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https://issues.apache.org/jira/browse/FLINK-6309?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xu Pingyong reassigned FLINK-6309:
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Assignee: Xu Pingyong
> 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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