Queue<T> vs List<T>

.NetPerformanceListQueueDifference

.Net Problem Overview


I'm currently using a List<T> as a queue (use lst[0] then lst.removeAt(0)) to hold objects. There's about 20 items max at a given time. I realized there was an actual Queue<T> class. I'm wondering if there's any benefit (performance, memory, etc.) to using a Queue<T> over a List<T> acting like a queue?

.Net Solutions


Solution 1 - .Net

Performance can be profiled. Though in this case of so few items, you may need to run the code millions of times to actually get worthwhile differences.

I will say this: Queue<T> will expose your intent more explicitly, people know how a queue works.

A list being used like a queue is not as clear, especially if you have a lot of needless indexing and RemoveAt(magicNumber) code. Dequeue is a lot more consumable from a code maintenance point of view.

If this then gives you measurable performance issues, you can address it. Don't address every potential performance issue upfront.

Solution 2 - .Net

Short answer:
Queue<T> is faster than List<T> when it's used like a queue. List<T> is faster than Queue<T> when used like a list.

Long answer:
A Queue<T> is faster for dequeuing operation, which is an O(1) operation. The entire block of subsequent items of the array is not moved up. This is possible because a Queue<T> need not facilitate removal from random positions, but only from the top. So it maintains a head (from which the item is pulled upon Dequeue) and tail position (to which the item is added upon Enqueue). On the other hand removing from the top of a List<T> requires itself to shift positions of every subsequent item one up. This is O(n) - worst case if you're removing from the top, which is what a dequeue operation is. The speed advantage can be noticeable if you're dequeuing in a loop.

A List<T> is more performant if you need indexed access, random retrieval etc. A Queue<T> will have to enumerate fully to find the appropriate index position (it doesn't expose IList<T>).

That said, a Stack<T> vs List<T> is much closer, there is no performance difference in pushing and popping operations. They both push to end and remove from end of array structures (both of which are O(1)).


Of course you should use the correct structure that reveals the intent. In most cases they will perform better as well since they are tailor-made for the purpose. I believe had there been no performance difference at all, Microsoft wouldn't have included Queue<T> and Stack<T> in the framework for merely different semantics. It would have been simply easily extensible if that was the case. Think about SortedDictionary<K, V> and SortedList<K, V>, both of which do exactly the same but is differentiated by only performance characteristic; they find a place in BCL.

Solution 3 - .Net

Besides the fact that the Queue<T> class implements a queue and the List<T> class implement a list there is a performance difference.

Every time you remove the first element from List<T> all elements in the queue are copied. With only 20 elements in the queue it may not be noticeable. However, when you dequeue the next element from Queue<T> no such copying is happening and that will always be faster. If the queue is long the difference can be significant.

Solution 4 - .Net

I wanted to emphasize what HugoRune already pointed out. Queue is significantly faster than List, where memory accesses are 1 vs. n for List in this use case. I have a similar use case but I have hundreds of values and I will use Queue because it is an order of magnitude faster.

A note about Queue being implemented on top of List: the key word is "implemented". It doesn't copy every value to a new memory location upon dequeue, rather using a circular buffer. This can be done on "top of List" without the penalties of copies that direct usage of List implies.

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QuestionJackView Question on Stackoverflow
Solution 1 - .NetAdam HouldsworthView Answer on Stackoverflow
Solution 2 - .NetnawfalView Answer on Stackoverflow
Solution 3 - .NetMartin LiversageView Answer on Stackoverflow
Solution 4 - .NettradetreeView Answer on Stackoverflow