Spark GraphX例子
假定我们想从一些文本文件中构建一个图，限制这个图包含重要的关系和用户，并且在子图上运行page-rank，最后返回与top用户相关的属性。可以通过如下方式实现。
// Connect to the Spark cluster
val sc = new SparkContext("spark://master.amplab.org", "research")
// Load my user data and parse into tuples of user id and attribute list
val users = (sc.textFile("graphx/data/users.txt")
.map(line => line.split(",")).map( parts => (parts.head.toLong, parts.tail) ))
// Parse the edge data which is already in userId -> userId format
val followerGraph = GraphLoader.edgeListFile(sc, "graphx/data/followers.txt")
// Attach the user attributes
val graph = followerGraph.outerJoinVertices(users) {
case (uid, deg, Some(attrList)) => attrList
// Some users may not have attributes so we set them as empty
case (uid, deg, None) => Array.empty[String]
}
// Restrict the graph to users with usernames and names
val subgraph = graph.subgraph(vpred = (vid, attr) => attr.size == 2)
// Compute the PageRank
val pagerankGraph = subgraph.pageRank(0.001)
// Get the attributes of the top pagerank users
val userInfoWithPageRank = subgraph.outerJoinVertices(pagerankGraph.vertices) {
case (uid, attrList, Some(pr)) => (pr, attrList.toList)
case (uid, attrList, None) => (0.0, attrList.toList)
}
println(userInfoWithPageRank.vertices.top(5)(Ordering.by(_._2._1)).mkString("n"))