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https://issues.apache.org/jira/browse/GIRAPH-249?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13416721#comment-13416721
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Eli Reisman commented on GIRAPH-249:
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sorry formatting did not come out. so after cycling through the X healthy
workers until X^2 partitionID's are assigned, this is the grouping from above
as worker(owned partition id's):
worker 1 (1, 6, 11, ...)
worker 2 (2, 7, 12, ...)
worker 3 (3, 8, 13, ...)
hopefully thats a bit clearer. Anyway its in HashMasterPartitioner too
> Move part of the graph out-of-core when memory is low
> -----------------------------------------------------
>
> Key: GIRAPH-249
> URL: https://issues.apache.org/jira/browse/GIRAPH-249
> Project: Giraph
> Issue Type: Improvement
> Reporter: Alessandro Presta
> Assignee: Alessandro Presta
> Attachments: GIRAPH-249.patch, GIRAPH-249.patch, GIRAPH-249.patch,
> GIRAPH-249.patch, GIRAPH-249.patch
>
>
> There has been some talk about Giraph's scaling limitations due to keeping
> the whole graph and messages in RAM.
> We need to investigate methods to fall back to disk when running out of
> memory, while gracefully degrading performance.
> This issue is for graph storage. Messages should probably be a separate
> issue, although the interplay between the two is crucial.
> We should also discuss what are our primary goals here: completing a job
> (albeit slowly) instead of failing when the graph is too big, while still
> encouraging memory optimizations and high-memory clusters; or restructuring
> Giraph to be as efficient as possible in disk mode, making it almost a
> standard way of operating.
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