โ11-05-2023 04:43 AM
Hello,
We are using Databricks with Hive metastore and not Unity Catalog.
We would like to know if there is any End of Support on Table Access Control with Hive as this link it states that it is legacy.
I understand Databricks recommends Unity Catalog but we want to continue with Hive.
Kindly advice if Hive and Table Access control will be supported with Databricks in the upcoming runtime or we will expect some limitation or EOS.
โ11-22-2023 12:15 AM - edited โ11-22-2023 12:17 AM
Hi @hafeez, Hive metastore table access control is a legacy data governance model within Databricks.
While it is still available, Databricks strongly recommends using the Unity Catalog instead. The Unity Catalog offers a more straightforward and account-centered governance model.
However, if you choose to continue using the Hive metastore, here are some important points to consider:
Legacy Model:
Unity Catalog Transition:
End of Support (EOS):
Workspace Administrators:
In summary, while Hive metastore table access control remains functional, transitioning to the Unity Catalog is recommended for a more modern and efficient governance model.
Keep an eye on Databricks updates for any changes related to support or limitations. ๐
You can refer to the official documentation on this topic for more details.
โ11-27-2023 03:37 AM
Thanks Kaniz, that clears my concerns.
We will do some evaluation on Unity Catalog and follow the upgrade path for it.
โ11-22-2023 12:15 AM - edited โ11-22-2023 12:17 AM
Hi @hafeez, Hive metastore table access control is a legacy data governance model within Databricks.
While it is still available, Databricks strongly recommends using the Unity Catalog instead. The Unity Catalog offers a more straightforward and account-centered governance model.
However, if you choose to continue using the Hive metastore, here are some important points to consider:
Legacy Model:
Unity Catalog Transition:
End of Support (EOS):
Workspace Administrators:
In summary, while Hive metastore table access control remains functional, transitioning to the Unity Catalog is recommended for a more modern and efficient governance model.
Keep an eye on Databricks updates for any changes related to support or limitations. ๐
You can refer to the official documentation on this topic for more details.
โ11-27-2023 03:37 AM
Thanks Kaniz, that clears my concerns.
We will do some evaluation on Unity Catalog and follow the upgrade path for it.
Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you wonโt want to miss the chance to attend and share knowledge.
If there isnโt a group near you, start one and help create a community that brings people together.
Request a New Group