Hi guys,
I'm running Spark 1.0.0 with Tachyon 0.4.1, both in single node mode.
Tachyon's own tests (./bin/tachyon runTests) works good, and manual file
system operation like mkdir works well. But when I tried to run a very
simple Spark task with RDD persist as OFF_HEAP, I got the following
FileDoesNotExistException error.
My platform is Ubuntu12.04 x64.
More information:
The Spark task is simply in the interaction mode:
---------------------------------------------------------------------
import org.apache.spark.storage.StorageLevel
val tf = sc.textFile("README.md") // the file is there in the directory.
tf.persist(StorageLevel.OFF_HEAP)
tf.count()
----------------------------------------------------------------------
I tried other Storage levels like MEM_ONLY, MEM_AND_DISK, etc, and they all
worked fine.
The same error happened on both Tachyon 0.4.1 and Tachyon 0.4.1-thrifty, for
both binary versions or build-from-src versions.
Even more information:
I further track down the "Connecting local worker @" right before the
Exception, and find the problem might be in the tachyon.client.connect()
method.
Did any of you guys have this problem? If yes, how did you solve it?
Thanks!
-------------------------------------------------------------------------
Exception output:
-------------------------------------------------------------------------
....
14/07/07 14:03:47 INFO : Trying to connect master @
datanode6/10.10.10.46:19998
14/07/07 14:03:47 INFO : User registered at the master
datanode6/10.10.10.46:19998 got UserId 21
14/07/07 14:03:47 INFO : Trying to get local worker host : datanode6
14/07/07 14:03:47 INFO : Connecting local worker @
datanode6.ssi.samsung.com/10.10.10.46:29998
14/07/07 14:03:47 INFO :
FileDoesNotExistException(message://spark-704334db-270a-48c5-ac52-e646f1ea1aa0/<driver>/spark-tachyon-20140707140347-6c0a)//spark-704334db-270a-48c5-ac52-e646f1ea1aa0/<driver>/spark-tachyon-20140707140347-6c0a
14/07/07 14:03:47 INFO storage.TachyonBlockManager: Created tachyon
directory at null
14/07/07 14:03:47 WARN storage.BlockManager: Putting block rdd_1_0 failed
14/07/07 14:03:47 ERROR executor.Executor: Exception in task ID 0
java.lang.NullPointerException
at
org.apache.spark.util.Utils$.registerShutdownDeleteDir(Utils.scala:196)
at
org.apache.spark.storage.TachyonBlockManager$$anonfun$addShutdownHook$1.apply(TachyonBlockManager.scala:137)
at
org.apache.spark.storage.TachyonBlockManager$$anonfun$addShutdownHook$1.apply(TachyonBlockManager.scala:137)
at
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
at
org.apache.spark.storage.TachyonBlockManager.addShutdownHook(TachyonBlockManager.scala:137)
at
org.apache.spark.storage.TachyonBlockManager.<init>(TachyonBlockManager.scala:60)
at
org.apache.spark.storage.BlockManager.tachyonStore$lzycompute(BlockManager.scala:69)
at
org.apache.spark.storage.BlockManager.tachyonStore(BlockManager.scala:64)
at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:681)
at org.apache.spark.storage.BlockManager.put(BlockManager.scala:574)
at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:108)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:227)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
at org.apache.spark.scheduler.Task.run(Task.scala:51)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1146)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:701)
14/07/07 14:03:47 WARN scheduler.TaskSetManager: Lost TID 0 (task 0.0:0)
14/07/07 14:03:47 WARN scheduler.TaskSetManager: Loss was due to
java.lang.NullPointerException
java.lang.NullPointerException
at
org.apache.spark.util.Utils$.registerShutdownDeleteDir(Utils.scala:196)
at
org.apache.spark.storage.TachyonBlockManager$$anonfun$addShutdownHook$1.apply(TachyonBlockManager.scala:137)
at
org.apache.spark.storage.TachyonBlockManager$$anonfun$addShutdownHook$1.apply(TachyonBlockManager.scala:137)
at
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
at
org.apache.spark.storage.TachyonBlockManager.addShutdownHook(TachyonBlockManager.scala:137)
at
org.apache.spark.storage.TachyonBlockManager.<init>(TachyonBlockManager.scala:60)
at
org.apache.spark.storage.BlockManager.tachyonStore$lzycompute(BlockManager.scala:69)
at
org.apache.spark.storage.BlockManager.tachyonStore(BlockManager.scala:64)
at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:681)
at org.apache.spark.storage.BlockManager.put(BlockManager.scala:574)
at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:108)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:227)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
at org.apache.spark.scheduler.Task.run(Task.scala:51)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1146)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:701)
14/07/07 14:03:47 ERROR scheduler.TaskSetManager: Task 0.0:0 failed 1 times;
aborting job
14/07/07 14:03:47 INFO scheduler.TaskSchedulerImpl: Removed TaskSet 0.0,
whose tasks have all completed, from pool
14/07/07 14:03:47 INFO scheduler.DAGScheduler: Failed to run count at
<console>:16
14/07/07 14:03:47 INFO scheduler.TaskSchedulerImpl: Cancelling stage 0
org.apache.spark.SparkException: Job aborted due to stage failure: Task
0.0:0 failed 1 times, most recent failure: Exception failure in TID 0 on
host localhost: java.lang.NullPointerException
org.apache.spark.util.Utils$.registerShutdownDeleteDir(Utils.scala:196)
org.apache.spark.storage.TachyonBlockManager$$anonfun$addShutdownHook$1.apply(TachyonBlockManager.scala:137)
org.apache.spark.storage.TachyonBlockManager$$anonfun$addShutdownHook$1.apply(TachyonBlockManager.scala:137)
scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
org.apache.spark.storage.TachyonBlockManager.addShutdownHook(TachyonBlockManager.scala:137)
org.apache.spark.storage.TachyonBlockManager.<init>(TachyonBlockManager.scala:60)
org.apache.spark.storage.BlockManager.tachyonStore$lzycompute(BlockManager.scala:69)
org.apache.spark.storage.BlockManager.tachyonStore(BlockManager.scala:64)
org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:681)
org.apache.spark.storage.BlockManager.put(BlockManager.scala:574)
org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:108)
org.apache.spark.rdd.RDD.iterator(RDD.scala:227)
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
org.apache.spark.scheduler.Task.run(Task.scala:51)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1146)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:701)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1033)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1017)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1015)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1015)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:633)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:633)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1207)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
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