Log level with log4j and Spark

最新推荐文章于 2020-04-21 20:20:15 发布

转载最新推荐文章于 2020-04-21 20:20:15 发布 · 63 阅读

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原文链接：http://www.cnblogs.com/niaomingjian/p/8274188.html

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本文详细介绍了不同日志级别的含义及用途，从最具体的OFF到包含所有数据的ALL，包括FATAL、ERROR、WARN、INFO、DEBUG及TRACE等，并解释了它们在Spark作业中的应用场景。

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Log Level	Usages
OFF	This is the most specific, which allows no logging at all
FATAL	This is the most specific one that shows fatal errors with little data
ERROR	This shows only the general errors
WARN	This shows warnings that are recommended to be fixed but not mandatory
INFO	This shows information required for your Spark job
DEBUG	While debugging, those logs will be printed
TRACE	This provides the least specific error trace with a lot of data
ALL	Least specific message with all data