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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2014/06/13 19:55:03 UTC
[jira] [Resolved] (SPARK-1097) ConcurrentModificationException
[ https://issues.apache.org/jira/browse/SPARK-1097?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin resolved SPARK-1097.
--------------------------------
Resolution: Fixed
Fix Version/s: 1.1.0
1.0.1
Assignee: Nishkam Ravi
> 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}
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