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package spark
import scala.collection.immutable.NumericRange
import org.scalatest.FunSuite
import org.scalatest.prop.Checkers
import org.scalacheck.Arbitrary._
import org.scalacheck.Gen
import org.scalacheck.Prop._
import SparkContext._
object ZippedPartitionsSuite {
def procZippedData(i: Iterator[Int], s: Iterator[String], d: Iterator[Double]) : Iterator[Int] = {
Iterator(i.toArray.size, s.toArray.size, d.toArray.size)
}
}
class ZippedPartitionsSuite extends FunSuite with LocalSparkContext {
test("print sizes") {
sc = new SparkContext("local", "test")
val data1 = sc.makeRDD(Array(1, 2, 3, 4), 2)
val data2 = sc.makeRDD(Array("1", "2", "3", "4", "5", "6"), 2)
val data3 = sc.makeRDD(Array(1.0, 2.0), 2)
val zippedRDD = data1.zipPartitions(ZippedPartitionsSuite.procZippedData, data2, data3)
val obtainedSizes = zippedRDD.collect()
val expectedSizes = Array(2, 3, 1, 2, 3, 1)
assert(obtainedSizes.size == 6)
assert(obtainedSizes.zip(expectedSizes).forall(x => x._1 == x._2))
}
}
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