Anyone know any speed differences between Where and FindAll on List. I know Where is part of IEnumerable and FindAll is part of List, I'm just curious what's faster.
The FindAll method of the List<T> class actually constructs a new list object, and adds results to it. The Where extension method for IEnumerable<T> will simply iterate over an existing list and yield an enumeration of the matching results without creating or adding anything (other than the enumerator itself.)
Given a small set, the two would likely perform comparably. However, given a larger set, Where should outperform FindAll, as the new List created to contain the results will have to dynamically grow to contain additional results. Memory usage of FindAll will also start to grow exponentially as the number of matching results increases, where as Where should have constant minimal memory usage (in and of itself...excluding whatever you do with the results.)
.FindAll()
should be faster, it takes advantage of already knowing the List's size and looping through the internal array with a simple for
loop. .Where()
has to fire up an enumerator (a sealed framework class called WhereIterator
in this case) and do the same job in a less specific way.
Keep in mind though, that .Where() is enumerable, not actively creating a List in memory and filling it. It's more like a stream, so the memory use on something very large can have a significant difference. Also, you could start using the results in a parallel fashion much faster using there .Where() approach in 4.0.
Where is much, much faster than FindAll. No matter how big the list is, Where takes exactly the same amount of time.
Of course Where just creates a query. It doesn't actually do anything, unlike FindAll which does create a list.
The answer from jrista makes senses. However, the new list adds the same objects, thus just growing with reference to existing objects, which should not be that slow. As long as 3.5 / Linq extension are possible, Where stays better anyway. FindAll makes much more sense when limited with 2.0