Spark的日誌配置

在測試spark計算時。將做業提交到yarn（模式–master yarn-cluster）上，想查看print到控制檯這是imposible的。因爲做業是提交到yarn的集羣上，so 去yarn集羣上看日誌是很是麻煩的，但有特別想看下print的信息，方便調試或者別的目的

在Spark的conf文件夾下，把log4j.properties.template改動爲log4j.properties。原來的內容例如如下：

#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就能夠抑制Spark把INFO級別的日誌打到控制檯上。

假設要顯示全面的信息。則把INFO改成DEBUG。

假設但願一方面把代碼中的println打印到控制檯，還有一方面又保留spark 自己輸出的日誌，可以將它輸出到日誌文件裏

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的日誌一方面打印到控制檯，一方面寫入到/home/hadoop/spark.log中了。這是日誌的繼承特性。後面再來改進。眼下把log4j.rootCategory=INFO, console。FILE改成log4j.rootCategory=INFO, FILE就能夠