01Qt中的隐式共享

隐式共享

​ 隐式共享又称为回写复制（copy on write）。当两个对象共享同一分数据时（通过浅拷贝实现数据共享），如果数据不改变，则不进行数据的复制。而当某个对象需要需要改变数据时，则进行深拷贝。

​ 程序在处理共享对象时，使用深拷贝和浅拷贝这两种方式复制对象。所谓深拷贝，就是生成对象的一个完整复制品；而浅拷贝则是一个引用复制（如今复制指向共享数据的指针）。显然，执行一个深拷贝的代价是昂贵的，要占用更多的内存和 CPU 资源；而浅拷贝的效率则很好，他仅需设置一个指向共享数据库的指针几修改引用计数的值。

​ 隐式共享可以降低对内存和 CPU 资源的使用，提高程序的运行效率。它使得在函数中（如参数、返回值）使用值传递更有效率。

​ QString 类采用隐式共享计数，将深拷贝和浅拷贝有机的结合起来。

#include <QCoreApplication>
#include <QDebug>
int main(int argc, char *argv[])
{
    QCoreApplication a(argc, argv);
    QString str1 = "data";
    QString str2 = str1;
    //QString的data_ptr()函数返回字符存储区地址
    qDebug() << "浅拷贝：" ;
    qDebug() << "str1.data_ptr(): " << str1.data_ptr();
    qDebug() << "str2.data_ptr(): " << str2.data_ptr();

    str2[3] = 'e';
    str2[0] = 'f';
    qDebug() << "深拷贝：" ;
    qDebug() << "str1.data_ptr(): " << str1.data_ptr();
    qDebug() << "str2.data_ptr(): " << str2.data_ptr();

    return a.exec();
}

​ 输出结果为：

aaarticlea/png;base64,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" 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