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Difference between two selects in MySQL?
You can use subqueries for difference between two selects in MySQL. The syntax is as follows:
SELECT *FROM yourTableName where yourColumnName NOT IN(SELECT yourColumnName FROM youTableName WHERE yourCondition;
To understand the above syntax, let us create a table. The query to create a table is as follows:
mysql> create table DifferenceSelectDemo -> ( -> Id int NOT NULL AUTO_INCREMENT, -> UserId int, -> UserValue int, -> PRIMARY KEY(Id) -> ); Query OK, 0 rows affected (0.87 sec)
Insert some records in the table using insert command. The query is as follows:
mysql> insert into DifferenceSelectDemo(UserId,UserValue) values(10,10); Query OK, 1 row affected (0.24 sec) mysql> insert into DifferenceSelectDemo(UserId,UserValue) values(10,20); Query OK, 1 row affected (0.15 sec) mysql> insert into DifferenceSelectDemo(UserId,UserValue) values(20,30); Query OK, 1 row affected (0.17 sec) mysql> insert into DifferenceSelectDemo(UserId,UserValue) values(20,20); Query OK, 1 row affected (0.19 sec) mysql> insert into DifferenceSelectDemo(UserId,UserValue) values(30,40); Query OK, 1 row affected (0.14 sec) mysql> insert into DifferenceSelectDemo(UserId,UserValue) values(30,20); Query OK, 1 row affected (0.15 sec)
Display all records from the table using select statement. The query is as follows:
mysql> select *from DifferenceSelectDemo;
The following is the output:
+----+--------+-----------+ | Id | UserId | UserValue | +----+--------+-----------+ | 1 | 10 | 10 | | 2 | 10 | 20 | | 3 | 20 | 30 | | 4 | 20 | 20 | | 5 | 30 | 40 | | 6 | 30 | 20 | +----+--------+-----------+ 6 rows in set (0.02 sec)
Here is the query to get the difference between two selects:
mysql> select *from DifferenceSelectDemo -> WHERE UserValue NOT IN (select UserValue from DifferenceSelectDemo where Id=1);
The following is the output:
+----+--------+-----------+ | Id | UserId | UserValue | +----+--------+-----------+ | 2 | 10 | 20 | | 3 | 20 | 30 | | 4 | 20 | 20 | | 5 | 30 | 40 | | 6 | 30 | 20 | +----+--------+-----------+ 5 rows in set (0.09 sec)
Updated on: 30-Jul-2019
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