Error
Error Code:
1583
MySQL Error 1583: Invalid Built-in Function Arguments
Description
MySQL Error 1583 indicates that a native (built-in) function in your SQL query has been called with incorrect parameters. This typically means the function received the wrong number of arguments, arguments of an incorrect data type, or argument values that are not permissible for that specific function's operation. The error occurs during query execution, preventing the statement from completing successfully.
Error Message
Incorrect parameters in the call to native function '%s'
Known Causes
3 known causesIncorrect Argument Count
A native MySQL function was invoked with a number of arguments that does not match its expected signature (too few or too many).
Mismatched Argument Data Type
An argument supplied to a native function is of a data type different from what the function expects for that parameter (e.g., passing a string where a number is required).
Invalid Argument Value
Even if the argument's data type is correct, its specific value is outside the permissible range or context for the function (e.g., a negative length for a string manipulation function).
Solutions
4 solutions available1. Verify Function Name and Syntax easy
Ensure the built-in MySQL function is spelled correctly and used with the correct number and types of arguments.
1
Identify the specific native function mentioned in the error message (the '%s' placeholder).
2
Consult the MySQL documentation for the correct syntax and expected arguments of that function.
Example: If the error mentions `STR_TO_DATE`, check its documentation for the correct format string.3
Review your SQL query and correct any typos in the function name or any incorrect number or data types of arguments passed to it.
Incorrect: SELECT STR_TO_DATE('2023-10-27', '%Y/%m/%d');
Correct: SELECT STR_TO_DATE('2023-10-27', '%Y-%m-%d');2. Check Data Types of Arguments medium
Ensure that the data types of the values being passed as arguments to the built-in function match what the function expects.
1
Determine the expected data types for each argument of the problematic native function.
Example: `DATE_FORMAT(date, format)` expects a DATE or DATETIME value for the first argument and a string for the second.2
Examine the data types of the columns or literal values you are using as arguments in your query.
SELECT DATE_FORMAT(your_column, '%Y-%m-%d') FROM your_table;3
If there's a mismatch, use MySQL's casting or conversion functions (e.g., `CAST()`, `CONVERT()`, `STR_TO_DATE()`, `DATE_FORMAT()`) to ensure the arguments are in the correct format before passing them to the native function.
Example: If `your_column` is a VARCHAR representing a date, convert it first.
SELECT DATE_FORMAT(STR_TO_DATE(your_column, '%m/%d/%Y'), '%Y-%m-%d') FROM your_table;3. Upgrade MySQL Server and Client advanced
Outdated MySQL versions might have bugs or limitations in their native functions.
1
Check your current MySQL server version.
SELECT VERSION();2
Identify if your current version is significantly old or known to have issues with specific functions.
Refer to MySQL release notes and bug reports for your version.3
Plan and execute a MySQL server upgrade to a stable, supported version. This may involve backing up your data, stopping the server, installing the new version, and restoring your data.
Refer to the official MySQL documentation for detailed upgrade instructions specific to your operating system and current/target versions.4
Ensure your MySQL client tools (e.g., MySQL Workbench, command-line client) are also updated to be compatible with the new server version.
4. Examine Complex Expressions and User-Defined Functions medium
If the error occurs within a complex expression or a user-defined function, isolate and debug the problematic part.
1
If the error occurs within a stored procedure, trigger, or view, examine the code of that object.
2
Break down complex expressions into smaller, manageable parts and test each part individually to pinpoint the exact line or function call causing the error.
Example: If you have `FUNC_A(FUNC_B(col1), FUNC_C(col2))`, test `FUNC_B(col1)` and `FUNC_C(col2)` separately.3
If you are using user-defined functions (UDFs), verify their implementation and ensure they are correctly registered and called with the expected parameters.
4
Temporarily comment out parts of the code or replace complex expressions with simpler ones to isolate the issue. Once identified, focus on correcting the arguments or logic within that specific part.