Build Your Own Database From Scratch
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Build Your Own Database From Scratch

Persistence, Indexing, Concurrency

About the Book

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 covers 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.

You may also like my other book: Build Your Own Redis.

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About the Author

Educational software development materials.

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Build Your Own Redis

Build Your Own Database

From Source Code To Machine Code


The Book
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  • EPUB

  • English

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The Book + Golang code

The book and Golang source code corresponding to each of the chapters in the book.


  • extras
    Code samples in Golang
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  • English

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Table of Contents

Part I: Simple KV Store

    Files vs Databases
    B-Tree: The Ideas
    B-Tree: The Practice (Part I)
    B-Tree: The Practice (Part II)
    Persist to Disk
    Free List: Reusing Pages

Part II: Mini Relational DB

    Rows and Columns
    Range Query
    Secondary Index
    Atomic Transactions
    Concurrent Readers and Writers
    Query Language: Parser
    Query Language: Execution

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