This time, let’s use Query Store’s Queries with High Variation report to find queries with multiple plans and a high variation of logical reads, then tune the top culprit with other hints that we haven’t used so far, just to keep mixing things up. This one’s pretty short though: it’s an easy fix (and not…
4.5 Tuning usp_RptQuestionsAnsweredForUser
This time, let’s use Query Store’s Queries with High Variation report to find queries with multiple plans and a high variation of logical reads, then tune the top culprit with other hints that we haven’t used so far, just to keep mixing things up. This one’s pretty short though: it’s an easy fix (and not…
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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
- 1.4 Lab 1: Get One Plan to Work Well Enough for Most
- 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
- 4.6 Tuning usp_SearchUsers
- 4.7 Tuning usp_RptPostLeaderboard
- 4.8 Tuning usp_RptAvgAnswerTimeByTag
- 4.9 Tuning usp_GetTagsForUser
- Bonus Lab: Seeing the Effects of SQL Server 2019 Compat Mode
- Bonus: Storytelling Time