Error
Error Code: 1411

MariaDB Error 1411: Incorrect Value for Function Argument

📦 MariaDB
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Description

This error indicates that a function in your SQL statement has received an argument with a value or data type that is not compatible with what the function expects. It typically occurs when you provide an invalid input for a function parameter, preventing the function from executing correctly and leading to a runtime error.
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Error Message

Incorrect %s value: '%s' for function %s
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Known Causes

3 known causes
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Data Type Mismatch
The argument provided to the function has a data type (e.g., string instead of number) that does not match the function's expected parameter type.
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Value Out of Range
The argument's value is outside the acceptable range for the function's parameter (e.g., a negative number for a function expecting positive integers or an invalid date component).
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Incorrect Literal Format
A literal value (such as a date, time, or spatial data string) is not formatted according to the function's parsing rules, leading to an uninterpretable input.
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Solutions

3 solutions available

1. Verify Function Argument Data Types and Values easy

Ensure the data type and value of the argument passed to the function match its expected signature.

1
Identify the specific function and the argument causing the error from the error message. The format is 'Incorrect %s value: '%s' for function %s'. The first '%s' is the expected data type, the second '%s' is the incorrect value, and the third '%s' is the function name.
Example: 'Incorrect VARCHAR value: '123a' for function CONCAT_WS'
2
Consult the MariaDB documentation for the specific function to understand its expected argument types and valid value ranges.
Example: For `CONCAT_WS`, check its documentation for expected separator and string arguments.
3
Review your SQL query and the data being passed to the function. Correct any data type mismatches or invalid values. For instance, if a function expects an integer but receives a string with non-numeric characters, you'll need to clean or cast the data.
If a function expects a number and you're passing a string like '123a', cast it to a numeric type if possible, or ensure the source data is clean:

`SELECT CAST('123' AS UNSIGNED INTEGER) FROM your_table;`

Or, if it's a string concatenation issue, ensure all parts are strings:

`SELECT CONCAT_WS(',', 'part1', 'part2') FROM your_table;`

2. Inspect and Correct Data Source for Function Arguments medium

Trace the origin of the incorrect data and fix it at the source or during data insertion/update.

1
Determine which table and column(s) are providing the data for the function argument that is causing the error.
If the error occurs during a `SELECT` statement, identify the column involved in the function call.
2
Query the relevant table to inspect the data in the problematic column. Look for values that do not conform to the expected data type or format.
SELECT problematic_column FROM your_table WHERE ...;

Look for unexpected characters, incorrect formats (e.g., dates not in YYYY-MM-DD format if expected), or values outside a defined range.
3
If the data is incorrect, update the existing records in the table to correct the values.
UPDATE your_table SET problematic_column = 'correct_value' WHERE id = ...;

For example, to clean up a numeric column that might have non-numeric characters:

`UPDATE your_table SET numeric_column = CAST(REPLACE(REPLACE(numeric_column, 'a', ''), 'b', '') AS UNSIGNED INTEGER) WHERE ...;`
4
If this error occurs during data insertion or updates, modify your application code or data import scripts to ensure that valid data is being provided.
Example (conceptual application code): 

javascript
const valueFromUser = getUserInput();
if (!isValidNumeric(valueFromUser)) {
  throw new Error('Invalid input: must be a number.');
}
// Proceed with database operation

3. Review and Adjust Function Usage in Stored Procedures or Views medium

Examine the logic within stored procedures or views where the problematic function is called.

1
If the error occurs within a stored procedure, view, or trigger, locate the code that calls the function with the incorrect argument.
Use `SHOW CREATE PROCEDURE procedure_name;` or `SHOW CREATE VIEW view_name;` to get the definition.
2
Analyze the data flow and logic leading up to the function call. Identify how the arguments are being generated or passed.
Trace variable assignments and conditional logic within the procedure/view.
3
Add intermediate steps or debugging within the stored procedure/view to inspect the values of the arguments just before they are passed to the function. This might involve using `SELECT` statements within the procedure or setting session variables.
Example within a stored procedure:

sql
DECLARE my_variable VARCHAR(255);
-- ... logic to set my_variable ...
SELECT CONCAT('Value before function: ', my_variable) AS debug_message;
-- Call the function here
SELECT some_function(my_variable);
4
Modify the logic to ensure that the arguments are correctly formatted or converted before being passed to the function. This might involve using `COALESCE`, `CAST`, `IFNULL`, or string manipulation functions.
Example: Ensuring a nullable column is treated as a string for `CONCAT_WS`:

sql
SELECT CONCAT_WS(',', COALESCE(nullable_column, ''), 'default_value') FROM your_table;
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