Common SQL Errors

MySQL Error 1427: ER_M_BIGGER_THAN_D - How to Fix and Prevent

Galaxy Team
August 7, 2025

<p>The error appears when the declared precision M for FLOAT(M,D), DOUBLE(M,D), or DECIMAL(M,D) is smaller than the scale D, making the numeric type impossible.</p>

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What is MySQL error 1427 (ER_M_BIGGER_THAN_D)?

<p>MySQL Error 1427 ER_M_BIGGER_THAN_D occurs when a numeric column is declared with precision (M) smaller than its scale (D). Ensure M is equal to or greater than D, then recreate or alter the column definition to resolve the issue.</p>

Error Highlights

Typical Error Message

For float(M,D), double(M,D) or decimal(M,D), M must be

Error Type

Data Definition Error

Language

MySQL

Symbol

ER_M_BIGGER_THAN_D

Error Code

1427

SQL State

42000

Explanation

Table of Contents

What is MySQL error 1427 ER_M_BIGGER_THAN_D?

MySQL raises error 1427 with the message For float(M,D), double(M,D) or decimal(M,D), M must be >= D whenever a numeric column is defined where the total digits M are fewer than the digits after the decimal point D.

The server stops the statement to protect data consistency because such a definition cannot store any value. Correcting it is vital to get the schema compiled and to prevent application outages.

What causes this error?

The error surfaces when developers mistype numeric definitions, copy code from other databases, or generate schemas programmatically without validating precision and scale.

It also arises during ALTER TABLE operations that increase scale without adjusting precision or inside stored routine parameters declared with invalid pairs.

How to fix MySQL error 1427

Inspect every FLOAT(M,D), DOUBLE(M,D), and DECIMAL(M,D) declaration. Make sure M is at least D. Adjust one of the values, then rerun CREATE TABLE or ALTER TABLE. The command will succeed and the column will accept data.

For migrations, update the generator or conversion script to enforce the rule automatically.

Common scenarios and solutions

Importing schemas from PostgreSQL often yields NUMERIC definitions such as DECIMAL(4,6). Change them to DECIMAL(6,4) or higher.

Analysts declaring DECIMAL(2,4) for percentages should use DECIMAL(6,4) so that two digits can exist before the decimal point.

Best practices to avoid this error

Create a numeric type guideline that lists approved precision and scale pairs.

Integrate schema linting in CI. Galaxy users can enable pre commit validation inside the editor to catch ER_M_BIGGER_THAN_D before code lands in the main branch.

Related errors and solutions

Error 1064 signals general SQL syntax issues; review parentheses and commas.

Error 1406 appears when inserted values exceed declared precision; increase M or reduce data size.

Common Causes

Typo in numeric definition

Writing DECIMAL(4,6) or FLOAT(5,8) triggers the error because 4 or 5 is smaller than 6 or 8.

Automated schema conversion

Tools converting PostgreSQL or SQL Server schemas may output invalid precision scale combinations for MySQL.

Altering scale without precision

Using ALTER TABLE to widen scale without raising precision, such as DECIMAL(8,10), produces ER_M_BIGGER_THAN_D.

Related Errors

MySQL Error 1406: Data too long for column

Occurs when an inserted value exceeds declared decimal precision; adjust M or the data.

MySQL Error 1264: Out of range value for column

Raised when a numeric value is outside the permitted range, often after precision changes.

MySQL Error 1366: Incorrect decimal value

Indicates invalid numeric input format such as 12,34 when strict SQL mode is on.

FAQs

Is ER_M_BIGGER_THAN_D a compile-time or runtime error?

It is a compile-time error that appears during CREATE TABLE, ALTER TABLE, or stored routine compilation.

Can I set M equal to D?

Yes. MySQL allows M and D to be equal, which leaves no digits before the decimal but is still valid.

Does the rule apply to UNSIGNED decimals?

Yes. UNSIGNED affects sign storage only; precision and scale rules stay the same.

How does Galaxy help avoid this error?

Galaxy highlights schema errors in the editor and can run a pre-commit check so invalid numeric definitions never reach production.

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