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Posted to yarn-issues@hadoop.apache.org by "Misha Dmitriev (JIRA)" <ji...@apache.org> on 2017/10/12 22:33:00 UTC

[jira] [Updated] (YARN-7320) Duplicate LiteralByteStrings in SystemCredentialsForAppsProto.credentialsForApp_

     [ https://issues.apache.org/jira/browse/YARN-7320?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Misha Dmitriev updated YARN-7320:
---------------------------------
    Attachment: YARN-7320.01.patch

> Duplicate LiteralByteStrings in SystemCredentialsForAppsProto.credentialsForApp_
> --------------------------------------------------------------------------------
>
>                 Key: YARN-7320
>                 URL: https://issues.apache.org/jira/browse/YARN-7320
>             Project: Hadoop YARN
>          Issue Type: Improvement
>            Reporter: Misha Dmitriev
>            Assignee: Misha Dmitriev
>         Attachments: YARN-7320.01.patch
>
>
> Using jxray (www.jxray.com) I've analyzed several heap dumps from YARN Resource Manager running in a big cluster. The tool uncovered several sources of memory waste. One problem, which results in wasting more than a quarter of all memory, is a large number of duplicate {{LiteralByteString}} objects coming from the following reference chain:
> {code}
> 1,011,810K (26.9%): byte[]: 5416705 / 100% dup arrays (22108 unique)
> ↖com.google.protobuf.LiteralByteString.bytes
> ↖org.apache.hadoop.yarn.proto.YarnServerCommonServiceProtos$.credentialsForApp_
> ↖{j.u.ArrayList}
> ↖j.u.Collections$UnmodifiableRandomAccessList.c
> ↖org.apache.hadoop.yarn.proto.YarnServerCommonServiceProtos$NodeHeartbeatResponseProto.systemCredentialsForApps_
> ↖org.apache.hadoop.yarn.server.api.protocolrecords.impl.pb.NodeHeartbeatResponsePBImpl.proto
> ↖org.apache.hadoop.yarn.server.resourcemanager.rmnode.RMNodeImpl.latestNodeHeartBeatResponse
> ↖org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FSSchedulerNode.rmNode
> ...
> {code}
> That is, collectively reference chains that look as above hold in memory 5.4 million {{LiteralByteString}} objects, but only ~22 thousand of these objects are unique. Deduplicating these objects, e.g. using a Google Object Interner instance, would save ~1GB of memory.
> It looks like the main place where the above {{LiteralByteString}}s are created and attached to the {{SystemCredentialsForAppsProto}} objects is in {{NodeHeartbeatResponsePBImpl.java}}, method {{addSystemCredentialsToProto()}}. Probably adding a call to an interner there will fix the problem. wi 



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