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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.graphx.lib
import org.apache.spark.SparkFunSuite
import org.apache.spark.graphx._
import org.apache.spark.graphx.util.GraphGenerators
import org.apache.spark.rdd._
class ConnectedComponentsSuite extends SparkFunSuite with LocalSparkContext {
test("Grid Connected Components") {
withSpark { sc =>
val gridGraph = GraphGenerators.gridGraph(sc, 10, 10)
val ccGraph = gridGraph.connectedComponents()
val maxCCid = ccGraph.vertices.map { case (vid, ccId) => ccId }.sum()
assert(maxCCid === 0)
}
} // end of Grid connected components
test("Reverse Grid Connected Components") {
withSpark { sc =>
val gridGraph = GraphGenerators.gridGraph(sc, 10, 10).reverse
val ccGraph = gridGraph.connectedComponents()
val maxCCid = ccGraph.vertices.map { case (vid, ccId) => ccId }.sum()
assert(maxCCid === 0)
}
} // end of Grid connected components
test("Chain Connected Components") {
withSpark { sc =>
val chain1 = (0 until 9).map(x => (x, x + 1))
val chain2 = (10 until 20).map(x => (x, x + 1))
val rawEdges = sc.parallelize(chain1 ++ chain2, 3).map { case (s, d) => (s.toLong, d.toLong) }
val twoChains = Graph.fromEdgeTuples(rawEdges, 1.0)
val ccGraph = twoChains.connectedComponents()
val vertices = ccGraph.vertices.collect()
for ( (id, cc) <- vertices ) {
if (id < 10) {
assert(cc === 0)
} else {
assert(cc === 10)
}
}
val ccMap = vertices.toMap
for (id <- 0 until 20) {
if (id < 10) {
assert(ccMap(id) === 0)
} else {
assert(ccMap(id) === 10)
}
}
}
} // end of chain connected components
test("Reverse Chain Connected Components") {
withSpark { sc =>
val chain1 = (0 until 9).map(x => (x, x + 1))
val chain2 = (10 until 20).map(x => (x, x + 1))
val rawEdges = sc.parallelize(chain1 ++ chain2, 3).map { case (s, d) => (s.toLong, d.toLong) }
val twoChains = Graph.fromEdgeTuples(rawEdges, true).reverse
val ccGraph = twoChains.connectedComponents()
val vertices = ccGraph.vertices.collect()
for ( (id, cc) <- vertices ) {
if (id < 10) {
assert(cc === 0)
} else {
assert(cc === 10)
}
}
val ccMap = vertices.toMap
for ( id <- 0 until 20 ) {
if (id < 10) {
assert(ccMap(id) === 0)
} else {
assert(ccMap(id) === 10)
}
}
}
} // end of reverse chain connected components
test("Connected Components on a Toy Connected Graph") {
withSpark { sc =>
// Create an RDD for the vertices
val users: RDD[(VertexId, (String, String))] =
sc.parallelize(Array((3L, ("rxin", "student")), (7L, ("jgonzal", "postdoc")),
(5L, ("franklin", "prof")), (2L, ("istoica", "prof")),
(4L, ("peter", "student"))))
// Create an RDD for edges
val relationships: RDD[Edge[String]] =
sc.parallelize(Array(Edge(3L, 7L, "collab"), Edge(5L, 3L, "advisor"),
Edge(2L, 5L, "colleague"), Edge(5L, 7L, "pi"),
Edge(4L, 0L, "student"), Edge(5L, 0L, "colleague")))
// Edges are:
// 2 ---> 5 ---> 3
// | \
// V \|
// 4 ---> 0 7
//
// Define a default user in case there are relationship with missing user
val defaultUser = ("John Doe", "Missing")
// Build the initial Graph
val graph = Graph(users, relationships, defaultUser)
val ccGraph = graph.connectedComponents()
val vertices = ccGraph.vertices.collect()
for ( (id, cc) <- vertices ) {
assert(cc === 0)
}
}
} // end of toy connected components
}
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