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From "Daryn Sharp (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HADOOP-14031) Reduce fair call queue performance impact
Date Fri, 27 Jan 2017 22:41:24 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-14031?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15843599#comment-15843599

Daryn Sharp commented on HADOOP-14031:

This will be a port of internal production enhancements that significantly improved performance
(up to 4X throughput) under heavy and/or abusive loads.  Ex. Heavy file creation or globbing
from wide multi-thousand task jobs.  These changes tamed client latencies from multi-hundred
ms into generally single-digit ms.

> Reduce fair call queue performance impact
> -----------------------------------------
>                 Key: HADOOP-14031
>                 URL: https://issues.apache.org/jira/browse/HADOOP-14031
>             Project: Hadoop Common
>          Issue Type: Bug
>          Components: ipc
>    Affects Versions: 2.7.0
>            Reporter: Daryn Sharp
>            Assignee: Daryn Sharp
> The fair call queue has performance deficits that create an illusion of reasonable performance
under heavy load.  However, there is excessive lock contention, priority inversion, and pushback/reconnect
issues that combine to create an artificial rate-limiting on the ingress.
> The result is server metrics look good, call queue looks low, yet clients experience
dismal latencies.

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