zoukankan      html  css  js  c++  java
  • Spark的日志配置

    在測试spark计算时。将作业提交到yarn(模式–master yarn-cluster)上,想查看print到控制台这是imposible的。由于作业是提交到yarn的集群上,so 去yarn集群上看日志是非常麻烦的,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文件夹下,把log4j.properties.template改动为log4j.properties。原来的内容例如以下:

    #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改为log4j.rootCategory=WARN, console就可以抑制Spark把INFO级别的日志打到控制台上。

    假设要显示全面的信息。则把INFO改为DEBUG。

    假设希望一方面把代码中的println打印到控制台,还有一方面又保留spark 本身输出的日志,能够将它输出到日志文件里

    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

    上面的操作,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。眼下把log4j.rootCategory=INFO, console。FILE改为log4j.rootCategory=INFO, FILE就可以

  • 相关阅读:
    17种高效选聘方法
    三招让你从求职者中脱颖而出(转)
    仓山有感
    同事就是同事,职场没有兄弟姐妹
    enable worker process
    央企
    关于IIS
    td
    About Application Pool
    iis 7 application pool
  • 原文地址:https://www.cnblogs.com/zfyouxi/p/5261305.html
Copyright © 2011-2022 走看看