001.Spark的日志配置

参考地址：Spark的日志配置

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在测试spark计算时，将做业提交到yarn（模式–master yarn-cluster）上，想查看print到控制台这是imposible的，由于做业是提交到yarn的集群上，so 去yarn集群上看日志是很麻烦的，但有特别想看下print的信息，方便调试或者别的目的

在Spark的conf目录下，把log4j.properties.template修改成log4j.properties，原来的内容以下：

#Set everything to be logged to the console
log4j.rootCategory=INFO, console
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n

#Settings to quiet third party logs that are too verbose
log4j.logger.org.spark-project.jetty=WARN
log4j.logger.org.spark-project.jetty.util.component.AbstractLifeCycle=ERROR
log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=INFO
log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=INFO

把log4j.rootCategory=INFO, console改成log4j.rootCategory=WARN, console便可抑制Spark把INFO级别的日志打到控制台上。若是要显示全面的信息，则把INFO改成DEBUG。

若是但愿一方面把代码中的println打印到控制台，另外一方面又保留spark 自己输出的日志，能够将它输出到日志文件中

log4j.rootCategory=INFO, console,FILE
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n

# Settings to quiet third party logs that are too verbose
log4j.logger.org.eclipse.jetty=WARN
log4j.logger.org.eclipse.jetty.util.component.AbstractLifeCycle=ERROR
log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=INFO
log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=INFO

log4j.appender.FILE=org.apache.log4j.DailyRollingFileAppender
log4j.appender.FILE.Threshold=DEBUG
log4j.appender.FILE.file=/home/hadoop/spark.log
log4j.appender.FILE.DatePattern='.'yyyy-MM-dd
log4j.appender.FILE.layout=org.apache.log4j.PatternLayout
log4j.appender.FILE.layout.ConversionPattern=[%-5p] [%d{yyyy-MM-dd HH:mm:ss}] [%C{1}:%M:%L] %m%n
# spark
log4j.logger.org.apache.spark=INFO

上面的操做，spark的日志一方面打印到控制台，一方面写入到/home/hadoop/spark.log中了，这是日志的继承特性，后面再来改进，目前把log4j.rootCategory=INFO, console，FILE改成log4j.rootCategory=INFO, FILE便可