MySQL Error 1264: Out of Range for Column

MySQL error 1264 occurs when a value being inserted or updated in a table column exceeds the defined data type limit. Understanding and resolving this error ensures data integrity and optimal database functioning.

Understanding the error 1264

Error 1264 arises when the data you’re trying to insert or update in a MySQL column exceeds the maximum size limit for that column’s data type. For example, inserting a number larger than the maximum allowed value into an INT column triggers this error.

Common causes

• Exceeding data type limits: Inserting a value that is too large for the column’s data type.
• Implicit data type conversions: When MySQL implicitly converts data types during operations like table joins, which can result in values exceeding the defined limits.
• Incorrect data type selection: Choosing a data type that is too small to hold the expected range of values.

Diagnosing the issue

Start by identifying the column and the value causing the error. Review the table schema to understand the data type and size constraints of the column.

DESCRIBE your_table_name;

Analyze the query causing the error, paying close attention to the values being inserted or updated.

Resolving the error

Adjusting data values

Ensure the values being inserted or updated fall within the acceptable range of the column’s data type.

Altering column data type

If necessary, alter the column to accommodate larger values.

ALTER TABLE your_table_name MODIFY column_name NEW_DATA_TYPE;

Data type selection

Choose appropriate data types for columns, considering the range of values they will store.

Best practices to avoid error 1264

• Proper data type selection: Choose data types that best fit the data range and nature.
• Data validation: Implement data validation in your application logic to prevent out-of-range values from being submitted.
• Regular database review: Periodically review your database schema and adjust as necessary.

During troubleshooting, Basedash helps teams move faster by combining AI-assisted analysis with direct SQL access, so you can validate fixes, monitor results, and share clear dashboards after incidents are resolved.