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Delete more than one rows from a table using id in MySQL?
You can use IN statement to delete more than one rows from a table using id in MySQL. The syntax is as follows −
delete from yourTableName where yourColumnName in(value1,value2,.....valueN);
To understand the above syntax, let us create a table. The following is the query to create a table.
mysql> create table DeleteManyRows −> ( −> Id int, −> Name varchar(200), −> Age int −> ); Query OK, 0 rows affected (3.35 sec)
Insert some records in the table with the help of insert command. The query is as follows −
mysql> insert into DeleteManyRows values(1,'John',23); Query OK, 1 row affected (0.66 sec) mysql> insert into DeleteManyRows values(2,'Johnson',22); Query OK, 1 row affected (0.48 sec) mysql> insert into DeleteManyRows values(3,'Sam',20); Query OK, 1 row affected (0.39 sec) mysql> insert into DeleteManyRows values(4,'David',26); Query OK, 1 row affected (0.35 sec) mysql> insert into DeleteManyRows values(5,'Carol',21); Query OK, 1 row affected (0.10 sec) mysql> insert into DeleteManyRows values(6,'Smith',29); Query OK, 1 row affected (0.14 sec)
Display all records from the table with the help of select statement. The query is as follows −
mysql> select *from DeleteManyRows;
The following is the output −
+------+---------+------+ | Id | Name | Age | +------+---------+------+ | 1 | John | 23 | | 2 | Johnson | 22 | | 3 | Sam | 20 | | 4 | David | 26 | | 5 | Carol | 21 | | 6 | Smith | 29 | +------+---------+------+ 6 rows in set (0.00 sec)
Here is the query to delete rows from the table with the help of IN statement. The query is as follows −
mysql> delete from DeleteManyRows where Id in(1,2,3,4); Query OK, 4 rows affected (0.25 sec)
Let us check how many rows are now present after deleting multiple rows like 1,2,3,4. The query is as follows −
mysql> select *from DeleteManyRows;
The following is the output −
+------+-------+------+ | Id | Name | Age | +------+-------+------+ | 5 | Carol | 21 | | 6 | Smith | 29 | +------+-------+------+ 2 rows in set (0.00 sec)
Updated on: 30-Jul-2019
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