How to find strings with a given prefix in MySQL?

You can use LIKE operator to find strings with a given prefix.

The syntax is as follows

select *from yourTableName where yourColumnName LIKE 'yourPrefixValue%';

To understand the above syntax, let us create a table. The query to create a table is as follows

mysql> create table findStringWithGivenPrefixDemo
   -> (
   -> UserId int NOT NULL AUTO_INCREMENT PRIMARY KEY,
   -> UserMessage text
   -> );
Query OK, 0 rows affected (0.82 sec)

Insert some records in the table using insert command.

The query is as follows

mysql> insert into findStringWithGivenPrefixDemo(UserMessage) values('Hi Good Morning !!!');
Query OK, 1 row affected (0.17 sec)
mysql> insert into findStringWithGivenPrefixDemo(UserMessage) values('Hey I am busy!!');
Query OK, 1 row affected (0.20 sec)
mysql> insert into findStringWithGivenPrefixDemo(UserMessage) values('Hello what are you doing!!!');
Query OK, 1 row affected (0.47 sec)
mysql> insert into findStringWithGivenPrefixDemo(UserMessage) values('Hi I am learning MongoDB!!!');
Query OK, 1 row affected (0.15 sec)

Display all records from the table using select statement.

The query is as follows

mysql> select *from findStringWithGivenPrefixDemo;

The following is the output

+--------+-----------------------------+
| UserId | UserMessage                 |
+--------+-----------------------------+
| 1      | Hi Good Morning !!!         |
| 2      | Hey I am busy!!             |
| 3      | Hello what are you doing!!! |
| 4      | Hi I am learning MongoDB!!! |
+--------+-----------------------------+
4 rows in set (0.00 sec)

Here is the query to find strings with given prefix

mysql> select *from findStringWithGivenPrefixDemo where UserMessage LIKE 'Hi%';

The following is the output displaying only the strings with prefix “Hi”

+--------+-----------------------------+
| UserId | UserMessage                 |
+--------+-----------------------------+
| 1      | Hi Good Morning !!!         |
| 4      | Hi i am learning MongoDB!!! |
+--------+-----------------------------+
2 rows in set (0.00 sec)