How do I use ccache/sccache to accelerate builds for C++ projects?

Using ccache or sccache can significantly accelerate builds for C++ projects by caching the results of previous compilations. This allows for quicker compile times by avoiding the need to recompile unchanged source files. Below are examples and instructions on how to set up both ccache and sccache.

ccache, sccache, C++, build acceleration, caching, compilation, development tools
Discover how to use ccache and sccache to speed up your C++ project builds by caching compilation results for faster workflows.
// Setting up ccache for a C++ project // Install ccache (e.g., on Ubuntu) sudo apt-get install ccache // Configure ccache to cache files export CC="ccache g++" export CXX="ccache g++" // Now, run your build command (e.g., cmake or make) cmake .. make // For sccache (Rust's caching tool for C++ projects) // Install sccache cargo install sccache // Set up sccache as the compiler export CC="sccache gcc" export CXX="sccache g++" // Run the build command cmake .. make

ccache sccache C++ build acceleration caching compilation development tools

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?