IS_VALID_JSON_ARRAY function
Note
JSON_PARSE and its associated functions parse JSON values as SUPER, which Amazon Redshift parses more efficiently than VARCHAR.
Instead of using IS_VALID_JSON_ARRAY, we recommend that you parse your JSON strings using the JSON_PARSE function to get a SUPER value. Then, use the IS_ARRAY function function to confirm that the array is properly formed.
The IS_VALID_JSON_ARRAY function validates a JSON array. The function returns Boolean
true if the array is properly formed JSON or
false if the array is malformed. To validate a JSON
string, use IS_VALID_JSON function
For more information, see JSON functions.
Syntax
IS_VALID_JSON_ARRAY('json_array')
Arguments
- json_array
-
A string or expression that evaluates to a JSON array.
Return type
BOOLEAN
Examples
To create a table and insert JSON strings for testing, use the following example.
CREATE TABLE test_json_arrays(id int IDENTITY(0,1), json_arrays VARCHAR);
-- Insert valid JSON array strings --
INSERT INTO test_json_arrays(json_arrays)
VALUES('[]'),
('["a","b"]'),
('["a",["b",1,["c",2,3,null]]]');
-- Insert invalid JSON array strings --
INSERT INTO test_json_arrays(json_arrays)
VALUES('{"a":1}'),
('a'),
('[1,2,]');To validate the strings in the preceding example, use the following example.
SELECT json_arrays, IS_VALID_JSON_ARRAY(json_arrays)
FROM test_json_arrays ORDER BY id;
+------------------------------+---------------------+
| json_arrays | is_valid_json_array |
+------------------------------+---------------------+
| [] | true |
| ["a","b"] | true |
| ["a",["b",1,["c",2,3,null]]] | true |
| {"a":1} | false |
| a | false |
| [1,2,] | false |
+------------------------------+---------------------+