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Description

This error indicates that MySQL encountered a JSON value in a binary format (e.g., stored in a JSON column or processed by a JSON function) that does not conform to the valid JSON specification. It typically occurs when attempting to read, process, or insert data that was either corrupted, malformed, or incorrectly encoded as JSON.

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Error Message

The JSON binary value contains invalid data.

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Known Causes

4 known causes

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Malformed JSON String Input

The original string used to create the JSON binary value was syntactically incorrect, missing quotes, commas, or brackets.

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Incorrect Character Encoding

The JSON data was encoded using a character set incompatible with UTF-8, leading to corrupted binary representation when processed by MySQL.

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Data Corruption

The JSON binary data became corrupted during network transfer, disk write, or storage, resulting in an invalid internal structure.

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Truncated JSON Value

The JSON binary value was cut off or truncated, making it incomplete and syntactically invalid for MySQL to parse.

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Solutions

3 solutions available

1. Validate and Re-insert JSON Data medium

Identify and correct the invalid JSON string before inserting it into the database.

1

Identify the specific row and column containing the invalid JSON data. You might need to query your table to find suspect entries. Look for data that was recently inserted or updated.

SELECT * FROM your_table WHERE your_json_column LIKE '%invalid_character%' OR your_json_column LIKE '%malformed_json%';

2

Extract the problematic JSON string from the database.

SELECT your_json_column FROM your_table WHERE primary_key_column = 'specific_id';

3

Use a JSON validator (online tools or programming language libraries) to identify the exact syntax errors in the extracted JSON string. Common issues include missing commas, incorrect quotation marks, or unbalanced brackets.

Paste the JSON string into a validator like JSONLint (https://jsonlint.com/) or use a Python script:
python
import json

json_string = 'your_invalid_json_here'
try:
    json.loads(json_string)
    print('Valid JSON')
except json.JSONDecodeError as e:
    print(f'Invalid JSON: {e}')

4

Correct the invalid JSON string based on the validator's feedback.

Example of correction: changing 'key': value to 'key': "value" if value was not enclosed in quotes, or adding a missing comma.

5

Update the row in your table with the corrected JSON string.

UPDATE your_table SET your_json_column = 'your_corrected_json_string' WHERE primary_key_column = 'specific_id';

2. Sanitize JSON Input at Application Level medium

Implement robust JSON validation and sanitization in your application code before sending data to MySQL.

1

Before sending any JSON data to your MySQL database, parse it using a reliable JSON parser within your application's programming language.

Example in Python:
python
import json

def insert_data(json_payload):
    try:
        valid_json = json.loads(json_payload)
        # Proceed with database insertion using valid_json
        print('JSON is valid, proceeding with insertion.')
    except json.JSONDecodeError as e:
        print(f'Error: Invalid JSON payload - {e}')
        # Handle the error: log it, return an error message to the user, etc.

# Example usage:
valid_json_string = '{"name": "Alice", "age": 30}'
invalid_json_string = '{"name": "Bob", "age":}'

insert_data(valid_json_string)
insert_data(invalid_json_string)

2

If the JSON is invalid, catch the parsing error and provide informative feedback to the user or log the error for debugging. Do not attempt to insert invalid JSON into the database.

Refer to the `except` block in the Python example above.

3

Ensure that any data being serialized into JSON from your application is correctly formatted. This might involve checking data types and ensuring proper string escaping.

When generating JSON in JavaScript:
javascript
const data = {
  name: 'Charlie',
  details: {
    city: 'New York',
    zip: 10001
  }
};

try {
  const jsonString = JSON.stringify(data);
  // Send jsonString to your backend for database insertion
  console.log('Successfully stringified JSON');
} catch (error) {
  console.error('Error stringifying JSON:', error);
}

3. Recreate Stored Procedure or Function with JSON Validation advanced

Modify stored procedures or functions that handle JSON to include validation before processing.

1

Identify any stored procedures or functions in your MySQL database that accept or manipulate JSON data. These are often the source of invalid data if not properly handled.

SHOW PROCEDURE STATUS WHERE Db = 'your_database_name';
SHOW FUNCTION STATUS WHERE Db = 'your_database_name';

2

Examine the code of these procedures/functions. Look for areas where JSON is being constructed or passed as a string. If direct string manipulation is occurring, it's a prime candidate for issues.

Example of a problematic pattern:
sql
CREATE PROCEDURE insert_json_data(IN json_input TEXT)
BEGIN
    -- Directly inserting without validation
    INSERT INTO your_table (json_column) VALUES (json_input);
END;

3

Modify the procedure/function to use MySQL's built-in JSON functions for validation and manipulation. The `JSON_VALID()` function is crucial here.

Revised procedure with validation:
sql
DELIMITER //
CREATE PROCEDURE insert_validated_json_data(IN json_input TEXT)
BEGIN
    IF JSON_VALID(json_input) THEN
        INSERT INTO your_table (json_column) VALUES (CAST(json_input AS JSON));
        SELECT 'JSON data inserted successfully.' AS message;
    ELSE
        SIGNAL SQLSTATE '45000' SET MESSAGE_TEXT = 'Invalid JSON data provided.';
    END IF;
END //
DELIMITER ;

4

When calling the modified procedure/function, ensure you are passing valid JSON. If the procedure raises an error, it indicates the input was invalid.

CALL insert_validated_json_data('{"key": "value"}'); -- Valid
CALL insert_validated_json_data('{"key": value}'); -- Invalid, will raise error

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Related Errors

5 related errors

MySQL Error 3142: Invalid JSON Binary Data