Common SQL Errors

MySQL Error 1552 ER_EVENT_DATA_TOO_LONG - Data for column too long: How to Fix and Prevent

Galaxy Team
August 7, 2025

<p>Raised when MySQL tries to write event data longer than the defined column size.</p>

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What is MySQL error ER_EVENT_DATA_TOO_LONG?

<p>MySQL Error 1552 ER_EVENT_DATA_TOO_LONG arises when event or binlog data exceeds the target column length. Resize the column with ALTER TABLE or trim the data in the event definition to eliminate the overflow.</p>

Error Highlights

Typical Error Message

Data for column '%s' too long

Error Type

Data Length Error

Language

MySQL

Symbol

ER_EVENT_DATA_TOO_LONG

Error Code

1552

SQL State

HY000

Explanation

Table of Contents

What is MySQL error ER_EVENT_DATA_TOO_LONG?

MySQL raises ER_EVENT_DATA_TOO_LONG (SQLSTATE HY000, code 1552) when event data or a binary log row image exceeds the maximum length allowed by the referenced column.

The engine stops the statement and returns Data for column %s too long to prevent silent truncation that could corrupt downstream consumers, including replicas.

When does it occur?

The error appears during CREATE EVENT, INSERT, UPDATE, LOAD DATA, or while applying row based replication. Any situation where an internal event writes to a column can trigger it.

It is common after schema changes that shorten column lengths or when VARCHAR values grow due to character set promotion.

Why is fixing it important?

Ignoring the error halts event execution, replication, and scheduled tasks, leading to stale data and potential production downtime.

Prompt resolution restores normal workload flow and guards data integrity.

What Causes This Error?

A string literal, variable, or blob exceeds the column length defined in the target table triggered by an EVENT or binlog replay.

Replication may generate larger row images than expected due to character set differences between source and replica.

How to Fix MySQL Error ER_EVENT_DATA_TOO_LONG

Identify the offending column, then either enlarge it with ALTER TABLE, trim the incoming data, or switch to a wider data type such as TEXT.

After applying the change, re-run the event or resume replication to confirm the error no longer surfaces.

Common Scenarios and Solutions

Oversized log payloads in an audit table require converting VARCHAR(255) to TEXT.

A nightly ETL event must SUBSTRING() long JSON before insertion.

Best Practices to Avoid This Error

Use generous column sizes for logged payloads and choose TEXT for unpredictable content.

Enable strict mode to detect length issues early in development rather than in production replication.

Related Errors and Solutions

ER_DATA_TOO_LONG appears on ordinary DML, ER_TRUNCATED_WRONG_VALUE warns of numeric overflow, and ER_CANT_CREATE_EVENT signals event definition issues. Each is resolved by similar length or type corrections.

Common Causes

Oversized VARCHAR or TEXT value

An INSERT or UPDATE executed inside an EVENT carries a string longer than the column's declared length.

Binary log row image expansion

Character set or collation differences inflate byte length during replication, breaching the column limit.

Schema regression

A recent migration reduced column size without updating scheduled events, causing legacy data to overflow.

Incorrect data type choice

Storing large JSON or XML in a narrow VARCHAR instead of TEXT results in overflow once payloads grow.

Related Errors

ER_DATA_TOO_LONG (1406)

Occurs on direct DML when data exceeds column length outside events.

ER_TRUNCATED_WRONG_VALUE (1292)

Signals numeric or datetime value truncation that fails strict mode checks.

ER_CANT_CREATE_EVENT (1570)

Raised when event definition is invalid or lacks privileges.

FAQs

Does this error affect replication?

Yes. The replica stops applying the offending event until the data length issue is resolved.

Is disabling strict mode a safe workaround?

No. It may hide the error by silently truncating data and corrupting logs.

Can I ignore the error for non critical columns?

Ignoring is risky because future queries might rely on complete data. Fix the schema instead.

How does Galaxy help?

Galaxy's real time linting flags potential length mismatches during query authoring and suggests ALTER TABLE fixes.

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