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 via the azure. I have been trying to use spark structured streaming api to connect to kafka cluster with sasl_ssl. I have passed the jaas.conf file to the executors.
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I am trying to run spark sample sparkpi docker image on eks.
My spark version is 3.0.
Once the spark application has finished so has the ui. When i submit the job, there is. Using a keytab by providing spark with a principal and keytab (e.g. Exception in thread main org.apache.hadoop.security.kerberosauthexception:
Then login again in spark ar studio, this will ask for verification. Please make sure the user must be a member of db_exporter role in the database/sql pool you want to transfer. 4 the web ui is only accessible while the spark application is running. It seems i couldn't set the values.
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.
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 required. I created spark serviceaccount and role binding.
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