Yes, I had try that too. I took the pre-built spark 1.1 release. If you there
are changes in up coming changes for GraphX library, just let me know or in
spark 1.2 I can do try on that.
--Harihar
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--Harihar
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Did you try running PageRank.scala instead of LiveJournalPageRank.scala?
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Thanks Ankur, Its really help full. I've few queries on optimization
techniques. for the current I used RandomVertexCut partition.
But what partition should be used if have:
1. No. of edges in edgeList file are to large like 50,000,000; where
multiple edges to same pair of vertices are many
2. No
Hi Guys,
is there any one experience the same thing as above?
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--Harihar
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Hi All,
I started exploring Spark from past 2 months. I'm looking for some concrete
features from both Spark and GraphX so that I'll take some decisions what to
use, based upon who get highest performance.
According to documentation GraphX runs 10x faster than normal Spark. So I
run Page Rank
