Error
Error Code: 1584

MySQL Error 1584: Incorrect Stored Function Parameters

📦 MySQL
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Description

MySQL Error 1584 indicates that a call to a stored function was made with parameters that do not match its definition. This typically means there's a mismatch in the number, data types, or order of arguments provided versus what the function expects.
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Error Message

Incorrect parameters in the call to stored function %s
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Known Causes

4 known causes
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Incorrect Number of Arguments
The stored function was invoked with either more or fewer arguments than specified in its creation definition.
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Data Type Mismatch
One or more arguments passed to the function have data types that are incompatible with the corresponding parameters defined for the function.
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Argument Order Discrepancy
The arguments were supplied in an order that does not align with the sequence of parameters defined in the stored function's signature.
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Stale Function Definition
The stored function's definition (parameters) was recently modified, but the calling application or script has not been updated to reflect these changes.
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Solutions

3 solutions available

1. Verify Function Signature and Call Arguments easy

Ensure the number and data types of arguments passed to the function match its definition.

1
Inspect the stored function's definition to understand its expected parameters. You can do this using `SHOW CREATE FUNCTION`.
SHOW CREATE FUNCTION your_function_name;
2
Carefully examine the SQL statement that calls the stored function. Compare the number of arguments and their data types with the function's definition.
-- Example of a function definition:
-- CREATE FUNCTION calculate_discount(price DECIMAL(10,2), discount_rate DECIMAL(4,2)) RETURNS DECIMAL(10,2)

-- Incorrect call (too few arguments):
SELECT calculate_discount(100.00);

-- Incorrect call (wrong data type):
SELECT calculate_discount(100, '10%');

-- Correct call:
SELECT calculate_discount(100.00, 0.10);
3
If there's a mismatch, correct the function call to accurately reflect the function's signature. Pay close attention to data type conversions. If a parameter expects an integer, pass an integer, not a string that looks like an integer.
-- Corrected call example:
SELECT calculate_discount(100.00, 0.10);

2. Check for NULL Values in Arguments easy

Ensure that no NULL values are being passed to stored function parameters that do not explicitly allow NULL.

1
Review the stored function's definition to see if any parameters are defined as `NOT NULL`. Functions often have implicit `NOT NULL` constraints on parameters unless specified otherwise.
SHOW CREATE FUNCTION your_function_name;
2
Examine the data being passed to the function call. If any of the columns or variables used as arguments can contain NULL values, this could be the cause.
-- Assume 'price' column can be NULL:
SELECT calculate_discount(price, 0.10) FROM products WHERE id = 1;
3
Modify the query to handle potential NULL values. This can be done using `COALESCE` or `IFNULL` to provide a default value, or by filtering out rows where the argument would be NULL.
-- Using COALESCE to provide a default value (e.g., 0.00 if price is NULL):
SELECT calculate_discount(COALESCE(price, 0.00), 0.10) FROM products WHERE id = 1;

-- Filtering out rows with NULL price:
SELECT calculate_discount(price, 0.10) FROM products WHERE id = 1 AND price IS NOT NULL;

3. Recreate the Stored Function medium

If the function definition has become corrupted or inconsistent, recreating it can resolve the issue.

1
Backup the existing stored function's definition. This is crucial in case the recreation process fails or you need to revert.
SHOW CREATE FUNCTION your_function_name;
-- Copy the output and save it to a file (e.g., function_backup.sql)
2
Drop the existing stored function.
DROP FUNCTION IF EXISTS your_function_name;
3
Recreate the stored function using the backed-up definition or a known good version.
-- Paste the content from your function_backup.sql file here
CREATE FUNCTION your_function_name(...) RETURNS ...
...
4
Test the stored function thoroughly after recreation with various valid and invalid parameter combinations to ensure it's working as expected.
SELECT your_function_name(valid_arg1, valid_arg2);
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