我想停止各种消息都是在火花壳。
我尝试编辑log4j。属性文件，以停止这些消息。
下面是log4j.properties的内容
# Define the root logger with appender file
log4j.rootCategory=WARN, 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.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
但是消息仍然显示在控制台上。
下面是一些示例消息
15/01/05 15:11:45 INFO SparkEnv: Registering BlockManagerMaster
15/01/05 15:11:45 INFO DiskBlockManager: Created local directory at /tmp/spark-local-20150105151145-b1ba
15/01/05 15:11:45 INFO MemoryStore: MemoryStore started with capacity 0.0 B.
15/01/05 15:11:45 INFO ConnectionManager: Bound socket to port 44728 with id = ConnectionManagerId(192.168.100.85,44728)
15/01/05 15:11:45 INFO BlockManagerMaster: Trying to register BlockManager
15/01/05 15:11:45 INFO BlockManagerMasterActor$BlockManagerInfo: Registering block manager 192.168.100.85:44728 with 0.0 B RAM
15/01/05 15:11:45 INFO BlockManagerMaster: Registered BlockManager
15/01/05 15:11:45 INFO HttpServer: Starting HTTP Server
15/01/05 15:11:45 INFO HttpBroadcast: Broadcast server star
我怎么阻止这些?
一个有趣的想法是使用此处建议的RollingAppender: http://shzhangji.com/blog/2015/05/31/spark-streaming-logging-configuration/
这样您就不会“污染”控制台空间，但仍然能够在$YOUR_LOG_PATH_HERE/${dm.logging.name}.log下看到结果。
log4j.rootLogger=INFO, rolling
log4j.appender.rolling=org.apache.log4j.RollingFileAppender
log4j.appender.rolling.layout=org.apache.log4j.PatternLayout
log4j.appender.rolling.layout.conversionPattern=[%d] %p %m (%c)%n
log4j.appender.rolling.maxFileSize=50MB
log4j.appender.rolling.maxBackupIndex=5
log4j.appender.rolling.file=$YOUR_LOG_PATH_HERE/${dm.logging.name}.log
log4j.appender.rolling.encoding=UTF-8
另一个解决原因的方法是观察你通常有什么样的日志记录(来自不同的模块和依赖)，并为每个日志设置粒度，同时将过于冗长的第三方日志“安静”:
例如,
# Silence akka remoting
log4j.logger.Remoting=ERROR
log4j.logger.akka.event.slf4j=ERROR
log4j.logger.org.spark-project.jetty.server=ERROR
log4j.logger.org.apache.spark=ERROR
log4j.logger.com.anjuke.dm=${dm.logging.level}
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
除了以上所有的帖子，下面是为我解决这个问题的方法。
Spark使用slf4j绑定到记录器。如果log4j不是找到的第一个绑定，则可以编辑log4j。所有你想要的属性文件，记录器甚至没有使用。例如，这可能是一个SLF4J输出:
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/C:/Users/~/.m2/repository/org/slf4j/slf4j-simple/1.6.6/slf4j-simple-1.6.6.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/C:/Users/~/.m2/repository/org/slf4j/slf4j-log4j12/1.7.19/slf4j-log4j12-1.7.19.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.SimpleLoggerFactory]
所以这里使用了SimpleLoggerFactory，它不关心log4j设置。
排除slf4j-simple包从我的项目通过
<dependency>
...
<exclusions>
...
<exclusion>
<artifactId>slf4j-simple</artifactId>
<groupId>org.slf4j</groupId>
</exclusion>
</exclusions>
</dependency>
解决了这个问题，因为现在使用log4j记录器绑定和log4j中的任何设置。属性。
F.Y.I.我的log4j属性文件包含(除了正常配置)
log4j.rootLogger=WARN, stdout
...
log4j.category.org.apache.spark = WARN
log4j.category.org.apache.parquet.hadoop.ParquetRecordReader = FATAL
log4j.additivity.org.apache.parquet.hadoop.ParquetRecordReader=false
log4j.logger.org.apache.parquet.hadoop.ParquetRecordReader=OFF
希望这能有所帮助!
