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Streams12.java
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88 lines (74 loc) · 2.74 KB
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package com.winterbe.java8.samples.stream;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.UUID;
import java.util.concurrent.ForkJoinPool;
import java.util.concurrent.TimeUnit;
/**
* @author Benjamin Winterberg
*/
public class Streams12 {
public static void main(String[] args) {
List<String> strings = Arrays.asList("a1", "a2", "b1", "c2", "c1");
// test1();
// test2(strings);
test3(strings);
// test4();
}
private static void test4() {
List<String> values = new ArrayList<>(100);
for (int i = 0; i < 100; i++) {
UUID uuid = UUID.randomUUID();
values.add(uuid.toString());
}
// sequential
long t0 = System.nanoTime();
long count = values
.parallelStream()
.sorted((s1, s2) -> {
System.out.format("sort: %s <> %s [%s]\n", s1, s2, Thread.currentThread().getName());
return s1.compareTo(s2);
})
.count();
System.out.println(count);
long t1 = System.nanoTime();
long millis = TimeUnit.NANOSECONDS.toMillis(t1 - t0);
System.out.println(String.format("parallel sort took: %d ms", millis));
}
private static void test3(List<String> strings) {
strings
.parallelStream()
.filter(s -> {
System.out.format("filter: %s [%s]\n", s, Thread.currentThread().getName());
return true;
})
.map(s -> {
System.out.format("map: %s [%s]\n", s, Thread.currentThread().getName());
return s.toUpperCase();
})
.sorted((s1, s2) -> {
System.out.format("sort: %s <> %s [%s]\n", s1, s2, Thread.currentThread().getName());
return s1.compareTo(s2);
})
.forEach(s -> System.out.format("forEach: %s [%s]\n", s, Thread.currentThread().getName()));
}
private static void test2(List<String> strings) {
strings
.parallelStream()
.filter(s -> {
System.out.format("filter: %s [%s]\n", s, Thread.currentThread().getName());
return true;
})
.map(s -> {
System.out.format("map: %s [%s]\n", s, Thread.currentThread().getName());
return s.toUpperCase();
})
.forEach(s -> System.out.format("forEach: %s [%s]\n", s, Thread.currentThread().getName()));
}
private static void test1() {
// -Djava.util.concurrent.ForkJoinPool.common.parallelism=5
ForkJoinPool commonPool = ForkJoinPool.commonPool();
System.out.println(commonPool.getParallelism());
}
}