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https://issues.apache.org/jira/browse/FLINK-5127?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Flink Jira Bot updated FLINK-5127:
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Labels: auto-deprioritized-major auto-unassigned stale-minor (was:
auto-deprioritized-major auto-unassigned)
I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help
the community manage its development. I see this issues has been marked as
Minor but is unassigned and neither itself nor its Sub-Tasks have been updated
for 180 days. I have gone ahead and marked it "stale-minor". If this ticket is
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> Reduce the amount of intermediate data in vertex-centric iterations
> -------------------------------------------------------------------
>
> Key: FLINK-5127
> URL: https://issues.apache.org/jira/browse/FLINK-5127
> Project: Flink
> Issue Type: Improvement
> Components: Library / Graph Processing (Gelly)
> Affects Versions: 1.1.0, 1.2.0
> Reporter: Vasia Kalavri
> Priority: Minor
> Labels: auto-deprioritized-major, auto-unassigned, stale-minor
>
> The vertex-centric plan contains a join between the workset (messages) and
> the solution set (vertices) that outputs <Vertex, Message> tuples. This
> intermediate dataset is then co-grouped with the edges to provide the Pregel
> interface directly.
> This issue proposes an improvement to reduce the size of this intermediate
> dataset. In particular, the vertex state does not have to be attached to all
> the output tuples of the join. If we replace the join with a coGroup and use
> an `Either` type, we can attach the vertex state to the first tuple only. The
> subsequent coGroup can retrieve the vertex state from the first tuple and
> correctly expose the Pregel interface.
> In my preliminary experiments, I find that this change reduces intermediate
> data by 2x for small vertex state and 4-5x for large vertex states.
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