Limitations for using the SUPER data type with materialized views - Amazon Redshift
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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 .

Limitations for using the SUPER data type with materialized views

With Amazon Redshift, you can create materialized views with the SUPER data type to pre-compute complex queries and improve query performance. The SUPER data type lets you store the result set of a query as a flat data structure, enabling faster access and processing.

The following sections provide details on limitations and best practices for using the SUPER data type with materialized views in Amazon Redshift.

Materialized views in Amazon Redshift don't have any specific limitations with respect to PartiQL or SUPER.

For information about general SQL limitations when creating materialized views, see Limitations.

For information about general SQL limitations on incremental refresh of materialized views, see Limitations for incremental refresh.