Error
Error Code: 3752

MySQL Error 3752: Functional Index Value Out of Range

📦 MySQL
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Description

This error occurs when a value being inserted or updated into a table is incompatible with a functional index defined on one of its columns. Specifically, the value, after being processed by the index's function, falls outside the permitted data range for that functional index, leading to a data integrity violation.
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Error Message

Value is out of range for functional index '%s' at row %ld
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Known Causes

4 known causes
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Data Type Mismatch or Conversion Error
The data being inserted or updated has a data type that cannot be correctly processed or implicitly converted by the functional index's expression, resulting in an out-of-range value.
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Numeric Overflow or Underflow
The result of the functional index's expression, when applied to the input data, exceeds the maximum or falls below the minimum value representable by the index's internal data type.
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Invalid Input for Functional Expression
The input data itself is syntactically or semantically invalid for the function used in the functional index, causing the function to produce an out-of-range result.
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Incorrect Data Range Expectation
The data being provided falls outside the expected valid range for the functional index, possibly due to a misunderstanding of the index's constraints or the function's behavior.
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Solutions

3 solutions available

1. Adjust Data Type and Constraints for Functional Index medium

Modify the data type or constraints of the column(s) used in the functional index to accommodate the values being inserted.

1
Identify the functional index mentioned in the error message.
ERROR MESSAGE: Value is out of range for functional index '%s' at row %ld
2
Examine the definition of the functional index and the underlying column(s).
SHOW CREATE TABLE your_table_name;
-- Look for the functional index definition and the data types of the involved columns.
3
Determine the data type of the functional index expression's result. For example, if the index is on `FLOOR(column_name)`, and `column_name` contains very large or small numbers, the resulting `FLOOR` value might exceed the limits of its inferred data type.
N/A
4
If the issue is due to exceeding the range of a numeric data type (e.g., `INT`, `BIGINT`, `DECIMAL`), consider widening the data type of the involved column(s) or the expression's implicit data type. For example, changing `INT` to `BIGINT` or adjusting the precision/scale of a `DECIMAL` type.
ALTER TABLE your_table_name MODIFY COLUMN column_name BIGINT;
-- Or for DECIMAL:
ALTER TABLE your_table_name MODIFY COLUMN column_name DECIMAL(20, 5); -- Adjust precision and scale as needed
5
If the issue is due to string length or character set limitations, ensure the column can accommodate the longest possible string resulting from the functional expression.
ALTER TABLE your_table_name MODIFY COLUMN column_name VARCHAR(500); -- Increase length as needed
6
If the functional index involves a function that produces values outside a specific range (e.g., trigonometric functions, date manipulations), ensure the input values are within the expected domain of the function.
N/A
7
After making changes, attempt to re-insert or update the data that caused the error.
INSERT INTO your_table_name (column_with_functional_index) VALUES (problematic_value);

2. Recreate Functional Index with Appropriate Data Type medium

Drop and recreate the functional index, explicitly defining the data type of the expression if MySQL's inference is leading to range issues.

1
Identify the functional index and its definition.
SHOW CREATE TABLE your_table_name;
-- Note the functional index name and the expression used.
2
Drop the existing functional index.
DROP INDEX functional_index_name ON your_table_name;
3
Recreate the functional index, explicitly casting the result of the expression to a data type that can accommodate the expected range of values. For instance, if the index is on `some_function(column_name)` and the result might exceed `INT` limits, cast it to `BIGINT`.
CREATE INDEX functional_index_name ON your_table_name ((CAST(some_function(column_name) AS BIGINT)));
-- Adjust 'BIGINT' to the appropriate data type (e.g., DECIMAL, VARCHAR) based on the function's output and potential range.
4
Attempt to insert or update the data that previously failed.
INSERT INTO your_table_name (column_with_functional_index) VALUES (problematic_value);

3. Validate and Sanitize Input Data medium

Implement application-level validation or stored procedures to ensure data inserted or updated falls within the expected range for the functional index.

1
Analyze the functional index expression and identify the range of values it can produce.
N/A
2
In your application code (e.g., Python, Java, PHP), add checks before attempting to insert or update data. These checks should verify that the input values will result in an output from the functional index that is within its valid range.
Example in Python (conceptual):
python
def insert_data(value):
    # Assume functional index is on FLOOR(value)
    if not (-2**31 <= math.floor(value) <= 2**31 - 1):
        raise ValueError("Value out of range for functional index.")
    # Proceed with INSERT statement
3
Alternatively, create a stored procedure or trigger that performs this validation before the data is actually inserted into the table. This ensures consistency regardless of the application writing to the database.
Example in SQL (conceptual trigger):
sql
DELIMITER //
CREATE TRIGGER before_insert_check
BEFORE INSERT ON your_table_name
FOR EACH ROW
BEGIN
    -- Assume functional index is on FLOOR(NEW.column_with_functional_index)
    IF FLOOR(NEW.column_with_functional_index) < -2147483648 OR FLOOR(NEW.column_with_functional_index) > 2147483647 THEN
        SIGNAL SQLSTATE '45000' SET MESSAGE_TEXT = 'Value out of range for functional index.';
    END IF;
END; //
DELIMITER ;
4
Modify the application logic or trigger to either reject the data with a clear error message or, if appropriate, sanitize/transform the data to fit within the acceptable range.
N/A
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