maps and sets are meant to impose a strict weak ordering upon the data. Strick weak ordering maintains that no entries are equavalent (different to being equal).
You need to provide a functor that the map/set may use to perform a<b
. With this functor the map/set sorts its items (in the STL from GCC it uses a red-black tree). It determines weather two items are equavalent if !a<b && !b<a
-- the equavelence test.
The functor looks like follows:
template <class T>
struct less : binary_function<T,T,bool> {
bool operator() (const T& a, const T& b) const {
return a < b;
}
};
If you can provide a function that tells the STL how to order things then the map and set can do what you want. For example
template<typename T>
struct ItemHolder
{
int insertCount;
T item;
};
You can then easily write a functor to order by insertCount. If your implementation uses red-black trees your underlying data will remain balanced -- however you will get a lot of re-balancing since your data will be generated based on incremental ordering (vs. Random) -- and in this case a list
with push_back
would be better. However you cannot access data by key as fast as you would with a map/set.
If you want to sort by string -- provide the functor to search by string, using the insertCount you could potentiall work backwards. If you want to search by both you can have two maps.
map<insertcount, string> x; // auxhilary key
map<string, item> y; //primary key
I use this strategy often -- however I have never placed it in code that is run often. I'm considering boost::bimap.