Entity Framework 6 在分組和聚合時糟糕的 SQL 生成和性能
[英]Entity Framework 6 bad SQL generation and performance while grouping and aggregating
問題描述
我有一個案例，我無法讓實體框架為我構建漂亮而快速的 sql。
我的情況是我有三個實體。 商店、銷售和銷售線。 Sale 持有交易日期時間，銷售線持有數量、價格等。
我想構建一個報告，顯示每個商店和每天的一些匯總數據（剝離時間）
這是我所做的：
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();
這將導致以下 SQL 執行大約需要 20 秒。
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
如果我在手邊構建 SQL，我會這樣做，並且它在不到 1 秒的時間內執行。
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)
我的問題是如何設計實體框架查詢，以便生成更干凈、更快速的 SQL。
我知道可以直接查詢數據庫，但我希望類型安全並使用引擎。
我在網上搜索了很多，但找不到符合這種情況的案例。
我希望得到幫助！
1 個解決方案
解決方案1
1 2018-02-13 11:01:16
編寫 LINQ 查詢時需要考慮一些事項。 始終從具有外鍵的實體開始。 進入被引用實體會更快，因為它的主鍵已經被索引。 檢查以下解決方案：
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();
Entity Framework 6 和 SQL Server 在生成 SQL 期間保留關鍵字為小寫
[英]Entity Framework 6 & SQL Server reserved keyword to lowercase during generation of SQL
聲明:本站的技術帖子網頁，遵循CC BY-SA 4.0協議，如果您需要轉載，請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.