Chapter 1: B-Tree and B+Tree â The Mathematical Skeleton of Indexes
Published: Thu Feb 05 2026
A deep dive into the mathematical definitions of B-Tree and B+Tree, disk I/O efficiency, and their central role in database indexing.
Deep Dive: Database Internals
A technical series exploring the storage engines, indexing structures, and query optimization logic that power modern databases.
Covers B+Trees, LSM-Trees, MVCC, and real-world failure analysis.
Chapter 2: The LSM-Tree â The Engine for Write-Intensive Systems
Published: Thu Feb 05 2026
An in-depth analysis of Log-Structured Merge-Tree core mechanisms: MemTable, SSTable, and Compaction, and how it transforms random writes into sequential ones.
Chapter 3: Clustered vs. Non-Clustered Indexes â The Physical Map of Data
Published: Thu Feb 05 2026
An analysis of physical data storage strategies and the performance impact of "Bookmark Lookups" (Double Lookups).
Chapter 4: Query Execution & The Optimizer â The Database Brain
Published: Thu Feb 05 2026
An analysis of how Cost-Based Optimizers (CBO) determine execution paths and why stale statistics can lead to disastrous full table scans.
Chapter 5: Concurrency Control (MVCC & Locks) â Magic of Parallel Universes
Published: Thu Feb 05 2026
An in-depth look at Multi-Version Concurrency Control (MVCC), explaining how it achieves "Readers don't block Writers" and the internals of isolation levels.
Chapter 6: Case Studies â Database Internals in the Wild
Published: Thu Feb 05 2026
From Sentry to Shopify, a deep dive into three real-world database disasters triggered by internal mechanisms and their ultimate architectural resolutions.