Table-Valued Functions: Inline vs. Multi-Statement – A Performance Analysis
Selecting between inline and multi-statement Table-Valued Functions (TVFs) significantly impacts query performance. This comparison highlights the key differences and provides guidance on optimal usage.
Inline Table-Valued Functions (ITVF)
ITVF's, similar to views, leverage real-time table structures and statistics, often leading to superior execution plans. Here's an example:
<code class="language-sql">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</code>
Multi-Statement Table-Valued Functions (MSTVF)
MSTVFs utilize a pre-defined table structure and lack access to real-time statistics. Their structure differs as follows:
<code class="language-sql">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</code>
Performance Considerations
Generally, ITVFs outperform MSTVFs because of their ability to leverage real-time statistics. However, MSTVFs might be more efficient for complex operations not easily implemented within an ITVF.
When to Use Which Function Type
Choose ITVFs when:
Choose MSTVFs when:
Conclusion
The optimal choice between ITVF and MSTVF depends entirely on the specific task. However, ITVFs are generally preferred for their performance advantages and better utilization of database statistics.
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