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
STL_WLM_RULE_ACTION
Records details about actions resulting from WLM query monitoring rules associated with user-defined queues. For more information, see WLM query monitoring rules.
STL_WLM_RULE_ACTION 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 |
---|---|---|
userid | integer | User that ran the query. |
query | integer | Query ID. |
service_class | integer | ID for the service class. Query queues are defined in the WLM configuration. Service classes greater than 5 are user-defined queues. |
rule | character(256) | Name of a query monitoring rule. |
action | character(256) | Resulting action. Possible values are as follows:
A value of |
recordtime | timestamp | Time the action was logged in UTC. |
action_value | character(256) | If action is change_query_priority , then possible values are highest , high , normal , low , and lowest .
If |
service_class_name | character(64) | The name of the service class. |
Sample queries
The following example finds queries that were stopped by a query monitoring rule.
Select query, rule from stl_wlm_rule_action where action = 'abort' order by query;