How Can I Optimize MySQL Queries Matching Multiple Patterns Efficiently?

Optimize MySQL queries to efficiently match multiple patterns

The following query is designed to retrieve rows from the fiberbox table where the fiberBox column value matches a specific pattern, using multiple OR conditions combined with the LIKE operator. However, users have expressed interest in exploring the LIKE IN() syntax that is not natively supported in MySQL.

To achieve the desired functionality, consider using regular expressions (REGEXP) instead of LIKE IN(). REGEXP allows you to match column values ​​against multiple patterns at the same time, providing a more efficient alternative in some cases.

Here is an optimized REGEXP query that achieves the same task:

SELECT * FROM fiberbox WHERE field REGEXP '1740|1938|1940';

In this query, the REGEXP operator is used to match the field column value against three patterns separated by the pipe symbol (|). This approach is more efficient than using multiple OR conditions with LIKE, especially when dealing with large numbers of patterns.

However, it is recommended to benchmark both approaches to determine the best solution for your specific data set and usage scenario.

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