Github user sryza commented on the pull request:
https://github.com/apache/spark/pull/148#issuecomment-38866826
I uploaded a patch with a new approach. In it, we use neither Hadoop's
log4j.properties nor Hadoop's container-log4j.properties. I added a
log4j-spark-container.properties file (with the same conf as
conf/log4j.properties.template) that gets included in the Spark yarn jar. This
is used by default, but if the user specifies a SPARK_LOG4J_CONF, that will get
used instead.
I think this should address the issues that y'all have pointed out with the
original approach, but let me know if I'm missing anything.
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