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  1. Spark
  2. SPARK-13330

PYTHONHASHSEED is not propgated to python worker

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    • Bug
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • 1.6.0
    • 2.2.0
    • PySpark
    • None

    Description

      when using python 3.3 , PYTHONHASHSEED is only set in driver, but not propagated to executor, and cause the following error.

        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)
      

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              zjffdu Jeff Zhang
              zjffdu Jeff Zhang
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                Updated:
                Resolved: