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
SVV_TABLES
Use SVV_TABLES to view tables in local and external catalogs.
SVV_TABLES is visible to all users. Superusers can see all rows; regular users can see only their own data. For more information, see Visibility of data in system tables and views.
Table columns
Column name | Data type | Description |
---|---|---|
table_catalog | text | The name of the catalog where the table exists. |
table_schema | text | The name the schema for the table. |
table_name | text | The name of the table. |
table_type | text | The type of table. Possible values are views, external tables, and base tables. |
remarks | text | Remarks. |