How do I use scope guards to ensure cleanup?

Scope guards are a programming construct that helps ensure cleanup or resource management in the presence of exceptions or early returns. They are particularly useful in languages that do not have built-in support for RAII (Resource Acquisition Is Initialization), like C++. By utilizing scope guards, you can define cleanup actions that get executed when a block of code is exited, helping to manage resource leaks and maintain cleaner code.

Example of Scope Guards in C++

#include #include class ScopeGuard { public: explicit ScopeGuard(std::function onExit) : onExit_(onExit), dismissed_(false) {} ~ScopeGuard() { if (!dismissed_) { onExit_(); } } void dismiss() { dismissed_ = true; } private: std::function onExit_; bool dismissed_; }; void exampleFunction() { ScopeGuard guard([] { std::cout << "Cleanup action executed!" << std::endl; }); std::cout << "Doing some work..." << std::endl; // Simulate some logic if (true) { // Early return or exit return; } // If we reach here, cleanup will not happen guard.dismiss(); } int main() { exampleFunction(); return 0; }

scope guards C++ resource management RAII cleanup actions

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?