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Build Your Own Database From Scratch

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Build Your Own Database From Scratch

Persistence, Indexing, Concurrency

James Smith

Introduction

Databases are not black boxes. Understand them by building your own from scratch!

This book contains a walk-through of a minimal persistent database implementation. The implementation is incremental. We start with a B-Tree, then add a new concept with each chapter, and eventually go from a simple KV to a mini relational DB.

Although the book is short and the implementation is minimal, it aims to cover three important topics:

  1. Persistence. How not to lose or corrupt your data. Recovering from a crash.
  2. Indexing. Efficiently querying and manipulating your data. (B-tree).
  3. Concurrency. How to handle multiple (large number of) clients. And transactions.

Contents

Part I: Simple KV Store (Completed)

  1. Introduction
  2. Files vs Databases
  3. Indexing
  4. B-Tree: The Ideas
  5. B-Tree: The Practice (Part I)
  6. B-Tree: The Practice (Part II)
  7. Persist to Disk
  8. Free List: Reusing Pages

Part II: Mini Relational DB (Work in Progress)

  1. Rows and Columns
  2. Range Query
  3. Secondary Index
  4. Transactions
  5. Concurrent Readers and Writers
  6. Query Language

Work in Progress…

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See also:
codecrafters.io offers “Build Your Own X” courses in many programming languages.
Including Redis, Git, SQLite, Docker, and more.
Check it out

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