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https://issues.apache.org/jira/browse/HAMA-642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Jungblut updated HAMA-642:
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    Attachment: HAMA-642_unix_4.patch

JDBM removed, instead used my queue. We will see if this works better and 
faster than JDBM.
+ project overall formatting

In any case, I have removed the repair functionality, because it was just 
adding too much complexity to the load vertices method and without random 
access this is pure waste of time. We should inform the users about this then.

Usual testcases work, would be nice if you can (hopefully the last time) check 
on a cluster. Thanks Ed and sorry for all the confusion with b+trees and jdbm.

I will add the prefetcher soon, until I'm convinced that really works...
                
> Make GraphRunner disk based
> ---------------------------
>
>                 Key: HAMA-642
>                 URL: https://issues.apache.org/jira/browse/HAMA-642
>             Project: Hama
>          Issue Type: Improvement
>          Components: graph
>    Affects Versions: 0.5.0
>            Reporter: Thomas Jungblut
>            Assignee: Thomas Jungblut
>         Attachments: HAMA-642_unix_1.patch, HAMA-642_unix_2.patch, 
> HAMA-642_unix_3.patch, HAMA-642_unix_4.patch, HAMA-scale_1.patch, 
> HAMA-scale_2.patch, HAMA-scale_3.patch, HAMA-scale_4.patch
>
>
> To improve scalability we can improve the graph runner to be disk based.
> Which basically means:
> - We have just a single Vertex instance that get's refilled.
> - We directly write vertices to disk after partitioning
> - In every superstep we iterate over the vertices on disk, fill the vertex 
> instance and call the users compute functions
> Problems:
> - State other than vertex value can't be stored easy
> - How do we deal with random access after messages have arrived?
> So I think we should make the graph runner more hybrid, like using the queues 
> we have implemented in the messaging. So the graphrunner can be configured to 
> run completely on disk, in cached mode or in in-memory mode.

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