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Fails to use unity catalog in All purpose cluster

GeoPer
New Contributor III

Hey there,

today we cannot load/read data from Unity Catalog with the same cluster as we did yesterday successfully (no changes in clsuter configuration).

The error, which persists, according to the cluster logs is:

com.databricks.common.client.DatabricksServiceHttpClientException: TEMPORARILY_UNAVAILABLE: The service at /api/2.1/cluster-unity-catalog/catalogs/<catalog_name> is temporarily unavailable. Please try again later.

If is there any problem in Unity service, why is not appearing in https://status.databricks.com/?

2 ACCEPTED SOLUTIONS

Accepted Solutions

GeoPer
New Contributor III

@Advika the issue is gone.

Now without any change all-purpose has access again to unity catalog.

Who knows what happened...

Thanks again for your interest

View solution in original post

Advika
Databricks Employee
Databricks Employee

It seems this was a known issue with dedicated clusters. Thank you for confirming that it is working now!

View solution in original post

5 REPLIES 5

GeoPer
New Contributor III

We are in the middle of migration from hive to unity....any news here?

The error still persists

Advika
Databricks Employee
Databricks Employee

Hello @GeoPer!

Could you please confirm which region your workspace is in? Also, is your cluster assigned to a specific group or access mode (shared or single user)?

GeoPer
New Contributor III

hey @Advika

thank you for the reply.

The workspace is in eu-central-1 and the access mode of all-purpose cluster is Dedicated (formerly: Single user) to a group.

Yesterday with the same cluster - same configurations, everything was working like a charm.
Today we can only work with serverless or job clusters.
The problem still persists in All-purpose cluster, whith the above configurations.

GeoPer
New Contributor III

@Advika the issue is gone.

Now without any change all-purpose has access again to unity catalog.

Who knows what happened...

Thanks again for your interest

Advika
Databricks Employee
Databricks Employee

It seems this was a known issue with dedicated clusters. Thank you for confirming that it is working now!

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