ForkJoinPool 是 Java 7 引入的一个线程池,特别适用于分治算法(Divide and Conquer)。它通过工作窃取(Work Stealing)算法来提高并发执行的效率。ForkJoinPool 中的任务分为两类:RecursiveAction(无返回值)和 RecursiveTask(有返回值)。
import java.util.concurrent.ForkJoinPool;
import java.util.concurrent.RecursiveTask;
public class ForkJoinExample {
public static void main(String[] args) {
ForkJoinPool pool = new ForkJoinPool();
int[] array = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
SumTask task = new SumTask(array, 0, array.length);
int result = pool.invoke(task);
System.out.println("Sum: " + result);
}
static class SumTask extends RecursiveTask<Integer> {
private final int[] array;
private final int start;
private final int end;
SumTask(int[] array, int start, int end) {
this.array = array;
this.start = start;
this.end = end;
}
@Override
protected Integer compute() {
if (end - start <= 2) {
int sum = 0;
for (int i = start; i < end; i++) {
sum += array[i];
}
return sum;
} else {
int mid = (start + end) / 2;
SumTask leftTask = new SumTask(array, start, mid);
SumTask rightTask = new SumTask(array, mid, end);
leftTask.fork();
int rightResult = rightTask.compute();
int leftResult = leftTask.join();
return leftResult + rightResult;
}
}
}
}
import java.util.concurrent.ForkJoinPool;
import java.util.concurrent.RecursiveTask;
public class ForkJoinLambdaExample {
public static void main(String[] args) {
ForkJoinPool pool = new ForkJoinPool();
int[] array = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
SumTask task = new SumTask(array, 0, array.length);
int result = pool.invoke(task);
System.out.println("Sum: " + result);
}
static class SumTask extends RecursiveTask<Integer> {
private final int[] array;
private final int start;
private final int end;
SumTask(int[] array, int start, int end) {
this.array = array;
this.start = start;
this.end = end;
}
@Override
protected Integer compute() {
if (end - start <= 2) {
return java.util.Arrays.stream(array, start, end).sum();
} else {
int mid = (start + end) / 2;
SumTask leftTask = new SumTask(array, start, mid);
SumTask rightTask = new SumTask(array, mid, end);
leftTask.fork();
int rightResult = rightTask.compute();
int leftResult = leftTask.join();
return leftResult + rightResult;
}
}
}
}
原因:当任务分割得过于细碎时,线程间的任务调度和管理开销会显著增加,反而降低整体性能。
解决方法:
原因:线程池过大可能导致资源竞争和过度调度,过小则无法充分利用多核优势。
解决方法:
Runtime.getRuntime().availableProcessors()
来获取可用处理器核心数作为参考。通过以上方法,可以有效优化 ForkJoinPool 的使用,提升程序的并发执行效率。
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