Weekly Release Notes Recap๏ฟฝ๏ฟฝ Hereโs a quick recap of the latest release notes updates from the past one week. Databricks platform release notes...
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โ12-05-2022 07:43 AM
Weekly Release Notes Recap๐
Hereโs a quick recap of the latest release notes updates from the past one week.
Databricks platform release notes
December 1-6, 2022
Partner Connect supports connecting to AtScale:
You can now easily create a connection between AtScale and your Databricks workspace using Partner Connect. For more information, see Connect to AtScale using Partner Connect.
Databricks runtime release notes
November 30, 2022
Databricks Light 2.4 Extended Support will be supported through April 30, 2023. It uses Ubuntu 18.04.5 LTS instead of the deprecated Ubuntu 16.04.6 LTS distribution used in the original Databricks Light 2.4. Ubuntu 16.04.6 LTS support ceased on April 1, 2021. Support for Databricks Light 2.4 ended on September 5, 2021, and Databricks recommends that you migrate your Light workloads to the extended support version as soon as you can.
November 28, 2022
Web application user interface updates:
The features listed in this section are independent of the SQL Warehouse compute versions described in the Channels section of the release notes.
Alerts:
- Chatworks, Mattermost, and Google Hangouts Chat are no longer alert destinations.
- Improvement:
- The y-axis now displays numbers as percentages when checking percent values.
Fixes:
- Fixed an issue in Databricks SQL alerts where comparing against null values evaluated incorrectly.
- Fixed an issue where scrollbars on pivot tables disappeared.
- Fixed an issue where the schema browser couldnโt resize with overflowed tabs.
We'd love to hear from you! Do let us know if this quick recap helped!
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โ12-05-2022 08:05 AM
Thank you for updates
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โ12-05-2022 10:13 AM
Thank You for the updates @Sujitha Ramamoorthyโ
Where do we raise a feature request/bug report for the current experimental features / existing features in databricks ?
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โ12-05-2022 10:37 AM
@Uma Maheswara Rao Desulaโ if i am not wrong, below ideas portal should help you Ideas Portal | Databricks on AWS