-
Notifications
You must be signed in to change notification settings - Fork 28k
/
Benchmark.scala
225 lines (204 loc) · 8.11 KB
/
Benchmark.scala
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
/*
* 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 java.io.{OutputStream, PrintStream}
import scala.collection.mutable
import scala.collection.mutable.ArrayBuffer
import scala.concurrent.duration._
import scala.util.Try
import org.apache.commons.io.output.TeeOutputStream
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.
*
* @param name name of this benchmark.
* @param valuesPerIteration number of values used in the test case, used to compute rows/s.
* @param minNumIters the min number of iterations that will be run per case, not counting warm-up.
* @param warmupTime amount of time to spend running dummy case iterations for JIT warm-up.
* @param minTime further iterations will be run for each case until this time is used up.
* @param outputPerIteration if true, the timing for each run will be printed to stdout.
* @param output optional output stream to write benchmark results to
*/
private[spark] class Benchmark(
name: String,
valuesPerIteration: Long,
minNumIters: Int = 2,
warmupTime: FiniteDuration = 2.seconds,
minTime: FiniteDuration = 2.seconds,
outputPerIteration: Boolean = false,
output: Option[OutputStream] = None) {
import Benchmark._
val benchmarks = mutable.ArrayBuffer.empty[Benchmark.Case]
val out = if (output.isDefined) {
new PrintStream(new TeeOutputStream(System.out, output.get))
} else {
System.out
}
/**
* Adds a case to run when run() is called. The given function will be run for several
* iterations to collect timing statistics.
*
* @param name of the benchmark case
* @param numIters if non-zero, forces exactly this many iterations to be run
*/
def addCase(name: String, numIters: Int = 0)(f: Int => Unit): Unit = {
addTimerCase(name, numIters) { timer =>
timer.startTiming()
f(timer.iteration)
timer.stopTiming()
}
}
/**
* Adds a case with manual timing control. When the function is run, timing does not start
* until timer.startTiming() is called within the given function. The corresponding
* timer.stopTiming() method must be called before the function returns.
*
* @param name of the benchmark case
* @param numIters if non-zero, forces exactly this many iterations to be run
*/
def addTimerCase(name: String, numIters: Int = 0)(f: Benchmark.Timer => Unit): Unit = {
benchmarks += Benchmark.Case(name, f, numIters)
}
/**
* 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)
measure(valuesPerIteration, c.numIters)(c.fn)
}
println
val firstBest = results.head.bestMs
// The results are going to be processor specific so it is useful to include that.
out.println(Benchmark.getJVMOSInfo())
out.println(Benchmark.getProcessorName())
out.printf("%-40s %16s %12s %13s %10s\n", name + ":", "Best/Avg Time(ms)", "Rate(M/s)",
"Per Row(ns)", "Relative")
out.println("-" * 96)
results.zip(benchmarks).foreach { case (result, benchmark) =>
out.printf("%-40s %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))
}
out.println
// scalastyle:on
}
/**
* Runs a single function `f` for iters, returning the average time the function took and
* the rate of the function.
*/
def measure(num: Long, overrideNumIters: Int)(f: Timer => Unit): Result = {
System.gc() // ensures garbage from previous cases don't impact this one
val warmupDeadline = warmupTime.fromNow
while (!warmupDeadline.isOverdue) {
f(new Benchmark.Timer(-1))
}
val minIters = if (overrideNumIters != 0) overrideNumIters else minNumIters
val minDuration = if (overrideNumIters != 0) 0 else minTime.toNanos
val runTimes = ArrayBuffer[Long]()
var i = 0
while (i < minIters || runTimes.sum < minDuration) {
val timer = new Benchmark.Timer(i)
f(timer)
val runTime = timer.totalTime()
runTimes += runTime
if (outputPerIteration) {
// scalastyle:off
println(s"Iteration $i took ${runTime / 1000} microseconds")
// scalastyle:on
}
i += 1
}
// scalastyle:off
println(s" Stopped after $i iterations, ${runTimes.sum / 1000000} ms")
// scalastyle:on
val best = runTimes.min
val avg = runTimes.sum / runTimes.size
Result(avg / 1000000.0, num / (best / 1000.0), best / 1000000.0)
}
}
private[spark] object Benchmark {
/**
* Object available to benchmark code to control timing e.g. to exclude set-up time.
*
* @param iteration specifies this is the nth iteration of running the benchmark case
*/
class Timer(val iteration: Int) {
private var accumulatedTime: Long = 0L
private var timeStart: Long = 0L
def startTiming(): Unit = {
assert(timeStart == 0L, "Already started timing.")
timeStart = System.nanoTime
}
def stopTiming(): Unit = {
assert(timeStart != 0L, "Have not started timing.")
accumulatedTime += System.nanoTime - timeStart
timeStart = 0L
}
def totalTime(): Long = {
assert(timeStart == 0L, "Have not stopped timing.")
accumulatedTime
}
}
case class Case(name: String, fn: Timer => Unit, numIters: Int)
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")).stripLineEnd
Utils.executeAndGetOutput(Seq(grepPath, "-m", "1", "model name", "/proc/cpuinfo"))
.stripLineEnd.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}"
}
}