3152
MariaDBERRORNotableJSONHIGH confidence
JSON_TABLE: error processing field
Production Risk
Medium — hard error stops query execution; use NULL ON ERROR in production.
What this means
During JSON_TABLE evaluation, an error occurred when extracting or converting a value from the JSON document for a specific column definition. The column path may not exist or the value cannot be converted to the target type.
Why it happens
- 1The JSON path expression does not match any value in the JSON document.
- 2The extracted JSON value cannot be coerced to the column type specified in JSON_TABLE.
How to reproduce
trigger — this will error
trigger — this will error
SELECT * FROM JSON_TABLE('{"a": "text"}', '#x27; COLUMNS(n INT PATH '$.n' ERROR ON ERROR)) AS jt;expected output
ERROR 3152 (HY000): JSON_TABLE: Got NULL with an error on field '$.n'
Fix 1
Use NULL ON ERROR or DEFAULT ON ERROR
Use NULL ON ERROR or DEFAULT ON ERROR
SELECT * FROM JSON_TABLE('{"a": "text"}', '#x27; COLUMNS(n INT PATH '$.n' NULL ON ERROR)) AS jt;Why this works
NULL ON ERROR returns NULL instead of raising an error for missing or unconvertible values.
Fix 2
Validate the JSON structure before querying
Validate the JSON structure before querying
SELECT * FROM t1 WHERE JSON_CONTAINS_PATH(json_col, 'one', '$.n');
Why this works
Pre-filter rows that have the required JSON path.
What not to do
✕
Sources
Official documentation ↗
MySQL 8.0 — 3152 ER_JSON_TABLE_ERROR_ON_FIELD
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