hive-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Suhas Satish (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-7916) Snappy-java error when running hive query on spark [Spark Branch]
Date Fri, 17 Oct 2014 23:47:34 GMT

    [ https://issues.apache.org/jira/browse/HIVE-7916?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14175712#comment-14175712
] 

Suhas Satish commented on HIVE-7916:
------------------------------------

I also hit the following snappy lib exceptions - I am using snappy snappy-java-1.0.5.jar.
Let me try upgrading to snappy 1.1.1.3

2014-10-17 16:18:01,977 ERROR [Executor task launch worker-0]: executor.Executor (Logging.scala:logError(96))
- Exception in task 0.0 in stage 0.0 (TID 0)
org.xerial.snappy.SnappyError: [FAILED_TO_LOAD_NATIVE_LIBRARY] null
	at org.xerial.snappy.SnappyLoader.load(SnappyLoader.java:229)
	at org.xerial.snappy.Snappy.<clinit>(Snappy.java:44)
	at org.xerial.snappy.SnappyOutputStream.<init>(SnappyOutputStream.java:79)
	at org.apache.spark.io.SnappyCompressionCodec.compressedOutputStream(CompressionCodec.scala:125)
	at org.apache.spark.storage.BlockManager.wrapForCompression(BlockManager.scala:1083)
	at org.apache.spark.storage.BlockManager$$anonfun$7.apply(BlockManager.scala:579)
	at org.apache.spark.storage.BlockManager$$anonfun$7.apply(BlockManager.scala:579)
	at org.apache.spark.storage.DiskBlockObjectWriter.open(BlockObjectWriter.scala:126)
	at org.apache.spark.storage.DiskBlockObjectWriter.write(BlockObjectWriter.scala:192)
	at org.apache.spark.util.collection.ExternalSorter$$anonfun$writePartitionedFile$4$$anonfun$apply$2.apply(ExternalSorter.scala:732)
	at org.apache.spark.util.collection.ExternalSorter$$anonfun$writePartitionedFile$4$$anonfun$apply$2.apply(ExternalSorter.scala:731)
	at scala.collection.Iterator$class.foreach(Iterator.scala:727)
	at org.apache.spark.util.collection.ExternalSorter$IteratorForPartition.foreach(ExternalSorter.scala:789)
	at org.apache.spark.util.collection.ExternalSorter$$anonfun$writePartitionedFile$4.apply(ExternalSorter.scala:731)
	at org.apache.spark.util.collection.ExternalSorter$$anonfun$writePartitionedFile$4.apply(ExternalSorter.scala:727)
	at scala.collection.Iterator$class.foreach(Iterator.scala:727)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
	at org.apache.spark.util.collection.ExternalSorter.writePartitionedFile(ExternalSorter.scala:727)
	at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:70)
	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:56)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:181)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
	at java.lang.Thread.run(Thread.java:745)

----------
2014-10-17 16:18:02,021 INFO  [main]: scheduler.DAGScheduler (Logging.scala:logInfo(59)) -
Job 0 failed: foreach at SparkPlan.java:80, took 3.389683 s
2014-10-17 16:18:02,021 ERROR [main]: spark.SparkClient (SparkClient.java:execute(166)) -
Error executing Spark Plan
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed
1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): org.xerial.snappy.SnappyError:
[FAILED_TO_LOAD_NATIVE_LIBRARY] null
        org.xerial.snappy.SnappyLoader.load(SnappyLoader.java:229)
        org.xerial.snappy.Snappy.<clinit>(Snappy.java:44)
        org.xerial.snappy.SnappyOutputStream.<init>(SnappyOutputStream.java:79)
        org.apache.spark.io.SnappyCompressionCodec.compressedOutputStream(CompressionCodec.scala:125)
        org.apache.spark.storage.BlockManager.wrapForCompression(BlockManager.scala:1083)
        org.apache.spark.storage.BlockManager$$anonfun$7.apply(BlockManager.scala:579)
        org.apache.spark.storage.BlockManager$$anonfun$7.apply(BlockManager.scala:579)
        org.apache.spark.storage.DiskBlockObjectWriter.open(BlockObjectWriter.scala:126)
        org.apache.spark.storage.DiskBlockObjectWriter.write(BlockObjectWriter.scala:192)
        org.apache.spark.util.collection.ExternalSorter$$anonfun$writePartitionedFile$4$$anonfun$apply$2.apply(ExternalSorter.scala:732)
        org.apache.spark.util.collection.ExternalSorter$$anonfun$writePartitionedFile$4$$anonfun$apply$2.apply(ExternalSorter.scala:731)
        scala.collection.Iterator$class.foreach(Iterator.scala:727)
        org.apache.spark.util.collection.ExternalSorter$IteratorForPartition.foreach(ExternalSorter.scala:789)
        org.apache.spark.util.collection.ExternalSorter$$anonfun$writePartitionedFile$4.apply(ExternalSorter.scala:731)
        org.apache.spark.util.collection.ExternalSorter$$anonfun$writePartitionedFile$4.apply(ExternalSorter.scala:727)
        scala.collection.Iterator$class.foreach(Iterator.scala:727)
        scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
        org.apache.spark.util.collection.ExternalSorter.writePartitionedFile(ExternalSorter.scala:727)
        org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:70)
        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:56)
        org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:181)
        java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1191)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1180)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1179)
	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1179)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:694)
	at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:694)
	at scala.Option.foreach(Option.scala:236)
	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:694)
	at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1397)
	at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
	at akka.actor.ActorCell.invoke(ActorCell.scala:456)
	at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
	at akka.dispatch.Mailbox.run(Mailbox.scala:219)
	at akka.dispatch.ForkJoinExecutorConfigurator$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)



> Snappy-java error when running hive query on spark [Spark Branch]
> -----------------------------------------------------------------
>
>                 Key: HIVE-7916
>                 URL: https://issues.apache.org/jira/browse/HIVE-7916
>             Project: Hive
>          Issue Type: Bug
>          Components: Spark
>            Reporter: Xuefu Zhang
>              Labels: Spark-M1
>
> Recently spark branch upgraded its dependency on Spark to 1.1.0-SNAPSHOT. While the new
version addressed some lib conflicts (such as guava), I'm afraid that it also introduced new
problems. The following might be one, when I set the master URL to be a spark standalone cluster:
> {code}
> hive> set hive.execution.engine=spark;
> hive> set spark.serializer=org.apache.spark.serializer.KryoSerializer;
> hive> set spark.master=spark://xzdt:7077;
> hive> select name, avg(value) from dec group by name;
> 14/08/28 16:41:52 INFO storage.MemoryStore: Block broadcast_0 stored as values in memory
(estimated size 333.0 KB, free 128.0 MB)
> java.lang.reflect.InvocationTargetException
>     at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>     at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>     at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>     at java.lang.reflect.Method.invoke(Method.java:601)
>     at org.xerial.snappy.SnappyLoader.loadNativeLibrary(SnappyLoader.java:317)
>     at org.xerial.snappy.SnappyLoader.load(SnappyLoader.java:219)
>     at org.xerial.snappy.Snappy.<clinit>(Snappy.java:44)
>     at org.xerial.snappy.SnappyOutputStream.<init>(SnappyOutputStream.java:79)
>     at org.apache.spark.io.SnappyCompressionCodec.compressedOutputStream(CompressionCodec.scala:124)
>     at org.apache.spark.broadcast.TorrentBroadcast$.blockifyObject(TorrentBroadcast.scala:207)
>     at org.apache.spark.broadcast.TorrentBroadcast.writeBlocks(TorrentBroadcast.scala:83)
>     at org.apache.spark.broadcast.TorrentBroadcast.<init>(TorrentBroadcast.scala:68)
>     at org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:36)
>     at org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:29)
>     at org.apache.spark.broadcast.BroadcastManager.newBroadcast(BroadcastManager.scala:62)
>     at org.apache.spark.SparkContext.broadcast(SparkContext.scala:809)
>     at org.apache.spark.rdd.HadoopRDD.<init>(HadoopRDD.scala:116)
>     at org.apache.spark.SparkContext.hadoopRDD(SparkContext.scala:541)
>     at org.apache.spark.api.java.JavaSparkContext.hadoopRDD(JavaSparkContext.scala:318)
>     at org.apache.hadoop.hive.ql.exec.spark.SparkPlanGenerator.generateRDD(SparkPlanGenerator.java:160)
>     at org.apache.hadoop.hive.ql.exec.spark.SparkPlanGenerator.generate(SparkPlanGenerator.java:88)
>     at org.apache.hadoop.hive.ql.exec.spark.SparkClient.execute(SparkClient.java:156)
>     at org.apache.hadoop.hive.ql.exec.spark.session.SparkSessionImpl.submit(SparkSessionImpl.java:52)
>     at org.apache.hadoop.hive.ql.exec.spark.SparkTask.execute(SparkTask.java:77)
>     at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:161)
>     at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:85)
>     at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1537)
>     at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1304)
>     at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1116)
>     at org.apache.hadoop.hive.ql.Driver.run(Driver.java:940)
>     at org.apache.hadoop.hive.ql.Driver.run(Driver.java:930)
>     at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:246)
>     at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:198)
>     at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:408)
>     at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:781)
>     at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:675)
>     at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:614)
>     at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>     at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>     at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>     at java.lang.reflect.Method.invoke(Method.java:601)
>     at org.apache.hadoop.util.RunJar.main(RunJar.java:212)
> Caused by: java.lang.UnsatisfiedLinkError: no snappyjava in java.library.path
>     at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1860)
>     at java.lang.Runtime.loadLibrary0(Runtime.java:845)
>     at java.lang.System.loadLibrary(System.java:1084)
>     at org.xerial.snappy.SnappyNativeLoader.loadLibrary(SnappyNativeLoader.java:52)
>     ... 42 more
> org.xerial.snappy.SnappyError: [FAILED_TO_LOAD_NATIVE_LIBRARY] null
>     at org.xerial.snappy.SnappyLoader.load(SnappyLoader.java:229)
>     at org.xerial.snappy.Snappy.<clinit>(Snappy.java:44)
>     at org.xerial.snappy.SnappyOutputStream.<init>(SnappyOutputStream.java:79)
>     at org.apache.spark.io.SnappyCompressionCodec.compressedOutputStream(CompressionCodec.scala:124)
>     at org.apache.spark.broadcast.TorrentBroadcast$.blockifyObject(TorrentBroadcast.scala:207)
>     at org.apache.spark.broadcast.TorrentBroadcast.writeBlocks(TorrentBroadcast.scala:83)
>     at org.apache.spark.broadcast.TorrentBroadcast.<init>(TorrentBroadcast.scala:68)
>     at org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:36)
>     at org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:29)
>     at org.apache.spark.broadcast.BroadcastManager.newBroadcast(BroadcastManager.scala:62)
>     at org.apache.spark.SparkContext.broadcast(SparkContext.scala:809)
>     at org.apache.spark.rdd.HadoopRDD.<init>(HadoopRDD.scala:116)
>     at org.apache.spark.SparkContext.hadoopRDD(SparkContext.scala:541)
>     at org.apache.spark.api.java.JavaSparkContext.hadoopRDD(JavaSparkContext.scala:318)
>     at org.apache.hadoop.hive.ql.exec.spark.SparkPlanGenerator.generateRDD(SparkPlanGenerator.java:160)
>     at org.apache.hadoop.hive.ql.exec.spark.SparkPlanGenerator.generate(SparkPlanGenerator.java:88)
>     at org.apache.hadoop.hive.ql.exec.spark.SparkClient.execute(SparkClient.java:156)
>     at org.apache.hadoop.hive.ql.exec.spark.session.SparkSessionImpl.submit(SparkSessionImpl.java:52)
>     at org.apache.hadoop.hive.ql.exec.spark.SparkTask.execute(SparkTask.java:77)
>     at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:161)
>     at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:85)
>     at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1537)
>     at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1304)
>     at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1116)
>     at org.apache.hadoop.hive.ql.Driver.run(Driver.java:940)
>     at org.apache.hadoop.hive.ql.Driver.run(Driver.java:930)
>     at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:246)
>     at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:198)
>     at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:408)
>     at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:781)
>     at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:675)
>     at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:614)
>     at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>     at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
>     at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>     at java.lang.reflect.Method.invoke(Method.java:601)
>     at org.apache.hadoop.util.RunJar.main(RunJar.java:212)
> FAILED: Execution Error, return code -101 from org.apache.hadoop.hive.ql.exec.spark.SparkTask.
[FAILED_TO_LOAD_NATIVE_LIBRARY] null
> 14/08/28 16:41:52 ERROR ql.Driver: FAILED: Execution Error, return code -101 from org.apache.hadoop.hive.ql.exec.spark.SparkTask.
[FAILED_TO_LOAD_NATIVE_LIBRARY] null
> {code}
> It could be a setup issue. Nevertheless, we need to take a look to be sure.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Mime
View raw message