Amazon Redshift will no longer support the creation of new Python UDFs starting November 1, 2025.
If you would like to use Python UDFs, create the UDFs prior to that date.
Existing Python UDFs will continue to function as normal. For more information, see the
blog post
JSON_SERIALIZE_TO_VARBYTE function
The JSON_SERIALIZE_TO_VARBYTE function converts a SUPER value to a JSON string
similar to JSON_SERIALIZE(), but stored in a VARBYTE value instead.
Syntax
JSON_SERIALIZE_TO_VARBYTE(super_expression)
Arguments
- super_expression
-
A
SUPERexpression or column.
Return type
VARBYTE
Examples
To serialize a SUPER value and returns the result in VARBYTE format, use the following example.
SELECT JSON_SERIALIZE_TO_VARBYTE(JSON_PARSE('[10001,10002,"abc"]'));+----------------------------------------+ | json_serialize_to_varbyte | +----------------------------------------+ | 5b31303030312c31303030322c22616263225d | +----------------------------------------+
To serialize a SUPER value and casts the result to VARCHAR format, use the following example. For more information, see CAST function.
SELECT CAST((JSON_SERIALIZE_TO_VARBYTE(JSON_PARSE('[10001,10002,"abc"]'))) AS VARCHAR);+---------------------------+ | json_serialize_to_varbyte | +---------------------------+ | [10001,10002,"abc"] | +---------------------------+