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_GEOGRAPHY_COLUMNS
Use SVV_GEOGRAPHY_COLUMNS to view the list of GEOGRAPHY columns in your data warehouse. This list of columns includes columns from datashares.
SVV_GEOGRAPHY_COLUMNS 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 |
|---|---|---|
| f_table_catalog | varchar(128) | The name of the database where the table with the GEOGRAPHY column exists. |
| f_table_schema | varchar(128) | The name of the schema where the table with the GEOGRAPHY column exists. |
| f_table_name | varchar(128) | The name of the table where the GEOGRAPHY column exists. |
| f_geography_column | varchar(128) | The name of the GEOGRAPHY column. |
| coord_dimension | integer | The number of dimensions of the GEOGRAPHY data. |
| srid | integer | The spatial reference system identifier (SRID) of the GEOGRAPHY data. |
| type | varchar(128) | The spatial geography data type name. |
Sample query
The following example displays the result of the SVV_GEOGRAPHY_COLUMNS.
SELECT * FROM svv_geography_columns;f_table_catalog | f_table_schema | f_table_name | f_geography_column | coord_dimension | srid | type -----------------+-----------------+---------------+---------------------+-----------------+------+-------------- dev | public | spatial_test | test_geography | 2 | 0 | GEOGRAPHY