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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 updated SPARK-29877:
---------------------------------
       Fix Version/s:     (was: 3.1.0)
                      3.0.0
    Target Version/s:   (was: 2.3.0)
          Issue Type: Improvement  (was: Wish)
              Labels:   (was: graphx pagerank)
            Priority: Minor  (was: Major)

> static PageRank allow checkPoint from previous computations
> -----------------------------------------------------------
>
>                 Key: SPARK-29877
>                 URL: https://issues.apache.org/jira/browse/SPARK-29877
>             Project: Spark
>          Issue Type: Improvement
>          Components: GraphX
>    Affects Versions: 2.3.0
>            Reporter: Joan Fontanals
>            Assignee: Joan Fontanals
>            Priority: Minor
>             Fix For: 3.0.0
>
>
> 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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