- 6415 Views
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Resolved! Running local python code with arguments in Databricks via dbx utility.
I am trying to execute a local PySpark script on a Databricks cluster via dbx utility to test how passing arguments to python works in Databricks when developing locally. However, the test arguments I am passing are not being read for some reason. Co...
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- 2 replies
- 3 kudos
- 3 kudos
You can pass parameters using dbx launch --parametersIf you want to define it in the deployment template please try to follow exactly databricks API 2.1 schema https://docs.databricks.com/dev-tools/api/latest/jobs.html#operation/JobsCreate (for examp...
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- 33350 Views
- 6 replies
- 10 kudos
How do I prevent _success and _committed files in my write output?
Is there a way to prevent the _success and _committed files in my output. It's a tedious task to navigate to all the partitions and delete the files. Note : Final output is stored in Azure ADLS
- 33350 Views
- 6 replies
- 10 kudos
- 10 kudos
Please find the below steps to remove _SUCCESS, _committed and _started files.spark.conf.set("spark.databricks.io.directoryCommit.createSuccessFile","false") to remove success file.run vacuum command multiple times until _committed and _started files...
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- 580 Views
- 0 replies
- 0 kudos
Code to automate provisioning of databricks in Azure
Hi, I would like to provision a Databricks environment in Azure and looking at options to create a workspace, cluster, notebook using code. Could you please point me to the documentation around this. Thank you.
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