Common SQL Errors

MySQL Error 3231: ER_WRITE_SET_EXCEEDS_LIMIT - Causes and Fixes

Galaxy Team
August 8, 2025

The transaction's write set exceeds the configured size limit, blocking commit in MySQL.

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What is MySQL error 3231 ER_WRITE_SET_EXCEEDS_LIMIT?

MySQL ER_WRITE_SET_EXCEEDS_LIMIT occurs when a transaction's write set is larger than the group_replication_transaction_size_limit. Reduce the payload, split the work, or raise the limit with SET GLOBAL group_replication_transaction_size_limit to resolve the issue.

Error Highlights

Typical Error Message

ER_WRITE_SET_EXCEEDS_LIMIT

Error Type

Replication Error

Language

MySQL

Symbol

exceeds a limit imposed by an external component. If using Group Replication check 'group_replication_transaction_size_limit'. ER_WRITE_SET_EXCEEDS_LIMIT was added in 5.7.33.

Error Code

3231

SQL State

HY000

Explanation

Table of Contents

What is MySQL error 3231 ER_WRITE_SET_EXCEEDS_LIMIT?

MySQL returns ER_WRITE_SET_EXCEEDS_LIMIT when the total amount of write set data generated by the current transaction surpasses the group_replication_transaction_size_limit (default 14336 bytes). The server cancels the commit to protect Group Replication from excessive payloads.

The error only appears in MySQL 5.7.33 and later when binary log or Group Replication tracking is enabled; standalone servers without write-set based replication will not trigger it.

What Causes This Error?

A transaction that inserts, updates, or deletes large rows can exceed the write set limit, especially when BLOB, TEXT, or JSON columns are modified.

Low group_replication_transaction_size_limit or an unexpected spike in row size can also act as the root cause.

How to Fix ER_WRITE_SET_EXCEEDS_LIMIT

Reduce the size of each write or break the transaction into smaller batches so that every commit fits under the configured limit.

Alternatively increase the global or session variable group_replication_transaction_size_limit to a value higher than the expected write set size.

Common Scenarios and Solutions

Bulk loading images into a BLOB column often triggers the error; split the load into 1 000 row batches or switch to streaming files outside the database.

Schema migrations that add a large column and populate it in one step can fail; perform the update in small slices or enlarge the limit temporarily.

Best Practices to Avoid This Error

Estimate the write set footprint of heavy DML jobs during development and adjust limits in staging.

Monitor Performance Schema table replication_group_rpl_stats for transactions approaching the threshold and alert before a failure.

Store unstructured data in object storage when possible and keep row sizes modest to avoid replication bottlenecks.

Related Errors and Solutions

ER_GROUP_REPLICATION_MAX_GROUP_SIZE exceeded indicates too many members and requires reconfiguration.

ER_BINLOG_LOGGING_IMPOSSIBLE warns that binary logging is disabled and can block Group Replication; enable log_bin.

Common Causes

Large row updates

Updating or inserting rows that contain big BLOB, TEXT, or JSON columns quickly pushes the write set over the default 14336 byte limit.

Bulk transactions

Executing thousands of small DML statements inside a single transaction aggregates write set metadata until the limit is reached.

Low configuration value

A deliberately low group_replication_transaction_size_limit for testing environments can unexpectedly break production sized workloads.

Related Errors

ER_GTID_NEXT_TYPE_UNDEFINED_GROUP

Occurs when GTID_NEXT is not properly set for a transaction in GTID mode.

ER_MISSING_WRITE_SET_SESSION_STATE

Raised when write set tracking is disabled while Group Replication expects it.

ER_GROUP_REPLICATION_APPLIER_INIT_ERROR

Indicates failure to initialize the applier thread due to misconfiguration.

FAQs

Can I disable write set tracking?

Yes, but only if the server is not part of a Group Replication cluster; otherwise replication will break.

What is the default write set size limit?

MySQL sets 14336 bytes by default as of version 8.0.30.

Will increasing the limit hurt performance?

Slightly larger limits have negligible impact, but extremely large values can slow conflict detection and consume more memory.

How does Galaxy help?

Galaxy alerts you when a statement approaches the limit and suggests batching or configuration changes before running in production.

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