To exclude records, use MySQL NOT IN(). Let us first create a table −mysql> create table DemoTable (    Id int ); Query OK, 0 rows affected (0.64 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values(1); Query OK, 1 row affected (0.16 sec) mysql> ... Read More

Let us first create a table −mysql> create table DemoTable (    Name varchar(40),    Position int ); Query OK, 0 rows affected (1.17 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values('Chris', 90); Query OK, 1 row affected (0.20 sec) mysql> insert into DemoTable ... Read More

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 ... Read More

To find a match from records, use MySQL IN(). Let us first create a table −mysql> create table DemoTable (    Id int,    FirstName varchar(20),    Gender ENUM('Male', 'Female') ); Query OK, 0 rows affected (1.73 sec)Insert some records in the table using insert command −mysql> insert into DemoTable ... Read More

For this, use REGEXP. For example, characters J, A, V and A. Let us first create a table −mysql> create table DemoTable (    Value varchar(50) ); Query OK, 0 rows affected (3.92 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values('XYSJGHAKLMVDFFSA'); Query OK, 1 ... Read More

For this, you can use COUNT() along with CASE STATEMENT. Let us first create a table −mysql> create table DemoTable (    Score int ); Query OK, 0 rows affected (0.71 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values(40); Query OK, 1 row affected ... Read More

For this, use STR_TO_DATE(). Let us first create a table −mysql> create table DemoTable (    DueDate varchar(60) ) ; Query OK, 0 rows affected (0.71 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values('12-AUG-2016'); Query OK, 1 row affected (0.11 sec) mysql> insert into ... Read More

For this, you can use GROUP_CONCAT() along with GROUP BY clause. Both are used to group concat duplicates and display in a single line. Let us first create a table −mysql> create table DemoTable (    StudentFavouriteSubject varchar(40),    StudentName varchar(40) ) ; Query OK, 0 rows affected (0.75 sec)Insert ... Read More

Yes, you can search for particular numbers using the MySQL FIND_IN_SET(). Let us first create a table −mysql> create table DemoTable (    ListOfNumbers varchar(100) ); Query OK, 0 rows affected (1.24 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values('784, 746, 894, 344'); Query ... Read More

For this, use GROUP_CONCAT(). For only 1 values, work with MySQL WHERE clause. Let us first create a table −mysql> create table DemoTable (    PlayerName varchar(40),    PlayerStatus tinyint(1) ); Query OK, 0 rows affected (0.60 sec)Insert some records in the table using insert command −mysql> insert into DemoTable ... Read More