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Administration & Architecture
Explore discussions on Databricks administration, deployment strategies, and architectural best practices. Connect with administrators and architects to optimize your Databricks environment for performance, scalability, and security.
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databricks on azure jdbc

New Contributor

Hello Databricks team

I have one question regarding data bricks on azure configuration using jdbc [Simba][SparkJDBCDriver](700100)

I am getting below error message :


java.sql.SQLException: [Simba][SparkJDBCDriver](700100) Connection timeout expired. Details: None.
	at com.simba.spark.jdbc.core.LoginTimeoutConnection.handleException(Unknown Source)
	at com.simba.spark.hivecommon.core.HiveJDBCCommonConnection.handleException(Unknown Source)
	at com.simba.spark.jdbc.core.LoginTimeoutConnection.connect(Unknown Source)
	at com.simba.spark.jdbc.common.BaseConnectionFactory.doConnect(Unknown Source)
	at com.simba.spark.jdbc.common.AbstractDriver.connect(Unknown Source)

The suggestion is to extend the timeout but looks like is related about ssl/tls certificates.

My question is if there is a documentation to check how to configure properly databricks on azure with an external cloud resources like aws ec2.

Thank you

Kind Regards



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