ER_JSON_VALUE_TOO_BIG (SQLSTATE 22032) is raised when a JSON document exceeds MySQL's 4GB limit for a single JSON value or column.
ER_JSON_VALUE_TOO_BIG appears when a JSON document surpasses MySQL’s 4GB limit for a single JSON value. Reduce the payload size, split the data across rows, or store large objects in BLOB columns to resolve the issue.
ER_JSON_VALUE_TOO_BIG
MySQL raises error ER_JSON_VALUE_TOO_BIG (SQLSTATE 22032) when it attempts to insert, update, or generate a JSON value whose encoded size is greater than 4,294,967,295 bytes. The server enforces this limit to protect internal 32-bit length fields.
The condition applies to JSON columns, functions such as JSON_ARRAYAGG, and replication events that carry oversized payloads.
Applications often concatenate rows into one massive JSON array, accidentally exceeding the limit.
Storing binary files or images inside a JSON object instead of a BLOB column quickly inflates the document size.
GROUP_CONCAT or JSON_ARRAYAGG without length restrictions can create gigantic results during SELECT or INSERT ... SELECT statements.
First, measure the payload size with OCTET_LENGTH or CHAR_LENGTH; any value above 4GB will fail.
Split the JSON document into logical segments and store them across multiple rows or tables, using foreign keys to preserve relationships.
Move large binaries to dedicated BLOB columns or external object storage, keeping only metadata in the JSON field.
ETL jobs ingesting third-party API responses can overshoot the limit; add pagination or chunking to keep each row below 4GB.
Analytics queries producing JSON with JSON_ARRAYAGG should stream results to the client or apply LIMIT/OFFSET batching.
Validate JSON size in application code before every INSERT or UPDATE.
Set conservative max_allowed_packet and alert when payloads approach the limit.
Model data relationally when documents frequently exceed megabytes.
ER_JSON_DOCUMENT_TOO_DEEP appears when nesting depth exceeds 100 levels; flatten hierarchy to resolve.
ER_INVALID_JSON_TEXT signals malformed JSON; sanitize input and validate with JSON_VALID().
Bulk ingest of large JSON payloads returned by REST APIs can create documents above 4GB.
Storing images, PDFs, or base64 blobs inside JSON objects quickly blows past size limits.
Queries using JSON_ARRAYAGG or GROUP_CONCAT without a guard rail can generate huge JSON strings during runtime.
Triggered when JSON nesting exceeds 100 levels; flatten hierarchy.
Occurs on malformed JSON strings; validate with JSON_VALID().
Raised when non-JSON columns exceed their defined length; increase column size or trim data.
No. The limit is hard-coded because internal length fields are 32-bit. Split your data instead.
max_allowed_packet must also be large enough, but even with a high setting the 4GB JSON cap still applies.
Compression may reduce storage, but MySQL checks the uncompressed size. Compress data before embedding or use BLOB columns.
Galaxy's editor highlights affected INSERT/UPDATE statements and its AI copilot suggests schema redesigns, preventing oversized JSON writes.
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