`, `folder_id`, `name`, `mtime`, `read`, `write`) VALUES
('1001', '1', NULL, '1', 'Shared', '1383930510', '1', '1');
INSERT INTO `tb_folder_link`
(`id`, `user_id`, `parent_id`, `folder_id`, `name`, `mtime`, `read`, `write`) VALUES
('1002', '1', '1', '2', 'dir1', '1383930520', '1', '1');
INSERT INTO `tb_folder_link`
(`id`, `user_id`, `parent_id`, `folder_id`, `name`, `mtime`, `read`, `write`) VALUES
('1003', '1', '1', '3', 'dir11', '1383930530', '1', '1');
INSERT INTO `tb_folder_link`
(`id`, `user_id`, `parent_id`, `folder_id`, `name`, `mtime`, `read`, `write`) VALUES
('1004', '1', '1', '4', 'dir2', '1383930540', '1', '1');
INSERT INTO `tb_folder_link`
(`id`, `user_id`, `parent_id`, `folder_id`, `name`, `mtime`, `read`, `write`) VALUES
('1005', '1', '1', '5', 'emptydir', '1383930550', '1', '1');
INSERT INTO `tb_folder_link`
(`id`, `user_id`, `parent_id`, `folder_id`, `name`, `mtime`, `read`, `write`) VALUES
('1006', '1', '1', '6', 'nonemptydir', '1383930560', '1', '1');
INSERT INTO `tb_folder_link`
(`id`, `user_id`, `parent_id`, `folder_id`, `name`, `mtime`, `read`, `write`) VALUES
('1007', '1', '1', '7', 'walk', '1383930570', '1', '1');
INSERT INTO `tb_folder_link`
(`id`, `user_id`, `parent_id`, `folder_id`, `name`, `mtime`, `read`, `write`) VALUES
('1008', '1', '7', '8', 'dir1', '1383930580', '1', '1');
INSERT INTO `tb_folder_link`
(`id`, `user_id`, `parent_id`, `folder_id`, `name`, `mtime`, `read`, `write`) VALUES
('1009', '1', '7', '9', 'dir2', '1383930590', '1', '1');
INSERT INTO `tb_file_link`
(`id`, `user_id`, `parent_id`, `file_id`, `name`, `mtime`, `read`, `write`) VALUES
('1000001001', '1', '2', '1000000001', '1.txt', '1383940510', '1', '1');
INSERT INTO `tb_file_link`
(`id`, `user_id`, `parent_id`, `file_id`, `name`, `mtime`, `read`, `write`) VALUES
('1000001002', '1', '3', '1000000002', '11.txt', '1383940520', '1', '1');
INSERT INTO `tb_file_link`
(`id`, `user_id`, `parent_id`, `file_id`, `name`, `mtime`, `read`, `write`) VALUES
('1000001003', '1', '4', '1000000003', '2.txt', '1383940530', '1', '1');
INSERT INTO `tb_file_link`
(`id`, `user_id`, `parent_id`, `file_id`, `name`, `mtime`, `read`, `write`) VALUES
('1000001004', '1', '6', '1000000004', '4.txt', '1383940540', '1', '1');
INSERT INTO `tb_file_link`
(`id`, `user_id`, `parent_id`, `file_id`, `name`, `mtime`, `read`, `write`) VALUES
('1000001005', '1', '8', '1000000005', '1.txt', '1383940550', '1', '1');
INSERT INTO `tb_file_link`
(`id`, `user_id`, `parent_id`, `file_id`, `name`, `mtime`, `read`, `write`) VALUES
('1000001006', '1', '9', '1000000006', '2.txt', '1383940560', '1', '1');
INSERT INTO `tb_file_link`
(`id`, `user_id`, `parent_id`, `file_id`, `name`, `mtime`, `read`, `write`) VALUES
('1000001007', '1', '7', '1000000007', '1.txt', '1383940570', '1', '1');
INSERT INTO `tb_file_link`
(`id`, `user_id`, `parent_id`, `file_id`, `name`, `mtime`, `read`, `write`) VALUES
('1000001008', '1', '1', '1000000008', '1.txt', '1383940580', '1', '1');
INSERT INTO `tb_file_link`
(`id`, `user_id`, `parent_id`, `file_id`, `name`, `mtime`, `read`, `write`) VALUES
('1000001009', '1', '1', '1000000009', '11.txt', '1383940590', '1', '1');
INSERT INTO `tb_file_link`
(`id`, `user_id`, `parent_id`, `file_id`, `name`, `mtime`, `read`, `write`) VALUES
('1000001010', '1', '1', '1000000010', '2.txt', '1383940600', '1', '1');
INSERT INTO `tb_file_link`
(`id`, `user_id`, `parent_id`, `file_id`, `name`, `mtime`, `read`, `write`) VALUES
('1000001011', '1', '1', '1000000011', '3.txt', '1383940610', '1', '1');
|
SELECT siteid, sitename, sitecolor
FROM worksite;
============
DELETE FROM worksite WHERE siteid = 14;
ALTER table worksite
Alter column sitecolor type BYTEA;
DROP
table worksite
CReate Table worksite
(
siteid serial,
sitename varchar(100),
red varchar(10),
green varchar(10),
blue varchar(10),
)
|
CREATE OR REPLACE VIEW Alarm_History_View AS
SELECT
a.tid_id AS tid_id,
t.name AS tid,
i.id AS interface_id,
i.name AS ifname,
f.id AS facilityid,
f.name AS facility,
f.customer_id AS customer_id,
c.name as customer,
to_char(a.acknowledge_date, 'MM-DD-YYYY HH24:MI:SS') AS acktime,
to_char(a.timeentered, 'MM-DD-YYYY HH24:MI:SS') AS thetime,
a.cause AS cause,
a.timeentered AS timeentered,
a.ticketnum AS ticketnum,
a.initials as initials
FROM
alarms a,
tid_facility_map tfm,
facilities f,
customers c,
interfaces i,
tids t
WHERE
a.tid_id = tfm.tid_id
AND a.interface_id = tfm.interface_id
AND f.id = tfm.facility_id
AND c.id = f.customer_id
AND i.id = a.interface_id
AND t.id = a.tid_id
ORDER BY
a.timeentered
;
COMMIT;
|
CREATE TABLE IF NOT EXISTS venda (
id bigint not null unique auto_increment primary key,
cliente_id bigint,
fornecedor_id bigint,
data_compra date not null,
total_compra decimal(10,2),
CHECK (total_compra >= 0),
FOREIGN KEY (cliente_id) REFERENCES cliente(id) ON DELETE SET NULL ON UPDATE CASCADE,
FOREIGN KEY (fornecedor_id) REFERENCES fornecedor(id) ON DELETE SET NULL ON UPDATE CASCADE
) ENGINE = innoDB default charset = utf8mb4;
INSERT INTO venda (id, cliente_id, fornecedor_id, data_compra, total_compra) values
(1, 1, 1, '2020-11-29', 12000.00),
(2, 2, 2, '2020-11-30', 7800.50);
CREATE TABLE IF NOT EXISTS venda_produto (
id bigint not null unique auto_increment primary key,
venda_id bigint not null,
produto_id bigint,
FOREIGN KEY (venda_id) REFERENCES venda(id) ON DELETE CASCADE ON UPDATE CASCADE,
FOREIGN KEY (produto_id) REFERENCES produto(id) ON DELETE SET NULL ON UPDATE CASCADE
) ENGINE = innoDB default charset = utf8mb4;
INSERT INTO venda_produto (id, venda_id, produto_id) values
(1, 1, 1),
(2, 1, 2),
(3, 2, 3),
(4, 2, 4); |
/*
* Starts the rolling sum of incidents
*/
SELECT Site, StudentID, Date, TermName, TermOrder, Cnt,
SUM(Cnt) OVER (PARTITION BY StudentID, TermName ORDER BY CONVERT(Date,Date)) as RunTotal,
ROW_NUMBER() OVER (PARTITION BY StudentID, TermName ORDER BY StudentID, CONVERT(Date,DATE)) as DayNum
FROM ZZ_TEST_BB_RollingAttendance_Prep4_5
ORDER BY StudentID, CONVERT(Date,Date) |
SELECT
strftime('%Y',
a."Buchung") as Jahr,
strftime('%m',
a."Buchung") as Monat,
typ3,
count(*) Anzahl,
sum(a.Betrag) Betrag
FROM
hhdata_transaktion a
left join hhdata_hierachie b on a.typ = b.typ1
group by
typ3,
Jahr,
Monat |
SELECT 'All Averages To Date, Sunday - Saturday';
SELECT ROUND(avg(sunday_hours),2),
ROUND(avg(monday_hours),2),
ROUND(avg(tuesday_hours),2),
ROUND(avg(wednesday_hours),2),
ROUND(avg(thursday_hours),2),
ROUND(avg(friday_hours),2),
ROUND(avg(saturday_hours),2)
FROM studio_hours;
SELECT 'April 2018 Averages Sunday - Saturday';
SELECT ROUND(avg(sunday_hours),2),
ROUND(avg(monday_hours),2),
ROUND(avg(tuesday_hours),2),
ROUND(avg(wednesday_hours),2),
ROUND(avg(thursday_hours),2),
ROUND(avg(friday_hours),2),
ROUND(avg(saturday_hours),2)
FROM studio_hours
WHERE month = 'April';
SELECT 'May 2018 Averages Sunday - Saturday';
SELECT ROUND(avg(sunday_hours),2),
ROUND(avg(monday_hours),2),
ROUND(avg(tuesday_hours),2),
ROUND(avg(wednesday_hours),2),
ROUND(avg(thursday_hours),2),
ROUND(avg(friday_hours),2),
ROUND(avg(saturday_hours),2)
FROM studio_hours
WHERE month = 'May';
SELECT 'June 2018 Averages Sunday - Saturday';
SELECT ROUND(avg(sunday_hours),2),
ROUND(avg(monday_hours),2),
ROUND(avg(tuesday_hours),2),
ROUND(avg(wednesday_hours),2),
ROUND(avg(thursday_hours),2),
ROUND(avg(friday_hours),2),
ROUND(avg(saturday_hours),2)
FROM studio_hours
WHERE month = 'June';
SELECT 'April 2018 Averages Sunday - Saturday';
SELECT ROUND(avg(sunday_hours),2),
ROUND(avg(monday_hours),2),
ROUND(avg(tuesday_hours),2),
ROUND(avg(wednesday_hours),2),
ROUND(avg(thursday_hours),2),
ROUND(avg(friday_hours),2),
ROUND(avg(saturday_hours),2)
FROM studio_hours
WHERE month = 'July';
|
DELETE FROM `type_callbacks`
WHERE `id` = ?; |
/*
Navicat MySQL Data Transfer
Source Server : lby
Source Server Version : 50528
Source Host : localhost:3306
Source Database : yjbest
Target Server Type : MYSQL
Target Server Version : 50528
File Encoding : 65001
Date: 2015-04-09 14:29:43
*/
SET FOREIGN_KEY_CHECKS=0;
-- ----------------------------
-- Table structure for `decoration_info`
-- ----------------------------
DROP TABLE IF EXISTS `decoration_info`;
CREATE TABLE `decoration_info` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(255) DEFAULT NULL,
`logo` varchar(255) DEFAULT NULL,
`introduce` varchar(1600) DEFAULT NULL,
`file` varchar(255) DEFAULT NULL,
`producter` varchar(255) DEFAULT NULL,
`tel` varchar(255) DEFAULT NULL,
`landline` varchar(255) DEFAULT NULL,
`address` varchar(600) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of decoration_info
-- ----------------------------
|
DESCRIBE classes
DROP TABLE classes
SELECT * FROM classes
INSERT INTO classes (className, classDescription, classSchedule, classPrerequisit, classPrice) VALUES ("SCUBA", "lorem ipsum lorem ipsum lorem ipsum lorem ipsum lorem ipsum lorem ipsum lorem ", "monday-friday", "SCUBA and some more shit", 300);
INSERT INTO classes (className, classDescription, classSchedule, classPrerequisit, classPrice) VALUES ("SCUBA Diving", "lorem ipsum lorem ipsum lorem ipsum lorem ipsum lorem ipsum lorem ipsum ","monday-friday", "SCUBA and some more shit", 400);
INSERT INTO classes (className, classDescription, classSchedule, classPrerequisit, classPrice) VALUES ("SCUBA Steve's SCUBA class", "lorem ipsum lorem ipsum lorem ipsum lorem ipsum lorem ipsum ","monday-friday", "SCUBA and some more shit", 1300); |
insert into user (username, password_hash, email, isAdmin) values ('ADMIN', 'admin','none', 1);
insert into biome values (1, 'Temperate deciduous forest');
insert into biome values (2, 'Coniferous forest');
insert into biome values (3, 'Woodland');
insert into biome values (4, 'Chaparral');
insert into biome values (5, 'Tundra');
insert into biome values (6, 'Grassland');
insert into biome values (7, 'Desert');
insert into biome values (8, 'Tropical savanna');
insert into biome values (9, 'Tropical forest');
insert into biome values (10, 'Oceanic plankton and nekton');
insert into biome values (11, 'Balanoid-gastropod-thallophyte');
insert into biome values (12, 'Pelecypod-annelid');
insert into biome values (13, 'Coral reef');
insert into location values (1, 'Angolan Miombo woodlands');
insert into location values (2, 'Angolan Mopane woodlands');
insert into location values (3, 'Central Zambezian Miombo woodlands');
insert into location values (4, 'Eastern Miombo woodlands');
insert into location values (5, 'Kalahari Acacia-Baikiaea woodlands');
insert into location values (6, 'Zambezian and Mopane woodlands');
insert into location values (7, 'Zambezian Baikiaea woodlands');
insert into location values (8, 'Cerrado woodlands');
insert into location_biome values (1, 3);
insert into location_biome values (2, 3);
insert into location_biome values (3, 3);
insert into location_biome values (4, 3);
insert into location_biome values (5, 3);
insert into location_biome values (6, 3);
insert into location_biome values (7, 3);
insert into location_biome values (8, 3);
insert into organism values (1, 'Giant sable antelope', 'Hippotragus niger variani', 'Animal');
insert into organism values (2, "Vernay's climbing mouse", 'Dendromus vernayi', 'Animal');
insert into organism values (3, 'Giraffe', 'Giraffa', 'Animal');
insert into organism values (4, 'Cape bushbuck', 'Tragelaphus sylvaticus', 'Animal');
insert into organism values (5, 'Blue duiker', 'Philantomba monticola', 'Animal');
insert into organism values (6, 'Yellow-backed duiker', 'Cephalophus silvicultor', 'Animal');
insert into organism values (7, 'Sitatunga', 'Tragelaphus spekii', 'Animal');
insert into organism values (8, 'Waterbuck', 'Kobus ellipsiprymnus', 'Animal');
insert into organism values (9, 'Tsessebe', 'Damaliscus lunatus lunatus', 'Animal');
insert into organism values (10, 'Hippopotamus', 'Hippopotamus amphibius', 'Animal');
insert into organism_location values (1, 1);
insert into organism_location values (2, 1);
insert into organism_location values (3, 1);
insert into organism_location values (4, 1);
insert into organism_location values (5, 1);
insert into organism_location values (6, 1);
insert into organism_location values (7, 1);
insert into organism_location values (8, 1);
insert into organism_location values (9, 1);
insert into organism_location values (10, 1);
|
CREATE procedure sp_acc_retrieveleafaccounts(@accountgroup integer)
as
select accountid,accountname,groupid,Active from accountsmaster where [GroupID]=@accountgroup
|
-- phpMyAdmin SQL Dump
-- version 4.7.4
-- https://www.phpmyadmin.net/
--
-- Servidor: 127.0.0.1
-- Tiempo de generación: 12-06-2020 a las 06:42:40
-- Versión del servidor: 10.1.29-MariaDB
-- Versión de PHP: 7.2.0
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 */;
--
-- Base de datos: `workteams`
--
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `calificacionusuario`
--
CREATE TABLE `calificacionusuario` (
`idCalificacion` int(11) NOT NULL,
`idProyecto` int(11) NOT NULL,
`idCalificador` int(11) NOT NULL,
`idCalificado` int(11) NOT NULL,
`calificacion` int(11) NOT NULL,
`comentario` varchar(200) COLLATE utf8_spanish_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_spanish_ci;
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `comentariosproyecto`
--
CREATE TABLE `comentariosproyecto` (
`idComPro` int(11) NOT NULL,
`idProyecto` int(11) NOT NULL,
`fechaHora` varchar(22) COLLATE utf8_spanish_ci NOT NULL,
`comentario` varchar(500) COLLATE utf8_spanish_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_spanish_ci;
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `comentariosrelease`
--
CREATE TABLE `comentariosrelease` (
`idComentario` int(11) NOT NULL,
`idTarea` int(11) NOT NULL,
`fechaHora` varchar(22) COLLATE utf8_spanish_ci NOT NULL,
`comentario` varchar(500) COLLATE utf8_spanish_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_spanish_ci;
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `estado`
--
CREATE TABLE `estado` (
`idEstado` int(11) NOT NULL,
`nomEstado` varchar(20) COLLATE utf8_spanish_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_spanish_ci;
--
-- Volcado de datos para la tabla `estado`
--
INSERT INTO `estado` (`idEstado`, `nomEstado`) VALUES
(1, 'Sin Asignar'),
(2, 'Asignado'),
(3, 'En Curso'),
(4, 'Finalizado');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `participantes`
--
CREATE TABLE `participantes` (
`idProyecto` int(11) NOT NULL,
`idUsuario` int(11) NOT NULL,
`rol` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_spanish_ci;
--
-- Volcado de datos para la tabla `participantes`
--
INSERT INTO `participantes` (`idProyecto`, `idUsuario`, `rol`) VALUES
(3, 13, 1),
(1, 14, 2),
(1, 13, 1),
(1, 15, 3),
(1, 16, 3),
(4, 13, 1),
(4, 14, 2),
(4, 15, 3),
(4, 16, 3);
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `proyecto`
--
CREATE TABLE `proyecto` (
`idProyecto` int(11) NOT NULL,
`propietario` int(11) NOT NULL,
`nombre` varchar(30) COLLATE utf8_spanish_ci NOT NULL,
`descripcion` varchar(512) COLLATE utf8_spanish_ci NOT NULL,
`fechaInicio` varchar(12) COLLATE utf8_spanish_ci NOT NULL,
`fechaFin` varchar(12) COLLATE utf8_spanish_ci NOT NULL,
`numRelease` int(11) NOT NULL,
`estado` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_spanish_ci;
--
-- Volcado de datos para la tabla `proyecto`
--
INSERT INTO `proyecto` (`idProyecto`, `propietario`, `nombre`, `descripcion`, `fechaInicio`, `fechaFin`, `numRelease`, `estado`) VALUES
(1, 13, 'Proyecto Prueba', 'Proyecto para desarrollar', '09/06/2020', '12/12/2020', 10, 1),
(2, 13, 'Prueba dos', 'Proyecto para desarrollar con todo', '05/05/2020', '10/09/2020', 15, 1),
(3, 13, 'Proyecto 3', 'Descripción Proyecto 3', '10/06/2020', '17/06/2020', 8, 1),
(4, 13, 'Proyecto PruebaE', 'Descripción Proyecto E', '11/06/2020', '02/07/2020', 3, 1);
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `release`
--
CREATE TABLE `release` (
`idRelease` int(11) NOT NULL,
`idProyecto` int(11) NOT NULL,
`fechaInicio` varchar(12) COLLATE utf8_spanish_ci NOT NULL,
`fechaFin` varchar(12) COLLATE utf8_spanish_ci NOT NULL,
`estado` int(11) NOT NULL,
`numHistorias` int(11) NOT NULL,
`totalH` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_spanish_ci;
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `rol`
--
CREATE TABLE `rol` (
`idRol` int(11) NOT NULL,
`nombreRol` varchar(12) COLLATE utf8_spanish_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_spanish_ci;
--
-- Volcado de datos para la tabla `rol`
--
INSERT INTO `rol` (`idRol`, `nombreRol`) VALUES
(1, 'Lider'),
(2, 'Stakeholder'),
(3, 'Programador');
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `tarea`
--
CREATE TABLE `tarea` (
`idTarea` int(11) NOT NULL,
`idProyecto` int(11) NOT NULL,
`nombreTarea` varchar(30) COLLATE utf8_spanish_ci NOT NULL,
`numTarea` int(11) NOT NULL,
`descripcion` varchar(300) COLLATE utf8_spanish_ci NOT NULL,
`asignado` int(11) DEFAULT NULL,
`estado` int(11) NOT NULL,
`puntos` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_spanish_ci;
--
-- Volcado de datos para la tabla `tarea`
--
INSERT INTO `tarea` (`idTarea`, `idProyecto`, `nombreTarea`, `numTarea`, `descripcion`, `asignado`, `estado`, `puntos`) VALUES
(2, 1, 'Tarea 1', 1, 'Descripción Tarea 1', NULL, 1, 5),
(3, 1, 'Tarea 2', 2, 'Descripción Tarea 2', NULL, 1, 5),
(4, 1, 'Tarea 3', 3, 'Descripción Tarea 3', NULL, 1, 13),
(5, 1, 'Tarea 4', 4, 'Descripción Tarea 4', NULL, 1, 13),
(6, 1, 'Tarea 5', 5, 'Descipción Tarea 5', NULL, 1, 5),
(7, 1, 'Tarea 6', 6, 'Descripción Historia 6', NULL, 1, 5),
(8, 1, 'Tarea 7', 7, 'Descripción Historia 7', NULL, 1, 8),
(9, 1, 'Tarea 8', 8, 'Descripción Historia 8', NULL, 1, 8),
(10, 4, 'Tarea 1', 1, 'Descripción Historia 1', NULL, 1, 1),
(11, 4, 'Tarea 2', 2, 'Descripción Historia 2', NULL, 1, 2),
(12, 4, 'Tarea 3', 3, 'Descripción Historia 3', NULL, 1, 3),
(13, 4, 'Tarea 4', 4, 'Descripción Historia 4', NULL, 1, 5),
(14, 4, 'Tarea 5', 5, 'Descripción Historia 5', NULL, 1, 8),
(15, 4, 'Tarea 6', 6, 'Descripción Historia 6', NULL, 1, 13),
(16, 4, 'Tarea 7', 7, 'Descripción Historia 7', NULL, 1, 20),
(17, 4, 'Tarea 8', 8, 'Descripción Historia 8', NULL, 1, 2),
(18, 4, 'Tarea 9', 9, 'Descripción Historia 9', NULL, 1, 3),
(19, 4, 'Tarea 10', 10, 'Descripción Historia 10', NULL, 1, 3),
(20, 4, 'Tarea 11', 11, 'Descripción Historia 11', NULL, 1, 5),
(21, 4, 'Tarea 12', 12, 'Descripción Historia 12', NULL, 1, 5);
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `tareasrelease`
--
CREATE TABLE `tareasrelease` (
`idRelease` int(11) NOT NULL,
`idTarea` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_spanish_ci;
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `usuario`
--
CREATE TABLE `usuario` (
`idUsuario` int(11) NOT NULL,
`nombre` varchar(25) COLLATE utf8_spanish_ci NOT NULL,
`aPaterno` varchar(25) COLLATE utf8_spanish_ci NOT NULL,
`aMaterno` varchar(25) COLLATE utf8_spanish_ci NOT NULL,
`usuario` varchar(15) COLLATE utf8_spanish_ci NOT NULL,
`contrasena` varchar(12) COLLATE utf8_spanish_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_spanish_ci;
--
-- Volcado de datos para la tabla `usuario`
--
INSERT INTO `usuario` (`idUsuario`, `nombre`, `aPaterno`, `aMaterno`, `usuario`, `contrasena`) VALUES
(13, 'Jorge Alberto', 'López', 'Aragón', 'jlopeza', '123456'),
(14, 'Esteban', 'Calixto', 'Cruz', 'shibak7', '123456'),
(15, 'Jiuber', 'Monfil', 'Quijano', 'JiuberMQ', '123456'),
(16, 'Juan Pablo', 'Flores', 'Cabañas', 'juapi', '123456');
--
-- Índices para tablas volcadas
--
--
-- Indices de la tabla `calificacionusuario`
--
ALTER TABLE `calificacionusuario`
ADD PRIMARY KEY (`idCalificacion`),
ADD KEY `idProyecto` (`idProyecto`),
ADD KEY `idCalificador` (`idCalificador`),
ADD KEY `idCalificado` (`idCalificado`);
--
-- Indices de la tabla `comentariosproyecto`
--
ALTER TABLE `comentariosproyecto`
ADD PRIMARY KEY (`idComPro`),
ADD KEY `idProyecto` (`idProyecto`);
--
-- Indices de la tabla `comentariosrelease`
--
ALTER TABLE `comentariosrelease`
ADD PRIMARY KEY (`idComentario`),
ADD KEY `idTarea` (`idTarea`);
--
-- Indices de la tabla `estado`
--
ALTER TABLE `estado`
ADD PRIMARY KEY (`idEstado`);
--
-- Indices de la tabla `participantes`
--
ALTER TABLE `participantes`
ADD KEY `idProyecto` (`idProyecto`),
ADD KEY `idUsuario` (`idUsuario`),
ADD KEY `rol` (`rol`);
--
-- Indices de la tabla `proyecto`
--
ALTER TABLE `proyecto`
ADD PRIMARY KEY (`idProyecto`),
ADD KEY `propietario` (`propietario`),
ADD KEY `estado` (`estado`);
--
-- Indices de la tabla `release`
--
ALTER TABLE `release`
ADD PRIMARY KEY (`idRelease`),
ADD KEY `idProyecto` (`idProyecto`),
ADD KEY `estado` (`estado`);
--
-- Indices de la tabla `rol`
--
ALTER TABLE `rol`
ADD PRIMARY KEY (`idRol`);
--
-- Indices de la tabla `tarea`
--
ALTER TABLE `tarea`
ADD PRIMARY KEY (`idTarea`),
ADD KEY `idProyecto` (`idProyecto`),
ADD KEY `estado` (`estado`);
--
-- Indices de la tabla `tareasrelease`
--
ALTER TABLE `tareasrelease`
ADD KEY `idRelease` (`idRelease`),
ADD KEY `idTarea` (`idTarea`);
--
-- Indices de la tabla `usuario`
--
ALTER TABLE `usuario`
ADD PRIMARY KEY (`idUsuario`);
--
-- AUTO_INCREMENT de las tablas volcadas
--
--
-- AUTO_INCREMENT de la tabla `calificacionusuario`
--
ALTER TABLE `calificacionusuario`
MODIFY `idCalificacion` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT de la tabla `comentariosproyecto`
--
ALTER TABLE `comentariosproyecto`
MODIFY `idComPro` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT de la tabla `comentariosrelease`
--
ALTER TABLE `comentariosrelease`
MODIFY `idComentario` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT de la tabla `estado`
--
ALTER TABLE `estado`
MODIFY `idEstado` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT de la tabla `proyecto`
--
ALTER TABLE `proyecto`
MODIFY `idProyecto` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT de la tabla `release`
--
ALTER TABLE `release`
MODIFY `idRelease` int(11) NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT de la tabla `rol`
--
ALTER TABLE `rol`
MODIFY `idRol` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=4;
--
-- AUTO_INCREMENT de la tabla `tarea`
--
ALTER TABLE `tarea`
MODIFY `idTarea` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=22;
--
-- AUTO_INCREMENT de la tabla `usuario`
--
ALTER TABLE `usuario`
MODIFY `idUsuario` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=17;
--
-- Restricciones para tablas volcadas
--
--
-- Filtros para la tabla `calificacionusuario`
--
ALTER TABLE `calificacionusuario`
ADD CONSTRAINT `calificacionusuario_ibfk_1` FOREIGN KEY (`idProyecto`) REFERENCES `proyecto` (`idProyecto`),
ADD CONSTRAINT `calificacionusuario_ibfk_2` FOREIGN KEY (`idCalificador`) REFERENCES `usuario` (`idUsuario`),
ADD CONSTRAINT `calificacionusuario_ibfk_3` FOREIGN KEY (`idCalificado`) REFERENCES `usuario` (`idUsuario`);
--
-- Filtros para la tabla `comentariosproyecto`
--
ALTER TABLE `comentariosproyecto`
ADD CONSTRAINT `comentariosproyecto_ibfk_1` FOREIGN KEY (`idProyecto`) REFERENCES `proyecto` (`idProyecto`);
--
-- Filtros para la tabla `comentariosrelease`
--
ALTER TABLE `comentariosrelease`
ADD CONSTRAINT `comentariosrelease_ibfk_1` FOREIGN KEY (`idTarea`) REFERENCES `tarea` (`idTarea`);
--
-- Filtros para la tabla `participantes`
--
ALTER TABLE `participantes`
ADD CONSTRAINT `participantes_ibfk_1` FOREIGN KEY (`idProyecto`) REFERENCES `proyecto` (`idProyecto`),
ADD CONSTRAINT `participantes_ibfk_2` FOREIGN KEY (`idUsuario`) REFERENCES `usuario` (`idUsuario`),
ADD CONSTRAINT `participantes_ibfk_3` FOREIGN KEY (`rol`) REFERENCES `rol` (`idRol`);
--
-- Filtros para la tabla `proyecto`
--
ALTER TABLE `proyecto`
ADD CONSTRAINT `proyecto_ibfk_1` FOREIGN KEY (`propietario`) REFERENCES `usuario` (`idUsuario`),
ADD CONSTRAINT `proyecto_ibfk_2` FOREIGN KEY (`estado`) REFERENCES `estado` (`idEstado`);
--
-- Filtros para la tabla `release`
--
ALTER TABLE `release`
ADD CONSTRAINT `release_ibfk_1` FOREIGN KEY (`estado`) REFERENCES `estado` (`idEstado`),
ADD CONSTRAINT `release_ibfk_2` FOREIGN KEY (`idProyecto`) REFERENCES `proyecto` (`idProyecto`);
--
-- Filtros para la tabla `tarea`
--
ALTER TABLE `tarea`
ADD CONSTRAINT `tarea_ibfk_1` FOREIGN KEY (`idProyecto`) REFERENCES `proyecto` (`idProyecto`),
ADD CONSTRAINT `tarea_ibfk_3` FOREIGN KEY (`estado`) REFERENCES `estado` (`idEstado`);
--
-- Filtros para la tabla `tareasrelease`
--
ALTER TABLE `tareasrelease`
ADD CONSTRAINT `tareasrelease_ibfk_1` FOREIGN KEY (`idRelease`) REFERENCES `release` (`idRelease`),
ADD CONSTRAINT `tareasrelease_ibfk_2` FOREIGN KEY (`idTarea`) REFERENCES `tarea` (`idTarea`);
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 */;
|
-- phpMyAdmin SQL Dump
-- version 4.0.4.1
-- http://www.phpmyadmin.net
--
-- Machine: 127.0.0.1
-- Genereertijd: 02 dec 2014 om 21:30
-- Serverversie: 5.6.21
-- PHP-versie: 5.5.14
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
--
-- Databank: `whiteboard`
--
CREATE DATABASE IF NOT EXISTS `whiteboard` DEFAULT CHARACTER SET utf8 COLLATE utf8_general_ci;
USE `whiteboard`;
-- --------------------------------------------------------
--
-- Tabelstructuur voor tabel `wb_board_objects`
--
CREATE TABLE IF NOT EXISTS `wb_board_objects` (
`id` int(255) NOT NULL AUTO_INCREMENT,
`pos_x` int(100) NOT NULL,
`pos_y` int(100) NOT NULL,
`project_id` int(255) NOT NULL,
`user_id` int(255) NOT NULL,
`object_id` int(100) NOT NULL,
`filename` varchar(255) NOT NULL,
`filetitle` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=1 ;
-- --------------------------------------------------------
--
-- Tabelstructuur voor tabel `wb_menu_items`
--
CREATE TABLE IF NOT EXISTS `wb_menu_items` (
`id` int(255) NOT NULL AUTO_INCREMENT,
`name` varchar(255) NOT NULL,
`image` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=4 ;
--
-- Gegevens worden uitgevoerd voor tabel `wb_menu_items`
--
INSERT INTO `wb_menu_items` (`id`, `name`, `image`) VALUES
(1, 'post-it', 'postit.png'),
(2, 'afbeelding', 'afbeelding.png'),
(3, 'video', 'video.png');
-- --------------------------------------------------------
--
-- Tabelstructuur voor tabel `wb_projects`
--
CREATE TABLE IF NOT EXISTS `wb_projects` (
`id` int(255) NOT NULL AUTO_INCREMENT,
`owner` varchar(255) NOT NULL,
`name` varchar(255) NOT NULL,
`creation_date` varchar(255) NOT NULL,
`description` text NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=1 ;
-- --------------------------------------------------------
--
-- Tabelstructuur voor tabel `wb_project_members`
--
CREATE TABLE IF NOT EXISTS `wb_project_members` (
`id` int(255) NOT NULL AUTO_INCREMENT,
`project_id` int(255) NOT NULL,
`user_id` int(255) NOT NULL,
`status` int(10) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=1 ;
-- --------------------------------------------------------
--
-- Tabelstructuur voor tabel `wb_status`
--
CREATE TABLE IF NOT EXISTS `wb_status` (
`id` int(255) NOT NULL AUTO_INCREMENT,
`value` int(5) NOT NULL,
`name` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=4 ;
--
-- Gegevens worden uitgevoerd voor tabel `wb_status`
--
INSERT INTO `wb_status` (`id`, `value`, `name`) VALUES
(1, 0, 'pending'),
(2, 1, 'member'),
(3, 2, 'declined');
-- --------------------------------------------------------
--
-- Tabelstructuur voor tabel `wb_users`
--
CREATE TABLE IF NOT EXISTS `wb_users` (
`id` int(255) NOT NULL AUTO_INCREMENT,
`first_name` varchar(255) NOT NULL,
`last_name` varchar(255) NOT NULL,
`email` varchar(255) NOT NULL,
`creation_date` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`image` varchar(255) NOT NULL,
`password` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 AUTO_INCREMENT=2 ;
--
-- Gegevens worden uitgevoerd voor tabel `wb_users`
--
INSERT INTO `wb_users` (`id`, `first_name`, `last_name`, `email`, `creation_date`, `image`, `password`) VALUES
(1, 'Nico', 'Koelewijn', 'nico.koelewijn@live.com', '2014-11-26 23:43:33', '93cd70eb34df9d576e8e6231c1ab1e3f.jpg', '$2y$12$R1xNNqeH5b5VS4MTRBrlqe7Dink7IRY7ALWS2lJziZHYb810zm8Gu');
/*!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 */;
|
--`data_items` varchar(100) DEFAULT NULL COMMENT 'From metric_types ep: load1,load5,load15',
--`data_colors` varchar(100) DEFAULT NULL COMMENT 'ep: #FFF000,#FFF333,#FFF555',
/*graphs*/
CREATE TABLE `service_graphs` (
`id` int(11) NOT NULL AUTO_INCREMENT,
--`type_id` int(2) DEFAULT '1' COMMENT '1:google image chart, 2:amcharts',
`template` varchar(20) DEFAULT NULL,
--`template_id` int(11) DEFAULT NULL,
`service_type_id` int(11) DEFAULT NULL,
`is_thumbnail` tinyint(1) DEFAULT NULL,
`title` varchar(50) DEFAULT NULL,
`width` varchar(10) DEFAULT NULL,
`height` varchar(10) DEFAULT NULL,
`data_type` int(2) DEFAULT NULL COMMENT '1:current, 2:history |History data come from user filter',
`created_at` datetime DEFAULT NULL,
`updated_at` datetime DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8;
CREATE TABLE `templates` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(50) DEFAULT NULL,
`tags` varchar(50) DEFAULT NULL COMMENT 'chart, google, grid, image, charttools, interactive, amcharts, ziya, pie, line, column, bar...',
`require` varchar(50) DEFAULT NULL,
`code` blob DEFAULT NULL,
`desc` varchar(255) DEFAULT NULL,
`created_at` datetime DEFAULT NULL,
`updated_at` datetime DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8;
CREATE TABLE `graph_items` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`graph_id` int(11) DEFAULT NULL,
`metric_type_id` int(11) DEFAULT NULL,
`color` varchar(15) DEFAULT NULL,
`created_at` datetime DEFAULT NULL,
`updated_at` datetime DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8;
CREATE TABLE `views` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`viewable_type` int(2) DEFAULT '1' COMMENT '1:host, 2:app, 3:service',
`viewable_id` int(11) DEFAULT NULL,
`graph_id` int(11) DEFAULT NULL,
`created_at` datetime DEFAULT NULL,
`updated_at` datetime DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8;
|
/*
VERSION
Formatted on 9/16/2016 3:42:24 PM (QP5 v5.149.1003.31008)
-- Initial version
Formatted on 2/17/2017 3:55:18 PM (QP5 v5.149.1003.31008)
--Client joins added.
--SAPCare schema changed to SAPSR3
Formatted on 2/23/2017 11:22:52 PM (QP5 v5.149.1003.31008)
--L2 descriptin for "Refund Type" removed. SAPCare is able to assign L1 or L2 distinctly.
*/
--RefundsProcessed_Detail
SELECT --TICKET
CASHR.ORDER_ID_ENTRY,
SAPO.OBJECT_ID "Ticket ID",
--ACCOUNT
BA.BILLING_ACCOUNT_CODE "BAN",
--PAYMENT
CASHP.CACHKNUM "Payment ID",
CASHP.CACHKNUM "Original Payment ID",
CASHP.CACHKDATE "Original Payment Date",
CASHPCHNL.SHDES "Payment Channel",
CASHPCHR.STRING01 "Client ID",
CASHP.CAREFERENCE20 || 'XXXXXX' || CASHP.CABANKACC "PAN",
CASHP.CACHKAMT_PAY "Original Payment Amount",
CASHP.CAREFERENCE1 "Original Payment Source",
CASHP.CAREFERENCE4 "Original Payment Method",
CASHP.CAREFERENCE5 "Original Payment Sub Method",
--REFUND
REA.CAT_DESC "Refund Type",
CASHR.CACHKDATE "Refund Date",
CASHR.CACHKAMT_PAY "Refund Amount",
CASHR.CAREFERENCE4 "Refund Method",
CASHR.CAREFERENCE5 "Refund Sub Method",
SD.CAT_ID "Reason Code",
STATUSDES.TXT30 "Status"
FROM --SAPCARE TICKET TABLES
SAPSR3.CRMD_ORDERADM_H SAPO,
SAPSR3.CRMD_CUSTOMER_H SAPC,
SAPSR3.CRM_JEST STATUS,
SAPSR3.TJ30T STATUSDES,
--PAYMENT AND REFUND TABLES
SYSADM.CASHRECEIPTS_ALL CASHR, --REFUND
SYSADM.CASHRECEIPTS_ALL CASHP, ---PAYMENT
SYSADM.CASHRCPT_CHARACTERISTICS CASHPCHR,
SYSADM.CHARACTERISTICS_DEF CD,
SYSADM.PAYMENT_CHANNEL CASHPCHNL,
SYSADM.BILLING_ACCOUNT BA,
--REFUND REASON LINK TABLES
SAPSR3.CRMD_LINK SB,
SAPSR3.CRMD_SRV_OSSET SC,
SAPSR3.CRMD_SRV_SUBJECT SD,
--REASON DESCRIPTION TABLES
(SELECT B.CAT_ID,
B.CLIENT,
C.LANG,
C.CAT_DESC
FROM SAPSR3.CRMC_ERMS_CAT_AS A,
SAPSR3.CRMC_ERMS_CAT_CA B,
SAPSR3.CRMC_ERMS_CAT_CT C,
SAPSR3.CRMC_ERMS_CAT_HI D
WHERE A.ASP_ID = 'ZTPRR'
AND A.ASP_STATE = 'R'
AND A.ASP_GUID = B.ASP_GUID
AND A.CLIENT = B.CLIENT
AND B.CAT_GUID = C.CAT_GUID
AND B.CLIENT = C.CLIENT
AND C.CAT_GUID = D.NODE_GUID
AND C.CLIENT = D.CLIENT
AND D.NODE_LEAF = 'X'
AND TO_DATE (A.VAL_FROM, 'yyyymmdd hh24miss') < SYSDATE
AND TO_DATE (A.VAL_TO, 'yyyymmdd hh24miss') >= SYSDATE) REA
WHERE 1 = 1
AND SAPO.PROCESS_TYPE = 'ZTPR'
--SAP-->BSCS REFUND PART
AND SAPO.GUID = SAPC.GUID
AND SAPO.CLIENT = SAPC.CLIENT
AND CASE
WHEN NVL (TRIM (SAPC.ZZAFLD00003U), 'X') <> TRIM (SAPC.ZZAFLD00003T) THEN SAPC.ZZAFLD00003T --BSCS - SAPCARE LINK IS UPDATE FOR CREATED ORDER_ID
ELSE SAPC.ZZAFLD00003U
END = CASHR.ORDER_ID_ENTRY
--SAP-->BSCS ORINAL PAYMENT ID
AND SAPC.ZZPAY_REF_ID = CASHP.CACHKNUM(+)
--SAP--TICKET STATUS
AND SAPO.GUID = STATUS.OBJNR
AND SAPO.CLIENT = STATUS.MANDT
AND SAPO.PROCESS_TYPE = STATUSDES.STSMA
AND SAPO.DESCR_LANGUAGE = STATUSDES.SPRAS
AND STATUS.STAT = STATUSDES.ESTAT
AND STATUS.MANDT = STATUSDES.MANDT
AND STATUS.INACT <> 'X' --CURRENT STATUS
--BSCS PAYMENT DETAILS
AND CASHP.CAXACT = CASHPCHR.CAXACT
AND CASHPCHR.CHAR_ID = CD.CHAR_ID
AND CD.CHAR_DES = 'FinancialDocCashExtension'
--BSCS PAYMENT CHANNEL
AND CASHP.PAYMENT_CHANNEL_ID = CASHPCHNL.PAYMENT_CHANNEL_ID
--BSCS ACCOUNT DETAILS
AND CASHR.BILLING_ACCOUNT_ID = BA.BILLING_ACCOUNT_ID
--TICKET REASON CAT_ID SELECTION
AND SAPO.GUID = SB.GUID_HI
AND SAPO.CLIENT = SB.CLIENT
AND SB.OBJTYPE_SET = '29'
AND SB.GUID_SET = SC.GUID_SET
AND SB.CLIENT = SC.CLIENT
AND SC.GUID = SD.GUID_REF
AND SC.CLIENT = SD.CLIENT
AND SD.KATALOG_TYPE = 'C'
--TICKET CATEGORY SELECTION
AND SD.CAT_ID = REA.CAT_ID
AND SAPO.CLIENT = REA.CLIENT
AND SAPO.DESCR_LANGUAGE = REA.LANG
ORDER BY 1 |
WITH tmp AS(
SELECT m.pr_id, m.foup_id, m.slot_list, m.process_cnt, m.create_time,m.time_stamp, d1.event_time AS start_time,
(SELECT MAX(event_time) FROM log_process_job_detail t WHERE t.pr_id = m.pr_id ) AS last_update_time
FROM log_process_job m
LEFT JOIN log_process_job_detail d1
ON d1.event_type = 'Start'
AND m.pr_id = d1.pr_id
), tmp2 AS(
SELECT t.pr_id, t.foup_id, t.slot_list, t.process_cnt, t.create_time,
t.start_time, t.last_update_time, d2.job_status AS last_update_status,t.time_stamp,
TIME_TO_SEC( timediff(t.last_update_time,t.start_time)) AS process_seconds
FROM tmp t
LEFT JOIN log_process_job_detail d2
ON t.pr_id = d2.pr_id
AND t.last_update_time = d2.event_time
)
SELECT pr_id, foup_id, slot_list, process_cnt,
date_format(create_time,'%Y-%m-%d %H:%i:%s.%f') AS create_time,
date_format(start_time,'%Y-%m-%d %H:%i:%s.%f') AS start_time,
date_format(last_update_time,'%Y-%m-%d %H:%i:%s.%f') AS last_update_time,
last_update_status, process_seconds,
CASE WHEN last_update_status = 'COMPLETE' THEN ROUND(process_cnt / process_seconds * 3600)
ELSE 0 END AS wph
FROM tmp2
WHERE time_stamp BETWEEN @from_dt AND @to_dt
AND foup_id LIKE @cond_1
ORDER BY create_time, start_time, last_update_time
LIMIT @limit; |
create database user_db charset utf8;
use user_db;
create table t_user(
user_id bigint(20) primary key ,
username varchar(100) not null ,
ustatus varchar(50) not null
); |
DROP TABLE IF EXISTS users;
CREATE TABLE
users
(
id BIGINT AUTO_INCREMENT NOT NULL,
male BOOLEAN NOT NULL,
nm_title VARCHAR(20) NOT NULL,
nm_first VARCHAR(50) NOT NULL,
nm_last VARCHAR(50) NOT NULL,
email VARCHAR(50) NOT NULL,
phone VARCHAR(20) NOT NULL,
PRIMARY KEY (id)
); |
--
-- PostgreSQL database dump
--
-- Dumped from database version 9.6.6
-- Dumped by pg_dump version 9.6.6
SET statement_timeout = 0;
SET lock_timeout = 0;
SET idle_in_transaction_session_timeout = 0;
SET client_encoding = 'UTF8';
SET standard_conforming_strings = on;
SET check_function_bodies = false;
SET client_min_messages = warning;
SET row_security = off;
SET search_path = public, pg_catalog;
SET default_tablespace = '';
SET default_with_oids = false;
--
-- Name: risk_factor; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE risk_factor (
factor_key character varying(255),
deleted boolean,
entity_type character varying(255),
risk_factor_type character varying(255),
risk_factor_unique_id character varying(255),
localized_display_name bigint,
id bigint NOT NULL,
ops_sequence bigint DEFAULT 1 NOT NULL
);
ALTER TABLE risk_factor OWNER TO postgres;
--
-- Name: risk_factor_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE risk_factor_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE risk_factor_id_seq OWNER TO postgres;
--
-- Name: risk_factor_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE risk_factor_id_seq OWNED BY risk_factor.id;
--
-- Name: risk_factor_score; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE risk_factor_score (
rfs_cfg_id bigint,
rf_unique_id character varying(255),
base_rf_score bigint,
ranged_rf_score bigint,
weighted_rf_score bigint,
entity_type character varying(255),
entity_unique_id character varying(2000),
entity_id bigint,
calculation_time timestamp with time zone,
id bigint NOT NULL,
ops_sequence bigint DEFAULT 1 NOT NULL
);
ALTER TABLE risk_factor_score OWNER TO postgres;
--
-- Name: risk_factor_score_cfg; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE risk_factor_score_cfg (
operation character varying(255),
lower_limit bigint,
upper_limit bigint,
factor_weight bigint,
rfsc_version bigint NOT NULL,
factor_unique_id character varying(255) NOT NULL,
update_time timestamp with time zone,
creation_time timestamp with time zone,
deleted boolean,
id bigint NOT NULL,
factor_attr_key character varying(255),
risk_condition text,
max_risk_increment bigint,
ops_sequence bigint DEFAULT 1 NOT NULL
);
ALTER TABLE risk_factor_score_cfg OWNER TO postgres;
--
-- Name: risk_factor_score_cfg_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE risk_factor_score_cfg_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE risk_factor_score_cfg_id_seq OWNER TO postgres;
--
-- Name: risk_factor_score_cfg_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE risk_factor_score_cfg_id_seq OWNED BY risk_factor_score_cfg.id;
--
-- Name: risk_factor_score_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE risk_factor_score_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE risk_factor_score_id_seq OWNER TO postgres;
--
-- Name: risk_factor_score_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE risk_factor_score_id_seq OWNED BY risk_factor_score.id;
--
-- Name: risk_score; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE risk_score (
risk_score bigint,
entity_unique_id character varying(2000),
entity_id bigint,
entity_type character varying(255),
calculation_time timestamp with time zone,
id bigint NOT NULL,
ops_sequence bigint DEFAULT 1 NOT NULL
);
ALTER TABLE risk_score OWNER TO postgres;
--
-- Name: risk_score_cfg; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE risk_score_cfg (
entity_type character varying(255),
risk_score_type character varying(255),
update_time timestamp with time zone,
id bigint NOT NULL,
ops_sequence bigint DEFAULT 1 NOT NULL
);
ALTER TABLE risk_score_cfg OWNER TO postgres;
--
-- Name: risk_score_cfg_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE risk_score_cfg_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE risk_score_cfg_id_seq OWNER TO postgres;
--
-- Name: risk_score_cfg_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE risk_score_cfg_id_seq OWNED BY risk_score_cfg.id;
--
-- Name: risk_score_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE risk_score_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE risk_score_id_seq OWNER TO postgres;
--
-- Name: risk_score_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE risk_score_id_seq OWNED BY risk_score.id;
--
-- Name: risk_score_status; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE risk_score_status (
id bigint NOT NULL,
risk_score_status character varying(255) NOT NULL,
requested_by character varying(2000) NOT NULL,
rf_unique_id character varying(255),
entity_type character varying(255) NOT NULL,
request_time timestamp with time zone NOT NULL,
start_time timestamp with time zone,
end_time timestamp with time zone,
risk_score bigint,
ops_sequence bigint DEFAULT 1 NOT NULL
);
ALTER TABLE risk_score_status OWNER TO postgres;
--
-- Name: risk_score_status_id_seq; Type: SEQUENCE; Schema: public; Owner: postgres
--
CREATE SEQUENCE risk_score_status_id_seq
START WITH 1
INCREMENT BY 1
NO MINVALUE
NO MAXVALUE
CACHE 1;
ALTER TABLE risk_score_status_id_seq OWNER TO postgres;
--
-- Name: risk_score_status_id_seq; Type: SEQUENCE OWNED BY; Schema: public; Owner: postgres
--
ALTER SEQUENCE risk_score_status_id_seq OWNED BY risk_score_status.id;
--
-- Name: risk_score_task; Type: TABLE; Schema: public; Owner: postgres
--
CREATE TABLE risk_score_task (
risk_score_calc_id bigint,
entity_type character varying(255) NOT NULL,
rs_cfg_id bigint,
id bigint NOT NULL,
ops_sequence bigint DEFAULT 1 NOT NULL
);
ALTER TABLE risk_score_task OWNER TO postgres;
--
-- Name: risk_factor id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY risk_factor ALTER COLUMN id SET DEFAULT nextval('risk_factor_id_seq'::regclass);
--
-- Name: risk_factor_score id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY risk_factor_score ALTER COLUMN id SET DEFAULT nextval('risk_factor_score_id_seq'::regclass);
--
-- Name: risk_factor_score_cfg id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY risk_factor_score_cfg ALTER COLUMN id SET DEFAULT nextval('risk_factor_score_cfg_id_seq'::regclass);
--
-- Name: risk_score id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY risk_score ALTER COLUMN id SET DEFAULT nextval('risk_score_id_seq'::regclass);
--
-- Name: risk_score_cfg id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY risk_score_cfg ALTER COLUMN id SET DEFAULT nextval('risk_score_cfg_id_seq'::regclass);
--
-- Name: risk_score_status id; Type: DEFAULT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY risk_score_status ALTER COLUMN id SET DEFAULT nextval('risk_score_status_id_seq'::regclass);
--
-- Data for Name: risk_factor; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY risk_factor (factor_key, deleted, entity_type, risk_factor_type, risk_factor_unique_id, localized_display_name, id, ops_sequence) FROM stdin;
permRiskScore f USER RISK USER.permRiskScore 391 1 5
acctRiskScore f USER RISK USER.acctRiskScore 392 2 5
violationNum f USER COUNT USER.violationNum 393 3 5
unauthorizedNum f USER COUNT USER.unauthorizedNum 394 4 5
permNum f USER COUNT USER.permNum 395 5 5
businessRoleNum f USER COUNT USER.businessRoleNum 396 6 5
permRiskScore f APPLICATION RISK APPLICATION.permRiskScore 397 7 5
acctRiskScore f APPLICATION RISK APPLICATION.acctRiskScore 398 8 5
unmappedAcctNum f APPLICATION COUNT APPLICATION.unmappedAcctNum 399 9 5
permNum f APPLICATION COUNT APPLICATION.permNum 400 10 5
unauthorizedNum f APPLICATION COUNT APPLICATION.unauthorizedNum 401 11 5
userRiskScore f GOVERNANCE RISK GOVERNANCE.userRiskScore 402 12 5
appRiskScore f GOVERNANCE RISK GOVERNANCE.appRiskScore 403 13 5
acctRiskScore f GOVERNANCE RISK GOVERNANCE.acctRiskScore 404 14 5
brRiskScore f GOVERNANCE RISK GOVERNANCE.brRiskScore 405 15 5
trRiskScore f GOVERNANCE RISK GOVERNANCE.trRiskScore 406 16 5
permRiskScore f GOVERNANCE RISK GOVERNANCE.permRiskScore 407 17 5
unmappedAcctNum f GOVERNANCE COUNT GOVERNANCE.unmappedAcctNum 408 18 5
unauthorizedNum f GOVERNANCE COUNT GOVERNANCE.unauthorizedNum 409 19 5
violationNum f GOVERNANCE COUNT GOVERNANCE.violationNum 410 20 5
baseRiskScore f USER BASE USER.baseRiskScore 485 21 5
certificationAge f USER AGE USER.certificationAge 486 22 5
expiredCertViolationNumber f USER COUNT USER.expiredCertViolationNumber 487 23 5
certViolationNumber f USER COUNT USER.certViolationNumber 488 24 5
noDecisionCertViolationNumber f USER COUNT USER.noDecisionCertViolationNumber 489 25 5
expiredCertViolationNumber f GOVERNANCE COUNT GOVERNANCE.expiredCertViolationNumber 490 26 5
certViolationNumber f GOVERNANCE COUNT GOVERNANCE.certViolationNumber 491 27 5
noDecisionCertViolationNumber f GOVERNANCE COUNT GOVERNANCE.noDecisionCertViolationNumber 492 28 5
expiredCertViolationNumber f APPLICATION COUNT APPLICATION.expiredCertViolationNumber 493 29 5
certViolationNumber f APPLICATION COUNT APPLICATION.certViolationNumber 494 30 5
noDecisionCertViolationNumber f APPLICATION COUNT APPLICATION.noDecisionCertViolationNumber 495 31 5
\.
--
-- Name: risk_factor_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('risk_factor_id_seq', 31, true);
--
-- Data for Name: risk_factor_score; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY risk_factor_score (rfs_cfg_id, rf_unique_id, base_rf_score, ranged_rf_score, weighted_rf_score, entity_type, entity_unique_id, entity_id, calculation_time, id, ops_sequence) FROM stdin;
2 USER.acctRiskScore 250 250 75 USER e8fba96e716b4e519539250e116122ef 74 2018-06-14 12:55:21.831-04 1 5
2 USER.acctRiskScore 250 250 75 USER ad7985070fc042c7a37222e84da7d160 75 2018-06-14 12:55:21.842-04 2 5
2 USER.acctRiskScore 250 250 75 USER 19470a0566d049a3a15dd56719c1e448 79 2018-06-14 12:55:21.859-04 3 5
2 USER.acctRiskScore 250 250 75 USER 8581cbfdd57d43f2a5b755eae90c572c 83 2018-06-14 12:55:21.873-04 4 5
2 USER.acctRiskScore 250 250 75 USER da3449277ec0489299172cd60beb331a 89 2018-06-14 12:55:21.891-04 5 5
2 USER.acctRiskScore 250 250 75 USER 5e3f60ca0df34081ad0ffd71a2bfbf0d 90 2018-06-14 12:55:21.897-04 6 5
2 USER.acctRiskScore 250 250 75 USER f7b15677a8c44d96b7323e81611221d7 92 2018-06-14 12:55:21.903-04 7 5
2 USER.acctRiskScore 250 250 75 USER 165c6175ab5a4f9296d4e396f7cca64c 93 2018-06-14 12:55:21.908-04 8 5
2 USER.acctRiskScore 250 250 75 USER 12c76c8ec6874d4ca350878618ff1b84 94 2018-06-14 12:55:21.916-04 9 5
2 USER.acctRiskScore 250 250 75 USER 9f59edb1696a4e9d9d6fd5710de51c3d 96 2018-06-14 12:55:21.924-04 10 5
2 USER.acctRiskScore 250 250 75 USER d1fac2bc49694aff823fe2380deb5986 97 2018-06-14 12:55:21.928-04 11 5
2 USER.acctRiskScore 250 250 75 USER 041dcadac8554d9c9563bf1f49c76e3b 99 2018-06-14 12:55:21.934-04 12 5
2 USER.acctRiskScore 250 250 75 USER 774f48d1831c468d81beabf369b25bac 100 2018-06-14 12:55:21.94-04 13 5
2 USER.acctRiskScore 250 250 75 USER e2499a95fc064e00a572a903a41f144e 101 2018-06-14 12:55:21.944-04 14 5
2 USER.acctRiskScore 250 250 75 USER c3573c35dab94beba2a67cbb43c0b4da 104 2018-06-14 12:55:21.954-04 15 5
2 USER.acctRiskScore 250 250 75 USER cd8fbaaf3681422ba665cd85064bf5ed 105 2018-06-14 12:55:21.959-04 16 5
2 USER.acctRiskScore 250 250 75 USER a05dde43b12844f694dd093721094359 108 2018-06-14 12:55:21.969-04 17 5
2 USER.acctRiskScore 250 250 75 USER 4da002a84583436cbcf964e5453eb389 109 2018-06-14 12:55:21.975-04 18 5
2 USER.acctRiskScore 250 250 75 USER 7f4e437d58364fbb9903a1ecc14faa3a 111 2018-06-14 12:55:21.982-04 19 5
2 USER.acctRiskScore 250 250 75 USER be2b1958ff1f481a8f4d46f070fc9717 113 2018-06-14 12:55:21.99-04 20 5
2 USER.acctRiskScore 250 250 75 USER 0ff9349c5bd1463eaaef2f60f5ddd733 115 2018-06-14 12:55:21.996-04 21 5
2 USER.acctRiskScore 250 250 75 USER 5893942ba157463685d61dd69ba5b77b 116 2018-06-14 12:55:22-04 22 5
2 USER.acctRiskScore 250 250 75 USER c6a2741e0c084e4785682945e5dbdb32 119 2018-06-14 12:55:22.008-04 23 5
2 USER.acctRiskScore 250 250 75 USER 3357a925a2354e249a34d48ba52da648 120 2018-06-14 12:55:22.013-04 24 5
2 USER.acctRiskScore 250 250 75 USER bc2b59a2b8804947bbced84238207ee2 123 2018-06-14 12:55:22.023-04 25 5
2 USER.acctRiskScore 250 250 75 USER 2125b48561b34ba18fbbe20fa76bbe6e 126 2018-06-14 12:55:22.032-04 26 5
2 USER.acctRiskScore 250 250 75 USER 5772be4f4c1745eb98c29bceb79ef0a6 127 2018-06-14 12:55:22.036-04 27 5
2 USER.acctRiskScore 250 250 75 USER 50e4e3dbf90d4ec5be1947b151fe122c 130 2018-06-14 12:55:22.044-04 28 5
2 USER.acctRiskScore 250 250 75 USER fad5d72b2107474fb73e0fc82a028cd5 131 2018-06-14 12:55:22.049-04 29 5
2 USER.acctRiskScore 250 250 75 USER 84022b9d61de4d78ae674078e22057b2 132 2018-06-14 12:55:22.053-04 30 5
2 USER.acctRiskScore 250 250 75 USER 35c08c9184d84b8d8f5ed7610c2d337c 133 2018-06-14 12:55:22.058-04 31 5
2 USER.acctRiskScore 250 250 75 USER 15aafed81f37454f98e1877c27ce9cea 134 2018-06-14 12:55:22.061-04 32 5
2 USER.acctRiskScore 250 250 75 USER 9b81af42d53e47e886aec6fc4ff9516b 135 2018-06-14 12:55:22.065-04 33 5
2 USER.acctRiskScore 250 250 75 USER 078a4181d8ff4261b2e44fd28281eea1 136 2018-06-14 12:55:22.068-04 34 5
2 USER.acctRiskScore 250 250 75 USER 6b49dca8d31642ef9c32c50d25258650 141 2018-06-14 12:55:22.084-04 35 5
2 USER.acctRiskScore 250 250 75 USER 1e0b64b149a44f479fef5e4b016c9e38 145 2018-06-14 12:55:22.098-04 36 5
2 USER.acctRiskScore 250 250 75 USER 6181bf30065f46faac725284b4687b81 147 2018-06-14 12:55:22.104-04 37 5
2 USER.acctRiskScore 250 250 75 USER 08df5d50b69c4ac8a3cdf9f72a679c5f 149 2018-06-14 12:55:22.113-04 38 5
2 USER.acctRiskScore 250 250 75 USER 983228eed410402db3a2fc731fd4978c 150 2018-06-14 12:55:22.117-04 39 5
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2 USER.acctRiskScore 250 250 75 USER 9e7c62a3f5774164965c8d5d1eac5cd1 153 2018-06-14 12:55:22.129-04 42 5
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2 USER.acctRiskScore 250 250 75 USER 291cf4b5263b44e9bd306dfe47376df2 156 2018-06-14 12:55:22.141-04 45 5
2 USER.acctRiskScore 250 250 75 USER 1e55baeb697b46ae9d7b43957308d8f4 157 2018-06-14 12:55:22.145-04 46 5
2 USER.acctRiskScore 250 250 75 USER e685e2ca78314bf692a6cf3786270d7c 160 2018-06-14 12:55:22.153-04 47 5
2 USER.acctRiskScore 250 250 75 USER 330dd38af80f485fa667d6023a1d19e4 161 2018-06-14 12:55:22.158-04 48 5
2 USER.acctRiskScore 250 250 75 USER 6c1c3595bf354d65a2ab5fc58f2b266e 168 2018-06-14 12:55:22.179-04 49 5
2 USER.acctRiskScore 250 250 75 USER 4a5f95292e834be8a1dc1843c4c418e6 169 2018-06-14 12:55:22.184-04 50 5
2 USER.acctRiskScore 250 250 75 USER 123418545ab843a0a656cee3fbaba5d8 172 2018-06-14 12:55:22.194-04 51 5
2 USER.acctRiskScore 250 250 75 USER d58c54422a7a422c820f78ef2517bd6d 173 2018-06-14 12:55:22.199-04 52 5
2 USER.acctRiskScore 250 250 75 USER 6d621242ae674120aef7c8f079e0945d 175 2018-06-14 12:55:22.204-04 53 5
2 USER.acctRiskScore 250 250 75 USER b0f4f7ec8573495a9a2da1758d105d3d 178 2018-06-14 12:55:22.212-04 54 5
2 USER.acctRiskScore 250 250 75 USER 476f1337cb2d499fad55b1a6f33a1bb6 181 2018-06-14 12:55:22.221-04 55 5
2 USER.acctRiskScore 250 250 75 USER 2a496f4f88e644cd9733ab142ad35412 186 2018-06-14 12:55:22.234-04 56 5
2 USER.acctRiskScore 250 250 75 USER ad43d424488a423cacc75fadc3c7c357 187 2018-06-14 12:55:22.239-04 57 5
2 USER.acctRiskScore 250 250 75 USER bed7902dbeef4bb5a377fbc2f0770fcf 197 2018-06-14 12:55:22.27-04 58 5
2 USER.acctRiskScore 250 250 75 USER d8a8ae070f91497ca63bf6265c2cef01 200 2018-06-14 12:55:22.281-04 59 5
2 USER.acctRiskScore 250 250 75 USER c13b69d837e3423b8126af99e4e8633b 201 2018-06-14 12:55:22.286-04 60 5
2 USER.acctRiskScore 250 250 75 USER 3a69d3e7ab104982ad6be8cb7fca0a19 202 2018-06-14 12:55:22.292-04 61 5
2 USER.acctRiskScore 250 250 75 USER f50af5f9479a49078ba7e3128675d91c 203 2018-06-14 12:55:22.296-04 62 5
2 USER.acctRiskScore 250 250 75 USER abea459b69cc4eab8bc52cff2f380606 205 2018-06-14 12:55:22.302-04 63 5
2 USER.acctRiskScore 250 250 75 USER 6c82768a9642459b97470b8578654889 209 2018-06-14 12:55:22.316-04 64 5
2 USER.acctRiskScore 250 250 75 USER e85b7ccf8fd64cc9b374fa050c110b46 215 2018-06-14 12:55:22.335-04 65 5
2 USER.acctRiskScore 250 250 75 USER ca36bc8cdec64048a64cee4ce23cf549 218 2018-06-14 12:55:22.344-04 66 5
2 USER.acctRiskScore 250 250 75 USER 4fed88fe7de4402a958b8ab019ee3c08 222 2018-06-14 12:55:22.357-04 67 5
2 USER.acctRiskScore 250 250 75 USER 9cf3f476c78c414195b766de694d355d 224 2018-06-14 12:55:22.363-04 68 5
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38 USER.permRiskScore 0 0 0 USER 0e2e3f041f5540e0abac3483e34bc504 4850 2018-06-18 15:27:05.099-04 3898 5
38 USER.permRiskScore 0 0 0 USER 8b96326ec41e41d088ca38fa79b3e9a6 4851 2018-06-18 15:27:05.114-04 3899 5
38 USER.permRiskScore 0 0 0 USER 59b015360ec04e7b9e5e82a9ac96fb86 4852 2018-06-18 15:27:05.128-04 3900 5
38 USER.permRiskScore 0 0 0 USER 145cdda88ce148c29cc33f1a9a93046d 4853 2018-06-18 15:27:05.142-04 3901 5
38 USER.permRiskScore 0 0 0 USER 8658db3b1640451384cdc9e20939183a 4854 2018-06-18 15:27:05.155-04 3902 5
38 USER.permRiskScore 0 0 0 USER cf562bda9a8e469e97bab246bf3a9a3e 4861 2018-06-18 15:27:05.241-04 3903 5
38 USER.permRiskScore 0 0 0 USER 7d5bda354433412f9ad5fc7d77dcfc69 4862 2018-06-18 15:27:05.26-04 3904 5
13 APPLICATION.acctRiskScore 250 250 75 APPLICATION def0471671094b7d99ed3eec9965ad3d 6 2018-06-18 15:29:37.677-04 3905 5
13 APPLICATION.acctRiskScore 0 0 0 APPLICATION 3f7c516465db4c3a83c07a83b26dc858 7 2018-06-18 15:29:37.712-04 3906 5
13 APPLICATION.acctRiskScore 0 0 0 APPLICATION ac29df8ff7e44e72aec260b3619f2665 8 2018-06-18 15:29:37.738-04 3907 5
13 APPLICATION.acctRiskScore 0 0 0 APPLICATION 2f3333e96b7a4a7abed1e78c70cbf021 9 2018-06-18 15:29:37.762-04 3908 5
15 APPLICATION.permNum 13 13 3 APPLICATION def0471671094b7d99ed3eec9965ad3d 6 2018-06-18 15:29:37.919-04 3909 5
15 APPLICATION.permNum 28 28 8 APPLICATION 3f7c516465db4c3a83c07a83b26dc858 7 2018-06-18 15:29:37.943-04 3910 5
15 APPLICATION.permNum 56 56 16 APPLICATION ac29df8ff7e44e72aec260b3619f2665 8 2018-06-18 15:29:37.966-04 3911 5
15 APPLICATION.permNum 79 79 23 APPLICATION 2f3333e96b7a4a7abed1e78c70cbf021 9 2018-06-18 15:29:37.982-04 3912 5
12 APPLICATION.permRiskScore 0 0 0 APPLICATION def0471671094b7d99ed3eec9965ad3d 6 2018-06-18 15:29:38.033-04 3913 5
12 APPLICATION.permRiskScore 455 455 136 APPLICATION 3f7c516465db4c3a83c07a83b26dc858 7 2018-06-18 15:29:38.049-04 3914 5
12 APPLICATION.permRiskScore 0 0 0 APPLICATION ac29df8ff7e44e72aec260b3619f2665 8 2018-06-18 15:29:38.066-04 3915 5
12 APPLICATION.permRiskScore 0 0 0 APPLICATION 2f3333e96b7a4a7abed1e78c70cbf021 9 2018-06-18 15:29:38.081-04 3916 5
14 APPLICATION.unmappedAcctNum 0 0 0 APPLICATION def0471671094b7d99ed3eec9965ad3d 6 2018-06-18 15:29:38.194-04 3917 5
14 APPLICATION.unmappedAcctNum 0 0 0 APPLICATION 3f7c516465db4c3a83c07a83b26dc858 7 2018-06-18 15:29:38.218-04 3918 5
14 APPLICATION.unmappedAcctNum 0 0 0 APPLICATION ac29df8ff7e44e72aec260b3619f2665 8 2018-06-18 15:29:38.257-04 3919 5
14 APPLICATION.unmappedAcctNum 0 0 0 APPLICATION 2f3333e96b7a4a7abed1e78c70cbf021 9 2018-06-18 15:29:38.283-04 3920 5
32 GOVERNANCE.acctRiskScore 250 250 25 GOVERNANCE GOVERNANCE 1 2018-06-18 15:29:52.555-04 3921 5
33 GOVERNANCE.appRiskScore 65 65 6 GOVERNANCE GOVERNANCE 1 2018-06-18 15:29:52.614-04 3922 5
34 GOVERNANCE.unmappedAcctNum 0 0 0 GOVERNANCE GOVERNANCE 1 2018-06-18 15:29:52.906-04 3923 5
35 GOVERNANCE.userRiskScore 15 15 1 GOVERNANCE GOVERNANCE 1 2018-06-18 15:29:52.945-04 3924 5
\.
update risk_factor_score set calculation_time= calculation_time + (select now() - max(f.calculation_time) from risk_factor_score f);
--
-- Data for Name: risk_factor_score_cfg; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY risk_factor_score_cfg (operation, lower_limit, upper_limit, factor_weight, rfsc_version, factor_unique_id, update_time, creation_time, deleted, id, factor_attr_key, risk_condition, max_risk_increment, ops_sequence) FROM stdin;
\N 0 100 0 1 USER.violationNum 2018-06-14 12:52:59.4-04 2018-06-14 12:52:59.4-04 f 3 \N \N \N 5
\N 0 100 0 1 USER.unauthorizedNum 2018-06-14 12:52:59.402-04 2018-06-14 12:52:59.402-04 f 4 \N \N \N 5
\N 0 100 0 1 USER.permNum 2018-06-14 12:52:59.405-04 2018-06-14 12:52:59.405-04 f 5 \N \N \N 5
\N 0 100 0 1 USER.businessRoleNum 2018-06-14 12:52:59.408-04 2018-06-14 12:52:59.408-04 f 6 \N \N \N 5
\N 0 100 0 1 USER.expiredCertViolationNumber 2018-06-14 12:52:59.412-04 2018-06-14 12:52:59.412-04 f 8 \N \N \N 5
\N 0 100 0 1 USER.certViolationNumber 2018-06-14 12:52:59.418-04 2018-06-14 12:52:59.418-04 f 9 \N \N \N 5
\N 0 100 0 1 USER.noDecisionCertViolationNumber 2018-06-14 12:52:59.421-04 2018-06-14 12:52:59.421-04 f 10 \N \N \N 5
\N \N \N 0 1 USER.certificationAge 2018-06-14 12:52:59.423-04 2018-06-14 12:52:59.423-04 f 11 \N {"age_expression":[{"increment":100,"from":1,"to":365},{"increment":500,"from":365}]} \N 5
AVG \N \N 30 1 APPLICATION.permRiskScore 2018-06-14 12:53:24.572-04 2018-06-14 12:53:24.572-04 f 12 \N \N \N 5
AVG \N \N 30 1 APPLICATION.acctRiskScore 2018-06-14 12:53:24.574-04 2018-06-14 12:53:24.574-04 f 13 \N \N \N 5
\N 0 100 30 1 APPLICATION.unmappedAcctNum 2018-06-14 12:53:24.577-04 2018-06-14 12:53:24.577-04 f 14 \N \N \N 5
\N 0 100 30 1 APPLICATION.permNum 2018-06-14 12:53:24.58-04 2018-06-14 12:53:24.58-04 f 15 \N \N \N 5
\N 0 100 0 1 APPLICATION.unauthorizedNum 2018-06-14 12:53:24.582-04 2018-06-14 12:53:24.582-04 f 16 \N \N \N 5
\N 0 100 0 1 APPLICATION.expiredCertViolationNumber 2018-06-14 12:53:24.584-04 2018-06-14 12:53:24.584-04 f 17 \N \N \N 5
\N 0 100 0 1 APPLICATION.certViolationNumber 2018-06-14 12:53:24.586-04 2018-06-14 12:53:24.586-04 f 18 \N \N \N 5
\N 0 100 0 1 APPLICATION.noDecisionCertViolationNumber 2018-06-14 12:53:24.588-04 2018-06-14 12:53:24.588-04 f 19 \N \N \N 5
AVG \N \N 0 1 GOVERNANCE.brRiskScore 2018-06-14 12:53:54.105-04 2018-06-14 12:53:54.105-04 f 23 \N \N \N 5
AVG \N \N 0 1 GOVERNANCE.trRiskScore 2018-06-14 12:53:54.108-04 2018-06-14 12:53:54.108-04 f 24 \N \N \N 5
AVG \N \N 0 1 GOVERNANCE.permRiskScore 2018-06-14 12:53:54.111-04 2018-06-14 12:53:54.111-04 f 25 \N \N \N 5
\N 0 100 0 1 GOVERNANCE.unauthorizedNum 2018-06-14 12:53:54.115-04 2018-06-14 12:53:54.115-04 f 27 \N \N \N 5
\N 0 100 0 1 GOVERNANCE.violationNum 2018-06-14 12:53:54.117-04 2018-06-14 12:53:54.117-04 f 28 \N \N \N 5
\N 0 100 0 1 GOVERNANCE.expiredCertViolationNumber 2018-06-14 12:53:54.12-04 2018-06-14 12:53:54.12-04 f 29 \N \N \N 5
\N 0 100 0 1 GOVERNANCE.certViolationNumber 2018-06-14 12:53:54.122-04 2018-06-14 12:53:54.122-04 f 30 \N \N \N 5
\N 0 100 0 1 GOVERNANCE.noDecisionCertViolationNumber 2018-06-14 12:53:54.123-04 2018-06-14 12:53:54.123-04 f 31 \N \N \N 5
AVG \N \N 30 1 GOVERNANCE.acctRiskScore 2018-06-18 15:22:00.392-04 2018-06-14 12:53:54.102-04 t 22 \N \N \N 5
AVG \N \N 10 2 GOVERNANCE.acctRiskScore 2018-06-18 15:22:00.421-04 2018-06-14 12:53:54.102-04 f 32 \N \N \N 5
AVG \N \N 30 1 GOVERNANCE.appRiskScore 2018-06-18 15:22:00.492-04 2018-06-14 12:53:54.099-04 t 21 \N \N \N 5
AVG \N \N 10 2 GOVERNANCE.appRiskScore 2018-06-18 15:22:00.495-04 2018-06-14 12:53:54.099-04 f 33 \N \N \N 5
\N 0 100 30 1 GOVERNANCE.unmappedAcctNum 2018-06-18 15:22:00.509-04 2018-06-14 12:53:54.113-04 t 26 \N \N \N 5
\N 0 100 10 2 GOVERNANCE.unmappedAcctNum 2018-06-18 15:22:00.513-04 2018-06-14 12:53:54.113-04 f 34 \N \N \N 5
AVG \N \N 30 1 GOVERNANCE.userRiskScore 2018-06-18 15:22:00.526-04 2018-06-14 12:53:54.096-04 t 20 \N \N \N 5
AVG \N \N 10 2 GOVERNANCE.userRiskScore 2018-06-18 15:22:00.531-04 2018-06-14 12:53:54.096-04 f 35 \N \N \N 5
AVG \N \N 30 1 USER.acctRiskScore 2018-06-18 15:22:34.53-04 2018-06-14 12:52:59.398-04 t 2 \N \N \N 5
AVG \N \N 10 2 USER.acctRiskScore 2018-06-18 15:22:34.536-04 2018-06-14 12:52:59.398-04 f 36 \N \N \N 5
\N \N \N 40 1 USER.baseRiskScore 2018-06-18 15:22:34.55-04 2018-06-14 12:52:59.41-04 t 7 risk \N \N 5
\N \N \N 20 2 USER.baseRiskScore 2018-06-18 15:22:34.554-04 2018-06-14 12:52:59.41-04 f 37 risk \N \N 5
AVG \N \N 30 1 USER.permRiskScore 2018-06-18 15:22:34.564-04 2018-06-14 12:52:59.394-04 t 1 \N \N \N 5
AVG \N \N 10 2 USER.permRiskScore 2018-06-18 15:22:34.568-04 2018-06-14 12:52:59.394-04 f 38 \N \N \N 5
\.
update risk_factor_score_cfg set update_time= update_time + (select now() - max(f.update_time) from risk_factor_score_cfg f);
--
-- Name: risk_factor_score_cfg_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('risk_factor_score_cfg_id_seq', 38, true);
--
-- Name: risk_factor_score_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('risk_factor_score_id_seq', 3924, true);
--
-- Data for Name: risk_score; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY risk_score (risk_score, entity_unique_id, entity_id, entity_type, calculation_time, id, ops_sequence) FROM stdin;
0 00147eae4f4c47618e49c51371b9b05e 124 USER 2018-06-14 12:56:00.176-04 1 5
75 00553970f4ae42398052041628a0da32 285 USER 2018-06-14 12:56:00.176-04 2 5
0 0074cbf4c72e4d67a31737b47d5c827d 747 USER 2018-06-14 12:56:00.176-04 3 5
75 0082d911f1f1473bb2607f21467e7bba 947 USER 2018-06-14 12:56:00.176-04 4 5
75 00aab509aded4be891b6b9921f985a4b 493 USER 2018-06-14 12:56:00.176-04 5 5
75 00c2f4fb0606465384ea2da7a677a7e8 394 USER 2018-06-14 12:56:00.176-04 6 5
75 0113242aeb5748599429018ea4fcbee0 328 USER 2018-06-14 12:56:00.176-04 7 5
0 0149736edbb341bfa0f9e48c997018c7 268 USER 2018-06-14 12:56:00.176-04 8 5
0 017a82e1cb8045ecacb725b107c2490a 1004 USER 2018-06-14 12:56:00.176-04 9 5
75 01db17ec959e45489ec44c10b27be95c 754 USER 2018-06-14 12:56:00.176-04 10 5
0 0227899820b4463ea747fe26a71768e9 1017 USER 2018-06-14 12:56:00.176-04 11 5
75 02e7f029e65b4bbcaa1f9743d0077556 901 USER 2018-06-14 12:56:00.176-04 12 5
75 03c38b27972f42dc901cd5ee62ccb08d 407 USER 2018-06-14 12:56:00.176-04 13 5
0 03d97c4bb9fd4f5ab5ccac84199d7fae 735 USER 2018-06-14 12:56:00.176-04 14 5
75 041dcadac8554d9c9563bf1f49c76e3b 99 USER 2018-06-14 12:56:00.176-04 15 5
0 0445522f0ca94ce089639be32072986d 866 USER 2018-06-14 12:56:00.176-04 16 5
0 0472bcb42c9048c49950b1fe4518a476 819 USER 2018-06-14 12:56:00.176-04 17 5
0 04f6dfda34ad45f6bbb91ce18cddc5dd 576 USER 2018-06-14 12:56:00.176-04 18 5
0 0538c247094245a9ac2a121645559c70 870 USER 2018-06-14 12:56:00.176-04 19 5
0 054638ea7b464c46b250023528b83a15 225 USER 2018-06-14 12:56:00.176-04 20 5
0 0557fa600f0b408ea9e598d4465db5fb 986 USER 2018-06-14 12:56:00.176-04 21 5
75 05bb49d1d3fb4d5fa197d50d6ea6b506 636 USER 2018-06-14 12:56:00.176-04 22 5
0 060eb18b9fa14078aa4905864438c335 233 USER 2018-06-14 12:56:00.176-04 23 5
0 06c764810c144d1bb880dfadc121837c 856 USER 2018-06-14 12:56:00.176-04 24 5
75 078a4181d8ff4261b2e44fd28281eea1 136 USER 2018-06-14 12:56:00.176-04 25 5
75 080477096b7b44ffba83baaedecbcfc0 704 USER 2018-06-14 12:56:00.176-04 26 5
0 0892418152244c8dbd5299d45b819584 294 USER 2018-06-14 12:56:00.176-04 27 5
75 08cb315331b142658ac973e117a67077 761 USER 2018-06-14 12:56:00.176-04 28 5
75 08df5d50b69c4ac8a3cdf9f72a679c5f 149 USER 2018-06-14 12:56:00.176-04 29 5
0 09aae67660304385af05eaeebcfcdde1 995 USER 2018-06-14 12:56:00.176-04 30 5
75 0a034da91de04008a92810644e19933e 330 USER 2018-06-14 12:56:00.176-04 31 5
75 0a29c6b3d1cf49d68afad75ccbea1ec0 645 USER 2018-06-14 12:56:00.176-04 32 5
0 0a3cfe04b6934273bf2c07fcb1f1a60a 338 USER 2018-06-14 12:56:00.176-04 33 5
0 0a432d27fe2c4cdd8f00f48519e14a8f 359 USER 2018-06-14 12:56:00.176-04 34 5
0 0aefbc5ba4f74bc89a7e30aa3fe9102f 982 USER 2018-06-14 12:56:00.176-04 35 5
75 0b638ce128184801b526c8cee76b3c05 779 USER 2018-06-14 12:56:00.176-04 36 5
75 0bab24dfd30442cbbb6775482efb931b 696 USER 2018-06-14 12:56:00.176-04 37 5
75 0bcbd08581184b88a742b43ee12b5c8a 659 USER 2018-06-14 12:56:00.176-04 38 5
75 0bd65e514d48486688b694572ceb7b46 817 USER 2018-06-14 12:56:00.176-04 39 5
0 0bf81a181ac7474dbc388127802c7ca6 1036 USER 2018-06-14 12:56:00.176-04 40 5
0 0c8493f98fa1446c9677ba750142b5b5 301 USER 2018-06-14 12:56:00.176-04 41 5
75 0c84e84b11a8483ca7989094e1ae2d22 397 USER 2018-06-14 12:56:00.176-04 42 5
0 0cd301325dcc4737b9406e11fbb095e0 712 USER 2018-06-14 12:56:00.176-04 43 5
75 0d7dc9be51a24a4db4782304b137775b 833 USER 2018-06-14 12:56:00.176-04 44 5
75 0dc2feae97b74690bf734a882aaa4b57 586 USER 2018-06-14 12:56:00.176-04 45 5
0 0e12cb634d854ca09a3289477ba4c55b 228 USER 2018-06-14 12:56:00.176-04 46 5
0 0e14bfc3482c43499a44e6571dd2b1dd 879 USER 2018-06-14 12:56:00.176-04 47 5
75 0e2e3f041f5540e0abac3483e34bc504 420 USER 2018-06-14 12:56:00.176-04 48 5
0 0e7be0c7302b469bb6521cd5670d6288 949 USER 2018-06-14 12:56:00.176-04 49 5
75 0f0924b898434928a960e35370781751 564 USER 2018-06-14 12:56:00.176-04 50 5
0 0f60201964d44881a5b362d0f904ff04 542 USER 2018-06-14 12:56:00.176-04 51 5
0 0fb7255fd0d64461b205564b69fbc0eb 286 USER 2018-06-14 12:56:00.176-04 52 5
0 0fcaecdbd6df49f8963bea4446935463 106 USER 2018-06-14 12:56:00.176-04 53 5
75 0fe426afb054453e82e2014bf3a37cdb 399 USER 2018-06-14 12:56:00.176-04 54 5
75 0ff9349c5bd1463eaaef2f60f5ddd733 115 USER 2018-06-14 12:56:00.176-04 55 5
75 103bf8e05b1a488bbe282ca875b03d20 685 USER 2018-06-14 12:56:00.176-04 56 5
75 10eacddeff0a46fa896b3db33c1cc1fa 353 USER 2018-06-14 12:56:00.176-04 57 5
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75 1174083c060c4ddca06e664db904cc0d 518 USER 2018-06-14 12:56:00.176-04 59 5
0 11968c2c88494e77bc818db80c026d4b 125 USER 2018-06-14 12:56:00.176-04 60 5
0 120cb915b85d4bcab7de51dfe384d702 198 USER 2018-06-14 12:56:00.176-04 61 5
75 123418545ab843a0a656cee3fbaba5d8 172 USER 2018-06-14 12:56:00.176-04 62 5
75 125913fcc5204f6ca7275fe0d367cff0 390 USER 2018-06-14 12:56:00.176-04 63 5
0 12878c89e95447499d1d784d3fa0570a 146 USER 2018-06-14 12:56:00.176-04 64 5
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75 12c632af16394db28a0a15eeb7734670 767 USER 2018-06-14 12:56:00.176-04 66 5
75 12c76c8ec6874d4ca350878618ff1b84 94 USER 2018-06-14 12:56:00.176-04 67 5
0 1325d85511de4a4e9519a30079bfcecf 693 USER 2018-06-14 12:56:00.176-04 68 5
75 13645344a1a445ed95c1ba619cfa9210 533 USER 2018-06-14 12:56:00.176-04 69 5
0 139e43039241490899186ca0325899f2 1037 USER 2018-06-14 12:56:00.176-04 70 5
75 13badff593ca4175afafa5a1e05b5f14 783 USER 2018-06-14 12:56:00.176-04 71 5
0 13c4b2f2baa94f10a5a93bbd0d1c7b9a 1029 USER 2018-06-14 12:56:00.176-04 72 5
75 140f92b9e54d4454b82fdd91838e0392 361 USER 2018-06-14 12:56:00.176-04 73 5
75 145cdda88ce148c29cc33f1a9a93046d 417 USER 2018-06-14 12:56:00.176-04 74 5
75 14dd75497fff46a0828fc412feb9ac88 486 USER 2018-06-14 12:56:00.176-04 75 5
75 1588907808c74e17826d1bcf914c6571 546 USER 2018-06-14 12:56:00.176-04 76 5
75 15aafed81f37454f98e1877c27ce9cea 134 USER 2018-06-14 12:56:00.176-04 77 5
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25 df9212bda2394cc3a59c5c79f51925a3 4803 USER 2018-06-18 15:27:07.926-04 1834 5
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25 fba9790d2b5a4cf3bde11d52c9ccdaee 4027 USER 2018-06-18 15:27:07.926-04 1931 5
25 fbdfa5f59190426a9c396bb0e1c3cc48 4155 USER 2018-06-18 15:27:07.926-04 1932 5
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0 fc748c8a14bc40b69792347e5beae012 4800 USER 2018-06-18 15:27:07.926-04 1934 5
25 fcc6739b0e004fb497a9825584e018eb 4441 USER 2018-06-18 15:27:07.926-04 1935 5
25 fcedf5ed81814603a008df6808d9c139 3970 USER 2018-06-18 15:27:07.926-04 1936 5
25 fd5ea44d92a34ae29f9d96365e52ce95 4220 USER 2018-06-18 15:27:07.926-04 1937 5
0 fd65e79ededd4466b161ddd3c9ffd115 4711 USER 2018-06-18 15:27:07.926-04 1938 5
0 fdcbe19589864ef9859ad3d8b60d5cca 4226 USER 2018-06-18 15:27:07.926-04 1939 5
25 fdcc467d0654493f8a0bfbe4350fef69 4588 USER 2018-06-18 15:27:07.926-04 1940 5
0 fde299172caf4e29b0763d9e47d7beaa 4626 USER 2018-06-18 15:27:07.926-04 1941 5
25 fe7b1b7d5d6f4aaab10e91e4e206e88b 4500 USER 2018-06-18 15:27:07.926-04 1942 5
0 ff259dfc82654cdd8e59f30730d4ad2f 4710 USER 2018-06-18 15:27:07.926-04 1943 5
0 ff29e57746144218af79b0ba4fac455f 4221 USER 2018-06-18 15:27:07.926-04 1944 5
0 ff7090a426f14f598dbc8e6faf13f5ea 4663 USER 2018-06-18 15:27:07.926-04 1945 5
0 fffee77a8b4247688723282f783db314 4617 USER 2018-06-18 15:27:07.926-04 1946 5
23 2f3333e96b7a4a7abed1e78c70cbf021 9 APPLICATION 2018-06-18 15:29:38.308-04 1947 5
144 3f7c516465db4c3a83c07a83b26dc858 7 APPLICATION 2018-06-18 15:29:38.308-04 1948 5
16 ac29df8ff7e44e72aec260b3619f2665 8 APPLICATION 2018-06-18 15:29:38.308-04 1949 5
78 def0471671094b7d99ed3eec9965ad3d 6 APPLICATION 2018-06-18 15:29:38.308-04 1950 5
32 GOVERNANCE 1 GOVERNANCE 2018-06-18 15:29:53.019-04 1951 5
\.
update risk_score_cfg set update_time= update_time + (select now() - max(f.update_time) from risk_score_cfg f);
--
-- Data for Name: risk_score_cfg; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY risk_score_cfg (entity_type, risk_score_type, update_time, id, ops_sequence) FROM stdin;
APPLICATION CALCULATED 2018-06-14 12:53:24.562-04 2 5
GOVERNANCE CALCULATED 2018-06-18 15:22:00.354-04 3 5
USER CALCULATED 2018-06-18 15:22:34.497-04 1 5
\.
update risk_score set calculation_time= calculation_time + (select now() - max(f.calculation_time) from risk_score f);
--
-- Name: risk_score_cfg_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('risk_score_cfg_id_seq', 3, true);
--
-- Name: risk_score_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('risk_score_id_seq', 1951, true);
--
-- Data for Name: risk_score_status; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY risk_score_status (id, risk_score_status, requested_by, rf_unique_id, entity_type, request_time, start_time, end_time, risk_score, ops_sequence) FROM stdin;
4 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.acctRiskScore USER 2018-06-14 12:55:21.767-04 2018-06-14 12:55:21.767-04 2018-06-14 12:55:25.451-04 \N 5
5 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.baseRiskScore USER 2018-06-14 12:55:25.497-04 2018-06-14 12:55:25.497-04 2018-06-14 12:55:29.194-04 \N 5
6 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.businessRoleNum USER 2018-06-14 12:55:29.23-04 2018-06-14 12:55:29.23-04 2018-06-14 12:55:29.234-04 \N 5
7 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.certificationAge USER 2018-06-14 12:55:29.237-04 2018-06-14 12:55:29.237-04 2018-06-14 12:55:29.241-04 \N 5
8 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.certViolationNumber USER 2018-06-14 12:55:29.244-04 2018-06-14 12:55:29.244-04 2018-06-14 12:55:29.248-04 \N 5
9 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.expiredCertViolationNumber USER 2018-06-14 12:55:29.251-04 2018-06-14 12:55:29.251-04 2018-06-14 12:55:29.255-04 \N 5
10 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.noDecisionCertViolationNumber USER 2018-06-14 12:55:29.259-04 2018-06-14 12:55:29.259-04 2018-06-14 12:55:29.263-04 \N 5
11 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.permNum USER 2018-06-14 12:55:29.266-04 2018-06-14 12:55:29.266-04 2018-06-14 12:55:29.27-04 \N 5
12 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.permRiskScore USER 2018-06-14 12:55:29.273-04 2018-06-14 12:55:29.273-04 2018-06-14 12:56:00.033-04 \N 5
13 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.unauthorizedNum USER 2018-06-14 12:56:00.131-04 2018-06-14 12:56:00.131-04 2018-06-14 12:56:00.135-04 \N 5
14 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.violationNum USER 2018-06-14 12:56:00.139-04 2018-06-14 12:56:00.139-04 2018-06-14 12:56:00.143-04 \N 5
1 COMPLETED RiskScheduleService \N USER 2018-06-14 12:55:19.065-04 2018-06-14 12:55:21.758-04 2018-06-14 12:56:27.861-04 \N 5
24 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.appRiskScore GOVERNANCE 2018-06-14 12:56:56.836-04 2018-06-14 12:56:56.836-04 2018-06-14 12:56:56.842-04 \N 5
15 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread APPLICATION.acctRiskScore APPLICATION 2018-06-14 12:56:46.799-04 2018-06-14 12:56:46.799-04 2018-06-14 12:56:46.826-04 \N 5
16 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread APPLICATION.certViolationNumber APPLICATION 2018-06-14 12:56:46.83-04 2018-06-14 12:56:46.83-04 2018-06-14 12:56:46.834-04 \N 5
17 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread APPLICATION.expiredCertViolationNumber APPLICATION 2018-06-14 12:56:46.838-04 2018-06-14 12:56:46.838-04 2018-06-14 12:56:46.84-04 \N 5
18 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread APPLICATION.noDecisionCertViolationNumber APPLICATION 2018-06-14 12:56:46.844-04 2018-06-14 12:56:46.844-04 2018-06-14 12:56:46.848-04 \N 5
19 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread APPLICATION.permNum APPLICATION 2018-06-14 12:56:46.851-04 2018-06-14 12:56:46.851-04 2018-06-14 12:56:46.862-04 \N 5
20 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread APPLICATION.permRiskScore APPLICATION 2018-06-14 12:56:46.865-04 2018-06-14 12:56:46.865-04 2018-06-14 12:56:46.878-04 \N 5
21 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread APPLICATION.unauthorizedNum APPLICATION 2018-06-14 12:56:46.881-04 2018-06-14 12:56:46.881-04 2018-06-14 12:56:46.886-04 \N 5
22 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread APPLICATION.unmappedAcctNum APPLICATION 2018-06-14 12:56:46.89-04 2018-06-14 12:56:46.89-04 2018-06-14 12:56:46.908-04 \N 5
2 COMPLETED RiskScheduleService \N APPLICATION 2018-06-14 12:55:19.079-04 2018-06-14 12:56:46.792-04 2018-06-14 12:56:46.944-04 \N 5
41 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.certificationAge USER 2018-06-18 15:26:51.414-04 2018-06-18 15:26:51.414-04 2018-06-18 15:26:51.431-04 \N 5
23 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.acctRiskScore GOVERNANCE 2018-06-14 12:56:56.824-04 2018-06-14 12:56:56.824-04 2018-06-14 12:56:56.833-04 \N 5
25 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.brRiskScore GOVERNANCE 2018-06-14 12:56:56.845-04 2018-06-14 12:56:56.845-04 2018-06-14 12:56:56.85-04 \N 5
26 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.certViolationNumber GOVERNANCE 2018-06-14 12:56:56.853-04 2018-06-14 12:56:56.853-04 2018-06-14 12:56:56.857-04 \N 5
27 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.expiredCertViolationNumber GOVERNANCE 2018-06-14 12:56:56.859-04 2018-06-14 12:56:56.859-04 2018-06-14 12:56:56.863-04 \N 5
28 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.noDecisionCertViolationNumber GOVERNANCE 2018-06-14 12:56:56.865-04 2018-06-14 12:56:56.865-04 2018-06-14 12:56:56.868-04 \N 5
29 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.permRiskScore GOVERNANCE 2018-06-14 12:56:56.871-04 2018-06-14 12:56:56.871-04 2018-06-14 12:56:56.874-04 \N 5
30 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.trRiskScore GOVERNANCE 2018-06-14 12:56:56.877-04 2018-06-14 12:56:56.877-04 2018-06-14 12:56:56.88-04 \N 5
31 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.unauthorizedNum GOVERNANCE 2018-06-14 12:56:56.883-04 2018-06-14 12:56:56.883-04 2018-06-14 12:56:56.886-04 \N 5
32 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.unmappedAcctNum GOVERNANCE 2018-06-14 12:56:56.889-04 2018-06-14 12:56:56.889-04 2018-06-14 12:56:56.897-04 \N 5
33 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.userRiskScore GOVERNANCE 2018-06-14 12:56:56.9-04 2018-06-14 12:56:56.9-04 2018-06-14 12:56:56.905-04 \N 5
34 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.violationNum GOVERNANCE 2018-06-14 12:56:56.909-04 2018-06-14 12:56:56.909-04 2018-06-14 12:56:56.912-04 \N 5
3 COMPLETED RiskScheduleService \N GOVERNANCE 2018-06-14 12:55:19.092-04 2018-06-14 12:56:56.819-04 2018-06-14 12:56:56.928-04 \N 5
38 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.acctRiskScore USER 2018-06-18 15:26:22.601-04 2018-06-18 15:26:22.601-04 2018-06-18 15:26:36.911-04 \N 5
39 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.baseRiskScore USER 2018-06-18 15:26:36.976-04 2018-06-18 15:26:36.976-04 2018-06-18 15:26:51.192-04 \N 5
40 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.businessRoleNum USER 2018-06-18 15:26:51.207-04 2018-06-18 15:26:51.207-04 2018-06-18 15:26:51.223-04 \N 5
42 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.certViolationNumber USER 2018-06-18 15:26:51.45-04 2018-06-18 15:26:51.45-04 2018-06-18 15:26:51.469-04 \N 5
43 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.expiredCertViolationNumber USER 2018-06-18 15:26:51.487-04 2018-06-18 15:26:51.487-04 2018-06-18 15:26:51.505-04 \N 5
35 COMPLETED RiskScheduleService \N USER 2018-06-18 15:26:19.409-04 2018-06-18 15:26:22.567-04 2018-06-18 15:29:12.439-04 \N 5
37 COMPLETED RiskScheduleService \N GOVERNANCE 2018-06-18 15:26:19.549-04 2018-06-18 15:29:52.506-04 2018-06-18 15:29:53.067-04 \N 5
36 COMPLETED RiskScheduleService \N APPLICATION 2018-06-18 15:26:19.495-04 2018-06-18 15:29:37.508-04 2018-06-18 15:29:38.629-04 \N 5
44 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.noDecisionCertViolationNumber USER 2018-06-18 15:26:51.521-04 2018-06-18 15:26:51.521-04 2018-06-18 15:26:51.542-04 \N 5
45 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.permNum USER 2018-06-18 15:26:51.555-04 2018-06-18 15:26:51.555-04 2018-06-18 15:26:51.571-04 \N 5
46 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.permRiskScore USER 2018-06-18 15:26:51.585-04 2018-06-18 15:26:51.585-04 2018-06-18 15:27:07.5-04 \N 5
47 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.unauthorizedNum USER 2018-06-18 15:27:07.688-04 2018-06-18 15:27:07.688-04 2018-06-18 15:27:07.705-04 \N 5
48 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread USER.violationNum USER 2018-06-18 15:27:07.719-04 2018-06-18 15:27:07.719-04 2018-06-18 15:27:07.735-04 \N 5
49 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread APPLICATION.acctRiskScore APPLICATION 2018-06-18 15:29:37.535-04 2018-06-18 15:29:37.535-04 2018-06-18 15:29:37.768-04 \N 5
50 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread APPLICATION.certViolationNumber APPLICATION 2018-06-18 15:29:37.783-04 2018-06-18 15:29:37.783-04 2018-06-18 15:29:37.8-04 \N 5
51 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread APPLICATION.expiredCertViolationNumber APPLICATION 2018-06-18 15:29:37.815-04 2018-06-18 15:29:37.815-04 2018-06-18 15:29:37.832-04 \N 5
52 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread APPLICATION.noDecisionCertViolationNumber APPLICATION 2018-06-18 15:29:37.847-04 2018-06-18 15:29:37.847-04 2018-06-18 15:29:37.864-04 \N 5
53 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread APPLICATION.permNum APPLICATION 2018-06-18 15:29:37.879-04 2018-06-18 15:29:37.879-04 2018-06-18 15:29:37.987-04 \N 5
54 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread APPLICATION.permRiskScore APPLICATION 2018-06-18 15:29:38.001-04 2018-06-18 15:29:38.001-04 2018-06-18 15:29:38.086-04 \N 5
55 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread APPLICATION.unauthorizedNum APPLICATION 2018-06-18 15:29:38.099-04 2018-06-18 15:29:38.099-04 2018-06-18 15:29:38.114-04 \N 5
56 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread APPLICATION.unmappedAcctNum APPLICATION 2018-06-18 15:29:38.127-04 2018-06-18 15:29:38.127-04 2018-06-18 15:29:38.289-04 \N 5
57 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.acctRiskScore GOVERNANCE 2018-06-18 15:29:52.532-04 2018-06-18 15:29:52.532-04 2018-06-18 15:29:52.579-04 \N 5
58 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.appRiskScore GOVERNANCE 2018-06-18 15:29:52.593-04 2018-06-18 15:29:52.593-04 2018-06-18 15:29:52.618-04 \N 5
59 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.brRiskScore GOVERNANCE 2018-06-18 15:29:52.633-04 2018-06-18 15:29:52.633-04 2018-06-18 15:29:52.649-04 \N 5
60 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.certViolationNumber GOVERNANCE 2018-06-18 15:29:52.664-04 2018-06-18 15:29:52.664-04 2018-06-18 15:29:52.679-04 \N 5
61 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.expiredCertViolationNumber GOVERNANCE 2018-06-18 15:29:52.694-04 2018-06-18 15:29:52.694-04 2018-06-18 15:29:52.71-04 \N 5
62 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.noDecisionCertViolationNumber GOVERNANCE 2018-06-18 15:29:52.723-04 2018-06-18 15:29:52.723-04 2018-06-18 15:29:52.739-04 \N 5
63 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.permRiskScore GOVERNANCE 2018-06-18 15:29:52.753-04 2018-06-18 15:29:52.753-04 2018-06-18 15:29:52.769-04 \N 5
64 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.trRiskScore GOVERNANCE 2018-06-18 15:29:52.784-04 2018-06-18 15:29:52.784-04 2018-06-18 15:29:52.8-04 \N 5
65 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.unauthorizedNum GOVERNANCE 2018-06-18 15:29:52.814-04 2018-06-18 15:29:52.814-04 2018-06-18 15:29:52.831-04 \N 5
66 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.unmappedAcctNum GOVERNANCE 2018-06-18 15:29:52.845-04 2018-06-18 15:29:52.845-04 2018-06-18 15:29:52.911-04 \N 5
67 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.userRiskScore GOVERNANCE 2018-06-18 15:29:52.922-04 2018-06-18 15:29:52.922-04 2018-06-18 15:29:52.949-04 \N 5
68 COMPLETED com.netiq.iac.server.dtp.RiskScoreTaskThread GOVERNANCE.violationNum GOVERNANCE 2018-06-18 15:29:52.963-04 2018-06-18 15:29:52.963-04 2018-06-18 15:29:52.979-04 \N 5
\.
--
-- Name: risk_score_status_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('risk_score_status_id_seq', 68, true);
--
-- Data for Name: risk_score_task; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY risk_score_task (risk_score_calc_id, entity_type, rs_cfg_id, id, ops_sequence) FROM stdin;
1 USER 1 36 5
2 APPLICATION 2 37 5
3 GOVERNANCE 3 38 5
35 USER 1 83 5
36 APPLICATION 2 84 5
37 GOVERNANCE 3 85 5
\.
--
-- Name: risk_factor risk_factor_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY risk_factor
ADD CONSTRAINT risk_factor_pkey PRIMARY KEY (id);
--
-- Name: risk_factor_score_cfg risk_factor_score_cfg_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY risk_factor_score_cfg
ADD CONSTRAINT risk_factor_score_cfg_pkey PRIMARY KEY (id);
--
-- Name: risk_factor_score_cfg risk_factor_score_cfg_uniq; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY risk_factor_score_cfg
ADD CONSTRAINT risk_factor_score_cfg_uniq UNIQUE (factor_unique_id, rfsc_version);
--
-- Name: risk_factor_score risk_factor_score_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY risk_factor_score
ADD CONSTRAINT risk_factor_score_pkey PRIMARY KEY (id);
--
-- Name: risk_factor risk_factor_uniq; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY risk_factor
ADD CONSTRAINT risk_factor_uniq UNIQUE (factor_key, entity_type);
--
-- Name: risk_score_cfg risk_score_cfg_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY risk_score_cfg
ADD CONSTRAINT risk_score_cfg_pkey PRIMARY KEY (id);
--
-- Name: risk_score_cfg risk_score_cfg_uniq; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY risk_score_cfg
ADD CONSTRAINT risk_score_cfg_uniq UNIQUE (entity_type);
--
-- Name: risk_score risk_score_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY risk_score
ADD CONSTRAINT risk_score_pkey PRIMARY KEY (id);
--
-- Name: risk_score_status risk_score_status_pkey; Type: CONSTRAINT; Schema: public; Owner: postgres
--
ALTER TABLE ONLY risk_score_status
ADD CONSTRAINT risk_score_status_pkey PRIMARY KEY (id);
--
-- Name: idx_rf_unique_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_rf_unique_id ON risk_factor USING btree (risk_factor_unique_id);
--
-- Name: idx_rfs_rf_unique_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_rfs_rf_unique_id ON risk_factor_score USING btree (rf_unique_id);
--
-- Name: idx_rfs_rfsc; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_rfs_rfsc ON risk_factor_score USING btree (rfs_cfg_id);
--
-- Name: idx_rfsc_f_unique_id; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_rfsc_f_unique_id ON risk_factor_score_cfg USING btree (factor_unique_id);
--
-- Name: idx_rst_rsc; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_rst_rsc ON risk_score_task USING btree (rs_cfg_id);
--
-- Name: idx_rst_rss; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX idx_rst_rss ON risk_score_task USING btree (risk_score_calc_id);
--
-- Name: ixops_risk_factor; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX ixops_risk_factor ON risk_factor USING btree (ops_sequence);
--
-- Name: ixops_risk_factor_score; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX ixops_risk_factor_score ON risk_factor_score USING btree (ops_sequence);
--
-- Name: ixops_risk_factor_score_cfg; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX ixops_risk_factor_score_cfg ON risk_factor_score_cfg USING btree (ops_sequence);
--
-- Name: ixops_risk_score; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX ixops_risk_score ON risk_score USING btree (ops_sequence);
--
-- Name: ixops_risk_score_cfg; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX ixops_risk_score_cfg ON risk_score_cfg USING btree (ops_sequence);
--
-- Name: ixops_risk_score_status; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX ixops_risk_score_status ON risk_score_status USING btree (ops_sequence);
--
-- Name: ixops_risk_score_task; Type: INDEX; Schema: public; Owner: postgres
--
CREATE INDEX ixops_risk_score_task ON risk_score_task USING btree (ops_sequence);
--
-- PostgreSQL database dump complete
--
|
DELIMITER //
CREATE PROCEDURE spInsertStadium(IN pName VARCHAR(45), pCapacity INT, pCity INT)
BEGIN
INSERT into Stadium(name, capacity, CityID)
VALUES (pName, pCapacity,pCity);
-- falta picture***
END //
delimiter ;
call spInsertStadium('');
select * from Stadium;
|
select stddev_samp(distinct `c_bigint`), stddev_samp(distinct `c_double`)
from `datatype` |
set search_path to version;
drop materialized view if exists versioned_tags;
create materialized view versioned_tags as
select version.id as version_id,
a.id as artifact_internal_id,
a.group_id as maven_group_id,
a.artifact_id as maven_artifact_id,
version.version as maven_version,
artifact_tag.id as tag_id,
artifact_tag.tag_name as tag_name,
((regexp_match(version.version, artifact_tag.tag_regex))[artifact_tag.use_capture_group]) as tag_value
from artifact_versions version
inner join artifacts a on version.artifact_id = a.id
inner join artifact_tags artifact_tag
on a.id = artifact_tag.artifact_id
;
create unique index on versioned_tags (
maven_group_id, maven_artifact_id,
maven_version, tag_name
);
set search_path to public;
|
-- phpMyAdmin SQL Dump
-- version 4.4.14
-- http://www.phpmyadmin.net
--
-- Host: 127.0.0.1
-- Generation Time: Oct 29, 2015 at 06:26 PM
-- Server version: 5.6.26
-- PHP Version: 5.6.12
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: `reverb`
--
-- --------------------------------------------------------
--
-- Table structure for table `events`
--
DROP TABLE IF EXISTS `events`;
CREATE TABLE IF NOT EXISTS `events` (
`eventcode` varchar(5) NOT NULL,
`eventname` varchar(40) NOT NULL,
`date` int(11) NOT NULL,
`deadline` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `events`
--
INSERT INTO `events` (`eventcode`, `eventname`, `date`, `deadline`) VALUES
('DANCE', 'Dancing', 1451385869, 1448793869),
('GAME', 'Gaming', 1451385869, 1448793869);
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
DROP TABLE IF EXISTS `users`;
CREATE TABLE IF NOT EXISTS `users` (
`id` int(11) NOT NULL,
`name` varchar(128) NOT NULL,
`email` varchar(256) NOT NULL,
`phone` int(15) NOT NULL,
`event` varchar(25) NOT NULL,
`email_sent_at` int(11) NOT NULL DEFAULT '0',
`timestamp` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Indexes for dumped tables
--
--
-- Indexes for table `events`
--
ALTER TABLE `events`
ADD PRIMARY KEY (`eventcode`) USING BTREE;
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `users`
--
ALTER TABLE `users`
MODIFY `id` int(11) NOT NULL AUTO_INCREMENT;
/*!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 */;
|
SELECT age, COUNT(age) ass occurences
FROM my_user_output_bucket
BROUP BY age
ORDER BY occurences DESC
LIMIT 5;
SELECT gender (COUNT(gender) * 100.0 / (SELECT COUNT(*) FROM <AWS_GLUE_TABLE_NAME>)) AS PERCENT
FROM <AWS_GLUE_TABLE_NAME>
GROUP BY gender;
SELECT SUM(CASE WHEN age BETWEEN 21 AND 29 THEN 1 ELSE 0 END) AS "21-29",
SUM(CASE WHEN age BETWEEN 30 AND 39 THEN 1 ELSE 0 END) AS "30-39",
SUM(CASE WHEN age BETWEEN 40 AND 49 THEN 1 ELSE 0 END) AS "40-49",
SUM(CASE WHEN age BETWEEN 50 AND 59 THEN 1 ELSE 0 END) AS "50-59",
SUM(CASE WHEN age BETWEEN 60 AND 69 THEN 1 ELSE 0 END) AS "60-69",
SUM(CASE WHEN age BETWEEN 70 AND 79 THEN 1 ELSE 0 END) AS "70-79"
FROM <AWS_GLUE_TABLE_NAME>;
|
/*
Name: Number of External Clicks
Data source: 4
Created By: Admin
Last Update At: 2016-03-03T19:26:39.557151+00:00
*/
SELECT count(*) AS Number_of_external_clicks,
FROM (TABLE_QUERY(djomniture:cipomniture_djmansionglobal,'CONCAT(REPLACE(table_id,"_","-"),"-01") BETWEEN STRFTIME_UTC_USEC("{{startdate}}", "%Y-%m-01") and STRFTIME_UTC_USEC("{{enddate}}", "%Y-%m-31")'))
WHERE DATE(date_time) >= DATE('{{startdate}}')
AND DATE('{{startdate}}') >= DATE('2015-02-01')
AND DATE(date_time) <= DATE('{{enddate}}') //visit_num > '1'
AND (post_prop1 = 'article')
AND post_page_event = '100'
/* AND post_page_event = "0" /*Page View Calls*/
AND post_prop75 = 'article_page_berkshire_hathaway_widget'
|
ALTER TABLE `ai-project`.`menus` ADD INDEX `parent_index` (`parent_id`);
ALTER TABLE `menus` ADD CONSTRAINT `fk_parent-menues` FOREIGN KEY (`parent_id`) REFERENCES `ai-project`.`menus`(`id`) ON DELETE CASCADE ON UPDATE CASCADE;
ALTER TABLE `ai-project`.`menus` ADD INDEX `cat_index` (`cat_id`);
ALTER TABLE `categories` CHANGE `id` `id` INT(11) UNSIGNED NOT NULL AUTO_INCREMENT;
ALTER TABLE categories` ADD INDEX `parent_index` (`parent_id`);
ALTER TABLE `menus` ADD CONSTRAINT `fk_cat_menus_tables` FOREIGN KEY (`cat_id`) REFERENCES `ai-project`.`categories`(`id`) ON DELETE CASCADE ON UPDATE CASCADE;
ALTER TABLE `categories` CHANGE `parent_id` `parent_id` INT(11) UNSIGNED NULL DEFAULT NULL;
ALTER TABLE `categories` ADD CONSTRAINT `fk_parent-cat` FOREIGN KEY (`parent_id`) REFERENCES `ai-project`.`categories`(`id`) ON DELETE CASCADE ON UPDATE CASCADE;
ALTER TABLE `ai-project`.`items` ADD INDEX `cat_item_index` (`cat_id`);
ALTER TABLE `items` CHANGE `cat_id` `cat_id` INT(11) UNSIGNED NOT NULL;
ALTER TABLE `items` ADD CONSTRAINT `fk_cat_items` FOREIGN KEY (`cat_id`) REFERENCES `ai-project`.`categories`(`id`) ON DELETE CASCADE ON UPDATE CASCADE;
ALTER TABLE `categories` DROP FOREIGN KEY `fk_parent-cat`; ALTER TABLE `categories` ADD CONSTRAINT `fk_parent-cat` FOREIGN KEY (`parent_id`) REFERENCES `ai-project`.`categories`(`id`) ON DELETE CASCADE ON UPDATE RESTRICT;
ALTER TABLE `categories` DROP FOREIGN KEY `fk_parent-cat`; ALTER TABLE `categories` ADD CONSTRAINT `fk_parent-cat` FOREIGN KEY (`parent_id`) REFERENCES `ai-project`.`categories`(`id`) ON DELETE CASCADE ON UPDATE NO ACTION;
ALTER TABLE `menus` CHANGE `type` `type` ENUM('list of categories','navbar','footer','aside','category','item per page') CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL;
|
-- phpMyAdmin SQL Dump
-- version 4.6.6deb5ubuntu0.5
-- https://www.phpmyadmin.net/
--
-- Máy chủ: localhost:3306
-- Thời gian đã tạo: Th12 20, 2020 lúc 02:39 PM
-- Phiên bản máy phục vụ: 10.1.47-MariaDB-0ubuntu0.18.04.1
-- Phiên bản PHP: 7.2.24-0ubuntu0.18.04.7
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8mb4 */;
--
-- Cơ sở dữ liệu: `web_mvc`
--
-- --------------------------------------------------------
--
-- Cấu trúc bảng cho bảng `admin_web`
--
CREATE TABLE `admin_web` (
`admin_id` int(11) NOT NULL,
`email` varchar(255) NOT NULL,
`password` varchar(255) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Đang đổ dữ liệu cho bảng `admin_web`
--
INSERT INTO `admin_web` (`admin_id`, `email`, `password`) VALUES
(1, 'admin@gmail.com', '123456');
-- --------------------------------------------------------
--
-- Cấu trúc bảng cho bảng `category_web`
--
CREATE TABLE `category_web` (
`name` varchar(255) NOT NULL,
`parent_id` int(11) NOT NULL,
`created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`updated_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`category_id` int(11) UNSIGNED NOT NULL,
`description` text NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Đang đổ dữ liệu cho bảng `category_web`
--
INSERT INTO `category_web` (`name`, `parent_id`, `created_at`, `updated_at`, `category_id`, `description`) VALUES
('Kid', 0, '2020-12-05 09:27:33', '2020-12-16 05:00:00', 1, 'Cac san pham danh cho tre em'),
('Men', 0, '2020-12-05 17:15:48', '2020-12-17 05:00:00', 2, 'Cac san pham danh cho dan ong trung nien'),
('Women', 0, '2020-12-17 20:09:34', '2020-12-26 05:00:00', 3, 'Hang cho phu nu');
-- --------------------------------------------------------
--
-- Cấu trúc bảng cho bảng `contact_web`
--
CREATE TABLE `contact_web` (
`name` text NOT NULL,
`email` text NOT NULL,
`message` text NOT NULL,
`status` int(10) NOT NULL,
`contact_id` int(11) UNSIGNED NOT NULL,
`created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Đang đổ dữ liệu cho bảng `contact_web`
--
INSERT INTO `contact_web` (`name`, `email`, `message`, `status`, `contact_id`, `created_at`) VALUES
('Ngo Huu Son', 'son.nh31199@gmail.com', 'ưqbrbeqbtb', 0, 1, '2020-12-18 18:05:33'),
('Ngo Huu Son', 'son.nh31199@gmail.com', 'Chao admin, minh la ngo huu son', 0, 2, '2020-12-20 10:52:19');
-- --------------------------------------------------------
--
-- Cấu trúc bảng cho bảng `order_detail_web`
--
CREATE TABLE `order_detail_web` (
`order_detail_id` int(11) UNSIGNED NOT NULL,
`order_code` varchar(20) NOT NULL,
`product_id` int(11) UNSIGNED NOT NULL,
`product_quantity` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Cấu trúc bảng cho bảng `order_web`
--
CREATE TABLE `order_web` (
`order_id` int(11) UNSIGNED NOT NULL,
`order_code` varchar(20) NOT NULL,
`user_id` int(11) UNSIGNED NOT NULL,
`name` varchar(255) NOT NULL,
`email` varchar(255) NOT NULL,
`phone_number` varchar(20) NOT NULL,
`address` varchar(255) NOT NULL,
`shipping_method` varchar(255) NOT NULL,
`payment_method` int(11) NOT NULL,
`subtotal` int(11) NOT NULL,
`shipping` int(11) NOT NULL,
`total` int(11) NOT NULL,
`created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`status` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
-- --------------------------------------------------------
--
-- Cấu trúc bảng cho bảng `product_web`
--
CREATE TABLE `product_web` (
`product_name` varchar(255) NOT NULL,
`quantity` int(11) NOT NULL,
`price` decimal(12,2) NOT NULL,
`description` text NOT NULL,
`image` varchar(255) NOT NULL,
`product_id` int(11) UNSIGNED NOT NULL,
`category_id` int(11) UNSIGNED NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
--
-- Đang đổ dữ liệu cho bảng `product_web`
--
INSERT INTO `product_web` (`product_name`, `quantity`, `price`, `description`, `image`, `product_id`, `category_id`) VALUES
('Cardigan ', 20, '650.00', 'Front Opening\r\nHood Neck\r\nFull Sleeve\r\nSoft Touch Cotton Fab', 'assets/products/men/shrugBlue.jpg', 1, 2),
('V-Neck T-Shirt', 20, '350.00', '80% Cotton and 20% polyester\r\nV-Neck T-Shirt\r\nSlim Fit\r\nHalf', 'assets/products/men/vneckBlack.jpg', 2, 2),
('V-Neck T-Shirt', 20, '350.00', '80% Cotton and 20% polyester\r\nRound Neck \r\nSlim Fit\r\nHalf Sl', 'assets/products/men/vneckWhite.jpg', 3, 2),
('Round Neck T-Shirt', 20, '350.00', 'Round Neck T-Shirt', 'assets/products/men/roundneckBlack.jpg', 4, 2),
('Round Neck T-Shirt', 20, '350.00', '80% Cotton and 20% polyester Round Neck Slim Fit Half Sleeve', 'assets/products/men/roundneckBlue.jpg', 5, 2),
('Collar T-Shirt', 20, '500.00', '60% Cotton and 40% polyester Collar Neck Slim Fit Half Sleev', 'assets/products/men/collarblack.jpg', 6, 2),
('Collar T-Shirt', 20, '500.00', '60% Cotton and 40% polyester Collar Neck Slim Fit Half Sleev', 'assets/products/men/collarBlue.jpg', 7, 2),
('Half Sleeve Shirt', 20, '500.00', '80% Cotton and 20% polyester \r\nRegular Fit \r\nHalf Sleeve \r\nM', 'assets/products/men/halfsleeveshirtGreen.jpg', 8, 2),
('Half Sleeve Shirt', 20, '500.00', '80% Cotton and 20% polyester \r\nRegular Fit \r\nHalf Sleeve \r\nM', 'assets/products/men/halfsleeveshirtWhite.jpg', 9, 2),
('Full Sleeve Shirt', 20, '650.00', '80% Cotton and 20% polyester\r\nSlim Fit \r\nFull Sleeve \r\nMachi', 'assets/products/men/fullsleeveBlue.jpg', 10, 2),
('Full Sleeve Shirt', 20, '650.00', '80% Cotton and 20% polyester\r\nSlim Fit \r\nFull Sleeve \r\nMachi', 'assets/products/men/fullsleeveRed.jpg', 11, 2),
('Joggers Tracks', 20, '700.00', '97% cotton and 3% elastane\r\nSlim Fit\r\nCold Water Machine Was', 'assets/products/men/joggertracksBlack.jpg', 12, 2),
('Joggers Tracks', 20, '700.00', '97% cotton and 3% elastane\r\nSlim Fit\r\nCold Water Machine Was', 'assets/products/men/joggertracksGrey.jpg', 13, 2),
('Jogger Jeans', 20, '800.00', 'Material:- Denim Jeans\r\nSlim Fit\r\nCold Water Machine Wash\r\nM', 'assets/products/men/joggerjeansBlack.jpg', 14, 2),
('Jogger Jeans', 20, '800.00', 'Material:- Denim Jeans\r\nSlim Fit\r\nCold Water Machine Wash\r\nM', 'assets/products/men/joggerjeansBlue.jpg', 15, 2),
('Jeans', 20, '1000.00', '\r\nDenim Jeans\r\nSlim Fit\r\nCold Water Machine Wash\r\nMade in In', 'assets/products/men/jeansBlack.jpg', 16, 2),
('Jeans', 20, '1000.00', '\r\nDenim Jeans\r\nSlim Fit\r\nCold Water Machine Wash\r\nMade in In', 'assets/products/men/jeansBlue.jpg', 17, 2),
('Shorts', 20, '450.00', '100% combed Cotton\r\nBillabong Shorts\r\nMachine Wash\r\nMade In ', 'assets/products/men/shortsBlack.jpg', 18, 2),
('Shorts', 20, '450.00', '100% combed Cotton\r\nBillabong Shorts\r\nMachine Wash\r\nMade In ', 'assets/products/men/shortsCargo.jpg', 19, 2),
('Shorts', 20, '400.00', '100% combed Cotton\r\nBillabong Shorts\r\nMachine Wash\r\nMade In ', 'assets/products/men/men1.jpeg', 20, 2),
('Jogger Jeans', 20, '450.00', '100% combed Cotton\r\nBillabong Shorts\r\nMachine Wash\r\nMade In ', 'assets/products/men/men2.jpeg', 21, 2),
('Jogger Jeans', 20, '350.00', '100% combed Cotton\r\nBillabong Shorts\r\nMachine Wash\r\nMade In ', 'assets/products/men/men3.jpeg', 22, 2),
('Jeans', 20, '450.00', '100% combed Cotton\r\nBillabong Shorts\r\nMachine Wash\r\nMade In ', 'assets/products/men/men4.jpeg', 23, 2),
('Jogger Jeans', 20, '450.00', '100% combed Cotton\r\nBillabong Shorts\r\nMachine Wash\r\nMade In ', 'assets/products/men/men5.jpeg', 24, 2),
('Black Croptop', 20, '500.00', 'Black CropTop', 'assets/products/women/croptopBlack.jpg', 25, 3),
('Pink CropTop', 20, '600.00', 'Pink CropTop', 'assets/products/women/croptopPink.jpg', 26, 3),
('Blue Gown', 30, '3000.00', 'Blue Gown', 'assets/products/women/gownBlue.jpg', 27, 3),
('Red Gown', 30, '4000.00', 'Red Gown', 'assets/products/women/gownRed.jpg', 28, 3),
('Black Jeans', 25, '1500.00', 'Black Jeans', 'assets/products/women/jeansBlack.jpg', 29, 3),
('Blue Jeans', 15, '1400.00', 'Blue Jeans', 'assets/products/women/jeansblue.jpg', 30, 3),
('Black Leggings', 20, '600.00', 'Black Leggings', 'assets/products/women/leggingsBlack.jpg', 31, 3),
('Grey Leggings', 40, '700.00', 'Grey Leggings', 'assets/products/women/leggingsGrey.jpg', 32, 3),
('Black One Piece', 20, '3500.00', 'Black One Piece', 'assets/products/women/onepieceBlack.jpg', 33, 3),
('Blue One Piece', 25, '3750.00', 'Blue One Piece', 'assets/products/women/onepieceBlue.jpg', 34, 3),
('Black & White Ringtees', 20, '900.00', 'Black & White Ringtees', 'assets/products/women/ringteesBlackWhite.jpg', 35, 3),
('', 30, '1799.00', 'Red & White Ringtees', 'assets/products/women/ringteesRedWhite.jpg', 36, 3),
('Blue Shirt', 50, '1500.00', 'Blue Shirt', 'assets/products/women/shirtBlue.jpg', 37, 3),
('Maroon Shirt', 40, '1600.00', 'Maroon Shirt', 'assets/products/women/shirtMaroon.jpg', 38, 3),
('Black Shorts', 30, '700.00', 'Black Shorts', 'assets/products/women/shortsBlack.jpg', 39, 3),
('Blue Shorts', 30, '900.00', 'Blue Shorts', 'assets/products/women/shortsBlue.jpg', 40, 3),
('Black Skirt', 20, '1300.00', 'Black Skirt', 'assets/products/women/skirtBlack.jpg', 41, 3),
('Blue Skirt', 35, '1500.00', 'Blue Skirt', 'assets/products/women/skirtBlue.jpg', 42, 3),
('Blue Top', 40, '1500.00', 'Blue Top', 'assets/products/women/topBlue.jpg', 43, 3),
('Pink Top', 50, '1200.00', 'Pink Top', 'assets/products/women/topPink.jpg', 44, 3),
('Yellow Skirt', 50, '1000.00', 'Yellow Skirt', 'assets/products/women/women1.jpeg', 45, 3),
('Skirt', 50, '1500.00', 'Skirt', 'assets/products/women/women2.jpeg', 46, 3),
('Black Skirt', 50, '1200.00', 'Black Skirt', 'assets/products/women/women3.jpeg', 47, 3),
('Sport Clothes', 50, '1200.00', 'Sport Clothes', 'assets/products/women/women4.jpeg', 48, 3),
('Black Collar T-Shirt', 20, '500.00', 'Black Collar T-Shirt', 'assets/products/kids/collartshirtBlack.jpg', 49, 1),
('White Collar T-Shirt', 25, '700.00', 'White Collar T-Shirt', 'assets/products/kids/collartshirtWhite.jpg', 50, 1),
('Red Full Sleeve Shirt', 25, '1200.00', 'Red Full Sleeve Shirt', 'assets/products/kids/fullsleeveRedBlack.jpg', 51, 1),
('White Full Sleeve Shirt', 20, '1300.00', 'White Full Sleeve Shirt', 'assets/products/kids/fullsleeveWhite.jpg', 52, 1),
('White Half Sleeve Shirt', 25, '1500.00', 'White Half Sleeve Shirt', 'assets/products/kids/halfsleeveBlackWhite.jpg', 53, 1),
('Red & White Half Sleeve Shirt', 25, '1400.00', 'Red & White Half Sleeve Shirt', 'assets/products/kids/halfsleeveWhiteRed.jpg', 54, 1),
('Black Jeans', 25, '1700.00', 'Black Jeans', 'assets/products/kids/jeansBlack.jpg', 55, 1),
('Blue Jeans', 25, '1800.00', 'Blue Jeans', 'assets/products/kids/jeansBlue.jpg', 56, 1),
('Black Jogger Jeans', 25, '1600.00', 'Black Jogger Jeans', 'assets/products/kids/joggerjeansBlack.jpg', 57, 1),
('Blue Jogger Jeans', 50, '900.00', 'Blue Jogger Jeans', 'assets/products/kids/joggerjeansBlue.jpg', 58, 1),
('Black Round Neck T-Shirt', 50, '600.00', 'Black Round Neck T-Shirt', 'assets/products/kids/roundneckBlack.jpg', 59, 1),
('Red Round Neck T-Shirt', 50, '700.00', 'Red Round Neck T-Shirt', 'assets/products/kids/roundneckRed.jpg', 60, 1),
('Blue Shorts', 50, '300.00', 'Blue Shorts', 'assets/products/kids/shortsBlue.jpg', 61, 1),
('Green Shorts', 25, '350.00', 'Green Shorts', 'assets/products/kids/shortsGreen.jpg', 62, 1),
('Black Skirt', 25, '600.00', 'Black Skirt', 'assets/products/kids/skirtBlack.jpg', 63, 1),
('Pink Skirt', 25, '700.00', 'Pink Skirt', 'assets/products/kids/skirtPink.jpg', 64, 1),
('Black Track Pant', 25, '900.00', 'Black Track Pant', 'assets/products/kids/trackpantBlack.jpg', 65, 1),
('Grey Track Pant', 30, '800.00', 'Grey Track Pant', 'assets/products/kids/trackpantGrey.jpg', 66, 1),
('Black V-Neck T-Shirt', 35, '1300.00', 'Black V-Neck T-Shirt', 'assets/products/kids/vneckBlack.jpg', 67, 1),
('Green Top for Girls', 35, '1000.00', 'Green Top for Girls', 'assets/products/kids/vneckGreen.jpg', 68, 1),
('Sport Clothes for children', 35, '1000.00', 'Sport Clothes for children', 'assets/products/kids/kid1.jpeg', 69, 1),
('Sport Clothes for children', 35, '1000.00', 'Sport Clothes for children', 'assets/products/kids/kid2.jpeg', 70, 1),
('Sport Clothes for children', 35, '1000.00', 'Sport Clothes for children', 'assets/products/kids/kid3.jpeg', 71, 1),
('Sport Clothes for children', 35, '1000.00', 'Sport Clothes for children', 'assets/products/kids/kid4.jpeg', 72, 1);
-- --------------------------------------------------------
--
-- Cấu trúc bảng cho bảng `user_web`
--
CREATE TABLE `user_web` (
`user_id` int(11) UNSIGNED NOT NULL,
`name` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`gender` varchar(10) COLLATE utf8_unicode_ci NOT NULL,
`email` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`password` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`address` varchar(255) COLLATE utf8_unicode_ci NOT NULL,
`phone_number` varchar(20) COLLATE utf8_unicode_ci NOT NULL,
`created_at` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
`updated_at` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00'
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_unicode_ci COMMENT='User table';
--
-- Chỉ mục cho các bảng đã đổ
--
--
-- Chỉ mục cho bảng `admin_web`
--
ALTER TABLE `admin_web`
ADD PRIMARY KEY (`admin_id`);
--
-- Chỉ mục cho bảng `category_web`
--
ALTER TABLE `category_web`
ADD PRIMARY KEY (`category_id`);
--
-- Chỉ mục cho bảng `contact_web`
--
ALTER TABLE `contact_web`
ADD PRIMARY KEY (`contact_id`);
--
-- Chỉ mục cho bảng `order_detail_web`
--
ALTER TABLE `order_detail_web`
ADD PRIMARY KEY (`order_detail_id`),
ADD KEY `product_id` (`product_id`),
ADD KEY `order_code` (`order_code`);
--
-- Chỉ mục cho bảng `order_web`
--
ALTER TABLE `order_web`
ADD PRIMARY KEY (`order_id`),
ADD KEY `order_code` (`order_code`),
ADD KEY `order_code_2` (`order_code`),
ADD KEY `order_code_3` (`order_code`),
ADD KEY `user_id` (`user_id`),
ADD KEY `order_code_4` (`order_code`);
--
-- Chỉ mục cho bảng `product_web`
--
ALTER TABLE `product_web`
ADD PRIMARY KEY (`product_id`),
ADD KEY `category_id` (`category_id`);
--
-- Chỉ mục cho bảng `user_web`
--
ALTER TABLE `user_web`
ADD PRIMARY KEY (`user_id`);
--
-- AUTO_INCREMENT cho các bảng đã đổ
--
--
-- AUTO_INCREMENT cho bảng `admin_web`
--
ALTER TABLE `admin_web`
MODIFY `admin_id` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2;
--
-- AUTO_INCREMENT cho bảng `category_web`
--
ALTER TABLE `category_web`
MODIFY `category_id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- AUTO_INCREMENT cho bảng `contact_web`
--
ALTER TABLE `contact_web`
MODIFY `contact_id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT cho bảng `order_detail_web`
--
ALTER TABLE `order_detail_web`
MODIFY `order_detail_id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=29;
--
-- AUTO_INCREMENT cho bảng `order_web`
--
ALTER TABLE `order_web`
MODIFY `order_id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=24;
--
-- AUTO_INCREMENT cho bảng `product_web`
--
ALTER TABLE `product_web`
MODIFY `product_id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=74;
--
-- AUTO_INCREMENT cho bảng `user_web`
--
ALTER TABLE `user_web`
MODIFY `user_id` int(11) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=5;
--
-- Các ràng buộc cho các bảng đã đổ
--
--
-- Các ràng buộc cho bảng `order_detail_web`
--
ALTER TABLE `order_detail_web`
ADD CONSTRAINT `order_detail_web_ibfk_1` FOREIGN KEY (`product_id`) REFERENCES `product_web` (`product_id`) ON DELETE CASCADE ON UPDATE CASCADE,
ADD CONSTRAINT `order_detail_web_ibfk_2` FOREIGN KEY (`order_code`) REFERENCES `order_web` (`order_code`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Các ràng buộc cho bảng `order_web`
--
ALTER TABLE `order_web`
ADD CONSTRAINT `order_web_ibfk_1` FOREIGN KEY (`user_id`) REFERENCES `user_web` (`user_id`) ON DELETE CASCADE ON UPDATE CASCADE;
--
-- Các ràng buộc cho bảng `product_web`
--
ALTER TABLE `product_web`
ADD CONSTRAINT `product_web_ibfk_1` FOREIGN KEY (`category_id`) REFERENCES `category_web` (`category_id`) ON DELETE CASCADE ON UPDATE CASCADE;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
DROP TABLE IF EXISTS orders CASCADE;
CREATE TABLE orders (
id SERIAL PRIMARY KEY NOT NULL,
customer_id INTEGER REFERENCES customers(id) ON DELETE CASCADE,
order_date DATE NOT NULL DEFAULT CURRENT_DATE,
order_time TEXT NOT NULL DEFAULT to_char(NOW()::TIME, 'HH12:MI AM'),
is_payment_correct BOOLEAN NOT NULL DEFAULT TRUE,
is_order_complete BOOLEAN NOT NULL DEFAULT FALSE
);
|
--<등가조인과 비등가조인>
--SELECT 테이블1.컬럼, ... 테이블2.컬럼, ...
--FROM 테이블1, 테이블2, ...
--WHERE 조인조건
--AND 일반조건
--A) 조인조건에 '='를 사용하는 것을 등가조인
-- 부등호를 사용하는 것을 비등가조인이라 한다
--1) 각 사원의 근무 부서를 검색한다
SELECT EMP.ENO 사번, EMP.ENAME 이름, EMP.DNO 부서번호,
DEPT.DNO 부서번호, DEPT.DNAME 부서명
FROM EMP, DEPT
WHERE DEPT.DNO = EMP.DNO;
SELECT ENO 사번, ENAME 이름, EMP.DNO 부서번호,
DEPT.DNO 부서번호, DNAME 부서명
FROM EMP, DEPT
WHERE DEPT.DNO = EMP.DNO;
--2) 부산에서 근무하는 직원의 명단을 검색한다(부서번호와 부서명도 검색)
SELECT LOC 근무처, DEPT.DNO 부서번호, DNAME 부서명, ENO 사번, ENAME 이름
FROM DEPT, EMP
WHERE DEPT.DNO = EMP.DNO
AND LOC='부산';
SELECT LOC 근무처, D.DNO 부서번호, DNAME 부서명, ENO 사번, ENAME 이름
FROM DEPT D, EMP E
WHERE D.DNO = E.DNO
AND LOC='부산';
--비등가 조인
--3) 각 직원의 급여 등급을 검색하라
SELECT ENO 사번, ENAME 이름, SAL 급여, GRADE 등급
FROM EMP, SALGRADE
WHERE SAL BETWEEN LOSAL AND HISAL
ORDER BY GRADE;
SELECT ENO 사번, ENAME 이름, SAL 급여, GRADE 등급
FROM EMP, SALGRADE
WHERE SAL >= LOSAL AND SAL <= HISAL
ORDER BY GRADE;
--4) 각 직원의 급여를 10% 인상한 경우 급여 등급을 검색한다
SELECT ENO 사번, ENAME 이름, SAL * 1.1 "인상된 급여", GRADE 등급
FROM EMP, SALGRADE
WHERE SAL * 1.1 BETWEEN LOSAL AND HISAL
ORDER BY GRADE;
--5) 잘못된 조인문장
--조인조건이 없게되거나 잘못 조건을 기술하면
--모든 행이 1:1로 대응된 잘못된 결과값(Catersian Product)를
--얻게 된다
--교차 조인(Cross Join)은 일반적으로 잘못된 결과이다
--dept의 7개 행과
--emp의 15개 행이 모두 1:1 대응된 것이다
SELECT D.DNO, DNAME, E.DNO, ENAME
FROM DEPT D, EMP E;
|
select
distinct last_value(dup_repo_name) over by_date as repo_name
from (
select
e.repo_id,
e.dup_repo_name,
max(e.created_at) as max_date
from
gha_events e,
gha_actors_affiliations aa
where
e.type in ({{event_types}})
and e.dup_repo_name like '%_/_%'
and e.dup_repo_name not like '%/%/%'
and e.dup_repo_name not like all(array['youtube/%', 'apcera/%', 'docker/%'])
and e.actor_id = aa.actor_id
and e.created_at >= aa.dt_from
and e.created_at < aa.dt_to
and aa.company_name in ({{companies}})
and aa.company_name != ''
group by
e.repo_id,
e.dup_repo_name
) sub
window
by_date as (
partition by
repo_id
order by
max_date asc
range
between unbounded preceding
and unbounded following
)
order by
repo_name
|
/****** Object: UserDefinedFunction [dbo].[fnc_CWI_GetDivisionMarkupInvoice] Script Date: 6/20/2014 8:25:00 PM ******/
IF EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[dbo].[fnc_CWI_GetDivisionMarkupInvoice]') AND type in (N'FN', N'IF', N'TF', N'FS', N'FT'))
DROP FUNCTION [dbo].[fnc_CWI_GetDivisionMarkupInvoice]
GO
/****** Object: UserDefinedFunction [dbo].[fnc_CWI_GetDivisionMarkupInvoice] Script Date: 6/20/2014 8:25:00 PM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
IF NOT EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[dbo].[fnc_CWI_GetDivisionMarkupInvoice]') AND type in (N'FN', N'IF', N'TF', N'FS', N'FT'))
BEGIN
execute dbo.sp_executesql @statement = N'-- =============================================
-- Author: Mohankumar Sundaram
-- Create date: 17JUN14
-- Description: Return the calculated invoice for the cost based on Division''s markup and job''s classification
-- select dbo.fnc_CWI_GetDivisionMarkupInvoice(1234,401,12)
-- =============================================
CREATE FUNCTION [dbo].[fnc_CWI_GetDivisionMarkupInvoice]
(
@inDivisionID int,
@inClassificationId int,
@cost decimal(18,2)
)
RETURNS decimal(18,5)
BEGIN
DECLARE @markup decimal(18,5)
DECLARE @markupPct decimal(18,5)
DECLARE @invoice decimal(18,5)
DECLARE @roundTo int
SELECT
@markupPct = ISNULL( CASE WHEN ISNULL(cc.MarkupPct,-1.00) = -1.00
THEN (SELECT ISNULL(MarkupPct,0) FROM CWI_Client WHERE ID = @inDivisionID)
ELSE CC.MarkupPct
END,0) ,
@roundTo = COALESCE(CC.RoundToLookupID,3005)/*Standard*/
FROM CWI_ClientClassification CC
WHERE CC.ClientID = @inDivisionID AND CC.ClassificationLookupID=@inClassificationId
SET @markup = ISNULL(@markupPct/100.0 ,0)
/*
1. (Cost of Media * Markup) + Cost of Media = (15.52 * .1765) + 15.52 = 18.25982
2. The number above should always be rounded to 4 decimals to the right.
There must be a standard used otherwise you never know how many decimals to use.
In this case that would round the number to 18.2598.
If the fifth decimal to the right is 5 or higher then it would have rounded this number to 18.2599.
*/
SET @invoice = ROUND((@cost * @markup) + @cost, 4)
/*
Next Dollar: This is the simplest one. You simply round up always to the next dollar.
In this case because your result was higher than $18 your Invoice amount would be $19.00
*/
if (@roundTo = 3003) /*Next Dollar */
Begin
SET @invoice = CEILING(@invoice);
End
ELSE if (@roundTo = 3004) /*Nearest Dollar */
/*
Nearest Dollar: Nearest Dollar provides the same type of rounding rules, but to rounded to the appropriate digit left of the decimal.
In this case your rounding from 18.2598 which is your result would please the Invoice amount at $18.00 because
you
r result would not present a 5 or higher on the first digit to the right of the decimal.
In the case that this value would have been 18.5528 the result would have been $19.00 because your at or above .50 (fifty cents).
Note: Rounding matters here.
If your result would have been 18.49 you would still end up rounding making the “4” a “5”
because the next digit to the right is above “5” (a 9). That would extend the number to .5 or higher
therefore rounding the result up to $19.00. I hope that m
akes sense. Basically the rules of rounding apply
similar to those rules in the “Standard” except instead of stopping your rounding at two positions to the right of the decimal
you are extending your rounding to the first digit to the left of the de
cimal.
*/
Begin
select @invoice = ROUND( ROUND(@invoice ,1),0)
End
ELSE /* STANDARD */
/*
Standard: Standard should not provide the same rounding to two digits for the invoice.
In this instance it would be $18.26 because you are at 18.259 (third digit is 5 or higher therefore we round up).
*/
Begin
SET @invoice = ROUND(@invoice,2);
End
RETURN @invoice
END
'
END
GO
|
-- Part 1: Working with tasks
USE hyf_lesson2;
-- 1. Add a task with these attributes: title, description, created, updated, due_date, status_id
INSERT INTO task (title, description, created, updated, due_date, status_id)
VALUES ('my sql', 'Learning sql', NOW(), NOW(), '2021-01-01 12:00:00', 2);
-- 2. Change the title of a task
UPDATE task
SET title = 'Lesson2'
WHERE id = 38;
-- 3. Change a task due date
UPDATE task
SET due_date = '2020-01-06 12:00:00'
WHERE id = 38;
-- 4. Change a task status
UPDATE task
SET status_id = 1
WHERE id = 38;
-- 5. Mark a task as complete
UPDATE task
SET status_id = 3
WHERE id = 38;
-- 6. Delete a task
DELETE FROM task
WHERE id = 38;
|
create TABLE mx_final as
select b.*,
case
when b.迟到='0' AND b.早退='0' and b.旷工='0' and b.未打卡='0' then '正常' else '异常' end 类型 from
(select a.姓名, a.日期, a.上班, a.下班,
case
when 日期 in (select riqi from zhoumo) then 0
when TIMESTAMPDIFF(MINUTE, CONCAT(日期,'09:30'), CONCAT(日期,上班))>60 then '>1小时'
when TIMESTAMPDIFF(MINUTE, CONCAT(日期,'09:30'), CONCAT(日期,上班))>15 then '<=1小时'
when TIMESTAMPDIFF(MINUTE, CONCAT(日期,'09:30'), CONCAT(日期,上班))>0 then '<=15分钟'
else 0 END 迟到,
case
when 日期 in (select riqi from zhoumo) then 0
when TIMESTAMPDIFF(MINUTE, CONCAT(日期,下班), CONCAT(日期,'18:30'))>60 then '>1小时'
when TIMESTAMPDIFF(MINUTE, CONCAT(日期,下班), CONCAT(日期,'18:30'))>0 then '<=1小时'
# WHEN a.下班 > '17:30' and a.下班 < '18:30' then 1
else 0
end 早退,
case
when 日期 in (select riqi from zhoumo) then 0
when a.上班 is null or a.下班 is null then 1 else 0 end 未打卡,
case
when 日期 in (select riqi from zhoumo) then 1
WHEN a.下班 >= '21:00' then 1 else 0 end 加班,
case
# 迟到早退1个小时以上记为旷工
when 日期 in (select riqi from zhoumo) then 0
when TIMESTAMPDIFF(MINUTE, CONCAT(日期,下班), CONCAT(日期,'18:30'))>60 then 1
when TIMESTAMPDIFF(MINUTE, CONCAT(日期,'09:30'), CONCAT(日期,上班)) >60 then 1
WHEN a.下班 < '17:30' then 1 else 0 end 旷工
from mx_origin a) b |
CREATE TABLE IF NOT EXISTS `kwc_newsletter_deleted_subscriber_hashes` (
`id` char(40) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
ALTER TABLE `kwc_newsletter_deleted_subscriber_hashes`
ADD PRIMARY KEY (`id`);
|
--
-- Database: `site`
--
-- --------------------------------------------------------
--
-- Estrutura da tabela `ci_sessions`
--
DROP TABLE IF EXISTS `ci_sessions`;
CREATE TABLE IF NOT EXISTS `ci_sessions` (
`session_id` varchar(40) NOT NULL DEFAULT '0',
`ip_address` varchar(45) NOT NULL DEFAULT '0',
`user_agent` varchar(120) NOT NULL,
`last_activity` bigint(20) UNSIGNED NOT NULL DEFAULT '0',
`user_data` text NOT NULL,
PRIMARY KEY (`session_id`),
KEY `last_activity_idx` (`last_activity`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Estrutura da tabela `users`
--
DROP TABLE IF EXISTS `users`;
CREATE TABLE IF NOT EXISTS `users` (
`id` int(10) NOT NULL AUTO_INCREMENT,
`username` varchar(50) NOT NULL,
`password` varchar(50) NOT NULL,
`email` varchar(100) NOT NULL,
`fullname` varchar(100) NOT NULL,
PRIMARY KEY (`id`),
UNIQUE KEY `username` (`username`),
UNIQUE KEY `email` (`email`)
) ENGINE=InnoDB AUTO_INCREMENT=13 DEFAULT CHARSET=utf8;
--
-- Extraindo dados da tabela `users`
--
INSERT INTO `users` (`id`, `username`, `password`, `email`, `fullname`) VALUES
(0, 'Admin', 'cfWLjMYEMi.051ef8481d7d27df3b573498b157c165', 'admin@adm.in', 'Admin');
|
use DBTonysKinal2019063;
DELIMITER $$
Create procedure sp_Listar_Reporte(in codEmpresa int)
Begin
select * from empresa E inner join presupuesto P on
E.codigoEmpresa=P.codigoEmpresa
inner join servicio S on
P.codigoEmpresa=S.codigoEmpresa
where E.codigoEmpresa=codEmpresa group by S.tipo_Servicio HAVING COUNT(*) > 1;
END $$;
DELIMITER ;
call sp_Listar_Reporte(2);
select S.codigoServicio, P.codigoPlato from servicio S inner join plato P where S.codigoServicio=1 and P.codigoPlato=3;
Select * from Servicio S inner join servicio_has_plato sP on
S.codigoServicio=sP.codigoServicio inner join Plato P
on P.codigoPlato= sP.codigoPlato
where S.codigoServicio=2
|
drop table if exists Customer;
create table Customer(
cID INT primary key,
cNAME VARCHAR(30) not null,
PHONE_NUMBER varchar(9) not null,
Address varchar(150),
constraint k_Customer unique(address)
);
insert into customer values(1001,'Sarah Kim',012366252,'124 Nguyen Van Linh');
insert into customer values(1002,'Kathy Man',012366251,'125 Nguyen Van Linh');
insert into customer values(1003,'Nguyen Nguyen',012366233,'126 Nguyen Van Linh');
insert into customer values(1004,'John Lee',012366257,'127 Nguyen Van Linh');
insert into customer values(1005,'John Kim',012363252,'120 Nguyen Van Linh');
drop table if exists Product;
create table Product(
pID varchar(30) primary key,
pNAME VARCHAR(30),
Price_$ int,
Type varchar(30),
color varchar(30),
constraint k_Product unique(Price_$,Type,color)
);
insert into Product values('BR001', 'Gold bracelet', 10, 'bracelet','gold');
insert into Product values('BR002', 'sliver bracelet', 150, 'bracelet','silver');
insert into Product values('BR003', 'Gold neckless', 123, 'neckless', 'gold');
insert into Product values('BR004', 'Gold neckless', 199, 'neckless', 'silver');
insert into Product values('BR005', 'Diamold earring', 299, 'earring', 'diamold');
insert into Product values('BR006', 'Diamold ring', 200, 'ring', 'diamold');
drop table if exists Sale;
create table Sale(
transaction_ID VARCHAR(7) primary key,
/* how to do 7 digit number??*/
cID INT,
date date,
total_price_$ int,
constraint k_Sale unique(date,total_price_$),
constraint pk_Customer
foreign key(cID)
REFERENCES Customer(cID),
check (date>'2017-12-31')
);
insert into Sale values(1800008, 1001, '2018-09-09', 150);
insert into Sale values(1800001, 1002, '2018-09-01', 190);
insert into Sale values(1800002, 1003, '2018-09-10', 240);
insert into Sale values(1800003, 1004, '2018-10-09', 540);
insert into Sale values(1800004, 1005, '2018-06-10', 850);
insert into Sale values(1800005, 1006, '2018-06-10', 850);
drop table if exists Sale_detail;
create table Sale_detail(
pID varchar(30),
transaction_ID VARCHAR(7),
quantity int,
/* it is connected with table above, still need to solve this problem*/
constraint k_Sale_detail unique(quantity),
foreign key (pID) references product(pID),
foreign key (transaction_ID) references Sale(transaction_ID),
check(transaction_ID >= 1800000)
);
insert into Sale_detail values('BR001', 1800008, 10);
insert into Sale_detail values('BR002', 1800001, 4);
insert into Sale_detail values('BR003', 1800002, 6);
insert into Sale_detail values('BR004', 1800003, 9);
insert into Sale_detail values('BR005', 1800004, 14);
insert into Sale_detail values('BR006', 1800005, 12);
/* 6-1*/
select pNAME
from product;
/* 6-2*/
select transaction_ID
from sale
where transaction_ID = 1800001;
/* 6-3*/
select date
from sale
where date between '2018-09-01' and '2018-09-30';
/* 6-4*/
update Product set price_$ = price_$+1
where Type= 'bracelet';
/* 6-5*/
update Product set price_$ = price_$-1
where Type= 'ring';
|
-- MySQL dump 10.13 Distrib 5.7.17, for Win64 (x86_64)
--
-- Host: localhost Database: trainticketdb
-- ------------------------------------------------------
-- Server version 5.7.20-log
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
/*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */;
/*!40103 SET TIME_ZONE='+00:00' */;
/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
--
-- Table structure for table `admins_tbl`
--
DROP TABLE IF EXISTS `admins_tbl`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `admins_tbl` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`username` varchar(16) DEFAULT NULL,
`passcode` varchar(12) DEFAULT NULL,
`name` varchar(12) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `admins_tbl`
--
LOCK TABLES `admins_tbl` WRITE;
/*!40000 ALTER TABLE `admins_tbl` DISABLE KEYS */;
INSERT INTO `admins_tbl` VALUES (1,'add','add','add'),(2,'','',''),(3,'test','test','tst'),(4,'asd','dsa','asd');
/*!40000 ALTER TABLE `admins_tbl` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `employees_tbl`
--
DROP TABLE IF EXISTS `employees_tbl`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `employees_tbl` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(45) DEFAULT NULL,
`gender` varchar(12) DEFAULT NULL,
`address` varchar(45) DEFAULT NULL,
`dateofbirth` text,
`qualification` varchar(45) DEFAULT NULL,
`phone` varchar(45) DEFAULT NULL,
`salary` varchar(12) DEFAULT NULL,
`username` varchar(25) DEFAULT NULL,
`password` varchar(20) DEFAULT NULL,
`dateofjoin` text,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=7 DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `employees_tbl`
--
LOCK TABLES `employees_tbl` WRITE;
/*!40000 ALTER TABLE `employees_tbl` DISABLE KEYS */;
INSERT INTO `employees_tbl` VALUES (1,'Ahmed','Male','Eight-District','1995-11-18','Fresh Graduate','01110237722','15000','asd','asd','2018-04-18'),(3,'Ass','Male','ssssss','1997-04-18','Fresh Graduate','sssssssssss','ssss','ssss','ssss','2018-04-18'),(6,'mostafa','Male','test','1997-04-20','Fresh Graduate','01004722076','test','test','test','2018-04-20');
/*!40000 ALTER TABLE `employees_tbl` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `train_seats_tbl`
--
DROP TABLE IF EXISTS `train_seats_tbl`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `train_seats_tbl` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`trainID` int(11) NOT NULL,
`seat` text,
`state` text,
`passID` varchar(45) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `trainID` (`trainID`),
CONSTRAINT `train_seats_tbl_ibfk_1` FOREIGN KEY (`trainID`) REFERENCES `train_tbl` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=21 DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `train_seats_tbl`
--
LOCK TABLES `train_seats_tbl` WRITE;
/*!40000 ALTER TABLE `train_seats_tbl` DISABLE KEYS */;
INSERT INTO `train_seats_tbl` VALUES (1,7,'A01','no','NULL'),(2,7,'A02','no','NULL'),(3,7,'A03','no','NULL'),(4,7,'A04','no','NULL'),(5,7,'A05','no','NULL'),(6,7,'A06','no','NULL'),(7,7,'A07','no','NULL'),(8,7,'A08','no',NULL),(9,7,'A09','no',NULL),(10,7,'A10','no',NULL),(11,7,'B01','no',NULL),(12,7,'B02','no',NULL),(13,7,'B03','no',NULL),(14,7,'B04','no',NULL),(15,7,'B05','no',NULL),(16,7,'B06','no',NULL),(17,7,'B07','no',NULL),(18,7,'B08','no',NULL),(19,7,'B09','no',NULL),(20,7,'B10','no',NULL);
/*!40000 ALTER TABLE `train_seats_tbl` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `train_stops_tbl`
--
DROP TABLE IF EXISTS `train_stops_tbl`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `train_stops_tbl` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`trainID` int(11) NOT NULL,
`stop` text,
`op` text,
`stopID` int(11) DEFAULT NULL,
PRIMARY KEY (`id`),
KEY `trainID` (`trainID`),
CONSTRAINT `train_stops_tbl_ibfk_1` FOREIGN KEY (`trainID`) REFERENCES `train_tbl` (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=4 DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `train_stops_tbl`
--
LOCK TABLES `train_stops_tbl` WRITE;
/*!40000 ALTER TABLE `train_stops_tbl` DISABLE KEYS */;
INSERT INTO `train_stops_tbl` VALUES (1,7,'D','saaa',1),(2,7,'G','saaa',2),(3,7,'F','saaa',3);
/*!40000 ALTER TABLE `train_stops_tbl` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `train_tbl`
--
DROP TABLE IF EXISTS `train_tbl`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `train_tbl` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(45) DEFAULT NULL,
`op` text,
`fs` text,
`leaveTime` varchar(45) DEFAULT NULL,
`adminID` varchar(45) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=8 DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `train_tbl`
--
LOCK TABLES `train_tbl` WRITE;
/*!40000 ALTER TABLE `train_tbl` DISABLE KEYS */;
INSERT INTO `train_tbl` VALUES (1,'Gizah-Aswan','Giza','Aswan','7:00 AM','1'),(4,'Giza-Alex','Giza','Alex','9:00 AM','2'),(5,'egypt-borkenafaso','egypt','borkenafaso','3:00PM','30'),(7,'Saa','saaa','sssdd','7:00 AM','44');
/*!40000 ALTER TABLE `train_tbl` ENABLE KEYS */;
UNLOCK TABLES;
--
-- Table structure for table `train_ticket_tbl`
--
DROP TABLE IF EXISTS `train_ticket_tbl`;
/*!40101 SET @saved_cs_client = @@character_set_client */;
/*!40101 SET character_set_client = utf8 */;
CREATE TABLE `train_ticket_tbl` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`trainName` varchar(45) DEFAULT NULL,
`seats` text,
`op` varchar(45) DEFAULT NULL,
`dest` text,
`passName` varchar(45) DEFAULT NULL,
`passNumber` varchar(45) DEFAULT NULL,
`passEmail` varchar(45) DEFAULT NULL,
`totalcost` varchar(45) DEFAULT NULL,
`validDate` text,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=16 DEFAULT CHARSET=utf8;
/*!40101 SET character_set_client = @saved_cs_client */;
--
-- Dumping data for table `train_ticket_tbl`
--
LOCK TABLES `train_ticket_tbl` WRITE;
/*!40000 ALTER TABLE `train_ticket_tbl` DISABLE KEYS */;
INSERT INTO `train_ticket_tbl` VALUES (13,'Giza-Alex','5','Wahet Omar','Alex','Ahmed','ssss','ssss','85','2018-04-20'),(14,'Giza-Alex','3','Wahet Omar','Alex','ssss','sss','sss','55','2018-04-20');
/*!40000 ALTER TABLE `train_ticket_tbl` ENABLE KEYS */;
UNLOCK TABLES;
/*!40103 SET TIME_ZONE=@OLD_TIME_ZONE */;
/*!40101 SET SQL_MODE=@OLD_SQL_MODE */;
/*!40014 SET FOREIGN_KEY_CHECKS=@OLD_FOREIGN_KEY_CHECKS */;
/*!40014 SET UNIQUE_CHECKS=@OLD_UNIQUE_CHECKS */;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
/*!40111 SET SQL_NOTES=@OLD_SQL_NOTES */;
-- Dump completed on 2018-05-07 21:21:54
|
CREATE DATABASE vcp;
GRANT SELECT,INSERT,UPDATE,DELETE,CREATE,DROP,ALTER ON vcp.* TO vcp@localhost IDENTIFIED BY 'vcpPASswORd'; |
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
--
-- Base de datos: `hotel`
--
-- --------------------------------------------------------
--
-- Estructura de tabla para la tabla `habitaciones`
--
CREATE TABLE `habitaciones` (
`numero` int(11) NOT NULL,
`precio` float NOT NULL,
`capacidadPersonas` int(11) NOT NULL,
`ocupada` tinyint(1) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Indices de la tabla `habitaciones`
--
ALTER TABLE `habitaciones` ADD PRIMARY KEY (`numero`);
--
-- Volcado de datos para la tabla `habitaciones`
--
INSERT INTO `habitaciones` (`numero`, `precio`, `capacidadPersonas`, `ocupada`) VALUES
(100, 68, 2, 0),
(101, 68, 2, 1),
(102, 79, 2, 0),
(103, 79, 2, 1),
(200, 54, 1, 1),
(201, 54, 1, 1),
(202, 98, 2, 0),
(203, 96, 2, 1),
(300, 96, 3, 0),
(301, 96, 3, 1),
(302, 105, 4, 1),
(303, 105, 4, 0);
|
DROP TABLE IF EXISTS A1;
CREATE TEMPORARY TABLE A1
(primary keY(tipoAltura))
select 'ALTA' as tipoAltura, 22 as peso
union
select 'MEDIA', 18
union
select 'BAIXA', 10;
DROP TABLE IF EXISTS A2;
CREATE TEMPORARY TABLE A2
SELECT * from A1
where tipoAltura = :tipoAltura;
DROP TABLE IF EXISTS A3;
CREATE TEMPORARY TABLE A3
(PRIMARY KEY(tipoAltura))
select A1.tipoAltura, A1.peso - A2.peso +1 as peso
FROM A1
INNER JOIN A2
ON A1.peso >= A2.peso;
DROP TABLE IF EXISTS T;
CREATE TEMPORARY TABLE T
(PRIMARY KEY(rua, predio, nivel, apto))
select E.id as idEndereco,
r.id as idRua,
CONCAT(r.numero, '-', p.numero, '-', n.numero, '-', a.numero) as endereco,
tipoPalet,
tipoAltura,
r.numero as rua,
p.numero as predio,
n.numero as nivel,
a.numero as apto,
IF(SUM(saldoConfirmado) > 0 OR SUM(saldoNConfirmado) > 0, tipoPalet, '.') as ocupacao,
A3.peso
from enderecos AS E
inner join aptos AS a
ON a.idEndereco = E.id
inner join niveis AS n
ON n.id = a.idNivel
inner join A3
using(tipoAltura)
inner join predios AS p
ON p.id = n.idPredio
inner join ruas AS r
ON r.id = p.idRua
left join saldos AS S
on E.id = S.idEndereco
where n.tipoNivel = 'PULMAO'
AND idRua IN (:ruas)
GROUP BY endereco;
DROP TABLE IF EXISTS T2;
CREATE TEMPORARY TABLE T2
(INDEX(paletes))
select * from (
select 'P' as paletes, '02' as apto, 'P' as tipoPalet, 1 as peso from dual
union
select 'P' as paletes, '02' as apto, 'T', 1 as peso from dual
union
select 'P' as paletes, '02' as apto, 'G', 2 as peso from dual
union
select '.P' as paletes, '01' as apto, 'P', 4 as peso from dual
union
select '.P' as paletes, '03' as apto, 'P', 6 as peso from dual
union
select '..P' as paletes, '02' as apto, 'P', 4 as peso from dual
union
select '..P' as paletes, '01' as apto, 'T', 6 as peso from dual
union
select '..P' as paletes, '01' as apto, 'G', 2 as peso from dual
union
select '.G' as paletes, '01' as apto, 'G', 1 as peso from dual
union
select '.G' as paletes, '01' as apto, 'P', 2 as peso from dual
union
select 'G' as paletes, '02' as apto, 'G', 1 as peso from dual
union
select 'G' as paletes, '02' as apto, 'P', 2 as peso from dual
union
select 'T' as paletes, '02' as apto, 'P', 1 as peso from dual
union
select '.T' as paletes, '01' as apto, 'P', 1 as peso from dual
union
select '' as paletes, '01' as apto, 'P', 1 as peso from dual
union
select '' as paletes, '01' as apto, 'G', 1 as peso from dual
union
select '' as paletes, '01' as apto, 'T', 1 as peso from dual
union
select '' as paletes, '01' as apto, 'X', 1 as peso from dual
) as D where tipoPalet = :tipoPalet;
DROP TABLE IF EXISTS T3;
CREATE TEMPORARY TABLE T3
(INDEX(paletes))
select rua, predio, nivel,
CAST(TRIM(TRAILING '.' FROM GROUP_CONCAT(ocupacao order by apto separator '')) AS CHAR) as paletes
from T
GROUP BY rua, predio, nivel;
select E.*, T.peso*T2.peso as recomendado, T.peso, T2.peso, T.tipoAltura,
paletes, T.tipoPalet
from T3
inner join T2
USING(paletes)
inner join T
USING(rua, predio, nivel, apto)
inner join enderecos AS E
ON E.id = T.idEndereco
GROUP BY E.id
order by recomendado, endereco |
create database AgenciaViajes;
use AgenciaViajes;
create table Sucursal (
CodigoSucursal int primary key,
Direccion varchar(60),
Telefono varchar(60)
);
create table Vuelos (
NoVuelo int primary key,
FechaVuelo SmallDateTime,
Origen varchar(30),
Destino varchar(30),
PlazasTotales int,
PlazasTurista int,
);
Create table Turista (CodigoTurista int primary key,
tel varchar(10),
Nombre varchar(50),
Apellidos varchar(30),
Direccion varchar(50));
crear tabla Hoteles (
CodigoHotel int clave principal,
Nombre varchar(30),
Direccion varchar(50),
Ciudad varchar(20),
Telefono varchar(10),
NoPlazas int,
Fllegada SmallDateTime,
FPartida SmallDateTime,
PensionMedia varchar(20),
PensionCompleta varchar(20)
);
insert into Sucursal (CodigoSucursal, Direccion, Telefono) values (1, 'Cody', '410-638-3012');
insert into Sucursal (CodigoSucursal, Direccion, Telefono) values (2, 'Rutledge', '266-560-1165');
insert into Sucursal (CodigoSucursal, Direccion, Telefono) values (3, 'Manufacturers', '406-852-6902');
insert into Sucursal (CodigoSucursal, Direccion, Telefono) values (4, 'Crescent Oaks', '912-626-4311');
insert into Sucursal (CodigoSucursal, Direccion, Telefono) values (5, 'Kim', '220-735-8452');
insert into Vuelos (NoVuelo, FechaVuelo, Origen, Destino, Plazas Totales, PlazasTurista) values (1, '6/6/2020', 'Klisura', 'Prienai', 81, 28);
insert into Vuelos (NoVuelo, FechaVuelo, Origen, Destino, Plazas Totales, PlazasTurista) values (2, '1/15/2021', 'Huangjingba', 'Ngundaan', 51, 19);
insert into Vuelos (NoVuelo, FechaVuelo, Origen, Destino, Plazas Totales, PlazasTurista) values (3, '2/23/2020', 'Lille', 'Hexi', 79, 53);
insert into Vuelos (NoVuelo, FechaVuelo, Origen, Destino, Plazas Totales, PlazasTurista) values (4, '11/22/2020', 'Fulin', 'Sorodot', 76, 22);
insert into Vuelos (NoVuelo, FechaVuelo, Origen, Destino, Plazas Totales, PlazasTurista) values (5, '7/18/2020', 'Tilburg', 'Pinhão', 63, 57);
insert into Turistas (CodigoTurista, Nombre, ApMaterno, ApPaterno, Direccion, Telefono) values ('50845-0133', 'Haily', 'Couth', 'Paute', 'Twin Pines', '669-671-8810');
insert into Turistas (CodigoTurista, Nombre, ApMaterno, ApPaterno, Direccion, Telefono) values ('64942-1038', 'Karin', 'Mityashin', 'Worpole', 'Warrior', '183-684-2364');
insert into Turistas (CodigoTurista, Nombre, ApMaterno, ApPaterno, Direccion, Telefono) values ('50184-1041', 'Eward', 'Manzell', 'Diggons', 'Bobwhite', '724-408-1689');
insert into Turistas (CodigoTurista, Nombre, ApMaterno, ApPaterno, Direccion, Telefono) values ('30142-070', 'Diandra', 'Bownes', 'Clell', 'Mariners Cove', '901-290-1092');
insert into Turistas (CodigoTurista, Nombre, ApMaterno, ApPaterno, Direccion, Telefono) values ('55118-560', 'Denni', 'Ullett', 'Cater', 'Debs', '450-182-4782');
insert into Hoteles (CodigoHotel, Nombre, Direccion, Ciudad, Telefono , NoPlazas, Fllegada, FPartida, PensionMedia, PensionCompleta) values (64, 'Hodkiewicz Group', 'Melody', 'Maputi', '327-951-0214', 14, '8/6/2020', '10/7/2020', '$2.41', '$7.51');
insert into Hoteles (CodigoHotel, Nombre, Direccion, Ciudad, Telefono , NoPlazas, Fllegada, FPartida, PensionMedia, PensionCompleta) values (58, 'Vandervort LLC', 'Washington', 'Saño', '167-971-8406', 58, '10/7/2020', '12/23/2020', '$2.15', '$4.99');
insert into Hoteles (CodigoHotel, Nombre, Direccion, Ciudad, Telefono , NoPlazas, Fllegada, FPartida, PensionMedia, PensionCompleta) values (21, 'Bartell and Sons', 'Mariners Cove', 'Ermida', '813-622-4259', 46, '11/13/2020', '7/16/2020', '$6.53', '$8.07');
insert into Hoteles (CodigoHotel, Nombre, Direccion, Ciudad, Telefono , NoPlazas, Fllegada, FPartida, PensionMedia, PensionCompleta) values (47, 'Thompson, Metz and Bahringer', 'Cordelia', 'Karanganyar', '614-479-6863', 22, '7/22/2020', '10/18/2020', '$5.23', '$6.21');
insert into Hoteles (CodigoHotel, Nombre, Direccion, Ciudad, Telefono , NoPlazas, Fllegada, FPartida, PensionMedia, PensionCompleta) values (42, 'Ferry, Schoen and Wiza', 'Sunfield', 'Gemo', '777-746-8558', 51, '8/22/2020', '4/10/2020', '$2.99', '$1.27');
|
CREATE TABLE IF NOT EXISTS TBL_TRAININGS
(
COL_ID INT NOT NULL PRIMARY KEY AUTO_INCREMENT,
COL_TOPIC VARCHAR(255) NOT NULL,
COL_LOCATION VARCHAR(255) NOT NULL,
COL_INSTRUCTOR_NAME VARCHAR(255) NOT NULL
) ENGINE=INNODB; |
# 1. Schreiben Sie eine Abfrage, die Ihnen das Minimum des Warenbestandes (unitsinstock)
# aus der Tabelle products mit dem temporären Namen 'Minimum' ausgibt.
# Das Minimum soll größer als Null sein.
SELECT MIN(products.UnitsInStock) AS 'Minimum'
FROM products
WHERE products.UnitsInStock > 0;
# 2. Schreiben Sie eine Abfrage, die Ihnen das Maximum des Warenbestandes (unitsinstock)
# aus der Tabelle products mit dem temporären Namen 'Maximum' ausgibt.
SELECT MAX(products.UnitsInStock) AS 'Maximum'
FROM products;
# 3. Schreiben Sie eine Abfrage, die Ihnen den Durchschnitt des Warenbestandes (unitsinstock)
# aus der Tabelle products mit dem temporären Namen 'Durchschnitt' ausgibt.
SELECT AVG(products.UnitsInStock) AS 'Maximum'
FROM products;
# 4. Schreiben Sie eine Abfrage, die Ihnen die Anzahl der Zeilen der Spalte Warenbestand (unitsinstock)
# aus der Tabelle products mit dem temporären Namen 'Anzahl' ausgibt.
SELECT Count(products.UnitsInStock) AS 'Anzahl'
FROM products;
# 5. Schreiben Sie eine Abfrage, die Ihnen die Summe des Warenbestandes (unitsinstock)
# aus der Tabelle pro-ducts mit dem temporären Namen 'Summe_Warenbe-stand' ausgibt.
SELECT SUM(products.UnitsInStock) AS 'Summe_Warenbestand'
FROM products;
|
DROP TABLE IF EXISTS `brDamageComposition`;
CREATE TABLE `brDamageComposition` (
`brDamageCompositionID` int(11) unsigned NOT NULL AUTO_INCREMENT,
`brReceivingCombatantID` int(11) NOT NULL DEFAULT '0',
`brDealingCombatantID` int(11) NOT NULL DEFAULT '0',
`brDamageDealt` int(11) NOT NULL DEFAULT '0',
PRIMARY KEY (`brDamageCompositionID`),
KEY `brDamageComposition_IX_brReceivingCombatantID` (`brReceivingCombatantID`),
KEY `brDamageComposition_IX_brDealingCombatantID` (`brDealingCombatantID`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
|
-- phpMyAdmin SQL Dump
-- version 4.2.12deb2+deb8u1
-- http://www.phpmyadmin.net
--
-- Host: localhost
-- Generation Time: Jun 21, 2017 at 11:27 PM
-- Server version: 5.5.44-0+deb8u1
-- PHP Version: 5.6.22-0+deb8u1
SET SQL_MODE = "NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
--
-- Database: `taskbo-rd`
--
-- --------------------------------------------------------
--
-- Table structure for table `checks`
--
CREATE TABLE IF NOT EXISTS `checks` (
`issueUID` int(11) NOT NULL,
`name` varchar(1024) COLLATE utf8_bin NOT NULL,
`isFinished` tinyint(1) NOT NULL DEFAULT '0',
`checkUID` int(11) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT=84 DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
--
-- Dumping data for table `checks`
--
INSERT INTO `checks` (`issueUID`, `name`, `isFinished`, `checkUID`) VALUES
(301, 'Солети', 1, 2),
(301, 'Бисквити', 1, 3),
(301, 'Сол', 1, 23),
(301, 'Лук', 0, 24),
(301, 'Сирене', 0, 25),
(301, 'Кашкавал', 1, 27),
(301, 'домати', 1, 28);
-- --------------------------------------------------------
--
-- Table structure for table `groups`
--
CREATE TABLE IF NOT EXISTS `groups` (
`UID` int(11) NOT NULL,
`name` varchar(256) COLLATE utf8_bin NOT NULL,
`description` varchar(1024) COLLATE utf8_bin NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT=124 DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
--
-- Dumping data for table `groups`
--
INSERT INTO `groups` (`UID`, `name`, `description`) VALUES
(100, 'sdada', 'asdasda'),
(101, 'пазарски списъци', 'разни пазърлъци а-у'),
(121, 'За колата', 'Неща по колата'),
(123, 'Лични работи', 'мои си неща');
-- --------------------------------------------------------
--
-- Table structure for table `groupusers`
--
CREATE TABLE IF NOT EXISTS `groupusers` (
`userUID` varchar(32) COLLATE utf8_bin NOT NULL,
`groupUID` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
--
-- Dumping data for table `groupusers`
--
INSERT INTO `groupusers` (`userUID`, `groupUID`) VALUES
('admin', 100),
('admin', 101),
('admin', 123),
('test', 101),
('yordanmilkov', 100),
('yordanmilkov', 101),
('yordanmilkov', 121);
-- --------------------------------------------------------
--
-- Table structure for table `issues`
--
CREATE TABLE IF NOT EXISTS `issues` (
`issueUID` int(11) NOT NULL,
`name` varchar(256) COLLATE utf8_bin NOT NULL,
`description` varchar(1024) COLLATE utf8_bin NOT NULL,
`users` varchar(1024) COLLATE utf8_bin NOT NULL DEFAULT ',',
`groupUID` int(11) NOT NULL,
`isResolved` tinyint(1) NOT NULL DEFAULT '0'
) ENGINE=InnoDB AUTO_INCREMENT=318 DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
--
-- Dumping data for table `issues`
--
INSERT INTO `issues` (`issueUID`, `name`, `description`, `users`, `groupUID`, `isResolved`) VALUES
(300, 'Домашни задължения', 'Да не се пропуска', '', 100, 1),
(301, 'Пазарски списък', 'Нещата, които трябва да се купят', 'yordanmilkov,test,', 101, 0);
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE IF NOT EXISTS `users` (
`UID` varchar(32) COLLATE utf8_bin NOT NULL,
`mail` varchar(128) COLLATE utf8_bin NOT NULL,
`GSM` varchar(16) COLLATE utf8_bin NOT NULL,
`password` varchar(32) COLLATE utf8_bin NOT NULL,
`name` varchar(32) COLLATE utf8_bin NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin;
--
-- Dumping data for table `users`
--
INSERT INTO `users` (`UID`, `mail`, `GSM`, `password`, `name`) VALUES
('admin', 'adminadmin', '000000000', '1234567890', 'Администратор'),
('test', 'test', 'test', 'test', 'Тестови акаунт'),
('yordanmilkov', 'yordan_milkov@abv.bg', '0897380260', '789456', 'Йордан');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `checks`
--
ALTER TABLE `checks`
ADD PRIMARY KEY (`checkUID`);
--
-- Indexes for table `groups`
--
ALTER TABLE `groups`
ADD PRIMARY KEY (`UID`);
--
-- Indexes for table `groupusers`
--
ALTER TABLE `groupusers`
ADD PRIMARY KEY (`userUID`,`groupUID`);
--
-- Indexes for table `issues`
--
ALTER TABLE `issues`
ADD PRIMARY KEY (`issueUID`);
--
-- Indexes for table `users`
--
ALTER TABLE `users`
ADD PRIMARY KEY (`UID`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `checks`
--
ALTER TABLE `checks`
MODIFY `checkUID` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=84;
--
-- AUTO_INCREMENT for table `groups`
--
ALTER TABLE `groups`
MODIFY `UID` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=124;
--
-- AUTO_INCREMENT for table `issues`
--
ALTER TABLE `issues`
MODIFY `issueUID` int(11) NOT NULL AUTO_INCREMENT,AUTO_INCREMENT=318;
/*!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 */;
|
/* Data validation
https://www.youtube.com/watch?v=qfyynHBFOsM
data from https://ourworldindata.org/covid-deaths4
https://github.com/owid/covid-19-data/tree/master/public/data
cite:
Hannah Ritchie, Esteban Ortiz-Ospina, Diana Beltekian, Edouard Mathieu, Joe Hasell, Bobbie Macdonald, Charlie Giattino, Cameron Appel, Lucas Rodés-Guirao and Max Roser (2020) - "Coronavirus Pandemic (COVID-19)". Published online at OurWorldInData.org. Retrieved from: 'https://ourworldindata.org/coronavirus' [Online Resource]
data source type: .csv
date range: 1/1/20 - 7/31/21
data fields:
quotes:
Q: Why is data on testing important? No country knows the total number of people infected with COVID-19. All we know is the infection status of those who have been tested. All those who have a lab-confirmed infection are counted as confirmed cases. This means that the counts of confirmed cases depend on how much a country actually tests. Without testing there is no data.
Testing is our window onto the pandemic and how it is spreading. Without data on who is infected by the virus we have no way of understanding the pandemic. Without this data we cannot know which countries are doing well, and which are just underreporting cases and deaths. To interpret any data on confirmed cases we need to know how much testing for COVID-19 each country actually does.
field name - data type
----------------------
iso_code - varchar(50)
continent - varchar(50)
location - varchar(50)
date - date
population - float
total_cases - float
new_cases - float
new_cases_smoothed - float
total_deaths - float
new_deaths - float
new_deaths_smoothed - float
total_cases_per_million - float
new_cases_per_million - float
new_cases_smoothed_per_million - float
total_deaths_per_million - float
new_deaths_per_million - float
new_deaths_smoothed_per_million - float
reproduction_rate - float
icu_patients - float
icu_patients_per_million - float
hosp_patients - float
hosp_patients_per_million - float
weekly_icu_admissions - float
weekly_icu_admissions_per_million - float
weekly_hosp_admissions - float
weekly_hosp_admissions_per_million - float
new_tests - float
total_tests - float
total_tests_per_thousand - float
new_tests_per_thousand - float
new_tests_smoothed - float
new_tests_smoothed_per_thousand - float
positive_rate - float
tests_per_case - float
tests_units - varchar(50)
total_vaccinations - float
people_vaccinated - float
people_fully_vaccinated - float
new_vaccinations - float
new_vaccinations_smoothed - float
total_vaccinations_per_hundred - float
people_vaccinated_per_hundred - float
people_fully_vaccinated_per_hundred - float
new_vaccinations_smoothed_per_million - float
stringency_index - float
population_density - float
median_age - float
aged_65_older - float
aged_70_older - float
gdp_per_capita - float
extreme_poverty - float
cardiovasc_death_rate - float
diabetes_prevalence - float
female_smokers - float
male_smokers - float
handwashing_facilities - float
hospital_beds_per_thousand - float
life_expectancy - float
human_development_index - float
excess_mortality - float
Excel source file handling - confirm figures as numeric
Break data set into 2 files deaths/vaccinations
SQL - import to 2 tables as types string, date and float
Join 2 tables on date
*/
------------------------------------------------------------------------------------------------------
-- Looking at Total Cases vs Total Deaths
--Select cd.location
-- ,cd.continent
-- ,cd.date
-- ,cast(total_cases as int) as total_cases
-- ,total_deaths
-- ,total_deaths/NULLIF(total_cases,0)*100 as death_percentage
--FROM covid_deaths as CD
--Inner Join covid_vaccinations CV on CD.date = CV.date
--WHERE
--cd.location like '%states%' AND
--cd.continent > '0'
------------------------------------------------------------------------------------------------------
-- Looking at Countries with highest infection rate compared to population
--Select
-- cd.Location
-- ,cast(cd.population as decimal) as Population
-- ,MAX(cd.total_cases) as HighestInfectionCount
-- ,cd.total_cases/NULLIF(cd.population, 0)*100 as PercentPopulationInfected
--FROM covid_deaths as CD
--Inner Join covid_vaccinations CV on CD.date = CV.date
----WHERE cd.location like '%states%'
----AND continent > '0'
--Group by population, total_cases, cd.location
--Order by PercentPopulationInfected desc
------------------------------------------------------------------------------------------------------
-- Looking at Total Cases vs Population, % of population that caught covid
--Select
-- Location
-- ,Date
-- ,cast(population as integer) as Population
-- ,cast(total_cases as integer) as Total_Cases
-- ,cast(total_cases/NULLIF(cd.population, 0)*100 as decimal(18, 2)) as PercentPopulationInfected
--FROM covid_deaths as CD
--WHERE cd.location like '%states%'
--AND continent continent > '0'
----Order by PercentPopulationInfected desc
------------------------------------------------------------------------------------------------------
--Looking at Countries with Highest Infection Rate compared to population
--Select
-- Location
-- ,Population
-- ,Max(total_cases) as HighestInfectionCount
-- ,Max((total_cases/Nullif(population, 0))*100) as PercentPopulationInfected
--FROM covid_deaths as CD
--WHERE
----cd.location like '%states%'
----AND
--continent > '0'
--Group by Location, Population
--Order by PercentPopulationInfected desc
------------------------------------------------------------------------------------------------------
--Looking at Countries with Highest Death Counts per Population
--Select Location
-- ,Max(cast(cd.total_deaths as int)) as TotalDeathCount
--FROM covid_deaths as CD
--Where Continent > '0'
--Group by location
--Order by TotalDeathCount desc
------------------------------------------------------------------------------------------------------
--Looking at Continents with Highest Death Counts per Population (North America is only US)
--Select location
-- ,Max(cast(cd.total_deaths as int)) as TotalDeathCount
--FROM covid_deaths as CD
--Where Continent < '1'
--Group by location
--Order by TotalDeathCount desc
------------------------------------------------------------------------------------------------------
--Add
Select cd.location
,Max(cast(cd.total_deaths as int)) as TotalDeathCount, cast (avg(female_smokers) as decimal) as 'life expectancy'
FROM covid_deaths as CD
Inner Join covid_vaccinations CV on CD.date = CV.date
Where cd.Continent < '1'
Group by cd.location, life_expectancy
Order by TotalDeathCount desc
------------------------------------------------------------------------------------------------------
--Looking at Global Numbers
--Select
-- Date
-- ,Sum(cast(new_cases as int)) as TotalCases
-- ,Sum(cast(new_deaths as int)) as TotalDeaths
-- ,Sum(new_deaths/NULLIF(new_cases,0)/1000) as DeathPercentage
--FROM covid_deaths as CD
--Where Continent > '0'
--Group by Date
--Order by Date
------------------------------------------------------------------------------------------------------
--Looking at Global Numbers
--Select
-- Sum(cast(new_cases as float)) as TotalCases
-- ,Sum(cast(new_deaths as float)) as TotalDeaths
-- ,Sum(cast(new_deaths as float)/NULLIF(new_cases,0)/1000) as DeathPercentage
--FROM covid_deaths as CD
--Where Continent > '0'
------------------------------------------------------------------------------------------------------
-- Looking at Rolling People Vaccinated by Country and Population
--Select
-- cd.Continent
-- ,cd.Location
-- ,cd.Date
-- ,Convert(int, cd.population) as Population
-- ,cv.New_Vaccinations
-- ,Sum(cv.new_vaccinations) OVER (Partition by cd.Location Order by cd.location, cd.date) as RollingPeopleVaccinated
--FROM covid_deaths as CD
--Inner Join covid_vaccinations CV on CD.date = CV.date and cd.location = cv.location
--WHERE
--cd.location like '%albania%' AND
--cd.continent > '0'
------------------------------------------------------------------------------------------------------
--Use CTE
--With Popsvac (Continent, Location, Date, Population, New_Vaccinations, RollingPeopleVaccinated)
--as
--(
--Select
-- cd.Continent
-- ,cd.Location
-- ,cd.Date
-- ,Convert(int, cd.population) as Population
-- ,cv.New_Vaccinations
-- ,Sum(cv.new_vaccinations) OVER (Partition by cd.Location Order by cd.location, cd.date) as RollingPeopleVaccinated
--FROM covid_deaths cd
--Inner Join covid_vaccinations cv on cd.date = cv.date and cd.location = cv.location
--WHERE
----cd.location like '%states%' AND
--cd.continent > '0')
--Select *, (RollingPeopleVaccinated/NULLIF(Population, 0))/1000 as '% of Country Population Vaccinated'
--From Popsvac
------------------------------------------------------------------------------------------------------
-- Looking at total Population vs Vaccinations
--Select
-- cd.Continent
-- ,cd.Location
-- ,cd.Date
-- ,Convert(int, cd.population) as Population
-- ,cv.New_Vaccinations
-- ,Sum(cv.new_vaccinations) OVER (Partition by cd.Location Order by cd.location, cd.date) as RollingPeopleVaccinated
--FROM covid_deaths CD
--Join covid_vaccinations CV
-- On CD.date = CV.date
-- And cd.location = cv.location
--WHERE cd.continent > '0'
------------------------------------------------------------------------------------------------------
/* Temp Table - PercentPoulationVaccinated */
--DROP TABLE #PercentPopulationVaccinated
--CREATE TABLE #PercentPopulationVaccinated
--(
--Continent nvarchar(255),
--Location nvarchar(255),
--Date datetime,
--Population numeric,
--New_Vaccinations numeric,
--RollingPeopleVaccinated numeric
--)
--Insert into #PercentPopulationVaccinated
--Select
-- cd.Continent
-- ,cd.Location
-- ,cd.Date
-- ,cd.Population
-- ,cv.New_Vaccinations
-- ,Sum(convert(int,cv.New_Vaccinations))
-- OVER (Partition by cd.Location Order by cd.location, cd.date) as RollingPeopleVaccinated
-- From covid_deaths cd
-- Join covid_vaccinations cv
-- On cd.location = cv.location
-- And cd.date = cv.date
-- Where cd.continent > '0'
-- Select *, (RollingPeopleVaccinated/NULLIF(Population, 0))/1000 From #PercentPopulationVaccinated
------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------
/* Creating Views to store data for later visualizations */
------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------
--Create View PercentPopulationVaccinated as
--Select
-- cd.Continent
-- ,cd.Location
-- ,cd.Date
-- ,Convert(int, cd.population) as Population
-- ,cv.New_Vaccinations
-- ,Sum(cv.new_vaccinations) OVER (Partition by cd.Location Order by cd.location, cd.date) as RollingPeopleVaccinated
--FROM covid_deaths CD
--Join covid_vaccinations CV
-- On CD.date = CV.date
-- And cd.location = cv.location
--WHERE cd.continent > '0'
------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------
--Create View PercentPopulationDeaths as
--Select cd.location
-- ,cd.continent
-- ,cd.date
-- ,cast(total_cases as int) as total_cases
-- ,total_deaths
-- ,total_deaths/NULLIF(total_cases,0)*100 as death_percentage
--FROM covid_deaths as CD
--Inner Join covid_vaccinations CV on CD.date = CV.date
--WHERE
--cd.location like '%states%' AND
--cd.continent > '0'
------------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------------
--Create View PercentPopulationInfected as
--Select
-- cd.date
-- ,cd.Location
-- ,Cast(cd.population as decimal) as Population
-- ,Max(cd.total_cases) as HighestInfectionCount
-- ,Cast(cd.total_cases as numeric)/NULLIF(cast(cd.population as numeric), 0)*100 as PercentPopulationInfected
--FROM covid_deaths as CD
--Inner Join covid_vaccinations CV on CD.date = CV.date
--WHERE cd.continent > '0'
--AND cd.location like '%states%'
--Group by cd.location, cd.date, cd.population, cd.total_cases
----Order by cd.location, cd.date
|
-- run pgadmin and execute this script using f8
-- text output will be script to create all views
-- run this output at 10.0.0.10 using psql -d myDataBase -a -f outputOfThisFile
-- select '-- ' || repeat('--',30) || E'\n' || 'CREATE OR REPLACE VIEW ' || table_name || ' AS ' || E'\n' || view_definition || E'\n' ||
-- ' ALTER TABLE ' || table_name || ' OWNER TO postgres;' || E'\n' ||
-- ' GRANT ALL ON ' || table_name || ' TO postgres;' || E'\n' ||
-- ' GRANT SELECT ON ' || table_name || ' TO joomla;' || E'\n'
-- from INFORMATION_SCHEMA.views where table_name like 'view_cjpl%';
SELECT '-- ' || repeat('--',30) || E'\n' || 'CREATE OR REPLACE VIEW ' || table_name || ' AS ' || E'\n' || view_definition || E'\n' ||
' ALTER TABLE ' || table_name || ' OWNER TO postgres;' || E'\n' ||
' GRANT ALL ON ' || table_name || ' TO postgres;' || E'\n' ||
' GRANT SELECT ON ' || table_name || ' TO joomla;' || E'\n'
FROM information_schema.views
JOIN non_odoo.view_sort_order
ON table_name = non_odoo.view_sort_order.NAME
WHERE table_name LIKE 'view_cjpl%'
ORDER BY non_odoo.view_sort_order.sort_order,
table_name; |
-- +goose Up
-- +goose StatementBegin
create table store(
key varchar (255) primary key,
value bytea
);
-- +goose StatementEnd
-- +goose Down
-- +goose StatementBegin
drop table store;
-- +goose StatementEnd
|
-- phpMyAdmin SQL Dump
-- version 3.4.5
-- http://www.phpmyadmin.net
--
-- Client: 127.0.0.1
-- Généré le : Lun 10 Décembre 2012 à 23:58
-- Version du serveur: 5.5.16
-- Version de PHP: 5.3.9
SET SQL_MODE="NO_AUTO_VALUE_ON_ZERO";
SET time_zone = "+00:00";
/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
/*!40101 SET NAMES utf8 */;
--
-- Base de données: `comparo`
--
-- --------------------------------------------------------
--
-- Structure de la table `commentaires`
--
CREATE TABLE IF NOT EXISTS `commentaires` (
`comparo` varchar(10) NOT NULL,
`index` int(11) NOT NULL,
`text` tinytext NOT NULL,
`heure` datetime NOT NULL,
PRIMARY KEY (`comparo`,`index`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Structure de la table `compare`
--
CREATE TABLE IF NOT EXISTS `compare` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`idnonrelu` varchar(10) NOT NULL,
`idrelu` varchar(10) NOT NULL,
`idvo` varchar(10) NOT NULL,
`idsc` varchar(10) NOT NULL,
`file` varchar(10) NOT NULL,
`charset` tinyint(4) NOT NULL DEFAULT '0',
`keep` enum('1','0') NOT NULL DEFAULT '0',
`tags` enum('1','0') NOT NULL DEFAULT '1',
`highTolerance` enum('0','1') NOT NULL DEFAULT '0',
`stats_total` tinyint(4) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 AUTO_INCREMENT=1 ;
-- --------------------------------------------------------
--
-- Structure de la table `comparos`
--
CREATE TABLE IF NOT EXISTS `comparos` (
`id` varchar(10) NOT NULL,
`comparatif` int(11) NOT NULL,
`nom_st1` varchar(128) NOT NULL,
`nom_st2` varchar(128) NOT NULL,
`nom_vo` varchar(128) NOT NULL,
`nom_sc` varchar(128) NOT NULL,
`created` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`last_view` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`code` varchar(10) NOT NULL,
`discuss` enum('1','0') NOT NULL DEFAULT '1',
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Structure de la table `discuss`
--
CREATE TABLE IF NOT EXISTS `discuss` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`comparo` varchar(10) NOT NULL,
`pseudo` varchar(32) NOT NULL,
`value` varchar(256) NOT NULL,
`ind` int(11) NOT NULL,
`heure` datetime NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 AUTO_INCREMENT=1 ;
-- --------------------------------------------------------
--
-- Structure de la table `dispatch`
--
CREATE TABLE IF NOT EXISTS `dispatch` (
`userid` int(11) NOT NULL,
`subid` int(11) NOT NULL,
`index` tinyint(4) NOT NULL,
`from` tinyint(4) NOT NULL,
`to` tinyint(4) NOT NULL,
`step` tinyint(4) NOT NULL,
PRIMARY KEY (`userid`,`subid`,`index`,`step`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Structure de la table `erreurs`
--
CREATE TABLE IF NOT EXISTS `erreurs` (
`error` varchar(10) NOT NULL,
`heure` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00'
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Structure de la table `files`
--
CREATE TABLE IF NOT EXISTS `files` (
`id` varchar(10) NOT NULL,
`sha1` varchar(40) NOT NULL,
`size` int(11) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Structure de la table `groups`
--
CREATE TABLE IF NOT EXISTS `groups` (
`id` varchar(10) NOT NULL,
`name` varchar(128) NOT NULL,
`public_key` varchar(10) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Structure de la table `groups_comparos`
--
CREATE TABLE IF NOT EXISTS `groups_comparos` (
`group` varchar(10) NOT NULL,
`comparo` varchar(10) NOT NULL,
`added` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
`nom` varchar(128) NOT NULL,
PRIMARY KEY (`group`,`comparo`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Structure de la table `modified_lines`
--
CREATE TABLE IF NOT EXISTS `modified_lines` (
`comparoid` varchar(10) NOT NULL,
`idline` mediumint(9) NOT NULL,
`value` text NOT NULL,
PRIMARY KEY (`comparoid`,`idline`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Structure de la table `posts`
--
CREATE TABLE IF NOT EXISTS `posts` (
`postid` int(11) NOT NULL AUTO_INCREMENT,
`subid` int(11) NOT NULL,
`userid` int(11) NOT NULL,
`post_time` timestamp NOT NULL DEFAULT '0000-00-00 00:00:00',
`post_text` text NOT NULL,
PRIMARY KEY (`postid`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 AUTO_INCREMENT=1 ;
-- --------------------------------------------------------
--
-- Structure de la table `stats`
--
CREATE TABLE IF NOT EXISTS `stats` (
`text` varchar(512) NOT NULL,
`count` tinyint(4) NOT NULL,
PRIMARY KEY (`text`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Structure de la table `subtitles`
--
CREATE TABLE IF NOT EXISTS `subtitles` (
`subid` int(11) NOT NULL AUTO_INCREMENT,
`teamid` int(11) NOT NULL,
`episode` smallint(6) NOT NULL,
`saison` smallint(6) NOT NULL,
`episodename` varchar(128) NOT NULL,
`status` enum('0','1') NOT NULL DEFAULT '1',
`created` datetime NOT NULL,
PRIMARY KEY (`subid`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 AUTO_INCREMENT=1 ;
-- --------------------------------------------------------
--
-- Structure de la table `teams`
--
CREATE TABLE IF NOT EXISTS `teams` (
`teamid` int(3) NOT NULL AUTO_INCREMENT,
`userid` int(3) NOT NULL,
`name` varchar(128) NOT NULL,
PRIMARY KEY (`teamid`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 AUTO_INCREMENT=1 ;
-- --------------------------------------------------------
--
-- Structure de la table `teams_steps`
--
CREATE TABLE IF NOT EXISTS `teams_steps` (
`teamid` int(3) NOT NULL,
`index` int(1) NOT NULL,
`name` varchar(64) NOT NULL,
`color` varchar(7) NOT NULL,
PRIMARY KEY (`teamid`,`index`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Structure de la table `userkeys`
--
CREATE TABLE IF NOT EXISTS `userkeys` (
`public` varchar(10) NOT NULL,
`private` varchar(16) NOT NULL,
PRIMARY KEY (`public`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
-- --------------------------------------------------------
--
-- Structure de la table `users`
--
CREATE TABLE IF NOT EXISTS `users` (
`uid` int(4) NOT NULL AUTO_INCREMENT,
`username` varchar(128) NOT NULL,
`password` varchar(40) NOT NULL,
`email` varchar(128) NOT NULL,
PRIMARY KEY (`uid`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 AUTO_INCREMENT=1 ;
-- --------------------------------------------------------
--
-- Structure de la table `users_teams`
--
CREATE TABLE IF NOT EXISTS `users_teams` (
`teamid` int(3) NOT NULL,
`userid` int(3) NOT NULL,
`status` enum('0','1') NOT NULL,
PRIMARY KEY (`teamid`,`userid`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
/*!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 yourcad;
USE yourcad;
CREATE TABLE concessionaria (
concessionaria_id int(11) AUTO_INCREMENT,
concessionaria_cnpj VARCHAR(20),
concessionaria_nome VARCHAR(80),
concessionaria_inscricao_estadual VARCHAR(20),
concessionaria_endereco VARCHAR(40),
concessionaria_bairro VARCHAR(40),
concessionaria_numero_endereco INT(8),
concessionaria_complemento_endereco VARCHAR(50),
concessionaria_cep VARCHAR(12),
concessionaria_cidade VARCHAR(30),
concessionaria_uf VARCHAR(20),
concessionaria_email VARCHAR(30),
concessionaria_site VARCHAR(30),
PRIMARY KEY(concessionaria_id)
);
INSERT INTO concessionaria (
concessionaria_cnpj,
concessionaria_nome,
concessionaria_inscricao_estadual,
concessionaria_endereco,
concessionaria_bairro,
concessionaria_numero_endereco,
concessionaria_complemento_endereco,
concessionaria_cep,
concessionaria_cidade,
concessionaria_uf,
concessionaria_email,
concessionaria_site )
VALUES
("03.983.431/0001-03",
"EDP Distribuição de Energia",
"Isento",
"Rua Gomes de Carvalho",
"Jardim Prima velma",
"1996",
"8º Andar",
"04547-006",
"São Paulo",
"SP",
"ri@edpbr.com.br",
"www.edp.com.br");
CREATE TABLE cliente (
cliente_id int(11) AUTO_INCREMENT,
cliente_nome VARCHAR(100),
cliente_apelido VARCHAR(50),
cliente_documento VARCHAR(50),
cliente_endereco VARCHAR(150),
cliente_complemento_endereco VARCHAR(100),
cliente_numero_endereco VARCHAR(20),
cliente_bairro VARCHAR(100),
cliente_cep VARCHAR(20),
cliente_cidade VARCHAR(100),
cliente_uf VARCHAR(50),
PRIMARY KEY(cliente_id)
);
INSERT INTO cliente (
cliente_nome,
cliente_apelido,
cliente_documento,
cliente_endereco,
cliente_complemento_endereco,
cliente_numero_endereco,
cliente_bairro,
cliente_cep,
cliente_cidade,
cliente_uf
)
VALUES
("Mateus de Senne",
"Rogerinho",
"472.244.598-28",
"Rua Pedro Raxixe",
"Não possui",
"18004",
"Jd ReUnião",
"12658-32",
"São José dos Campos",
"São Paulo");
CREATE TABLE instalacao_agua (
instalacao_agua_id int(11) AUTO_INCREMENT,
instalacao_agua_cliente_id int(11),
instalacao_agua_numero VARCHAR(20),
instalacao_agua_apelido VARCHAR(30),
instalacao_agua_hidrometro VARCHAR(20),
instalacao_agua_cod_sabesp VARCHAR(40),
instalacao_agua_cod_cliente VARCHAR(30),
instalacao_agua_economias VARCHAR(255),
instalacao_agua_tipo_ligacao VARCHAR(50),
PRIMARY KEY(instalacao_agua_id)
);
INSERT INTO instalacao_agua (
instalacao_agua_cliente_id,
instalacao_agua_numero,
instalacao_agua_apelido,
instalacao_agua_hidrometro,
instalacao_agua_cod_sabesp,
instalacao_agua_cod_cliente,
instalacao_agua_economias,
instalacao_agua_tipo_ligacao)
VALUES
(1,
"07916690/33",
"Casa Senne",
"Y12T206163",
"04.645.48.02.3010.000.000.010.3",
"303112",
"1 RES + 0 COM + 0 IND + 0 PUB",
"AGUA E ESGOTO");
CREATE TABLE conta_agua (
conta_agua_id int(11) AUTO_INCREMENT,
conta_agua_instalacao_id int(11),
conta_agua_mes VARCHAR(10),
conta_agua_vencimento VARCHAR(20),
conta_agua_data_anterior_leitura VARCHAR(20),
conta_agua_data_atual_leitura VARCHAR(20),
conta_agua_data_previsao_proxima_leitura VARCHAR(20),
conta_agua_valor_anterior VARCHAR(20),
conta_agua_valor_atual_leitura VARCHAR(20),
conta_agua_valor_agua VARCHAR(20),
conta_agua_valor_esgoto VARCHAR(20),
conta_agua_multa VARCHAR(20),
conta_agua_trcf VARCHAR(20),
conta_agua_base_pis_cofins VARCHAR(20),
conta_agua_aliquota_pis_cofins VARCHAR(20),
PRIMARY KEY(conta_agua_id)
);
INSERT INTO conta_agua (
conta_agua_instalacao_id,
conta_agua_mes,
conta_agua_vencimento,
conta_agua_data_anterior_leitura,
conta_agua_data_atual_leitura,
conta_agua_data_previsao_proxima_leitura,
conta_agua_valor_anterior,
conta_agua_valor_atual_leitura,
conta_agua_valor_agua,
conta_agua_valor_esgoto,
conta_agua_multa,
conta_agua_trcf,
conta_agua_base_pis_cofins,
conta_agua_aliquota_pis_cofins)
VALUES
(1,
"09",
"16/09/2020",
"01/08/2020",
"01/09/2020",
"01/10/2020",
"762",
"771",
"27,07",
"27,71",
"",
"0,24",
"48,34",
"6,56");
CREATE TABLE instalacao_energia (
instalacao_energia_id int(11) AUTO_INCREMENT,
instalacao_energia_cliente_id int(11),
instalacao_energia_numero VARCHAR(40),
instalacao_energia_apelido VARCHAR(30),
instalacao_energia_codigo_identificacao VARCHAR(30),
instalacao_energia_codigo_fiscal VARCHAR(30),
instalacao_energia_grupo VARCHAR(30),
instalacao_energia_subgrupo VARCHAR(30),
instalacao_energia_classe VARCHAR(30),
instalacao_energia_tipo_fornecimento VARCHAR(30),
instalacao_energia_modalidade_tarifaria VARCHAR(30),
instalacao_energia_tensao VARCHAR(30),
instalacao_energia_roteiro_leitura VARCHAR(30),
instalacao_energia_medidor VARCHAR(30),
PRIMARY KEY(instalacao_energia_id)
);
INSERT INTO instalacao_energia (
instalacao_energia_cliente_id,
instalacao_energia_numero,
instalacao_energia_apelido,
instalacao_energia_codigo_identificacao,
instalacao_energia_codigo_fiscal,
instalacao_energia_grupo,
instalacao_energia_subgrupo,
instalacao_energia_classe,
instalacao_energia_tipo_fornecimento,
instalacao_energia_modalidade_tarifaria,
instalacao_energia_tensao,
instalacao_energia_roteiro_leitura,
instalacao_energia_medidor)
VALUES
(1,
"1505199113",
"Casa Senne",
"94366802",
"5258",
"B",
"B1",
"Residencial",
"Bifasico",
"Convencional",
"220/127v",
"B06SJ20M00613",
"11149725");
CREATE TABLE conta_energia (
conta_energia_id INT(11) AUTO_INCREMENT,
conta_energia_instalacao_id int(11),
conta_energia_numero VARCHAR(20),
conta_energia_mes VARCHAR(20),
conta_energia_vencimento VARCHAR(20),
conta_energia_leitura_anterior VARCHAR(20),
conta_energia_leitura_atual VARCHAR(20),
conta_energia_previsao_proxima_leitura VARCHAR(20),
conta_energia_valor_anterior VARCHAR(20),
conta_energia_valor_atual VARCHAR(20),
conta_energia_const_mult VARCHAR(20),
PRIMARY KEY(conta_energia_id)
);
INSERT INTO conta_energia (
conta_energia_instalacao_id,
conta_energia_numero,
conta_energia_mes,
conta_energia_vencimento,
conta_energia_leitura_anterior,
conta_energia_leitura_atual,
conta_energia_previsao_proxima_leitura,
conta_energia_valor_anterior,
conta_energia_valor_atual,
conta_energia_const_mult)
VALUES
(1,
"1505199113",
"09",
"28/09/2020",
"12/08/2020",
"12/09/2020",
"14/10/2020",
"21.614",
"21.89",
"1,00000");
|
-- createuser.sql
--
-- Creates a DB user for quick testing
-- https://blogs.oracle.com/opal/writing-nodejs-apps-for-oracle-autonomous-json-database
define USERNAME = &1
-- Uncomment if you want to clean up a previous user
-- begin execute immediate 'drop user &USERNAME cascade'; exception when others then if sqlcode <> -1918 then raise; end if; end;
-- /
create user &USERNAME;
alter user &USERNAME
default tablespace data
temporary tablespace temp
account unlock
quota unlimited on data;
grant connect
, resource
to &USERNAME;
grant create session
, create table
, create procedure
, create sequence
, create trigger
, create view
, create synonym
, alter session
, create type
, soda_app
to &USERNAME;
password &USERNAME
|
-- phpMyAdmin SQL Dump
-- version 5.0.3
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Dec 21, 2020 at 10:31 AM
-- Server version: 10.4.14-MariaDB
-- PHP Version: 7.3.23
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: `project`
--
DELIMITER $$
--
-- Procedures
--
CREATE DEFINER=`root`@`localhost` PROCEDURE `leaderboard` () NO SQL
select q.quizname,s.score,s.totalscore,st.name,s.mail from score s,student st,quiz q where s.mail=st.mail and q.quizid=s.quizid order by score DESC$$
DELIMITER ;
-- --------------------------------------------------------
--
-- Table structure for table `dept`
--
CREATE TABLE `dept` (
`dept_id` int(11) NOT NULL,
`dept_name` varchar(3) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `dept`
--
INSERT INTO `dept` (`dept_id`, `dept_name`) VALUES
(1, 'CSE'),
(2, 'ISE'),
(3, 'ECE'),
(4, 'EEE');
-- --------------------------------------------------------
--
-- Table structure for table `questions`
--
CREATE TABLE `questions` (
`qs` varchar(200) NOT NULL,
`op1` varchar(30) NOT NULL,
`op2` varchar(30) NOT NULL,
`op3` varchar(30) NOT NULL,
`answer` varchar(30) NOT NULL,
`quizid` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `questions`
--
INSERT INTO `questions` (`qs`, `op1`, `op2`, `op3`, `answer`, `quizid`) VALUES
(' What is the output of the following program? #include<iostream> using namespace std; void f() { cout<<\"Hello\"<<endl; } main() { }', ' Error, as the main() function', ' Error, as the function is not', 'Error, as the function is defi', ' No output', 9),
(' Which of the following magic constant of PHP returns current line number of the file?', '_LINE_', '_FILE_', '_FUNCTION_', '_CLASS_', 7),
('A single line comment in C++ language source code can begin with', ';', ':', '/*', '//', 9),
('How many number of arguments can a destructor of a class receives?', 'A - 0', 'B - 1', 'C - 2', 'D - None of the above.', 9),
('One of the following is true for an inline function.', 'A - It executes faster as it i', 'B - It executes faster because', 'C - It doesn’t executes faster', 'D - None of the above holds tr', 9),
('What is the output of the following program? #include<iostream> using namespace std; main() { int a[] = {10, 20, 30}; cout<<*a+1; }', '10', '20', '21', '11', 9),
('Which of the following array represents an array with a numeric index?', 'Numeric Array', 'Associative Array', 'MultiDimensional Array', 'None of the Above', 7);
-- --------------------------------------------------------
--
-- Table structure for table `quiz`
--
CREATE TABLE `quiz` (
`quizid` int(11) NOT NULL,
`quizname` varchar(20) NOT NULL,
`date_created` timestamp NOT NULL DEFAULT current_timestamp(),
`mail` varchar(30) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `quiz`
--
INSERT INTO `quiz` (`quizid`, `quizname`, `date_created`, `mail`) VALUES
(7, 'php', '2020-12-20 10:47:09', 'rajmishu873@gmail.com'),
(9, 'cpp', '2020-12-21 09:21:20', 'nancy21@gmail.com');
--
-- Triggers `quiz`
--
DELIMITER $$
CREATE TRIGGER `ondeleteqs` AFTER DELETE ON `quiz` FOR EACH ROW delete from questions where questions.quizid=old.quizid
$$
DELIMITER ;
-- --------------------------------------------------------
--
-- Table structure for table `score`
--
CREATE TABLE `score` (
`slno` int(11) NOT NULL,
`score` int(11) NOT NULL,
`quizid` int(11) NOT NULL,
`mail` varchar(30) DEFAULT NULL,
`totalscore` int(11) DEFAULT NULL,
`remark` varchar(20) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `score`
--
INSERT INTO `score` (`slno`, `score`, `quizid`, `mail`, `totalscore`, `remark`) VALUES
(20, 2, 7, 'abhinand@gmail.com', 2, 'good'),
(21, 2, 7, 'shubham99@gmail.com', 2, 'good'),
(23, 2, 7, 'shreyash99@gmail.com', 2, 'good'),
(24, 3, 9, 'shreyash99@gmail.com', 5, 'good'),
(25, 2, 9, 'abhinand@gmail.com', 5, 'good');
--
-- Triggers `score`
--
DELIMITER $$
CREATE TRIGGER `remarks` BEFORE INSERT ON `score` FOR EACH ROW set NEW.remark = if(NEW.score = 0, 'bad', 'good')
$$
DELIMITER ;
-- --------------------------------------------------------
--
-- Table structure for table `staff`
--
CREATE TABLE `staff` (
`staffid` varchar(10) NOT NULL,
`name` varchar(20) NOT NULL,
`mail` varchar(30) NOT NULL,
`phno` varchar(10) NOT NULL,
`gender` varchar(1) NOT NULL,
`DOB` varchar(10) NOT NULL,
`pw` varchar(200) NOT NULL,
`dept` varchar(3) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `staff`
--
INSERT INTO `staff` (`staffid`, `name`, `mail`, `phno`, `gender`, `DOB`, `pw`, `dept`) VALUES
('1pe17cs011', 'Nancy', 'nancy21@gmail.com', '6793742737', 'F', '1999-01-01', 'ramssOlhry0yQ', 'CSE'),
('1pe17is047', 'Mishika', 'rajmishu873@gmail.com', '9916913580', 'F', '1999-03-11', 'ravpjTO2uTF/E', 'ISE');
-- --------------------------------------------------------
--
-- Table structure for table `student`
--
CREATE TABLE `student` (
`usn` varchar(10) NOT NULL,
`name` varchar(20) NOT NULL,
`mail` varchar(30) NOT NULL,
`phno` varchar(10) NOT NULL,
`gender` varchar(1) NOT NULL,
`DOB` varchar(10) NOT NULL,
`pw` varchar(200) NOT NULL,
`dept` varchar(3) DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data for table `student`
--
INSERT INTO `student` (`usn`, `name`, `mail`, `phno`, `gender`, `DOB`, `pw`, `dept`) VALUES
('1pe17is002', 'Abhinand', 'abhinand@gmail.com', '9289234819', 'M', '1999-08-12', 'raKKr0N8Pp7n.', 'ISE'),
('1pe17ee047', 'Shreyash', 'shreyash99@gmail.com', '8325708235', 'M', '1999-08-13', 'raL2qfDXHq3FI', 'EEE'),
('1pe17ec011', 'Shubham', 'shubham99@gmail.com', '3624580352', 'M', '1999-12-12', 'ra3IPS/2AdZvc', 'ECE');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `dept`
--
ALTER TABLE `dept`
ADD PRIMARY KEY (`dept_id`);
--
-- Indexes for table `questions`
--
ALTER TABLE `questions`
ADD UNIQUE KEY `qs` (`qs`),
ADD KEY `quizid` (`quizid`),
ADD KEY `quizid_2` (`quizid`),
ADD KEY `quizid_3` (`quizid`);
--
-- Indexes for table `quiz`
--
ALTER TABLE `quiz`
ADD PRIMARY KEY (`quizid`),
ADD KEY `mail` (`mail`);
--
-- Indexes for table `score`
--
ALTER TABLE `score`
ADD PRIMARY KEY (`slno`),
ADD KEY `quizid` (`quizid`),
ADD KEY `mail` (`mail`);
--
-- Indexes for table `staff`
--
ALTER TABLE `staff`
ADD PRIMARY KEY (`mail`),
ADD UNIQUE KEY `mail` (`mail`,`phno`),
ADD UNIQUE KEY `staffid` (`staffid`);
--
-- Indexes for table `student`
--
ALTER TABLE `student`
ADD PRIMARY KEY (`mail`),
ADD UNIQUE KEY `mail` (`mail`),
ADD UNIQUE KEY `phno` (`phno`),
ADD UNIQUE KEY `usn` (`usn`),
ADD KEY `dept` (`dept`);
--
-- AUTO_INCREMENT for dumped tables
--
--
-- AUTO_INCREMENT for table `quiz`
--
ALTER TABLE `quiz`
MODIFY `quizid` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=10;
--
-- AUTO_INCREMENT for table `score`
--
ALTER TABLE `score`
MODIFY `slno` int(11) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=26;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `quiz`
--
ALTER TABLE `quiz`
ADD CONSTRAINT `quiz_ibfk_1` FOREIGN KEY (`mail`) REFERENCES `staff` (`mail`) ON DELETE CASCADE;
--
-- Constraints for table `score`
--
ALTER TABLE `score`
ADD CONSTRAINT `score_ibfk_1` FOREIGN KEY (`quizid`) REFERENCES `quiz` (`quizid`) ON DELETE CASCADE,
ADD CONSTRAINT `score_ibfk_2` FOREIGN KEY (`mail`) REFERENCES `student` (`mail`) 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 */;
|
SELECT
LEFT(rev_timestamp, 7) AS month,
template,
COUNT(*) AS postings
FROM staging.th_subst_template_additions
GROUP BY 1,2;
|
CREATE PROCEDURE sp_get_CatalogNotification(@FROMDATE DATETIME,
@TODATE DATETIME)
AS
SELECT * FROM CatalogNotification
WHERE ReceivedDate BETWEEN @FROMDATE AND @TODATE
ORDER BY CompanyID
|
Create Procedure mERP_SP_ListSchemeDetails(@SchemeID int,@GroupID Int) As
Begin
If @GroupID = -1
Begin
Select SlabType, Case SlabType When 1 Then 'Amount' When 2 Then 'Percentage' When 3 Then 'Free SKU' End as 'GivenAs',
Case IsNull(UOM,0) When 1 Then 'BUOM' When 2 Then 'UOM1' When 3 Then 'UOM2' When 4 Then 'Value' When 5 Then 'TLC' End as 'PrimaryUOM',
SlabStart, SlabEnd, IsNull(Onward,0) 'For Every', IsNull([Value],0) as 'Discount',
Case IsNull(FreeUOM,0) When 1 Then 'Base UOM' When 2 Then 'UOM1' When 3 Then 'UOM2' End as 'FreeUOM',
IsNull(Volume,0) 'Qty',dbo.mERP_fn_Get_FreeSKUList(slabID), IsNull(UOM,0)
From tbl_mERP_SchemeSlabDetail
Where SchemeID = @SchemeID
Order By SlabID
End
Else
Begin
Select SlabType, Case SlabType When 1 Then 'Amount' When 2 Then 'Percentage' When 3 Then 'Free SKU' End as 'GivenAs',
Case IsNull(UOM,0) When 1 Then 'BUOM' When 2 Then 'UOM1' When 3 Then 'UOM2' When 4 Then 'Value' When 5 Then 'TLC' End as 'PrimaryUOM',
SlabStart, SlabEnd, IsNull(Onward,0) 'For Every', IsNull([Value],0) as 'Discount',
Case IsNull(FreeUOM,0) When 1 Then 'Base UOM' When 2 Then 'UOM1' When 3 Then 'UOM2' End as 'FreeUOM',
IsNull(Volume,0) 'Qty',dbo.mERP_fn_Get_FreeSKUList(slabID), IsNull(UOM,0)
From tbl_mERP_SchemeSlabDetail
Where SchemeID = @SchemeID And GroupID = @GroupID
Order By SlabID
End
End
|
ALTER TABLE dancevideo ADD COLUMN dancemusic VARCHAR; |
CREATE TABLE [display].[kb_knowledge]
(
[author_display_value] NVARCHAR(255) NULL,
[sys_view_count_display_value] INT NULL,
[display_attachments_display_value] NVARCHAR(80) NULL,
[sys_created_on_display_value] DATETIME NULL,
[disable_suggesting_display_value] NVARCHAR(80) NULL,
[retired_display_value] NVARCHAR(80) NULL,
[workflow_state_display_value] NVARCHAR(80) NULL,
[description_display_value] NVARCHAR(80) NULL,
[sys_updated_by_display_value] NVARCHAR(80) NULL,
[sys_id_display_value] NVARCHAR(255) NULL,
[text_display_value] NVARCHAR(MAX) NULL,
[sys_domain_path_display_value] NVARCHAR(MAX) NULL,
[number_display_value] NVARCHAR(80) NULL,
[kb_category_display_value] NVARCHAR(255) NULL,
[sys_class_name_display_value] NVARCHAR(80) NULL,
[active_display_value] NVARCHAR(80) NULL,
[disable_commenting_display_value] NVARCHAR(80) NULL,
[category_display_value] NVARCHAR(MAX) NULL,
[published_display_value] NVARCHAR(80) NULL,
[sys_tags_display_value] NVARCHAR(80) NULL,
[article_type_display_value] NVARCHAR(80) NULL,
[direct_display_value] NVARCHAR(80) NULL,
[roles_display_value] NVARCHAR(80) NULL,
[kb_knowledge_base_display_value] NVARCHAR(80) NULL,
[sys_domain_display_value] NVARCHAR(80) NULL,
[sys_updated_on_display_value] DATETIME NULL,
[topic_display_value] NVARCHAR(80) NULL,
[short_description_display_value] NVARCHAR(500) NULL,
[image_display_value] NVARCHAR(255) NULL,
[cmdb_ci_display_value] NVARCHAR(500) NULL,
[use_count_display_value] INT NULL,
[sys_mod_count_display_value] NVARCHAR(80) NULL,
[sys_created_by_display_value] NVARCHAR(80) NULL,
[valid_to_display_value] NVARCHAR(80) NULL,
[wiki_display_value] NVARCHAR(80) NULL,
[flagged_display_value] NVARCHAR(80) NULL,
[meta_display_value] NVARCHAR(MAX) NULL,
[rating_display_value] NVARCHAR(80) NULL,
[source_display_value] NVARCHAR(80) NULL
)
|
INSERT INTO tennis.teams (teamnr, spelersnr, divisie) VALUES (1, 6, 'ere ');
INSERT INTO tennis.teams (teamnr, spelersnr, divisie) VALUES (2, 27, 'tweede'); |
UPDATE
titles
SET
seenid=seenid + 1
, seenall=seenall + 1
WHERE
id = ? |
DROP procedure IF EXISTS `bsp_buscar_producto`;
DELIMITER $$
CREATE PROCEDURE `bsp_buscar_producto`(pTextoBuscar varchar(30))
BEGIN
/*
Permite buscar los productos dados de alta que contengan una parte del nombre del producto
*/
SELECT prod.IdProducto,prod.Producto,prod.Precio,prod.Stock,prod.Observaciones,prod.EstadoProd,cat.Categoria,prov.Proveedor
FROM productos prod
LEFT JOIN proveedores prov on prod.IdProveedor = prov.IdProveedor
LEFT JOIN categorias cat on prod.IdCategoria = cat.IdCategoria
WHERE prod.Producto LIKE CONCAT('%',pTextoBuscar,'%') AND (prod.EstadoProd = 'A');
END$$
DELIMITER ; |
CREATE TABLE IF NOT EXISTS AIRPORTS
(
ID NUMBER(9),
IDENT VARCHAR(10),
AIRPORT_TYPE VARCHAR(100),
AIRPORT_NAME VARCHAR2(1000),
LATITUDE_DEG NUMBER(20, 10),
LONGITUDE_DEG NUMBER(20, 10),
ELEVATION_FT NUMBER(10, 2),
CONTINENT VARCHAR(10),
ISO_COUNTRY VARCHAR(10),
ISO_REGION VARCHAR(10),
MUNICIPALITY VARCHAR(100),
SCHEDULED_SERVICE VARCHAR(10),
GPS_CODE VARCHAR(10),
IATA_CODE VARCHAR(10),
LOCAL_CODE VARCHAR(10),
HOME_LINK VARCHAR(1000),
WIKIPEDIA_LINK VARCHAR(1000),
KEYWORDS VARCHAR(1000),
LAST_UPDATE TIMESTAMP
)
AS
SELECT CONVERT(ID,NUMBER) AS ID,
IDENT,
TYPE AS AIRPORT_TYPE,
NAME AS AIRPORT_NAME,
CONVERT(LATITUDE_DEG, NUMBER) AS LATITUDE_DEG,
CONVERT(LONGITUDE_DEG, NUMBER) AS LONGITUDE_DEG,
CONVERT(ELEVATION_FT, NUMBER) AS ELEVATION_FT,
CONTINENT,
ISO_COUNTRY,
ISO_REGION,
MUNICIPALITY,
SCHEDULED_SERVICE,
GPS_CODE,
IATA_CODE,
LOCAL_CODE,
HOME_LINK,
WIKIPEDIA_LINK,
KEYWORDS,
SYSDATE
FROM CSVREAD('classpath:/airports.csv', NULL, 'charset=UTF-8'); |
INSERT INTO books(author, title, size) VALUES ('Dostoevsky','Idiot', 350);
INSERT INTO books(author, title, size) VALUES ('Chekhov','Vishnevi sad', 250);
INSERT INTO books(author, title, size) VALUES ('Dostoevsky','Bratya Karamazovy', 450);
INSERT INTO books(author, title, size) VALUES ('Dostoevsky','Igrok', 270);
INSERT INTO books(author, title, size) VALUES ('Chekhov','Tri sestry', 150);
INSERT INTO books(author, title, size) VALUES ('Chekhov','Tchayka', 350);
INSERT INTO books(author, title, size) VALUES ('Dostoevsky','Prestuplenie i nakazanie', 270); |
SELECT COUNT(*) FROM `wizzard_deposits`;
SELECT MAX(`magic_wand_size`) FROM `wizzard_deposits`;
SELECT `deposit_group`,MAX(`magic_wand_size`) AS longest_magic_wand FROM `wizzard_deposits`
GROUP BY `deposit_group`
ORDER BY longest_magic_wand , `deposit_group`;
SELECT `deposit_group` FROM `wizzard_deposits`
GROUP BY `deposit_group`
ORDER BY avg(`magic_wand_size`) ASC
LIMIT 1;
SELECT `deposit_group` ,sum(`deposit_amount`) AS total_sum FROM `wizzard_deposits`
GROUP BY `deposit_group`
ORDER BY total_sum;
SELECT `deposit_group` ,sum(`deposit_amount`) AS total_sum FROM `wizzard_deposits`
WHERE `magic_wand_creator` = "Ollivander family"
GROUP BY `deposit_group`
ORDER BY `deposit_group`;
SELECT `deposit_group` ,sum(`deposit_amount`) AS total_sum FROM `wizzard_deposits`
WHERE `magic_wand_creator` = "Ollivander family"
GROUP BY `deposit_group`
HAVING total_sum < 150000
ORDER BY total_sum DESC;
SELECT `deposit_group`,`magic_wand_creator`, min(`deposit_charge`) AS min_deposit_charge FROM `wizzard_deposits`
GROUP BY `deposit_group`,`magic_wand_creator`
ORDER BY `magic_wand_creator`,`deposit_group`;
SELECT (
CASE
WHEN `age` BETWEEN 0 AND 10 THEN '[0-10]'
WHEN `age` BETWEEN 11 AND 20 THEN '[11-20]'
WHEN `age` BETWEEN 21 AND 30 THEN '[21-30]'
WHEN `age` BETWEEN 31 AND 40 THEN '[31-40]'
WHEN `age` BETWEEN 41 AND 50 THEN '[41-50]'
WHEN `age` BETWEEN 51 AND 60 THEN '[51-60]'
ELSE '[61+]'
END
)AS age_group,
COUNT(`id`) AS wizzard_count FROM `wizzard_deposits`
GROUP BY `age_group`
ORDER BY wizzard_count;
SELECT DISTINCT left(`first_name`,1) AS first_letter FROM `wizzard_deposits`
WHERE `deposit_group` = "Troll Chest"
ORDER BY first_letter;
SELECT `deposit_group`, `is_deposit_expired`,AVG(`deposit_interest`) AS average_interest FROM `wizzard_deposits`
WHERE `deposit_start_date` > '1985-01-01'
GROUP BY `deposit_group`,`is_deposit_expired`
ORDER BY `deposit_group` DESC, `is_deposit_expired`;
SELECT SUM(XX.DIFF)
FROM (SELECT deposit_amount - (SELECT deposit_amount FROM wizzard_deposits WHERE Id = g.Id + 1)
AS DIFF FROM wizzard_deposits AS g) AS XX;
SELECT `department_id`,min(`salary`) AS minimum_salary FROM `employees`
WHERE `department_id` IN(2,5,7) AND DATE(`hire_date`) > '2000-01-01'
GROUP BY `department_id`;
--------------------------------------------------------
CREATE TABLE `copy_table` SELECT * FROM `employees`
WHERE `salary` > 30000;
DELETE FROM `copy_table`
WHERE `manager_id` = 42;
UPDATE `copy_table` SET `salary` = `salary` + 5000
WHERE `department_id` = 1;
SELECT `department_id`, avg(`salary`) FROM `copy_table`
GROUP BY `department_id`
ORDER BY `department_id`;
------------------------------------------------
|
CREATE DATABASE nostaja;
CREATE USER nostalauser
WITH PASSWORD 'pass123';
GRANT ALL PRIVILEGES ON DATABASE nostaldja TO nostaljauser; |
SELECT SUBSTRING(FirstName, 1, 1) AS [FirstLetter]
FROM WizzardDeposits
GROUP BY SUBSTRING(FirstName, 1, 1), DepositGroup
HAVING DepositGroup = 'Troll Chest'
ORDER BY [FirstLetter] ASC
|
-- phpMyAdmin SQL Dump
-- version 4.8.2
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Waktu pembuatan: 21 Okt 2020 pada 10.38
-- Versi server: 10.1.34-MariaDB
-- Versi PHP: 7.2.8
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: `projectapi`
--
-- --------------------------------------------------------
--
-- Struktur dari tabel `pengguna`
--
CREATE TABLE `pengguna` (
`id` int(5) NOT NULL,
`nama` varchar(200) NOT NULL,
`sandi` varchar(200) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
--
-- Dumping data untuk tabel `pengguna`
--
INSERT INTO `pengguna` (`id`, `nama`, `sandi`) VALUES
(1, 'anggi', '12345');
--
-- Indexes for dumped tables
--
--
-- Indeks untuk tabel `pengguna`
--
ALTER TABLE `pengguna`
ADD PRIMARY KEY (`id`);
--
-- AUTO_INCREMENT untuk tabel yang dibuang
--
--
-- AUTO_INCREMENT untuk tabel `pengguna`
--
ALTER TABLE `pengguna`
MODIFY `id` int(5) NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=2;
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
CREATE DATABASE django_contacts;
CREATE USER djangouser WITH PASSWORD 'django';
GRANT ALL PRIVILEGES ON DATABASE django_contacts TO djangouser;
|
CREATE OR ALTER PROCEDURE INCOMING_CALL_CHECK
(
CALLER_PHONE VARCHAR(100),
CALLER_DIVERSION VARCHAR(100),
CHANNEL VARCHAR(100)
)
RETURNS
(
ACCOUNT_ID VARCHAR(32),
PHONE VARCHAR(100),
OPERATOR_ID VARCHAR(32),
FIRM_ID VARCHAR(32),
CHECKED INTEGER
)
AS
DECLARE CNT INTEGER;
DECLARE RANGE_MIN BIGINT;
DECLARE RANGE_MAX BIGINT;
DECLARE PHONE_NUM BIGINT;
BEGIN
CHECKED=0;
IF (CHANNEL IS NOT NULL) THEN BEGIN
FIRM_ID=NULL;
IF ((CHANNEL='CallServerSipChannel2026672') OR
(CHANNEL='CallServerSipChannel2231003')) THEN
FIRM_ID='C49DF004D660BBAF434839044848F5B8';
IF (CHANNEL='CallServerSipChannel2904021') THEN
FIRM_ID='81DCAB751C23A5C942A41C19FE3FC78E';
END
IF ((CALLER_PHONE IS NOT NULL) /*AND (CALLER_PHONE<>'Anonymous')*/) THEN BEGIN
PHONE=CALLER_PHONE;
EXECUTE PROCEDURE TRANSFORM_PHONE (PHONE)
RETURNING_VALUES PHONE;
EXECUTE PROCEDURE CONVERT_PHONE(PHONE,1)
RETURNING_VALUES PHONE;
EXECUTE PROCEDURE GET_OPERATOR (PHONE)
RETURNING_VALUES OPERATOR_ID, RANGE_MIN, RANGE_MAX, PHONE_NUM;
SELECT FIRST 1
ACCOUNT_ID
FROM ACCOUNTS
WHERE PHONE=:PHONE
INTO :ACCOUNT_ID;
IF (ACCOUNT_ID IS NULL) THEN BEGIN
SELECT FIRST 1
CLIENT_ID
FROM CLIENT_PHONES
WHERE PHONE=:PHONE
INTO :ACCOUNT_ID;
END
SELECT COUNT(*)
FROM BLACKS
WHERE PHONE=:PHONE
INTO :CNT;
IF (CNT=0) THEN BEGIN
CHECKED=1;
END
END
END
--
CREATE OR ALTER PROCEDURE GET_CALL_INFO
(
ACCOUNT_ID VARCHAR(32),
ACCOUNT_PHONE VARCHAR(32)
)
RETURNS
(
CALL_ACCOUNT_ID VARCHAR(32),
CALL_NAME VARCHAR(100),
CALL_GROUP VARCHAR(4000),
CALL_DESCRIPTION VARCHAR(250),
CALL_KIND INTEGER
)
AS
DECLARE CALL_PHONE VARCHAR(100);
DECLARE PHONE VARCHAR(100);
DECLARE CNT INTEGER;
DECLARE USER_NAME VARCHAR(100);
DECLARE SURNAME VARCHAR(100);
DECLARE NAME VARCHAR(100);
DECLARE PATRONYMIC VARCHAR(100);
DECLARE DESCRIPTION VARCHAR(250);
DECLARE IS_ROLE INTEGER;
DECLARE FIRM_SMALL_NAME VARCHAR(250);
DECLARE CLIENT_GROUP_ID VARCHAR(32);
BEGIN
CALL_KIND=0; /* Unknown */
CALL_GROUP='Неизвестно';
CALL_PHONE=ACCOUNT_PHONE;
FOR SELECT A.ACCOUNT_ID, A.USER_NAME, A.SURNAME, A.NAME,
A.PATRONYMIC, A.DESCRIPTION, A.IS_ROLE, F.SMALL_NAME
FROM CLIENTS C
JOIN ACCOUNTS A ON A.ACCOUNT_ID=C.CLIENT_ID
LEFT JOIN FIRMS F ON F.FIRM_ID=A.FIRM_ID
LEFT JOIN CLIENT_PHONES CP ON CP.CLIENT_ID=C.CLIENT_ID
WHERE CP.PHONE=:CALL_PHONE
OR A.PHONE=:CALL_PHONE
OR A.ACCOUNT_ID=:ACCOUNT_ID
INTO :ACCOUNT_ID, :USER_NAME, :SURNAME, :NAME,
:PATRONYMIC, :DESCRIPTION, :IS_ROLE, :FIRM_SMALL_NAME DO BEGIN
BREAK;
END
IF (ACCOUNT_ID IS NULL) THEN BEGIN
FOR SELECT A.ACCOUNT_ID, A.USER_NAME, A.SURNAME, A.NAME,
A.PATRONYMIC, A.DESCRIPTION, A.IS_ROLE, F.SMALL_NAME
FROM ACCOUNTS A
LEFT JOIN FIRMS F ON F.FIRM_ID=A.FIRM_ID
WHERE A.PHONE=:CALL_PHONE
INTO :ACCOUNT_ID, :USER_NAME, :SURNAME, :NAME,
:PATRONYMIC, :DESCRIPTION, :IS_ROLE, :FIRM_SMALL_NAME DO BEGIN
BREAK;
END
END ELSE BEGIN
FOR SELECT A.ACCOUNT_ID, A.USER_NAME, A.SURNAME, A.NAME,
A.PATRONYMIC, A.DESCRIPTION, A.IS_ROLE, F.SMALL_NAME
FROM ACCOUNTS A
LEFT JOIN FIRMS F ON F.FIRM_ID=A.FIRM_ID
WHERE A.ACCOUNT_ID=:ACCOUNT_ID
INTO :ACCOUNT_ID, :USER_NAME, :SURNAME, :NAME,
:PATRONYMIC, :DESCRIPTION, :IS_ROLE, :FIRM_SMALL_NAME DO BEGIN
BREAK;
END
END
CALL_ACCOUNT_ID=ACCOUNT_ID;
IF (ACCOUNT_ID IS NOT NULL) THEN BEGIN
CALL_NAME=TRIM(CALL_PHONE);
CALL_DESCRIPTION=NULL;
IF (SURNAME IS NOT NULL) THEN
CALL_DESCRIPTION=TRIM(SURNAME);
IF (NAME IS NOT NULL) THEN
CALL_DESCRIPTION=CALL_DESCRIPTION||' '||TRIM(NAME);
IF (PATRONYMIC IS NOT NULL) THEN
CALL_DESCRIPTION=CALL_DESCRIPTION||' '||TRIM(PATRONYMIC);
IF (USER_NAME IS NOT NULL) THEN
CALL_DESCRIPTION=TRIM(USER_NAME)||' - '||CALL_DESCRIPTION;
IF (FIRM_SMALL_NAME IS NOT NULL) THEN BEGIN
CALL_DESCRIPTION=CALL_DESCRIPTION||' ['||TRIM(FIRM_SMALL_NAME)||']';
END
SELECT COUNT(*)
FROM CLIENTS
WHERE CLIENT_ID=:ACCOUNT_ID
INTO :CNT;
IF (CNT>0) THEN BEGIN
CLIENT_GROUP_ID=NULL;
SELECT CLIENT_GROUP_ID
FROM CLIENTS
WHERE CLIENT_ID=:ACCOUNT_ID
INTO :CLIENT_GROUP_ID;
IF (CLIENT_GROUP_ID IS NOT NULL) THEN BEGIN
CALL_GROUP=NULL;
EXECUTE PROCEDURE GET_CLIENT_GROUP_PATH(CLIENT_GROUP_ID,'/')
RETURNING_VALUES CALL_GROUP;
END
CALL_KIND=1; /* Client */
IF (CALL_GROUP IS NOT NULL) THEN
CALL_GROUP='Клиенты/'||CALL_GROUP;
ELSE
CALL_GROUP='Клиенты';
END ElSE BEGIN
SELECT COUNT(*)
FROM DRIVERS
WHERE DRIVER_ID=:ACCOUNT_ID
INTO :CNT;
IF (CNT>0) THEN BEGIN
CALL_KIND=2; /* Driver */
CALL_GROUP='Водители';
END ELSE BEGIN
SELECT COUNT(*)
FROM DISPATCHERS
WHERE DISPATCHER_ID=:ACCOUNT_ID
INTO :CNT;
IF (CNT>0) THEN BEGIN
CALL_KIND=3; /* Dispatcher */
CALL_GROUP='Диспетчеры';
END ElSE BEGIN
CALL_KIND=4; /* Account */
CALL_GROUP='Учетные записи';
END
END
END
END ELSE BEGIN
CALL_NAME=CALL_PHONE;
IF (CALL_PHONE IS NULL) THEN BEGIN
CALL_NAME='Не определён';
END
END
END
--
|
CREATE VIEW uil_users AS
SELECT * FROM uil_anagrafiche
CREATE VIEW uil_funzionari AS
SELECT a.*, b.id_funzionario FROM uil_anagrafiche a INNER JOIN uil_an_funzionari b ON a.id_anagrafica = b.id_anagrafica |
/*
Navicat MySQL Data Transfer
Source Server : guns
Source Server Version : 50556
Source Host : localhost:3306
Source Database : wzsp
Target Server Type : MYSQL
Target Server Version : 50556
File Encoding : 65001
Date: 2020-08-19 20:12:41
*/
SET FOREIGN_KEY_CHECKS=0;
-- ----------------------------
-- Table structure for wzsp_czjl
-- ----------------------------
DROP TABLE IF EXISTS `wzsp_czjl`;
CREATE TABLE `wzsp_czjl` (
`id` bigint(20) NOT NULL COMMENT '主键',
`czsj` datetime DEFAULT NULL COMMENT '充值时间，2020-08-07 10:00:00',
`czje` decimal(30,0) DEFAULT NULL COMMENT '100元',
`czry` bigint(20) DEFAULT NULL COMMENT 'sus_user表中的id，给谁充值',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='充值记录表';
-- ----------------------------
-- Table structure for wzsp_ddsp
-- ----------------------------
DROP TABLE IF EXISTS `wzsp_ddsp`;
CREATE TABLE `wzsp_ddsp` (
`id` bigint(20) NOT NULL COMMENT '主键',
`ddspid` bigint(20) DEFAULT NULL COMMENT '订单商品id',
`ddspsl` int(50) DEFAULT NULL COMMENT '订单配送数量',
`ddspdj` decimal(50,0) DEFAULT NULL COMMENT '订单商品单价',
`ddid` bigint(20) DEFAULT NULL COMMENT '订单id（订单表中的id）',
`ddr` bigint(20) DEFAULT NULL COMMENT '订单人（sys_user表中的id）',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='订单商品表';
-- ----------------------------
-- Table structure for wzsp_ddspwc
-- ----------------------------
DROP TABLE IF EXISTS `wzsp_ddspwc`;
CREATE TABLE `wzsp_ddspwc` (
`id` bigint(20) NOT NULL COMMENT '主键',
`ddspid` bigint(20) DEFAULT NULL COMMENT '订单商品id',
`ddspsl` bigint(50) DEFAULT NULL COMMENT '订单商品数量',
`ddspdj` decimal(50,0) DEFAULT NULL COMMENT '订单商品单价',
`ddid` bigint(20) DEFAULT NULL COMMENT '订单id（订单表中的id）',
`ddzj` varchar(50) DEFAULT NULL COMMENT '订单总价(数量*单价)',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='订单商品完成表';
-- ----------------------------
-- Table structure for wzsp_ddwc
-- ----------------------------
DROP TABLE IF EXISTS `wzsp_ddwc`;
CREATE TABLE `wzsp_ddwc` (
`id` bigint(20) NOT NULL COMMENT '主键',
`ddze` varchar(50) DEFAULT NULL COMMENT '订单总额',
`fkqkye` varchar(50) DEFAULT NULL COMMENT '付款情况(余额)',
`fkqkddzf` varchar(50) DEFAULT NULL COMMENT '付款情况(订单支付)',
`ddsj` datetime DEFAULT NULL COMMENT '订单时间',
`ddr` bigint(20) DEFAULT NULL COMMENT '订单人(sys_user表中的id)',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='订单完成表';
-- ----------------------------
-- Table structure for wzsp_psdz
-- ----------------------------
DROP TABLE IF EXISTS `wzsp_psdz`;
CREATE TABLE `wzsp_psdz` (
`id` bigint(20) NOT NULL COMMENT '用户id，与sys_user表中的id相同',
`dz` varchar(100) DEFAULT NULL COMMENT '配送地址',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='配送地址表';
-- ----------------------------
-- Table structure for wzsp_spgl
-- ----------------------------
DROP TABLE IF EXISTS `wzsp_spgl`;
CREATE TABLE `wzsp_spgl` (
`id` bigint(20) NOT NULL,
`spmc` varchar(50) DEFAULT NULL COMMENT '商品名称',
`spjg` decimal(50,0) DEFAULT NULL COMMENT '商品价格',
`spkc` int(50) DEFAULT NULL COMMENT '商品库存',
`spzp` varchar(200) DEFAULT NULL COMMENT '商品照片路径',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='商品管理表';
-- ----------------------------
-- Table structure for wzsp_yhdd
-- ----------------------------
DROP TABLE IF EXISTS `wzsp_yhdd`;
CREATE TABLE `wzsp_yhdd` (
`id` bigint(20) NOT NULL,
`ddze` varchar(50) DEFAULT NULL COMMENT '订单总额',
`fkqkye` varchar(50) DEFAULT NULL COMMENT '付款情况(余额)',
`fkqkddzf` varchar(50) DEFAULT NULL COMMENT '付款情况(到店支付)',
`ddsj` datetime DEFAULT NULL COMMENT '订单时间',
`ddr` bigint(20) DEFAULT NULL COMMENT '订单人(sys_user表中的id)',
`psdz` varchar(100) DEFAULT NULL COMMENT '配送地址',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='用户订单表';
-- ----------------------------
-- Table structure for wzsp_yhye
-- ----------------------------
DROP TABLE IF EXISTS `wzsp_yhye`;
CREATE TABLE `wzsp_yhye` (
`id` bigint(20) NOT NULL COMMENT '用户id，与sys_user表中的id相同',
`yhye` decimal(20,0) DEFAULT NULL COMMENT '用户余额',
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 COMMENT='用户余额表';
|
ALTER TABLE programs
ADD COLUMN published_at datetime AFTER deleted_at; |
DROP DATABASE IF EXISTS bamazon;
-- Creates the "animals_db" database --
CREATE DATABASE bamazon;
CREATE TABLE products (
id INTEGER(100) AUTO_INCREMENT NOT NULL,
product_name VARCHAR(30) NOT NULL,
price INTEGER(30),
stock_quantity INTEGER(30),
PRIMARY KEY (id)
);
INSERT INTO products (product_name, price, stock_quantity)
VALUES ("Apple", 100, 10);
INSERT INTO products (product_name, price, stock_quantity)
VALUES ("Controller", 30, 10);
INSERT INTO products (product_name, price, stock_quantity)
VALUES ("Chair", 45, 10);
INSERT INTO products (product_name, price, stock_quantity)
VALUES ("Hat", 15, 10);
INSERT INTO products (product_name, price, stock_quantity)
VALUES ("Shoes", 135, 10);
|
SELECT TOP (30) CountryName, [Population]
FROM Countries
WHERE ContinentCode IN ('EU')
ORDER BY [Population] DESC |
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: `mydb`
--
-- --------------------------------------------------------
--
-- Table structure for table `products`
--
CREATE TABLE `products` (
`code` varchar(100) NOT NULL,
`name` varchar(100) DEFAULT NULL,
`price` int(11) NOT NULL,
`gst` int(11) NOT NULL
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
--
-- Dumping data for table `products`
--
INSERT INTO `products` (`code`, `name`, `price`, `gst`) VALUES
('a1', 'laptop',89322, 10),
('a2','book',9181,23),
('a3', 'mobile',82918, 10),
('a4', 'charger', 8565, 10);
--
-- Indexes for dumped tables
--
--
-- Indexes for table `products`
--
ALTER TABLE `products`
ADD PRIMARY KEY (`code`);
CREATE TABLE `products` (
`name` varchar(100),
`password` varchar(100),
) ENGINE=MyISAM DEFAULT CHARSET=latin1;
--
-- Dumping data for table `products`
--
INSERT INTO `login` (`name`,`password`) VALUES
('xxxxx', 'qwerty'),
('yyyyy','ytrewq');
/*!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 */;
|
-- rowlock-hist.sql
-- get top 5 events per AWR snapshot, per instance
-- Jared Still jkstill@gmail.com
-- requires https://github.com/jkstill/oracle-script-lib/blob/master/sql/get_date_range.sql
-- prompt for date range
--@get_date_range
set verify off
-- or just specify it here
@get_date_range '2016-09-19 00:00:00' '2016-12-30 16:00:00'
set linesize 200 trimspool on
set pagesize 100
clear break
@clear_for_spool
col begin_interval_time noprint
spool rowlock-hist.csv
prompt timestamp,instance,count
select distinct hs.begin_interval_time,
to_char(hs.begin_interval_time,'&d_date_format')
|| ',' || nvl(d.instance_number,1)
|| ',' || count(d.event) over (partition by d.snap_id, d.event, d.instance_number)
from dba_hist_active_sess_history d
join dba_hist_event_name n on n.event_id = d.event_id
and n.event_name = 'enq: TX - row lock contention'
full outer join dba_hist_snapshot hs on hs.snap_id = d.snap_id
and hs.instance_number = d.instance_number
and hs.dbid = d.dbid
where hs.begin_interval_time between
to_date(:v_begin_date,'&d_date_format')
and to_date(:v_end_date,'&d_date_format')
order by hs.begin_interval_time
/
spool off
ed rowlock-hist.csv
@clears
|
/*
Esta consulta CALCULA los creditos acumulados de un usuario segun los eventos que tiene marcados como
ASISTIDO = 1
*/
SELECT SUM(CREDITOS) AS TOTAL_CREDITOS FROM EVENTO
NATURAL JOIN EVENTO_USUARIO
NATURAL JOIN USUARIO
WHERE NOMBRE_USUARIO = 'DEGUALTEROS' AND ASISTIDO = 1; |
-- phpMyAdmin SQL Dump
-- version 5.0.1
-- https://www.phpmyadmin.net/
--
-- Host: 127.0.0.1
-- Generation Time: Apr 04, 2020 at 08:35 PM
-- Server version: 10.4.11-MariaDB
-- PHP Version: 7.2.28
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: `arvan`
--
-- --------------------------------------------------------
--
-- Table structure for table `categories`
--
CREATE TABLE `categories` (
`id` int(10) UNSIGNED NOT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
`deleted_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `categories`
--
INSERT INTO `categories` (`id`, `name`, `created_at`, `updated_at`, `deleted_at`) VALUES
(1, 'Rerum sit similique.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(2, 'Magnam et ut.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(3, 'Corporis ea aut.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(4, 'Veniam commodi voluptatem.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(5, 'Omnis impedit.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(6, 'Ut magnam omnis veniam quia.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(7, 'Fugit vero et maiores.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(8, 'Error ut est et.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(9, 'Placeat voluptatem quia.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(10, 'Hic rerum aut.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(11, 'Nihil ut voluptatem nulla.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(12, 'Et architecto voluptatem.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(13, 'Qui numquam neque.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(14, 'Nihil omnis quo illo.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(15, 'Sed ut id.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(16, 'Quo qui corrupti voluptas.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(17, 'Debitis rem eveniet sed.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(18, 'Hic sed doloribus molestiae.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(19, 'Aut ut eius temporibus.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(20, 'Qui nesciunt nulla consequuntur.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(21, 'Non ut sunt.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(22, 'Voluptatibus et qui labore.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(23, 'Laborum eaque et.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(24, 'Deserunt veritatis omnis sed.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(25, 'Consequatur consequuntur excepturi itaque.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(26, 'Ipsum deserunt doloremque est ea.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(27, 'Accusantium perferendis et aliquam similique.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(28, 'Aut earum.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(29, 'Impedit nihil.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(30, 'Expedita dicta magni eaque.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(31, 'Quia ad iusto.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(32, 'Ducimus qui nesciunt sit.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(33, 'Sint ducimus est corrupti.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(34, 'Non esse et.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(35, 'Quasi explicabo minima.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(36, 'Sed sequi voluptatem deleniti.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(37, 'Maiores non qui beatae.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(38, 'Facere incidunt aspernatur ut totam.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(39, 'Non distinctio et.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(40, 'Voluptas distinctio amet id.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(41, 'Hic magni voluptas et in.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(42, 'Ad pariatur totam eum.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(43, 'Enim inventore ullam praesentium.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(44, 'Modi animi ratione vel.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(45, 'Ratione voluptas doloribus officiis.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(46, 'Fuga dignissimos tenetur dolor.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(47, 'Totam ex molestiae.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(48, 'Cum provident eligendi.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(49, 'Similique sit.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL),
(50, 'Rem error iure natus animi.', '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL);
-- --------------------------------------------------------
--
-- Table structure for table `category_shop`
--
CREATE TABLE `category_shop` (
`shop_id` int(10) UNSIGNED NOT NULL,
`category_id` int(10) UNSIGNED NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `category_shop`
--
INSERT INTO `category_shop` (`shop_id`, `category_id`) VALUES
(1, 13),
(1, 18),
(1, 22),
(2, 17),
(2, 21),
(2, 29),
(5, 8),
(5, 14),
(5, 15),
(6, 11),
(7, 12),
(7, 18),
(7, 25),
(9, 19),
(9, 20),
(9, 32),
(10, 26),
(10, 34),
(11, 2);
-- --------------------------------------------------------
--
-- Table structure for table `days`
--
CREATE TABLE `days` (
`id` int(10) UNSIGNED NOT NULL,
`name` varchar(255) 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 `days`
--
INSERT INTO `days` (`id`, `name`, `created_at`, `updated_at`) VALUES
(1, 'monday', '2020-03-28 11:23:52', '2020-03-28 11:23:52'),
(2, 'tuesday', '2020-03-28 11:23:52', '2020-03-28 11:23:52'),
(3, 'wednesday', '2020-03-28 11:23:52', '2020-03-28 11:23:52'),
(4, 'thursday', '2020-03-28 11:23:52', '2020-03-28 11:23:52'),
(5, 'friday', '2020-03-28 11:23:52', '2020-03-28 11:23:52'),
(6, 'saturday', '2020-03-28 11:23:52', '2020-03-28 11:23:52'),
(7, 'sunday', '2020-03-28 11:23:52', '2020-03-28 11:23:52');
-- --------------------------------------------------------
--
-- Table structure for table `day_shop`
--
CREATE TABLE `day_shop` (
`day_id` int(10) UNSIGNED NOT NULL,
`shop_id` int(10) UNSIGNED NOT NULL,
`from_hours` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`from_minutes` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`to_hours` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`to_minutes` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `day_shop`
--
INSERT INTO `day_shop` (`day_id`, `shop_id`, `from_hours`, `from_minutes`, `to_hours`, `to_minutes`) VALUES
(1, 1, '10', '00', '18', '00'),
(2, 1, '08', '00', '18', '00'),
(3, 1, '10', '00', '20', '00'),
(4, 1, '09', '00', '18', '00'),
(5, 1, '12', '00', '22', '00'),
(1, 2, '10', '00', '18', '00'),
(2, 2, '08', '00', '18', '00'),
(3, 2, '10', '00', '20', '00'),
(4, 2, '09', '00', '18', '00'),
(5, 2, '12', '00', '22', '00'),
(1, 3, '10', '00', '18', '00'),
(2, 3, '08', '00', '18', '00'),
(3, 3, '10', '00', '20', '00'),
(4, 3, '09', '00', '18', '00'),
(5, 3, '12', '00', '22', '00'),
(1, 4, '10', '00', '18', '00'),
(2, 4, '08', '00', '18', '00'),
(3, 4, '10', '00', '20', '00'),
(4, 4, '09', '00', '18', '00'),
(5, 4, '12', '00', '22', '00'),
(1, 5, '10', '00', '18', '00'),
(2, 5, '08', '00', '18', '00'),
(3, 5, '10', '00', '20', '00'),
(4, 5, '09', '00', '18', '00'),
(5, 5, '12', '00', '22', '00'),
(1, 6, '10', '00', '18', '00'),
(2, 6, '08', '00', '18', '00'),
(3, 6, '10', '00', '20', '00'),
(4, 6, '09', '00', '18', '00'),
(5, 6, '12', '00', '22', '00'),
(1, 7, '10', '00', '18', '00'),
(2, 7, '08', '00', '18', '00'),
(3, 7, '10', '00', '20', '00'),
(4, 7, '09', '00', '18', '00'),
(5, 7, '12', '00', '22', '00'),
(1, 8, '10', '00', '18', '00'),
(2, 8, '08', '00', '18', '00'),
(3, 8, '10', '00', '20', '00'),
(4, 8, '09', '00', '18', '00'),
(5, 8, '12', '00', '22', '00'),
(1, 9, '10', '00', '18', '00'),
(2, 9, '08', '00', '18', '00'),
(3, 9, '10', '00', '20', '00'),
(4, 9, '09', '00', '18', '00'),
(5, 9, '12', '00', '22', '00'),
(1, 10, '10', '00', '18', '00'),
(2, 10, '08', '00', '18', '00'),
(3, 10, '10', '00', '20', '00'),
(4, 10, '09', '00', '18', '00'),
(5, 10, '12', '00', '22', '00');
-- --------------------------------------------------------
--
-- Table structure for table `media`
--
CREATE TABLE `media` (
`id` int(10) UNSIGNED NOT NULL,
`model_type` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`model_id` bigint(20) UNSIGNED NOT NULL,
`collection_name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`file_name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`mime_type` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`disk` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`size` int(10) UNSIGNED NOT NULL,
`manipulations` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_bin NOT NULL CHECK (json_valid(`manipulations`)),
`custom_properties` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_bin NOT NULL CHECK (json_valid(`custom_properties`)),
`responsive_images` longtext CHARACTER SET utf8mb4 COLLATE utf8mb4_bin NOT NULL CHECK (json_valid(`responsive_images`)),
`order_column` int(10) UNSIGNED 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 `media`
--
INSERT INTO `media` (`id`, `model_type`, `model_id`, `collection_name`, `name`, `file_name`, `mime_type`, `disk`, `size`, `manipulations`, `custom_properties`, `responsive_images`, `order_column`, `created_at`, `updated_at`) VALUES
(1, 'App\\Shop', 1, 'photos', 'a3', 'a3.jpg', 'image/jpeg', 'public', 95833, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 1, '2020-03-28 11:23:52', '2020-03-28 11:23:53'),
(2, 'App\\Shop', 1, 'photos', 'a7', 'a7.jpg', 'image/jpeg', 'public', 85767, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 2, '2020-03-28 11:23:53', '2020-03-28 11:23:53'),
(3, 'App\\Shop', 1, 'photos', 'a9', 'a9.jpg', 'image/jpeg', 'public', 77479, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 3, '2020-03-28 11:23:53', '2020-03-28 11:23:54'),
(4, 'App\\Shop', 2, 'photos', 'a3', 'a3.jpg', 'image/jpeg', 'public', 95833, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 4, '2020-03-28 11:23:54', '2020-03-28 11:23:54'),
(5, 'App\\Shop', 2, 'photos', 'a6', 'a6.jpg', 'image/jpeg', 'public', 67594, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 5, '2020-03-28 11:23:54', '2020-03-28 11:23:55'),
(6, 'App\\Shop', 2, 'photos', 'a9', 'a9.jpg', 'image/jpeg', 'public', 77479, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 6, '2020-03-28 11:23:55', '2020-03-28 11:23:55'),
(7, 'App\\Shop', 3, 'photos', 'a2', 'a2.jpg', 'image/jpeg', 'public', 73083, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 7, '2020-03-28 11:23:55', '2020-03-28 11:23:55'),
(8, 'App\\Shop', 3, 'photos', 'a3', 'a3.jpg', 'image/jpeg', 'public', 95833, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 8, '2020-03-28 11:23:56', '2020-03-28 11:23:56'),
(9, 'App\\Shop', 3, 'photos', 'a5', 'a5.jpg', 'image/jpeg', 'public', 94002, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 9, '2020-03-28 11:23:56', '2020-03-28 11:23:56'),
(10, 'App\\Shop', 4, 'photos', 'a4', 'a4.jpg', 'image/jpeg', 'public', 58053, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 10, '2020-03-28 11:23:56', '2020-03-28 11:23:56'),
(11, 'App\\Shop', 5, 'photos', 'a4', 'a4.jpg', 'image/jpeg', 'public', 58053, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 11, '2020-03-28 11:23:57', '2020-03-28 11:23:57'),
(12, 'App\\Shop', 5, 'photos', 'a10', 'a10.jpg', 'image/jpeg', 'public', 59578, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 12, '2020-03-28 11:23:57', '2020-03-28 11:23:57'),
(13, 'App\\Shop', 6, 'photos', 'a2', 'a2.jpg', 'image/jpeg', 'public', 73083, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 13, '2020-03-28 11:23:57', '2020-03-28 11:23:57'),
(14, 'App\\Shop', 6, 'photos', 'a8', 'a8.jpg', 'image/jpeg', 'public', 55187, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 14, '2020-03-28 11:23:58', '2020-03-28 11:23:58'),
(15, 'App\\Shop', 6, 'photos', 'a10', 'a10.jpg', 'image/jpeg', 'public', 59578, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 15, '2020-03-28 11:23:58', '2020-03-28 11:23:58'),
(16, 'App\\Shop', 7, 'photos', 'a8', 'a8.jpg', 'image/jpeg', 'public', 55187, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 16, '2020-03-28 11:23:58', '2020-03-28 11:23:59'),
(17, 'App\\Shop', 7, 'photos', 'a9', 'a9.jpg', 'image/jpeg', 'public', 77479, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 17, '2020-03-28 11:23:59', '2020-03-28 11:23:59'),
(18, 'App\\Shop', 8, 'photos', 'a11', 'a11.jpg', 'image/jpeg', 'public', 76348, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 18, '2020-03-28 11:23:59', '2020-03-28 11:24:00'),
(19, 'App\\Shop', 9, 'photos', 'a1', 'a1.jpg', 'image/jpeg', 'public', 105016, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 19, '2020-03-28 11:24:00', '2020-03-28 11:24:00'),
(20, 'App\\Shop', 9, 'photos', 'a2', 'a2.jpg', 'image/jpeg', 'public', 73083, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 20, '2020-03-28 11:24:00', '2020-03-28 11:24:00'),
(21, 'App\\Shop', 10, 'photos', 'a8', 'a8.jpg', 'image/jpeg', 'public', 55187, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 21, '2020-03-28 11:24:00', '2020-03-28 11:24:01'),
(22, 'App\\Shop', 10, 'photos', 'a9', 'a9.jpg', 'image/jpeg', 'public', 77479, '[]', '{\"generated_conversions\":{\"thumb\":true}}', '[]', 22, '2020-03-28 11:24:01', '2020-03-28 11:24:01');
-- --------------------------------------------------------
--
-- Table structure for table `migrations`
--
CREATE TABLE `migrations` (
`id` int(10) UNSIGNED NOT NULL,
`migration` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`batch` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `migrations`
--
INSERT INTO `migrations` (`id`, `migration`, `batch`) VALUES
(1, '2014_10_12_100000_create_password_resets_table', 1),
(2, '2016_06_01_000001_create_oauth_auth_codes_table', 1),
(3, '2016_06_01_000002_create_oauth_access_tokens_table', 1),
(4, '2016_06_01_000003_create_oauth_refresh_tokens_table', 1),
(5, '2016_06_01_000004_create_oauth_clients_table', 1),
(6, '2016_06_01_000005_create_oauth_personal_access_clients_table', 1),
(7, '2019_11_28_000001_create_media_table', 1),
(8, '2019_11_28_000002_create_permissions_table', 1),
(9, '2019_11_28_000003_create_roles_table', 1),
(10, '2019_11_28_000004_create_users_table', 1),
(11, '2019_11_28_000005_create_categories_table', 1),
(12, '2019_11_28_000006_create_shops_table', 1),
(13, '2019_11_28_000007_create_permission_role_pivot_table', 1),
(14, '2019_11_28_000008_create_role_user_pivot_table', 1),
(15, '2019_11_28_000009_create_category_shop_pivot_table', 1),
(16, '2019_11_28_000010_add_relationship_fields_to_shops_table', 1),
(17, '2019_11_29_111745_create_days_table', 1),
(18, '2019_11_29_115228_create_day_shop_pivot_table', 1);
-- --------------------------------------------------------
--
-- Table structure for table `oauth_access_tokens`
--
CREATE TABLE `oauth_access_tokens` (
`id` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
`user_id` bigint(20) DEFAULT NULL,
`client_id` int(10) UNSIGNED NOT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`scopes` text COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`revoked` tinyint(1) NOT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
`expires_at` datetime DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `oauth_auth_codes`
--
CREATE TABLE `oauth_auth_codes` (
`id` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
`user_id` bigint(20) NOT NULL,
`client_id` int(10) UNSIGNED NOT NULL,
`scopes` text COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`revoked` tinyint(1) NOT NULL,
`expires_at` datetime DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
-- --------------------------------------------------------
--
-- Table structure for table `oauth_clients`
--
CREATE TABLE `oauth_clients` (
`id` int(10) UNSIGNED NOT NULL,
`user_id` bigint(20) DEFAULT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`secret` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
`redirect` text COLLATE utf8mb4_unicode_ci NOT NULL,
`personal_access_client` tinyint(1) NOT NULL,
`password_client` tinyint(1) NOT NULL,
`revoked` tinyint(1) 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 `oauth_personal_access_clients`
--
CREATE TABLE `oauth_personal_access_clients` (
`id` int(10) UNSIGNED NOT NULL,
`client_id` int(10) UNSIGNED 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 `oauth_refresh_tokens`
--
CREATE TABLE `oauth_refresh_tokens` (
`id` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
`access_token_id` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL,
`revoked` tinyint(1) NOT NULL,
`expires_at` datetime 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` int(10) UNSIGNED NOT NULL,
`title` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
`deleted_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `permissions`
--
INSERT INTO `permissions` (`id`, `title`, `created_at`, `updated_at`, `deleted_at`) VALUES
(1, 'user_management_access', NULL, NULL, NULL),
(2, 'permission_create', NULL, NULL, NULL),
(3, 'permission_edit', NULL, NULL, NULL),
(4, 'permission_show', NULL, NULL, NULL),
(5, 'permission_delete', NULL, NULL, NULL),
(6, 'permission_access', NULL, NULL, NULL),
(7, 'role_create', NULL, NULL, NULL),
(8, 'role_edit', NULL, NULL, NULL),
(9, 'role_show', NULL, NULL, NULL),
(10, 'role_delete', NULL, NULL, NULL),
(11, 'role_access', NULL, NULL, NULL),
(12, 'user_create', NULL, NULL, NULL),
(13, 'user_edit', NULL, NULL, NULL),
(14, 'user_show', NULL, NULL, NULL),
(15, 'user_delete', NULL, NULL, NULL),
(16, 'user_access', NULL, NULL, NULL),
(17, 'category_create', NULL, '2020-03-29 07:14:08', '2020-03-29 07:14:08'),
(18, 'category_edit', NULL, '2020-03-29 07:14:03', '2020-03-29 07:14:03'),
(19, 'category_show', NULL, '2020-03-29 07:13:57', '2020-03-29 07:13:57'),
(20, 'category_delete', NULL, '2020-03-29 07:13:52', '2020-03-29 07:13:52'),
(21, 'category_access', NULL, '2020-03-29 07:13:47', '2020-03-29 07:13:47'),
(22, 'shop_create', NULL, '2020-03-29 07:13:42', '2020-03-29 07:13:42'),
(23, 'shop_edit', NULL, '2020-03-29 07:13:37', '2020-03-29 07:13:37'),
(24, 'shop_show', NULL, '2020-03-29 07:13:29', '2020-03-29 07:13:29'),
(25, 'shop_delete', NULL, '2020-03-29 07:13:22', '2020-03-29 07:13:22'),
(26, 'shop_access', NULL, '2020-03-29 07:13:18', '2020-03-29 07:13:18'),
(27, 'Login', '2020-03-29 06:59:52', '2020-03-29 06:59:52', NULL),
(28, 'view_map', '2020-04-01 02:50:08', '2020-04-01 02:50:08', NULL);
-- --------------------------------------------------------
--
-- Table structure for table `permission_role`
--
CREATE TABLE `permission_role` (
`role_id` int(10) UNSIGNED NOT NULL,
`permission_id` int(10) UNSIGNED NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `permission_role`
--
INSERT INTO `permission_role` (`role_id`, `permission_id`) VALUES
(1, 1),
(1, 2),
(1, 3),
(1, 4),
(1, 5),
(1, 6),
(1, 7),
(1, 8),
(1, 9),
(1, 10),
(1, 11),
(1, 12),
(1, 13),
(1, 14),
(1, 15),
(1, 16),
(2, 27),
(1, 27),
(1, 28);
-- --------------------------------------------------------
--
-- Table structure for table `roles`
--
CREATE TABLE `roles` (
`id` int(10) UNSIGNED NOT NULL,
`title` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
`deleted_at` timestamp NULL DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `roles`
--
INSERT INTO `roles` (`id`, `title`, `created_at`, `updated_at`, `deleted_at`) VALUES
(1, 'Admin', NULL, NULL, NULL),
(2, 'User', NULL, '2020-03-29 06:58:41', NULL);
-- --------------------------------------------------------
--
-- Table structure for table `role_user`
--
CREATE TABLE `role_user` (
`user_id` int(10) UNSIGNED NOT NULL,
`role_id` int(10) UNSIGNED NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `role_user`
--
INSERT INTO `role_user` (`user_id`, `role_id`) VALUES
(2, 2),
(3, 2),
(4, 2),
(5, 2),
(6, 2),
(7, 2),
(8, 2),
(9, 2),
(10, 2),
(11, 2),
(1, 1),
(12, 2),
(13, 2),
(13, 1),
(14, 2),
(14, 1),
(15, 2);
-- --------------------------------------------------------
--
-- Table structure for table `shops2`
--
CREATE TABLE `shops2` (
`id` int(10) UNSIGNED NOT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`description` longtext COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`address` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`latitude` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`longitude` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`active` tinyint(1) NOT NULL DEFAULT 0,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
`deleted_at` timestamp NULL DEFAULT NULL,
`created_by_id` int(10) UNSIGNED DEFAULT NULL
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci;
--
-- Dumping data for table `shops2`
--
INSERT INTO `shops2` (`id`, `name`, `description`, `address`, `latitude`, `longitude`, `active`, `created_at`, `updated_at`, `deleted_at`, `created_by_id`) VALUES
(1, 'Brekke-Hahn', 'Ab harum aliquid sit harum. Ullam totam fugiat in in. Voluptatem ipsa qui labore molestias. Corporis quibusdam rerum recusandae est.', 'Tesco Express, George Street, London', '51.5174361', '-0.1562695000000076', 1, '2020-03-28 11:23:52', '2020-03-28 11:23:52', NULL, 2),
(2, 'Donnelly-Walter', 'Officiis ut aliquam qui doloremque quia ut. Quae molestias debitis quaerat. Sed explicabo eos voluptatem aspernatur.', 'Tesco Superstore, Tilling Road, London', '51.5741621', '-0.21467619999998533', 1, '2020-03-28 11:23:54', '2020-03-28 11:23:54', NULL, 3),
(3, 'Jones Group', 'Error ab illum est debitis. Suscipit nihil ut eum repellat sequi accusantium similique. Mollitia non assumenda fuga officia.', 'Sports Direct, Oxford Street, London', '51.5158907', '-0.13791100000003098', 1, '2020-03-28 11:23:55', '2020-03-28 11:23:55', NULL, 4),
(4, 'O\'Kon, Gleichner and Skiles', 'Sed nostrum harum animi voluptatem dolorem aut in. Inventore odit consequatur optio quia dolor sunt. Ex expedita autem sint possimus fuga iste placeat.', 'Outlet.store.uk, Finchley Road, London', '51.5391825', '-0.17634509999993497', 1, '2020-03-28 11:23:56', '2020-03-28 11:23:56', NULL, 5),
(5, 'Gislason-Rowe', 'Sint ea eum velit optio. Quas aspernatur ut consequuntur eligendi. Veritatis nobis est non id. Aut dolore commodi recusandae impedit. Provident impedit eius ab vel.', 'Brick Lane Sunday Market, Brick Lane, London', '51.5212073', '-0.0718159000000469', 1, '2020-03-28 11:23:56', '2020-03-28 11:23:56', NULL, 6),
(6, 'Prohaska-McGlynn', 'Ipsum non ducimus aut sed et. Eveniet molestiae harum autem. Illo et accusantium voluptatum accusamus qui voluptas qui.', 'The Harry Potter Shop at Platform 9 3/4, Pancras Road, London', '51.5321845', '-0.12392169999998259', 1, '2020-03-28 11:23:57', '2020-03-28 11:23:57', NULL, 7),
(7, 'Skiles, Wolff and Lakin', 'Explicabo necessitatibus architecto voluptatem. Itaque commodi voluptatibus et praesentium. Aut est et molestias laudantium culpa.', 'The Beekeeper Honey - London Essex UK, Goodmayes Lane, London, Ilford', '51.5577173', '0.1089951999999812', 1, '2020-03-28 11:23:58', '2020-03-28 11:23:58', NULL, 8),
(8, 'Gerlach, Wolff and Heathcote', 'Cupiditate molestiae at quo sed neque et est rerum. Aut cupiditate id fugiat tempora sequi. Eum eius suscipit deleniti et minima. Quisquam adipisci et labore vel accusamus sapiente consequatur.', 'Sainsbury\'s, London Road, Forest Hill, London', '51.4397092', '-0.055361199999993005', 1, '2020-03-28 11:23:59', '2020-03-28 11:23:59', NULL, 9),
(9, 'Johnston, Reilly and Block', 'Reiciendis qui dolores minus illum. Cupiditate qui voluptatem eius fuga aspernatur et. In dolorum placeat sunt laborum possimus animi aspernatur.', 'Lidl, Sydenham Road, London', '51.4253218', '-0.04806940000003124', 1, '2020-03-28 11:24:00', '2020-03-28 11:24:00', NULL, 10),
(10, 'Conn, Christiansen and Anderson', 'Consequuntur numquam repellendus et consequatur. Aut quae sapiente officia consectetur in. Sapiente officia culpa similique qui porro. Fugit est ut id eum.', 'CHANEL Old Spitalfields Market, Commercial Street, London', '51.51934869999999', '-0.07468889999995554', 1, '2020-03-28 11:24:00', '2020-03-28 11:24:00', NULL, 11),
(11, 'a', 'a', 'Jakarta Selatan, South Jakarta City, Jakarta, Indonesia', '-6.2614927', '106.8105998', 1, '2020-03-28 21:44:32', '2020-03-28 21:44:32', NULL, NULL);
-- --------------------------------------------------------
--
-- Table structure for table `users`
--
CREATE TABLE `users` (
`id` int(10) UNSIGNED NOT NULL,
`name` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`email` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`email_verified_at` datetime DEFAULT NULL,
`password` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`nip` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`mobilephone` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`dob` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`pob` varchar(255) COLLATE utf8mb4_unicode_ci NOT NULL,
`remember_token` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`created_at` timestamp NULL DEFAULT NULL,
`updated_at` timestamp NULL DEFAULT NULL,
`deleted_at` timestamp NULL DEFAULT NULL,
`address` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`latitude` varchar(255) COLLATE utf8mb4_unicode_ci DEFAULT NULL,
`longitude` varchar(255) COLLATE utf8mb4_unicode_ci 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`, `nip`, `mobilephone`, `dob`, `pob`, `remember_token`, `created_at`, `updated_at`, `deleted_at`, `address`, `latitude`, `longitude`) VALUES
(1, 'Admin', 'admin@admin.com', NULL, '$2y$10$vUIzDlvfpu2yOATsPYcPaOTY/zgbgwViLIWSfZxSlmRBFV.g/fmOW', '', '', '', '', NULL, NULL, NULL, NULL, 'Bekasi, Bekasi City, West Java, Indonesia', '-6.2382699', '106.9755726'),
(2, 'Ms. Rosella Hills', 'user1@user1.com', NULL, '$2y$10$gmRP/ioMsUfh7q/WS549SuRdwrQ0bwLYN6oUIpivnnVh8JSg8i3W6', '', '', '', '', NULL, '2020-03-28 11:23:50', '2020-03-28 11:23:50', '2020-03-31 08:54:31', 'Bekasi, Bekasi City, West Java, Indonesia', '-6.2382699', '106.9755726'),
(3, 'Giuseppe Schmeler', 'user2@user2.com', NULL, '$2y$10$N0I2kF/o4PFP4aaxp8Yp1OV4IB5Wm5qGcMH1svtlN3GubGznXYuEy', '', '', '', '', NULL, '2020-03-28 11:23:50', '2020-03-28 11:23:50', '2020-03-31 08:54:31', 'Bekasi, Bekasi City, West Java, Indonesia', '-6.2382699', '106.9755726'),
(4, 'Dr. Coby Hills', 'user3@user3.com', NULL, '$2y$10$gWsdTm4l2ST/koBotIDeT.vglDI3jC3ytXrWPYo/Jr2MwTM17StNu', '', '', '', '', NULL, '2020-03-28 11:23:50', '2020-03-31 08:54:31', '2020-03-31 08:54:31', 'Bekasi, Bekasi City, West Java, Indonesia', '-6.2382699', '106.9755726'),
(5, 'Mr. Mateo Bogan', 'user4@user4.com', NULL, '$2y$10$XZH6rqPdNIQOkpI3g65jAehVqFEcYCkqR6Z0cT8QnCETMtLvUlVpa', '', '', '', '', NULL, '2020-03-28 11:23:50', '2020-03-28 11:23:50', '2020-03-31 08:54:31', 'Bekasi, Bekasi City, West Java, Indonesia', '-6.2382699', '106.9755726'),
(6, 'Deborah O\'Kon', 'user5@user5.com', NULL, '$2y$10$s4tDWpFNreGu1FJy5JuCoODW/KAMAXTHgBqZeUH4Um7/.xU4OMdZW', '', '', '', '', NULL, '2020-03-28 11:23:51', '2020-03-28 11:23:51', '2020-03-31 08:54:31', 'Bekasi, Bekasi City, West Java, Indonesia', '-6.2382699', '106.9755726'),
(7, 'Ms. Patience Cassin III', 'user6@user6.com', NULL, '$2y$10$p9eo4szz1glvQfYeQ69K4uK5dRXJIun1p4dTs9eagwx/W1JuxDLyS', '', '', '', '', NULL, '2020-03-28 11:23:51', '2020-03-28 11:23:51', '2020-03-31 08:54:31', 'Bekasi, Bekasi City, West Java, Indonesia', '-6.2382699', '106.9755726'),
(8, 'Ethelyn Strosin II', 'user7@user7.com', NULL, '$2y$10$atgQeXgVNwcAN90CFL8NEOi3Lih8ZQB2Aah6eDWDzT254ehnhfIJO', '', '', '', '', NULL, '2020-03-28 11:23:51', '2020-03-28 11:23:51', '2020-03-31 08:54:31', 'Bekasi, Bekasi City, West Java, Indonesia', '-6.2382699', '106.9755726'),
(9, 'Dr. Mervin Kuhic I', 'user8@user8.com', NULL, '$2y$10$7DM9cHu6Au3BVdGY04ceBeRKkafx65qwcbe8ADLNeAf9K7xtVC9uG', '', '', '', '', NULL, '2020-03-28 11:23:51', '2020-03-28 11:23:51', '2020-03-31 08:54:31', 'Bekasi, Bekasi City, West Java, Indonesia', '-6.2382699', '106.9755726'),
(10, 'Monica Gutkowski PhD', 'user9@user9.com', NULL, '$2y$10$8PfNbxpvLsopGCE4yj6ltOy8pxczDlxxTnzXz1azFVicXxjIhDks.', '', '', '', '', NULL, '2020-03-28 11:23:51', '2020-03-28 11:23:51', '2020-03-31 08:54:31', 'Bekasi, Bekasi City, West Java, Indonesia', '-6.2382699', '106.9755726'),
(11, 'Alejandrin Schoen', 'user10@user10.com', NULL, '$2y$10$Xaf2yTSlfIwsUyBtDuK0NulFcUEEtbYlwtiiRLcOpbtAiVUswgol2', '', '', '', '', NULL, '2020-03-28 11:23:52', '2020-03-31 08:54:38', '2020-03-31 08:54:38', 'Bekasi, Bekasi City, West Java, Indonesia', '-6.2382699', '106.9755726'),
(12, 'ikhsan', 'radenican@gmail.com', NULL, '$2y$10$fhvx80Kq6r0UImfw4splf.9A5iz5SWQVcG63Vk/AI66apCzODFPdy', '', '', '', '', NULL, '2020-03-28 11:39:01', '2020-03-28 11:39:01', '2020-03-31 08:54:31', 'Bekasi, Bekasi City, West Java, Indonesia', '-6.2382699', '106.9755726'),
(13, 'raden mochammad', 'radenican2@gmail.com', NULL, '$2y$10$rWuX4zQFKtLr82dX334rfeyQBEbd4CEu8PYJ.JxU4jznqygWH2AOa', '1231231', '082297383474', '2020-03-29', 'Jakarta', NULL, '2020-03-29 06:00:39', '2020-03-29 06:00:39', '2020-03-31 08:54:31', 'Bekasi, Bekasi City, West Java, Indonesia', '-6.2382699', '106.9755726'),
(14, 'ikhsan3', 'radenican3@gmail.com', NULL, '$2y$10$vkFqEKgnr4rckSl67x7dleIW/sPK21qWiqZUXA0snLbpzRIbV9YhC', '1231231', '123123213', '2020-03-29', 'Jakarta', NULL, '2020-03-29 06:04:00', '2020-03-29 06:04:00', '2020-03-31 08:54:31', 'Bekasi, Bekasi City, West Java, Indonesia', '-6.2382699', '106.9755726'),
(15, 'user', 'user@user.com', NULL, '$2y$10$B7u/BlgqsIw3Wqns/rLUg.Nz4ORG9zMN0g.hHgVzOisN50rwXVIWy', '12312', 'user', '2020-03-31', 'Jakarta', NULL, '2020-03-31 08:55:23', '2020-03-31 08:55:23', NULL, 'Tambun, Bekasi, West Java, Indonesia', '-6.2681716', '107.062802');
--
-- Indexes for dumped tables
--
--
-- Indexes for table `categories`
--
ALTER TABLE `categories`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `category_shop`
--
ALTER TABLE `category_shop`
ADD KEY `shop_id_fk_667152` (`shop_id`),
ADD KEY `category_id_fk_667152` (`category_id`);
--
-- Indexes for table `days`
--
ALTER TABLE `days`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `day_shop`
--
ALTER TABLE `day_shop`
ADD KEY `day_shop_day_id_foreign` (`day_id`),
ADD KEY `day_shop_shop_id_foreign` (`shop_id`);
--
-- Indexes for table `media`
--
ALTER TABLE `media`
ADD PRIMARY KEY (`id`),
ADD KEY `media_model_type_model_id_index` (`model_type`,`model_id`);
--
-- Indexes for table `migrations`
--
ALTER TABLE `migrations`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `oauth_access_tokens`
--
ALTER TABLE `oauth_access_tokens`
ADD PRIMARY KEY (`id`),
ADD KEY `oauth_access_tokens_user_id_index` (`user_id`);
--
-- Indexes for table `oauth_auth_codes`
--
ALTER TABLE `oauth_auth_codes`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `oauth_clients`
--
ALTER TABLE `oauth_clients`
ADD PRIMARY KEY (`id`),
ADD KEY `oauth_clients_user_id_index` (`user_id`);
--
-- Indexes for table `oauth_personal_access_clients`
--
ALTER TABLE `oauth_personal_access_clients`
ADD PRIMARY KEY (`id`),
ADD KEY `oauth_personal_access_clients_client_id_index` (`client_id`);
--
-- Indexes for table `oauth_refresh_tokens`
--
ALTER TABLE `oauth_refresh_tokens`
ADD PRIMARY KEY (`id`),
ADD KEY `oauth_refresh_tokens_access_token_id_index` (`access_token_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 `permission_role`
--
ALTER TABLE `permission_role`
ADD KEY `role_id_fk_666897` (`role_id`),
ADD KEY `permission_id_fk_666897` (`permission_id`);
--
-- Indexes for table `roles`
--
ALTER TABLE `roles`
ADD PRIMARY KEY (`id`);
--
-- Indexes for table `role_user`
--
ALTER TABLE `role_user`
ADD KEY `user_id_fk_666906` (`user_id`),
ADD KEY `role_id_fk_666906` (`role_id`);
--
-- Indexes for table `shops2`
--
ALTER TABLE `shops2`
ADD PRIMARY KEY (`id`),
ADD KEY `created_by_fk_667277` (`created_by_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` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=51;
--
-- AUTO_INCREMENT for table `days`
--
ALTER TABLE `days`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=8;
--
-- AUTO_INCREMENT for table `media`
--
ALTER TABLE `media`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=23;
--
-- AUTO_INCREMENT for table `migrations`
--
ALTER TABLE `migrations`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=19;
--
-- AUTO_INCREMENT for table `oauth_clients`
--
ALTER TABLE `oauth_clients`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `oauth_personal_access_clients`
--
ALTER TABLE `oauth_personal_access_clients`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT;
--
-- AUTO_INCREMENT for table `permissions`
--
ALTER TABLE `permissions`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=29;
--
-- AUTO_INCREMENT for table `roles`
--
ALTER TABLE `roles`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=3;
--
-- AUTO_INCREMENT for table `shops2`
--
ALTER TABLE `shops2`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=12;
--
-- AUTO_INCREMENT for table `users`
--
ALTER TABLE `users`
MODIFY `id` int(10) UNSIGNED NOT NULL AUTO_INCREMENT, AUTO_INCREMENT=16;
--
-- Constraints for dumped tables
--
--
-- Constraints for table `category_shop`
--
ALTER TABLE `category_shop`
ADD CONSTRAINT `category_id_fk_667152` FOREIGN KEY (`category_id`) REFERENCES `categories` (`id`) ON DELETE CASCADE,
ADD CONSTRAINT `shop_id_fk_667152` FOREIGN KEY (`shop_id`) REFERENCES `shops2` (`id`) ON DELETE CASCADE;
--
-- Constraints for table `day_shop`
--
ALTER TABLE `day_shop`
ADD CONSTRAINT `day_shop_day_id_foreign` FOREIGN KEY (`day_id`) REFERENCES `days` (`id`) ON DELETE CASCADE,
ADD CONSTRAINT `day_shop_shop_id_foreign` FOREIGN KEY (`shop_id`) REFERENCES `shops2` (`id`) ON DELETE CASCADE;
--
-- Constraints for table `permission_role`
--
ALTER TABLE `permission_role`
ADD CONSTRAINT `permission_id_fk_666897` FOREIGN KEY (`permission_id`) REFERENCES `permissions` (`id`) ON DELETE CASCADE,
ADD CONSTRAINT `role_id_fk_666897` FOREIGN KEY (`role_id`) REFERENCES `roles` (`id`) ON DELETE CASCADE;
--
-- Constraints for table `role_user`
--
ALTER TABLE `role_user`
ADD CONSTRAINT `role_id_fk_666906` FOREIGN KEY (`role_id`) REFERENCES `roles` (`id`) ON DELETE CASCADE,
ADD CONSTRAINT `user_id_fk_666906` FOREIGN KEY (`user_id`) REFERENCES `users` (`id`) ON DELETE CASCADE;
--
-- Constraints for table `shops2`
--
ALTER TABLE `shops2`
ADD CONSTRAINT `created_by_fk_667277` FOREIGN KEY (`created_by_id`) REFERENCES `users` (`id`);
COMMIT;
/*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
/*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
/*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;
|
/* Use our created db */
USE employee_trackerDB;
/* Create table with id that auto increments, first name, last name, */
/* reference to their role id, reference to their manager id */
CREATE TABLE employees (
emp_id INT NOT NULL AUTO_INCREMENT,
first_name VARCHAR(30) NOT NULL,
last_name VARCHAR(30) NOT NULL,
role_id INT NOT NULL,
manager_id INT,
PRIMARY KEY (emp_id),
FOREIGN KEY (role_id) REFERENCES roles(rol_id),
FOREIGN KEY (manager_id) REFERENCES employees(emp_id)
);
|
--
-- Data for Name: servicios; Type: TABLE DATA; Schema: public; Owner: postgres
--
COPY servicios (codigo, nombre, id) FROM stdin;
008 MADERA 6
020 MANT. Y REPARACION BIENES MUEBLES 7
037 DEMAS SERVICIOS GRABADOS 8
022 OTROS SERVICIOS EMPRESARIALES 9
021 MOVIMIENTO DE CARGA 10
027 TRANSPORTE DE CARGA 11
027 SERVICIO DE TRANSPORTE DE BIENES REALIZADO POR VIA TERRESTRE 12
009 ARENA Y PIEDRA 13
026 TRANSPORTE DE PERSONAS 14
019 ALQUILER BIENES MUEBLES 15
\.
--
-- Name: servicios_id_seq; Type: SEQUENCE SET; Schema: public; Owner: postgres
--
SELECT pg_catalog.setval('servicios_id_seq', 15, true);
|
SET FOREIGN_KEY_CHECKS = 0;
drop table if exists address;
drop table if exists users;
drop table if exists event;
SET FOREIGN_KEY_CHECKS = 1;
create table address
(address_id INT NOT NULL AUTO_INCREMENT,
street VARCHAR(60),
street_nr VARCHAR(3),
postcode INT(5) ,
city varchar(20),
PRIMARY KEY (address_id)
);
create table users (user_id INT NOT NULL AUTO_INCREMENT,
email varchar(70) NOT NULL,
password_ varchar(30) NOT NULL,
first_name varchar(25)NOT NULL,
last_name varchar(25) NOT NULL,
address_id int,
FOREIGN KEY (address_id) references address(address_id) on delete cascade,
PRIMARY KEY (user_id),
UNIQUE INDEX (email)
);
create table event (
event_id INT NOT NULL AUTO_INCREMENT,
title varchar(50) not null,
description varchar(120),
place varchar(30),
event_begin varchar(30) NOT NULL,
event_end varchar(30) NOT NULL,
full_day boolean,
category varchar(20),
primary key ( event_id),
user_id int,
foreign key ( user_id) references users ( user_id) on delete cascade
); |
SELECT
m.title, r.rating
FROM
movies AS m
JOIN
ratings AS r
ON r.movie_id = m.id
WHERE
m.year = 2010 AND r.rating != "\N"
ORDER BY r.rating DESC, m.title; |
CREATE DATABASE IF NOT EXISTS `TakeNote` DEFAULT CHARACTER SET utf8 DEFAULT COLLATE utf8_general_ci;
USE `TakeNote`;
CREATE TABLE IF NOT EXISTS `NOTES` (
`id_note` INT UNSIGNED NOT NULL AUTO_INCREMENT,
`athour` VARCHAR(50) COLLATE utf8_general_ci NOT NULL,
`description` TEXT(100) COLLATE utf8_general_ci NOT NULL,
`content` TEXT COLLATE utf8_general_ci NOT NULL,
`status` VARCHAR(10) NOT NULL,
`created_at` DATE NOT NULL,
`updated_at` DATE NOT NULL,
PRIMARY KEY (`id_note`)
) ENGINE = InnoDB DEFAULT CHARSET = utf8 COLLATE = utf8_general_ci AUTO_INCREMENT = 1;
USE `TakeNote`;
CREATE TABLE IF NOT EXISTS `USERS` (
`id_user` INT UNSIGNED NOT NULL AUTO_INCREMENT,
`username` VARCHAR(50) COLLATE utf8_general_ci NOT NULL,
`password` VARCHAR(50) COLLATE utf8_general_ci NOT NULL,
`created_at` DATE NOT NULL,
`updated_at` DATE NOT NULL,
`isLoggedIn` VARCHAR(10) NOT NULL,
PRIMARY KEY (`id_user`)
) ENGINE = InnoDB DEFAULT CHARSET = utf8 COLLATE = utf8_general_ci AUTO_INCREMENT = 1; |
CREATE DATABASE IF NOT EXISTS milk CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci;
CREATE USER IF NOT EXISTS 'supermilkchan'@'%' IDENTIFIED BY 'oh';
GRANT ALL PRIVILEGES ON milk.* TO 'supermilkchan'@'%';
FLUSH PRIVILEGES;
|
/* This is query to get total of sell quantity for products */
SELECT product_id,
product_name,
SUM(order_item_quantity) AS order_item_quantity,
SUM(order_item_addons_quantity) AS order_item_addons_quantity,
(SUM(order_item_quantity) + SUM(order_item_addons_quantity)) AS total_quantity
FROM (
SELECT p.id AS product_id,
p.name AS product_name,
IFNULL(SUM(oi.quantity), 0) AS order_item_quantity,
0 AS order_item_addons_quantity
FROM products p
LEFT JOIN order_items oi ON oi.productId = p.id
GROUP BY p.id
UNION ALL
SELECT p.id AS product_id,
p.name AS product_name,
0 AS order_item_quantity,
IFNULL(SUM(oia.quantity), 0) AS order_item_addons_quantity
FROM products p
LEFT JOIN order_item_addons oia ON oia.productId = p.id
GROUP BY p.id
) t
GROUP BY t.product_id, t.product_name
ORDER BY t.product_name;
|
SELECT cohorts.name, AVG(completed_at - started_at) AS average_assistance_time
FROM cohorts
LEFT JOIN students ON cohort_id = cohorts.id
LEFT JOIN assistance_requests ON student_id = students.id
GROUP BY cohorts.name
ORDER BY average_assistance_time; |
/* TEST QUERIES FOR DATA MASKING FUNCTIONS */
/* 1. General purpose masking functions */
/* 1.1 mask_inner - A general-purpose function for masking inner parts of a string */
/* 1.1.1 mask_inner - Either margin is negative - return NULL */
SELECT '41111' str, LENGTH('41111') str_len,
dept_emp.mask_inner('41111', -2, 4) mask_str,
LENGTH(dept_emp.mask_inner('41111', -2, 4)) mask_str_len;
SELECT '41111' str, LENGTH('41111') str_len,
dept_emp.mask_inner('41111', 2, -4) mask_str,
LENGTH(dept_emp.mask_inner('41111', 2, -4)) mask_str_len;
SELECT '41111' str, LENGTH('41111') str_len,
dept_emp.mask_inner('41111', -2, -4) mask_str,
LENGTH(dept_emp.mask_inner('41111', -2, -4)) mask_str_len;
/* Result:
*
* +-------+---------+----------+--------------+
* | str | str_len | mask_str | mask_str_len |
* +-------+---------+----------+--------------+
* | 41111 | 5 | NULL | NULL |
* +-------+---------+----------+--------------+
*/
/* 1.1.2 mask_inner - Length of the string (5) lower than length of the mask (6) - return same string */
SELECT '41111' str, LENGTH('41111') str_len,
dept_emp.mask_inner('41111', 2, 4) mask_str,
LENGTH(dept_emp.mask_inner('41111', 2, 4)) mask_str_len;
/* Result:
*
* +-------+---------+----------+--------------+
* | str | str_len | mask_str | mask_str_len |
* +-------+---------+----------+--------------+
* | 41111 | 5 | 41111 | 5 |
* +-------+---------+----------+--------------+
*/
/* 1.1.3 mask_inner - normal usage with a test Visa number */
SELECT '4111111111111111' str, LENGTH('4111111111111111') str_len,
dept_emp.mask_inner('4111111111111111', 2, 4) mask_str,
LENGTH(dept_emp.mask_inner('4111111111111111', 2, 4)) mask_str_len;
/* Result:
*
* +------------------+---------+------------------+--------------+
* | str | str_len | mask_str | mask_str_len |
* +------------------+---------+------------------+--------------+
* | 4111111111111111 | 16 | 41XXXXXXXXXX1111 | 16 |
* +------------------+---------+------------------+--------------+
*/
/* 1.1.4 mask_inner - with specific masking character - star (*) */
SET @mask_character := '*';
SELECT '4111111111111111' str, LENGTH('4111111111111111') str_len,
dept_emp.mask_inner('4111111111111111', 2, 4) mask_str,
LENGTH(dept_emp.mask_inner('4111111111111111', 2, 4)) mask_str_len;
SET @mask_character := NULL;
/* Result:
*
* +------------------+---------+------------------+--------------+
* | str | str_len | mask_str | mask_str_len |
* +------------------+---------+------------------+--------------+
* | 4111111111111111 | 16 | 41**********1111 | 16 |
* +------------------+---------+------------------+--------------+
*/
/* 1.2 mask_outer - A general-purpose function for masking outer parts of a string */
/* 1.2.1 mask_outer - Either margin is negative - return NULL */
SELECT '41111' str, LENGTH('41111') str_len,
dept_emp.mask_outer('41111', -2, 4) mask_str,
LENGTH(dept_emp.mask_outer('41111', -2, 4)) mask_str_len;
SELECT '41111' str, LENGTH('41111') str_len,
dept_emp.mask_outer('41111', 2, -4) mask_str,
LENGTH(dept_emp.mask_outer('41111', 2, -4)) mask_str_len;
SELECT '41111' str, LENGTH('41111') str_len,
dept_emp.mask_outer('41111', -2, -4) mask_str,
LENGTH(dept_emp.mask_outer('41111', -2, -4)) mask_str_len;
/* Result:
*
* +-------+---------+----------+--------------+
* | str | str_len | mask_str | mask_str_len |
* +-------+---------+----------+--------------+
* | 41111 | 5 | NULL | NULL |
* +-------+---------+----------+--------------+
*/
/* 1.2.2 mask_outer - Length of the string (5) lower than length of the mask (6) - return same string */
SELECT '41111' str, LENGTH('41111') str_len,
dept_emp.mask_outer('41111', 2, 4) mask_str,
LENGTH(dept_emp.mask_outer('41111', 2, 4)) mask_str_len;
/* Result:
*
* +-------+---------+----------+--------------+
* | str | str_len | mask_str | mask_str_len |
* +-------+---------+----------+--------------+
* | 41111 | 5 | 41111 | 5 |
* +-------+---------+----------+--------------+
*/
/* 1.2.3 mask_outer - normal usage with a test Visa number */
SELECT '4111111111111111' str, LENGTH('4111111111111111') str_len,
dept_emp.mask_outer('4111111111111111', 2, 4) mask_str,
LENGTH(dept_emp.mask_outer('4111111111111111', 2, 4)) mask_str_len;
/* Result:
*
* +------------------+---------+------------------+--------------+
* | str | str_len | mask_str | mask_str_len |
* +------------------+---------+------------------+--------------+
* | 4111111111111111 | 16 | XX1111111111XXXX | 16 |
* +------------------+---------+------------------+--------------+
*/
/* 1.2.4 mask_outer - with specific masking character - star (*) */
SET @mask_character := '*';
SELECT '4111111111111111' str, LENGTH('4111111111111111') str_len,
dept_emp.mask_outer('4111111111111111', 2, 4) mask_str,
LENGTH(dept_emp.mask_outer('4111111111111111', 2, 4)) mask_str_len;
SET @mask_character := NULL;
/* Result:
*
* +------------------+---------+------------------+--------------+
* | str | str_len | mask_str | mask_str_len |
* +------------------+---------+------------------+--------------+
* | 4111111111111111 | 16 | **1111111111**** | 16 |
* +------------------+---------+------------------+--------------+
*/
/* 2. Special purpose masking functions */
/* 2.1 mask_pan - Masks all but the last four digits of a PAN */
/* 2.1.1 mask_pan - if not sutable length return unchanged */
SELECT '4111111' pan, LENGTH('4111111') pan_len,
mask_pan('4111111') mask_pan, LENGTH(mask_pan('4111111')) mask_pan_len;
/* Result:
*
* +---------+---------+----------+--------------+
* | pan | pan_len | mask_pan | mask_pan_len |
* +---------+---------+----------+--------------+
* | 4111111 | 7 | 4111111 | 7 |
* +---------+---------+----------+--------------+
*/
/* 2.1.2 mask_pan - normal usage */
SELECT '4111111111111111' pan, LENGTH('4111111111111111') pan_len,
mask_pan('4111111111111111') mask_pan,
LENGTH(mask_pan('4111111111111111')) mask_pan_len;
/* Result:
*
* +------------------+---------+------------------+--------------+
* | pan | pan_len | mask_pan | mask_pan_len |
* +------------------+---------+------------------+--------------+
* | 4111111111111111 | 16 | XXXXXXXXXXXX1111 | 16 |
* +------------------+---------+------------------+--------------+
*/
/* 2.1.3 mask_pan - if pan 20 or more characters */
SELECT '41111111111111111111' pan, LENGTH('41111111111111111111') pan_len,
mask_pan('41111111111111111111') mask_pan,
LENGTH(mask_pan('41111111111111111111')) mask_pan_len;
/* Result: ERROR 1406 (22001): Data too long for column 'pan' at row 1 */
/* 2.2 mask_pan_relaxed - Masks all but the first six and last four digits of a PAN */
/* 2.2.1 mask_pan_relaxed - if not sutable length return unchanged */
SELECT '4111111' pan, LENGTH('4111111') pan_len,
mask_pan_relaxed('4111111') mask_pan,
LENGTH(mask_pan_relaxed('4111111')) mask_pan_len;
/* Result:
*
* +---------+---------+----------+--------------+
* | pan | pan_len | mask_pan | mask_pan_len |
* +---------+---------+----------+--------------+
* | 4111111 | 7 | 4111111 | 7 |
* +---------+---------+----------+--------------+
*/
/* 2.2.2 mask_pan_relaxed - normal usage */
SELECT '4111111111111111' pan, LENGTH('4111111111111111') pan_len,
mask_pan_relaxed('4111111111111111') mask_pan_relaxed,
LENGTH(mask_pan('4111111111111111')) mask_pan_relaxed_len;
/* Result:
*
* +------------------+---------+------------------+----------------------+
* | pan | pan_len | mask_pan_relaxed | mask_pan_relaxed_len |
* +------------------+---------+------------------+----------------------+
* | 4111111111111111 | 16 | 411111XXXXXX1111 | 16 |
* +------------------+---------+------------------+----------------------+
*/
/* 2.2.3 mask_pan_relaxed - if pan 20 or more characters */
SELECT '41111111111111111111' pan, LENGTH('41111111111111111111') pan_len,
mask_pan_relaxed('41111111111111111111') mask_pan,
LENGTH(mask_pan_relaxed('41111111111111111111')) mask_pan_len;
/* Result: ERROR 1406 (22001): Data too long for column 'pan' at row 1 */
/* 2.3 mask_ssn - Masks all but the last four digits of an SSN (Social Security Number) of US citizens */
/* 2.3.1 mask_ssn - SSN as number (9 digits) */
SELECT '909636922' ssn, LENGTH('909636922') ssn_len,
mask_ssn('909636922') mask_ssn, LENGTH(mask_ssn('909636922')) mask_ssn_len;
/* Result:
* +-----------+---------+-----------+--------------+
* | ssn | ssn_len | mask_ssn | mask_ssn_len |
* +-----------+---------+-----------+--------------+
* | 909636922 | 9 | XXXXX6922 | 9 |
* +-----------+---------+-----------+--------------+
*/
/* 2.3.2 mask_ssn - SSN as string (11 digits formatted NNN-NN-NNNN) */
SELECT '909-63-6922' ssn, LENGTH('909-63-6922') ssn_len,
mask_ssn('909-63-6922') mask_ssn, LENGTH(mask_ssn('909-63-6922')) mask_ssn_len;
/* Result:
*
* +-------------+---------+-------------+--------------+
* | ssn | ssn_len | mask_ssn | mask_ssn_len |
* +-------------+---------+-------------+--------------+
* | 909-63-6922 | 11 | XXX-XX-6922 | 11 |
* +-------------+---------+-------------+--------------+
*/
/* 2.3.3 mask_ssn - wrong length */
SELECT '909' ssn, LENGTH('909') ssn_len,
mask_ssn('909') mask_ssn, LENGTH(mask_ssn('909')) mask_ssn_len;
/* Result:
* +-----+---------+----------+--------------+
* | ssn | ssn_len | mask_ssn | mask_ssn_len |
* +-----+---------+----------+--------------+
* | 909 | 3 | NULL | NULL |
* +-----+---------+----------+--------------+
*/
/* 3. Generation of random data */
/* 3.1 gen_range - generate random integer within given range */
SELECT gen_range(1, 10), gen_range(-1000, -200), gen_range(1, 0);
/* Result:
*
* +------------------+------------------------+-----------------+
* | gen_range(1, 10) | gen_range(-1000, -200) | gen_range(1, 0) |
* +------------------+------------------------+-----------------+
* | 5 | -249 | NULL |
* +------------------+------------------------+-----------------+
*/
/* 3.2 gen_rnd_string - generate random string with given length */
SELECT gen_rnd_string(0), gen_rnd_string(8), gen_rnd_string(32);
/* Result:
*
* +-------------------+-------------------+----------------------------------+
* | gen_rnd_string(0) | gen_rnd_string(8) | gen_rnd_string(32) |
* +-------------------+-------------------+----------------------------------+
* | NULL | fdcdhcoo | gnxcqacmbxkimihjcgcretkrioujkwhs |
* +-------------------+-------------------+----------------------------------+
*/
SELECT gen_rnd_string(129);
/* Result: ERROR 1406 (22001): Data too long for column 'res_str' at row 1 */
/* 3.3 gen_rnd_email - generate random e-mail address in example.com domain */
SELECT gen_rnd_email(), gen_rnd_email(), gen_rnd_email();
/* Result:
*
* +---------------------------+---------------------------+---------------------------+
* | gen_rnd_email() | gen_rnd_email() | gen_rnd_email() |
* +---------------------------+---------------------------+---------------------------+
* | prsmg.uigfhxs@example.com | uwais.rfctqvj@example.com | iligi.vhwqoxx@example.com |
* +---------------------------+---------------------------+---------------------------+
*/
/* 3.4 gen_rnd_pan - generate random PAN */
SELECT mask_pan_relaxed(gen_rnd_pan());
/* Result:
*
* +---------------------------------+
* | mask_pan_relaxed(gen_rnd_pan()) |
* +---------------------------------+
* | 433468XXXXXX7825 |
* +---------------------------------+
*/
SET @gen_rnd_pan_len := 19;
SELECT mask_pan_relaxed(gen_rnd_pan());
SET @gen_rnd_pan_len := NULL;
/* Result:
* +---------------------------------+
* | mask_pan_relaxed(gen_rnd_pan()) |
* +---------------------------------+
* | 474077XXXXXXXXX2647 |
* +---------------------------------+
*/
/* 3.5 gen_rnd_ssn - generate random PAN */
SELECT gen_rnd_ssn();
/* Result:
*
* +---------------+
* | gen_rnd_ssn() |
* +---------------+
* | 710-27-8034 |
* +---------------+
*/
/* 3.6 gen_rnd_us_phone - generate random US phone */
SELECT gen_rnd_us_phone();
/* Result:
*
* +--------------------+
* | gen_rnd_us_phone() |
* +--------------------+
* | 1-555-153-0362 |
* +--------------------+
*/
/* 4. Random Data Dictionary-Based procedures */
/* 4.1 gen_dictionary_load - create temporary table for the dictionary */
CALL gen_dictionary_load('/var/mysql/files/us_cities.lst', 'us_cities');
/* Result:
*
* +-------------------------+
* | Dictionary load success |
* +-------------------------+
* | Dictionary load success |
* +-------------------------+
*/
LOAD DATA INFILE '/var/mysql/files/us_cities.lst' INTO TABLE gen_dictionary_us_cities LINES TERMINATED BY '\n' (val);
/* Result:
*
* Query OK, 311 rows affected (0.01 sec)
* Records: 311 Deleted: 0 Skipped: 0 Warnings: 0
*/
/* 4.2 gen_dictionary - generates a random term from given dictionary */
CALL gen_dictionary('us_cities');
SELECT @gen_dictionary_value;
/* Result:
*
* +-----------------------+
* | @gen_dictionary_value |
* +-----------------------+
* | Hartford |
* +-----------------------+
*/
/* 4.3 gen_dictionary_drop - drop temporary table of the dictionary */
CALL gen_dictionary_drop('us_cities');
/* Result:
*
* +--------------------+
* | Dictionary removed |
* +--------------------+
* | Dictionary removed |
* +--------------------+
*/
/* 5. Utility functions */
/* 5.1 calc_luhn - calculate Luhn number for the given string
SELECT '7992739871' pan, LENGTH('7992739871') pan_len, calc_luhn('7992739871') luhn_nbr;
/* Result:
* +------------+---------+----------+
* | pan | pan_len | luhn_nbr |
* +------------+---------+----------+
* | 7992739871 | 10 | 3 |
* +------------+---------+----------+
*/
SELECT '411111111111111' pan, LENGTH('411111111111111') pan_len, calc_luhn('411111111111111') luhn_nbr;
/* Result:
* +-----------------+---------+----------+
* | pan | pan_len | luhn_nbr |
* +-----------------+---------+----------+
* | 411111111111111 | 15 | 1 |
* +-----------------+---------+----------+
*/
SELECT '600452020066870207' pan, LENGTH('600452020066870207') pan_len, calc_luhn('600452020066870207') luhn_nbr;
/* Result:
*
* +--------------------+---------+----------+
* | pan | pan_len | luhn_nbr |
* +--------------------+---------+----------+
* | 600452020066870207 | 18 | 2 |
* +--------------------+---------+----------+
*/
|
--Update the name of alert type which code is 'HARDWARE'(Alert Type Id = 3) from 'HW w/o HW LPAR' to 'SOM1a: HW WITH HOSTNAME'
update EAADMIN.ALERT_TYPE set NAME = 'SOM1a: HW WITH HOSTNAME' where CODE = 'HARDWARE';
--Update the name of alert type which code is 'HWCFGDTA'(Alert Type Id = 37) from 'SOM1b: HW Box Critical Configuration Data Populated' to 'SOM1b: HW BOX CRITICAL CONFIGURATION DATA POPULATED'
update EAADMIN.ALERT_TYPE set NAME = 'SOM1b: HW BOX CRITICAL CONFIGURATION DATA POPULATED' where CODE = 'HWCFGDTA';
--Update the name of alert type which code is 'HW_LPAR'(Alert Type Id = 4) from 'HW LPAR w/o SW LPAR' to 'SOM2a: HW LPAR WITH SW LPAR'
update EAADMIN.ALERT_TYPE set NAME = 'SOM2a: HW LPAR WITH SW LPAR' where CODE = 'HW_LPAR';
--Update the name of alert type which code is 'SW_LPAR'(Alert Type Id = 5) from 'SW LPAR w/o HW LPAR' to 'SOM2b: SW LPAR WITH HW LPAR'
update EAADMIN.ALERT_TYPE set NAME = 'SOM2b: SW LPAR WITH HW LPAR' where CODE = 'SW_LPAR';
--Update the name of alert type which code is 'EXP_SCAN'(Alert Type Id = 6) from 'OUTDATED SW LPAR' to 'SOM2c: UNEXPIRED SW LPAR'
update EAADMIN.ALERT_TYPE set NAME = 'SOM2c: UNEXPIRED SW LPAR' where CODE = 'EXP_SCAN';
--Update the name of alert type which code is 'SWISCOPE'(Alert Type Id = 57) from 'SOM3: SW Instances with Defined Contract Scope' to 'SOM3: SW INSTANCES WITH DEFINED CONTRACT SCOPE'
update EAADMIN.ALERT_TYPE set NAME = 'SOM3: SW INSTANCES WITH DEFINED CONTRACT SCOPE' where CODE = 'SWISCOPE';
--Update the name of alert type which code is 'SWIBM'(Alert Type Id = 7) from 'SOM4a: IBM SW Instances Reviewed' to 'SOM4a: IBM SW INSTANCES REVIEWED'
update EAADMIN.ALERT_TYPE set NAME = 'SOM4a: IBM SW INSTANCES REVIEWED' where CODE = 'SWIBM';
--Update the name of alert type which code is 'SWISVPR'(Alert Type Id = 58) from 'SOM4b: Priority ISV SW Instances Reviewed' to 'SOM4b: PRIORITY ISV SW INSTANCES REVIEWED'
update EAADMIN.ALERT_TYPE set NAME = 'SOM4b: PRIORITY ISV SW INSTANCES REVIEWED' where CODE = 'SWISVPR';
--Update the name of alert type which code is 'SWISVNPR'(Alert Type Id = 59) from 'SOM4c: ISV SW Instances Reviewed' to 'SOM4c: ISV SW INSTANCES REVIEWED'
update EAADMIN.ALERT_TYPE set NAME = 'SOM4c: ISV SW INSTANCES REVIEWED' where CODE = 'SWISVNPR'; |
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