STL_NESTLOOP
Analyzes nested-loop join execution steps for queries.
STL_NESTLOOP 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.
Note
STL_NESTLOOP only contains queries run on main provisioned clusters. It doesn't contain queries run on concurrency scaling clusters or on serverless namespaces. To access explain plans for queries run on both main clusters, concurrency scaling clusters, and serverless namespaces, we recommend that you use the SYS monitoring view SYS_QUERY_DETAIL . The data in the SYS monitoring view is formatted to be easier to use and understand.
Table columns
Column name | Data type | Description |
---|---|---|
userid | integer | ID of the user who generated the entry. |
query | integer | Query ID. The query column can be used to join other system tables and views. |
slice | integer | Number that identifies the slice where the query was running. |
segment | integer | Number that identifies the query segment. |
step | integer | Query step that ran. |
starttime | timestamp | Time in UTC that the query started. Total time includes queuing and execution. with 6 digits of precision for fractional seconds. For example: 2009-06-12 11:29:19.131358 . |
endtime | timestamp | Time in UTC that the query finished. Total time includes queuing and execution. with 6 digits of precision for fractional seconds. For example: 2009-06-12 11:29:19.131358 . |
tasknum | integer | Number of the query task process that was assigned to run the step. |
rows | bigint | Total number of rows that were processed. |
tbl | integer | Table ID. |
checksum | bigint | This information is for internal use only. |
Sample queries
Because the following query neglects to join the CATEGORY table, it produces a partial Cartesian product, which is not recommended. It is shown here to illustrate a nested loop.
select count(event.eventname), event.eventname, category.catname, date.caldate from event, category, date where event.dateid = date.dateid group by event.eventname, category.catname, date.caldate;
The following query shows the results from the previous query in the STL_NESTLOOP view.
select query, slice, segment as seg, step, datediff(msec, starttime, endtime) as duration, tasknum, rows, tbl from stl_nestloop where query = pg_last_query_id();
query | slice | seg | step | duration | tasknum | rows | tbl -------+-------+-----+------+----------+---------+-------+----- 6028 | 0 | 4 | 5 | 41 | 22 | 24277 | 240 6028 | 1 | 4 | 5 | 26 | 23 | 24189 | 240 6028 | 3 | 4 | 5 | 25 | 23 | 24376 | 240 6028 | 2 | 4 | 5 | 54 | 22 | 23936 | 240