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Description

This error indicates that a multi-row statement, such as a large INSERT...SELECT or UPDATE operation, has exceeded the allocated memory for the binary log statement cache. MySQL uses this cache to temporarily store statements before writing them to the binary log, and if a statement is too large, the operation fails.

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Error Message

Multi-row statements required more than 'max_binlog_stmt_cache_size' bytes of storage; increase this mysqld variable and try again

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Known Causes

3 known causes

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Large Multi-Row Operations

Executing SQL statements (e.g., INSERT...SELECT, UPDATE, DELETE) that affect an unusually high number of rows, causing the statement's data to exceed the cache limit.

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Insufficient Cache Size

The `max_binlog_stmt_cache_size` variable is configured with a value that is too low to accommodate the typical or peak size of multi-row statements in your database workload.

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Complex Transaction Structure

Transactions involving numerous individual row changes or highly complex data manipulations that collectively consume significant memory within the statement cache before being committed.

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Solutions

3 solutions available

1. Temporarily Increase `max_binlog_stmt_cache_size` for Immediate Resolution easy

Increase the binlog statement cache size on the fly for immediate relief.

1

Connect to your MySQL server as a user with `SUPER` or `SET_GLOBAL` privileges.

2

Execute the following SQL command to increase the `max_binlog_stmt_cache_size`. The value should be significantly larger than the current value, for example, `128M` or `256M`. You can check the current value by running `SHOW VARIABLES LIKE 'max_binlog_stmt_cache_size';`.

SET GLOBAL max_binlog_stmt_cache_size = '256M';

3

Re-run the operation that caused the error. If it succeeds, you've temporarily resolved the issue.

4

Note: This change is temporary and will be lost upon MySQL server restart. For a permanent solution, see the next steps.

2. Permanently Increase `max_binlog_stmt_cache_size` via Configuration File medium

Modify the MySQL configuration file to permanently increase the binlog statement cache size.

1

Locate your MySQL configuration file. Common locations include `/etc/my.cnf`, `/etc/mysql/my.cnf`, or `/etc/mysql/mysql.conf.d/mysqld.cnf`.

2

Open the configuration file with a text editor (e.g., `nano`, `vim`). You will likely need root privileges.

sudo nano /etc/mysql/my.cnf

3

Find the `[mysqld]` section. If it doesn't exist, create it.

4

Add or modify the `max_binlog_stmt_cache_size` parameter. Set it to a sufficiently large value, such as `256M` or `512M`. The appropriate value depends on the size of your multi-row statements.

[mysqld]
max_binlog_stmt_cache_size = 256M

5

Save the changes and exit the text editor.

6

Restart the MySQL server for the changes to take effect.

sudo systemctl restart mysql

7

Verify the new setting by connecting to MySQL and running `SHOW VARIABLES LIKE 'max_binlog_stmt_cache_size';`.

3. Optimize and Break Down Large Multi-Row Statements advanced

Reduce the size of individual multi-row statements to avoid exceeding the cache limit.

1

Identify the specific SQL statement(s) that are causing the `Binlog Statement Cache Overflow`. This often occurs with large `INSERT ... VALUES (...), (...), ...` or `UPDATE` statements affecting many rows at once.

2

If possible, refactor the application code or SQL queries to break down large multi-row statements into smaller batches. For example, instead of a single `INSERT` with thousands of rows, perform several `INSERT` statements with hundreds of rows each.

3

For `UPDATE` statements, consider if the update can be applied to smaller subsets of data, perhaps based on a date range or identifier. If not, and if the statement is extremely large, it might indicate a need for data archiving or a different approach to data modification.

4

If you are using an ORM (Object-Relational Mapper), check its configuration for batching options and ensure they are set appropriately.

5

This approach reduces the memory pressure on the binlog statement cache and can also improve query performance and reduce lock contention.

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Related Errors

5 related errors

MySQL Error 1705: Binlog Statement Cache Overflow