There are few implementations.
- ListVerticesinfo: loads vertices into array list.
- MapVerticesinfo: loads vertices into tree map.
- DiskVerticesInfo: loads vertices into a local file.
You can choose one of them by setting the "hama.graph.vertices.info"
in job configuration.
> conf.setClass("hama.graph.vertices.info",
"org.apache.hama.graph.ListVerticesInfo".
With the latest 0.6.3 version, you can use only ListVerticesInfo.
Please use the TRUNK.
On Tue, Jan 14, 2014 at 11:18 PM, Ammar Sahib <[email protected]> wrote:
> Hi
>
> According to the BSP model, the data is processed in the RAM and that is the
> reason why Pregel model is faster than the MapReduce (MapReduce writedown to
> disk). Can someone explains to me how to be sure that all the graph vertices
> are actually been loaded in RAM?
>
>
> How would HAMA behave if the vertices values are so big such that the
> available RAM memory is not enough to contains all of the vertices?
>
> Regards
--
Best Regards, Edward J. Yoon
@eddieyoon
