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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.rdd
import org.apache.spark.{SharedSparkContext, SparkFunSuite}
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 SparkFunSuite with SharedSparkContext {
test("print sizes") {
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(data2, data3)(ZippedPartitionsSuite.procZippedData)
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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