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From "Benjamin Hindman (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (MESOS-2353) Improve performance of the state.json endpoint for large clusters.
Date Mon, 21 Dec 2015 17:58:47 GMT

     [ https://issues.apache.org/jira/browse/MESOS-2353?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Benjamin Hindman updated MESOS-2353:
------------------------------------
    Sprint: Twitter Mesos Q1 Sprint 5, Mesosphere Sprint 24, Mesosphere Sprint 25  (was: Twitter
Mesos Q1 Sprint 5, Mesosphere Sprint 24)

> Improve performance of the state.json endpoint for large clusters.
> ------------------------------------------------------------------
>
>                 Key: MESOS-2353
>                 URL: https://issues.apache.org/jira/browse/MESOS-2353
>             Project: Mesos
>          Issue Type: Improvement
>          Components: master
>            Reporter: Benjamin Mahler
>            Assignee: Michael Park
>              Labels: scalability, twitter
>
> The master's state.json endpoint consistently takes a long time to compute the JSON result,
for large clusters:
> {noformat}
> $ time curl -s -o /dev/null localhost:5050/master/state.json
> Mon Jan 26 22:38:50 UTC 2015
> real	0m13.174s
> user	0m0.003s
> sys	0m0.022s
> {noformat}
> This can cause the master to get backlogged if there are many state.json requests in
flight.
> Looking at {{perf}} data, it seems most of the time is spent doing memory allocation
/ de-allocation. This ticket will try to capture any low hanging fruit to speed this up. Possibly
we can leverage moves if they are not already being used by the compiler.



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