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MySQL - OPTIMIZE TABLE Statement
When we perform several changes on an existing table (like insert, update, delete etc.) the physical storage of the table changes resulting performance degradation.
MySQL OPTIMIZE TABLE Statement
The MySQL OPTIMIZE table helps you to optimize the table storage space. It reorganizes the storage data in a way that increases the Input Output efficiency and reduces the storage space. To execute this statement, you need SELECT and INSERT privileges.
Syntax
Following is the syntax of the MySQL OPTIMIZE TABLE Statement −
OPTIMIZE [NO_WRITE_TO_BINLOG | LOCAL] TABLE tbl_name [, tbl_name] ...
Example
Assume we have created a table named EMPLOYEE with the CREATE statement as shown below −
CREATE TABLE EMPLOYEE( FIRST_NAME CHAR(20) NOT NULL, LAST_NAME CHAR(20), AGE INT, SEX CHAR(1), INCOME FLOAT );
And if we have inserted 4 records in to it using INSERT statements as −
INSERT INTO EMPLOYEE VALUES ('Krishna', 'Sharma', 19, 'M', 2000), ('Raj', 'Kandukuri', 20, 'M', 7000), ('Ramya', 'Ramapriya', 25, 'F', 5000), ('Mac', 'Mohan', 26, 'M', 2000);
Now, let us increase the age of all male employees by one year −
UPDATE EMPLOYEE SET AGE = AGE + 1 WHERE SEX = 'M'; Rows matched: 3 Changed: 3 Warnings: 0
And, following statement deletes records from the above table −
DELETE FROM EMPLOYEE WHERE FIRST_NAME = 'Mac';
Following query optimizes the above created table −
OPTIMIZE TABLE EMPLOYEE\G;
Output
The above query produces the following output −
************ 1. row ************ Table: mydb.employee Op: optimize Msg_type: status Msg_text: OK 2 rows in set (2.74 sec)
Analyzing multiple tables
You can also optimize multiple tables and get the results using the OPTIMIZE TABLE Statement.
Example
Assume we have created three new tables as shown below −
CREATE TABLE Test1(ID INT, Name VARCHAR(255)); CREATE TABLE Test2(ID INT, Name VARCHAR(255)); CREATE TABLE Test3(ID INT, Name VARCHAR(255));
Following query optimizes all these tables and displays the result −
OPTIMIZE TABLE Test1, Test2, Test3\G;
Output
Following is the output of the above query −
********** 1. row ********** Table: mydb.test1 Op: optimize Msg_type: note Msg_text: Table does not support optimize, doing recreate + analyze instead ********** 2. row ********** Table: mydb.test1 Op: optimize Msg_type: status Msg_text: OK ********** 3. row ********** Table: mydb.test2 Op: optimize Msg_type: note Msg_text: Table does not support optimize, doing recreate + analyze instead ********** 4. row ********** Table: mydb.test2 Op: optimize Msg_type: status Msg_text: OK ********** 5. row ********** Table: mydb.test3 Op: optimize Msg_type: note Msg_text: Table does not support optimize, doing recreate + analyze instead ********** 6. row ********** Table: mydb.test3 Op: optimize Msg_type: status Msg_text: OK 6 rows in set (4.52 sec)