To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).

Thank you for the information. This command is used to set the logging level for Spark applications in Scala, Java, and Python. The logging level determines the amount of information that is written to the log files during the Spark application's execution.

The available logging levels are (in ascending order of verbosity): ALL, DEBUG, ERROR, FATAL, INFO, OFF, TRACE, and WARN.

To set the logging level to a specific value, you can use the sc.setLogLevel() method in Scala or Java, or the setLogLevel() function in SparkR. For example, to set the logging level to WARN, you would use:

sc.setLogLevel("WARN")

This will ensure that only warning messages and above are written to the log files during the Spark application's execution.