Github user lianhuiwang commented on the pull request:
https://github.com/apache/spark/pull/3976#issuecomment-70770431
yes, we just specify .py file or primaryResource file via spark-submit,
with this PR we can make pyspark run in yarn-cluster mode.
example:
spark-submit --master yarn-master --num-executors 1 --driver-memory 1g
--executor-memory 1g xx.py --primaryResource yy.conf
this config should not be changed and is same as pyspark on yarn-client
mode.
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