I’ve grown up reading Tom Clancy and probably most of you have at least seen Red October, so this book caught my eye when browsing used books for a recent trip. It’s a fairly human look at what’s involved in sailing on a Trident missile submarine…
Last month I presented a session in the wonderful GroupBy online conference about SQL Server parameterization. The title of the session was “How to Use Parameters Like a Pro and Boost Performance”.
Here is the abstract:
“Parameters are a fundamental part of T-SQL programming, whether they are used in stored procedures, in dynamic statements or in ad-hoc queries. Although widely used, most people aren’t aware of the crucial influence they have on query performance. In fact, wrong use of parameters is one of the common reasons for poor application performance.
Does your query sometimes run fast and sometimes slow – even when nothing’s changed? Did it happen to you that a stored procedure, which had always been running for less than a second, suddenly started to run for more than 5 seconds consistently – even when nothing had changed?
In this session we will learn about plan caching and how the query optimizer handles parameters. We will talk about the pros and cons of parameter sniffing (don’t worry if you don’t know what that means) as well as about simple vs. forced parameterization. But most important – we will learn how to identify performance problems caused by poor parameter handling, and we will also learn many techniques for solving these problems and boosting your application performance.”
If you are a developer writing code in SQL Server or if you are a SQL Server administrator, then this session is a must for you (that is, if you care about performance). You can watch the recording of the session here, and you can download all the session materials here.
I also wrote a complete series of blog posts about SQL Server Parameterization, which I recommend you to read:
- Plan Caching
- Seven Ways to Execute Your Query
- Parameter Sniffing
- Handling Non-Uniform Data Distribution
- Two Common Mistakes
- Simple vs. Forced Parameterization
Happy performance tuning!