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
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 Filter and Filter-Reduce
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
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
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
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
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);
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。
Techie亮博客,转载请注明:Coologic » Qt多线程-QtConcurrent并行运算高级API
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