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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

Interactions with the disk for data storage

The storage layer is responsible for reading from and writing to the disk. Each node in a CockroachDB cluster should have at least one storage attachment. Data is stored as key-value pairs on the disk using a storage engine.

Storage engine

A database management system (DBMS) uses a storage engine to perform CRUD (which stands for create, read, update, and delete) operations on the disk. Usually, the storage engine acts as a black box, so you get more options to choose from based on your own requirements, and also, storage engines evolve independently of the DBMSes that are using them.

Storage engines use a variety of data structures to store data. The popular ones are listed here:

  • Hash table
  • B+ tree
  • Heap
  • Log-structured merge-tree (LSM-tree)

Storage engines also work with a wide range of storage types, including the following:

  • Solid-state drive (SSD)
  • Flash storage
  • Hard disk
  • Remote...
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