How to handle cross-thread C++ exceptions?
In multi-threaded C++, exception handling is implemented through the std::promise and std::future mechanisms: use the promise object to record the exception in the thread that throws the exception. Use a future object to check for exceptions in the thread that receives the exception. Practical examples show how to use promises and futures to catch and handle exceptions in different threads.
How to handle cross-thread C++ exceptions
Preface
In multi-threaded programming, exceptions may be thrown in any thread . Handling exceptions across threads requires additional considerations because there is no explicit control over how and where exceptions are thrown.
Exception delivery mechanism
The C++ standard library provides a mechanism for delivering exceptions, called std::promise
and std::future
. We can use them to safely pass exceptions between threads.
std::promise
is responsible for generating exceptions, while std::future
is responsible for receiving exceptions. Both objects must be created in the same thread:
// 在主线程创建 std::promise<void> promise; std::future<void> future = promise.get_future();
When the exception is thrown in other threads, we can use the promise
object to pass it:
// 在 worker 线程 try { // ... 代码可能会抛出异常 } catch (const std::exception& e) { promise.set_exception(std::make_exception_ptr(e)); }
The future
object can then be used in the main thread to check for exceptions:
// 在主线程 try { future.get(); } catch (const std::exception& e) { // 处理异常 }
Practical case
The following code shows how to use std::promise
and std::future
to handle cross-thread exceptions:
#include <iostream> #include <future> #include <thread> // 打印函数以展示在不同线程中抛出的异常 void printFunction() { try { throw std::runtime_error("这是一个运行时错误!"); } catch (const std::exception& e) { std::cerr << "Worker 线程捕获异常:" << e.what() << '\n'; } } int main() { std::promise<void> promise; std::future<void> future = promise.get_future(); // 在新线程中运行打印函数 std::thread worker(printFunction); // 让主线程等待 worker 线程 try { future.get(); } catch (const std::exception& e) { std::cerr << "主线程捕获异常:" << e.what() << '\n'; } worker.join(); return 0; }
Conclusion
By using std::promise
and std: :future
, we can handle cross-thread exceptions safely. This allows us to continue execution after an exception occurs and handle it later.
The above is the detailed content of How to handle cross-thread C++ exceptions?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



In PHP, exception handling is achieved through the try, catch, finally, and throw keywords. 1) The try block surrounds the code that may throw exceptions; 2) The catch block handles exceptions; 3) Finally block ensures that the code is always executed; 4) throw is used to manually throw exceptions. These mechanisms help improve the robustness and maintainability of your code.

In C, the char type is used in strings: 1. Store a single character; 2. Use an array to represent a string and end with a null terminator; 3. Operate through a string operation function; 4. Read or output a string from the keyboard.

Multithreading in the language can greatly improve program efficiency. There are four main ways to implement multithreading in C language: Create independent processes: Create multiple independently running processes, each process has its own memory space. Pseudo-multithreading: Create multiple execution streams in a process that share the same memory space and execute alternately. Multi-threaded library: Use multi-threaded libraries such as pthreads to create and manage threads, providing rich thread operation functions. Coroutine: A lightweight multi-threaded implementation that divides tasks into small subtasks and executes them in turn.

The calculation of C35 is essentially combinatorial mathematics, representing the number of combinations selected from 3 of 5 elements. The calculation formula is C53 = 5! / (3! * 2!), which can be directly calculated by loops to improve efficiency and avoid overflow. In addition, understanding the nature of combinations and mastering efficient calculation methods is crucial to solving many problems in the fields of probability statistics, cryptography, algorithm design, etc.

std::unique removes adjacent duplicate elements in the container and moves them to the end, returning an iterator pointing to the first duplicate element. std::distance calculates the distance between two iterators, that is, the number of elements they point to. These two functions are useful for optimizing code and improving efficiency, but there are also some pitfalls to be paid attention to, such as: std::unique only deals with adjacent duplicate elements. std::distance is less efficient when dealing with non-random access iterators. By mastering these features and best practices, you can fully utilize the power of these two functions.

In C language, snake nomenclature is a coding style convention, which uses underscores to connect multiple words to form variable names or function names to enhance readability. Although it won't affect compilation and operation, lengthy naming, IDE support issues, and historical baggage need to be considered.

The release_semaphore function in C is used to release the obtained semaphore so that other threads or processes can access shared resources. It increases the semaphore count by 1, allowing the blocking thread to continue execution.

Dev-C 4.9.9.2 Compilation Errors and Solutions When compiling programs in Windows 11 system using Dev-C 4.9.9.2, the compiler record pane may display the following error message: gcc.exe:internalerror:aborted(programcollect2)pleasesubmitafullbugreport.seeforinstructions. Although the final "compilation is successful", the actual program cannot run and an error message "original code archive cannot be compiled" pops up. This is usually because the linker collects
