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Configuring log4j on Databricks

Azmat Hasan shows us two approaches for customizing log4j properties on Databricks:

The goal of this blog is to define the processes to make the databricks log4j configuration file configurable for debugging purpose

Using the below approaches we can easily change the log level(ERROR, INFO or DEBUG) or change the appender.

Read on for those techniques.