[ https://issues.apache.org/jira/browse/SPARK-26385?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16728145#comment-16728145 ]
Hyukjin Kwon commented on SPARK-26385: -------------------------------------- Mind adding the code you ran? It's also better to iterate with dev mailing list before filing it as an issue in JIRA. > YARN - Spark Stateful Structured streaming HDFS_DELEGATION_TOKEN not found in > cache > ----------------------------------------------------------------------------------- > > Key: SPARK-26385 > URL: https://issues.apache.org/jira/browse/SPARK-26385 > Project: Spark > Issue Type: Bug > Components: Structured Streaming > Affects Versions: 2.4.0 > Environment: Hadoop 2.6.0, Spark 2.4.0 > Reporter: T M > Priority: Major > > > Hello, > > I have Spark Structured Streaming job which is runnning on YARN(Hadoop 2.6.0, > Spark 2.4.0). After 25-26 hours, my job stops working with following error: > {code:java} > 2018-12-16 22:35:17 ERROR > org.apache.spark.internal.Logging$class.logError(Logging.scala:91): Query > TestQuery[id = a61ce197-1d1b-4e82-a7af-60162953488b, runId = > a56878cf-dfc7-4f6a-ad48-02cf738ccc2f] terminated with error > org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.token.SecretManager$InvalidToken): > token (token for REMOVED: HDFS_DELEGATION_TOKEN owner=REMOVED, renewer=yarn, > realUser=, issueDate=1544903057122, maxDate=1545507857122, > sequenceNumber=10314, masterKeyId=344) can't be found in cache at > org.apache.hadoop.ipc.Client.call(Client.java:1470) at > org.apache.hadoop.ipc.Client.call(Client.java:1401) at > org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:232) > at com.sun.proxy.$Proxy9.getFileInfo(Unknown Source) at > org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getFileInfo(ClientNamenodeProtocolTranslatorPB.java:752) > at sun.reflect.GeneratedMethodAccessor5.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:187) > at > org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102) > at com.sun.proxy.$Proxy10.getFileInfo(Unknown Source) at > org.apache.hadoop.hdfs.DFSClient.getFileInfo(DFSClient.java:1977) at > org.apache.hadoop.fs.Hdfs.getFileStatus(Hdfs.java:133) at > org.apache.hadoop.fs.FileContext$14.next(FileContext.java:1120) at > org.apache.hadoop.fs.FileContext$14.next(FileContext.java:1116) at > org.apache.hadoop.fs.FSLinkResolver.resolve(FSLinkResolver.java:90) at > org.apache.hadoop.fs.FileContext.getFileStatus(FileContext.java:1116) at > org.apache.hadoop.fs.FileContext$Util.exists(FileContext.java:1581) at > org.apache.spark.sql.execution.streaming.FileContextBasedCheckpointFileManager.exists(CheckpointFileManager.scala:326) > at > org.apache.spark.sql.execution.streaming.HDFSMetadataLog.get(HDFSMetadataLog.scala:142) > at > org.apache.spark.sql.execution.streaming.HDFSMetadataLog.add(HDFSMetadataLog.scala:110) > at > org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch$1.apply$mcV$sp(MicroBatchExecution.scala:544) > at > org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch$1.apply(MicroBatchExecution.scala:542) > at > org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch$1.apply(MicroBatchExecution.scala:542) > at > org.apache.spark.sql.execution.streaming.MicroBatchExecution.withProgressLocked(MicroBatchExecution.scala:554) > at > org.apache.spark.sql.execution.streaming.MicroBatchExecution.org$apache$spark$sql$execution$streaming$MicroBatchExecution$$runBatch(MicroBatchExecution.scala:542) > at > org.apache.spark.sql.execution.streaming.MicroBatchExecution$$anonfun$runActivatedStream$1$$anonfun$apply$mcZ$sp$1.apply$mcV$sp(MicroBatchExecution.scala:198) > at > org.apache.spark.sql.execution.streaming.MicroBatchExecution$$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$$runStream(StreamExecution.scala:279) > at > org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189){code} > > ^It is important to notice that I tried usual fix for this kind of problems:^ > > {code:java} > --conf "spark.hadoop.fs.hdfs.impl.disable.cache=true" > > {code} -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org