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/). 

# 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;
```