For this, use aggregate function COUNT() and GROUP BY to group those specific records for occurrences. Let us first create a table −
mysql> create table DemoTable ( StudentId int NOT NULL AUTO_INCREMENT PRIMARY KEY, StudentSubject varchar(40) ); Query OK, 0 rows affected (5.03 sec)
Insert some records in the table using insert command −
mysql> insert into DemoTable(StudentSubject) values('MySQL'); Query OK, 1 row affected (0.78 sec) mysql> insert into DemoTable(StudentSubject) values('Java'); Query OK, 1 row affected (0.39 sec) mysql> insert into DemoTable(StudentSubject) values('MySQL'); Query OK, 1 row affected (1.12 sec) mysql> insert into DemoTable(StudentSubject) values('MongoDB'); Query OK, 1 row affected (0.24 sec) mysql> insert into DemoTable(StudentSubject) values('Java'); Query OK, 1 row affected (0.45 sec)
Display all records from the table using select statement −
mysql> select *from DemoTable;
This will produce the following output −
+-----------+----------------+ | StudentId | StudentSubject | +-----------+----------------+ | 1 | MySQL | | 2 | Java | | 3 | MySQL | | 4 | MongoDB | | 5 | Java | +-----------+----------------+ 5 rows in set (0.00 sec)
Following is the query to count the occurrences of specific records (duplicate) in one MySQL query −
mysql> select StudentSubject,count(StudentId) from DemoTable group by StudentSubject;
This will produce the following output −
+----------------+------------------+ | StudentSubject | count(StudentId) | +----------------+------------------+ | MySQL | 2 | | Java | 2 | | MongoDB | 1 | +----------------+------------------+ 3 rows in set (0.00 sec)