Now, it’s your turn: we let you loose in the lab and point you at a series of queries that are getting bad cardinality estimates. You need to change the query or the database to improve the estimates – or do you? Some of these queries might be getting bad estimates, but it’s not affecting…
1.4 Lab 1 Setup: Improving Estimates
Now, it’s your turn: we let you loose in the lab and point you at a series of queries that are getting bad cardinality estimates. You need to change the query or the database to improve the estimates – or do you? Some of these queries might be getting bad estimates, but it’s not affecting…
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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
- 1.2 When the Architect Gets an Early Estimate Wrong
- 1.3 When the Architect Gets a Late Estimate Wrong
- 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