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Posted to issues@spark.apache.org by "Ji Chen (Jira)" <ji...@apache.org> on 2021/05/24 10:30:00 UTC
[jira] [Commented] (SPARK-26385) YARN - Spark Stateful Structured
streaming HDFS_DELEGATION_TOKEN not found in cache
[ https://issues.apache.org/jira/browse/SPARK-26385?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17350337#comment-17350337 ]
Ji Chen commented on SPARK-26385:
---------------------------------
[~zjiash] Has this problem been solved please?
> 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}
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