Mysql commands
To login (from unix shell) use -h only if needed.
# [mysql dir]mysql -u username -p
Create a database on the sql server.
mysql> create database [databasename];
List all databases on the sql server.
mysql> show databases;
Switch to a database.
mysql> use [db name];
To see all the tables in the db.
mysql> show tables;
To see database’s field formats.
mysql> describe [table name];
To delete a db.
mysql> drop database [database name];
To delete a table.
mysql> drop table [table name];
Show all data in a table.
mysql> SELECT * FROM [table name];
Returns the columns and column information pertaining to the designated table.
mysql> show columns from [table name];
Show certain selected rows with the value “whatever”.
mysql> SELECT * FROM [table name] WHERE [field name] = “whatever”;
Show all records containing the name “Bob” AND the phone number ’3444444′.
mysql> SELECT * FROM [table name] WHERE name = “Bob” AND phone_number = ’3444444′;
Show all records not containing the name “Bob” AND the phone number ’3444444′ order by the phone_number field.
mysql> SELECT * FROM [table name] WHERE name != “Bob” AND phone_number = ’3444444′ order by phone_number;
Show all records starting with the letters ‘bob’ AND the phone number ’3444444′.
mysql> SELECT * FROM [table name] WHERE name like “Bob%” AND phone_number = ’3444444′;
Show all records starting with the letters ‘bob’ AND the phone number ’3444444′ limit to records 1 through 5.
mysql> SELECT * FROM [table name] WHERE name like “Bob%” AND phone_number = ’3444444′ limit 1,5;
Use a regular expression to find records. Use “REGEXP BINARY” to force case-sensitivity. This finds any record beginning with a.
mysql> SELECT * FROM [table name] WHERE rec RLIKE “^a”;
Show unique records.
mysql> SELECT DISTINCT [column name] FROM [table name];
Show selected records sorted in an ascending (asc) or descending (desc).
mysql> SELECT [col1],[col2] FROM [table name] ORDER BY [col2] DESC;
Return number of rows.
mysql> SELECT COUNT(*) FROM [table name];
Sum column.
mysql> SELECT SUM(*) FROM [table name];