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! >>>>>>>> >>>>>>> >>>>>>> >>>>>> >>>>> >>>> >>> >> >