Apache Log4j 2 is an upgrade to Log4j that provides significant improvements over its predecessor, Log4j 1.x, and provides many of the improvements available in Logback while fixing some inherent problems in Logback architecture.
Spark jobs are very expensive and hefty parallelism sometimes make it difficult for the logging framework to cope up. What is the best strategy to improve without impacting application performance and with help of less resource consumption.
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