Coologic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。
使用此类需要在pro文件增加QT += concurrent
API
void blockingFilter(Sequence &sequence, FilterFunction filterFunction) Sequence blockingFiltered(const Sequence &sequence, FilterFunction filterFunction) Sequence blockingFiltered(ConstIterator begin, ConstIterator end, FilterFunction filterFunction) T blockingFilteredReduced(const Sequence &sequence, FilterFunction filterFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce) T blockingFilteredReduced(ConstIterator begin, ConstIterator end, FilterFunction filterFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce) void blockingMap(Sequence &sequence, MapFunction function) void blockingMap(Iterator begin, Iterator end, MapFunction function) T blockingMapped(const Sequence &sequence, MapFunction function) T blockingMapped(ConstIterator begin, ConstIterator end, MapFunction function) T blockingMappedReduced(const Sequence &sequence, MapFunction mapFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce) T blockingMappedReduced(ConstIterator begin, ConstIterator end, MapFunction mapFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce) QFuture<void> filter(Sequence &sequence, FilterFunction filterFunction) QFuture<T> filtered(const Sequence &sequence, FilterFunction filterFunction) QFuture<T> filtered(ConstIterator begin, ConstIterator end, FilterFunction filterFunction) QFuture<T> filteredReduced(const Sequence &sequence, FilterFunction filterFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce) QFuture<T> filteredReduced(ConstIterator begin, ConstIterator end, FilterFunction filterFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce) QFuture<void> map(Sequence &sequence, MapFunction function) QFuture<void> map(Iterator begin, Iterator end, MapFunction function) QFuture<T> mapped(const Sequence &sequence, MapFunction function) QFuture<T> mapped(ConstIterator begin, ConstIterator end, MapFunction function) QFuture<T> mappedReduced(const Sequence &sequence, MapFunction mapFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce) QFuture<T> mappedReduced(ConstIterator begin, ConstIterator end, MapFunction mapFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce) QFuture<T> run(Function function, ...) 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
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
#include <QCoreApplication>
#include <QtConcurrent>
#include <QVector>
#include <QDebug>
#include <QFuture>
void MapFunction(int& num) {
num += 1;
}
int mappedReducedFunction(const int& num) {
return num + 1;
}
void ReduceFunction(int& result, const int& item) {
int t_r = result;
result = item > result ? item : result;
qDebug()<<t_r<<result<<item;
}
int main(int argc, char *argv[]) {
QCoreApplication a(argc, argv);
QVector<int> testVactor;
for(int i = 1; i <= 3; i++) {
testVactor.push_back(i);
}
for(int i = 1; i <= 3; i++) {
testVactor.push_back(10-i);
}
qDebug() << "start m:" << testVactor;
QFuture<void> f = QtConcurrent::map(testVactor, MapFunction);
f.waitForFinished();
qDebug() << "map result:" << testVactor;//map直接修改源数据
QFuture<int> r = QtConcurrent::mappedReduced(testVactor, mappedReducedFunction, ReduceFunction);
qDebug() << "mappedReduced result:" << r.result();
return 0;
}注意几个函数的声明形式，不可有差距。结果
start m: QVector(1, 2, 3, 9, 8, 7) map result: QVector(2, 3, 4, 10, 9, 8) 0 3 3 3 4 4 4 5 5 5 11 11 11 11 10 11 11 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
QtConcurrent::filter
filter详细介绍：http://doc.qt.io/qt-5/qtconcurrentfilter.html
#include <QCoreApplication>
#include <QtConcurrent>
#include <QList>
#include <QDebug>
#include <QFuture>
bool filterFunction(const int& num) {
return (num > 5);
}
void ReduceFunction(int& result, const int& item) {
int t_r = result;
result = item > result ? item : result;
qDebug()<<t_r<<result<<item;
}
int main(int argc, char *argv[]) {
QCoreApplication a(argc, argv);
QList<int> testVactor;
for(int i = 1; i <= 3; i++) {
testVactor.push_back(i);
}
for(int i = 1; i <= 3; i++) {
testVactor.push_back(10-i);
}
qDebug() << "start m:" << testVactor;
QFuture<void> f = QtConcurrent::filter(testVactor, filterFunction);
f.waitForFinished();
qDebug() << "map result:" << testVactor;//map直接修改源数据
QFuture<int> r = QtConcurrent::filteredReduced(testVactor, filterFunction, ReduceFunction);
qDebug() << "mappedReduced result:" << r.result();
return 0;
}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：
start m: (1, 2, 3, 9, 8, 7) map result: (9, 8, 7) 0 9 9 9 9 8 9 9 7 mappedReduced result: 9
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
#include <QCoreApplication>
#include <QtConcurrent>
#include <QList>
#include <QDebug>
#include <QThread>
void function(const QList<int>& param1, const int& param2, Qt::HANDLE main_id) {
qDebug()<<"function param:"<<param1<<param2<<main_id;
qDebug()<<"function thread id:" <<QThread::currentThreadId();
}
int main(int argc, char *argv[]) {
QCoreApplication a(argc, argv);
QList<int> testVactor;
for(int i = 1; i <= 3; i++) {
testVactor.push_back(i);
}
qDebug() << "main thread id:" << QThread::currentThreadId();
QFuture<void> f = QtConcurrent::run(function,testVactor,666,QThread::currentThreadId());
f.waitForFinished();//要等待，否则线程没运行完程序结束会出错
return 0;
}结果
main thread id: 0x2a10 function param: (1, 2, 3) 666 0x2a10 function thread id: 0x2344
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：
extern void aFunction(); QThreadPool pool; QFuture<void> future = QtConcurrent::run(&pool, aFunction);
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
void blockingFilter(Sequence &sequence, FilterFunction filterFunction) Sequence blockingFiltered(const Sequence &sequence, FilterFunction filterFunction) Sequence blockingFiltered(ConstIterator begin, ConstIterator end, FilterFunction filterFunction) T blockingFilteredReduced(const Sequence &sequence, FilterFunction filterFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce) T blockingFilteredReduced(ConstIterator begin, ConstIterator end, FilterFunction filterFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce) void blockingMap(Sequence &sequence, MapFunction function) void blockingMap(Iterator begin, Iterator end, MapFunction function) T blockingMapped(const Sequence &sequence, MapFunction function) T blockingMapped(ConstIterator begin, ConstIterator end, MapFunction function) T blockingMappedReduced(const Sequence &sequence, MapFunction mapFunction, ReduceFunction reduceFunction, QtConcurrent::ReduceOptions reduceOptions = UnorderedReduce | SequentialReduce) 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：
Note: This function will block until all items in the sequence have been processed.
使用方式近似，不提供示例了。
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