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https://issues.apache.org/jira/browse/FLINK-1885?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14493710#comment-14493710
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ASF GitHub Bot commented on FLINK-1885:
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GitHub user markus-h opened a pull request:
https://github.com/apache/flink/pull/598
[FLINK-1885] [gelly] Added bulk execution mode to gellys vertex centric
iterations
See https://issues.apache.org/jira/browse/FLINK-1885
I essentially exchanged the delta iteration with a bulk iteration and made
the coGroup of the VertexUpdateUdf kind of an outer join so that the vertices
that are not changed in one superstep are kept around in the next one.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/markus-h/incubator-flink gellyBulkMode
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/598.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #598
----
commit e3641c88ea260dbb533015adfb6ef44272a2e615
Author: Markus Holzemer <markus.holze...@gmx.de>
Date: 2015-04-13T15:55:03Z
Added bulk execution mode to gellys vertex centric iterations
----
> Bulk mode for gelly
> -------------------
>
> Key: FLINK-1885
> URL: https://issues.apache.org/jira/browse/FLINK-1885
> Project: Flink
> Issue Type: Improvement
> Components: Gelly
> Reporter: Markus Holzemer
> Assignee: Markus Holzemer
> Priority: Minor
>
> For my research I need to execute graph algorithm with delta iterations and
> with bulk iterations. So I added an execution mode to gelly that executes the
> vertex centric iteration with a bulk iteration.
> Since gelly normally keeps the whole graph in the solution set of the delta
> iteration, it can only handle graphs that fit into the distributed memory of
> ones nodes (correct me if I am wrong). So a bulk mode could also be usefull
> for handling graphs that do not fit in memory.
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