This morning, we’ve been looking at index tuning and query hints as ways to get one plan that works well enough for most people – not necessarily perfect for everyone, but just an acceptable number. Restore your Stack Overflow database to the starting point where you have the necessary indexes, then run the lab setup script at…
1.4 Lab 1: Get One Plan to Work Well Enough for Most
This morning, we’ve been looking at index tuning and query hints as ways to get one plan that works well enough for most people – not necessarily perfect for everyone, but just an acceptable number. Restore your Stack Overflow database to the starting point where you have the necessary indexes, then run the lab setup script at...
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- 0.1 Prerequisites Before the Class
- 0.2 Download the Slides and Scripts
- 1.1 How Index Tuning Reduces the Stench
- 1.2 How Query Hints Reduce the Stench
- 1.3 The Drawbacks of Using Recompile Hints
- 1.5 Bad Branching Causes Sniffing, Good Branching Reduces It
- 1.6 Lab 2: Reducing Sniffing by Caching Multiple Plans
- 2.1 Spotting Wild Variations in the Plan Cache
- 2.2 How Freeing the Plan Cache Reduces the Blast Radius: usp_PlanCacheAutopilot
- 2.3 Tracking Even More Plan Cache Details with Query Store
- 2.4 Lab 3: Track Down Plans & Parameters
- 3.1 How Memory Grant Feedback Multiplies Parameter Sniffing
- 3.2 How Adaptive Joins Help, and How to Get Them
- 3.3 How Automatic Tuning Mitigates Parameter Sniffing
- 4.1 Lab 4 Setup: Fixing the Problems You’ve Been Tracking Down
- 4.2 Tuning usp_SearchPostsByPostType
- 4.3 Tuning usp_RptFastestAnswers
- 4.4 Tuning usp_SearchPostsByLocation
- 4.5 Tuning usp_RptQuestionsAnsweredForUser
- 4.6 Tuning usp_SearchUsers
- 4.7 Tuning usp_RptPostLeaderboard
- 4.8 Tuning usp_RptAvgAnswerTimeByTag
- Bonus Lab: Seeing the Effects of SQL Server 2019 Compat Mode
- Bonus: Storytelling Time