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blockingFilter

主要作用是筛选出符合条件的项值结果集,并与之替换原有序列列表

blockingMap

可以直接修改容器的每一项

blockingMapped

不直接修改容器的每一项,而是将处理后的结果返回一个新的容器

blockingMappedReduced

ResultType QtConcurrent::blockingMappedReduced(const Sequence &sequence, MapFunctor mapFunction, ReduceFunctor reduceFunction, QtConcurrent::ReduceOptions reduceOptions = ReduceOptions(UnorderedReduce | SequentialReduce))Calls mapFunction once for each item in sequence. The return value of each mapFunction is passed to reduceFunction.
Note that while mapFunction is called concurrently, only one thread at a time will call reduceFunction. The order in which reduceFunction is called is determined by reduceOptions.

按顺序为每个项目调用mapFunction一次。每个mapFunction的返回值被传递给reduceFunction。
请注意，当mapFunction被并发调用时，一次只有一个线程会调用reduceFunction。reduceFunction的调用顺序由reduceOptions决定。

注意：blockingFilter、blockingMap、blockingMapped、blockingMappedReduced 这些函数将阻塞直到序列中的所有项都被处理完。当然，他们也有异步版本（QtConcurrent::map、QtConcurrent::mapped、QtConcurrent::mappedReduced），只要把前面的block去掉就是对应的异步版本函数了。

示例代码

#include <QCoreApplication>
#include <QtConcurrent>
#include <QDebug>int Addfunc(const int &arg)
{return arg + 1;
};int multiplyFunc(const int &num)
{return num * 10;
}void reducedFunction(int &result, const int &intermedia)
{result += intermedia;
}int main(int argc, char *argv[])
{QCoreApplication a(argc, argv);//<1>blockingFilter 主要作用是筛选出符合条件的项值结果集,并与之替换原有序列列表QList<int> list0{2, 7, 6, 5, 10, 9, 8, 3, 4};QtConcurrent::blockingFilter(list0, [](int v) { return v > 5; });qDebug() << "blockingFilter sequence=" << list0;//(7, 6, 10, 9, 8)//<2>blockingMap 可以直接修改容器的每一项QList<int> list1 = {1, 2, 3, 4, 5};QtConcurrent::blockingMap(list1, [](int &num){num = num * 10;});qDebug() << "blockingMap list1=" << list1;//(10, 20, 30, 40, 50)//<3>blockingMapped 不直接修改容器的每一项,而是将处理后的结果返回一个新的容器QList<int> list2 = {3, 4, 5, 6, 7};list2 = QtConcurrent::blockingMapped(list2, multiplyFunc);qDebug() << "blockingMapped list2=" << list2;//(30, 40, 50, 60, 70)//<4>按顺序为每个项目调用multiplyFunc一次,每个multiplyFunc的返回值被传递给reducedFunctionQList<int> list3 = {6, 7, 8, 9, 10};int res = QtConcurrent::blockingMappedReduced(list3, multiplyFunc, reducedFunction);qDebug() << "blockingMappedReduced res=" << res;//400//--------------------------Asynchronous call--------------------------
#if 1//QtConcurrent::mapQList<int> sequence0{1, 2, 3, 4, 5, 6, 7};QFuture<void> future0 = QtConcurrent::map(sequence0, Addfunc);QFutureWatcher<void> *watcher = new QFutureWatcher<void>();QObject::connect(watcher, &QFutureWatcher<void>::finished, [=](){qDebug() << "QtConcurrent::map" << sequence0;});//QtConcurrent::mappedQList<int> sequence1{1, 2, 3, 4, 5, 6, 7};QFuture<int> future1 = QtConcurrent::mapped(sequence1, multiplyFunc);qDebug() << "QtConcurrent::mapped" << future1.results();//(10, 20, 30, 40, 50, 60, 70)//新的结果用QFuture::const_iterator或QFutureIterator进行访问QFutureIterator<int> itr(future1);while (itr.hasNext()) {qDebug() << "itr=" << itr.next();}//QtConcurrent::mappedReduced()类似于mapped()//区别在于将结果继续传递给一个新函数,并在新函数里再处理成一个单值QList<int> sequence2{1, 2, 3, 4, 5, 6, 7};QFuture<int> future2 = QtConcurrent::mappedReduced(sequence2, multiplyFunc, reducedFunction);future2.waitForFinished();int result = future2.result();qDebug() << "QtConcurrent::mappedReduced" << result;//280
#endifreturn a.exec();
}