C# Linq延遲查詢的執(zhí)行實例代碼

更新時間：2021年04月19日 09:23:59 作者：沉默♪☞小傲

這篇文章主要介紹了C# Linq延遲查詢執(zhí)行的相關資料,文中通過示例代碼介紹的非常詳細，對大家的學習或者工作具有一定的參考學習價值，需要的朋友們下面隨著小編來一起學習學習吧

C# Linq延遲查詢

在定義linq查詢表達式時，查詢是不會執(zhí)行，查詢會在迭代數(shù)據項時運行。它使用yield return 語句返回謂詞為true的元素。

var names = new List<string> { "Nino", "Alberto", "Juan", "Mike", "Phil" };
var namesWithJ = from n in names
                 where n.StartsWith("J")
                 orderby n
                 select n;
Console.WriteLine("First iteration");
foreach (string name in namesWithJ) 
{
    Console.WriteLine(name);
}
Console.WriteLine();

names.Add("John");
names.Add("Jim");
names.Add("Jack");
names.Add("Denny");

Console.WriteLine("Second iteration");
foreach (string name in namesWithJ)
{
    Console.WriteLine(name);
}

運行結果為

First iteration
Juan

Second iteration
Jack
Jim
John
Juan

從執(zhí)行結果可以看出，當在定義namesWithJ時并不會執(zhí)行，而是在執(zhí)行每個foreach語句時進行，所以后面增加的“John”、“Jim”、“Jack”和“Denny”在第二次迭代時也會參與進來。

ToArray()、ToList()等方法可以改變這個操作，把namesWithJ的定義語句修改為

var namesWithJ = (from n in names
                  where n.StartsWith("J")
                  orderby n
                  select n).ToList();

運行結果為

First iteration
Juan

Second iteration
Juan

在日常工作中，我們常會使用 datas.Where(x=>x.XX == XXX).FirstOrDefault() 和 datas.FirstOrDefault(x=>x.XX == XXX)，其實這兩種寫法性能是等效的，如果真的要在性能上分個高低，請見下面

C# Linq.FirstOrDefault、Linq.Where、Linq.AsParallel、List.Exists、List.Find、Dictionar.TryGetValue、HashSet.Contains 性能的比較

今天我們來比較一下集合檢索方法性能更優(yōu)問題，測試代碼

public class Entity
{
    public int Id { get; set; }
    public int No { get; set; }
    public string Col1 { get; set; }
    public string Col2 { get; set; }
    public string Col3 { get; set; }
    public string Col4 { get; set; }
    public string Col5 { get; set; }
    public string Col6 { get; set; }
    public string Col7 { get; set; }
    public string Col8 { get; set; }
    public string Col9 { get; set; }
    public string Col10 { get; set; }
}
static void TestFindVelocity(int totalDataCount, int executeCount)
{
    #region 構造數(shù)據
    List<Entity> datas = new List<Entity>();
    for (int i = 0; i < totalDataCount; i++)
    {
        var item = new Entity
        {
            No = i + 1,
            Col1 = Guid.NewGuid().ToString("N"),
            Col2 = Guid.NewGuid().ToString("N"),
            Col3 = Guid.NewGuid().ToString("N"),
            Col4 = Guid.NewGuid().ToString("N"),
            Col5 = Guid.NewGuid().ToString("N"),
            Col6 = Guid.NewGuid().ToString("N"),
            Col7 = Guid.NewGuid().ToString("N"),
            Col8 = Guid.NewGuid().ToString("N"),
            Col9 = Guid.NewGuid().ToString("N"),
            Col10 = Guid.NewGuid().ToString("N"),
        };
        datas.Add(item);
    }
    #endregion
    var dicDatas = datas.ToDictionary(x => x.No);
    var hashSetDatas = datas.ConvertAll<Tuple<int, int>>(x => new Tuple<int, int>(x.No, x.No + 1000)).ToHashSet();
    Stopwatch sw = new Stopwatch();
    Random random = new Random();
    Entity searchResult = null;
    bool searchResultBool = false;
    // 每次查詢索引
    List<int> indexs = Enumerable.Range(1, executeCount).Select(x => random.Next(1, totalDataCount)).ToList();

    sw.Start();
    for (int i = 0; i < executeCount; i++)
    {
        searchResult = datas.FirstOrDefault(x => x.No == indexs[i]);
    }
    sw.Stop();
    Console.WriteLine($"list FirstOrDefault 耗時：{sw.ElapsedMilliseconds}");

    sw.Restart();
    for (int i = 0; i < executeCount; i++)
    {
        searchResult = datas.Where(x => x.No == indexs[i]).First();
    }
    sw.Stop();
    Console.WriteLine($"list Where+First 耗時：{sw.ElapsedMilliseconds}");

    sw.Restart();
    for (int i = 0; i < executeCount; i++)
    {
        searchResultBool = datas.Exists(x => x.No == indexs[i]);
    }
    sw.Stop();
    Console.WriteLine($"list Exist 耗時：{sw.ElapsedMilliseconds}");

    sw.Restart();
    for (int i = 0; i < executeCount; i++)
    {
        searchResult = datas.Find(x => x.No == indexs[i]);
    }
    sw.Stop();
    Console.WriteLine($"list Find 耗時：{sw.ElapsedMilliseconds}");

    sw.Restart();
    for (int i = 0; i < executeCount; i++)
    {
        dicDatas.TryGetValue(indexs[i], out searchResult);
    }
    sw.Stop();
    Console.WriteLine($"dictionary TryGetValue 耗時：{sw.ElapsedMilliseconds}");

    sw.Restart();
    for (int i = 0; i < executeCount; i++)
    {
        searchResultBool = hashSetDatas.Contains(new Tuple<int, int>(indexs[i], indexs[i] + 1000));
    }
    sw.Stop();
    Console.WriteLine($"Hashset contains 耗時：{sw.ElapsedMilliseconds}");
}

結果

(集合數(shù)量，測試次數(shù))	Linq.FirstOrDefault	Linq.Where+First	List.Exists	List.Find	Dictionary.TryGetValue	HashSet.Contains
(100, 5000000)	4544	3521	1992	1872	66	924
(1000, 5000000)	41751	29417	20631	19490	70	869
(10000, 5000000)	466918	397425	276409	281647	85	946
(50000, 5000)	6292	4602	4252	3559	0	2
(500000, 5000)	56988	55568	48423	48395	1	5