运行速度非常慢

问题描述 投票：0回答：1

我使用 Dapper 从下面的代码中获取数据

   ` public List<dynamic> Search_Material_Issue_Voucher()
    {
        try
        {
            var connection = _context.Database.Connection;

            if (connection.State != ConnectionState.Open)
            {
                connection.Open();
            }

            string storedProcedure = "[dbo].[Search_Material_Issue_Voucher]";

            var searchitems = connection.Query<dynamic>(
                storedProcedure,
                commandType: CommandType.StoredProcedure).ToList();

            return searchitems;
        }
        catch (Exception ex)
        {
            Console.WriteLine($"Error: {ex.Message}");
            throw;
        }
    }


USE [AWSdb]
GO
/****** Object:  StoredProcedure [dbo].[Search_Material_Issue_Voucher]    Script Date: 2/21/2024 7:37:29 AM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
ALTER PROCEDURE [dbo].[Search_Material_Issue_Voucher]
AS
BEGIN
SELECT 
    ROW_NUMBER() OVER (ORDER BY pl.PLName, p.PK, Items.ItemOfPk ASC) AS RowNumber,
    p.ArrivalDate,
    pl.Project,
    po.PoName AS Po,
    v.VendorName AS Vendor,
    Items.ItemId,
    pl.PLName,
    p.PK,
    Items.ItemOfPk,
    Items.Tag,
    Items.Description,
    Units.UnitName AS Unit,
    ISNULL(SUM(Items.Qty), 0) AS QtyPL,
    ISNULL(SUM(li.QtyInLoc), 0) - ISNULL(SUM(req.TotalReserveMivQty), 0) - ISNULL(SUM(req.TotalDelMivQty), 0) - ISNULL(SUM(li.NISQty), 0) - ISNULL(SUM(li.RejectQty), 0) + ISNULL(SUM(req_mrv.TotalReturnAcceptQty * -1), 0) AS Balance,
    ISNULL(SUM(li.QtyInLoc), 0) - ISNULL(SUM(req.TotalDelMivQty), 0) - ISNULL(SUM(li.NISQty), 0) - ISNULL(SUM(li.RejectQty), 0) + ISNULL(SUM(req_mrv.TotalReturnAcceptQty * -1), 0) AS Inventory,
    d.DesciplineName AS Discipline,
    Scopes.ScopeName AS Scope,
    Items.HeatNo,
    Items.BatchNo,
    Items.Remark,
    Items.Hold
FROM
    Items
INNER JOIN Scopes ON Items.ScopeID = Scopes.ScopeID
INNER JOIN Units ON Items.UnitID = Units.UnitID
LEFT OUTER JOIN LocItems AS li ON Items.ItemId = li.ItemId
LEFT OUTER JOIN dbo.ufn_Request_GetBy_LocItemID() AS req ON li.LocItemID = req.LocItemID
LEFT OUTER JOIN dbo.ufn_RequestMRvHmv_GetBy_LocItemID() AS req_mrv ON li.LocItemID = req_mrv.LocItemID
LEFT OUTER JOIN Packages AS p ON Items.PKID = p.PKID
LEFT OUTER JOIN PackingLists AS pl ON p.PLId = pl.PLId
LEFT OUTER JOIN Desciplines AS d ON pl.DesciplineId = d.DesciplineId
LEFT OUTER JOIN Poes AS po ON pl.PoId = po.PoId
LEFT OUTER JOIN Vendors AS v ON pl.VendorId = v.VendorID
GROUP BY 
    p.ArrivalDate,
    pl.Project,
    po.PoName,
    v.VendorName,
    Items.ItemId,
    pl.PLName,
    p.PK,
    Items.ItemOfPk,
    Items.Tag,
    Items.Description,
    Units.UnitName,
    Scopes.ScopeName,
    Items.HeatNo,
    Items.BatchNo,
    Items.Remark,
    Items.Hold,
    d.DesciplineName
HAVING 
    ISNULL(SUM(li.QtyInLoc), 0) - ISNULL(SUM(req.TotalReserveMivQty), 0) - ISNULL(SUM(req.TotalDelMivQty), 0) - ISNULL(SUM(li.NISQty), 0) - ISNULL(SUM(li.RejectQty), 0) + ISNULL(SUM(req_mrv.TotalReturnAcceptQty * -1), 0) > 0

  -- Ensure index exists on relevant columns:
    -- CREATE INDEX IX_Items_ItemId ON Items (ItemId);
    -- CREATE INDEX IX_LocItems_ItemId ON LocItems (ItemId);
    -- CREATE INDEX IX_Packages_PKID ON Packages (PKID);
    -- CREATE INDEX IX_PackingLists_PLId ON PackingLists (PLId);
    -- CREATE INDEX IX_Scopes_ScopeID ON Scopes (ScopeID);
    -- CREATE INDEX IX_Units_UnitID ON Units (UnitID);
    -- CREATE INDEX IX_Poes_PoId ON Poes (PoId);
    -- CREATE INDEX IX_Vendors_VendorID ON Vendors (VendorID);
    -- CREATE INDEX IX_Desciplines_DesciplineId ON Desciplines (DesciplineId);
    -- CREATE INDEX IX_Req_LocItemID ON Requests (LocItemID);
    -- CREATE INDEX IX_ReqMRvHmv_LocItemID ON RequestMRvHmv (LocItemID);

END
`

我需要它运行得更快，我使用 C# 和常规非核心实体框架，并使用 dapper 捕获数据并将其放入 gridcontrol 中，我不知道为什么它这么慢，我的数据库中没有很多数据我也使用 chatgpt 但我找不到任何东西，chatgpt 说可能是因为你的代码中有我评论也有但仍然运行得很慢

c# entity-framework dapper
1个回答
0
投票

几点提示：

连接是非托管资源，因此您最好将其包装在 

using
中，例如。

using (SqlConnection connection = new SqlConnection(connectionString))
{
    connection.Open();

您的 SQL 在 LEFT OUTER JOIN 条件下效率非常低。您可以使用公共表表达式 (CTE) 来预先计算这些值，然后与它们连接，而不是在 LEFT OUTER JOIN 条件中使用标量函数

如果可能，尽量避免在 HAVING 子句中使用聚合函数。相反，请将逻辑移至 SELECT 子句或在分组之前使用子查询来过滤结果。

WITH RequestData AS (
    SELECT 
        li.LocItemID,
        SUM(req.TotalReserveMivQty) AS TotalReserveMivQty,
        SUM(req.TotalDelMivQty) AS TotalDelMivQty,
        SUM(li.NISQty) AS NISQty,
        SUM(li.RejectQty) AS RejectQty,
        SUM(req_mrv.TotalReturnAcceptQty * -1) AS TotalReturnAcceptQty
    FROM 
        LocItems AS li
    LEFT OUTER JOIN dbo.ufn_Request_GetBy_LocItemID() AS req ON li.LocItemID = req.LocItemID
    LEFT OUTER JOIN dbo.ufn_RequestMRvHmv_GetBy_LocItemID() AS req_mrv ON li.LocItemID = req_mrv.LocItemID
    GROUP BY 
        li.LocItemID
),
FilteredItems AS (
    SELECT 
        Items.ItemId,
        Items.ScopeID,
        Items.UnitID,
        Items.PKID,
        Items.Tag,
        Items.Description,
        Items.HeatNo,
        Items.BatchNo,
        Items.Remark,
        Items.Hold,
        ISNULL(SUM(li.QtyInLoc), 0) - ISNULL(SUM(rd.TotalReserveMivQty), 0) - ISNULL(SUM(rd.TotalDelMivQty), 0) - ISNULL(SUM(li.NISQty), 0) - ISNULL(SUM(li.RejectQty), 0) + ISNULL(SUM(rd.TotalReturnAcceptQty), 0) AS Balance,
        ISNULL(SUM(li.QtyInLoc), 0) - ISNULL(SUM(rd.TotalDelMivQty), 0) - ISNULL(SUM(li.NISQty), 0) - ISNULL(SUM(li.RejectQty), 0) + ISNULL(SUM(rd.TotalReturnAcceptQty), 0) AS Inventory
    FROM 
        Items
    LEFT OUTER JOIN LocItems AS li ON Items.ItemId = li.ItemId
    LEFT OUTER JOIN RequestData AS rd ON li.LocItemID = rd.LocItemID
    GROUP BY 
        Items.ItemId,
        Items.ScopeID,
        Items.UnitID,
        Items.PKID,
        Items.Tag,
        Items.Description,
        Items.HeatNo,
        Items.BatchNo,
        Items.Remark,
        Items.Hold
    HAVING 
        ISNULL(SUM(li.QtyInLoc), 0) - ISNULL(SUM(rd.TotalReserveMivQty), 0) - ISNULL(SUM(rd.TotalDelMivQty), 0) - ISNULL(SUM(li.NISQty), 0) - ISNULL(SUM(li.RejectQty), 0) + ISNULL(SUM(rd.TotalReturnAcceptQty), 0) > 0
)
SELECT 
    ROW_NUMBER() OVER (ORDER BY pl.PLName, p.PK, Items.ItemOfPk ASC) AS RowNumber,
    p.ArrivalDate,
    pl.Project,
    po.PoName AS Po,
    v.VendorName AS Vendor,
    Items.ItemId,
    pl.PLName,
    p.PK,
    Items.ItemOfPk,
    Items.Tag,
    Items.Description,
    Units.UnitName AS Unit,
    ISNULL(SUM(Items.Qty), 0) AS QtyPL,
    fi.Balance,
    fi.Inventory,
    d.DesciplineName AS Discipline,
    Scopes.ScopeName AS Scope,
    Items.HeatNo,
    Items.BatchNo,
    Items.Remark,
    Items.Hold
FROM 
    FilteredItems AS fi
INNER JOIN Items ON fi.ItemId = Items.ItemId
INNER JOIN Scopes ON Items.ScopeID = Scopes.ScopeID
INNER JOIN Units ON Items.UnitID = Units.UnitID
LEFT OUTER JOIN Packages AS p ON Items.PKID = p.PKID
LEFT OUTER JOIN PackingLists AS pl ON p.PLId = pl.PLId
LEFT OUTER JOIN Desciplines AS d ON pl.DesciplineId = d.DesciplineId
LEFT OUTER JOIN Poes AS po ON pl.PoId = po.PoId
LEFT OUTER JOIN Vendors AS v ON pl.VendorId = v.VendorID
GROUP BY 
    p.ArrivalDate,
    pl.Project,
    po.PoName,
    v.VendorName,
    Items.ItemId,
    pl.PLName,
    p.PK,
    Items.ItemOfPk,
    Items.Tag,
    Items.Description,
    Units.UnitName,
    Scopes.ScopeName,
    Items.HeatNo,
    Items.BatchNo,
    Items.Remark,
    Items.Hold,
    d.DesciplineName;
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