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
SYS_DATASHARE_CROSS_REGION_USAGE
Use the SYS_DATASHARE_CROSS_REGION_USAGE view to get a summary of cross-Region data transferred usage caused by cross-Region datasharing query. SYS_DATASHARE_CROSS_REGION_USAGE aggregates details at the segment level.
SYS_DATASHARE_CROSS_REGION_USAGE is visible only to superusers. For more information, see Visibility of data in system tables and views.
Table columns
| Column name | Data type | Description |
|---|---|---|
| query_id | integer | The ID of the query. Use this value to join other system tables and views. |
| child_query_sequence | integer | The sequence of the rewritten user query, starting with 1. |
| segment_id | bigint | The number of the segment. A query consists of multiple segments, and each segment consists of one or more steps. |
| start_time | time | The time in UTC that the data transfer began. |
| end_time | time | The time in UTC that the data transfer ended. |
| transferred_data | bigint | The number of bytes of data transferred from a producer Region to a consumer Region. |
| source_region | char(25) | The producer Region that the query transferred data from. |
Sample queries
The following example shows a SYS_DATASHARE_CROSS_REGION_USAGE view.
SELECT query_id, segment_id, transferred_data, source_region from sys_datashare_cross_region_usage where query_id = pg_last_query_id() order by query_id, segment_id; query_id | segment_id | transferred_data | source_region -----------+------------+------------------+--------------- 200048 | 2 | 4194304 | us-west-1 200048 | 2 | 4194304 | us-east-2
