You need to tune it per your cluster. This is what mentioned in the docs: *"It is difficult to decide a general policy to use out-of-core capabilities *, as it depends on the behavior of the algorithm and the input graph. The exact number of partitions and messages to keep in memory depends on the cluster capabilities, the number of messages produced per superstep, and number of active vertices per superstep. Moreover, it depends on the type and size of vertex values and messages. For example, algorithms such as Belief Propagation tend to keep large vertex values, while algorithms such as clique computations tend to send large messages along. Hence, it depends on your algorithm what feature to rely on more."
Thanks Sundi On Wed, Oct 16, 2013 at 9:41 PM, Jianqiang Ou <oujianqiang...@gmail.com>wrote: > Hi Sundi, > > I just tried your method, but somehow the job failed, the attached is the > history of the job. and it was good without the outofcore options. Do you > have any clue why is that? > > The command I used to run the program is below: > > $HADOOP_HOME/bin/hadoop jar > $GIRAPH_HOME/giraph-examples/target/giraph-examples-1.1.0-SNAPSHOT-for-hadoop-0.20.203.0-jar-with-dependencies.jar > org.apache.giraph.GiraphRunner -Dgiraph.useOutOfCoreMessages=true > -Dgiraph.useOutOfCoreGraph=true > org.apache.giraph.examples.SimplePageRankComputation -vif > org.apache.giraph.io.formats.JsonLongDoubleFloatDoubleVertexInputFormat > -vip /user/andy/input/tiny_graph.txt -vof > org.apache.giraph.io.formats.IdWithValueTextOutputFormat -op > /user/andy/output/page3 -w 3 -mc > org.apache.giraph.examples.SimplePageRankComputation\$SimplePageRankMasterCompute > > Many thanks, > > Jianqiang > > On Wed, Oct 16, 2013 at 12:11 PM, Jianqiang Ou > <oujianqiang...@gmail.com>wrote: > >> got it, thank you very much! >> >> >> On Wed, Oct 16, 2013 at 10:43 AM, Jyotirmoy Sundi <sundi...@gmail.com>wrote: >> >>> Put it as -Dgiraph.useOutOfCoreMessages=true >>> -Dgiraph.useOutOfCoreGraph=true after GiraphRuuner >>> like >>> hadoop jar girap.jar org.apache.giraph.GiraphRunner >>> -Dgiraph.useOutOfCoreMessages=true >>> -Dgiraph.useOutOfCoreGraph=true ... >>> >>> >>> >>> >>> On Wed, Oct 16, 2013 at 7:29 AM, Jianqiang Ou >>> <oujianqiang...@gmail.com>wrote: >>> >>>> Hi I have a question about the out of core giraph. It is said that, in >>>> order to use disk to store the partions, we need to use " >>>> giraph.useOutOfCoreGraph=true", but where should I put this statement >>>> to? >>>> >>>> BTW, I am just trying to use the pagerank or shortestpath example to >>>> test the out of core performance of my cluster. >>>> >>>> Thanks very much, >>>> Jian >>>> >>> >>> >>> >>> -- >>> Best Regards, >>> Jyotirmoy Sundi >>> Data Engineer, >>> Admobius >>> >>> San Francisco, CA 94158 >>> >> >> > On Wed, Oct 16, 2013 at 12:11 PM, Jianqiang Ou > <oujianqiang...@gmail.com>wrote: > >> got it, thank you very much! >> >> >> On Wed, Oct 16, 2013 at 10:43 AM, Jyotirmoy Sundi <sundi...@gmail.com>wrote: >> >>> Put it as -Dgiraph.useOutOfCoreMessages=true >>> -Dgiraph.useOutOfCoreGraph=true after GiraphRuuner >>> like >>> hadoop jar girap.jar org.apache.giraph.GiraphRunner >>> -Dgiraph.useOutOfCoreMessages=true >>> -Dgiraph.useOutOfCoreGraph=true ... >>> >>> >>> >>> >>> On Wed, Oct 16, 2013 at 7:29 AM, Jianqiang Ou >>> <oujianqiang...@gmail.com>wrote: >>> >>>> Hi I have a question about the out of core giraph. It is said that, in >>>> order to use disk to store the partions, we need to use " >>>> giraph.useOutOfCoreGraph=true", but where should I put this statement >>>> to? >>>> >>>> BTW, I am just trying to use the pagerank or shortestpath example to >>>> test the out of core performance of my cluster. >>>> >>>> Thanks very much, >>>> Jian >>>> >>> >>> >>> >>> -- >>> Best Regards, >>> Jyotirmoy Sundi >>> Data Engineer, >>> Admobius >>> >>> San Francisco, CA 94158 >>> >> >> > -- Best Regards, Jyotirmoy Sundi Data Engineer, Admobius San Francisco, CA 94158
