Github user sryza commented on the pull request:

    https://github.com/apache/spark/pull/148#issuecomment-37766301
  
    @pwendell Spark's build excluding log4j.properties is not enough to keep it 
off the executor classpath.  Executor classpaths include the Hadoop jars as 
installed locally on the cluster machines.  And those include a 
log4j.properties.
    
    @mridulm My bad, I hadn't noticed that there was a way to pass a 
log4j.properties.  In that case, I think the best thing would be to use 
container-log4j.properties by default, but, if the client gives one, to use 
that instead.  What do you think?


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