找出2个集合与40K对象的差异

Question

I have 2 collections both containing the same type of object and both collections have approximately 40K objects each.

The code for the object each collection contains is basically like a dictionary except I've overridden the equals and hash functions:

public class MyClass: IEquatable<MyClass>
{
    public int ID { get; set; }
    public string Name { get; set; }

    public override bool Equals(object obj)
    {
        return obj is MyClass && this.Equals((MyClass)obj);
    }

    public bool Equals(MyClass ot)
    {
        if (ReferenceEquals(this, ot))
        {
            return true;
        }

        return 
         ot.ID.Equals(this.ID) &&
         string.Equals(ot.Name, this.Name, StringComparison.OrdinalIgnoreCase); 
    }

    public override int GetHashCode()
    {
         unchecked
         {
             int result = this.ID.GetHashCode();
             result = (result * 397) ^ this.Name.GetSafeHashCode();
             return result;
         }
    }
}

The code I'm using to compare the collections and get the differences is just a simple Linq query using PLinq.

ParallelQuery p1Coll = sourceColl.AsParallel();
ParallelQuery p2Coll = destColl.AsParallel();

List<object> diffs = p2Coll.Where(r => !p1Coll.Any(m => m.Equals(r))).ToList();

Does anybody know of a faster way of comparing this many objects? Currently it's taking about 40 seconds +/- 2 seconds on a quad core computer. Would doing some grouping based on the data and then comparing each group of data in parallel possibly be faster? If I group the data first based on Name I would end up with about 490 unique objects and if I grouped it by ID first I would end up with about 622 unique objects.

Answer 1

You can use Except method which will give you every item from p2Coll that is not in p1Coll .

var diff = p2Coll.Except(p1Coll);

---

UPDATE (some performance testing):

Disclaimer:

Actual time depends upon multiple factors (such as content of collections, hardware, what's running on your machine, amount of hashcode collisions etc.) that's why we have complexity and Big O notation (see Daniel Brückner comment).

Here is some performance stats for 10 runs on my 4 years old machine:

Median time for Any(): 6973,97658ms
Median time for Except(): 9,23025ms

Source code for my test is available on gist.

---

UPDATE 2:

If you want to have different items from both first and second collection you have to actually do Expect on both and that Union the result:

var diff = p2Coll.Except(p1Coll).Union(p1Coll.Except(p2Coll));

Answer 2

Intersect

int[] id1 = { 44, 26, 92, 30, 71, 38 };
int[] id2 = { 39, 59, 83, 47, 26, 4, 30 };

IEnumerable<int> both = id1.Intersect(id2);

foreach (int id in both)
    Console.WriteLine(id);

/*
This code produces the following output:

26
30
*/