maji2014 created SPARK-4314: ------------------------------- Summary: Exception throws when finding new files like intermediate result(_COPYING_ file) through hdfs interface Key: SPARK-4314 URL: https://issues.apache.org/jira/browse/SPARK-4314 Project: Spark Issue Type: Bug Reporter: maji2014
[Reproduce] 1. Run HdfsWordCount interface, such as "ssc.textFileStream(args(0))" 2. Upload file to hdfs(reason as followings) 3. Exception as followings. [Exception stack] 14/11/10 01:21:19 DEBUG Client: IPC Client (842425021) connection to master/192.168.84.142:9000 from ocdc sending #13 14/11/10 01:21:19 ERROR JobScheduler: Error generating jobs for time 1415611274000 ms org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://master:9000/user/spark/200.COPYING at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:285) at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:340) at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:95) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202) at scala.Option.getOrElse(Option.scala:120) at org.apache.spark.rdd.RDD.partitions(RDD.scala:202) at org.apache.spark.streaming.dstream.FileInputDStream$$anonfun$org$apache$spark$streaming$dstream$FileInputDStream$$filesToRDD$1.apply(FileInputDStream.scala:125) at org.apache.spark.streaming.dstream.FileInputDStream$$anonfun$org$apache$spark$streaming$dstream$FileInputDStream$$filesToRDD$1.apply(FileInputDStream.scala:124) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.streaming.dstream.FileInputDStream.org$apache$spark$streaming$dstream$FileInputDStream$$filesToRDD(FileInputDStream.scala:124) at org.apache.spark.streaming.dstream.FileInputDStream.compute(FileInputDStream.scala:83) at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:291) at org.apache.spark.streaming.dstream.MappedDStream.compute(MappedDStream.scala:35) at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:291) at org.apache.spark.streaming.dstream.MappedDStream.compute(MappedDStream.scala:35) at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:291) at org.apache.spark.streaming.dstream.TransformedDStream$$anonfun$6.apply(TransformedDStream.scala:40) at org.apache.spark.streaming.dstream.TransformedDStream$$anonfun$6.apply(TransformedDStream.scala:40) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) at scala.collection.immutable.List.foreach(List.scala:318) at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) at scala.collection.AbstractTraversable.map(Traversable.scala:105) at org.apache.spark.streaming.dstream.TransformedDStream.compute(TransformedDStream.scala:40) at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:291) at org.apache.spark.streaming.dstream.ShuffledDStream.compute(ShuffledDStream.scala:41) at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:291) at org.apache.spark.streaming.dstream.MappedDStream.compute(MappedDStream.scala:35) at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:291) at org.apache.spark.streaming.dstream.MappedDStream.compute(MappedDStream.scala:35) at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:291) at org.apache.spark.streaming.dstream.ForEachDStream.generateJob(ForEachDStream.scala:38) at org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:115) at org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:115) at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251) at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251) at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105) at org.apache.spark.streaming.DStreamGraph.generateJobs(DStreamGraph.scala:115) at org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$2.apply(JobGenerator.scala:221) at org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$2.apply(JobGenerator.scala:221) at scala.util.Try$.apply(Try.scala:161) at org.apache.spark.streaming.scheduler.JobGenerator.generateJobs(JobGenerator.scala:221) at org.apache.spark.streaming.scheduler.JobGenerator.org$apache$spark$streaming$scheduler$JobGenerator$$processEvent(JobGenerator.scala:165) at org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$start$1$$anon$1$$anonfun$receive$1.applyOrElse(JobGenerator.scala:76) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) at akka.actor.ActorCell.invoke(ActorCell.scala:456) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) at akka.dispatch.Mailbox.run(Mailbox.scala:219) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386) at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) Exception in thread "main" 14/11/10 01:21:19 DEBUG Client: IPC Client (842425021) connection to master/192.168.84.142:9000 from ocdc got value #13 org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does not exist: hdfs://master:9000/user/spark/200.COPYING at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:285) at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:340) at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:95) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:202) at scala.Option.getOrElse(Option.scala:120) at org.apache.spark.rdd.RDD.partitions(RDD.scala:202) at org.apache.spark.streaming.dstream.FileInputDStream$$anonfun$org$apache$spark$streaming$dstream$FileInputDStream$$filesToRDD$1.apply(FileInputDStream.scala:125) at org.apache.spark.streaming.dstream.FileInputDStream$$anonfun$org$apache$spark$streaming$dstream$FileInputDStream$$filesToRDD$1.apply(FileInputDStream.scala:124) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.streaming.dstream.FileInputDStream.org$apache$spark$streaming$dstream$FileInputDStream$$filesToRDD(FileInputDStream.scala:124) at org.apache.spark.streaming.dstream.FileInputDStream.compute(FileInputDStream.scala:83) at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:291) at org.apache.spark.streaming.dstream.MappedDStream.compute(MappedDStream.scala:35) at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:291) at org.apache.spark.streaming.dstream.MappedDStream.compute(MappedDStream.scala:35) at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:291) at org.apache.spark.streaming.dstream.TransformedDStream$$anonfun$6.apply(TransformedDStream.scala:40) at org.apache.spark.streaming.dstream.TransformedDStream$$anonfun$6.apply(TransformedDStream.scala:40) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244) at scala.collection.immutable.List.foreach(List.scala:318) at scala.collection.TraversableLike$class.map(TraversableLike.scala:244) at scala.collection.AbstractTraversable.map(Traversable.scala:105) at org.apache.spark.streaming.dstream.TransformedDStream.compute(TransformedDStream.scala:40) at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:291) at org.apache.spark.streaming.dstream.ShuffledDStream.compute(ShuffledDStream.scala:41) at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:291) at org.apache.spark.streaming.dstream.MappedDStream.compute(MappedDStream.scala:35) at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:291) at org.apache.spark.streaming.dstream.MappedDStream.compute(MappedDStream.scala:35) at org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:291) at org.apache.spark.streaming.dstream.ForEachDStream.generateJob(ForEachDStream.scala:38) at org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:115) at org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:115) at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251) at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251) at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105) at org.apache.spark.streaming.DStreamGraph.generateJobs(DStreamGraph.scala:115) at org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$2.apply(JobGenerator.scala:221) at org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$2.apply(JobGenerator.scala:221) at scala.util.Try$.apply(Try.scala:161) at org.apache.spark.streaming.scheduler.JobGenerator.generateJobs(JobGenerator.scala:221) at org.apache.spark.streaming.scheduler.JobGenerator.org$apache$spark$streaming$scheduler$JobGenerator$$processEvent(JobGenerator.scala:165) at org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$start$1$$anon$1$$anonfun$receive$1.applyOrElse(JobGenerator.scala:76) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) at akka.actor.ActorCell.invoke(ActorCell.scala:456) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) at akka.dispatch.Mailbox.run(Mailbox.scala:219) at akka.dispatch.ForkJoinExecutorConfigurator$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) 14/11/10 01:21:19 DEBUG ProtobufRpcEngine: Call: getListing took 3ms [Reason] Upload intermediate file 200.COPYING is found by FileInputDStream interface, and exception throws when NewHadoopRDD ready to handle non-existent 200.COPYING file because file 200.COPYING is changed to file 200 when upload is finished -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org