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[SPARK-5790][GraphX]: VertexRDD's won't zip properly for diff capability (added tests) #5023

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[SPARK-5790][GraphX]: VertexRDD's won't zip properly for diff capability (added tests) #5023

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38 changes: 37 additions & 1 deletion graphx/src/test/scala/org/apache/spark/graphx/VertexRDDSuite.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,7 @@ package org.apache.spark.graphx

import org.scalatest.FunSuite

import org.apache.spark.SparkContext
import org.apache.spark.{HashPartitioner, SparkContext}
import org.apache.spark.storage.StorageLevel

class VertexRDDSuite extends FunSuite with LocalSparkContext {
Expand Down Expand Up @@ -58,6 +58,16 @@ class VertexRDDSuite extends FunSuite with LocalSparkContext {
}
}

test("diff vertices with the non-equal number of partitions") {
withSpark { sc =>
val vertexA = VertexRDD(sc.parallelize(0 until 24, 3).map(i => (i.toLong, 0)))
val vertexB = VertexRDD(sc.parallelize(8 until 16, 2).map(i => (i.toLong, 1)))
assert(vertexA.partitions.size != vertexB.partitions.size)
val vertexC = vertexA.diff(vertexB)
assert(vertexC.map(_._1).collect.toSet === (8 until 16).toSet)
}
}

test("leftJoin") {
withSpark { sc =>
val n = 100
Expand All @@ -73,6 +83,19 @@ class VertexRDDSuite extends FunSuite with LocalSparkContext {
}
}

test("leftJoin vertices with the non-equal number of partitions") {
withSpark { sc =>
val vertexA = VertexRDD(sc.parallelize(0 until 100, 2).map(i => (i.toLong, 1)))
val vertexB = VertexRDD(
vertexA.filter(v => v._1 % 2 == 0).partitionBy(new HashPartitioner(3)))
assert(vertexA.partitions.size != vertexB.partitions.size)
val vertexC = vertexA.leftJoin(vertexB) { (vid, old, newOpt) =>
old - newOpt.getOrElse(0)
}
assert(vertexC.filter(v => v._2 != 0).map(_._1).collect.toSet == (1 to 99 by 2).toSet)
}
}

test("innerJoin") {
withSpark { sc =>
val n = 100
Expand All @@ -87,6 +110,19 @@ class VertexRDDSuite extends FunSuite with LocalSparkContext {
(0 to n by 2).map(x => (x.toLong, 0)).toSet) }
}

test("innerJoin vertices with the non-equal number of partitions") {
withSpark { sc =>
val vertexA = VertexRDD(sc.parallelize(0 until 100, 2).map(i => (i.toLong, 1)))
val vertexB = VertexRDD(
vertexA.filter(v => v._1 % 2 == 0).partitionBy(new HashPartitioner(3)))
assert(vertexA.partitions.size != vertexB.partitions.size)
val vertexC = vertexA.innerJoin(vertexB) { (vid, old, newVal) =>
old - newVal
}
assert(vertexC.filter(v => v._2 == 0).map(_._1).collect.toSet == (0 to 98 by 2).toSet)
}
}

test("aggregateUsingIndex") {
withSpark { sc =>
val n = 100
Expand Down