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  1. Spark
  2. SPARK-3633

Fetches failure observed after SPARK-2711

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    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Blocker
    • Resolution: Fixed
    • Affects Version/s: 1.1.0
    • Fix Version/s: 1.1.1, 1.2.0
    • Component/s: Block Manager, Spark Core
    • Labels:
      None
    • Target Version/s:

      Description

      Running a variant of PageRank on a 6-node cluster with a 30Gb input dataset. Recently upgraded to Spark 1.1. The workload fails with the following error message(s):

      14/09/19 12:10:38 WARN TaskSetManager: Lost task 51.0 in stage 2.1 (TID 552, c1705.halxg.cloudera.com): FetchFailed(BlockManagerId(1, c1706.halxg.cloudera.com, 49612, 0), shuffleId=3, mapId=75, reduceId=120)
      
      14/09/19 12:10:38 INFO DAGScheduler: Resubmitting failed stages
      

      In order to identify the problem, I carried out change set analysis. As I go back in time, the error message changes to:

      14/09/21 12:56:54 WARN TaskSetManager: Lost task 35.0 in stage 3.0 (TID 519, c1706.halxg.cloudera.com): java.io.FileNotFoundException: /var/lib/jenkins/workspace/tmp/spark-local-20140921123257-68ee/1c/temp_3a1ade13-b48a-437a-a466-673995304034 (Too many open files)
              java.io.FileOutputStream.open(Native Method)
              java.io.FileOutputStream.<init>(FileOutputStream.java:221)
              org.apache.spark.storage.DiskBlockObjectWriter.open(BlockObjectWriter.scala:117)
              org.apache.spark.storage.DiskBlockObjectWriter.write(BlockObjectWriter.scala:185)
              org.apache.spark.util.collection.ExternalAppendOnlyMap.spill(ExternalAppendOnlyMap.scala:197)
              org.apache.spark.util.collection.ExternalAppendOnlyMap.insertAll(ExternalAppendOnlyMap.scala:145)
              org.apache.spark.Aggregator.combineValuesByKey(Aggregator.scala:58)
              org.apache.spark.shuffle.hash.HashShuffleWriter.write(HashShuffleWriter.scala:51)
              org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
              org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
              org.apache.spark.scheduler.Task.run(Task.scala:54)
              org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:199)
              java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
              java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
              java.lang.Thread.run(Thread.java:745)
      

      All the way until Aug 4th. Turns out the problem changeset is 4fde28c.

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              • Assignee:
                Unassigned
                Reporter:
                nravi Nishkam Ravi
              • Votes:
                7 Vote for this issue
                Watchers:
                29 Start watching this issue

                Dates

                • Created:
                  Updated:
                  Resolved: