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From "Marco Gaido (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-19268) File does not exist: /tmp/temporary-157b89c1-27bb-49f3-a70c-ca1b75022b4d/state/0/2/1.delta
Date Tue, 28 Nov 2017 11:32:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-19268?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16268602#comment-16268602
] 

Marco Gaido commented on SPARK-19268:
-------------------------------------

In my case, deleting `_spark_metadata` solved the issue. Thus likely this is caused by a bad
status of the `_spark_metadata` dir. [~zsxwing] Should we reopen this or create a new ticket?

> File does not exist: /tmp/temporary-157b89c1-27bb-49f3-a70c-ca1b75022b4d/state/0/2/1.delta
> ------------------------------------------------------------------------------------------
>
>                 Key: SPARK-19268
>                 URL: https://issues.apache.org/jira/browse/SPARK-19268
>             Project: Spark
>          Issue Type: Bug
>          Components: Structured Streaming
>    Affects Versions: 2.0.0, 2.0.1, 2.0.2, 2.1.0
>         Environment: - hadoop2.7
> - Java 7
>            Reporter: liyan
>            Assignee: Shixiong Zhu
>            Priority: Critical
>             Fix For: 2.1.1, 2.2.0
>
>
> bq. ./run-example sql.streaming.JavaStructuredKafkaWordCount 192.168.3.110:9092 subscribe
topic03
> when i run the spark example raises the following error:
> {quote}
> Exception in thread "main" 17/01/17 14:13:41 DEBUG ContextCleaner: Got cleaning task
CleanBroadcast(4)
> org.apache.spark.sql.streaming.StreamingQueryException: Job aborted due to stage failure:
Task 2 in stage 9.0 failed 1 times, most recent failure: Lost task 2.0 in stage 9.0 (TID 46,
localhost, executor driver): java.lang.IllegalStateException: Error reading delta file /tmp/temporary-157b89c1-27bb-49f3-a70c-ca1b75022b4d/state/0/2/1.delta
of HDFSStateStoreProvider[id = (op=0, part=2), dir = /tmp/temporary-157b89c1-27bb-49f3-a70c-ca1b75022b4d/state/0/2]:
/tmp/temporary-157b89c1-27bb-49f3-a70c-ca1b75022b4d/state/0/2/1.delta does not exist
> 	at org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$updateFromDeltaFile(HDFSBackedStateStoreProvider.scala:354)
> 	at org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1$$anonfun$6.apply(HDFSBackedStateStoreProvider.scala:306)
> 	at org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1$$anonfun$6.apply(HDFSBackedStateStoreProvider.scala:303)
> 	at scala.Option.getOrElse(Option.scala:121)
> 	at org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1.apply(HDFSBackedStateStoreProvider.scala:303)
> 	at org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1.apply(HDFSBackedStateStoreProvider.scala:302)
> 	at scala.Option.getOrElse(Option.scala:121)
> 	at org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap(HDFSBackedStateStoreProvider.scala:302)
> 	at org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.getStore(HDFSBackedStateStoreProvider.scala:220)
> 	at org.apache.spark.sql.execution.streaming.state.StateStore$.get(StateStore.scala:151)
> 	at org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:61)
> 	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
> 	at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
> 	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> 	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
> 	at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
> 	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> 	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
> 	at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
> 	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> 	at org.apache.spark.scheduler.Task.run(Task.scala:99)
> 	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> 	at java.lang.Thread.run(Thread.java:745)
> Caused by: java.io.FileNotFoundException: File does not exist: /tmp/temporary-157b89c1-27bb-49f3-a70c-ca1b75022b4d/state/0/2/1.delta
> 	at org.apache.hadoop.hdfs.server.namenode.INodeFile.valueOf(INodeFile.java:71)
> 	at org.apache.hadoop.hdfs.server.namenode.INodeFile.valueOf(INodeFile.java:61)
> 	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocationsInt(FSNamesystem.java:1828)
> 	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocations(FSNamesystem.java:1799)
> 	at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocations(FSNamesystem.java:1712)
> 	at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.getBlockLocations(NameNodeRpcServer.java:587)
> 	at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.getBlockLocations(ClientNamenodeProtocolServerSideTranslatorPB.java:365)
> 	at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
> 	at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:616)
> 	at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:969)
> 	at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2049)
> 	at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2045)
> 	at java.security.AccessController.doPrivileged(Native Method)
> 	at javax.security.auth.Subject.doAs(Subject.java:415)
> 	at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1657)
> 	at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2043)
> 	at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> 	at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
> 	at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> 	at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
> 	at org.apache.hadoop.ipc.RemoteException.instantiateException(RemoteException.java:106)
> 	at org.apache.hadoop.ipc.RemoteException.unwrapRemoteException(RemoteException.java:73)
> 	at org.apache.hadoop.hdfs.DFSClient.callGetBlockLocations(DFSClient.java:1228)
> 	at org.apache.hadoop.hdfs.DFSClient.getLocatedBlocks(DFSClient.java:1213)
> 	at org.apache.hadoop.hdfs.DFSClient.getLocatedBlocks(DFSClient.java:1201)
> 	at org.apache.hadoop.hdfs.DFSInputStream.fetchLocatedBlocksAndGetLastBlockLength(DFSInputStream.java:306)
> 	at org.apache.hadoop.hdfs.DFSInputStream.openInfo(DFSInputStream.java:272)
> 	at org.apache.hadoop.hdfs.DFSInputStream.<init>(DFSInputStream.java:264)
> 	at org.apache.hadoop.hdfs.DFSClient.open(DFSClient.java:1526)
> 	at org.apache.hadoop.hdfs.DistributedFileSystem$3.doCall(DistributedFileSystem.java:304)
> 	at org.apache.hadoop.hdfs.DistributedFileSystem$3.doCall(DistributedFileSystem.java:299)
> 	at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
> 	at org.apache.hadoop.hdfs.DistributedFileSystem.open(DistributedFileSystem.java:312)
> 	at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:769)
> 	at org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$updateFromDeltaFile(HDFSBackedStateStoreProvider.scala:351)
> 	... 24 more
> {quote}
> I checked my spark configuration file, found the value of {{spark.sql.adaptive.enabled}}
is {{true}}, to modify it into {{false}}, the example program can work.
> Is this a bug?
> thanks!



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