Hi Ryan, You are right I was setting checkpointLocation for readStream. Now I did set if for writeStream as well like below
StreamingQuery query = df2.writeStream().foreach(new KafkaSink()).option( "checkpointLocation","/usr/local/hadoop/checkpoint").outputMode("update" ).start(); query.awaitTermination(); *and now I can at very least see there are directories like* -rw-r--r-- 2 ubuntu supergroup 45 2017-05-25 21:29 /usr/local/hadoop/checkpoint/metadata drwxr-xr-x - ubuntu supergroup 0 2017-05-25 21:30 /usr/local/hadoop/checkpoint/offsets drwxr-xr-x - ubuntu supergroup 0 2017-05-25 21:29 /usr/local/hadoop/checkpoint/sources drwxr-xr-x - ubuntu supergroup 0 2017-05-25 21:30 /usr/local/hadoop/checkpoint/state However it still fails with *org.apache.hadoop.ipc.RemoteException(java.io.FileNotFoundException): File does not exist: /usr/local/hadoop/checkpoint/state/0/1/1.delta* On Thu, May 25, 2017 at 2:31 PM, Shixiong(Ryan) Zhu <shixi...@databricks.com > wrote: > 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! >>>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>> >>>>>>> >>>>>> >>>>> >>>> >>> >> >