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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