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https://issues.apache.org/jira/browse/YARN-321?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13709940#comment-13709940
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Karthik Kambatla commented on YARN-321:
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The approach in HistoryStorageDemo looks good, like the fact that the schema
goes into the tuple.
(Thinking out loud) Are we decided on who all can write to HistoryStorage?
# Single writer - RM? If so, the AMs should pass all the information to the RM.
Need to carefully handle the HA scenarios, may be as part of the HA work.
# Both AMs and RM write to HistoryStorage directly? Writes synchronized at the
tuple level? I am thinking of long-running services here - they might want
AM/RM to write tuples every so often.
> Generic application history service
> -----------------------------------
>
> Key: YARN-321
> URL: https://issues.apache.org/jira/browse/YARN-321
> Project: Hadoop YARN
> Issue Type: Improvement
> Reporter: Luke Lu
> Assignee: Vinod Kumar Vavilapalli
> Attachments: HistoryStorageDemo.java
>
>
> The mapreduce job history server currently needs to be deployed as a trusted
> server in sync with the mapreduce runtime. Every new application would need a
> similar application history server. Having to deploy O(T*V) (where T is
> number of type of application, V is number of version of application) trusted
> servers is clearly not scalable.
> Job history storage handling itself is pretty generic: move the logs and
> history data into a particular directory for later serving. Job history data
> is already stored as json (or binary avro). I propose that we create only one
> trusted application history server, which can have a generic UI (display json
> as a tree of strings) as well. Specific application/version can deploy
> untrusted webapps (a la AMs) to query the application history server and
> interpret the json for its specific UI and/or analytics.
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