spark BroadcastTest 源码
spark BroadcastTest 代码
文件路径：/examples/src/main/scala/org/apache/spark/examples/BroadcastTest.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 org.apache.spark.sql.SparkSession
/**
* Usage: BroadcastTest [partitions] [numElem] [blockSize]
*/
object BroadcastTest {
def main(args: Array[String]): Unit = {
val blockSize = if (args.length > 2) args(2) else "4096"
val spark = SparkSession
.builder()
.appName("Broadcast Test")
.config("spark.broadcast.blockSize", blockSize)
.getOrCreate()
val sc = spark.sparkContext
val slices = if (args.length > 0) args(0).toInt else 2
val num = if (args.length > 1) args(1).toInt else 1000000
val arr1 = (0 until num).toArray
for (i <- 0 until 3) {
println(s"Iteration $i")
println("===========")
val startTime = System.nanoTime
val barr1 = sc.broadcast(arr1)
val observedSizes = sc.parallelize(1 to 10, slices).map(_ => barr1.value.length)
// Collect the small RDD so we can print the observed sizes locally.
observedSizes.collect().foreach(i => println(i))
println("Iteration %d took %.0f milliseconds".format(i, (System.nanoTime - startTime) / 1E6))
}
spark.stop()
}
}
// scalastyle:on println
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