For this, use ORDER BY FIELD(). Let us first create a table −mysql> create table DemoTable(    ClientId varchar(40),    ClientName varchar(40) ); Query OK, 0 rows affected (0.55 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values('987_John', 'John'); Query OK, 1 row affected (0.33 ... Read More

Let us first create a table −mysql> create table DemoTable(    ArrivalDate timestamp ); Query OK, 0 rows affected (1.96 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values('2019-09-14 17:25:00'); Query OK, 1 row affected (0.26 sec) mysql> insert into DemoTable values('2019-09-13 17:25:00'); Query OK, ... Read More

Let us first create a table −mysql> create table DemoTable (    StudentId int,    StudentFirstName varchar(100),    StudentLastName varchar(100) ); Query OK, 0 rows affected (0.54 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values(1000, 'Adam', 'Smith'); Query OK, 1 row affected (0.17 sec) ... Read More

For this, use SUM() along with GROUP BY. Let us first create a table −mysql> create table DemoTable (    CustomerName varchar(100),    Product_1_Price int,    Product_2_Price int ); Query OK, 0 rows affected (0.73 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values('John', 67, ... Read More

Let us first create a table −mysql> create table DemoTable (    FirstName varchar(100) ); Query OK, 0 rows affected (0.96 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values('Chris'); Query OK, 1 row affected (0.14 sec) mysql> insert into DemoTable values('Robert'); Query OK, ... Read More

For this, use aggregate function count(*) to count to GROUP BY to group. Let us first create a table −mysql> create table DemoTable (    UserName varchar(100),    UserPostMessage text ); Query OK, 0 rows affected (0.54 sec)Insert some records in the table using insert command −mysql> insert into DemoTable ... Read More

Let us first create a table −mysql> create table DemoTable (    Id int,    Name varchar(100) ); Query OK, 0 rows affected (0.94 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values(10, 'Chris'); Query OK, 1 row affected (0.16 sec) mysql> insert into DemoTable ... Read More

For this, use aggregate function MIN() along with WHERE clause. Let us first create a table −mysql> create table DemoTable (    Number int ); Query OK, 0 rows affected (0.54 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values(11); Query OK, 1 row affected ... Read More

Let us first create a table −mysql> create table DemoTable (    UserName varchar(100) ); Query OK, 0 rows affected (0.69 sec)Insert some records in the table using insert command −mysql> insert into DemoTable values('Smith_John'); Query OK, 1 row affected (0.17 sec) mysql> insert into DemoTable values('Smith_Adam'); Query OK, 1 ... Read More

For this, you can use BETWEEN keyword. Let us first create a table −mysql> create table DemoTable (    ExpiryDate date ); Query OK, 0 rows affected (0.55 sec)Note − Let’s say the current date is 2019-08-18.Insert some records in the table using insert command −mysql> insert into DemoTable values('2018-01-21'); ... Read More