Each new version of SQL Server has brought a few new automated performance tools: adaptive joins, adaptive memory grants, interleaved execution for MSTVFs, and “automatic tuning” (which is a laughable name given what the feature actually does.) We’ll talk through what each feature does and what it requires, and you’ll see why it didn’t fix…
1.5 The Tuning Robots in SQL Server 2017, 2019, and 2022
Each new version of SQL Server has brought a few new automated performance tools: adaptive joins, adaptive memory grants, interleaved execution for MSTVFs, and “automatic tuning” (which is a laughable name given what the feature actually does.) We’ll talk through what each feature does and what it requires, and you’ll see why it didn’t fix...
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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
- 1.4 Lab 1 Setup: Improving Estimates
- 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