A simple program used to test Partitioner in Apache Spark 1.4.1
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package org.apache.spark.test | |
import org.apache.spark.{HashPartitioner, RangePartitioner, SparkContext, SparkConf} | |
import org.apache.spark.SparkContext._ | |
import scala.collection.mutable.{ArrayBuffer, ListBuffer} | |
/** | |
* Partitioner Test | |
*/ | |
object PartitionerTest { | |
def main(args: Array[String]) { | |
val conf = new SparkConf().setAppName("Simple Application").setMaster("local") | |
val sc = new SparkContext(conf) | |
/* Original RDD Partitions */ | |
val rdd = sc.parallelize(Array(1, 3, 6, 5, 4, 2), 2) | |
println(rdd.mapPartitionsWithIndex((index, iter) => { | |
var list = List[(Int, Int)]() | |
while (iter.hasNext) { | |
list = list ::: List((index, iter.next)) | |
} | |
list.iterator | |
}).collect.mkString(", ")) | |
val rddWithKey = rdd.keyBy(x => x) | |
/* T: HashPartitioner */ | |
println(rddWithKey.groupByKey(new HashPartitioner(2)).mapPartitionsWithIndex((index, iter) => { | |
var list = List[(Int, Int)]() | |
while (iter.hasNext) { | |
val subIter = iter.next._2.iterator | |
while (subIter.hasNext) { | |
val cur = subIter.next | |
list = list ::: List((index, cur)) | |
} | |
} | |
list.iterator | |
}).collect.mkString(", ")) | |
/* T: RangePartitioner */ | |
println(rddWithKey.groupByKey(new RangePartitioner(2, rddWithKey)).mapPartitionsWithIndex((index, iter) => { | |
var list = List[(Int, Int)]() | |
while (iter.hasNext) { | |
val subIter = iter.next._2.iterator | |
while (subIter.hasNext) { | |
val cur = subIter.next | |
list = list ::: List((index, cur)) | |
} | |
} | |
list.iterator | |
}).collect.mkString(", ")) | |
}/* | |
Output: | |
(0,1), (0,3), (0,6), (1,5), (1,4), (1,2) | |
(0,4), (0,6), (0,2), (1,1), (1,3), (1,5) | |
(0,1), (0,3), (0,2), (1,4), (1,6), (1,5) | |
*/ | |
} |
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