Performance Impacts of Scalar Functions
By Tom Nonmacher
Scalar functions in SQL Server can have a significant impact on the performance of your database operations. They are a type of function that return a single value, rather than a table. This can be useful in certain situations, but it also has some drawbacks.
Scalar functions in SQL Server 2016 and 2017, MySQL 5.7, DB2 11.1, and Azure SQL are known to cause query performance issues because they are executed once for each row of data. This means that if your query returns a large number of rows, the scalar function will be executed that many times, which can slow down your query considerably.
Consider this T-SQL example:
SELECT CustomerID, OrderID, OrderDate, dbo.GetOrderTotal(OrderID) AS OrderTotal
FROM Sales.Orders
WHERE dbo.GetOrderTotal(OrderID) > 100;
One way to improve the performance of queries that include scalar functions is to use a derived table or a common table expression (CTE) to avoid calling the function multiple times. Here's an example in MySQL:
WITH OrderTotals AS (
SELECT OrderID, GetOrderTotal(OrderID) AS OrderTotal
FROM Orders)
SELECT CustomerID, OrderID, OrderDate, OrderTotal
FROM Sales.Orders
JOIN OrderTotals ON Sales.Orders.OrderID = OrderTotals.OrderID
WHERE OrderTotal > 100;
In DB2 11.1, you can use the MATERIALIZE function hint to force the evaluation of scalar functions only once per row, which can improve performance as shown in the following example:
SELECT CustomerID, OrderID, OrderDate, GetOrderTotal(OrderID) AS OrderTotal
FROM Sales.Orders
WHERE MATERIALIZE(GetOrderTotal(OrderID)) > 100;
In Azure SQL, you can use the APPLY operator to reduce the number of times a scalar function is called in a query. Here's an example:
SELECT CustomerID, OrderID, OrderDate, OrderTotal
FROM Sales.Orders
CROSS APPLY (SELECT dbo.GetOrderTotal(OrderID) AS OrderTotal) AS OT
WHERE OrderTotal > 100;
Scalar functions can be a powerful tool in your SQL arsenal, but like any tool, they need to be used appropriately. By understanding how scalar functions work and how they can impact performance, you can make better decisions about when and how to use them.
Check out the latest articles from all our sites:
- How to Take Advantage of Flash Sales at Grocery Stores [https://www.ethrift.net]
- A brief history of the Galveston Hurricane of 1900 [https://www.galvestonbeachy.com]
- How to Plant and Maintain Chokeberry Bushes [https://www.gardenhomes.org]
- New Query Store Enhancements in SQL Server 2022 [https://www.sqlsupport.org]
- Heat: Why My Laptop Is Cooking My Lap [https://www.SupportMyPC.com]
- The Best Months to Visit South Korea for Cherry Blossoms and Fall Colors [https://www.treasureholidays.com]
Privacy Policy for sqlsupport.org
Last updated: Feb 03, 2026
sqlsupport.org respects your privacy and is committed to protecting any personal information you may provide while using this website.
This Privacy Policy document outlines the types of information that are collected and recorded by sqlsupport.org and how we use it.
Information We Collect
- Internet Protocol (IP) addresses
- Browser type and version
- Pages visited
- Time and date of visits
- Referring URLs
- Device type
Cookies and Web Beacons
sqlsupport.org uses cookies to store information about visitors preferences and to optimize the users experience.
How We Use Your Information
- Operate and maintain our website
- Improve user experience
- Analyze traffic patterns
- Prevent fraudulent activity
Contact
Email: admin@sqlsupport.org