Database Internals: A Deep Dive into How Distributed Data Systems Work, 1st Edition
- 12h 51m 23s
- Alex Petrov
- Gildan Media
- 2022
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
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
About the Author
Alex Petrov is a data infrastructure engineer, database and storage systems enthusiast, Apache Cassandra committer and PMC member, interested in storage, distributed systems and algorithms.
In this Audiobook
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Chapter 1 - Introduction and Overview
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Chapter 2 - B-Tree Basics
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Chapter 3 - File Formats
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Chapter 4 - Implementing B-Trees
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Chapter 5 - Transaction Processing and Recovery
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Chapter 6 - B-Tree Variants
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Chapter 7 - Log-Structured Storage
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Part I Conclusion
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Chapter 8 - Introduction and Overview
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Chapter 9 - Failure Detection
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Chapter 10 - Leader Election
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Chapter 11 - Replication and Consistency
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Chapter 12 - Anti-Entropy and Dissemination
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Chapter 13 - Distributed Transactions
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Chapter 14 - Consensus
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Part II Conclusion
