In C++, you can load shared libraries at runtime using the `dlopen` function from the `
The process involves using `dlopen` to load the library, `dlsym` to obtain pointers to the functions you wish to use, and `dlclose` to close the library once you're done with it.
Here is an example demonstrating how to load a shared library at runtime:
#include <iostream>
#include <dlfcn.h>
typedef void (*FunctionType)();
int main() {
void* handle = dlopen("libmylibrary.so", RTLD_LAZY);
if (!handle) {
std::cerr << "Cannot load library: " << dlerror() << std::endl;
return 1;
}
dlerror(); // Clear existing errors
FunctionType myFunction = (FunctionType) dlsym(handle, "myFunction");
const char* dlsym_error = dlerror();
if (dlsym_error) {
std::cerr << "Cannot load symbol 'myFunction': " << dlsym_error << std::endl;
dlclose(handle);
return 1;
}
myFunction(); // Call the function
dlclose(handle); // Close the library
return 0;
}
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?