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From Antony Mayi <antonym...@yahoo.com.INVALID>
Subject pyspark executor PYTHONPATH
Date Fri, 02 Jan 2015 12:49:21 GMT
Hi,
I am running spark 1.1.0 on yarn. I have custom set of modules installed under same location
on each executor node and wondering how can I pass the executors the PYTHONPATH so that they
can use the modules.
I've tried this:
spark-env.sh:export PYTHONPATH=/tmp/test/

spark-defaults.conf:spark.executorEnv.PYTHONPATH=/tmp/test/


/tmp/test/pkg:__init__.pymod.py:  def test(x):
      return x
from the pyspark shell I can import the module pkg.mod without any issues:
$$$ import pkg.mod$$$ print pkg.mod.test(1)1
also the path is correctly set:
$$$ print os.environ['PYTHONPATH']/usr/lib/spark/python/lib/py4j-0.8.2.1-src.zip:/usr/lib/spark/python/:/tmp/test/
$$$ print sys.path['', '/usr/lib/spark/python/lib/py4j-0.8.2.1-src.zip', '/usr/lib/spark/python',
'/tmp/test/', ... ]

it even is seen by the executors:
$$$ sc.parallelize(range(4)).map(lambda x: os.environ['PYTHONPATH']).collect()['/u01/yarn/local/usercache/user/filecache/24/spark-assembly-1.1.0-cdh5.2.1-hadoop2.5.0-cdh5.2.1.jar:/tmp/test/:/tmp/test/', '/u01/yarn/local/usercache/user/filecache/24/spark-assembly-1.1.0-cdh5.2.1-hadoop2.5.0-cdh5.2.1.jar:/tmp/test/:/tmp/test/', '/u01/yarn/local/usercache/user/filecache/24/spark-assembly-1.1.0-cdh5.2.1-hadoop2.5.0-cdh5.2.1.jar:/tmp/test/:/tmp/test/', '/u02/yarn/local/usercache/user/filecache/24/spark-assembly-1.1.0-cdh5.2.1-hadoop2.5.0-cdh5.2.1.jar:/tmp/test/:/tmp/test/']
yet it fails when actually using the module on the executor:$$$ sc.parallelize(range(4)).map(pkg.mod.test).collect()...ImportError:
No module named mod...
any idea how to achieve this? don't want to use the sc.addPyFile as this is big packages and
they are installed everywhere anyway...
thank you,Antony.



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