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In situations where the order of insertion is crucial, relying solely on a std::map may not suffice. If maintaining the insertion order is a priority, there are alternative approaches to consider.
One option involves converting the map's contents into a std::vector before iterating and printing its values. By leveraging a suitable functor, you can employ std::sort to arrange the elements based on their insertion order.
However, if rapid lookups are essential (e.g., 10 million times), using a vector may introduce performance concerns. For such scenarios, the boost::multi_index library offers a solution that combines the efficiency of a map with the flexibility of multiple indexes.
Using boost::multi_index:
This library allows you to establish multiple indexes for each container. In this specific case, you can define a value_t struct with string and int members, and utilize two indexes:
You can then instantiate a multi_index_container like so:
struct value_t { string s; int i; }; struct string_tag {}; typedef multi_index_container< value_t, indexed_by< random_access<>, // insertion order hashed_unique<tag<string_tag>, member<value_t, string, &value_t::s>> > > values_t;
This approach grants efficient lookups while preserving the insertion order when iterating the container.
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