What are the performance benefits of using std::unordered_map in C++17?

What are the performance benefits of using std::unordered_map in C++17?

In C++17, std::unordered_map offers average constant time complexity for insertions, deletions, and lookups, making it very efficient for large datasets.

How does it compare to std::map in terms of performance?

std::unordered_map generally outperforms std::map for most operations due to its hash table implementation, while std::map is implemented as a balanced tree.

Are there any downsides to using std::unordered_map?

Yes, std::unordered_map can have higher memory usage due to its underlying hash table and may have worse performance in cases of hash collisions.

What are some best practices for using std::unordered_map?

Use a good hash function, avoid excessive resizing, and consider the load factor to maintain performance.