hadoop-yarn-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Vrushali C (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-3901) Populate flow run data in the flow_run & flow activity tables
Date Thu, 10 Sep 2015 16:18:46 GMT

    [ https://issues.apache.org/jira/browse/YARN-3901?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14739036#comment-14739036
] 

Vrushali C commented on YARN-3901:
----------------------------------

Hi [~gtCarrera9]

The start and end times for a flow run can be evaluated if you have all the known start times
and end times of applications in that flow run and min/max timestamp can be evaluated. Hence
this can be determined from the flow run table. But in the flow activity table, the purpose
is to note that a flow was "active" on that day, meaning an application in that flow either
started, completed or was running on that day. So when Joep and I had reviewed my patch together
we realized that calculating the min/max in the flow activity table wont work for apps that
span day boundaries and so in his comment on Aug 29th, there is a note "No timestamp needed
in FlowActivity table. Runs can start one day and end another. Probably start without, add
later if needed." That meant we did not need the coprocessor to determine min or max in the
flow activity table. Hence I removed it.

HTH
Vrushali



> Populate flow run data in the flow_run & flow activity tables
> -------------------------------------------------------------
>
>                 Key: YARN-3901
>                 URL: https://issues.apache.org/jira/browse/YARN-3901
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: timelineserver
>            Reporter: Vrushali C
>            Assignee: Vrushali C
>         Attachments: YARN-3901-YARN-2928.1.patch, YARN-3901-YARN-2928.2.patch, YARN-3901-YARN-2928.3.patch,
YARN-3901-YARN-2928.4.patch, YARN-3901-YARN-2928.5.patch
>
>
> As per the schema proposed in YARN-3815 in https://issues.apache.org/jira/secure/attachment/12743391/hbase-schema-proposal-for-aggregation.pdf
> filing jira to track creation and population of data in the flow run table. 
> Some points that are being  considered:
> - Stores per flow run information aggregated across applications, flow version
> RM’s collector writes to on app creation and app completion
> - Per App collector writes to it for metric updates at a slower frequency than the metric
updates to application table
> primary key: cluster ! user ! flow ! flow run id
> - Only the latest version of flow-level aggregated metrics will be kept, even if the
entity and application level keep a timeseries.
> - The running_apps column will be incremented on app creation, and decremented on app
completion.
> - For min_start_time the RM writer will simply write a value with the tag for the applicationId.
A coprocessor will return the min value of all written values. - 
> - Upon flush and compactions, the min value between all the cells of this column will
be written to the cell without any tag (empty tag) and all the other cells will be discarded.
> - Ditto for the max_end_time, but then the max will be kept.
> - Tags are represented as #type:value. The type can be not set (0), or can indicate running
(1) or complete (2). In those cases (for metrics) only complete app metrics are collapsed
on compaction.
> - The m! values are aggregated (summed) upon read. Only when applications are completed
(indicated by tag type 2) can the values be collapsed.
> - The application ids that have completed and been aggregated into the flow numbers are
retained in a separate column for historical tracking: we don’t want to re-aggregate for
those upon replay
> 



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Mime
View raw message