Spark GraphX 自带的图算法

图片来源：https://databricks.com/blog/2016/03/03/introducing-graphframes.html

输入

// 顶点
val users = sc.parallelize(Array(
  (1L, ("Alice", 34)),
  (2L, ("Bob", 36)),
  (3L, ("Charlie", 30)),
  (4L, ("David", 29)),
  (5L, ("Esther", 32)),
  (6L, ("Fanny", 36)),
  (7L, ("Gabby", 60))
))

// 边
val relationships = sc.parallelize(Array(
  Edge(1L, 2L, "friend"),
  Edge(2L, 3L, "follow"),
  Edge(3L, 2L, "follow"),
  Edge(6L, 3L, "follow"),
  Edge(5L, 6L, "follow"),
  Edge(5L, 4L, "friend"),
  Edge(4L, 1L, "friend"),
  Edge(1L, 5L, "friend")
))

连通图–ConnectedComponents

算法参数

* @param graph the graph for which to compute the connected components
* @param maxIterations the maximum number of iterations to run for

* @return a graph with vertex attributes containing the smallest vertex in each connected component

输出

val graph = Graph(users, relationships)
ConnectedComponents.run(graph, Int.MaxValue).vertices.foreach(println)