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How to form a MySQL Conditional Insert?
For this, you can insert using MySQL dual table. Let us create a table to understand the concept conditional insert. The query to create a table is as follows −
mysql> create table ConditionalInsertDemo -> ( -> UserId int, -> TotalUser int, -> NumberOfItems int -> ); Query OK, 0 rows affected (0.58 sec)
Insert some records in the table using insert command. The query is as follows −
mysql> insert into ConditionalInsertDemo values(101,560,780); Query OK, 1 row affected (0.19 sec) mysql> insert into ConditionalInsertDemo values(102,660,890); Query OK, 1 row affected (0.20 sec) mysql> insert into ConditionalInsertDemo values(103,450,50); 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 ConditionalInsertDemo;
Output
+--------+-----------+---------------+ | UserId | TotalUser | NumberOfItems | +--------+-----------+---------------+ | 101 | 560 | 780 | | 102 | 660 | 890 | | 103 | 450 | 50 | +--------+-----------+---------------+ 3 rows in set (0.00 sec)
Now you have 3 records in the table. You can insert the next records with conditional insert with the help of dual table. The query inserts records in the table whenever UserId=104 and NumberOfItems=3500 must not be present in the table already. The conditional insert query is as follows −
mysql> insert into ConditionalInsertDemo(UserId,TotalUser,NumberOfItems) -> select 104,900,3500 from dual -> WHERE NOT EXISTS (SELECT * FROM ConditionalInsertDemo -> where UserId=104 and NumberOfItems=3500); Query OK, 1 row affected (0.18 sec) Records: 1 Duplicates: 0 Warnings: 0
Now you can check the table, the record is inserted or not. The query to display all records is as follows −
mysql> select *from ConditionalInsertDemo;
Output
+--------+-----------+---------------+ | UserId | TotalUser | NumberOfItems | +--------+-----------+---------------+ | 101 | 560 | 780 | | 102 | 660 | 890 | | 103 | 450 | 50 | | 104 | 900 | 3500 | +--------+-----------+---------------+ 4 rows in set (0.00 sec)
Updated on: 30-Jul-2019
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