SPARK-1329: Create pid2vid with correct number of partitions

Each vertex partition is co-located with a pid2vid array created in RoutingTable.scala. This array maps edge partition IDs to the list of vertices in the current vertex partition that are mentioned by edges in that partition. Therefore the pid2vid array should have one entry per edge partition.

GraphX currently creates one entry per *vertex* partition, which is a bug that leads to an ArrayIndexOutOfBoundsException when there are more edge partitions than vertex partitions. This commit fixes the bug and adds a test for this case.

Resolves SPARK-1329. Thanks to Daniel Darabos for reporting this bug.

Author: Ankur Dave <[email protected]>

Closes #368 from ankurdave/fix-pid2vid-size and squashes the following commits:

5a5c52a [Ankur Dave] SPARK-1329: Create pid2vid with correct number of partitions

(cherry picked from commit 17d3234)
Signed-off-by: Reynold Xin <[email protected]>

Author: ankurdave

graphx/src/main/scala/org/apache/spark/graphx/impl/RoutingTable.scala

@@ -69,9 +69,9 @@ class RoutingTable(edges: EdgeRDD[_], vertices: VertexRDD[_]) {
       vSet.iterator.map { vid => (vid, pid) }
     }
 
-    val numPartitions = vertices.partitions.size
+    val numEdgePartitions = edges.partitions.size
     vid2pid.partitionBy(vertices.partitioner.get).mapPartitions { iter =>
-      val pid2vid = Array.fill(numPartitions)(new PrimitiveVector[VertexId])
+      val pid2vid = Array.fill(numEdgePartitions)(new PrimitiveVector[VertexId])
       for ((vid, pid) <- iter) {
         pid2vid(pid) += vid
       }

graphx/src/test/scala/org/apache/spark/graphx/GraphSuite.scala

@@ -297,4 +297,16 @@ class GraphSuite extends FunSuite with LocalSparkContext {
     }
   }
 
+  test("more edge partitions than vertex partitions") {
+    withSpark { sc =>
+      val verts = sc.parallelize(List((1: VertexId, "a"), (2: VertexId, "b")), 1)
+      val edges = sc.parallelize(List(Edge(1, 2, 0), Edge(2, 1, 0)), 2)
+      val graph = Graph(verts, edges)
+      val triplets = graph.triplets.map(et => (et.srcId, et.dstId, et.srcAttr, et.dstAttr))
+        .collect.toSet
+      assert(triplets ===
+        Set((1: VertexId, 2: VertexId, "a", "b"), (2: VertexId, 1: VertexId, "b", "a")))
+    }
+  }
+
 }