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RecursiveTask.java
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/*
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* This code is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License version 2 only, as
* published by the Free Software Foundation. Oracle designates this
* particular file as subject to the "Classpath" exception as provided
* by Oracle in the LICENSE file that accompanied this code.
*
* This code is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
* You should have received a copy of the GNU General Public License version
* 2 along with this work; if not, write to the Free Software Foundation,
* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
*
* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
* or visit www.oracle.com if you need additional information or have any
* questions.
*/
/*
* This file is available under and governed by the GNU General Public
* License version 2 only, as published by the Free Software Foundation.
* However, the following notice accompanied the original version of this
* file:
*
* Written by Doug Lea with assistance from members of JCP JSR-166
* Expert Group and released to the public domain, as explained at
* http://creativecommons.org/publicdomain/zero/1.0/
*/
package java.util.concurrent;
/**
* A recursive result-bearing {@link ForkJoinTask}.
*
* <p>For a classic example, here is a task computing Fibonacci numbers:
*
* <pre> {@code
* class Fibonacci extends RecursiveTask<Integer> {
* final int n;
* Fibonacci(int n) { this.n = n; }
* protected Integer compute() {
* if (n <= 1)
* return n;
* Fibonacci f1 = new Fibonacci(n - 1);
* f1.fork();
* Fibonacci f2 = new Fibonacci(n - 2);
* return f2.compute() + f1.join();
* }
* }}</pre>
*
* However, besides being a dumb way to compute Fibonacci functions
* (there is a simple fast linear algorithm that you'd use in
* practice), this is likely to perform poorly because the smallest
* subtasks are too small to be worthwhile splitting up. Instead, as
* is the case for nearly all fork/join applications, you'd pick some
* minimum granularity size (for example 10 here) for which you always
* sequentially solve rather than subdividing.
*
* @author Doug Lea
* @since 1.7
*/
// 带有返回值的任务
public abstract class RecursiveTask<V> extends ForkJoinTask<V> {
private static final long serialVersionUID = 5232453952276485270L;
/**
* The result of the computation.
*/
V result; // 存储该任务的计算结果
/*▼ 执行任务 ████████████████████████████████████████████████████████████████████████████████┓ */
/**
* The main computation performed by this task.
*
* @return the result of the computation
*/
// 由子类完成执行任务的细节
protected abstract V compute();
/**
* Implements execution conventions for RecursiveTask.
*/
// 执行任务,并存储执行结果
protected final boolean exec() {
// 存储该任务执行后产生的值
result = compute();
return true;
}
/*▲ 执行任务 ████████████████████████████████████████████████████████████████████████████████┛ */
/*▼ 任务结果 ████████████████████████████████████████████████████████████████████████████████┓ */
// 返回任务的执行结果
public final V getRawResult() {
return result;
}
// 设置任务的执行结果
protected final void setRawResult(V value) {
result = value;
}
/*▲ 任务结果 ████████████████████████████████████████████████████████████████████████████████┛ */
}