MySQL raises ER_WRONG_VALUE_COUNT (code 1058) when the number of supplied values does not equal the number of target columns in an INSERT, REPLACE, or UPDATE statement.
MySQL Error 1058: ER_WRONG_VALUE_COUNT occurs when the value list length differs from the column list length in an INSERT, REPLACE, or UPDATE statement. Align the two counts or specify the columns explicitly to resolve the issue.
Column count doesn't match value count
MySQL throws error code 1058 with the message "Column count doesn't match value count" when an INSERT, REPLACE, or UPDATE statement supplies a different number of values than the number of columns it tries to populate. The mismatch prevents MySQL from deciding which value belongs to which column.
The error stops the query at parse time.
No data is written or modified until the value count aligns with the target column count, so fixing it is critical to maintain data integrity.
Using INSERT ... VALUES without listing target columns but providing fewer or more values than the table has columns triggers the error immediately.
Including a column list but miscounting placeholders in a prepared statement or breaking a multi-row VALUES list also produces the mismatch.
UPDATE ...
SET col1,col2 = (SELECT ...) can fail when the subquery returns a different number of columns than listed in the assignment.
First, count the columns you intend to populate. Ensure the VALUES or SELECT subquery returns the same number. Explicitly list columns in the INSERT clause to avoid hidden mismatches.
When using parameterized queries or ORMs, double-check that the bound parameter array length equals the column list length.
Logging generated SQL in Galaxy’s editor makes this verification easy.
Bulk imports often fail because the CSV file contains an extra delimiter that adds an empty value. Cleaning the source file or using LOAD DATA with the correct FIELDS TERMINATED BY option resolves the mismatch.
INSERT ... SELECT fails when new columns are added to the target table.
Updating the SELECT list or explicitly naming columns fixes the issue.
Always specify the column list in INSERT statements. This shields code from future schema changes that add or drop columns.
Automate schema diff checks in CI pipelines. Galaxy’s GitHub integration can flag queries where the column and value counts differ before they reach production.
Error 1136 (21S01) is the SQLSTATE form of the same problem and is solved with identical methods.
Error 1406 (Data too long) differs because it concerns value size, not count, but also benefits from explicit column lists.
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Omitting the column list in INSERT or REPLACE while the table schema has a different number of columns than the provided values.
Supplying more or fewer values than columns in multi-row INSERT statements or during bulk data loads.
Using INSERT ... SELECT or UPDATE ...
SET with a subquery that returns a different column count than expected.
Binding a parameter array that is longer or shorter than the target column list in application code or stored procedures.
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The database detected that the number of supplied values in INSERT, REPLACE or UPDATE does not equal the number of target columns.
Yes, if your INSERTs omit a column list. Always specify columns to remain resilient to schema changes.
Use LOAD DATA with the IGNORE option or import into a staging table that matches the CSV structure, then transform.
Galaxy’s AI copilot auto-generates INSERT statements with explicit column lists and flags mismatched placeholders before execution.
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