MySQL Not In

MySQL Not In is used to updates only those records of the table whose fields 'id' are not specified in the Where Clause. This is the efficient mean of retrieving only those records which you want to display.

Understand with Example

The Tutorial illustrate an example from 'MySQL Not In'. To understand and grasp the example we create a table 'Employee' that has the required fieldnames and datatypes respectively.

Query for creating table name Employee:

mysql> CREATE TABLE Employee(
    ->              Empid int(10),
    ->              Empname varchar(60),
    ->              Salary int(90),
    ->              DOB date
    ->            );
Query OK, 0 rows affected (0.01 sec)

Query for  insertion of data in table:

The Query used for inserting the records is 'insert into' that adds the records to the table 'Employee'. 

mysql>     INSERT INTO Employee (Empid,Empname,Salary,DOB) VALUES
    ->     (01,'Habib',2014,20041202),
    ->     (02,'Karan',4021,20030411),
    ->     (03,'Samia', 22,20080223),
    ->     (04,'Hui Ling', 25,20081015),
    ->     (05,'Yumie', 29,19990126);
Query OK, 5 rows affected (0.00 sec)
Records: 5  Duplicates: 0  Warnings: 0

Query to view data inserted in table:

The Select Query is used to view the data in table 'employee'.

mysql> select * from employee;

Output:-

+-------+----------+--------+------------+
| Empid | Empname  | Salary | DOB        |
+-------+----------+--------+------------+
| 1     | Habib    | 2014   | 2004-12-02 |
| 2     | Karan    | 4021   | 2003-04-11 |
| 3     | Samia    | 22     | 2008-02-23 |
| 4     | Hui Ling | 25     | 2008-10-15 |
| 5     | Yumie    | 29     | 1999-01-26 |
+-------+----------+--------+------------+
5 rows in set (0.00 sec)

Query to use  Mysql not in :

The Query below would help you to update records which are not in the EmpId '2,3,4,5' of Where Clause.

mysql>  UPDATE employee SET Empname='Girish' WHERE EmpId NOT IN (2,3,4,5);
Query OK, 1 row affected (0.02 sec)
Rows matched: 1  Changed: 1  Warnings: 0

Output:

mysql> select * from employee;
+-------+----------+--------+------------+
| Empid | Empname  | Salary | DOB        |
+-------+----------+--------+------------+
| 1     | Girish   | 2014   | 2004-12-02 |
| 2     | Karan    | 4021   | 2003-04-11 |
| 3     | Samia    | 22     | 2008-02-23 |
| 4     | Hui Ling | 25     | 2008-10-15 |
| 5     | Yumie    | 29     | 1999-01-26 |
+-------+----------+--------+------------+
5 rows in set (0.00 sec)

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