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MySQL index on column of int type?
Adding an index on column of int type is a good choice to run your query faster whenever your table has lots of records.
If your table has less records then it is not a good choice to use index on column of int type.
To understand the concept, let us create a table. The query to create a table is as follows −
mysql> create table indexOnIntColumnDemo -> ( -> UserId int, -> UserName varchar(20), -> UserAge int, -> INDEX(UserId) -> ); Query OK, 0 rows affected (0.85 sec)
Now check the description of table −
mysql> desc indexOnIntColumnDemo;
Here is the output −
+----------+-------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +----------+-------------+------+-----+---------+-------+ | UserId | int(11) | YES | MUL | NULL | | | UserName | varchar(20) | YES | | NULL | | | UserAge | int(11) | YES | | NULL | | +----------+-------------+------+-----+---------+-------+ 3 rows in set (0.04 sec)
Now you can insert some records in the table using insert command. The query is as follows −
mysql> insert into indexOnIntColumnDemo values(1001,'John',23); Query OK, 1 row affected (0.22 sec) mysql> insert into indexOnIntColumnDemo values(1002,'Sam',25); Query OK, 1 row affected (0.14 sec) mysql> insert into indexOnIntColumnDemo values(1003,'Carol',22); Query OK, 1 row affected (0.24 sec) mysql> insert into indexOnIntColumnDemo values(1004,'Mike',26); Query OK, 1 row affected (0.14 sec)
Now you can display all records from the table using select statement. The query is as follows −
mysql> select *from indexOnIntColumnDemo;
The following is the output −
+--------+----------+---------+ | UserId | UserName | UserAge | +--------+----------+---------+ | 1001 | John | 23 | | 1002 | Sam | 25 | | 1003 | Carol | 22 | | 1004 | Mike | 26 | +--------+----------+---------+ 4 rows in set (0.00 sec)
To run it faster, use the condition on index column of int type
mysql> select *from indexOnIntColumnDemo where UserId=1004;
The output is as follows
+--------+----------+---------+ | UserId | UserName | UserAge | +--------+----------+---------+ | 1004 | Mike | 26 | +--------+----------+---------+ 1 row in set (0.00 sec)
Updated on: 30-Jul-2019
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