> ## Documentation Index
> Fetch the complete documentation index at: https://docs.elementary-data.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Elementary 0.6.5

*January 10, 2023: [v0.6.5 Python](https://github.com/elementary-data/elementary/releases/tag/v0.6.5), [v0.6.10 dbt package](https://github.com/elementary-data/dbt-data-reliability/releases/tag/0.6.10)*

### 🔥 What's new?

* **Alerts suppression** 💤🔕
  * Don't want to get multiple alerts if the same test keeps failing?
  * You can now configure an alert\_suppression\_interval, this is a "snooze" period for alerts on the same issue.
  * [Docs here](/oss/guides/alerts/elementary-alerts#customize-alerts-owners-test-descriptions-tags-subscribers-layout-and-suppression)

* **Alerts filtering using selectors** 🔘

  * You can now configure edr to send only selected alerts, using tags, owners or models selectors.
  * This enables you to send only the alerts you actually care about.
  * [Docs here](/oss/guides/alerts/elementary-alerts#execute-the-cli)

* **Generate report for a single invocation** 1️⃣
  * Use selectors to generate a pre-filtered report with the results you want to see.
  * Try it: `edr monitor report --select last_invocation`
  * [Docs here]()

* **Granular time buckets in anomaly detection tests** ⏳
  * Now you can set time buckets that fit the updates cadence of your tables, to get better anomaly detection.
  * The new config enables to bucket by `hour | day | week` and set the interval size as well.
    * Example: 6 hours buckets for volume test
    ```yml properties.yml theme={null}
    tests:
      - elementary.volume_anomalies:
          timestamp_column: updated_at
          time_bucket:
            period: hour
            count: 6
    ```
  * This was a very popular request here on Slack, special thanks to [Rodrigo Loredo](https://github.com/rloredo) for your help with the implementation!

### 💫 More changes

* Following the breaking change we experienced in dbt 1.3.2, we added dbt release candidates versions to our CI. This will enable us to prevent such incidents in the future.
* We are evaluating a change in how we upload dbt artifacts to improve performance and unlock more use cases. For now you will see a warning message that will not impact your usage.