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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.util
import scala.collection.mutable
import scala.collection.mutable.ArrayBuffer
import scala.util.Try
import org.apache.commons.lang3.SystemUtils
/**
* 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.
*
* If outputPerIteration is true, the timing for each run will be printed to stdout.
*/
private[spark] class Benchmark(
name: String,
valuesPerIteration: Long,
iters: Int = 5,
outputPerIteration: Boolean = false) {
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)
// scalastyle:off
println("Running benchmark: " + name)
val results = benchmarks.map { c =>
println(" Running case: " + c.name)
Benchmark.measure(valuesPerIteration, iters, outputPerIteration)(c.fn)
}
println
val firstBest = results.head.bestMs
// The results are going to be processor specific so it is useful to include that.
println(Benchmark.getJVMOSInfo())
println(Benchmark.getProcessorName())
printf("%-35s %16s %12s %13s %10s\n", name + ":", "Best/Avg Time(ms)", "Rate(M/s)",
"Per Row(ns)", "Relative")
println("-----------------------------------------------------------------------------------" +
"--------")
results.zip(benchmarks).foreach { case (result, benchmark) =>
printf("%-35s %16s %12s %13s %10s\n",
benchmark.name,
"%5.0f / %4.0f" format (result.bestMs, result.avgMs),
"%10.1f" format result.bestRate,
"%6.1f" format (1000 / result.bestRate),
"%3.1fX" format (firstBest / result.bestMs))
}
println
// scalastyle:on
}
}
private[spark] object Benchmark {
case class Case(name: String, fn: Int => Unit)
case class Result(avgMs: Double, bestRate: Double, bestMs: 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 = {
val cpu = if (SystemUtils.IS_OS_MAC_OSX) {
Utils.executeAndGetOutput(Seq("/usr/sbin/sysctl", "-n", "machdep.cpu.brand_string"))
} else if (SystemUtils.IS_OS_LINUX) {
Try {
val grepPath = Utils.executeAndGetOutput(Seq("which", "grep"))
Utils.executeAndGetOutput(Seq(grepPath, "-m", "1", "model name", "/proc/cpuinfo"))
.replaceFirst("model name[\\s*]:[\\s*]", "")
}.getOrElse("Unknown processor")
} else {
System.getenv("PROCESSOR_IDENTIFIER")
}
cpu
}
/**
* This should return a user helpful JVM & OS information.
* This should return something like
* "OpenJDK 64-Bit Server VM 1.8.0_65-b17 on Linux 4.1.13-100.fc21.x86_64"
*/
def getJVMOSInfo(): String = {
val vmName = System.getProperty("java.vm.name")
val runtimeVersion = System.getProperty("java.runtime.version")
val osName = System.getProperty("os.name")
val osVersion = System.getProperty("os.version")
s"${vmName} ${runtimeVersion} on ${osName} ${osVersion}"
}
/**
* Runs a single function `f` for iters, returning the average time the function took and
* the rate of the function.
*/
def measure(num: Long, iters: Int, outputPerIteration: Boolean)(f: Int => Unit): Result = {
val runTimes = ArrayBuffer[Long]()
for (i <- 0 until iters + 1) {
val start = System.nanoTime()
f(i)
val end = System.nanoTime()
val runTime = end - start
if (i > 0) {
runTimes += runTime
}
if (outputPerIteration) {
// scalastyle:off
println(s"Iteration $i took ${runTime / 1000} microseconds")
// scalastyle:on
}
}
val best = runTimes.min
val avg = runTimes.sum / iters
Result(avg / 1000000.0, num / (best / 1000.0), best / 1000000.0)
}
}
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