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Getting Started with CockroachDB

You're reading from Getting Started with CockroachDB A guide to using a modern, cloud-native, and distributed SQL database for your data-intensive apps

Product type Paperback

Published in Mar 2022

Publisher Packt

ISBN-13 9781800560659

Length 246 pages

Edition 1st Edition

Languages

SQL

Tools

CockroachDB

Concepts

Databases

Author (1):

Kishen Das Kondabagilu Rajanna

View More author details

Table of Contents (17) Chapters

Preface

1. Section 1: Getting to Know CockroachDB

2. Chapter 1: CockroachDB – A Brief Introduction FREE CHAPTER

3. Chapter 2: How Does CockroachDB Work Internally?

4. Section 2: Exploring the Important Features of CockroachDB

5. Chapter 3: Atomicity, Consistency, Isolation, and Durability (ACID)

6. Chapter 4: Geo-Partitioning

7. Chapter 5: Fault Tolerance and Auto-Rebalancing

8. Chapter 6: How Indexes Work in CockroachDB

9. Section 3: Working with CockroachDB

10. Chapter 7: Schema Creation and Management

11. Chapter 8: Exploring the Admin User Interface

12. Chapter 9: An Overview Of Security Aspects

13. Chapter 10: Troubleshooting Issues

14. Chapter 11: Performance Benchmarking and Migration

15. Other Books You May Enjoy

Appendix: Bibliography and Additional Resources

Why subscribe?

Chapter 5: Fault Tolerance and Auto-Rebalancing

In Chapter 4, Geo-Partitioning, we learned about what geo-partitioning is, why we need it, and how it's supported in CockroachDB.

In this chapter, we will discuss what fault tolerance and auto-rebalancing are and how CockroachDB provides these features. We will also learn about multi-node failure scenarios and how to recover from them.

Fault tolerance refers to how CockroachDB copes with various types of failures. Auto-rebalancing in general is the ability to adapt and increase or decrease the number of nodes in a cluster to avoid hotspots. We will discuss auto-rebalancing with specific examples that you can also try.

The following topics will be covered in this chapter:

Achieving fault tolerance
Automatic rebalancing
Recovering from multi-node failures

The rest of the chapter is locked

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Authors (1)

Kishen Das Kondabagilu Rajanna

Kishen Das Kondabagilu Rajanna

Kishen Das Kondabagilu Rajanna is currently working as a distributed query engineer at Adobe. His previous experience includes leading the data warehouse team at Cloudera, managing the SaaS platform at Rubrik, writing core services for the Oracle public cloud, and managing data infrastructure at Apple.

See other products by Kishen Das Kondabagilu Rajanna

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