The document highlights a presentation by Mike, a principal DBA, on optimizing SQL queries, discussing key concepts like indexes, query plans, and best practices. It emphasizes the importance of understanding performance issues and testing scenarios thoroughly before concluding code efficiency. Additionally, it aims to foster collaboration and improve communication among DBAs while providing resources for further learning.

1. You Can Tune Your Own CodeSQL Saturday #33 Charlotte

2. Who Is Mike?10 years with SQLDBA roles of various sortsBlog: www.straightpathsql.com/Syndicated at SQLServerPediaFull Time – Principal DBA at global insurance company.“Spare” Time – Consult for SQL Administration and Performance IssuesPresident of new “Seacoast SQL” PASS Chapter

3. Who Are You?

4. “Why is this so slow?!”“It worked fine in dev!” “The results came back fine… I’m done”

5. What Aren’t We Covering?

6. “Can’t you just make itfaster?!”http://www.flickr.com/photos/irinaslutsky/4000761728/

7. www.flickr.com/photos/no3rdw/170950846/

8. http://www.flickr.com/photos/dullhunk/359634390/www.flickr.com/photos/no3rdw/170950846/

9. AgendaTips For Slow Queries

10. The Right Mindset & Some Best Practices

11. Indexes & Statistics (Building Blocks)

12. Query Plans (Not So Scary)

13. SQL Profiler (Don’t tell my DBA friends..)

14. Put it all together and CLAP

15. DBAs don’t mean to be so mean**Maybe we do…, but let’s work it out

16. Goal 1You will leave using the concepts we discuss.

17. Goal 2You won’t ever say, “done” until you know your codePERFORMS

18. Goal 3“Can’t we all just get along??!”

19. Tips For Making Queries Slow

21. Right Mindset

22. Right MindsetSQL Is Declarative

23. Work With Sets

24. Watch Transaction Footprint

25. Join Where Necessary

26. Remember: Disk – Memory – Query

27. Smaller Sets ASAP

28. Work with the columns you need“Should I split this up?”“Should I use -that- view?” “How Many Reads Am I doing?”“What will happen in 1 year?”“How many rows are affected by that operation?”

29. How Are You Proving Your Code?Working with representative volume?

30. Testing various scenarios?

31. Before/After Testing?

32. Using Empirical Evidence?

33. Look and Feel with a Stop Watch???Indexes

34. What Are Indexes?Pointers To Data

35. B-Tree Structures

36. Sometimes – Hero Makers

37. Sometimes – FrustrationsClustered IndexesLeaf Level Is The Data

38. Narrower Is Better

39. Ever-Increasing

40. Order By