Amazon Redshift will no longer support the use of Python UDFs after June 30, 2026.
We will start enforcing it in phases. For more information on the details of Python end of life
and migration options, see the
blog post
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 | +------------------------------+---------------------+
