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Introduction
Performance is a hot issue on a lot of database implementations. Many businesses run
into performance-related issues when their databases experience more load or grow
larger in size. There are many methods available for increasing the performance of your
SQL Server(s) on all types of levels. Many of these performance-optimization methods we
consider best-practice, like running index maintenance to make sure fragmented indexes
don’t slow down your queries, or updating statistics so the SQL Server Database Engine
has the correct information to generate a good execution plan. Besides these database
maintenance methods, you can also choose to dive a little bit deeper into specific query
performance troubleshooting, optimizing queries by making sure expensive operators
are replaced by less expensive ones, for instance. And of course there is always the
“sledgehammer” approach, replacing your current hardware for newer, better performing
hardware, hoping that will solve the performance issues you are experiencing.
No matter what approach you choose to optimize or troubleshoot SQL Server
performance, there are always two common resources involved: time and money. Ideally
we want to spend as little time and money as possible while we are working on increasing
performance. Knowing where to focus your time and money is very important. If you can
find the source of the performance problem and resolve it at that level, you can save a lot
of time and money that you would have spent on analyzing symptoms.
In a way, we can compare our search for the heart of our performance issues with a
medical examination. Instead of giving out different types of medication until something
actually works, a physician is always trying to find the source of the problem so he or she
can prescribe the right medication that works best for that specific condition without
causing side effects. The same approach works for SQL Server. Implementing all types
of possible solutions without looking at the real source of the problem will probably
not solve the real underlying issue (unless you’re really lucky) and can possibly make
matters worse.
This is where Wait Statistics can help. Wait Statistics are generated and
maintained at the heart of the SQL Server Database Engine where queries are being
executed, giving valuable insight into what is slowing down your queries. There are 771
different types of Wait Statistics in the latest edition of SQL Server (SQL Server 2014),
and with every edition that number grows as new features are introduced or existing
features are modified or expanded. That is a lot of information that is freely available to
help you troubleshoot!
This book is my attempt to help you understand SQL Server Wait Statistics. It will go
into detail how Wait Statistics are being generated and how you can use that information
to optimize, or troubleshoot, the performance of your SQL Server installation. I will also
describe specific Wait Statistics and give you pointers on how you can resolve problems
yourself. In the case of this book, I personally believe the journey is more important than
reaching the destination. For that reason, I spend more time describing and explaining
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