Building a database engine
A book that shows how to build a database storage engine
Listed in categories:
Education
Description
This ebook guides you through the process of building your own database engine from scratch, providing insights into how real database engines operate. It covers essential concepts such as data storage, indexing, and fault tolerance, making complex topics accessible to developers of all levels.
How to use Building a database engine?
To use this ebook, follow the structured chapters that guide you through building a database engine step-by-step. Each chapter builds on the previous one, introducing new concepts and practical implementations in Golang.
Core features of Building a database engine:
1️⃣
Storage layer: Learn how database engines store data using TLV encoded binary files.
2️⃣
Write-Ahead Logging (WAL): Implement fault tolerance in your database engine.
3️⃣
Data pages: Utilize 4KB data pages with an LRU-backed buffer pool for efficient data access.
4️⃣
Indexes: Build BTree and hash-based indexes for fast lookups.
5️⃣
Buffer pool: Cache query results to improve performance.
Why could be used Building a database engine?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Developers looking to deepen their understanding of database internals. | ✅ | |
| # 2 | Software engineers aiming to enhance their skills in systems architecture. | ✅ | |
| # 3 | Students and professionals preparing for technical interviews in software development. | ✅ | |
Who developed Building a database engine?
Martin Joo is a software engineer with a passion for databases, particularly MySQL. With over a decade of experience, he aims to demystify database engines for developers and provide practical knowledge through his writing.