and OffHeapVerticesInfo for loading vertices off heap, which is available with 0.6.3 as well if I recall correctly. Tommaso
2014/1/15 Edward J. Yoon <[email protected]> > 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 >
