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/). 

# SYS\$1LUDF\$1DETAIL
SYS\$1LUDF\$1DETAIL

SYS\$1LUDF\$1DETAIL records information and metrics for Lambda User Defined Functions (LUDFs) that were used in a particular query.

SYS\$1LUDF\$1DETAIL is visible only to superusers. For more information, see [Visibility of data in system tables and views](cm_chap_system-tables.md#c_visibility-of-data).

## Table columns
Table columns

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

## Sample queries
Sample queries

The following example uses a Lambda UDF in a query, and then shows how to query the SYS\$1LUDF\$1DETAIL view to see the function execution details.

```
SET SESSION AUTHORIZATION regular_user;

CREATE EXTERNAL FUNCTION exfunc_sum(INT,INT) RETURNS INT STABLE
LAMBDA 'lambda_sum'
IAM_ROLE 'arn:aws:iam::123456789012:role/Redshift-Exfunc-Test';

CREATE TABLE t_sum(c1 int, c2 int);
INSERT INTO t_sum VALUES (4,5), (6,7);
SELECT exfunc_sum(c1,c2) FROM t_sum;

-- Switch to super user in order to inspect records in the LUDF SYS view.
SET SESSION AUTHORIZATION super_user;
select * from sys_ludf_detail;
```

Sample output:

```
 user_id | transaction_id | query_id | function_oid | function_position | stream_id | segment_id | step_id | lambda_function_name |         start_time         |          end_time          | total_duration | invocations | total_rows | input_bytes | output_bytes
---------+----------------+----------+--------------+-------------------+-----------+------------+---------+----------------------+----------------------------+----------------------------+----------------+-------------+------------+-------------+--------------
     100 |           1463 |     1544 |       111055 |                 0 |         0 |          0 |       2 | lambda_sum           | 2026-01-06 17:23:25.165898 | 2026-01-06 17:23:25.165898 |            414 |           1 |          2 |         277 |           18
(1 row)
```