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Raymond Liu commented on SPARK-1097: ------------------------------------ Summit another PR to actually(hopes) fix this problem https://github.com/apache/spark/pull/1273 > ConcurrentModificationException > ------------------------------- > > Key: SPARK-1097 > URL: https://issues.apache.org/jira/browse/SPARK-1097 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 0.9.0 > Reporter: Fabrizio Milo > Assignee: Nishkam Ravi > Fix For: 1.0.1, 1.1.0 > > Attachments: nravi_Conf_Spark-1388.patch > > > {noformat} > 14/02/16 08:18:45 WARN TaskSetManager: Loss was due to > java.util.ConcurrentModificationException > java.util.ConcurrentModificationException > at java.util.HashMap$HashIterator.nextEntry(HashMap.java:926) > at java.util.HashMap$KeyIterator.next(HashMap.java:960) > at java.util.AbstractCollection.addAll(AbstractCollection.java:341) > at java.util.HashSet.<init>(HashSet.java:117) > at org.apache.hadoop.conf.Configuration.<init>(Configuration.java:554) > at org.apache.hadoop.mapred.JobConf.<init>(JobConf.java:439) > at org.apache.spark.rdd.HadoopRDD.getJobConf(HadoopRDD.scala:110) > at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:154) > at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:149) > at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:64) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:241) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:232) > at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:241) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:232) > at org.apache.spark.rdd.UnionPartition.iterator(UnionRDD.scala:32) > at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:72) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:241) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:232) > at org.apache.spark.rdd.FlatMappedRDD.compute(FlatMappedRDD.scala:33) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:241) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:232) > at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:241) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:232) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:161) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:102) > at org.apache.spark.scheduler.Task.run(Task.scala:53) > at > org.apache.spark.executor.Executor$TaskRunner$$anonfun$run$1.apply$mcV$sp(Executor.scala:213) > at > org.apache.spark.deploy.SparkHadoopUtil.runAsUser(SparkHadoopUtil.scala:49) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > at java.lang.Thread.run(Thread.java:744) > {noformat} -- This message was sent by Atlassian JIRA (v6.2#6252)