validating/BadMicroBenchmark2.java · ThisYoung/OnJava8-Examples

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OnJava8-Examples

validating

BadMicroBenchmark2.java

BadMicroBenchmark2.java 1.08 KB

// validating/BadMicroBenchmark2.java
// (c)2017 MindView LLC: see Copyright.txt
// We make no guarantees that this code is fit for any purpose.
// Visit http://OnJava8.com for more book information.
// Relying on a common resource
import java.util.*;
import onjava.Timer;

public class BadMicroBenchmark2 {
 // SIZE reduced to make it run faster:
 static final int SIZE = 5_000_000;
 public static void main(String[] args) {
 long[] la = new long[SIZE];
 Random r = new Random();
 System.out.println("parallelSetAll: " +
 Timer.duration(() ->
 Arrays.parallelSetAll(la, n -> r.nextLong())));
 System.out.println("setAll: " +
 Timer.duration(() ->
 Arrays.setAll(la, n -> r.nextLong())));
 SplittableRandom sr = new SplittableRandom();
 System.out.println("parallelSetAll: " +
 Timer.duration(() ->
 Arrays.parallelSetAll(la, n -> sr.nextLong())));
 System.out.println("setAll: " +
 Timer.duration(() ->
 Arrays.setAll(la, n -> sr.nextLong())));
 }
}
/* Output:
parallelSetAll: 1147
setAll: 174
parallelSetAll: 86
setAll: 39
*/

一键复制编辑原始数据按行查看历史

Bruce Eckel 提交于 2017年05月11日 01:45 +08:00 . Narrowed listing widths, fixed output

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

// validating/BadMicroBenchmark2.java
// (c)2017 MindView LLC: see Copyright.txt
// We make no guarantees that this code is fit for any purpose.
// Visit http://OnJava8.com for more book information.
// Relying on a common resource
import java.util.*;
import onjava.Timer;

public class BadMicroBenchmark2 {
 // SIZE reduced to make it run faster:
 static final int SIZE = 5_000_000;
 public static void main(String[] args) {
 long[] la = new long[SIZE];
 Random r = new Random();
 System.out.println("parallelSetAll: " +
 Timer.duration(() ->
 Arrays.parallelSetAll(la, n -> r.nextLong())));
 System.out.println("setAll: " +
 Timer.duration(() ->
 Arrays.setAll(la, n -> r.nextLong())));
 SplittableRandom sr = new SplittableRandom();
 System.out.println("parallelSetAll: " +
 Timer.duration(() ->
 Arrays.parallelSetAll(la, n -> sr.nextLong())));
 System.out.println("setAll: " +
 Timer.duration(() ->
 Arrays.setAll(la, n -> sr.nextLong())));
 }
}
/* Output:
parallelSetAll: 1147
setAll: 174
parallelSetAll: 86
setAll: 39
*/