spark GroupByTest 源码
spark GroupByTest 代码
文件路径：/examples/src/main/scala/org/apache/spark/examples/GroupByTest.scala
/*
* 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.
*/
// scalastyle:off println
package org.apache.spark.examples
import java.util.Random
import org.apache.spark.sql.SparkSession
/**
* Usage: GroupByTest [numMappers] [numKVPairs] [KeySize] [numReducers]
*/
object GroupByTest {
def main(args: Array[String]): Unit = {
val spark = SparkSession
.builder
.appName("GroupBy Test")
.getOrCreate()
val numMappers = if (args.length > 0) args(0).toInt else 2
val numKVPairs = if (args.length > 1) args(1).toInt else 1000
val valSize = if (args.length > 2) args(2).toInt else 1000
val numReducers = if (args.length > 3) args(3).toInt else numMappers
val pairs1 = spark.sparkContext.parallelize(0 until numMappers, numMappers).flatMap { p =>
val ranGen = new Random
val arr1 = new Array[(Int, Array[Byte])](numKVPairs)
for (i <- 0 until numKVPairs) {
val byteArr = new Array[Byte](valSize)
ranGen.nextBytes(byteArr)
arr1(i) = (ranGen.nextInt(Int.MaxValue), byteArr)
}
arr1
}.cache()
// Enforce that everything has been calculated and in cache
pairs1.count()
println(pairs1.groupByKey(numReducers).count())
spark.stop()
}
}
// scalastyle:on println
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