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https://issues.apache.org/jira/browse/SPARK-13330?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15148014#comment-15148014
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Apache Spark commented on SPARK-13330:
--------------------------------------

User 'zjffdu' has created a pull request for this issue:
https://github.com/apache/spark/pull/11211

> PYTHONHASHSEED is not propgated to executor
> -------------------------------------------
>
>                 Key: SPARK-13330
>                 URL: https://issues.apache.org/jira/browse/SPARK-13330
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 1.6.0
>            Reporter: Jeff Zhang
>
> when using python 3.3 , PYTHONHASHSEED is only set in driver, but not 
> propagated to executor, and cause the following error.
> {noformat}
>   File "/Users/jzhang/github/spark/python/pyspark/rdd.py", line 74, in 
> portable_hash
>     raise Exception("Randomness of hash of string should be disabled via 
> PYTHONHASHSEED")
> Exception: Randomness of hash of string should be disabled via PYTHONHASHSEED
>       at 
> org.apache.spark.api.python.PythonRunner$$anon$1.read(PythonRDD.scala:166)
>       at 
> org.apache.spark.api.python.PythonRunner$$anon$1.<init>(PythonRDD.scala:207)
>       at org.apache.spark.api.python.PythonRunner.compute(PythonRDD.scala:125)
>       at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:70)
>       at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
>       at org.apache.spark.rdd.RDD.iterator(RDD.scala:277)
>       at org.apache.spark.api.python.PairwiseRDD.compute(PythonRDD.scala:342)
>       at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
>       at org.apache.spark.rdd.RDD.iterator(RDD.scala:277)
>       at 
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:77)
>       at 
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:45)
>       at org.apache.spark.scheduler.Task.run(Task.scala:81)
>       at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
>       at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> {noformat}



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