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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

Data distribution across multiple nodes

A table in CockroachDB can be partitioned, and this is discussed in Chapter 4, Geo-Partitioning, where we talk about geo-partitioning. CockroachDB stores the data in a monolithic sorted key-value store (MSKVS). Key-space is all the data you have in a given cluster, including information about its location. Key-space is divided into contiguous batches, called ranges. The MSKVS makes it easy to access any data from any node, which makes it possible for any node in the cluster to act as a gateway node, coordinating one or more data nodes while serving client requests.

The MSKVS

The MSKVS contains two categories of data, as outlined here:

  • System data, which contains meta ranges, where the data of each range can be found within the cluster.
  • User data, which is the actual table data.

Meta ranges

The location of ranges is maintained in two-level indexes, known as meta ranges. The first level (a.k.a. meta1) points to the...

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