Common SQL Errors

MySQL Error 1409: ER_LOAD_FROM_FIXED_SIZE_ROWS_TO_VAR - How to Fix and Prevent

Galaxy Team
August 7, 2025

<p>The error appears when LOAD DATA tries to read a fixed-length file into a table that has variable-length columns or incompatible field/line definitions.</p>

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What is MySQL error 1409: ER_LOAD_FROM_FIXED_SIZE_ROWS_TO_VAR?

<p>MySQL Error 1409: ER_LOAD_FROM_FIXED_SIZE_ROWS_TO_VAR occurs when LOAD DATA attempts to import a fixed-size row file into a table with variable-length columns. Align column types with file widths or switch to delimited format to resolve the issue.</p>

Error Highlights

Typical Error Message

Can't load value from file with fixed size rows to

Error Type

Data Load Error

Language

MySQL

Symbol

ER_LOAD_FROM_FIXED_SIZE_ROWS_TO_VAR

Error Code

1409

SQL State

HY000

Explanation

Table of Contents

What is MySQL error 1409: ER_LOAD_FROM_FIXED_SIZE_ROWS_TO_VAR?

Error 1409 is raised by the MySQL storage engine when the LOAD DATA [LOCAL] INFILE command tries to read a flat file that stores rows in a fixed byte length, but the target table contains one or more variable-length columns such as VARCHAR, TEXT or BLOB.

Because MySQL cannot determine where each field ends in a fixed-width record when the table expects variable-width storage, it aborts the load and returns the message "Can't load value from file with fixed size rows to variable".

Why does this error matter?

The import stops at the first offending row, leaving the table partially loaded or completely empty. In ETL pipelines this can break downstream jobs, delay reporting and cause data loss if not detected quickly.

When does the error typically surface?

You will see it after executing a LOAD DATA command with the FIELDS TERMINATED BY '' option (empty string) or when using FIXED format files generated by legacy systems, COBOL copybooks or mainframe exports.

What Causes This Error?

The main trigger is a mismatch between the file's fixed byte layout and the table's variable-length definitions. MySQL expects every column to map to a known byte width when FIELDS TERMINATED BY '' is specified.

How to Fix MySQL Error 1409

Choose one of three strategies: 1) change the table to CHAR or BINARY columns with exact widths; 2) switch the file to a delimited format and specify proper FIELDS TERMINATED BY and LINES TERMINATED BY clauses; 3) load into a staging table of fixed columns, then INSERT...SELECT into the final table.

Common Scenarios and Solutions

Legacy EBCDIC extracts, mainframe report files and C programs often write fixed 100-byte records. If your target table uses VARCHAR, convert those columns to CHAR( n ) temporarily or load into a CHAR staging table first.

Best Practices to Avoid This Error

Standardize inbound files to CSV or TSV; validate file width against table metadata in CI pipelines; document field sizes in Galaxy Collections so all engineers load data consistently.

Common Causes

Fixed-width file with VARCHAR target column

The input file stores 20-byte customer names but the table column is VARCHAR(50), triggering the mismatch.

FIELDS TERMINATED BY '' used incorrectly

An empty string indicates fixed-width parsing, but the table still contains variable types.

Incorrect column order or missing filler bytes

The file omits padding spaces that MySQL expects when mapping to CHAR fields.

Related Errors

MySQL Error 1265: Data truncated for column

Occurs when imported value exceeds column width.

MySQL Error 1292: Incorrect datetime value

Raised during LOAD DATA when date strings do not match column format.

MySQL Error 1083: Field separator argument is not what is expected

Appears if FIELDS TERMINATED BY is malformed.

FAQs

Can I keep VARCHAR columns and still load fixed-width files?

Yes. Load into a staging table of CHAR columns first, then cast to VARCHAR in an INSERT...SELECT.

Does LOCAL in LOAD DATA affect this error?

No. LOCAL only changes file location semantics. The fixed-width versus variable-length mismatch still applies.

Will setting sql_mode help?

sql_mode does not influence this error. Column type compatibility is mandatory.

How does Galaxy help?

Galaxy highlights table schemas inline and stores endorsed LOAD statements, reducing accidental format mismatches during data onboarding.

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