Qt多线程-QtConcurrent并行运算高级API

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本文标题：Qt多线程-QtConcurrent并行运算高级API     本文地址：http://techieliang.com/2017/12/608/

文章目录

• 1. 介绍
•  1.1. API
• 2. QtConcurrent::map
• 3. QtConcurrent::filter
• 4. QtConcurrent::run
•  4.1. 其他使用方式-指定线程池
• 5. 阻塞QtConcurrent

1. 介绍

Qt除了提供基本的QThread实现多线程，并提供QThreadPool实现线程池以外，还提供了QtConcurrent模块用于并行计算。

QtConcurrent命名空间帮助文档，API介绍帮助

1.1. API

1. void blockingFilter(Sequence &sequence, FilterFunction filterFunction)
2. Sequence blockingFiltered(const Sequence &sequence, FilterFunction filterFunction)
3. Sequence blockingFiltered(ConstIterator begin, ConstIterator end, FilterFunction filterFunction)
4. T blockingFilteredReduced(const Sequence &sequence, FilterFunction filterFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce)
5. T blockingFilteredReduced(ConstIterator begin, ConstIterator end, FilterFunction filterFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce)
6. void blockingMap(Sequence &sequence, MapFunction function)
7. void blockingMap(Iterator begin, Iterator end, MapFunction function)
8. T blockingMapped(const Sequence &sequence, MapFunction function)
9. T blockingMapped(ConstIterator begin, ConstIterator end, MapFunction function)
10. T blockingMappedReduced(const Sequence &sequence, MapFunction mapFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce)
11. T blockingMappedReduced(ConstIterator begin, ConstIterator end, MapFunction mapFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce)
12. QFuture<void> filter(Sequence &sequence, FilterFunction filterFunction)
13. QFuture<T> filtered(const Sequence &sequence, FilterFunction filterFunction)
14. QFuture<T> filtered(ConstIterator begin, ConstIterator end, FilterFunction filterFunction)
15. QFuture<T> filteredReduced(const Sequence &sequence, FilterFunction filterFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce)
16. QFuture<T> filteredReduced(ConstIterator begin, ConstIterator end, FilterFunction filterFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce)
17. QFuture<void> map(Sequence &sequence, MapFunction function)
18. QFuture<void> map(Iterator begin, Iterator end, MapFunction function)
19. QFuture<T> mapped(const Sequence &sequence, MapFunction function)
20. QFuture<T> mapped(ConstIterator begin, ConstIterator end, MapFunction function)
21. QFuture<T> mappedReduced(const Sequence &sequence, MapFunction mapFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce)
22. QFuture<T> mappedReduced(ConstIterator begin, ConstIterator end, MapFunction mapFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce)
23. QFuture<T> run(Function function, ...)
24. QFuture<T> run(QThreadPool *pool, Function function, ...)

很多都是重载的，主要函数如下：

• Concurrent Map and Map-Reduce
  • QtConcurrent::map() applies a function to every item in a container, modifying the items in-place.
  • –这个函数会将作为参数传入的函数应用到容器中的每一项，对这些项进行直接修改，会修改传入变量内容。
  • QtConcurrent::mapped() is like map(), except that it returns a new container with the modifications.
  • –功能类似于map()，只不过它不是直接修改原始容器，而是将修改后的元素放到一个新的容器中并作为返回值返回。
  • QtConcurrent::mappedReduced() is like mapped(), except that the modified results are reduced or folded into a single result.
  • –功能类似于mapped()，首先执行mapped的操作，然后传入一个Reduce函数进行简化，最终返回唯一一个元素，此操作不会修改原始容器。

• Concurrent Filter and Filter-Reduce
  • QtConcurrent::filter() removes all items from a container based on the result of a filter function.
  • –从容器中删除那些满足某个过来条件的项。
  • QtConcurrent::filtered() is like filter(), except that it returns a new container with the filtered results.
  • –功能类似于filter()，只不过它会返回一个包含剩余元素的容器。
  • QtConcurrent::filteredReduced() is like filtered(), except that the filtered results are reduced or folded into a single result.
  • –功能类似于filtered()，后续进行reduce操作。
• Concurrent Run
  • QtConcurrent::run() runs a function in another thread.
  • –用另一个进程运行一个函数
• QFuture represents the result of an asynchronous computation.
• — 获取一步计算结果
• QFutureIterator allows iterating through results available via QFuture.
• –通过使用QFuture允许遍历结果
• QFutureWatcher allows monitoring a QFuture using signals-and-slots.
• — 利用信号槽监视QFuture
• QFutureSynchronizer is a convenience class that automatically synchronizes several QFutures.
• –自动同步多个futures

2. QtConcurrent::map

map的范例：http://doc.qt.io/qt-5/qtconcurrent-map-example.html

map详细介绍：http://doc.qt.io/qt-5/qtconcurrentmap.html

1. #include <QCoreApplication>
2. #include <QtConcurrent>
3. #include <QVector>
4. #include <QDebug>
5. #include <QFuture>
6. void MapFunction(int& num) {
7. num += 1;
8. }
9. int mappedReducedFunction(const int& num) {
10. return num + 1;
11. }
12. void ReduceFunction(int& result, const int& item) {
13. int t_r = result;
14. result = item > result ? item : result;
15. qDebug()<<t_r<<result<<item;
16. }
17. int main(int argc, char *argv[]) {
18. QCoreApplication a(argc, argv);
19. QVector<int> testVactor;
20. for(int i = 1; i <= 3; i++) {
21. testVactor.push_back(i);
22. }
23. for(int i = 1; i <= 3; i++) {
24. testVactor.push_back(10-i);
25. }
26. qDebug() << "start m:" << testVactor;
27. QFuture<void> f = QtConcurrent::map(testVactor, MapFunction);
28. f.waitForFinished();
29. qDebug() << "map result:" << testVactor;//map直接修改源数据
30. QFuture<int> r = QtConcurrent::mappedReduced(testVactor, mappedReducedFunction, ReduceFunction);
31. qDebug() << "mappedReduced result:" << r.result();
32. return 0;
33. }

注意几个函数的声明形式，不可有差距。结果

1. start m: QVector(1, 2, 3, 9, 8, 7)
2. map result: QVector(2, 3, 4, 10, 9, 8)
3. 0 3 3
4. 3 4 4
5. 4 5 5
6. 5 11 11
7. 11 11 10
8. 11 11 9
9. mappedReduced result: 11

结果示意很明显，reduced最终表留的是等于函数result参数值的项

3. QtConcurrent::filter

filter详细介绍：http://doc.qt.io/qt-5/qtconcurrentfilter.html

1. #include <QCoreApplication>
2. #include <QtConcurrent>
3. #include <QList>
4. #include <QDebug>
5. #include <QFuture>
6. bool filterFunction(const int& num) {
7. return (num > 5);
8. }
9. void ReduceFunction(int& result, const int& item) {
10. int t_r = result;
11. result = item > result ? item : result;
12. qDebug()<<t_r<<result<<item;
13. }
14. int main(int argc, char *argv[]) {
15. QCoreApplication a(argc, argv);
16. QList<int> testVactor;
17. for(int i = 1; i <= 3; i++) {
18. testVactor.push_back(i);
19. }
20. for(int i = 1; i <= 3; i++) {
21. testVactor.push_back(10-i);
22. }
23. qDebug() << "start m:" << testVactor;
24. QFuture<void> f = QtConcurrent::filter(testVactor, filterFunction);
25. f.waitForFinished();
26. qDebug() << "map result:" << testVactor;//map直接修改源数据
27. QFuture<int> r = QtConcurrent::filteredReduced(testVactor, filterFunction, ReduceFunction);
28. qDebug() << "mappedReduced result:" << r.result();
29. return 0;
30. }

注意几个函数的声明形式，不可有差距。filter函数要返回bool类型，用于判断是否过滤此元素

结果：

1. start m: (1, 2, 3, 9, 8, 7)
2. map result: (9, 8, 7)
3. 0 9 9
4. 9 9 8
5. 9 9 7
6. mappedReduced result: 9

4. QtConcurrent::run

感觉run用起来很舒服，因为他没有对运行函数头做限制，可以是任意数量的任意类型参数。

run的详细帮助：http://doc.qt.io/qt-5/qtconcurrentrun.html，也可以看看本机的qtconcurrentrun.h文件，可以看到里面有很多的run的重载函数

下面给出最基本的使用

1. #include <QCoreApplication>
2. #include <QtConcurrent>
3. #include <QList>
4. #include <QDebug>
5. #include <QThread>
6. void function(const QList<int>& param1, const int& param2, Qt::HANDLE main_id) {
7. qDebug()<<"function param:"<<param1<<param2<<main_id;
8. qDebug()<<"function thread id:" <<QThread::currentThreadId();
9. }
10. int main(int argc, char *argv[]) {
11. QCoreApplication a(argc, argv);
12. QList<int> testVactor;
13. for(int i = 1; i <= 3; i++) {
14. testVactor.push_back(i);
15. }
16. qDebug() << "main thread id:" << QThread::currentThreadId();
17. QFuture<void> f = QtConcurrent::run(function,testVactor,666,QThread::currentThreadId());
18. f.waitForFinished();//要等待，否则线程没运行完程序结束会出错
19. return 0;
20. }

结果

1. main thread id: 0x2a10
2. function param: (1, 2, 3) 666 0x2a10
3. function thread id: 0x2344

4.1. 其他使用方式-指定线程池

有时候希望运行的函数在全局线程池或者局部线程池运行，而不是有qt托管处理，可以进行如下方式调用：

1. extern void aFunction();
2. QThreadPool pool;
3. QFuture<void> future = QtConcurrent::run(&pool, aFunction);

5. 阻塞QtConcurrent

上述所有函数都是非阻塞的，所以在return 0前都有waitForFinished，qt同样提供了阻塞函数

见最开始API帮助介绍连接，可以看到相关接口

1. void blockingFilter(Sequence &sequence, FilterFunction filterFunction)
2. Sequence blockingFiltered(const Sequence &sequence, FilterFunction filterFunction)
3. Sequence blockingFiltered(ConstIterator begin, ConstIterator end, FilterFunction filterFunction)
4. T blockingFilteredReduced(const Sequence &sequence, FilterFunction filterFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce)
5. T blockingFilteredReduced(ConstIterator begin, ConstIterator end, FilterFunction filterFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce)
6. void blockingMap(Sequence &sequence, MapFunction function)
7. void blockingMap(Iterator begin, Iterator end, MapFunction function)
8. T blockingMapped(const Sequence &sequence, MapFunction function)
9. T blockingMapped(ConstIterator begin, ConstIterator end, MapFunction function)
10. T blockingMappedReduced(const Sequence &sequence, MapFunction mapFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce)
11. T blockingMappedReduced(ConstIterator begin, ConstIterator end, MapFunction mapFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce)

可以看到对应函数的介绍都有：

使用方式近似，不提供示例了。

转载请以链接形式标明本文标题和地址：Techie亮博客 » Qt多线程-QtConcurrent并行运算高级API