In most cases, when you tune an existing database, it’ll already have clustered indexes. However, we need to talk about what happens when it doesn’t: should you design a clustered index for it, or leave it as a heap? This lecture & demos explains the problems with wide clustering keys, show why IDENTITY fields are…
3.1 The D.E.A.T.H. Method – Heaps and Clustered Indexes
In most cases, when you tune an existing database, it’ll already have clustered indexes. However, we need to talk about what happens when it doesn’t: should you design a clustered index for it, or leave it as a heap? This lecture & demos explains the problems with wide clustering keys, show why IDENTITY fields are...
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- 0.1 Prerequisites Before the Class (~4 hours)
- 1.2 The D.E.A.T.H. Method: Dedupe and Eliminate
- 1.3 D.E. Tools and Their Weaknesses
- 1.4 Lab 1 Setup: Dedupe and Eliminate
- 1.4b Lab 1: Dedupe and Eliminate – Brent Does It
- 1.5 The D.E.A.T.H. Method: Tuning Indexes for Specific Queries
- 1.6 Lab 2 Setup: Tuning Indexes for Specific Queries
- 1.7 Lab 2: Tuning Indexes for Specific Queries – Brent Does It
- 2.1 Adding Indexes with the DMVs
- 2.2 Tuning to Avoid Key Lookups and Residual Predicates
- 2.3 Lab 3 Setup: Adding Indexes with Clippy and the DMVs
- 2.3b Lab 3: Adding Indexes with Clippy and the DMVs – Brent Does It
- 2.4 Tuning Indexes to Avoid Blocking
- 2.5 Lab 4 Setup: Solving Blocking with Indexes
- 2.6 Lab 4: Solving Blocking with Indexes – Brent Does It
- 3.2 Filtered Indexes, Indexed Views, and Computed Columns
- 3.3 Lab 5 Setup: Leveraging Artisanal Indexes
- 3.3b Lab 5: Leveraging Artisanal Indexes – Brent Does It
- 3.4 Foreign Key and Check Constraints
- 3.5 Tips from the Index Sommelier
- 3.6 Lab 6 Setup and Final Lessons
- 3.7 Lab 6: Doing the D.E.A.
- 3.8 Lab 6: Tuning Indexes for Specific Queries
- About the Lab Exercises
- Bonus: Storytelling Time