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Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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owen1
by • New Contributor
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workflow cluster was create error

I set the workflow to run at 12:00 every day in the workflow, but the workflow failed with the error message below, and I don't know why.Run result unavailable: run failed with error message Unexpected failure while waiting for the cluster (0506-0233...

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Murthy1
Contributor II
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Hello @Sangwoo Lee​ ,As mentioned by vignesh, it seems like an infra related issue. > Does the user (which executes the job) has access to start a cluster?> Incase if it is not an access issue and Incase if you are starting a lot of workflow jobs tog...

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Fred_F
by • New Contributor III
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JDBC connection timeout on workflow cluster

Hi there,​I've a batch process configured in a workflow which fails due to a jdbc timeout on a Postgres DB.​I checked the JDBC connection configuration and it seems to work when I query a table and doing a df.show() in the process and it displays th...

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RKNutalapati
Valued Contributor
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HI @Fred Foucart​ ,The above code looks good to me. Can you try with below code as well.spark.read\  .format("jdbc") \  .option("url", f"jdbc:postgresql://{host}/{database}") \  .option("driver", "org.postgresql.Driver") \  .option("user", username) ...

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mmlime
by • New Contributor III
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Resolved! Can I use VMs from Pool for my Workflow cluster?

Hi,there is no option to take VMs from a Pool for a new workflow (Azure Cloud)?default schema for a new cluster:{ "num_workers": 0, "spark_version": "10.4.x-scala2.12", "spark_conf": { "spark.master": "local[*, 4]", "spark...

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Vivian_Wilfred
Databricks Employee
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@Michal Mlaka​ I just checked on the UI and I could find the pools listing under worker type in a job cluster configuration. It should work.

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