Error
Error Code:
3048
MySQL Error 3048: Value Out of Range
Description
MySQL Error 3048, 'Out of range error', indicates that a value supplied to a function or operation falls outside the acceptable minimum or maximum limits for its data type or context. This commonly occurs when attempting to store a number larger than allowed by an `INT` column, or when a calculation yields an invalid result for the target data type.
Error Message
Out of range error: %s in function %s.
Known Causes
3 known causesData Type Value Exceeded
Attempting to store a value in a column that exceeds the maximum or falls below the minimum permissible range for its defined data type (e.g., storing a number too large for an `INT` column).
Invalid Function Parameter
A parameter passed to a MySQL built-in function is outside the valid range expected by that function, leading to an 'out of range' error during execution.
Numeric Calculation Out of Bounds
A mathematical operation or expression results in a value that is too large or too small to be represented by the target data type or the system's internal processing limits.
Solutions
3 solutions available1. Identify and Correct Data Type Mismatch medium
Ensure the data being inserted or updated conforms to the defined column's data type and range.
1
Identify the specific column and table causing the error. The error message '%s in function %s' often provides clues about the problematic column and the operation (e.g., 'value too large for column X', 'function Y').
2
Examine the data you are attempting to insert or update. Check if the value exceeds the maximum or minimum allowed for the column's data type.
3
For numeric types (INT, BIGINT, DECIMAL, etc.), verify that the number of digits or precision is within the column's definition. For example, a `TINYINT` can only store values from -128 to 127.
SELECT COLUMN_NAME, DATA_TYPE, COLUMN_TYPE FROM INFORMATION_SCHEMA.COLUMNS WHERE TABLE_SCHEMA = 'your_database_name' AND TABLE_NAME = 'your_table_name';4
For string types (VARCHAR, TEXT, etc.), check the length of the string. If it exceeds the defined `VARCHAR(n)` length, it will cause this error. Consider using a larger VARCHAR or a TEXT type.
5
If the data is indeed out of range, either modify the data to fit the column's constraints or alter the table to accommodate larger values.
ALTER TABLE your_table_name MODIFY COLUMN your_column_name VARCHAR(255); -- Example: Increase VARCHAR length6
If the error occurs during a calculation or function call, review the logic of that function to ensure it's not producing values outside the expected range for the target column.
2. Adjust Column Data Type or Size medium
Modify the table schema to accommodate larger or different types of data.
1
Identify the table and column that is causing the 'out of range' error. Use `SHOW COLUMNS FROM your_table_name;` or query `INFORMATION_SCHEMA.COLUMNS` to get details about the column.
SHOW COLUMNS FROM your_table_name;2
Determine the appropriate data type and size that can hold the expected range of values. For example, if you are exceeding the capacity of `INT`, consider `BIGINT`.
3
Use the `ALTER TABLE` statement to modify the column's definition. Be cautious, as this can be a time-consuming operation on large tables.
ALTER TABLE your_table_name MODIFY COLUMN your_column_name BIGINT UNSIGNED NOT NULL; -- Example: Changing to BIGINT UNSIGNED4
If dealing with strings, increase the length of `VARCHAR` or consider changing to `TEXT` or `MEDIUMTEXT` if the data is expected to be very long.
ALTER TABLE your_table_name MODIFY COLUMN your_column_name TEXT; -- Example: Changing to TEXT type5
After altering the table, re-attempt the operation that previously failed. Ensure you have backups before making schema changes.
3. Review Application Logic and Data Input medium
Investigate the application code that is generating or processing the data before it reaches the database.
1
Analyze the application code that performs the insert or update operation. Identify where the data for the problematic column originates.
2
If the data comes from user input, implement validation on the client-side and server-side to ensure the input is within acceptable ranges before it's sent to the database.
Example (conceptual JavaScript validation): if (parseInt(userInput) > MAX_ALLOWED_VALUE || parseInt(userInput) < MIN_ALLOWED_VALUE) { alert('Value out of range!'); return false; }3
If the data is generated by calculations within the application, carefully review the formulas and logic. Ensure intermediate or final results do not exceed the maximum or minimum values supported by the database column.
4
Log the exact values being sent to the database just before the insert/update statement is executed. This will help pinpoint the problematic data.
Example (conceptual Python logging): logger.debug(f'Inserting data: {data_to_insert}')5
If the error is related to date/time values, ensure they are in a valid format and within the supported range for MySQL's date/time types.