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Usage of % in mysql

Apr 26, 2024 am 04:57 AM
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The % symbol in MySQL is a wildcard character used to match any sequence of characters in LIKE query conditions. Start a fuzzy match: % is placed at the beginning of a string to match any value that begins with that string. Ending fuzzy matching: % is placed at the end of a string to match any value that ends with that string. Match any character or string: % placed in the middle of a string matches any value that contains the string.

Usage of % in mysql

Usage of % in MySQL

The role of % symbol

The % symbol in MySQL is a wildcard character used to match any sequence of characters in the LIKE query condition.

Usage

In LIKE query conditions, you can use the % symbol to match the following types of data:

  • Start fuzzy matching :Placing % at the beginning of the search string means matching any value that begins with the string. For example: LIKE '%john' will match "john doe", "john smith", etc.
  • End fuzzy matching: Placing % at the end of the search string means matching any value that ends with the string. For example: LIKE 'smith%' will match "john smith", "jane smith", etc.
  • Any character or string matching: Placing % in the middle of the search string means matching any character or any value of the string that contains the string. For example: LIKE '%or%ger' will match "morgan", "orange", etc.

Examples

Here are some examples of fuzzy matching using the % wildcard:

  • SELECT * FROM users WHERE name LIKE '%john%'; Find all name column values ​​that contain the string "john".
  • SELECT * FROM products WHERE description LIKE '%apple%'; Find all description column values ​​that contain the string "apple".
  • SELECT * FROM orders WHERE order_id LIKE 'OR%'; Find all order_id column values ​​starting with "OR".

Note

  • % symbol can only be used in LIKE query conditions.
  • LIKE queries are case-sensitive, so when using the % wildcard character, make sure the search string matches the case of the value you need to match.
  • In order to improve query performance, it is recommended to use indexes, especially when the LIKE query condition contains the % wildcard character.

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