Error
Error Code: 3050

MySQL Error 3050: Range Error in Function Call

📦 MySQL
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Description

MySQL Error 3050, 'Range error: %s in function %s,' occurs when a value supplied to a SQL function falls outside the acceptable limits or domain for that function. This typically indicates that an argument is too large, too small, or otherwise invalid for the specific operation it's intended to perform, preventing the function from executing correctly.
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Error Message

Range error: %s in function %s.
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Known Causes

4 known causes
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Numeric Value Out of Bounds
Providing a numeric value to a function or operation that exceeds the maximum or falls below the minimum limit for the expected data type or mathematical domain.
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Invalid Date or Time Component
Supplying a date or time part (e.g., month, day, hour) that is outside the valid range for a date/time function or data type.
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Incorrect Function Argument Range
An argument passed to a function (e.g., SUBSTRING, INTERVAL) is syntactically correct but semantically outside the valid range expected by the function's logic.
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Data Type Mismatch or Implicit Conversion Issue
Attempting to store or convert a value into a data type where the value's magnitude makes it out of range for the target type, often during an implicit conversion.
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Solutions

3 solutions available

1. Review Function Arguments for Out-of-Range Values easy

Inspect the values passed to the function that triggered the error.

1
Identify the function and the specific argument causing the 'range error'. The error message '%s in function %s' should provide clues. The first '%s' is the problematic value, and the second '%s' is the function name.
Examine your SQL query or application code that calls the identified function.
2
Check the data types and expected ranges for the arguments of the function. Consult the MySQL documentation for the specific function being used.
Example: If the function expects a date and you're passing a string like '2023-13-01', the month '13' is out of range.
3
Modify the calling query or application code to provide valid arguments within the expected range.
If the function is `STR_TO_DATE(string, format)`, ensure the `string` conforms to the `format` and represents a valid date/time.

2. Validate Input Data Before Function Call medium

Implement checks in your application logic or SQL to ensure data is valid before it reaches the function.

1
In your application code (e.g., Python, PHP, Java), add validation logic to check input values against expected ranges or formats before passing them to MySQL.
Python Example:
python
import datetime

def is_valid_date(date_str):
    try:
        datetime.datetime.strptime(date_str, '%Y-%m-%d')
        return True
    except ValueError:
        return False

user_input_date = '2023-13-01'
if not is_valid_date(user_input_date):
    print('Error: Invalid date provided.')
else:
    # Proceed to call MySQL function
    pass
2
Alternatively, use SQL's built-in validation mechanisms. For stored procedures or triggers, you can add `IF` statements to check argument validity.
SQL Example (within a stored procedure):
sql
DELIMITER //

CREATE PROCEDURE my_procedure(IN input_value INT)
BEGIN
    IF input_value < 0 OR input_value > 100 THEN
        SIGNAL SQLSTATE '45000' SET MESSAGE_TEXT = 'Input value out of range.';
    ELSE
        -- Proceed with logic using input_value
    END IF;
END //

DELIMITER ;
3
For specific functions like `DATE()`, `TIME()`, `STR_TO_DATE()`, ensure the input strings are correctly formatted and represent valid date/time components. Use `DATE_FORMAT()` for output formatting if needed, but focus on input validation for this error.
Avoid passing `NULL` to functions that do not explicitly support it and expect a value within a certain range. Consider using `COALESCE()` if `NULL` is a possibility and you need to substitute a default value.

3. Examine Data Integrity and Schema Constraints medium

Ensure the data stored in your tables adheres to defined constraints.

1
Review the schema definitions for tables involved in the operation that's causing the error. Pay close attention to `CHECK` constraints, `ENUM` types, or `SET` types that enforce value ranges.
Example: A column defined as `status ENUM('active', 'inactive')` would cause a range error if an attempt is made to insert 'pending'.
2
Run queries to identify rows that violate these constraints. This might involve looking for data that could be misinterpreted by a function call.
For a column with a `CHECK` constraint like `amount INT CHECK (amount >= 0)`, you might query:
sql
SELECT * FROM your_table WHERE amount < 0;
3
Cleanse the data by updating or deleting rows that violate constraints. Ensure data insertion processes also include validation to prevent future occurrences.
Update invalid data:
sql
UPDATE your_table SET amount = 0 WHERE amount < 0;
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Related Errors

5 related errors