What are the best collection types for large data sets?

What are the best collection types for large data sets?

The best collection types for large data sets include arrays, linked lists, hash tables, and trees. Each has its own advantages depending on the use case.

Can you explain why hash tables are effective for large data sets?

Hash tables are effective because they provide average-case constant time complexity for lookups, insertions, and deletions, making them very efficient for large data.

What about trees? When should I use them?

Trees, especially balanced trees like AVL or Red-Black trees, are great for maintaining sorted data and allowing for efficient range queries.

Are there any downsides to using arrays?

Yes, arrays have a fixed size, which can be limiting. They also require contiguous memory allocation, which can lead to inefficiencies.