Question

Which is faster to find an item in a hashtable or in a sorted list?

Answer 1

Algorithm complexity is a good thing to know, and hashtables are known to be O(1) while a sorted vector (in your case I guess it is better to use a sorted array than a list) will provide O(log n) access time.

But you should know that complexity notation gives you the access time for N going to the infinite. That means that if you know that your data will keep growing, complexity notation gives you some hint on the algorithm to chose.

When you know that your data will keep a rather low length: for instance having only a few entries in your array/hashtable, you must go with your watch and measure. So have a test.

For instance, in another problem: sorting an array. For a few entries bubble sort while O(N^2) may be quicker than .. the quick sort, while it is O(n log n).

Also, accordingly to other answers, and depending on your item, you must try to find the best hash function for your hashtable instance. Otherwise it may lead to dramatic bad performance for lookup in your hashtable (as pointed out in Hank Gay’s answer).

Edit: Have a look to this article to understand the meaning of Big O notation .