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To review the logs of already finished and currently running spark. Once the spark application has finished so has the ui.

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Logging.info(this is an informative message.) logging.debug(this is a debug message.) i want to use the same logger that spark is using so that the log messages come out in the same. Using a keytab by providing spark with a principal and keytab (e.g.

4 the web ui is only accessible while the spark application is running.

I am trying to figure out how to configure the abfs — azure data lake storage gen2 driver to authenticate with azure storage accounts as the user (regular user) logged in. Then login again in spark ar studio, this will. .config(spark.logconf, true) \ should cause the spark api to log its effective config to the log as info, but the default log level is set to warn, and as such i don't see any messages.

I installed spark using the aws ec2 guide and i can launch the program fine using the bin/pyspark script to get to the spark prompt and can also do the quick start quide. I'm trying to simplify notebook creation for developers/data scientists in my azure databricks workspace that connects to an azure data lake gen2 account.

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The solution is spottily described in both the azure and databricks documentation (as well as so), because both the pyspark jdbc driver and the ms connector libraries are.

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