Initializing a std::map when the size is known in advance

No, the members of the map are internally stored in a tree structure. There is no way to build the tree until you know the keys and values that are to be stored.


The short answer is: yes, this is possible, but it's not trivial. You need to define a custom allocator for your map. The basic idea is that your custom allocator will set aside a single block of memory for the map. As the map requires new nodes, the allocator will simply assign them addresses within the pre-allocated block. Something like this:

std::map<KeyType, ValueType, std::less<KeyType>, MyAllocator> myMap;

myMap.get_allocator().reserve( nodeSize * numberOfNodes );

There are a number of issues you'll have to deal with, however.

First, you don't really know the size of each map node or how many allocations the map will perform. These are internal implementation details. You can experiment to find out, but you can't assume that the results will hold across different compilers (or even future versions of the same compiler). Therefore, you shouldn't worry about allocating a "fixed" size map. Rather, your goal should be to reduce the number of allocations required to a handful.

Second, this strategy becomes quite a bit more complex if you want to support deletion.

Third, don't forget memory alignment issues. The pointers your allocator returns must be properly aligned for the various types of objects the memory will store.

All that being said, before you try this, make sure it's necessary. Memory allocation can be very expensive, but you still shouldn't assume that it's a problem for your program. Measure to find out. You should also consider alternative strategies that more naturally allow pre-allocation. For example, a sorted list or a std::unordered_map.


Not sure if this answers your question, but Boost.Container has a flat_map in which you can reserve space. Basically you can see this as a sorted vector of (key, value) pairs. Tip: if you also know that your input is sorted, you can use insert with hint for maximal performance.