Error
Error Code: 22023

PostgreSQL Error 22023: Invalid Parameter Value

📦 PostgreSQL
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Description

This error indicates that a value provided to a function, operator, or command is not acceptable. It typically occurs when a parameter's data type, format, or range does not meet the expected requirements of the PostgreSQL operation.
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Error Message

invalid parameter value
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Known Causes

3 known causes
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Incorrect Data Type
Providing a parameter with a data type that does not match the expected type for the function or operator, such as passing a string where an integer is required.
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Value Out of Valid Range
Supplying a numeric or datetime parameter with a value that falls outside its permissible range, like a negative length for a string function or an invalid date component.
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Malformed Input Format
Passing a string or other literal that cannot be correctly parsed or converted into the target data type, failing to adhere to the expected format for a conversion.
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Solutions

4 solutions available

1. Validate Data Types and Input Values easy

Ensure data being inserted or updated matches the column's defined data type and adheres to any constraints.

1
Review the SQL query that is causing the error. Pay close attention to the values being passed to `INSERT` or `UPDATE` statements.
2
Compare the data types of the values in your query with the data types of the corresponding columns in the PostgreSQL table. For example, if a column is an `INTEGER`, ensure you are not trying to insert text or a floating-point number.
SELECT column_name, data_type FROM information_schema.columns WHERE table_name = 'your_table_name';
3
Check for specific constraints like `CHECK` constraints, `UNIQUE` constraints, or `FOREIGN KEY` constraints. The error might arise from violating these rules.
SELECT conname, pg_get_constraintdef(oid) FROM pg_constraint WHERE conrelid = 'your_table_name'::regclass;
4
Correct the values in your query to match the expected data types and constraints. If inserting data from an external source, ensure proper data cleaning and transformation.
-- Example: If 'age' column is INTEGER, ensure value is numeric.
UPDATE your_table_name SET age = 30 WHERE id = 1;
-- Example: If 'status' column is VARCHAR and has a CHECK constraint for 'active' or 'inactive'.
UPDATE your_table_name SET status = 'active' WHERE id = 2;

2. Inspect Function and Procedure Arguments medium

Verify that arguments passed to PostgreSQL functions or procedures are of the correct type and format.

1
Identify if the error occurs during the execution of a user-defined function or stored procedure.
2
Examine the function or procedure definition to understand the expected data types and order of its arguments.
SELECT proargtypes::regtype[] FROM pg_proc WHERE proname = 'your_function_name';
3
Review the call to the function or procedure. Ensure that the arguments provided match the expected types and are in the correct order. Pay attention to implicit type casting, which might fail.
-- Example: Calling a function that expects an integer but receives a string.
-- Incorrect: SELECT your_function_name('invalid_number');
-- Correct: SELECT your_function_name(123);
4
If necessary, explicitly cast argument values to the correct data type before passing them to the function or procedure.
-- Example: Casting a text value to an integer.
SELECT your_function_name(CAST('123' AS INTEGER));

3. Address Invalid Characters or Formatting in String Inputs easy

Clean up string inputs that contain unexpected or invalid characters, especially when dealing with string manipulation or pattern matching.

1
If the error occurs during string operations (e.g., `LIKE`, `SIMILAR TO`, string concatenation, or functions like `trim()`, `replace()`), check the input strings for unusual characters.
2
Look for control characters, non-printable characters, or characters that might be misinterpreted by the SQL parser or function. This is common when data is copied from various sources.
3
Use string manipulation functions to clean the input data. For example, `trim()` to remove leading/trailing whitespace or `replace()` to remove specific problematic characters.
-- Example: Removing leading/trailing whitespace.
UPDATE your_table_name SET description = trim(description);
-- Example: Removing specific invalid characters (e.g., newline characters).
UPDATE your_table_name SET notes = replace(notes, E'\n', '');
4
If dealing with regular expressions, ensure the pattern is correctly formatted and doesn't contain invalid syntax for PostgreSQL's regex engine.

4. Review Connection String and Client-Side Parameters medium

Ensure that connection parameters and client-side settings are valid and correctly configured.

1
If the error appears immediately upon connecting or during initial interactions, it might be related to connection parameters or how your client application is configured.
2
Check your connection string for any malformed parameters or incorrect values. Common parameters include `host`, `port`, `dbname`, `user`, `password`, `sslmode`, and `application_name`.
3
If using a connection pooler or a specific driver, consult its documentation for valid parameter settings. Some drivers might have specific requirements for certain PostgreSQL parameters.
4
For example, if `sslmode` is set to `require` but the server is not configured for SSL, or if a parameter expects a boolean but receives a string, this error can occur. Adjust the parameters in your connection string or client configuration accordingly.
-- Example: Ensure 'sslmode' value is valid for your PostgreSQL server configuration.
-- If server doesn't support SSL, use 'sslmode=disable'.
-- If server requires SSL, ensure it's configured correctly and 'sslmode=require'.
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