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使用GROUP BY和COUNT優化/重寫LINQ查詢

[英]Optimize/rewrite LINQ query with GROUP BY and COUNT

我正在嘗試按以下數據集計算按名稱分組的唯一Foos和Bars。

Id  |   IsActive    |   Name    |   Foo     |   Bar
1   |       1       |   A       |   11      |   null
2   |       1       |   A       |   11      |   null
3   |       1       |   A       |   null    |   123
4   |       1       |   B       |   null    |   321

我希望上面數據的結果是:

Expected:
A = 2;
B = 1;

我嘗試按名稱,Foo,Bar進行分組,然后再按名稱分組,並使用計數來獲取“行”計數。 但那並沒有給我正確的結果。 (或者ToDictionary扔了一個重復的鍵,我玩了很多,所以不記得了)

db.MyEntity
    .Where(x => x.IsActive)
    .GroupBy(x => new { x.Name, x.Foo, x.Bar })
    .GroupBy(x => new { x.Key.Name, Count = x.Count() })
    .ToDictionary(x => x.Key, x => x.Count);

所以我提出了這個LINQ查詢。 但它相當慢。

db.MyEntity
    .Where(x => x.IsActive)
    .GroupBy(x => x.Name)
    .ToDictionary(x => x.Key,
        x =>
            x.Where(y => y.Foo != null).Select(y => y.Foo).Distinct().Count() +
            x.Where(y => y.Bar != null).Select(y => y.Bar).Distinct().Count());

我該如何優化它?

這是推薦的實體

public class MyEntity
{
    public int Id { get; set; }
    public bool IsActive { get; set; }
    public string Name { get; set; }
    public int? Foo { get; set; }
    public int? Bar { get; set; }
}

編輯

我也試過這個查詢

db.MyEntity
    .Where(x => x.IsActive)
    .GroupBy(x => new { x.Name, x.Foo, x.Bar })
    .GroupBy(x => x.Key.Name)
    .ToDictionary(x => x.Key, x => x.Count());

但那引發了超時異常:(

查詢效率極低,因為您在客戶端執行大部分工作(構建字典所涉及的所有內容),而無法使用數據庫進行投影。 這是一個問題,因為數據庫(特別是如果這些值被索引)可以比客戶端更快地完成這項工作,並且還因為對數據庫進行預測涉及通過網絡發送的數據少得多。

因此, 對數據進行分組之前,只需進行預測。

var activeItems = db.MyEntity.Where(x => x.IsActive);

var query = activeItems.Select(x => new { Name, Value = x.Foo}).Distinct()
    .Concat(activeItems.Select(x => new { Name, Value = x.Bar}).Distinct())        
    .Where(x => x != null)
    .GroupBy(pair => pair.Name)
    .Select(group => new { group.Key, Count = Group.Count()})
    .ToDictionary(pair => pair.Key, pair => pair.Count);

您的目標是產生以下查詢:

select Name, count(distinct Foo) + count(distinct Bar)
from myEntity
where IsActive = 1
group by Name

這是獲得所需內容的最小查詢。 但是LINQ似乎盡可能地復雜化了所有內容:)

您的目標是在數據庫級別盡可能多地執行此操作。 現在您的查詢被翻譯為:

SELECT 
    [Project2].[C1] AS [C1], 
    [Project2].[Name] AS [Name], 
    [Project2].[C2] AS [C2], 
    [Project2].[id] AS [id], 
    [Project2].[IsActive] AS [IsActive], 
    [Project2].[Name1] AS [Name1], 
    [Project2].[Foo] AS [Foo], 
    [Project2].[Bar] AS [Bar]
    FROM ( SELECT 
        [Distinct1].[Name] AS [Name], 
        1 AS [C1], 
        [Extent2].[id] AS [id], 
        [Extent2].[IsActive] AS [IsActive], 
        [Extent2].[Name] AS [Name1], 
        [Extent2].[Foo] AS [Foo], 
        [Extent2].[Bar] AS [Bar], 
        CASE WHEN ([Extent2].[id] IS NULL) THEN CAST(NULL AS int) ELSE 1 END AS [C2]
        FROM   (SELECT DISTINCT 
            [Extent1].[Name] AS [Name]
            FROM [dbo].[SomeTable] AS [Extent1]
            WHERE [Extent1].[IsActive] = 1 ) AS [Distinct1]
        LEFT OUTER JOIN [dbo].[SomeTable] AS [Extent2] ON ([Extent2].[IsActive] = 1) AND ([Distinct1].[Name] = [Extent2].[Name])
    )  AS [Project2]
    ORDER BY [Project2].[Name] ASC, [Project2].[C2] ASC

它從數據庫中選擇所有內容並在應用程序層執行分組,這是低效的。

@Servy的查詢:

var activeItems = db.MyEntity.Where(x => x.IsActive);

var query = activeItems.Select(x => new { Name, Value = x.Foo}).Distinct()
.Concat(activeItems.Select(x => new { Name, Value = x.Bar}).Distinct())        
.Where(x => x != null)
.GroupBy(pair => pair.Name)
.Select(group => new { group.Key, Count = Group.Count()})
.ToDictionary(pair => pair.Key, pair => pair.Count);

被翻譯成:

SELECT 
1 AS [C1], 
[GroupBy1].[K1] AS [C2], 
[GroupBy1].[A1] AS [C3]
FROM ( SELECT 
    [UnionAll1].[Name] AS [K1], 
    COUNT(1) AS [A1]
    FROM  (SELECT 
        [Distinct1].[Name] AS [Name]
        FROM ( SELECT DISTINCT 
            [Extent1].[Name] AS [Name], 
            [Extent1].[Foo] AS [Foo]
            FROM [dbo].[SomeTable] AS [Extent1]
            WHERE ([Extent1].[IsActive] = 1) AND ([Extent1].[Foo] IS NOT NULL)
        )  AS [Distinct1]
    UNION ALL
        SELECT 
        [Distinct2].[Name] AS [Name]
        FROM ( SELECT DISTINCT 
            [Extent2].[Name] AS [Name], 
            [Extent2].[Bar] AS [Bar]
            FROM [dbo].[SomeTable] AS [Extent2]
            WHERE ([Extent2].[IsActive] = 1) AND ([Extent2].[Bar] IS NOT NULL)
        )  AS [Distinct2]) AS [UnionAll1]
    GROUP BY [UnionAll1].[Name]
)  AS [GroupBy1]

它好多了。

我嘗試過以下方法:

var activeItems = (from o in db.SomeTables
                   where o.IsActive
                   group o by o.Name into gr
                   select new { gr.Key, cc = gr.Select(c => c.Foo).Distinct().Count(c => c != null) + 
                                             gr.Select(c => c.Bar).Distinct().Count(c => c != null) }).ToDictionary(c => c.Key);

這被翻譯為:

SELECT 
1 AS [C1], 
[Project5].[Name] AS [Name], 
[Project5].[C1] + [Project5].[C2] AS [C2]
FROM ( SELECT 
    [Project3].[Name] AS [Name], 
    [Project3].[C1] AS [C1], 
    (SELECT 
        COUNT(1) AS [A1]
        FROM ( SELECT DISTINCT 
            [Extent3].[Bar] AS [Bar]
            FROM [dbo].[SomeTable] AS [Extent3]
            WHERE ([Extent3].[IsActive] = 1) AND ([Project3].[Name] = [Extent3].[Name]) AND ([Extent3].[Bar] IS NOT NULL)
        )  AS [Distinct3]) AS [C2]
    FROM ( SELECT 
        [Distinct1].[Name] AS [Name], 
        (SELECT 
            COUNT(1) AS [A1]
            FROM ( SELECT DISTINCT 
                [Extent2].[Foo] AS [Foo]
                FROM [dbo].[SomeTable] AS [Extent2]
                WHERE ([Extent2].[IsActive] = 1) AND ([Distinct1].[Name] = [Extent2].[Name]) AND ([Extent2].[Foo] IS NOT NULL)
            )  AS [Distinct2]) AS [C1]
        FROM ( SELECT DISTINCT 
            [Extent1].[Name] AS [Name]
            FROM [dbo].[SomeTable] AS [Extent1]
            WHERE [Extent1].[IsActive] = 1
        )  AS [Distinct1]
    )  AS [Project3]
)  AS [Project5]

大致相同但沒有第二版的工會。

結論:

如果表非常大並且性能至關重要,我會創建一個視圖並將其導入模型中。 否則堅持@Servy的第3版或第2版。 當然應該測試性能。

我認為您可以稍微修改您的初始查詢以獲得您想要的內容:

db.MyEntity
    .Where(x => x.IsActive)
    .GroupBy(x => new { x.Name, x.Foo, x.Bar })
    .GroupBy(x => x.Key.Name)
    .ToDictionary(x => x.Key, x => x.Count());

Count()添加到第二個分組時,您將計算三部分鍵的重復值。 您只想計算每個三部分鍵的不同值,因此您可以Name分組進行計數。

只有關於問題的建議才能使用DISTINCT以獲得更好的性能。使用分組。

請查看此鏈接

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