Adam Machanic
sqlblog.com
Adam Machanic focuses on large-scale data warehouse performance and development. He is author of sp_whoisactive, has written numerous books, and has been a SQL Server MVP since 2004.
SQLBits 2012
Query Tuning Mastery: The Art of Manhandling Parallelism
Are your big queries using every available clock tick, or are they lagging behind? And if your queries are already going parallel, can they be rewritten for even greater speed? In this session you will learn how to take full advantage of parallelism.
As a database developer, your job boils down to one word: performance. And in today's multi-core-driven world, query performance is very much determined by how well you're taking advantage of the processing power at your disposal. Are your big queries using every available clock tick, or are they lagging behind? And if your queries are already going parallel, can they be rewritten for even greater speed? In this session you will learn how to take full advantage of parallelism, from a developer's point of view. After a quick terminology review and technology refresher the session will go deep, covering T-SQL patterns that allow certain queries to scale almost linearly across your multi-core CPUs. Alas, not all T-SQL queries can go parallel, so you will also learn to watch for those things that can restrict the query optimizer's decisions. Along the way you’ll learn to manipulate costs and row goals, challenge generally accepted tuning practices, and take complete control of your parallel queries.