Amazon Redshift will no longer support the use of Python UDFs after June 30, 2026. We will start enforcing it in phases. For more information on the details of Python end of life and migration options, 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/) that was published on June 30, 2025. 

# Identifying tables with missing statistics
<a name="identify-tables-with-missing-statistics"></a>

The following query provides a count of the queries that you are running against tables that are missing statistics. If this query returns any rows, look at the `plannode` value to determine the affected table, and then run [ANALYZE](r_ANALYZE.md) on it.

```
select substring(trim(plannode),1,100) as plannode, count(*) 
from stl_explain 
where plannode like '%missing statistics%' 
group by plannode 
order by 2 desc;
```