在List <t>上使用Take(...)时,是否在应用Take(...)之前返回了整个列表?

时间:2015-11-09 00:20:26

标签: c# .net linq optimization

我有List

类型的元素
    public class FriendList 
    {
        public List<string> friends { get; set; } // List of friends names
        public DateTime timestamp { get; set; } // date/time on the data file
    }

我需要一个程序来获取timestamp排序的前2个(然后用它们做一些其他的东西)。所以我开始写的是

    public void CompareLastTwo ( )
    {
        if ( this._fhist.Count < 2 )
        {
            Console.WriteLine("Need at least two instances of Facebook profile data in the Data folder");
        }

        FriendList latest, secondLatest; 
        if ( this._fhist[0].timestamp > this._fhist[1].timestamp )
        {
            latest = this._fhist[0];
            secondLatest = this._fhist[1];
        }
        else
        {
            latest = this._fhist[1];
            secondLatest = this._fhist[0];
        }

        for ( int i = 2, n = this._fhist.Count; i < n; ++i )
        {
            if ( this._fhist[i].timestamp > latest.timestamp )
            {
                secondLatest = latest;
                latest = this._fhist[i];
            }
            else if ( this._fhist[i].timestamp > secondLatest.timestamp && this._fhist[i].timestamp <= latest.timestamp )
            {
                secondLatest = this._fhist[i];
            }
        }

        // ... 

    }

然后我通过查看How to get first N elements of a list in C#?我可以做到

来实现
List<FriendList> latestTwoFriendLists = this._fhist.OrderBy(L => L.timestamp).Take(2);

哪个更紧凑,但 效率 ????或者,在Take第一个2之前,计算方程右侧的过程是否得到整个有序列表?

2 个答案:

答案 0 :(得分:7)

OrderBy请求第一项时,

Take会对整个集合进行排序。

因此,整个LINQ查询将是 O(n * log(n)),而不是 O(n),就像现有代码一样。

答案 1 :(得分:1)

一般来说,如果将OrderBy实现为惰性排序,则OrderBy不必对这种情况下的所有项进行排序。标准的linq排序不是懒惰的,所以它会排序一切。你的解决方案尽可能快,你会发现更好。只需将其作为独立功能进行清理,如下所示:

 public class FriendList
        {
            public List<string> friends { get; set; } // List of friends names
            public DateTime timestamp { get; set; } // date/time on the data file
        }

        public static Tuple<T, T> GetTwoBiggest<T>(IEnumerable<T> array, Comparison<T> comp)
        {
            var enumerator = array.GetEnumerator();

            if (!enumerator.MoveNext()) { throw new ArgumentException("We need collection with at least two items"); }
            T max1 = enumerator.Current;

            if (!enumerator.MoveNext()) { throw new ArgumentException("We need collection with at least two items"); }
            T max2 = enumerator.Current;

            if (comp(max1, max2) < 0)
            {
                T tmp = max1;
                max1 = max2;
                max2 = tmp;
            }

            while (enumerator.MoveNext())
            {
                T actual = enumerator.Current;
                if (comp(actual, max1) > 0)
                {
                    max2 = max1;
                    max1 = actual;
                }
                else if (comp(actual, max2) > 0)
                {
                    max2 = actual;
                }
            }

            return new Tuple<T, T>(max1, max2);
        }

        private void button6_Click(object sender, EventArgs e)
        {
            List<FriendList> list = new List<FriendList>()
            {
                new FriendList() { timestamp = new DateTime(2015,1,1) },
                new FriendList() { timestamp = new DateTime(2015,10,2) },
                new FriendList() { timestamp = new DateTime(2015,5,3) },
                new FriendList() { timestamp = new DateTime(2015,2,4) },
                new FriendList() { timestamp = new DateTime(2015,3,5) },
                new FriendList() { timestamp = new DateTime(2015,7,6) },
                new FriendList() { timestamp = new DateTime(2015,11,7) },
                new FriendList() { timestamp = new DateTime(2015,8,8) },
            };

            var twoBiggest = GetTwoBiggest(list, (a, b) => a.timestamp.CompareTo(b.timestamp));

            Console.WriteLine(twoBiggest.Item1.timestamp);
            Console.WriteLine(twoBiggest.Item2.timestamp);
        }