Shulou(Shulou.com)05/31 Report--

This article mainly introduces "what is the use of Spark GraphX". In daily operation, I believe many people have doubts about the use of Spark GraphX. The editor consulted all kinds of materials and sorted out simple and easy-to-use methods of operation. I hope it will be helpful to answer the doubts about "what is the use of Spark GraphX?" Next, please follow the editor to study!

Q1: what is the purpose of Spark GraphX?

Graph computing is widely used in social networks, e-commerce, maps and other fields

Spark GraphX can easily complete the discovery of hub nodes based on degree distribution, community discovery based on maximum connected graph, relationship measurement based on triangle counting, user attribute propagation based on random walk, etc.

Technically speaking, Spark GraphX is very suitable for Wechat, Weibo, social networks, e-commerce, map navigation and other products, so we can look forward to the large-scale application of Spark GraphX in Facebook, Twitter, Linkin, Tencent, Baidu and so on.

What are the success stories used by Q2:Spark GraphX?

In China, Taobao is mainly using Spark GraphX on a large scale.

In Taobao, Spark GraphX is not only widely used in community discovery, user influence, energy transmission, tag dissemination, etc., but also more and more applied to tag reasoning, crowd division, age prediction, commodity trading timing jump and so on in the field of recommendation. According to Taobao's Mingfeng introduction, with the help of Spark GraphX, after more than half a year of attempt Some graph models that Taobao wanted to do but could not be implemented because of insufficient computing power are no longer a problem.

What popular algorithms are supported by Q3:Spark GraphX

The most classic is only the three most commonly used algorithms, such as PageRank, TriangleCount and ShortestPaths.

Through the support of Pregel, it also provides more algorithms such as SVDPlusPlus, ConnectedComponents, StronglyConnectedComponents and so on.

With the launch of the new version, more algorithm implementation libraries are launched.

At this point, the study on "what is the use of Spark GraphX" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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