MySQL CLI Cheatsheet
Rahmat Subandi / 25 August, 2021
4 min read • ––– views •
Greetings!
Hello everyone, on this occasion and in this discussion I want to share a brief cheat sheet regarding the MYSQL CLI command. Let's get started! 🐱💻
Getting started
Related tutorials
Tools
- TablePlus
- DataGrip
- Sequel Pro (Only MacOS)
- Navicat
Cheatsheet
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 [table];
List all indexes on a table:
show index from [table];
Create new table with columns:
CREATE TABLE [table] ([column] VARCHAR(120), [another-column] DATETIME);
Adding a column:
ALTER TABLE [table] ADD COLUMN [column] VARCHAR(120);
Adding a column with an unique, auto-incrementing ID:
ALTER TABLE [table] ADD COLUMN [column] int NOT NULL AUTO_INCREMENT PRIMARY KEY;
Inserting a record:
INSERT INTO [table] ([column], [column]) VALUES ('[value]', '[value]');
MySQL function for datetime input:
NOW()
Selecting records:
SELECT * FROM [table];
Explain records:
EXPLAIN SELECT * FROM [table];
Selecting parts of records:
SELECT [column], [another-column] FROM [table];
Counting records:
SELECT COUNT([column]) FROM [table];
Counting and selecting grouped records:
SELECT *, (SELECT COUNT([column]) FROM [table]) AS count FROM [table] GROUP BY [column];
Selecting specific records:
SELECT * FROM [table] WHERE [column] = [value];
// (Selectors: <, >, !=; combine multiple selectors with AND, OR)
Select records containing [value]
:
SELECT * FROM [table] WHERE [column] LIKE '%[value]%';
Select records starting with [value]
:
SELECT * FROM [table] WHERE [column] LIKE '[value]%';
Select records starting with val
and ending with ue
:
SELECT * FROM [table] WHERE [column] LIKE '[val_ue]';
Select a range:
SELECT * FROM [table] WHERE [column] BETWEEN [value1] and [value2];
Select with custom order and only limit:
SELECT * FROM [table] WHERE [column] ORDER BY [column] ASC LIMIT [value];
// (Order: DESC, ASC)
Updating records:
UPDATE [table] SET [column] = '[updated-value]' WHERE [column] = [value];
Deleting records:
DELETE FROM [table] WHERE [column] = [value];
Delete all records from a table (without dropping the table itself):
DELETE FROM [table];
// (This also resets the incrementing counter for auto generated columns like an id column.)
Delete all records in a table:
truncate table [table];
Removing table columns:
ALTER TABLE [table] DROP COLUMN [column];
Deleting tables:
DROP TABLE [table];
Deleting databases:
DROP DATABASE [database];
Custom column output names:
SELECT [column] AS [custom-column] FROM [table];
Export a database dump (more info here):
mysqldump -u [username] -p [database] > db_backup.sql
Use --lock-tables=false
option for locked tables (more info here).
Import a database dump (more info here):
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 [table];
Count total number of [column]
and group by [category-column]
:
SELECT [category-column], SUM([column]) FROM [table] GROUP BY [category-column];
Get largest value in [column]
:
SELECT MAX([column]) FROM [table];
Get smallest value:
SELECT MIN([column]) FROM [table];
Get average value:
SELECT AVG([column]) FROM [table];
Get rounded average value and group by [category-column]
:
SELECT [category-column], ROUND(AVG([column]), 2) FROM [table] 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';