The ER_INVALID_JSON_TEXT error means MySQL rejected a string because it is not well-formed JSON at the point indicated in the message.
ER_INVALID_JSON_TEXT (error 3140, SQLSTATE 22032) appears when MySQL finds malformed JSON inside an INSERT, UPDATE, or function call. Fix it by correcting the JSON syntax at the reported position or by wrapping the value with JSON_QUOTE/JSON_VALID before persistence.
ER_INVALID_JSON_TEXT
MySQL throws ER_INVALID_JSON_TEXT when it tries to parse a value declared as JSON but the text does not conform to the JSON standard. The error includes the offending fragment and its position, helping you locate the fault quickly.
This validation happens during INSERT, UPDATE, LOAD DATA, or when JSON functions like JSON_EXTRACT evaluate improperly formatted text. Starting in MySQL 5.7.8, every JSON column and function enforces strict RFC-7159 rules.
Most incidents arise from typos such as missing quotes, extra commas, unescaped characters, or single quotes around keys. MySQL stops execution as soon as it detects the first illegal character.
The error also appears when non-JSON strings are cast or inserted into a native JSON column without prior validation or quoting.
First, read the position and fragment reported in the message. Correct the JSON string locally or with JSON_QUOTE before sending it to the server.
Second, validate suspect strings with JSON_VALID or by running them through JSON_PRETTY to reveal structure problems.
Bulk imports often fail because CSV fields mix double quotes poorly. Pre-clean the file or LOAD DATA into VARCHAR then convert only valid rows.
Applications building JSON via string concatenation are prone to comma mistakes. Switch to parameterized builders or MySQL JSON_OBJECT, which guarantees valid output.
Always validate JSON client-side before sending it. Use strict typing in ORMs so that only JSON-encoded objects reach MySQL.
Enable sql_mode=STRICT_ALL_TABLES to catch malformed JSON early, and add CHECK(JSON_VALID(column)) constraints in 8.0.17+.
Error 3141 (ER_INVALID_JSON_CHARSET) fires if the string is valid JSON but not in utf8mb4. Convert the text with CONVERT(... USING utf8mb4) first.
Error 3143 (ER_INVALID_JSON_PATH) occurs when a JSON path expression is malformed. Validate the path with JSON_STORAGE_SIZE or JSON_EXTRACT before use.
Example: {"id":1,}. The comma after the last element violates JSON syntax.
Keys must be in double quotes and string values must use double quotes as well.
Backslash n, tab, or other control bytes embedded without proper escaping will trigger the error.
JSON text has the wrong character set. Convert to utf8mb4.
A JSON function received text in a non-utf8mb4 charset.
The supplied JSON path expression is malformed.
General JSON parse failure often surfaced by JSON_TABLE.
Yes. When running in strict mode, MySQL aborts the statement and rolls back the transaction if JSON is invalid.
Yes. Use a VARCHAR or TEXT column instead of JSON, or cast with CAST(value AS CHAR) to bypass parsing.
Run SELECT * FROM tbl WHERE NOT JSON_VALID(json_col) to isolate invalid entries.
Galaxy's AI copilot formats JSON strings, flags syntax issues in real time, and validates values with JSON_VALID previews before you run the query.
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