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From pwendell <>
Subject [GitHub] spark pull request: SPARK-1004. PySpark on YARN
Date Thu, 06 Mar 2014 23:58:44 GMT
Github user pwendell commented on the pull request:
    Hey @sryza I tested this using a local standalone cluster and it didn't seem to work.
The executors failed when they were asked to launch pyspark:
    14/03/06 15:50:56 INFO Executor: Running task ID 1
    14/03/06 15:50:56 INFO Executor: Running task ID 2
    /usr/bin/python: No module named pyspark
    14/03/06 15:50:57 ERROR Executor: Exception in task ID 3
            at org.apache.spark.api.python.PythonWorkerFactory.startDaemon(PythonWorkerFactory.scala:177)
            at org.apache.spark.api.python.PythonWorkerFactory.createThroughDaemon(PythonWorkerFactory.scala:55)
            at org.apache.spark.api.python.PythonWorkerFactory.create(PythonWorkerFactory.scala:42)
            at org.apache.spark.SparkEnv.createPythonWorker(SparkEnv.scala:88)
            at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:53)
            at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:239)
            at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
            at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
    Here is what I ran:
        ./bin/spark-class org.apache.spark.deploy.master.Master
        ./bin/spark-class org.apache.spark.deploy.worker.Worker <master url>
        MASTER=<master url> ./bin/pyspark
        >>> sc.parallelize(range(1000), 10).count

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