For this, use CASE statement with UPDATE command. Let us first create a table −mysql> create table DemoTable1874    (    Id int NOT NULL AUTO_INCREMENT PRIMARY KEY,    Amount varchar(100) ); Query OK, 0 rows affected (0.00 sec)Insert some records in the table using insert command −mysql> insert into DemoTable1874(Amount) values('3450'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1874(Amount) values('190'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1874(Amount) values('7600'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1874(Amount) values('4500'); Query OK, 1 row affected (0.00 sec)Display all records ... Read More

To update a single column, use UPDATE and SET as in the below syntax −update yourTableName set yourColumnName=yourValue;Let us first create a table −mysql> create table DemoTable1873      (      Id int NOT NULL AUTO_INCREMENT PRIMARY KEY,      FirstName varchar(20)      ); Query OK, 0 rows affected (0.00 sec)Insert some records in the table using insert command −mysql> insert into DemoTable1873(FirstName) values('John'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1873(FirstName) values('Adam'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1873(FirstName) values('David'); Query OK, 1 row affected (0.00 sec) mysql> insert into ... Read More

For this, use SUBSTRING(). Let us first create a table −mysql> create table DemoTable1872    (    Name varchar(20)    ); Query OK, 0 rows affected (0.00 sec)Insert some records in the table using insert command −mysql> insert into DemoTable1872 values('John Doe'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1872 values('Adam Smith'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1872 values('Mitchell Johnson'); Query OK, 1 row affected (0.00 sec)Display all records from the table using select statement −mysql> select * from DemoTable1872;This will produce the following output −+------------------+ | Name         ... Read More

Let us first create a table −mysql> create table DemoTable1871      (      ArrivalDate datetime      ); Query OK, 0 rows affected (0.00 sec)Insert some records in the table using insert command −mysql> insert into DemoTable1871 values('2019-12-19 7:45:00'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1871 values('2018-11-10 12:00:00'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1871 values('2019-01-31'); Query OK, 1 row affected (0.00 sec)Display all records from the table using select statement −mysql> select * from DemoTable1871; This will produce the following output −+---------------------+ | ArrivalDate         | ... Read More

For this, you can use aggregate function MIN() and GROUP BY. Let us first create a table −mysql> create table DemoTable1870      (      Id int NOT NULL AUTO_INCREMENT PRIMARY KEY,      Value int,      ShippingTimestamp varchar(100)      ); Query OK, 0 rows affected (0.00 sec)Insert some records in the table using insert command −mysql> insert into DemoTable1870(Value, ShippingTimestamp) values(10, '1570645800'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1870(Value, ShippingTimestamp) values(10, '1546194600'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1870(Value, ShippingTimestamp) values(11, '1573324200'); Query OK, 1 row affected (0.00 ... Read More

For this, you can use group_concat() with aggregate function. Let us first create a table −mysql> create table DemoTable1869      (      Id int,      Subject varchar(20 ),      Name varchar(20)      ); Query OK, 0 rows affected (0.00 sec)Insert some records in the table using insert command −mysql> insert into DemoTable1869 values(100, 'MySQL', 'John'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1869 values(100, 'MongoDB', 'Smith'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1869 values(101, 'MySQL', 'Chris'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1869 values(101, ... Read More

For this, you can use the concept of user defined variable. Let us first create a table −mysql> create table DemoTable1868      (      Value int      ); Query OK, 0 rows affected (0.00 sec)Insert some records in the table using insert command −mysql> insert into DemoTable1868 values(10); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1868 values(20); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1868 values(30); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1868 values(40); Query OK, 1 row affected (0.00 sec)Display all records from the table using ... Read More

To list all variables initialized by SET operator, the syntax is as follows −select * from performance_schema.user_variables_by_thread;Here is the query to set the variable −mysql> set @FirstName='John'; Query OK, 0 rows affected (0.00 sec) mysql> set @LastName='Doe'; Query OK, 0 rows affected (0.00 sec)Here is the query to display the list of all variables initialized by SET operator. This list includes the variables set above −mysql> select * from performance_schema.user_variables_by_thread;This will produce the following output −+-----------+---------------+----------------+ | THREAD_ID | VARIABLE_NAME | VARIABLE_VALUE | +-----------+---------------+----------------+ |       120 | TotalAmount   |           5000 | ... Read More

For this, use date_add() with interval command. Let us first create a table −mysql> create table DemoTable1867      (      ArrivalTime datetime      ); Query OK, 0 rows affected (0.00 sec)Insert some records in the table using insert command −mysql> insert into DemoTable1867 values('2019-10-12 12:34:45'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1867 values('2019-10-12 10:04:15'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1867 values('2019-10-12 11:00:23'); Query OK, 1 row affected (0.00 sec)Display all records from the table using select statement −mysql> select * from DemoTable1867; This will produce the following output ... Read More

For this, use FIND_IN_SET(). Let us first create a table −mysql> create table DemoTable1866      (      Value1 int,      ListOfValues varchar(100)      ); Query OK, 0 rows affected (0.00 sec)Insert some records in the table using insert command −mysql> insert into DemoTable1866 values(56, '78, 56, 98, 95'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1866 values(103, '103, 90, 102, 104'); Query OK, 1 row affected (0.00 sec) mysql> insert into DemoTable1866 values(77, '34, 45, 77, 78'); Query OK, 1 row affected (0.00 sec)Display all records from the table using select statement −mysql> ... Read More