How To Make Update Query Faster In Mysql

In this tutorial, we will learn how to make update queries faster in MySQL. Running an update query is an essential operation while managing databases. However, if done ineffectively, it can result in slower server performance and affect the user experience. This tutorial will guide you through several steps you can take to optimize and speed up your update queries in MySQL.

Step 1: Optimize SELECT Clause

A crucial step in optimizing your update query is to improve the performance of the SELECT clause. The faster you can find the rows to be updated, the faster the actual update operation will be. Make sure the WHERE clause in your SELECT is well indexed. If needed, create additional indexes to speed up the search.

For example, consider the following update query:

To speed up this query, you can add an index on the ‘designation’ column:

Now, MySQL will be able to find the rows to be updated more quickly.

Step 2: Use JOIN Instead of Subquery

Using a JOIN instead of a subquery can significantly improve the performance of your update queries. Subqueries often require the MySQL engine to process the inner query first and use the result for the outer query. This process is time-consuming and resource-intensive.

Consider the following example:

Here, you can improve the performance by using a JOIN instead of a subquery:

This will make the query faster, as MySQL can process both tables simultaneously.

Step 3: Break Updates into Smaller Chunks

Updating a large number of rows simultaneously can have a considerable impact on server performance. By breaking the update operation into smaller chunks, you can reduce the load on the server and further optimize the performance.

For example:

By running several smaller update queries, you can distribute the workload and improve server performance.

Step 4: Use the LIMIT Clause

Another option to break updates into smaller chunks is to use the LIMIT clause. By limiting the number of rows updated simultaneously, you can prevent the server from being overloaded.

For example:

In this example, we update only 100 rows at a time, which reduces the impact on overall server performance.

Step 5: Run UPDATEs in Transactions

Running multiple update queries in a single transaction can reduce the number of write-locks and improve the query performance. Make sure you use the START TRANSACTION and COMMIT commands to group the update queries together.

For example:

By running the update queries within a transaction, you minimize the number of write locks and improve query performance.


Optimizing your update queries in MySQL is crucial for efficient database management and improved server performance.

Some key steps to make your update queries faster in MySQL include optimizing the SELECT clause, using JOINs instead of subqueries, breaking updates into smaller chunks using the LIMIT clause, and running multiple update queries in transactions.

Overall, by implementing these optimization techniques, you can significantly speed up your update queries in MySQL.