[ 
https://issues.apache.org/jira/browse/SPARK-4993?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

pengyanhong updated SPARK-4993:
-------------------------------
    Summary: execute rdd.count failed when storage level is OFF_HEAP  (was: 
dd.count failed when storage level is OFF_HEAP)

> execute rdd.count failed when storage level is OFF_HEAP
> -------------------------------------------------------
>
>                 Key: SPARK-4993
>                 URL: https://issues.apache.org/jira/browse/SPARK-4993
>             Project: Spark
>          Issue Type: Bug
>          Components: Block Manager
>    Affects Versions: 1.2.0
>            Reporter: pengyanhong
>
> [ WARN] [2014-12-29 17:47:52 187] org.apache.spark.scheduler.TaskSetManager 
> [task-result-getter-1] (Logging.scala:71) Lost task 34.0 in stage 32.0 (TID 
> 1929, A01-R06-I147-69.jd.local): TaskKilled (killed intentionally)
> [ INFO] [2014-12-29 17:47:52 188] 
> org.apache.spark.scheduler.cluster.YarnClientClusterScheduler 
> [task-result-getter-1] (Logging.scala:59) Removed TaskSet 32.0, whose tasks 
> have all completed, from pool 
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 198 
> in stage 32.0 failed 10 times, most recent failure: Lost task 198.9 in stage 
> 32.0 (TID 1936, A01-R06-I147-61.jd.local): java.lang.RuntimeException: 
> java.io.IOException: BlockIndex 0 is out of the bound in file 
> ClientFileInfo(id:797, name:rdd_4184_198, 
> path:/persist/spark-e751e525-a79b-4d4c-853c-4575800d40c5/4/spark-tachyon-20141229173255-0074/09/rdd_4184_198,
>  ufsPath:, length:0, blockSizeByte:1073741824, creationTimeMs:1419846471676, 
> isComplete:true, isFolder:false, isPinned:false, isCache:true, blockIds:[], 
> dependencyId:-1, inMemoryPercentage:100)
>       at tachyon.client.TachyonFS.getClientBlockInfo(TachyonFS.java:785)
>       at tachyon.client.TachyonFile.getLocationHosts(TachyonFile.java:172)
>       at 
> org.apache.spark.storage.TachyonStore.getBytes(TachyonStore.scala:105)
>       at 
> org.apache.spark.storage.BlockManager.doGetLocal(BlockManager.scala:500)
>       at 
> org.apache.spark.storage.BlockManager.getBlockData(BlockManager.scala:307)
>       at 
> org.apache.spark.network.netty.NettyBlockRpcServer$$anonfun$2.apply(NettyBlockRpcServer.scala:57)
>       at 
> org.apache.spark.network.netty.NettyBlockRpcServer$$anonfun$2.apply(NettyBlockRpcServer.scala:57)
>       at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
>       at 
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
>       at 
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
>       at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
>       at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
>       at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
>       at 
> org.apache.spark.network.netty.NettyBlockRpcServer.receive(NettyBlockRpcServer.scala:57)
>       at 
> org.apache.spark.network.server.TransportRequestHandler.processRpcRequest(TransportRequestHandler.java:124)
>       at 
> org.apache.spark.network.server.TransportRequestHandler.handle(TransportRequestHandler.java:97)
>       at 
> org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:91)
>       at 
> org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:44)
>       at 
> io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105)
>       at 
> io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
>       at 
> io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
>       at 
> io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103)
>       at 
> io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
>       at 
> io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
>       at 
> io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:163)
>       at 
> io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
>       at 
> io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
>       at 
> io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:787)
>       at 
> io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:130)
>       at 
> io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511)
>       at 
> io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
>       at 
> io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
>       at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
>       at 
> io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:116)
>       at java.lang.Thread.run(Thread.java:662)
>       at 
> org.apache.spark.network.client.TransportResponseHandler.handle(TransportResponseHandler.java:156)
>       at 
> org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:93)
>       at 
> org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:44)
>       at 
> io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105)
>       at 
> io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
>       at 
> io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
>       at 
> io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103)
>       at 
> io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
>       at 
> io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
>       at 
> io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:163)
>       at 
> io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
>       at 
> io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
>       at 
> io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:787)
>       at 
> io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:130)
>       at 
> io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511)
>       at 
> io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
>       at 
> io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
>       at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
>       at 
> io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:116)
>       at java.lang.Thread.run(Thread.java:662)
> Driver stacktrace:
>       at 
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1214)
>       at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1203)
>       at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1202)
>       at 
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>       at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>       at 
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1202)
>       at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
>       at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
>       at scala.Option.foreach(Option.scala:236)
>       at 
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:696)
>       at 
> org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1420)
>       at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
>       at 
> org.apache.spark.scheduler.DAGSchedulerEventProcessActor.aroundReceive(DAGScheduler.scala:1375)
>       at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
>       at akka.actor.ActorCell.invoke(ActorCell.scala:487)
>       at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
>       at akka.dispatch.Mailbox.run(Mailbox.scala:220)
>       at 
> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
>       at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>       at 
> scala.concurrent.forkjoin.ForkJoinPool$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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