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Description

This error indicates that a MySQL function expecting JSON data received input that does not conform to the valid JSON specification. It typically occurs when using MySQL's built-in JSON functions (e.g., JSON_EXTRACT, JSON_SET) with malformed or incomplete JSON strings.

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Error Message

Invalid JSON data provided to function %s: %s

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Known Causes

4 known causes

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Invalid JSON Syntax

The provided JSON string contains syntax errors, such as missing double quotes for keys/strings, incorrect delimiters, trailing commas, or improperly nested structures.

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Non-JSON String Input

A plain string, number, or other non-JSON formatted data was supplied to a function that specifically requires a valid JSON string as input.

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Incomplete JSON Data

The JSON string is truncated or incomplete, missing essential closing brackets, braces, or quotes, which prevents successful parsing.

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Character Encoding Mismatch

The JSON data uses an incorrect or inconsistent character encoding, leading to corrupted characters that make the JSON unparseable by MySQL.

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Solutions

3 solutions available

1. Validate and Correct JSON Data Before Insertion medium

Ensure the JSON string is syntactically correct before passing it to MySQL functions.

1

Inspect the JSON string that is causing the error. This often requires debugging your application code or examining the data source.

2

Use a JSON validator (online tools or libraries in your programming language) to check for syntax errors like missing commas, unescaped special characters, or incorrect bracket placement.

3

Correct any identified JSON syntax errors in your application's data generation or retrieval process. For example, ensure all strings within the JSON are properly escaped if they contain quotes or backslashes.

4

Re-run your query or application logic with the corrected JSON data.

2. Use JSON_VALID() to Pre-check Data medium

Employ the `JSON_VALID()` function in MySQL to check if a string is valid JSON before attempting JSON operations.

1

Identify the specific query or statement that is failing due to malformed JSON. This might be an `INSERT`, `UPDATE`, or a function call like `JSON_EXTRACT`, `JSON_SET`, etc.

2

Wrap the JSON data you are passing to the function within `JSON_VALID()` in a `WHERE` clause or as a conditional in your application logic. If `JSON_VALID()` returns `0` (false), the data is malformed.

SELECT JSON_VALID('{"key": "value"}') AS valid_json;
-- Returns 1 (true)

SELECT JSON_VALID('{"key": "value"') AS valid_json;
-- Returns 0 (false) - missing closing brace

3

Modify your application code to filter out or correct invalid JSON data before it reaches MySQL. Alternatively, you can use this check within a stored procedure or trigger.

3. Handle Potential NULL or Empty JSON Values Gracefully easy

Ensure that `NULL` or empty strings are handled correctly, as they might be misinterpreted as malformed JSON.

1

Review the data being inserted or updated. If the JSON column can legitimately be `NULL` or an empty string, ensure your application logic or SQL statements account for this.

2

When inserting or updating, use `COALESCE()` or `IFNULL()` to provide a default valid JSON value (e.g., '{}' for an empty object) if the input is `NULL` or empty, if appropriate for your use case.

UPDATE your_table SET json_column = COALESCE(your_input_json, '{}') WHERE ...;

INSERT INTO your_table (json_column) VALUES (IFNULL(your_input_json, '{}'));

3

If the JSON function itself is being called on a `NULL` value, ensure you are checking for `NULL` first.

SELECT JSON_EXTRACT(your_json_column, '$.some_key') FROM your_table WHERE your_json_column IS NOT NULL;

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Related Errors

5 related errors

MySQL Error 3069: Malformed JSON Input to Function