首页 \ 问答 \ 多语句表值函数与内联表值函数(Multi-statement Table Valued Function vs Inline Table Valued Function)

多语句表值函数与内联表值函数(Multi-statement Table Valued Function vs Inline Table Valued Function)

几个例子,显示,只是incase:

内联表价值

CREATE FUNCTION MyNS.GetUnshippedOrders()
RETURNS TABLE
AS 
RETURN SELECT a.SaleId, a.CustomerID, b.Qty
    FROM Sales.Sales a INNER JOIN Sales.SaleDetail b
        ON a.SaleId = b.SaleId
        INNER JOIN Production.Product c ON b.ProductID = c.ProductID
    WHERE a.ShipDate IS NULL
GO

多重语句表值

CREATE FUNCTION MyNS.GetLastShipped(@CustomerID INT)
RETURNS @CustomerOrder TABLE
(SaleOrderID    INT         NOT NULL,
CustomerID      INT         NOT NULL,
OrderDate       DATETIME    NOT NULL,
OrderQty        INT         NOT NULL)
AS
BEGIN
    DECLARE @MaxDate DATETIME

    SELECT @MaxDate = MAX(OrderDate)
    FROM Sales.SalesOrderHeader
    WHERE CustomerID = @CustomerID

    INSERT @CustomerOrder
    SELECT a.SalesOrderID, a.CustomerID, a.OrderDate, b.OrderQty
    FROM Sales.SalesOrderHeader a INNER JOIN Sales.SalesOrderHeader b
        ON a.SalesOrderID = b.SalesOrderID
        INNER JOIN Production.Product c ON b.ProductID = c.ProductID
    WHERE a.OrderDate = @MaxDate
        AND a.CustomerID = @CustomerID
    RETURN
END
GO

使用一种类型(在线或多重语句)比其他语言有优势吗? 有一些情况是一个比另一个更好还是纯粹的语法差异? 我意识到两个示例查询正在做不同的事情,但是我有理由以这种方式写出来吗?

阅读他们和优点/差异还没有真正解释。


A few examples to show, just incase:

Inline Table Valued

CREATE FUNCTION MyNS.GetUnshippedOrders()
RETURNS TABLE
AS 
RETURN SELECT a.SaleId, a.CustomerID, b.Qty
    FROM Sales.Sales a INNER JOIN Sales.SaleDetail b
        ON a.SaleId = b.SaleId
        INNER JOIN Production.Product c ON b.ProductID = c.ProductID
    WHERE a.ShipDate IS NULL
GO

Multi Statement Table Valued

CREATE FUNCTION MyNS.GetLastShipped(@CustomerID INT)
RETURNS @CustomerOrder TABLE
(SaleOrderID    INT         NOT NULL,
CustomerID      INT         NOT NULL,
OrderDate       DATETIME    NOT NULL,
OrderQty        INT         NOT NULL)
AS
BEGIN
    DECLARE @MaxDate DATETIME

    SELECT @MaxDate = MAX(OrderDate)
    FROM Sales.SalesOrderHeader
    WHERE CustomerID = @CustomerID

    INSERT @CustomerOrder
    SELECT a.SalesOrderID, a.CustomerID, a.OrderDate, b.OrderQty
    FROM Sales.SalesOrderHeader a INNER JOIN Sales.SalesOrderHeader b
        ON a.SalesOrderID = b.SalesOrderID
        INNER JOIN Production.Product c ON b.ProductID = c.ProductID
    WHERE a.OrderDate = @MaxDate
        AND a.CustomerID = @CustomerID
    RETURN
END
GO

Is there an advantage to using one type (in-line or multi statement) over the other? Is there certain scenarios when one is better than the other or are the differences purely syntactical? I realise the two example queries are doing different things but is there a reason I would write them in that way?

Reading about them and the advantages/differences haven't really been explained.


原文:https://stackoverflow.com/questions/2554333
更新时间:2023-08-23 12:08

最满意答案

我有一个这样的查询与我曾经写过的日历应用程序。 我想我用这样的东西:

... WHERE new_start < existing_end
      AND new_end   > existing_start;

更新这应该是有效的((ns,ne,es,ee)=(new_start,new_end,existing_start,existing_end)):

  1. ns-ne-esee:不重叠并且不匹配(因为ne <es)
  2. ns - es - nee ee:重叠和匹配
  3. es - ns - ee - ne:重叠和匹配
  4. es - ee - ns - ne:不重叠,不匹配(因为ns> ee)
  5. es - ns - nee ee:重叠和匹配
  6. ns - es - ee - ne:重叠和匹配

这是一个小提琴


I had such a query with a calendar application I once wrote. I think I used something like this:

... WHERE new_start < existing_end
      AND new_end   > existing_start;

UPDATE This should definitely work ((ns, ne, es, ee) = (new_start, new_end, existing_start, existing_end)):

  1. ns - ne - es - ee: doesn't overlap and doesn't match (because ne < es)
  2. ns - es - ne - ee: overlaps and matches
  3. es - ns - ee - ne: overlaps and matches
  4. es - ee - ns - ne: doesn't overlap and doesn't match (because ns > ee)
  5. es - ns - ne - ee: overlaps and matches
  6. ns - es - ee - ne: overlaps and matches

Here is a fiddle

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