Database Internals: A Deep-Dive into How Distributed Data Systems Work

Throughout the book, you'll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You'll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed.

This book examines:

• Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each

• Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log

• Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns

• Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency

Alex Petrov is a data infrastructure engineer, database and storage systems enthusiast, Apache Cassandra committer, and PMC member. How expertise is in storage, distributed systems, and algorithms.