You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/08/04 16:20:00 UTC
[jira] [Assigned] (SPARK-32529) Spark 3.0 History Server May Never
Finish One Round Log Dir Scan
[ https://issues.apache.org/jira/browse/SPARK-32529?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-32529:
------------------------------------
Assignee: Apache Spark
> 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: Apache Spark
> Priority: Major
>
> 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}
>
>
>
>
>
>
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org