Common SQL Errors

MySQL Error 3024 ER_QUERY_TIMEOUT - How to Fix and Prevent

Galaxy Team
August 8, 2025

The server terminates a statement because it exceeded the max_execution_time limit.

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What is MySQL error 3024 (ER_QUERY_TIMEOUT)?

MySQL error 3024 ER_QUERY_TIMEOUT means the server stopped a query that ran longer than the max_execution_time limit. Optimize the query or raise the limit with SET SESSION max_execution_time to resolve the timeout.

Error Highlights

Typical Error Message

ER_QUERY_TIMEOUT

Error Type

Timeout Error

Language

MySQL

Symbol

execution time exceeded ER_QUERY_TIMEOUT was added in 5.7.4.

Error Code

3024

SQL State

HY000

Explanation

Table of Contents

What is MySQL error 3024 (ER_QUERY_TIMEOUT)?

MySQL raises error 3024 ER_QUERY_TIMEOUT when a running statement surpasses the max_execution_time threshold. The server immediately stops the process and returns the error instead of finishing the result set.

This safeguard prevents runaway or poorly optimized queries from monopolizing CPU, memory, and I/O resources. It first appeared in MySQL 5.7.4 and is available in all later versions, including MySQL 8.0.

What Causes This Error?

The most common trigger is a complex or poorly indexed query that takes longer than the configured limit. If max_execution_time is set to 1000 ms, any statement that hits 1 second is terminated.

Timeouts can also occur when the server is overloaded, storage is slow, or competing transactions hold locks that delay execution beyond the limit.

How to Fix ER_QUERY_TIMEOUT

Start by reading EXPLAIN output to identify full table scans, missing indexes, or costly joins. Adding indexes, simplifying expressions, and avoiding wildcards can reduce runtime below the limit.

When optimization is not enough, raise the limit with SET SESSION max_execution_time = 5000 or disable it by setting the variable to 0.

Common Scenarios and Solutions

Select statements on large tables lacking indexes often hit the timeout. Adding composite indexes on filtering columns usually resolves the error.

Analytical GROUP BY or ORDER BY queries may need increased tmp_table_size and work_mem as well as a higher max_execution_time.

Best Practices to Avoid This Error

Benchmark new queries in a staging environment and review their execution plans before deploying to production.

Use Galaxy s AI copilot to refactor slow statements and surface missing indexes directly inside the editor, then commit trusted queries to a Collection so teammates reuse the optimized version.

Related Errors and Solutions

Error 3023 (ER_QUERY_TIMEOUT_KILLED) indicates the same timeout but is reported in the error log rather than to the client.

Error 1205 (ER_LOCK_WAIT_TIMEOUT) occurs when a session waits on a lock longer than innodb_lock_wait_timeout; adjusting lock settings, not max_execution_time, resolves that issue.

Common Causes

High query complexity

Multiple joins, subqueries, or functions cause the engine to scan large data sets and exceed the time limit.

Missing or unused indexes

Without proper indexes, MySQL performs full table scans that take longer than the configured threshold.

Resource contention

CPU saturation, slow disk I/O, or competing queries extend execution time until the timeout is reached.

Low max_execution_time setting

Overly aggressive limits terminate queries that would otherwise finish quickly with a higher threshold.

Related Errors

Error 3023 ER_QUERY_TIMEOUT_KILLED

The same timeout detected by an internal kill thread, logged but not returned to the client.

Error 1205 ER_LOCK_WAIT_TIMEOUT

Query waits on row locks too long; solved by adjusting lock timeout or improving transaction design.

Error 2013 Lost connection to MySQL server during query

Network drop or server crash while executing; check server logs and network stability.

FAQs

Can I disable max_execution_time permanently?

Yes. Set global max_execution_time = 0 in my.cnf or with SET GLOBAL to remove the limit, but monitor for runaway queries.

Does the timeout apply to stored procedures?

The limit applies to each SQL statement inside the procedure, not to the procedure as a whole.

Will increasing innodb_buffer_pool_size help?

Larger buffer pools reduce disk reads, often lowering execution time below the threshold and preventing the error.

How does Galaxy help avoid timeouts?

Galaxy highlights slow queries, suggests indexes via AI copilot, and lets teams endorse optimized statements so everyone reuses the faster version.

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