![]() The Python packaging for Spark is not intended to replace all of the other use cases. installed with pip or conda) does not contain the full Pyspark functionality it is only intended for use with a Spark installation in an already existing cluster. Step 1 is unnecessary: Pyspark from PyPi (i.e. So, step 2 should be enough (and even before that, PySpark should be available in your machine since you have been using Spark already). To start with, PySpark is not an add-on package, but an essential component of Spark itself in other words, when installing Spark you get also PySpark by default (you cannot avoid it, even if you would like to). ![]() databrickscfg file.There is a number of issues with your question: The following configuration profile snippet sets up OAuth integration via the Azure CLI, and See on how to set up and use configuration profiles. This can be configured via configuration profiles in the. The Databricks Connect module, via the Databricks SDK, supports OAuth authentication mechanism.
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