Should I file a ticket or should I try another version like Spark 2.2 since I am currently using 2.1.1?
On Thu, May 25, 2017 at 2:38 PM, kant kodali <kanth...@gmail.com> wrote: > 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 > <http://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! >>>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>> >>>>>>>> >>>>>>> >>>>>> >>>>> >>>> >>> >> >