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我有一个案例，我不能让 Entity Framework 为我构建好的和快速的 sql。

我的情况是我有三个实体。商店、销售和销售热线。Sale 持有交易日期时间，而 salesline 持有数量、价格等。

我想建立一个报告，显示每家商店和每天的一些汇总数据（剥离时间）

这是我所做的：

result = (
    from sale in ctx.Sales
    join salesline in ctx.SalesLines on sale.Id equals salesline.Sale_Id
    join shop in ctx.Shops on sale.Shop_Id equals shop.Id
    where sale.Shop_Id == shopId
    group sale by new
    {
        SalesDate = DbFunctions.TruncateTime(sale.TransactionDateTime),
        ShopName = sale.Shop.Name
    }
    into s
    let CountOfSales = s.Count()
    let CountOfSalesLines = s.Sum(x => x.SalesLines.Count())
    let SumOfQuantity = s.Sum(x => x.SalesLines.Sum(sl => sl.Quantity))
    let SumOfTotalPrice = s.Sum(x => x.SalesLines.Sum(sl => sl.TotalPrice))
    let SumOfTotalDiscount = s.Sum(x => x.SalesLines.Sum(sl => sl.TotalDiscount))
    let SumOfVAT = s.Sum(x => x.SalesLines.Sum(sl => sl.VAT))
    select new DailySalesDataModel
    {
        ShopNameWithLocation = s.Key.ShopName,
        SalesDate = s.Key.SalesDate.Value,
        CountOfSales = CountOfSales,
        CountOfSalesLines = CountOfSalesLines,
        SumOfQuantity = SumOfQuantity,
        SumOfTotalPrice = SumOfTotalPrice,
        SumOfTotalDiscount = SumOfTotalDiscount,
        SumOfVAT = SumOfVAT
    }
).OrderBy(nda => nda.SalesDate).AsNoTracking().ToList();

这导致以下 SQL 需要大约 20 秒才能执行。

exec sp_executesql N'SELECT 
[Project11].[C2] AS [C1], 
[Project11].[Name] AS [Name], 
[Project11].[C1] AS [C2], 
[Project11].[C3] AS [C3], 
[Project11].[C4] AS [C4], 
[Project11].[C5] AS [C5], 
[Project11].[C6] AS [C6], 
[Project11].[C7] AS [C7], 
[Project11].[C8] AS [C8]
FROM ( SELECT 
    [Project10].[Name] AS [Name], 
    [Project10].[C2] AS [C1], 
    1 AS [C2], 
     CAST( [Project10].[C1] AS float) AS [C3], 
     CAST( [Project10].[C3] AS float) AS [C4], 
     CAST( [Project10].[C4] AS float) AS [C5], 
    [Project10].[C5] AS [C6], 
    [Project10].[C6] AS [C7], 
    [Project10].[C7] AS [C8]
    FROM ( SELECT 
        [Project9].[C1] AS [C1], 
        [Project9].[Name] AS [Name], 
        [Project9].[C2] AS [C2], 
        [Project9].[C3] AS [C3], 
        [Project9].[C4] AS [C4], 
        [Project9].[C5] AS [C5], 
        [Project9].[C6] AS [C6], 
        (SELECT 
            SUM([Filter10].[A1]) AS [A1]
            FROM ( SELECT 
                (SELECT 
                    SUM([Extent23].[VAT]) AS [A1]
                    FROM [dbo].[SalesLine] AS [Extent23]
                    WHERE [Extent20].[Id] = [Extent23].[Sale_Id]) AS [A1]
                FROM   [dbo].[Sale] AS [Extent20]
                INNER JOIN [dbo].[SalesLine] AS [Extent21] ON [Extent20].[Id] = [Extent21].[Sale_Id]
                INNER JOIN [dbo].[Shop] AS [Extent22] ON [Extent20].[Shop_Id] = [Extent22].[Id]
                WHERE ([Extent20].[Shop_Id] = @p__linq__0) AND (([Project9].[C2] = (convert (datetime2, convert(varchar(255), [Extent20].[TransactionDateTime], 102) ,  102))) OR (([Project9].[C2] IS NULL) AND (convert (datetime2, convert(varchar(255), [Extent20].[TransactionDateTime], 102) ,  102) IS NULL))) AND (([Project9].[Name] = [Extent22].[Name]) OR (1 = 0))
            )  AS [Filter10]) AS [C7]
        FROM ( SELECT 
            [Project8].[C1] AS [C1], 
            [Project8].[Name] AS [Name], 
            [Project8].[C2] AS [C2], 
            [Project8].[C3] AS [C3], 
            [Project8].[C4] AS [C4], 
            [Project8].[C5] AS [C5], 
            [Project8].[C6] AS [C6]
            FROM ( SELECT 
                [Project7].[C1] AS [C1], 
                [Project7].[Name] AS [Name], 
                [Project7].[C2] AS [C2], 
                [Project7].[C3] AS [C3], 
                [Project7].[C4] AS [C4], 
                [Project7].[C5] AS [C5], 
                (SELECT 
                    SUM([Filter8].[A1]) AS [A1]
                    FROM ( SELECT 
                        (SELECT 
                            SUM([Extent19].[TotalDiscount]) AS [A1]
                            FROM [dbo].[SalesLine] AS [Extent19]
                            WHERE [Extent16].[Id] = [Extent19].[Sale_Id]) AS [A1]
                        FROM   [dbo].[Sale] AS [Extent16]
                        INNER JOIN [dbo].[SalesLine] AS [Extent17] ON [Extent16].[Id] = [Extent17].[Sale_Id]
                        INNER JOIN [dbo].[Shop] AS [Extent18] ON [Extent16].[Shop_Id] = [Extent18].[Id]
                        WHERE ([Extent16].[Shop_Id] = @p__linq__0) AND (([Project7].[C2] = (convert (datetime2, convert(varchar(255), [Extent16].[TransactionDateTime], 102) ,  102))) OR (([Project7].[C2] IS NULL) AND (convert (datetime2, convert(varchar(255), [Extent16].[TransactionDateTime], 102) ,  102) IS NULL))) AND (([Project7].[Name] = [Extent18].[Name]) OR (1 = 0))
                    )  AS [Filter8]) AS [C6]
                FROM ( SELECT 
                    [Project6].[C1] AS [C1], 
                    [Project6].[Name] AS [Name], 
                    [Project6].[C2] AS [C2], 
                    [Project6].[C3] AS [C3], 
                    [Project6].[C4] AS [C4], 
                    [Project6].[C5] AS [C5]
                    FROM ( SELECT 
                        [Project5].[C1] AS [C1], 
                        [Project5].[Name] AS [Name], 
                        [Project5].[C2] AS [C2], 
                        [Project5].[C3] AS [C3], 
                        [Project5].[C4] AS [C4], 
                        (SELECT 
                            SUM([Filter6].[A1]) AS [A1]
                            FROM ( SELECT 
                                (SELECT 
                                    SUM([Extent15].[TotalPrice]) AS [A1]
                                    FROM [dbo].[SalesLine] AS [Extent15]
                                    WHERE [Extent12].[Id] = [Extent15].[Sale_Id]) AS [A1]
                                FROM   [dbo].[Sale] AS [Extent12]
                                INNER JOIN [dbo].[SalesLine] AS [Extent13] ON [Extent12].[Id] = [Extent13].[Sale_Id]
                                INNER JOIN [dbo].[Shop] AS [Extent14] ON [Extent12].[Shop_Id] = [Extent14].[Id]
                                WHERE ([Extent12].[Shop_Id] = @p__linq__0) AND (([Project5].[C2] = (convert (datetime2, convert(varchar(255), [Extent12].[TransactionDateTime], 102) ,  102))) OR (([Project5].[C2] IS NULL) AND (convert (datetime2, convert(varchar(255), [Extent12].[TransactionDateTime], 102) ,  102) IS NULL))) AND (([Project5].[Name] = [Extent14].[Name]) OR (1 = 0))
                            )  AS [Filter6]) AS [C5]
                        FROM ( SELECT 
                            [Project4].[C1] AS [C1], 
                            [Project4].[Name] AS [Name], 
                            [Project4].[C2] AS [C2], 
                            [Project4].[C3] AS [C3], 
                            [Project4].[C4] AS [C4]
                            FROM ( SELECT 
                                [Project3].[C1] AS [C1], 
                                [Project3].[Name] AS [Name], 
                                [Project3].[C2] AS [C2], 
                                [Project3].[C3] AS [C3], 
                                (SELECT 
                                    SUM([Filter4].[A1]) AS [A1]
                                    FROM ( SELECT 
                                        (SELECT 
                                            SUM([Extent11].[Quantity]) AS [A1]
                                            FROM [dbo].[SalesLine] AS [Extent11]
                                            WHERE [Extent8].[Id] = [Extent11].[Sale_Id]) AS [A1]
                                        FROM   [dbo].[Sale] AS [Extent8]
                                        INNER JOIN [dbo].[SalesLine] AS [Extent9] ON [Extent8].[Id] = [Extent9].[Sale_Id]
                                        INNER JOIN [dbo].[Shop] AS [Extent10] ON [Extent8].[Shop_Id] = [Extent10].[Id]
                                        WHERE ([Extent8].[Shop_Id] = @p__linq__0) AND (([Project3].[C2] = (convert (datetime2, convert(varchar(255), [Extent8].[TransactionDateTime], 102) ,  102))) OR (([Project3].[C2] IS NULL) AND (convert (datetime2, convert(varchar(255), [Extent8].[TransactionDateTime], 102) ,  102) IS NULL))) AND (([Project3].[Name] = [Extent10].[Name]) OR (1 = 0))
                                    )  AS [Filter4]) AS [C4]
                                FROM ( SELECT 
                                    [Project2].[C1] AS [C1], 
                                    [Project2].[Name] AS [Name], 
                                    [Project2].[C2] AS [C2], 
                                    [Project2].[C3] AS [C3]
                                    FROM ( SELECT 
                                        [Project1].[C1] AS [C1], 
                                        [Project1].[Name] AS [Name], 
                                        [Project1].[C2] AS [C2], 
                                        (SELECT 
                                            SUM([Filter2].[A1]) AS [A1]
                                            FROM ( SELECT 
                                                (SELECT 
                                                    COUNT(1) AS [A1]
                                                    FROM [dbo].[SalesLine] AS [Extent7]
                                                    WHERE [Extent4].[Id] = [Extent7].[Sale_Id]) AS [A1]
                                                FROM   [dbo].[Sale] AS [Extent4]
                                                INNER JOIN [dbo].[SalesLine] AS [Extent5] ON [Extent4].[Id] = [Extent5].[Sale_Id]
                                                INNER JOIN [dbo].[Shop] AS [Extent6] ON [Extent4].[Shop_Id] = [Extent6].[Id]
                                                WHERE ([Extent4].[Shop_Id] = @p__linq__0) AND (([Project1].[C2] = (convert (datetime2, convert(varchar(255), [Extent4].[TransactionDateTime], 102) ,  102))) OR (([Project1].[C2] IS NULL) AND (convert (datetime2, convert(varchar(255), [Extent4].[TransactionDateTime], 102) ,  102) IS NULL))) AND (([Project1].[Name] = [Extent6].[Name]) OR (1 = 0))
                                            )  AS [Filter2]) AS [C3]
                                        FROM ( SELECT 
                                            [GroupBy1].[A1] AS [C1], 
                                            [GroupBy1].[K1] AS [Name], 
                                            [GroupBy1].[K2] AS [C2]
                                            FROM ( SELECT 
                                                [Filter1].[K1] AS [K1], 
                                                [Filter1].[K2] AS [K2], 
                                                COUNT([Filter1].[A1]) AS [A1]
                                                FROM ( SELECT 
                                                    [Extent3].[Name] AS [K1], 
                                                    convert (datetime2, convert(varchar(255), [Extent1].[TransactionDateTime], 102) ,  102) AS [K2], 
                                                    1 AS [A1]
                                                    FROM   [dbo].[Sale] AS [Extent1]
                                                    INNER JOIN [dbo].[SalesLine] AS [Extent2] ON [Extent1].[Id] = [Extent2].[Sale_Id]
                                                    INNER JOIN [dbo].[Shop] AS [Extent3] ON [Extent1].[Shop_Id] = [Extent3].[Id]
                                                    WHERE [Extent1].[Shop_Id] = @p__linq__0
                                                )  AS [Filter1]
                                                GROUP BY [K1], [K2]
                                            )  AS [GroupBy1]
                                        )  AS [Project1]
                                    )  AS [Project2]
                                )  AS [Project3]
                            )  AS [Project4]
                        )  AS [Project5]
                    )  AS [Project6]
                )  AS [Project7]
            )  AS [Project8]
        )  AS [Project9]
    )  AS [Project10]
)  AS [Project11]
ORDER BY [Project11].[C1] ASC',N'@p__linq__0 bigint',@p__linq__0=28

如果我在手边构建 SQL，我会这样做，它会在不到 1 秒的时间内执行。

SELECT Shop.Name AS ShopName, convert (datetime2, convert(varchar(255), Sale.[TransactionDateTime], 102), 102) AS SaleDate, COUNT(DISTINCT Sale.Id) AS countOfSales, COUNT(DISTINCT SalesLine.Id) AS CountOfSalesLines, SUM(SalesLine.Quantity) AS SumOfQty, SUM(SalesLine.TotalPrice) AS SumPrice, SUM(SalesLine.TotalDiscount) AS SumDiscount, SUM(SalesLine.VAT) AS SumVat
FROM Sale INNER JOIN SalesLine ON Sale.Id = SalesLine.Sale_Id INNER JOIN Shop ON Sale.Shop_Id = Shop.Id
WHERE Shop.Id = 28
GROUP BY Shop.Name, convert (datetime2, convert(varchar(255), Sale.[TransactionDateTime], 102), 102)
ORDER BY convert (datetime2, convert(varchar(255), Sale.[TransactionDateTime], 102), 102)

我的问题是如何设计我的实体框架查询，以便生成更干净、更快速的 SQL。

我知道可以直接查询数据库，但我希望类型安全并使用引擎。

我在网上搜索了很多，但找不到符合这种情况的案例。

我希望得到帮助！

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1 回答 1

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编写 LINQ 查询时需要考虑一些事项。始终从具有外键的实体开始。进入被引用实体会更快，因为它的主键已经被索引。检查以下解决方案：

    var result = await ctx.SalesLines.Where(x => x.Sale.ShopId == 82).Select(x => new
    {
        ShopName = x.Sale.Shope.Name,
        SaleDate = x.TransactionDate,
        SaleID = x.Sale.ID,
        SalesLineID = x.ID,
        SalesQuantity = x.Quantity,
        SalesTotalPrice = x.TotalPrice,
        SalesDiscount = x.TotalDiscount,
        SalesVAT = x.VAT
    }).GroupBy(x => new { x.ShopName, x.SaleDate }).OrderBy(x => x.SaleDate).Select(p => new DailySalesDataModel
            {
                CountOfSales = p.Distinct(x => x.SaleID).Count(),
                CountOfSalesLines = p.ToList().Count(),
                SalesDate = p.Key.SaleDate,
                SumOfQuantity = p.Sum(x => x.SalesQuantity),
                SumOfTotalDiscount = p.Sum(x => x.SalesDiscount),
                SumOfTotalPrice = p.Sum(x => x.SalesTotalPrice),
                SumOfVAT = p.Sum(x => x.SalesVAT)
            }).ToListAsync();
于 2018-02-13T11:01:16.253 回答