Read your codes again and found one issue: you set "checkpointLocation" in
`readStream`. It should be set in `writeStream`. However, I still have no
idea why use a temp checkpoint location will fail.
On Thu, May 25, 2017 at 2:23 PM, kant kodali <kanth...@gmail.com> wrote:
> I did the following
>
> *bin/hadoop fs -mkdir -p **/usr/local/hadoop/checkpoint* and did *bin/hadoop
> fs -ls / *
>
> and I can actually see */tmp* and */usr* and inside of */usr *there is
> indeed *local/hadoop/checkpoint. *
>
> So until here it looks fine.
>
> I also cleared everything */tmp/** as @Michael suggested using *bin/hadoop
> fs -rmdir * such that when I do *bin/hadoop fs -ls /tmp *I don't see
> anything.
>
> Now I ran my spark driver program using spark-submit it failed with the
> following exception
>
> *File does not exist:
> /tmp/temporary-c675a900-eee5-4bb0-a7d3-098dcef3ae53/state/0/2/1.delta*
>
> so I did *bin/hadoop fs -ls *
> */tmp/temporary-c675a900-eee5-4bb0-a7d3-098dcef3ae53/state/0/2 *
>
> and I did not see anything there like *1.delta(there are just no files)*
> however
> all these directories
> */tmp/temporary-c675a900-eee5-4bb0-a7d3-098dcef3ae53/state/0/2
> *do exist.
>
> For my checkPointLocation I had passed */usr/local/hadoop/checkpoint *
> and *hdfs://<namenode:port>/usr/local/hadoop/checkpoint *so far and
> both didn't work for me. It is failing with the same error "*File does
> not exist:
> /tmp/temporary-c675a900-eee5-4bb0-a7d3-098dcef3ae53/state/0/2/1.delta*"
>
> so what can be the problem? any ideas?
>
> Thanks!
>
> On Thu, May 25, 2017 at 1:31 AM, kant kodali <kanth...@gmail.com> wrote:
>
>> 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!
>>>>>>>>>
>>>>>>>>
>>>>>>>>
>>>>>>>
>>>>>>
>>>>>
>>>>
>>>
>>
>
