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Posted to yarn-issues@hadoop.apache.org by "Chandni Singh (Jira)" <ji...@apache.org> on 2019/09/18 03:49:00 UTC
[jira] [Commented] (YARN-9839) NodeManager
java.lang.OutOfMemoryError unable to create new native thread
[ https://issues.apache.org/jira/browse/YARN-9839?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16932017#comment-16932017 ]
Chandni Singh commented on YARN-9839:
-------------------------------------
Caching {{LocalizerRunner}} which is a {{Thread}} is not a good idea.
The intention to cache it seems because the {{LocalizerRunner}} holds the data as well which can only be released when the container resources have been localized (message is received from the respective ContainerLocalizer)
{code}
final Map<LocalResourceRequest,LocalizerResourceRequestEvent> scheduled;
// Its a shared list between Private Localizer and dispatcher thread.
final List<LocalizerResourceRequestEvent> pending;
{code}
This codes needs to be modified so that the Thread itself is not cached but only the relevant information is cached.
> NodeManager java.lang.OutOfMemoryError unable to create new native thread
> -------------------------------------------------------------------------
>
> Key: YARN-9839
> URL: https://issues.apache.org/jira/browse/YARN-9839
> Project: Hadoop YARN
> Issue Type: Bug
> Reporter: Chandni Singh
> Assignee: Chandni Singh
> Priority: Major
>
> NM fails with the below error even though the ulimit for NM is large.
> {code}
> 2019-09-12 10:27:46,348 ERROR org.apache.hadoop.util.Shell: Caught java.lang.OutOfMemoryError: unable to create new native thread. One possible reason is that ulimit setting of 'max user processes' is too low. If so, do 'ulimit -u <largerNum>' and try again.
> 2019-09-12 10:27:46,348 FATAL org.apache.hadoop.yarn.YarnUncaughtExceptionHandler: Thread Thread[LocalizerRunner for container_e95_1568242982456_152026_01_000132,5,main] threw an Error. Shutting down now...
> java.lang.OutOfMemoryError: unable to create new native thread
> at java.lang.Thread.start0(Native Method)
> at java.lang.Thread.start(Thread.java:717)
> at org.apache.hadoop.util.Shell.runCommand(Shell.java:562)
> at org.apache.hadoop.util.Shell.run(Shell.java:482)
> at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:776)
> at org.apache.hadoop.util.Shell.execCommand(Shell.java:869)
> at org.apache.hadoop.util.Shell.execCommand(Shell.java:852)
> at org.apache.hadoop.fs.FileUtil.execCommand(FileUtil.java:1097)
> at org.apache.hadoop.fs.RawLocalFileSystem$DeprecatedRawLocalFileStatus.loadPermissionInfo(RawLocalFileSystem.java:659)
> at org.apache.hadoop.fs.RawLocalFileSystem$DeprecatedRawLocalFileStatus.getPermission(RawLocalFileSystem.java:634)
> at org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ResourceLocalizationService.checkLocalDir(ResourceLocalizationService.java:1441)
> at org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ResourceLocalizationService.getInitializedLocalDirs(ResourceLocalizationService.java:1405)
> at org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ResourceLocalizationService.access$800(ResourceLocalizationService.java:140)
> at org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ResourceLocalizationService$LocalizerRunner.run(ResourceLocalizationService.java:1114)
> {code}
> For each container localization request, there is a {{LocalizerRunner}} thread created and each {{LocalizerRunner}} creates another thread to get file permission info which is where we see this failure from. It is in Shell.java -> {{runCommand()}}
> {code}
> Thread errThread = new Thread() {
> @Override
> public void run() {
> try {
> String line = errReader.readLine();
> while((line != null) && !isInterrupted()) {
> errMsg.append(line);
> errMsg.append(System.getProperty("line.separator"));
> line = errReader.readLine();
> }
> } catch(IOException ioe) {
> LOG.warn("Error reading the error stream", ioe);
> }
> }
> };
> {code}
> {{LocalizerRunner}} are Threads which are cached in {{ResourceLocalizationService}}. Looking into a possibility if they are not getting removed from the cache.
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