In Fundamentals of Query Tuning, we talked about how if you’re unhappy with a query’s performance, read the plan from right to left, top to bottom, looking for the place where estimates versus actual went to hell in a handbasket. Now, let’s dig deeper into how estimates are created, and how they go wrong. In…
1.2 When the Architect Gets an Early Estimate Wrong
In Fundamentals of Query Tuning, we talked about how if you’re unhappy with a query’s performance, read the plan from right to left, top to bottom, looking for the place where estimates versus actual went to hell in a handbasket. Now, let’s dig deeper into how estimates are created, and how they go wrong. In...
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- 0.1 Prerequisites Before the Class (59 min)
- 0.2 Download the Slides and Scripts
- 1.1 How SQL Server Builds Query Plans
- 1.3 When the Architect Gets a Late Estimate Wrong
- 1.4 Lab 1 Setup: Improving Estimates
- 1.5 The Tuning Robots in SQL Server 2017, 2019, and 2022
- 1.6 Lab 2 Setup: Analyzing a Running Workload
- 2.1 Tuning for SELECT * and Lots of Rows
- 2.2 User-Defined Functions
- 2.3 Lab 3 Setup: Changing Results and Parameters
- 2.4 Dynamic SQL Pro Tips
- 2.5 Lab 4 Setup: Advanced Rewrites
- 3.1 How Parallelism Balances Work Across Threads
- 3.2 Avoiding Deadlocks
- 3.3 Using Batches to Do a Lot of Work Without Blocking
- 4.1 Lab 5 Setup: The Final Lab
- 4.2 Final Lab: Index Tuning
- 4.3a Final Lab: usp_Q1080
- 4.3a Final Lab: usp_Q6627
- 4.3a Final Lab: usp_Q8116
- 4.3a Final Lab: usp_Report3
- 4.3b Final Lab: Logging sp_BlitzCache to a Table
- 4.3c Final Lab: usp_Q7521
- 4.3e Final Lab: usp_FindRelatedPosts
- 4.3f Final Lab: usp_Q6627, Take 2
- Bonus: Storytelling Time