Executing this bin/hadoop fs -ls /usr/local/hadoop/checkpoint says
ls: `/usr/local/hadoop/checkpoint': No such file or directory
This is what I expected as well since I don't see any checkpoint directory
under /usr/local/hadoop. Am I missing any configuration variable like
HADOOP_CONF_DIR ? I am currently not setting that in conf/spark-env.sh and
thats the only hadoop related environment variable I see. please let me know
thanks!
On Thu, May 25, 2017 at 1:19 AM, kant kodali <kanth...@gmail.com> wrote:
> Hi Ryan,
>
> I did add that print statement and here is what I got.
>
> class org.apache.hadoop.hdfs.DistributedFileSystem
>
> Thanks!
>
> On Wed, May 24, 2017 at 11:39 PM, Shixiong(Ryan) Zhu <
> shixi...@databricks.com> wrote:
>
>> I meant using HDFS command to check the directory. Such as "bin/hadoop fs
>> -ls /usr/local/hadoop/checkpoint". My hunch is the default file system in
>> driver probably is the local file system. Could you add the following line
>> into your code to print the default file system?
>>
>> println(org.apache.hadoop.fs.FileSystem.get(sc.hadoopConfigu
>> ration).getClass)
>>
>> On Wed, May 24, 2017 at 5:59 PM, kant kodali <kanth...@gmail.com> wrote:
>>
>>> Hi All,
>>>
>>> I specified hdfsCheckPointDir = /usr/local/hadoop/checkpoint as you can
>>> see below however I dont see checkpoint directory under my hadoop_home=
>>> /usr/local/hadoop in either datanodes or namenodes however in datanode
>>> machine there seems to be some data under
>>>
>>> /usr/local/hadoop/hdfs/namenode/current/BP-1469808024-X.X.X.
>>> X-1495672725898/current/finalized/subdir0/subdir0
>>>
>>> I thought the checkpoint directory will be created by spark once I
>>> specify the path but do I manually need to create checkpoint dir using
>>> mkdir in all spark worker machines? I am new to HDFS as well so please let
>>> me know. I can try sending df.explain("true") but I have 100 fields in my
>>> schema so Project looks really big and if this is not a problem for you
>>> guys I can send that as well.
>>>
>>>
>>> +- StreamingRelation
>>> DataSource(org.apache.spark.sql.SparkSession@21002393,kafka,List(),None,List(),None,Map(subscribe
>>> -> analytics2, failOnDataLoss -> false, kafka.bootstrap.servers ->
>>> X.X.X.X:9092 <http://172.31.41.30:9092>, checkpointLocation ->
>>> /usr/local/hadoop/checkpoint, startingOffsets -> earliest),None), kafka,
>>> [key#0, value#1, topic#2, partition#3, offset#4L, timestamp#5,
>>> timestampType#6]
>>>
>>> *Here is the stack trace*
>>>
>>> StructField(OptionalContext4,StringType,true),
>>> StructField(OptionalContext5,StringType,true)),true), cast(value#1 as
>>> string)) AS payload#15]
>>> +- StreamingExecutionRelation
>>> KafkaSource[Subscribe[analytics2]], [key#0, value#1, topic#2, partition#3,
>>> offset#4L, timestamp#5, timestampType#6]
>>>
>>> at
>>> org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches(StreamExecution.scala:305)
>>> at
>>> org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:191)
>>> Caused by: org.apache.spark.SparkException: Job aborted due to stage
>>> failure: Task 2 in stage 3.0 failed 4 times, most recent failure: Lost task
>>> 2.3 in stage 3.0 (TID 222, 172.31.25.189, executor 0):
>>> java.lang.IllegalStateException: Error reading delta file
>>> /tmp/temporary-b1516035-a0e6-4a37-9a47-19d55cb5d787/state/0/2/1.delta of
>>> HDFSStateStoreProvider[id = (op=0, part=2), dir =
>>> /tmp/temporary-b1516035-a0e6-4a37-9a47-19d55cb5d787/state/0/2]:
>>> /tmp/temporary-b1516035-a0e6-4a37-9a47-19d55cb5d787/state/0/2/1.delta does
>>> not exist
>>> at
>>> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$updateFromDeltaFile(HDFSBackedStateStoreProvider.scala:365)
>>> at
>>> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1$$anonfun$6.apply(HDFSBackedStateStoreProvider.scala:317)
>>> at
>>> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1$$anonfun$6.apply(HDFSBackedStateStoreProvider.scala:314)
>>> at scala.Option.getOrElse(Option.scala:121)
>>> at
>>> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1.apply(HDFSBackedStateStoreProvider.scala:314)
>>> at
>>> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1.apply(HDFSBackedStateStoreProvider.scala:313)
>>> at scala.Option.getOrElse(Option.scala:121)
>>> at
>>> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap(HDFSBackedStateStoreProvider.scala:313)
>>> at
>>> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.getStore(HDFSBackedStateStoreProvider.scala:220)
>>> at
>>> org.apache.spark.sql.execution.streaming.state.StateStore$.get(StateStore.scala:186)
>>> at
>>> org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:61)
>>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
>>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
>>> at
>>> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
>>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
>>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
>>> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
>>> at org.apache.spark.scheduler.Task.run(Task.scala:99)
>>> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322)
>>> at
>>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>>> at
>>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
>>> at java.lang.Thread.run(Thread.java:745)
>>> Caused by: java.io.FileNotFoundException: File does not exist:
>>> /tmp/temporary-b1516035-a0e6-4a37-9a47-19d55cb5d787/state/0/2/1.delta
>>> at
>>> org.apache.hadoop.hdfs.server.namenode.INodeFile.valueOf(INodeFile.java:71)
>>> at
>>> org.apache.hadoop.hdfs.server.namenode.INodeFile.valueOf(INodeFile.java:61)
>>> at
>>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocationsInt(FSNamesystem.java:1828)
>>> at
>>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocations(FSNamesystem.java:1799)
>>> at
>>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocations(FSNamesystem.java:1712)
>>> at
>>> org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.getBlockLocations(NameNodeRpcServer.java:588)
>>> at
>>> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.getBlockLocations(ClientNamenodeProtocolServerSideTranslatorPB.java:365)
>>> at
>>> org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$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:982)
>>> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2049)
>>> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2045)
>>> at java.security.AccessController.doPrivileged(Native Method)
>>> at javax.security.auth.Subject.doAs(Subject.java:422)
>>> at
>>> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
>>> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2043)
>>>
>>> at sun.reflect.GeneratedConstructorAccessor13.newInstance(Unknown
>>> Source)
>>> at
>>> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
>>> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
>>> 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:362)
>>> ... 21 more
>>> Caused by:
>>> org.apache.hadoop.ipc.RemoteException(java.io.FileNotFoundException): File
>>> does not exist:
>>> /tmp/temporary-b1516035-a0e6-4a37-9a47-19d55cb5d787/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:588)
>>> 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:982)
>>> 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:422)
>>> at
>>> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
>>> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2043)
>>>
>>> at org.apache.hadoop.ipc.Client.call(Client.java:1475)
>>> at org.apache.hadoop.ipc.Client.call(Client.java:1412)
>>> at
>>> org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:229)
>>> at com.sun.proxy.$Proxy15.getBlockLocations(Unknown Source)
>>> at
>>> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getBlockLocations(ClientNamenodeProtocolTranslatorPB.java:255)
>>> at sun.reflect.GeneratedMethodAccessor38.invoke(Unknown Source)
>>> at
>>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>>> at java.lang.reflect.Method.invoke(Method.java:498)
>>> at
>>> org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191)
>>> at
>>> org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
>>> at com.sun.proxy.$Proxy16.getBlockLocations(Unknown Source)
>>> at
>>> org.apache.hadoop.hdfs.DFSClient.callGetBlockLocations(DFSClient.java:1226)
>>> ... 33 more
>>>
>>> Driver stacktrace:
>>> at
>>> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
>>> at
>>> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
>>> at
>>> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
>>> at
>>> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>>> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
>>> at
>>> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
>>> at
>>> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
>>> at
>>> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
>>> at scala.Option.foreach(Option.scala:257)
>>> at
>>> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
>>> at
>>> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
>>> at
>>> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
>>> at
>>> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
>>> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
>>> at
>>> org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
>>> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1925)
>>> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1938)
>>> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1951)
>>> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1965)
>>> at
>>> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1.apply(RDD.scala:926)
>>> at
>>> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1.apply(RDD.scala:924)
>>> at
>>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>>> at
>>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
>>> at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
>>> at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:924)
>>> at
>>> org.apache.spark.sql.execution.streaming.ForeachSink.addBatch(ForeachSink.scala:49)
>>> at
>>> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatch$1.apply$mcV$sp(StreamExecution.scala:554)
>>> at
>>> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatch$1.apply(StreamExecution.scala:554)
>>> at
>>> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatch$1.apply(StreamExecution.scala:554)
>>> at
>>> org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:278)
>>> at
>>> org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:49)
>>> at
>>> org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatch(StreamExecution.scala:553)
>>> at
>>> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1$$anonfun$1.apply$mcV$sp(StreamExecution.scala:273)
>>> at
>>> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1$$anonfun$1.apply(StreamExecution.scala:262)
>>> at
>>> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1$$anonfun$1.apply(StreamExecution.scala:262)
>>> at
>>> org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:278)
>>> at
>>> org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:49)
>>> at
>>> org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches$1.apply$mcZ$sp(StreamExecution.scala:262)
>>> at
>>> org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:43)
>>> at
>>> org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runBatches(StreamExecution.scala:257)
>>> ... 1 more
>>> Caused by: java.lang.IllegalStateException: Error reading delta file
>>> /tmp/temporary-b1516035-a0e6-4a37-9a47-19d55cb5d787/state/0/2/1.delta of
>>> HDFSStateStoreProvider[id = (op=0, part=2), dir =
>>> /tmp/temporary-b1516035-a0e6-4a37-9a47-19d55cb5d787/state/0/2]:
>>> /tmp/temporary-b1516035-a0e6-4a37-9a47-19d55cb5d787/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$$updateFromDeltaFile(HDFSBackedStateStoreProvider.scala:365)
>>> at
>>> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1$$anonfun$6.apply(HDFSBackedStateStoreProvider.scala:317)
>>> at
>>> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1$$anonfun$6.apply(HDFSBackedStateStoreProvider.scala:314)
>>> at scala.Option.getOrElse(Option.scala:121)
>>> at
>>> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1.apply(HDFSBackedStateStoreProvider.scala:314)
>>> at
>>> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$$anonfun$org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap$1.apply(HDFSBackedStateStoreProvider.scala:313)
>>> at scala.Option.getOrElse(Option.scala:121)
>>> at
>>> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.org$apache$spark$sql$execution$streaming$state$HDFSBackedStateStoreProvider$$loadMap(HDFSBackedStateStoreProvider.scala:313)
>>> at
>>> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.getStore(HDFSBackedStateStoreProvider.scala:220)
>>> at
>>> org.apache.spark.sql.execution.streaming.state.StateStore$.get(StateStore.scala:186)
>>> at
>>> org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:61)
>>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
>>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
>>> at
>>> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
>>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
>>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
>>> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
>>> at org.apache.spark.scheduler.Task.run(Task.scala:99)
>>> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:322)
>>> at
>>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>>> at
>>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
>>> at java.lang.Thread.run(Thread.java:745)
>>> Caused by: java.io.FileNotFoundException: File does not exist:
>>> /tmp/temporary-b1516035-a0e6-4a37-9a47-19d55cb5d787/state/0/2/1.delta
>>> at
>>> org.apache.hadoop.hdfs.server.namenode.INodeFile.valueOf(INodeFile.java:71)
>>> at
>>> org.apache.hadoop.hdfs.server.namenode.INodeFile.valueOf(INodeFile.java:61)
>>> at
>>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocationsInt(FSNamesystem.java:1828)
>>> at
>>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocations(FSNamesystem.java:1799)
>>> at
>>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getBlockLocations(FSNamesystem.java:1712)
>>> at
>>> org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.getBlockLocations(NameNodeRpcServer.java:588)
>>> at
>>> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.getBlockLocations(ClientNamenodeProtocolServerSideTranslatorPB.java:365)
>>> at
>>> org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$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:982)
>>> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2049)
>>> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2045)
>>> at java.security.AccessController.doPrivileged(Native Method)
>>> at javax.security.auth.Subject.doAs(Subject.java:422)
>>> at
>>> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
>>> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2043)
>>>
>>> at sun.reflect.GeneratedConstructorAccessor13.newInstance(Unknown
>>> Source)
>>> at
>>> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
>>> at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
>>> 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:362)
>>> ... 21 more
>>> Caused by:
>>> org.apache.hadoop.ipc.RemoteException(java.io.FileNotFoundException): File
>>> does not exist:
>>> /tmp/temporary-b1516035-a0e6-4a37-9a47-19d55cb5d787/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:588)
>>> 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:982)
>>> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2049)
>>> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2045)
>>> at java.security.AccessController.doPrivileged(Native Method)
>>> at javax.security.auth.Subject.doAs(Subject.java:422)
>>> at
>>> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
>>> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2043)
>>>
>>> at org.apache.hadoop.ipc.Client.call(Client.java:1475)
>>> at org.apache.hadoop.ipc.Client.call(Client.java:1412)
>>> at
>>> org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:229)
>>> at com.sun.proxy.$Proxy15.getBlockLocations(Unknown Source)
>>> at
>>> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getBlockLocations(ClientNamenodeProtocolTranslatorPB.java:255)
>>> at sun.reflect.GeneratedMethodAccessor38.invoke(Unknown Source)
>>> at
>>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>>> at java.lang.reflect.Method.invoke(Method.java:498)
>>> at
>>> org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191)
>>> at
>>> org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
>>> at com.sun.proxy.$Proxy16.getBlockLocations(Unknown Source)
>>> at
>>> org.apache.hadoop.hdfs.DFSClient.callGetBlockLocations(DFSClient.java:1226)
>>>
>>>
>>> On Wed, May 24, 2017 at 4:29 PM, Shixiong(Ryan) Zhu <
>>> shixi...@databricks.com> wrote:
>>>
>>>> What's the value of "hdfsCheckPointDir"? Could you list this directory
>>>> on HDFS and report the files there?
>>>>
>>>> On Wed, May 24, 2017 at 3:50 PM, Michael Armbrust <
>>>> mich...@databricks.com> wrote:
>>>>
>>>>> -dev
>>>>>
>>>>> Have you tried clearing out the checkpoint directory? Can you also
>>>>> give the full stack trace?
>>>>>
>>>>> On Wed, May 24, 2017 at 3:45 PM, kant kodali <kanth...@gmail.com>
>>>>> wrote:
>>>>>
>>>>>> Even if I do simple count aggregation like below I get the same error
>>>>>> as https://issues.apache.org/jira/browse/SPARK-19268
>>>>>>
>>>>>> Dataset<Row> df2 = df1.groupBy(functions.window(df1.col("Timestamp5"),
>>>>>> "24 hours", "24 hours"), df1.col("AppName")).count();
>>>>>>
>>>>>>
>>>>>> On Wed, May 24, 2017 at 3:35 PM, kant kodali <kanth...@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> Hi All,
>>>>>>>
>>>>>>> I am using Spark 2.1.1 and running in a Standalone mode using HDFS
>>>>>>> and Kafka
>>>>>>>
>>>>>>> I am running into the same problem as https://issues.apache.org/jira
>>>>>>> /browse/SPARK-19268 with my app(not KafkaWordCount).
>>>>>>>
>>>>>>> Here is my sample code
>>>>>>>
>>>>>>> *Here is how I create ReadStream*
>>>>>>>
>>>>>>> sparkSession.readStream()
>>>>>>> .format("kafka")
>>>>>>> .option("kafka.bootstrap.servers",
>>>>>>> config.getString("kafka.consumer.settings.bootstrapServers"))
>>>>>>> .option("subscribe",
>>>>>>> config.getString("kafka.consumer.settings.topicName"))
>>>>>>> .option("startingOffsets", "earliest")
>>>>>>> .option("failOnDataLoss", "false")
>>>>>>> .option("checkpointLocation", hdfsCheckPointDir)
>>>>>>> .load();
>>>>>>>
>>>>>>>
>>>>>>> *The core logic*
>>>>>>>
>>>>>>> Dataset<Row> df = ds.select(from_json(new
>>>>>>> Column("value").cast("string"), client.getSchema()).as("payload"));
>>>>>>> Dataset<Row> df1 = df.selectExpr("payload.info.*", "payload.data.*");
>>>>>>> Dataset<Row> df2 = df1.groupBy(window(df1.col("Timestamp5"), "24
>>>>>>> hours", "24 hours"), df1.col("AppName")).agg(sum("Amount"));
>>>>>>> StreamingQuery query = df1.writeStream().foreach(new
>>>>>>> KafkaSink()).outputMode("update").start();
>>>>>>> query.awaitTermination();
>>>>>>>
>>>>>>>
>>>>>>> I can also provide any other information you may need.
>>>>>>>
>>>>>>> Thanks!
>>>>>>>
>>>>>>
>>>>>>
>>>>>
>>>>
>>>
>>
>
