Day 1 Material
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# Database
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## Tools
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* mySQL
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## MySQL Datatypes
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Ty p e | S i z e | D e s c r i p t i o n
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-----|-----|---
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CHAR[Length] | Length bytes | A fixed-length field from 0 to 255 characters long.
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VARCHAR(Length) | String length + 1 bytes | A fixed-length field from 0 to 255 characters long.
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TINYTEXT | String length + 1 bytes | A string with a maximum length of 255 characters.
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TEXT | String length + 2 bytes | A string with a maximum length of 65,535 characters.
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MEDIUMTEXT | String length + 3 bytes | A string with a maximum length of 16,777,215 characters.
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LONGTEXT | String length + 4 bytes | A string with a maximum length of 4,294,967,295 characters.
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TINYINT[Length] | 1 byte | Range of -128 to 127 or 0 to 255 unsigned.
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SMALLINT[Length] | 2 bytes | Range of -32,768 to 32,767 or 0 to 65535 unsigned.
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MEDIUMINT[Length] | 3 bytes | Range of -8,388,608 to 8,388,607 or 0 to 16,777,215 unsigned.
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INT[Length] | 4 bytes | Range of -2,147,483,648 to 2,147,483,647 or 0 to 4,294,967,295 unsigned.
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BIGINT[Length] | 8 bytes | Range of -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807 or 0 to 18,446,744,073,709,551,615 unsigned.
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FLOAT | 4 bytes | A small number with a floating decimal point.
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DOUBLE[Length, Decimals] | 8 bytes | A large number with a floating decimal point.
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DECIMAL[Length, Decimals] | Length + 1 or Length + 2 bytes | A DOUBLE stored as a string, allowing for a fixed decimal point.
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DATE | 3 bytes | In the format of YYYY-MM-DD.
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DATETIME | 8 bytes | In the format of YYYY-MM-DD HH:MM:SS.
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TIMESTAMP | 4 bytes | In the format of YYYYMMDDHHMMSS; acceptable range ends inthe year 2037.
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TIME | 3 bytes | In the format of HH:MM:SS
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ENUM | 1 or 2 bytes | Short for enumeration, which means that each column can haveone of several possible values.
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SET | 1, 2, 3, 4, or 8 bytes | Like ENUM except that each column can have more than one ofseveral possible values.
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## SQL Client
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* Part 1
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```sql
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mysql> show databases;
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mysql> create database test_db;
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mysql> show databases;
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mysql> use test_db;
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mysql> show tables;
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mysql> create table users (
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user_id INT,
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name VARCHAR(50),
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dob DATE,
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mobile_number INT,
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ic_number INT
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);
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// show table fields design
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mysql> describe users;
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// add new column
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mysql> alter table users add verify INT;
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// delete column
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mysql> alter table users drop column verify;
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// modify field type
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mysql> alter table users modify column verify varchar(100);
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// insert record into table
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mysql> insert into users (user_id, name, mobile_number)
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values (123, 'dixant', 9988222);
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// dob in yyyy-mm-dd
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mysql> insert into users (user_id, name, mobile_number, dob)
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values (123, 'dixant', 9988222, '1975-12-01');
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// add multiple records
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mysql> insert into users (user_id, name, mobile_number)
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values (125, 'john', 99882221), (126, 'harry', 99882223);
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// view table records
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mysql> select * FROM users
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//update a record
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mysql> update users set dob = '1976-01-01' where user_id = 123;
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// delete record
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mysql> delete from users where dob > '1976-01-01';
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// create new database
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mysql> create database ntuc;
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mysql> use ntuc;
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// create grocery table
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mysql> create table grocery (
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tag INT,
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name VARCHAR(100),
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brand VARCHAR(100),
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price DECIMAL(10,2),
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quantity INT
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);
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// rename table
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mysql> alter table grocery rename to store;
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```
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* Part 2
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```sql
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// open database
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mysql> use ntuc;
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// import script from .sql file
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mysql> source C:\...\data.sql
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mysql> show tables;
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// queries filter order by ascending order
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mysql> select * from customer where customer_wallet > 5000 order by customer_wallet order by asc;
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// order by wallet then tolerance
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mysql> select * from customer where customer_wallet > 5000 order by customer_wallet desc, customer_tolerance order by asc;
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// only display name& email order by wallet then tolerance
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mysql> select customer_name, customer_email from customer where customer_wallet > 5000 order by customer_wallet desc, customer_tolerance order by asc;
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/// nested queries select within select
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mysql> select customer_name from
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(select * from customer where customer_wallet > 3000) as temp
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where customer_tolerance > 0.5;
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// filter using IN clause
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mysql> select * from customer where customer_tolerance IN (0.5, 0.6, 0.7);
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mysql> select * from customer where custome tolerance
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IN (select customer_tolerance where customer_tolerance < 0.8);
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// ans for exercise
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mysql> select * from transaction where customer_id
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in (select customer_id from customer where customer_tolerance < 0.7);
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///
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```
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* common functions
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* COUNT
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* SUM
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* AVG
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* MAX
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* MIN
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```sql
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// sum
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mysql> select SUM(customer_wallet) from customer;
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// average
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mysql> select AVG(customer_wallet) from customer;
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/// number of records
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mysql> select COUNT(customer_wallet) from customer;
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```
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* Others functions
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* CURRENT_DATE
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* [Complete List](https://www.w3schools.com/sql/sql_ref_mysql.asp)
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* `Group By` Clause
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```sql
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// group and sum by type..
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mysql> select customer_type, sum(customer_wallet) from customer group by customer_type;
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// exclude type 2
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mysql> select customer_type, sum(customer_wallet) from customer
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where customer_type <> 2
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group by customer_type;
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```
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* `LIMIT` Clause
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* limit the number of record to return
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```sql
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// show onlt first 5 records
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mysql> select * from customer limit 5;
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```
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* `LIKE` Clause
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* pattern match
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* wildcard
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+ `%` : substitute any number of character
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+ `_` : substitute only one character
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```sql
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// show name start with Z
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mysql> select * from customer where customer_name LIKE 'Z%';
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```
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* `UNION` Clause
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* combine data from different table
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* performance optimisation
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```sql
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mysql> select customer_id from customer
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UNION
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select transaction_id from transaction;
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mysql> select seller_name as name from seller
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UNION select product_name from product;
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// in comparison with OR, UNION is better performance
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mysql> select customer_name from customer where customer_wallet = 6000 UNION
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select customer_name from customer where customer_wallet = 8000;
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```
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* `INNER JOIN` clause
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* aggregates data from different tables
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```sql
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// join [transaction] and [customer] table
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mysql> SELECT transaction.transaction_id, transaction.transaction_datetime, customer.customer_name
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FROM transaction
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INNER JOIN customer
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ON customer.customer_id = transaction.customer_id;
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// alias AS to simplify
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mysql> SELECT t.transaction_id, t.transaction_datetime, c.customer_name
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FROM transaction AS t
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INNER JOIN customer AS c
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ON c.customer_id = t.customer_id;
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```
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* `LEFT JOIN` clause
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* return data from first table
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```sql
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// alias AS to simplify
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mysql> SELECT t.transaction_id, t.transaction_datetime, c.customer_name
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FROM transaction AS t
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LEFT JOIN customer AS c
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ON c.customer_id = t.customer_id
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GROUP BY c.customer_id;
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mysql> SELECT c.customer_name, t.transaction_id, t.transaction_datetime
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FROM customer AS c
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LEFT JOIN transaction AS t
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ON c.customer_id = t.customer_id
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GROUP BY c.customer_id;
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```
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* `RIGHT JOIN` clause
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* return data from first table
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```sql
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mysql> SELECT t.transaction_id, t.transaction_datetime, c.customer_name
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FROM transaction AS t
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RIGHT JOIN customer AS c
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ON c.customer_id = t.customer_id;
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```
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* `OUTER JOIN` clause
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* 3 types
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+ LEFT OUTER JOIN
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+ RIGHT OUTER JOIN
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+ FULL OUTER JOIN
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* INDEX clause
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* speed up search queries
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```sql
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mysql> CREATE INDEX
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ON ;
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```
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* `PRIMARY KEY` clause
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* constraint to force unique values
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```sql
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mysql> CREATE TABLE table1(
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COL1 INT
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COL2 INT)
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PRIMARY KEY (COL1);
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```
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* `FOREIGN KEY` clause
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*
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```sql
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mysql> ALTER TABLE table2
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ADD FOREIGN KEY (COL2) REFERENCE table1(COL2);
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```
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* Practical Exercise #4
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```sql
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// Q1
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mysql> SELECT t.transaction_id, t.transaction_datetime, c.customer_name
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FROM transaction AS t
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INNER JOIN customer AS c
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ON c.customer_id = t.customer_id;
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// Q2
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mysql> select customer_id, max(transaction_datetime) from transaction group by customer_id;
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// Q3
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mysql> select seller_id, avg(transaction_amount) from transaction group by seller_id;
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mysql> select s.seller_id, s.seller_name, avg(t.transaction_amount) FROM seller AS s
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RIGHT JOIN transaction AS t
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ON s.seller_id = t.seller_id
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GROUP BY s.seller_id;
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```
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PE #4 Answers
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1. select c.customer_name, t.transaction_datetime from customer as c left join transaction as t on c.customer_id = t.customer_id;
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2. select c.customer_name, max(t.transaction_datetime) from customer as c left join transaction as t on c.customer_id = t.customer_id group by c.customer_id;
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3. select s.seller_name, avg(t.transaction_amount) from seller as s left join transaction as t on s.seller_id = t.seller_id group by s.seller_id;
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@ -0,0 +1,173 @@
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-- MySQL dump 10.13 Distrib 8.0.19, for osx10.15 (x86_64)
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--
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-- Host: 127.0.0.1 Database: test
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-- ------------------------------------------------------
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-- Server version 8.0.19
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/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
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/*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
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/*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
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/*!50503 SET NAMES utf8mb4 */;
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/*!40103 SET @OLD_TIME_ZONE=@@TIME_ZONE */;
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/*!40103 SET TIME_ZONE='+00:00' */;
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/*!40014 SET @OLD_UNIQUE_CHECKS=@@UNIQUE_CHECKS, UNIQUE_CHECKS=0 */;
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/*!40014 SET @OLD_FOREIGN_KEY_CHECKS=@@FOREIGN_KEY_CHECKS, FOREIGN_KEY_CHECKS=0 */;
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/*!40101 SET @OLD_SQL_MODE=@@SQL_MODE, SQL_MODE='NO_AUTO_VALUE_ON_ZERO' */;
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/*!40111 SET @OLD_SQL_NOTES=@@SQL_NOTES, SQL_NOTES=0 */;
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--
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-- Table structure for table `customer`
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--
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DROP TABLE IF EXISTS `customer`;
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/*!40101 SET @saved_cs_client = @@character_set_client */;
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/*!50503 SET character_set_client = utf8mb4 */;
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CREATE TABLE `customer` (
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`customer_id` int NOT NULL AUTO_INCREMENT,
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`customer_type` tinyint DEFAULT '0',
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`customer_name` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
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`customer_email` varchar(255) DEFAULT NULL,
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`customer_wallet` double(11,0) NOT NULL,
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`customer_tolerance` double(11,2) NOT NULL,
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PRIMARY KEY (`customer_id`)
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) ENGINE=InnoDB AUTO_INCREMENT=30 DEFAULT CHARSET=utf8;
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/*!40101 SET character_set_client = @saved_cs_client */;
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--
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-- Dumping data for table `customer`
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--
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LOCK TABLES `customer` WRITE;
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/*!40000 ALTER TABLE `customer` DISABLE KEYS */;
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INSERT INTO `customer` VALUES (1,0,'Simone','knsejnf@gmail.com',8000,0.80),(2,1,'Betsy','sdbsakd@gmail.com',10000,0.60),(3,0,'Matthew','dfnsd@gmail.com',9000,0.80),(4,1,'Lisa','skadsla@gmail.com',8000,0.80),(5,1,'Jimmy','bk34d34@gmail.com',8000,0.50),(6,0,'Ximeng','lmkefnew@gmail.com',6000,0.80),(7,1,'Laoxi','mnljewe@gmail.com',6000,0.50),(8,0,'Xiaoxing','asdsa@gmail.com',6000,0.80),(9,1,'Xiaoqi','mkrntc@gmail.com',6000,0.50),(10,0,'Meiqi','msnrgjfn@gmail.com',8000,0.70),(11,0,'Zixuan','kmfehfe@gmail.com',8000,0.70),(12,0,'Xuanyi','knfiurb4r@gmail.com',6000,0.80),(13,1,'Laoxi','mndff473@gmail.com',6000,0.50),(14,0,'Xiaoxing','lknfo4rh@gmail.com',6000,0.80),(15,1,'Xiaoqi','kewnfo4@gmail.com',6000,0.50),(16,0,'Meiqi','i12ednd@gmail.com',8000,0.70),(17,0,'Zixuan','ionqwh3@gmail.com',8000,0.70),(18,0,'Ximeng','kekln44@gmail.com',6000,0.80),(19,1,'Laoxi','lmsxn21@gmail.com',6000,0.50),(20,0,'Xiaoxing','asd233@gmail.com',6000,0.80),(21,2,'Fujing','xvebr4u@gmail.com',6000,0.50),(22,2,'Yammy','nsdknfl@gmail.com',8000,0.50),(23,2,'Dajuan','mxwdnwvd@gmail.com',8000,0.50),(24,2,'Sunnee','nxsasg@gmail.com',6000,0.50),(25,2,'Chaoyue','lmd3nd@gmail.com',6000,0.50),(26,2,'Shanzhi','2wssbahsd@gmail.com',6000,0.50),(27,2,'Zining','sascsax@gmail.com',6000,0.50),(28,2,'Ziting','vaxayew@gmail.com',8000,0.50),(29,2,'Zixuan','bshsdwd@gmail.com',8000,0.50);
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/*!40000 ALTER TABLE `customer` ENABLE KEYS */;
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UNLOCK TABLES;
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--
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-- Table structure for table `product`
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--
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DROP TABLE IF EXISTS `product`;
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/*!40101 SET @saved_cs_client = @@character_set_client */;
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/*!50503 SET character_set_client = utf8mb4 */;
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CREATE TABLE `product` (
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`product_id` int NOT NULL AUTO_INCREMENT,
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`product_name` varchar(255) DEFAULT NULL,
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`product_market_price` double DEFAULT NULL,
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PRIMARY KEY (`product_id`)
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) ENGINE=InnoDB AUTO_INCREMENT=9 DEFAULT CHARSET=utf8;
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/*!40101 SET character_set_client = @saved_cs_client */;
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--
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-- Dumping data for table `product`
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--
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LOCK TABLES `product` WRITE;
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/*!40000 ALTER TABLE `product` DISABLE KEYS */;
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INSERT INTO `product` VALUES (1,'iPhone XS',500),(2,'iPhone XR',600),(3,'Google pixel',500),(4,'Huawei P30 pro',300),(5,'iPhone XS case',10),(6,'iPhone XR case',10),(7,'Google pixel case',15),(8,'Huawei P30 pro case',20);
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/*!40000 ALTER TABLE `product` ENABLE KEYS */;
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UNLOCK TABLES;
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--
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-- Table structure for table `seller`
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--
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DROP TABLE IF EXISTS `seller`;
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/*!40101 SET @saved_cs_client = @@character_set_client */;
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/*!50503 SET character_set_client = utf8mb4 */;
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CREATE TABLE `seller` (
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`seller_id` int NOT NULL AUTO_INCREMENT,
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`seller_name` varchar(255) DEFAULT NULL,
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`seller_wallet` double(11,2) DEFAULT '0.00',
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PRIMARY KEY (`seller_id`)
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) ENGINE=InnoDB AUTO_INCREMENT=7 DEFAULT CHARSET=utf8;
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/*!40101 SET character_set_client = @saved_cs_client */;
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--
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-- Dumping data for table `seller`
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--
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LOCK TABLES `seller` WRITE;
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/*!40000 ALTER TABLE `seller` DISABLE KEYS */;
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INSERT INTO `seller` VALUES (1,'Alice',143600.00),(2,'Bob',29350.00),(3,'Carol',113500.00),(4,'Dave',55900.00),(5,'Eve',49950.00),(6,'Farah',10000.00);
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/*!40000 ALTER TABLE `seller` ENABLE KEYS */;
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UNLOCK TABLES;
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--
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-- Table structure for table `stock`
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--
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DROP TABLE IF EXISTS `stock`;
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/*!40101 SET @saved_cs_client = @@character_set_client */;
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/*!50503 SET character_set_client = utf8mb4 */;
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CREATE TABLE `stock` (
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`id` int NOT NULL AUTO_INCREMENT,
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`product_id` int NOT NULL,
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`product_quality` double(11,2) DEFAULT NULL,
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`seller_id` int NOT NULL,
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`stock_quantity` int DEFAULT '0',
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`stock_cost` double DEFAULT '0',
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`stock_price` double DEFAULT '0',
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PRIMARY KEY (`id`),
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KEY `product_id` (`product_id`),
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KEY `seller_id` (`seller_id`),
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CONSTRAINT `stock_ibfk_1` FOREIGN KEY (`product_id`) REFERENCES `product` (`product_id`),
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CONSTRAINT `stock_ibfk_2` FOREIGN KEY (`seller_id`) REFERENCES `seller` (`seller_id`)
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) ENGINE=InnoDB AUTO_INCREMENT=9 DEFAULT CHARSET=utf8;
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/*!40101 SET character_set_client = @saved_cs_client */;
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--
|
||||
-- Dumping data for table `stock`
|
||||
--
|
||||
|
||||
LOCK TABLES `stock` WRITE;
|
||||
/*!40000 ALTER TABLE `stock` DISABLE KEYS */;
|
||||
INSERT INTO `stock` VALUES (1,1,0.80,1,0,30,500),(2,2,0.70,2,7,20,330),(3,3,0.80,4,50,60,1000),(4,4,0.60,3,38,60,810),(5,5,0.50,5,47,60,1000),(6,6,0.80,1,33,70,900),(7,7,0.70,2,10,60,1000),(8,8,0.80,4,42,60,1000);
|
||||
/*!40000 ALTER TABLE `stock` ENABLE KEYS */;
|
||||
UNLOCK TABLES;
|
||||
|
||||
--
|
||||
-- Table structure for table `transaction`
|
||||
--
|
||||
|
||||
DROP TABLE IF EXISTS `transaction`;
|
||||
/*!40101 SET @saved_cs_client = @@character_set_client */;
|
||||
/*!50503 SET character_set_client = utf8mb4 */;
|
||||
CREATE TABLE `transaction` (
|
||||
`transaction_id` int NOT NULL AUTO_INCREMENT,
|
||||
`transaction_datetime` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
||||
`seller_id` int NOT NULL,
|
||||
`customer_id` int NOT NULL,
|
||||
`product_id` int NOT NULL,
|
||||
`transaction_quantity` int DEFAULT '0',
|
||||
`transaction_amount` double DEFAULT '0',
|
||||
PRIMARY KEY (`transaction_id`),
|
||||
KEY `seller_id` (`seller_id`),
|
||||
KEY `customer_id` (`customer_id`),
|
||||
KEY `product_id` (`product_id`),
|
||||
CONSTRAINT `transaction_ibfk_1` FOREIGN KEY (`seller_id`) REFERENCES `seller` (`seller_id`),
|
||||
CONSTRAINT `transaction_ibfk_2` FOREIGN KEY (`customer_id`) REFERENCES `customer` (`customer_id`),
|
||||
CONSTRAINT `transaction_ibfk_3` FOREIGN KEY (`product_id`) REFERENCES `product` (`product_id`)
|
||||
) ENGINE=InnoDB AUTO_INCREMENT=36 DEFAULT CHARSET=utf8;
|
||||
/*!40101 SET character_set_client = @saved_cs_client */;
|
||||
|
||||
--
|
||||
-- Dumping data for table `transaction`
|
||||
--
|
||||
|
||||
LOCK TABLES `transaction` WRITE;
|
||||
/*!40000 ALTER TABLE `transaction` DISABLE KEYS */;
|
||||
INSERT INTO `transaction` VALUES (1,'2019-03-08 20:16:00',3,2,2,1,480),(2,'2019-04-11 12:48:57',4,1,3,1,400),(3,'2019-04-11 12:48:57',4,1,7,1,80),(4,'2019-05-16 22:57:07',2,1,5,2,200),(5,'2019-07-17 16:23:27',5,3,4,1,300),(6,'2019-07-18 08:59:37',5,3,8,2,160),(7,'2019-09-01 21:00:52',1,2,6,1,95),(8,'2019-11-30 13:58:52',1,1,6,1,1000),(9,'2019-11-30 13:58:52',3,7,4,2,1950),(10,'2019-11-30 13:58:52',4,10,8,1,1000),(11,'2019-11-30 13:58:52',2,5,7,2,1950),(12,'2019-11-30 13:58:52',1,4,1,3,1500),(13,'2019-11-30 13:58:52',3,2,4,3,2800),(14,'2019-11-30 13:58:52',5,25,5,1,1000),(15,'2019-11-30 13:58:52',1,6,1,3,1500),(16,'2019-11-30 13:58:52',1,11,6,3,2950),(17,'2019-11-30 13:58:52',5,19,5,2,1950),(18,'2019-11-30 13:58:52',2,29,7,1,1000),(19,'2019-11-30 13:58:52',2,13,7,4,3950),(20,'2019-11-30 13:58:52',1,24,6,2,1950),(21,'2019-11-30 13:58:52',1,12,1,3,1500),(22,'2019-11-30 13:58:52',4,21,8,3,2950),(23,'2019-11-30 13:58:52',4,8,8,3,2950),(24,'2019-11-30 13:58:52',1,9,1,5,2450),(25,'2019-11-30 13:58:52',3,15,4,5,4950),(26,'2019-11-30 13:58:52',2,28,7,3,2950),(27,'2019-11-30 13:58:52',3,22,4,2,1950),(28,'2019-11-30 13:58:52',1,20,1,1,500),(29,'2019-11-30 13:58:52',4,23,8,1,1000),(30,'2019-11-30 13:58:52',1,17,1,5,2450),(31,'2019-11-30 13:58:52',1,18,6,1,1000),(32,'2019-11-30 13:58:52',2,16,2,3,900),(33,'2019-11-30 13:58:52',1,3,6,4,3950),(34,'2019-11-30 13:58:52',1,25,6,1,1000),(35,'2019-11-30 13:58:52',1,14,6,5,4950);
|
||||
/*!40000 ALTER TABLE `transaction` 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 2020-07-21 17:40:55
|
||||
Loading…
Reference in New Issue