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Add a temporary column in MySQL where the values depend on another column?
You can use CASE statement for this and set conditions to get result in the temporary column.
Let us first create a table −
mysql> create table DemoTable ( EmployeeId int NOT NULL AUTO_INCREMENT PRIMARY KEY, EmployeeName varchar(20), EmployeeSalary int, EmployeeExperience int ); Query OK, 0 rows affected (0.64 sec)
Following is the query to insert some records in the table using insert command −
mysql> insert into DemoTable(EmployeeName,EmployeeSalary,EmployeeExperience) values('Larry',4500,5);
Query OK, 1 row affected (0.20 sec)
mysql> insert into DemoTable(EmployeeName,EmployeeSalary,EmployeeExperience) values('Mike',130000,8);
Query OK, 1 row affected (0.21 sec)
mysql> insert into DemoTable(EmployeeName,EmployeeSalary,EmployeeExperience) values('Sam',11000,5);
Query OK, 1 row affected (0.15 sec)
mysql> insert into DemoTable(EmployeeName,EmployeeSalary,EmployeeExperience) values('Carol',140000,8) ;
Query OK, 1 row affected (0.18 sec)Following is the query to display records from the table using select command −
mysql> select *from DemoTable;
This will produce the following output −
+------------+--------------+----------------+--------------------+ | EmployeeId | EmployeeName | EmployeeSalary | EmployeeExperience | +------------+--------------+----------------+--------------------+ | 1 | Larry | 4500 | 5 | | 2 | Mike | 130000 | 8 | | 3 | Sam | 11000 | 5 | | 4 | Carol | 140000 | 8 | +------------+--------------+----------------+--------------------+ 4 rows in set (0.00 sec)
Following is the query to add a temporary column in MySQL where the values depend on another column. Here the temporary column is NewSalary −
mysql> select EmployeeId,EmployeeName,EmployeeSalary,EmployeeExperience, case when EmployeeExperience=5 then EmployeeSalary+10000 when EmployeeExperience=8 then EmployeeSalary+20000 else null end as NewSalary from DemoTable;
This will produce the following output −
+------------+--------------+----------------+--------------------+-----------+ | EmployeeId | EmployeeName | EmployeeSalary | EmployeeExperience | NewSalary | +------------+--------------+----------------+--------------------+-----------+ | 1 | Larry | 4500 | 5 | 14500 | | 2 | Mike | 130000 | 8 | 150000 | | 3 | Sam | 11000 | 5 | 21000 | | 4 | Carol | 140000 | 8 | 160000 | +------------+--------------+----------------+--------------------+-----------+ 4 rows in set (0.00 sec)
Updated on: 30-Jul-2019
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