MySQL Command Line Cheatsheet

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MySQL CLI Cheatsheet. GitHub Gist: instantly share code, notes, and snippets.

Приступая к работе​

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Связанные учебники​

• Для просмотра ссылки Войди или Зарегистрируйся
• Для просмотра ссылки Войди или Зарегистрируйся
• Для просмотра ссылки Войди или Зарегистрируйся

Инструменты​

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• Для просмотра ссылки Войди или Зарегистрируйся (заброшенный)

 

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Commands​

Access monitor: mysql -u [username] -p; (will prompt for password)

Show all databases: show databases;

Access database: mysql -u [username] -p [database] (will prompt for password)

Create new database: create database [database];

Select database: use [database];

Determine what database is in use: select database();

Show all tables: show tables;

Show table structure: describe

;

List all indexes on a table: show index from

;

Create new table with columns: CREATE TABLE

([column] VARCHAR(120), [another-column] DATETIME);

Adding a column: ALTER TABLE

ADD COLUMN [column] VARCHAR(120);

Adding a column with an unique, auto-incrementing ID: ALTER TABLE

ADD COLUMN [column] int NOT NULL AUTO_INCREMENT PRIMARY KEY;

Inserting a record: INSERT INTO

([column], [column]) VALUES ('[value]', '[value]');

MySQL function for datetime input: NOW()

Selecting records: SELECT * FROM

;

Explain records: EXPLAIN SELECT * FROM

;

Selecting parts of records: SELECT [column], [another-column] FROM

;

Counting records: SELECT COUNT([column]) FROM

;

Counting and selecting grouped records: SELECT *, (SELECT COUNT([column]) FROM

) AS count FROM

GROUP BY [column];

Selecting specific records: SELECT * FROM

WHERE [column] = [value]; (Selectors: <, >, !=; combine multiple selectors with AND, OR)

Select records containing [value]: SELECT * FROM

WHERE [column] LIKE '%[value]%';

Select records starting with [value]: SELECT * FROM

WHERE [column] LIKE '[value]%';

Select records starting with val and ending with ue: SELECT * FROM

WHERE [column] LIKE '[val_ue]';

Select a range: SELECT * FROM

WHERE [column] BETWEEN [value1] and [value2];

Select with custom order and only limit: SELECT * FROM

WHERE [column] ORDER BY [column] ASC LIMIT [value]; (Order: DESC, ASC)

Updating records: UPDATE

SET [column] = '[updated-value]' WHERE [column] = [value];

Deleting records: DELETE FROM

WHERE [column] = [value];

Delete all records from a table (without dropping the table itself): DELETE FROM

; (This also resets the incrementing counter for auto generated columns like an id column.)

Delete all records in a table: truncate table

;

Removing table columns: ALTER TABLE

DROP COLUMN [column];

Deleting tables: DROP TABLE

;

Deleting databases: DROP DATABASE [database];

Custom column output names: SELECT [column] AS [custom-column] FROM

;

Export a database dump (more info Для просмотра ссылки Войди или Зарегистрируйся ): mysqldump -u [username] -p [database] > db_backup.sql

Use --lock-tables=false option for locked tables (more info Для просмотра ссылки Войди или Зарегистрируйся ).

Import a database dump (more info Для просмотра ссылки Войди или Зарегистрируйся ): mysql -u [username] -p -h localhost [database] < db_backup.sql

Logout: exit;

Aggregate functions​

Select but without duplicates: SELECT distinct name, email, acception FROM owners WHERE acception = 1 AND date >= 2015-01-01 00:00:00

Calculate total number of records: SELECT SUM([column]) FROM

;

Count total number of [column] and group by [category-column]: SELECT [category-column], SUM([column]) FROM

GROUP BY [category-column];

Get largest value in [column]: SELECT MAX([column]) FROM

;

Get smallest value: SELECT MIN([column]) FROM

;

Get average value: SELECT AVG([column]) FROM

;

Get rounded average value and group by [category-column]: SELECT [category-column], ROUND(AVG([column]), 2) FROM

GROUP BY [category-column];

Multiple tables​

Select from multiple tables: SELECT [table1].[column], [table1].[another-column], [table2].[column] FROM [table1], [table2];

Combine rows from different tables: SELECT * FROM [table1] INNER JOIN [table2] ON [table1].[column] = [table2].[column];

Combine rows from different tables but do not require the join condition: SELECT * FROM [table1] LEFT OUTER JOIN [table2] ON [table1].[column] = [table2].[column]; (The left table is the first table that appears in the statement.)

Rename column or table using an alias : SELECT [table1].[column] AS '[value]', [table2].[column] AS '[value]' FROM [table1], [table2];

Users functions​

List all users: SELECT User,Host FROM mysql.user;

Create new user: CREATE USER 'username'@'localhost' IDENTIFIED BY 'password';

Grant ALL access to user for * tables: GRANT ALL ON database.* TO 'user'@'localhost';

Find out the IP Address of the Mysql Host​

SHOW VARIABLES WHERE Variable_name = 'hostname'; ( Для просмотра ссылки Войди или Зарегистрируйся )

 

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Check the default character set and collation​

For a given database:​

USE Music;
SELECT @@character_set_database, @@collation_database;

For Schemas via Querying the information_schema.schemata Table:​

This eliminates the need to change the default database (like in the previous statement)

SELECT default_character_set_name, default_collation_name FROM information_schema.SCHEMATA
WHERE schema_name = "schemaname";

For Tables:​

SELECT CCSA.character_set_name FROM information_schema.`TABLES` T,
information_schema.`COLLATION_CHARACTER_SET_APPLICABILITY` CCSA
WHERE CCSA.collation_name = T.table_collation
AND T.table_schema = "schemaname"
AND T.table_name = "tablename";

For Columns:​

SELECT character_set_name FROM information_schema.`COLUMNS`
WHERE table_schema = "schemaname"
AND table_name = "tablename"
AND column_name = "columnname";