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://amazonaws-china.com/blogs/big-data/amazon-redshift-python-user-defined-functions-will-reach-end-of-support-after-june-30-2026/). 

# SVCS\$1CONCURRENCY\$1SCALING\$1USAGE
<a name="r_SVCS_CONCURRENCY_SCALING_USAGE"></a>

Records the usage periods for concurrency scaling. Each usage period is a consecutive duration where an individual concurrency scaling cluster is actively processing queries.

SVCS\$1CONCURRENCY\$1SCALING\$1USAGE This table is visible to superusers. The database's superuser can choose to open it up to all users. 

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

[\[See the AWS documentation website for more details\]](http://docs.amazonaws.cn/en_us/redshift/latest/dg/r_SVCS_CONCURRENCY_SCALING_USAGE.html)

## Sample queries
<a name="r_SVCS_CONCURRENCY_SCALING_USAGE-sample-queries"></a>

To view the usage duration in seconds for a specific period, enter the following query: 

```
select * from svcs_concurrency_scaling_usage order by start_time;

start_time | end_time | queries | usage_in_seconds
----------------------------+----------------------------+---------+------------------
2019-02-14 18:43:53.01063 | 2019-02-14 19:16:49.781649 | 48 | 1977
```