如何停止的消息显示火花控制台上？ [英] How to stop messages displaying on spark console?

问题描述

我使用spark0.9和Scala 2.10。

I am using spark0.9 and scala 2.10.

一切工作正常。我只是想停止正在对火星外壳到来的各种消息。

Everything is working fine. I just want to stop various messages that are coming on spark shell.

我试图用log4j.properties文件，以阻止这些消息。

I tried to use log4j.properties file in order to stop these message.

下面是文件的内容 -

Here are contents of file -

# 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

但还是消息被越来越控制台上显示出来。

But still messages are getting displayed on console.

下面是一些随机的消息 -

Here are some random messages -

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

如何阻止这样的消息？

How do I stop such messages???

推荐答案

感谢@AkhlD和@Sachin贾纳尼的建议在 .conf文件文件更改。

Thanks @AkhlD and @Sachin Janani for suggesting changes in .conf file.

继code解决了我的问题：

Following code solved my issue:

1）新增进口org.apache.log4j {级别，记录器} 进口栏目

2）增加以下后 VAL SC =新SparkContext（CONF创作火花上下文对象，即后线）：

val rootLogger = Logger.getRootLogger()
rootLogger.setLevel(Level.ERROR)

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