Структурированная потоковая передача Spark :: Неожиданная ошибка :: STATUS_INVALID_HANDLE с path = ""

Aug 21 2020

У меня есть задание потоковой передачи структуры Spark (2.4.4) на Hortonworks (2.6.4), где я читаю сообщения из темы kafka, после того, как задание потоковой передачи проверки схемы сохраняет эти сообщения в HBASE и HIVE.

После 6-7 часов выполнения задание умирает из-за STATUS_INVALID_HANDLE . Если я удалю Hive Details, такого исключения в процессе не будет.

Указанный ниже путь уже существует в HDFS.

Любая помощь в решении этой проблемы ??

    Caused by: org.apache.hadoop.ipc.RemoteException(java.io.IOException): Unexpected error: STATUS_INVALID_HANDLE with path="/dev/projects/spark-checkpoint/hive/BLR_TOPIC_1-cash_blr_db_cash_streax_blr_table/offsets/.287.b53c5d5e-7f59-4aec-a6a7-015813d44b43.tmp", permission=666, clientname=DFSClient_NONMAPREDUCE_237312562_34
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$Invoker.invoke(ProtobufRpcEngine.java:229) at com.sun.proxy.$Proxy10.create(Unknown Source)
at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.create(ClientNamenodeProtocolTranslatorPB.java:296)
at sun.reflect.GeneratedMethodAccessor147.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:497)
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.$Proxy11.create(Unknown Source) at org.apache.hadoop.hdfs.DFSOutputStream.newStreamForCreate(DFSOutputStream.java:1648) at org.apache.hadoop.hdfs.DFSClient.primitiveCreate(DFSClient.java:1750) at org.apache.hadoop.fs.Hdfs.createInternal(Hdfs.java:102) at org.apache.hadoop.fs.Hdfs.createInternal(Hdfs.java:58) at org.apache.hadoop.fs.AbstractFileSystem.create(AbstractFileSystem.java:584) at org.apache.hadoop.fs.FileContext$3.next(FileContext.java:686)
at org.apache.hadoop.fs.FileContext$3.next(FileContext.java:682) at org.apache.hadoop.fs.FSLinkResolver.resolve(FSLinkResolver.java:90) at org.apache.hadoop.fs.FileContext.create(FileContext.java:688) at org.apache.spark.sql.execution.streaming.FileContextBasedCheckpointFileManager.createTempFile(CheckpointFileManager.scala:311) at org.apache.spark.sql.execution.streaming.CheckpointFileManager$RenameBasedFSDataOutputStream.<init>(CheckpointFileManager.scala:133)
at org.apache.spark.sql.execution.streaming.CheckpointFileManager$RenameBasedFSDataOutputStream.<init>(CheckpointFileManager.scala:136) at org.apache.spark.sql.execution.streaming.FileContextBasedCheckpointFileManager.createAtomic(CheckpointFileManager.scala:318) at org.apache.spark.sql.execution.streaming.HDFSMetadataLog.org$apache$spark$sql$execution$streaming$HDFSMetadataLog$$writeBatchToFile(HDFSMetadataLog.scala:123)
at org.apache.spark.sql.execution.streaming.HDFSMetadataLog$$anonfun$add$1.apply$mcZ$sp(HDFSMetadataLog.scala:112) at org.apache.spark.sql.execution.streaming.HDFSMetadataLog$$anonfun$add$1.apply(HDFSMetadataLog.scala:110)
at org.apache.spark.sql.execution.streaming.HDFSMetadataLog$$anonfun$add$1.apply(HDFSMetadataLog.scala:110) at scala.Option.getOrElse(Option.scala:121) at org.apache.spark.sql.execution.streaming.HDFSMetadataLog.add(HDFSMetadataLog.scala:110) at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$constructNextBatch$1$$anonfun$apply$mcZ$sp$3.apply$mcV$sp(MicroBatchExecution.scala:382)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$constructNextBatch$1$$anonfun$apply$mcZ$sp$3.apply(MicroBatchExecution.scala:381) at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$constructNextBatch$1$$anonfun$apply$mcZ$sp$3.apply(MicroBatchExecution.scala:381)
at org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:351) at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58) at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$constructNextBatch$1.apply$mcZ$sp(MicroBatchExecution.scala:381) at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$constructNextBatch$1.apply(MicroBatchExecution.scala:337) at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$constructNextBatch$1.apply(MicroBatchExecution.scala:337) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.withProgressLocked(MicroBatchExecution.scala:557) at org.apache.spark.sql.execution.streaming.MicroBatchExecution.org$apache$spark$sql$execution$streaming$MicroBatchExecution$$constructNextBatch(MicroBatchExecution.scala:337)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply$mcV$sp(MicroBatchExecution.scala:183)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply(MicroBatchExecution.scala:166)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply(MicroBatchExecution.scala:166)
at org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:351) at org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58) at org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1.apply$mcZ$sp(MicroBatchExecution.scala:166)
at org.apache.spark.sql.execution.streaming.ProcessingTimeExecutor.execute(TriggerExecutor.scala:56)
at org.apache.spark.sql.execution.streaming.MicroBatchExecution.runActivatedStream(MicroBatchExecution.scala:160)
at org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:281) ```

Ответы

Deepak Sep 24 2020 at 14:28

Мы пробовали запускать то же самое на нескольких версиях Spark, таких как 2.2.0, 2.4.0, 2.4.6.