Query Tuning Mastery: Workspace Memory Internals
As SQL Server professionals, we often think of memory in vague, instance-level terms: buffer pool, procedure cache, Virtual Address Space, and so on. But certain tasks require a more in-depth focus, and query tuning is one of them. Large, complex queries need memory in which to work--workspace memory--and understanding the how's, when's, and why's of this memory can help you create queries that run in seconds rather than minutes. This session will give you an in-depth understanding of how the optimizer makes its query memory decisions, with lots of tips and tricks along the way to help you guide the process for top performance. If you work with large queries and are serious about achieving scalability and consistently great performance, you owe it to yourself to attend this session.
Adam Machanic is a Boston-based independent database consultant, writer, and speaker. He has been involved in dozens of SQL Server implementations for both high-availability OLTP and large-scale data warehouse applications, and has optimized data access layer performance for several data-intensive applications. Adam has written for numerous web sites and magazines, including SQLblog, Simple Talk, Search SQL Server, SQL Server Professional, CoDe, and VSJ. He has also contributed to several books on SQL Server, including "SQL Server 2008 Internals" (Microsoft Press, 2009) and "Expert SQL Server 2005 Development" (Apress, 2007). Adam regularly speaks at user groups, community events, and conferences on a variety of SQL Server and .NET-related topics. He is a Microsoft Most Valuable Professional (MVP) for SQL Server, Microsoft Certified IT Professional (MCITP), and a former member of the INETA North American Speakers Bureau.
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