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https://issues.apache.org/jira/browse/SPARK-32529?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dongjoon Hyun resolved SPARK-32529.
-----------------------------------
Fix Version/s: 3.1.0
3.0.1
Resolution: Fixed
Issue resolved by pull request 29350
[https://github.com/apache/spark/pull/29350]
> Spark 3.0 History Server May Never Finish One Round Log Dir Scan
> ----------------------------------------------------------------
>
> Key: SPARK-32529
> URL: https://issues.apache.org/jira/browse/SPARK-32529
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.0.0
> Reporter: Yan Xiaole
> Assignee: Yan Xiaole
> Priority: Major
> Fix For: 3.0.1, 3.1.0
>
>
> If there are a large number (>100k) of applications log dir, listing the log
> dir will take a few seconds. After getting the path list some applications
> might have finished already, and the filename will change from
> "foo.inprogress" to "foo".
> It leads to a problem when adding an entry to the listing, querying file
> status like `fileSizeForLastIndex` will throw out a `FileNotFoundException`
> exception if the application was finished. And the exception will abort
> current loop, in a busy cluster, it will make history server couldn't list
> and load any application log.
>
>
> {code:java}
> 20/08/03 15:17:23 ERROR FsHistoryProvider: Exception in checking for event
> log updates
> java.io.FileNotFoundException: File does not exist:
> hdfs://xx/logs/spark/application_11111111111111.lz4.inprogress
> at
> org.apache.hadoop.hdfs.DistributedFileSystem$29.doCall(DistributedFileSystem.java:1527)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem$29.doCall(DistributedFileSystem.java:1520)
> at
> org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1520)
> at
> org.apache.spark.deploy.history.SingleFileEventLogFileReader.status$lzycompute(EventLogFileReaders.scala:170)
> at
> org.apache.spark.deploy.history.SingleFileEventLogFileReader.status(EventLogFileReaders.scala:170)
> at
> org.apache.spark.deploy.history.SingleFileEventLogFileReader.fileSizeForLastIndex(EventLogFileReaders.scala:174)
> at
> org.apache.spark.deploy.history.FsHistoryProvider.$anonfun$checkForLogs$7(FsHistoryProvider.scala:523)
> at
> org.apache.spark.deploy.history.FsHistoryProvider.$anonfun$checkForLogs$7$adapted(FsHistoryProvider.scala:466)
> at
> scala.collection.TraversableLike.$anonfun$filterImpl$1(TraversableLike.scala:256)
> at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
> at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
> at scala.collection.TraversableLike.filterImpl(TraversableLike.scala:255)
> at scala.collection.TraversableLike.filterImpl$(TraversableLike.scala:249)
> at scala.collection.AbstractTraversable.filterImpl(Traversable.scala:108)
> at scala.collection.TraversableLike.filter(TraversableLike.scala:347)
> at scala.collection.TraversableLike.filter$(TraversableLike.scala:347)
> at scala.collection.AbstractTraversable.filter(Traversable.scala:108)
> at
> org.apache.spark.deploy.history.FsHistoryProvider.checkForLogs(FsHistoryProvider.scala:466)
> at
> org.apache.spark.deploy.history.FsHistoryProvider.$anonfun$startPolling$3(FsHistoryProvider.scala:287)
> at org.apache.spark.util.Utils$.tryOrExit(Utils.scala:1302)
> at
> org.apache.spark.deploy.history.FsHistoryProvider.$anonfun$getRunner$1(FsHistoryProvider.scala:210)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748){code}
>
>
>
>
>
>
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