To implement a query like MySQL IN(), you need to use COUNT(), IF() along with LIKE operator. Let us first create a table −
mysql> create table DemoTable -> ( -> Subject varchar(80) -> ); Query OK, 0 rows affected (0.58 sec)
Insert some records in the table using insert command −
mysql> insert into DemoTable values('MySQLMongoDB'); Query OK, 1 row affected (0.86 sec) mysql> insert into DemoTable values('MySQL'); Query OK, 1 row affected (0.12 sec) mysql> insert into DemoTable values('JavaMySQL'); Query OK, 1 row affected (0.18 sec) mysql> insert into DemoTable values('MongoDB'); Query OK, 1 row affected (0.20 sec) mysql> insert into DemoTable values('Java'); Query OK, 1 row affected (0.19 sec)
Display all records from the table using select statement −
mysql> select *from DemoTable;
This will produce the following output −
+--------------+ | Subject | +--------------+ | MySQLMongoDB | | MySQL | | JavaMySQL | | MongoDB | | Java | +--------------+ 5 rows in set (0.00 sec)
Here is the query for implementing LIKE as IN() −
mysql> select -> count(if(Subject like '%MySQL%',1,NULL)) as MySQLCount, -> count(if(Subject like '%Java%',1,NULL)) as JavaCount, -> count(if(Subject like '%MongoDB%',1,NULL)) as MongoDBCount -> from DemoTable;
This will produce the following output −
+------------+-----------+--------------+ | MySQLCount | JavaCount | MongoDBCount | +------------+-----------+--------------+ | 3 | 2 | 2 | +------------+-----------+--------------+ 1 row in set (0.00 sec)