How To Drop Multiple Indexes In Mysql

In this tutorial, we will learn how to drop multiple indexes in MySQL. Dropping indexes can be crucial in optimizing your database performance and ensuring that your queries run faster. We will look at the process of identifying the indexes that you need to remove and then how to remove them efficiently in a single query.

Step 1: Identify the Indexes to be Dropped

Before dropping any indexes, you should first identify the ones that are no longer needed or are causing performance issues. You can do this by analyzing your queries and checking the execution plans to see which indexes are being used.

Alternatively, you can use MySQL’s sys schema to get information about the unused indexes. You can run the following query to find unused indexes:

Step 2: Prepare the ALTER TABLE Statement

Once you have identified the indexes that you want to drop, you can proceed with writing the ALTER TABLE statement. The syntax for dropping multiple indexes in a single query is as follows:

In this syntax, you need to replace the following placeholders:

  • table_name: The name of the table where the indexes are located.
  • index_name1, index_name2: The names of the indexes you want to drop.

Make sure that the index names and table name in your query are correct to avoid any unintended issues.

Step 3: Execute the ALTER TABLE Statement

You can now execute the ALTER TABLE statement by running the query in a MySQL client or your preferred database management tool, such as MySQL Workbench.

For example, let’s say we have a table named “employees” with indexes “idx_age” and “idx_gender”, which we want to drop. The ALTER TABLE statement would look like this:

Executing this query will drop both the “idx_age” and “idx_gender” indexes from the “employees” table.

Query OK,0 rows affected (0.08 sec)
Records: 0  Duplicates: 0  Warnings: 0

Full Code:


Dropping multiple indexes in MySQL can be easily achieved with the ALTER TABLE statement. Make sure to properly analyze and identify the unused or unimportant indexes before removing them to avoid any negative impact on your database’s performance. By following the steps outlined in this tutorial, you can efficiently optimize your database and improve query execution times.