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https://issues.apache.org/jira/browse/SPARK-29877?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean R. Owen reassigned SPARK-29877:
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Assignee: Joan Fontanals
> static PageRank allow checkPoint from previous computations
> -----------------------------------------------------------
>
> Key: SPARK-29877
> URL: https://issues.apache.org/jira/browse/SPARK-29877
> Project: Spark
> Issue Type: Wish
> Components: GraphX
> Affects Versions: 2.3.0
> Reporter: Joan Fontanals
> Assignee: Joan Fontanals
> Priority: Major
> Labels: graphx, pagerank
> Fix For: 2.3.0
>
>
> It would be really helpful to have the possibility, when computing
> staticPageRank to use a previous computation as a checkpoint to continue the
> iterations.
> I have done a small code proposal, but there is a problem because at the end
> of the iterations a normalization step is performed.
> Therefore, if we use this normalized graph as a checkpoint for a new set of
> iterations, the algorithm will not restart in a coherent way.
> I created a branch in my fork:
> [https://github.com/JoanFM/spark/tree/pageRank_checkPoint]
> I hope you can consider this feature, and if you do that you can implement
> yourself or propose me a way to handle this identified problem
> Thank you very much,
> Best regards,
> Joan
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