From: Maria J. <mar...@gm...> - 2014-10-16 00:26:55
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Dear All, I am trying to load yago2s 18.5GB ( http://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/yago-naga/yago/downloads/ <https://contactmonkey.com/api/v1/tracker?cm_session=4d54369b-9f5b-4f3b-ae2d-5c05ba2939a0&cm_type=link&cm_link=36eb659b-7a36-459f-95da-e6d711aec4d0&cm_destination=http://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/yago-naga/yago/downloads/>) in Bigdata. I downloaded bigdata from http://www.bigdata.com/download <https://contactmonkey.com/api/v1/tracker?cm_session=4d54369b-9f5b-4f3b-ae2d-5c05ba2939a0&cm_type=link&cm_link=0b0bc5d8-f7fe-46b3-b416-31eb502201c4&cm_destination=http://www.bigdata.com/download> and I am using Bigdata workbench via http://localhost:9999. I am loading yago2s in BigData's default namespace "kb". I am loading yago2s using update by specifying the file path there. While Bigdata is loading yago I notice that it consumes a significant amount of CPU and RAM for 4-5 hours, but after that it stops using RAM. But my dilemma is that BigData workbench still keeps on showing "Running update.." although BigData does not consume any RAM or CPU for the next 48 hours or so (In fact it keeps showing "Running update.." until I kill the process). Can you please suggest as to where am I going wrong as after killing the process BigData is not able to retrieve any tuples (and shows 0 results even for the query select ?a?b?c where{?a ?b ?c}) Also I am using BigData on a server with 16 cores and 64 GB RAM? Any help in this regard will be deeply appreciated. Cheers, Maria |