Amazon Redshift will no longer support the creation of new Python UDFs starting Patch 198. Existing Python UDFs will continue to function until June 30, 2026. For more information, see the [ blog post ](https://aws.amazon.com/blogs/big-data/amazon-redshift-python-user-defined-functions-will-reach-end-of-support-after-june-30-2026/). 

# STL\$1UNLOAD\$1LOG
<a name="r_STL_UNLOAD_LOG"></a>

Records the details for an unload operation.

STL\$1UNLOAD\$1LOG records one row for each file created by an UNLOAD statement. For example, if an UNLOAD creates 12 files, STL\$1UNLOAD\$1LOG will contain 12 corresponding rows.

STL\$1UNLOAD\$1LOG 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](cm_chap_system-tables.md#c_visibility-of-data).

**Note**  
STL\$1UNLOAD\$1LOG 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\$1UNLOAD\$1HISTORY](SYS_UNLOAD_HISTORY.md) and [SYS\$1UNLOAD\$1DETAIL](SYS_UNLOAD_DETAIL.md) . The data in the SYS monitoring view is formatted to be easier to use and understand.

## Table columns
<a name="r_STL_UNLOAD_LOG-table-columns"></a>

[\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/redshift/latest/dg/r_STL_UNLOAD_LOG.html)

## Sample query
<a name="r_STL_UNLOAD_LOG-sample-query"></a>

To get a list of the files that were written to Amazon S3 by an UNLOAD command, you can call an Amazon S3 list operation after the UNLOAD completes. You can also query STL\$1UNLOAD\$1LOG.

The following query returns the pathname for files that were created by an UNLOAD for the last query completed:

```
select query, substring(path,0,40) as path
from stl_unload_log
where query = pg_last_query_id() 
order by path;
```

This command returns the following sample output: 

```
 
 query |             path
-------+--------------------------------------
  2320 | s3://amzn-s3-demo-bucket/venue0000_part_00
  2320 | s3://amzn-s3-demo-bucket/venue0001_part_00
  2320 | s3://amzn-s3-demo-bucket/venue0002_part_00
  2320 | s3://amzn-s3-demo-bucket/venue0003_part_00
(4 rows)
```