Select data structures based on expected collection size and usage patterns. For small collections (typically fewer than 30 elements), consider using ordered containers like `std::map` instead of hash-based ones like `std::unordered_map`. With small collections, the theoretical O(log n) vs O(1) lookup time difference becomes negligible in practice, while...
Select data structures based on expected collection size and usage patterns. For small collections (typically fewer than 30 elements), consider using ordered containers like std::map
instead of hash-based ones like std::unordered_map
. With small collections, the theoretical O(log n) vs O(1) lookup time difference becomes negligible in practice, while ordered containers avoid hash function computation overhead and potential collision handling.
// Instead of using unordered_map for small collections:
std::unordered_map<ModuleRequest, ModuleWrap*> module_requests;
// Consider using an ordered map:
std::map<ModuleRequest, ModuleWrap*> module_requests;
When working with hash-based containers, reuse precomputed hash values when available (like V8’s GetIdentityHash()
) instead of recomputing hashes with std::hash
. This avoids unnecessary computation and improves performance, especially for string data that might already have an identity hash from the JavaScript engine.
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