- 4723 Views
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Clusters are really slow
We have two environments for our Azure Databricks. Dev and Prod. We had clusters created and tested in Dev environment, then they were exported to the prod environment through APIs. The clusters in Dev are performing as expected. Whereas, the cluster...
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- 3 replies
- 1 kudos
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Hi @valjas, Workspace Creation and Cluster Performance: Actions taken during the creation of a workspace can indeed impact cluster performance. When setting up a workspace, consider the following factors: Configuration Settings: Ensure that the wor...
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- 3545 Views
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Resolved! Unable to use job cluster for task in workflows
Hi,I have a workflow setup in Databricks using 12.2 LTS ML.I am trying to use a job cluster for the task but i am getting the following error: Spark Conf: ‘spark.databricks.acl.enabled’ is not allowed when choosing an access modeAs a result I have to...
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Hi @NC , The error message you're encountering, "Spark Conf: ‘spark.databricks.acl.enabled’ is not allowed when choosing an access mode," is likely due to the job cluster's access mode not being set to "assigned" or "no isolation shared" as required...
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- 963 Views
- 2 replies
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Internal error: Attach your notebook to a different compute or restart the current compute.
I am currently using a personal computer cluster [13.3 LTS (includes Apache Spark 3.4.1, Scala 2.12)] on GCP attached to a notebook. After running a few command lines without an issue, I end up getting this errorInternal error. Attach your notebook t...
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- 2 replies
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Hi @aayusha3, Could you help us with the resource allocation for your cluster?
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