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\$1SCHEMA\$1QUOTA\$1VIOLATIONS
SYS\$1SCHEMA\$1QUOTA\$1VIOLATIONS

Records the occurrence, transaction ID, and other useful information when a schema quota is exceeded. This system table is a translation of [STL\$1SCHEMA\$1QUOTA\$1VIOLATIONS](r_STL_SCHEMA_QUOTA_VIOLATIONS.md).

r\$1SYS\$1SCHEMA\$1QUOTA\$1VIOLATIONS 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).

## Table columns
Table columns

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

## Sample queries
Sample queries

The following query shows the result of a quota violation:

```
SELECT user_id, TRIM(schema_name) "schema_name", quota, disk_usage, record_time FROM
sys_schema_quota_violations WHERE SCHEMA_NAME = 'sales_schema' ORDER BY timestamp DESC;
```

This query returns the following sample output for the specified schema:

```
user_id| schema_name  | quota | disk_usage | record_time
-------+--------------+-------+------------+----------------------------
104    | sales_schema | 2048  | 2798       | 2020-04-20 20:09:25.494723
(1 row)
```