Common SQL Errors

MySQL Error 1426 ER_TOO_BIG_PRECISION: Complete Fix and Prevention Guide

Galaxy Team
August 7, 2025

<p>The precision specified in a DECIMAL or NUMERIC column definition exceeds MySQL's maximum of 65 digits.</p>

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What is MySQL error 1426 ER_TOO_BIG_PRECISION?

<p>MySQL Error 1426 ER_TOO_BIG_PRECISION arises when a DECIMAL or NUMERIC column is defined with more than 65 digits of precision. Fix the issue by lowering the precision to 65 or less, then rerun the CREATE or ALTER statement.</p>

Error Highlights

Typical Error Message

Too-big precision %d specified for '%s'. Maximum is %lu.

Error Type

Data Definition Error

Language

MySQL

Symbol

ER_TOO_BIG_PRECISION

Error Code

1426

SQL State

42000

Explanation

Table of Contents

What is MySQL Error 1426 ER_TOO_BIG_PRECISION

MySQL returns error 1426 ER_TOO_BIG_PRECISION when a CREATE TABLE or ALTER TABLE statement defines a DECIMAL or NUMERIC column with precision above the allowed limit. Precision is the total count of digits stored. MySQL enforces a hard cap of 65 digits. Any definition that exceeds this limit is rejected with SQLSTATE 42000.

What Causes This Error

The error occurs only when schema definitions breach numeric limits. Typical examples are DECIMAL(100,2) or NUMERIC(70,10). Generated columns, stored routine parameters, and migration scripts can also trigger the error if they inherit or introduce an oversized precision value.

How to Fix MySQL Error 1426 ER_TOO_BIG_PRECISION

Reduce the precision to 65 or below and ensure scale is not greater than precision. For large integers, use DECIMAL(65,0) or split values across columns. After correction, rerun the DDL statement. Always test in a staging environment before applying changes in production.

Common Scenarios and Solutions

Data migration tools copying schemas from Oracle or SQL Server may create DECIMAL(128,10) columns that exceed MySQL limits. Update mapping rules to cap precision at 65. ETL jobs that infer DECIMAL sizes from long numeric strings should cast values to VARCHAR first, then convert to DECIMAL with valid precision.

Best Practices to Avoid This Error

Model tables with realistic precision early in the design phase. Document the 65 digit rule in coding standards. Integrate Galaxy or static analysis tools in CI pipelines to flag oversized definitions before they reach production. Review all inbound migration scripts for numeric field sizes.

Related Errors and Solutions

ER_TOO_BIG_SCALE appears when the scale component exceeds limits. ER_M_BIGGER_THAN_D is raised when scale is larger than precision. Both errors are resolved by adjusting DECIMAL arguments similarly to ER_TOO_BIG_PRECISION.

Common Causes

Oversized DECIMAL Definition

Using DECIMAL(100,2) or any precision above 65 digits immediately triggers the error.

Migration Scripts From Other Databases

Automated schema converters may copy high precision numeric fields from other engines without reducing size, causing failure in MySQL.

Generated Columns or Stored Routines

Generated columns or procedure variables that inherit expressions with excessive precision are validated and rejected during creation.

Related Errors

MySQL Error 1427 ER_TOO_BIG_SCALE

Scale value exceeds the allowed limit or the defined precision. Lower the scale.

MySQL Error 1428 ER_M_BIGGER_THAN_D

Scale is larger than precision. Swap parameters or reduce scale.

MySQL Error 1264 Out of range value for column

Data value contains more digits than the column allows. Increase precision or sanitize input data.

FAQs

What is the maximum DECIMAL precision MySQL supports

MySQL 5.7 and 8.0 permit up to 65 digits in any DECIMAL or NUMERIC column.

Does changing precision rebuild indexes

Yes. ALTER TABLE modifies storage of the column, causing index rebuilds. Schedule maintenance windows for large tables.

How can Galaxy help avoid numeric precision errors

Galaxy validates schema changes in its editor and warns when a DECIMAL exceeds 65 digits. Its AI copilot rewrites statements with valid precision.

Will the error appear at runtime

No. The server blocks the DDL command before execution completes, so data is never inserted until the schema is fixed.

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