[jira] [Created] (SPARK-22640) Can not switch python exec in executor side

["Kent Yao (JIRA)" <ji...@apache.org>]

Kent Yao created SPARK-22640:
--------------------------------

             Summary: Can not switch python exec in executor side
                 Key: SPARK-22640
                 URL: https://issues.apache.org/jira/browse/SPARK-22640
             Project: Spark
          Issue Type: Bug
          Components: PySpark
    Affects Versions: 2.2.0
            Reporter: Kent Yao



{code:java}
PYSPARK_PYTHON=~/anaconda3/envs/py3/bin/python \
bin/spark-submit --master yarn --deploy-mode client \ 
--archives ~/anaconda3/envs/py3.zip \
--conf spark.yarn.appMasterEnv.PYSPARK_PYTHON=py3.zip/py3/bin/python \
--conf spark.executorEnv.PYSPARK_PYTHON=py3.zip/py3/bin/python  \
/home/hadoop/data/apache-spark/spark-2.1.2-bin-hadoop2.7/examples/src/main/python/mllib/correlations_example.py
{code}

In the case above, I created a python environment, delivered it via `--arichives`, then visited it on Executor Node via `spark.executorEnv.PYSPARK_PYTHON`.

But Executor seemed to use `PYSPARK_PYTHON=~/anaconda3/envs/py3/bin/python` instead of `spark.executorEnv.PYSPARK_PYTHON=py3.zip/py3/bin/python`

{code:java}
java.io.IOException: Cannot run program "/home/hadoop/anaconda3/envs/py3/bin/python": error=2, No such file or directory
	at java.lang.ProcessBuilder.start(ProcessBuilder.java:1048)
	at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:163)
	at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:89)
	at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:65)
	at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:117)
	at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:128)
	at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
	at org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:89)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
	at org.apache.spark.scheduler.Task.run(Task.scala:108)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: error=2, No such file or directory
	at java.lang.UNIXProcess.forkAndExec(Native Method)
	at java.lang.UNIXProcess.<init>(UNIXProcess.java:248)
	at java.lang.ProcessImpl.start(ProcessImpl.java:134)
	at java.lang.ProcessBuilder.start(ProcessBuilder.java:1029)
	... 23 more
{code}




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