[GitHub] spark pull request: Workaround in Spark for ConcurrentModification...

[colorant <gi...@git.apache.org>]

Github user colorant commented on the pull request:

    https://github.com/apache/spark/pull/1000#issuecomment-47622801
  
    It seems that this workaround not works for me on Hadoop 2.2.0, I still hit into this problem from within the synchronized block with the latest trunk code:
    
    java.util.ConcurrentModificationException (java.util.ConcurrentModificationException}
    java.util.HashMap$HashIterator.nextEntry(HashMap.java:793)
    java.util.HashMap$KeyIterator.next(HashMap.java:828)
    java.util.AbstractCollection.addAll(AbstractCollection.java:305)
    java.util.HashSet.<init>(HashSet.java:100)
    org.apache.hadoop.conf.Configuration.<init>(Configuration.java:554)
    org.apache.hadoop.mapred.JobConf.<init>(JobConf.java:439)
    org.apache.spark.rdd.HadoopRDD.getJobConf(HadoopRDD.scala:144)
    org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:189)
    org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:184)
    org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:93)
    org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:261)
    org.apache.spark.rdd.RDD.iterator(RDD.scala:228)
    org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
    org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:261)
    org.apache.spark.rdd.RDD.iterator(RDD.scala:228)
    org.apache.spark.rdd.FlatMappedRDD.compute(FlatMappedRDD.scala:33)
    org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:261)
    org.apache.spark.rdd.RDD.iterator(RDD.scala:228)
    org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
    org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:261)
    org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:59)
    org.apache.spark.rdd.RDD.iterator(RDD.scala:226)
    org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:112)
    org.apache.spark.scheduler.Task.run(Task.scala:51)
    org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
    java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886)
    java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908)
    java.lang.Thread.run(Thread.java:662)


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