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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

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781800560659
Length 246 pages
Edition 1st Edition
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Author (1):
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Kishen Das Kondabagilu Rajanna Kishen Das Kondabagilu Rajanna
Author Profile Icon Kishen Das Kondabagilu Rajanna
Kishen Das Kondabagilu Rajanna
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Table of Contents (17) Chapters Close

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

Geo-partitioning in CockroachDB

CockroachDB provides two topology patterns, which provide two levels of data resiliency, latency and availability.

Single region

Here, the entire data is in a single region.

CockroachDB defines two variations of single-region topology, development and production, as follows:

  • Development: This pattern is very straightforward, where you just have a single node in an availability zone, with multiple clients talking to it. This pattern is useful for testing purposes. This topology can also be used on your laptop or desktop.

As part of your Continuous Integration/Continuous Deployment (CI/CD) pipeline, you can have a dedicated stage in which you provision a single-node cluster and later can run a bunch of system tests that interact with a real database. Since the clients will be local to the data, reads and writes will be much faster, although there is no resiliency.

The following is an example of a single-region deployment:

...
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