Github user nongli commented on a diff in the pull request:

    https://github.com/apache/spark/pull/10593#discussion_r49035976
  
    --- Diff: core/src/test/scala/org/apache/spark/Benchmark.scala ---
    @@ -0,0 +1,102 @@
    +/*
    + * 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
    +
    +import scala.collection.mutable
    +
    +import org.apache.commons.lang3.SystemUtils
    +import org.apache.spark.util.Utils
    +
    +/**
    + * Utility class to benchmark components. An example of how to use this is:
    + *  val benchmark = new Benchmark("My Benchmark", valuesPerIteration)
    + *   benchmark.addCase("V1", <function>")
    + *   benchmark.addCase("V2", <function>")
    + *   benchmark.run
    + * This will output the average time to run each function and the rate of 
each function.
    + *
    + * The benchmark function takes one argument that is the iteration that's 
being run
    + */
    +class Benchmark(name: String, valuesPerIteration: Long, iters: Int = 5) {
    +  val benchmarks = mutable.ArrayBuffer.empty[Benchmark.Case]
    +
    +  def addCase(name: String, f: Int => Unit): Unit = {
    +    benchmarks += Benchmark.Case(name, f)
    +  }
    +
    +  /**
    +   * Runs the benchmark and outputs the results to stdout. This should be 
copied and added as
    +   * a comment with the benchmark. Although the results vary from machine 
to machine, it should
    +   * provide some baseline.
    +   */
    +  def run(): Unit = {
    +    require(benchmarks.nonEmpty)
    +    val results = benchmarks.map { c =>
    +      Benchmark.measure(valuesPerIteration, c.fn, iters)
    +    }
    +    val firstRate = results.head.avgRate
    +    // scalastyle:off
    +    // The results are going to be processor specific so it is useful to 
include that.
    +    println(Benchmark.getProcessorName())
    +    printf("%-30s %16s %16s %14s\n", name + ":", "Avg Time(ms)", "Avg 
Rate(M/s)", "Relative Rate")
    +    
println("-------------------------------------------------------------------------------")
    +    results.zip(benchmarks).foreach { r =>
    +      printf("%-30s %16s %16s %14s\n", r._2.name, r._1.avgMs.toString, 
"%10.2f" format r._1.avgRate,
    +        "%6.2f X" format (r._1.avgRate / firstRate))
    +    }
    +    println
    +    // scalastyle:on
    +  }
    +}
    +
    +object Benchmark {
    +  case class Case(name: String, fn: Int => Unit)
    +  case class Result(avgMs: Double, avgRate: Double)
    +
    +  /**
    +   * This should return a user helpful processor information. Getting at 
this depends on the OS.
    +   * This should return something like "Intel(R) Core(TM) i7-4870HQ CPU @ 
2.50GHz"
    +   */
    +  def getProcessorName(): String = {
    +    if (SystemUtils.IS_OS_MAC_OSX) {
    +      Utils.executeAndGetOutput(Seq("/usr/sbin/sysctl", "-n", 
"machdep.cpu.brand_string"))
    +    } else if (SystemUtils.IS_OS_LINUX) {
    +      Utils.executeAndGetOutput(Seq("/usr/bin/grep", "-m", "1", "\"model 
name\"", "/proc/cpuinfo"))
    +    } else {
    +      System.getenv("PROCESSOR_IDENTIFIER")
    +    }
    +  }
    +
    +  /**
    +   * Runs a single function `f` for iters, returning the average time the 
function took and
    +   * the rate of the function.
    +   */
    +  def measure(num: Long, f: Int => Unit, iters: Int): Result = {
    +    var totalTime = 0L
    +    for (i <- 0 until iters + 1) {
    +      val start = System.currentTimeMillis()
    --- End diff --
    
    JMH looks great and it would be good to add. The utility I added is super 
simple and gets us going and I don't think it's worth blocking other work 
items. It would be great if someone added JMH to spark and deleted this 
benchmarking harness.


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