I hit this issue with spark 1.3.0 stateful application (with
updateStateByKey) function on mesos. It will
fail after running fine for about 24 hours.
The error stack trace as below, I checked ulimit -n and we have very large
numbers set on the machines.
What else can be wrong?
15/09/27 18:45:11 WARN scheduler.TaskSetManager: Lost task 2.0 in stage
113727.0 (TID 833758, ip-10-112-10-221.ec2.internal):
java.io.FileNotFoundException:
/media/ephemeral0/oncue/mesos-slave/slaves/20150512-215537-2165010442-5050-1730-S5/frameworks/20150825-175705-2165010442-5050-13705-0338/executors/0/runs/19342849-d076-483c-88da-747896e19b93/./spark-6efa2dcd-aea7-478e-9fa9-6e0973578eb4/blockmgr-33b1e093-6dd6-4462-938c-2597516272a9/27/shuffle_535_2_0.index
(Too many open files)
at java.io.FileOutputStream.open(Native Method)
at java.io.FileOutputStream.<init>(FileOutputStream.java:221)
at java.io.FileOutputStream.<init>(FileOutputStream.java:171)
at
org.apache.spark.shuffle.IndexShuffleBlockManager.writeIndexFile(IndexShuffleBlockManager.scala:85)
at
org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:69)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
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