When working with embedded targets, it's essential to serialize and deserialize data structures like `std::map` effectively. This enables you to store and retrieve data in a compact format, suitable for environments with limited resources. Here's a guide on how to accomplish that in C++.
Serialization is the process of converting a data structure into a format that can be easily stored or transmitted, while deserialization is the reverse process. Below is an example of how to serialize and deserialize a `std::map` using a simple string-based approach.
#include <iostream>
#include <map>
#include <sstream>
std::string serialize(const std::map<int, std::string> &m) {
std::ostringstream oss;
for (const auto &pair : m) {
oss << pair.first << ',' << pair.second << ';';
}
return oss.str();
}
std::map<int, std::string> deserialize(const std::string &str) {
std::map<int, std::string> m;
std::istringstream iss(str);
std::string pair;
while (std::getline(iss, pair, ';')) {
std::istringstream pair_stream(pair);
int key;
std::string value;
if (std::getline(pair_stream, value, ',') && pair_stream >> key) {
m[key] = value;
}
}
return m;
}
int main() {
std::map<int, std::string> data = { {1, "one"}, {2, "two"}, {3, "three"} };
std::string serialized = serialize(data);
std::cout << "Serialized: " << serialized << std::endl;
std::map<int, std::string> deserialized = deserialize(serialized);
for (const auto &pair : deserialized) {
std::cout << pair.first << ": " << pair.second << std::endl;
}
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?