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From "Kihwal Lee (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HADOOP-14035) Reduce fair call queue backoff's impact on clients
Date Tue, 06 Jun 2017 18:03:18 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-14035?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16039363#comment-16039363

Kihwal Lee commented on HADOOP-14035:

bq. only requires the change of clientBackOffEnabled from final to volatile and adding a setter
for it.
+1. Looks good. I've verified that that and the conflict resolution in the test are the only
change from the branch-2 patch.

> Reduce fair call queue backoff's impact on clients
> --------------------------------------------------
>                 Key: HADOOP-14035
>                 URL: https://issues.apache.org/jira/browse/HADOOP-14035
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: ipc
>    Affects Versions: 2.7.0
>            Reporter: Daryn Sharp
>            Assignee: Daryn Sharp
>             Fix For: 2.9.0, 3.0.0-alpha4
>         Attachments: HADOOP-14035.branch-2.8.patch, HADOOP-14035.branch-2.patch, HADOOP-14035.patch
> When fcq backoff is enabled and an abusive client overflows the call queue, its connection
is closed, as well as subsequent good client connections.   Disconnects are very disruptive,
esp. to multi-threaded clients with multiple outstanding requests, or clients w/o a retry
proxy (ex. datanodes).
> Until the abusive user is downgraded to a lower priority queue, disconnect/reconnect
mayhem occurs which significantly degrades performance.  Server metrics look good despite
horrible client latency.
> The fcq should utilize selective ipc disconnects to avoid pushback disconnecting good

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