[jira] [Commented] (FLINK-6309) Memory consumer weights should be calculated in job vertex level

["Xu Pingyong (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/FLINK-6309?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15977892#comment-15977892 ] 

Xu Pingyong commented on FLINK-6309:
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Memory consumer weights should be considered not only in terms of chaining , but also in slot sharing.

> Memory consumer weights should be calculated in job vertex level
> ----------------------------------------------------------------
>
>                 Key: FLINK-6309
>                 URL: https://issues.apache.org/jira/browse/FLINK-6309
>             Project: Flink
>          Issue Type: Improvement
>          Components: Optimizer
>            Reporter: Kurt Young
>            Assignee: Xu Pingyong
>
> Currently in {{PlanFinalizer}}, we travel the whole job vertexes to calculate the memory consumer weights, and then assign the weights for each job vertex. In a case of a large job graph, e.g. with multiple joins, group reduces, the consumer weights will be high and the usable memory for each job vertex will be very low. 
> I think it makes more sense to calculate the memory consumer weights in job vertex level (after chaining) to maximize the memory utility.



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