On Tue, Sep 30, 2014 at 10:14 PM, Rick Richardson
<rick.richard...@gmail.com> wrote:
> I am experiencing significant logging spam when running PySpark in IPython
> Notebok
>
> Exhibit A:  http://i.imgur.com/BDP0R2U.png
>
> I have taken into consideration advice from:
> http://apache-spark-user-list.1001560.n3.nabble.com/Disable-all-spark-logging-td1960.html
>
> also
>
> http://stackoverflow.com/questions/25193488/how-to-turn-off-info-logging-in-pyspark
>
> I have only one log4j.properties it is in /opt/spark-1.1.0/conf
>
> Just before I launch IPython Notebook with a pyspark profile, I add the dir
> and the properties file directly to CLASSPATH and SPARK_CLASSPATH env vars
> (as you can also see from the png)
>
> I still haven't been able to make any change which disables this infernal
> debug output.
>
> Any ideas (WAGs, Solutions, commiserating)  would be greatly appreciated.
>
> ---
>
> My log4j.properties:
>
> log4j.rootCategory=INFO, console
> log4j.appender.console=org.apache.log4j.ConsoleAppender
> 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

You should change log4j.rootCategory to WARN, console

> # Change this to set Spark log level
> log4j.logger.org.apache.spark=INFO
>
> # Silence akka remoting
> log4j.logger.Remoting=WARN
>
> # Ignore messages below warning level from Jetty, because it's a bit verbose
> log4j.logger.org.eclipse.jetty=WARN
>
>

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