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Redis Stack for Application Modernization

You're reading from   Redis Stack for Application Modernization Build real-time multi-model applications at any scale with Redis

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781837638185
Length 336 pages
Edition 1st Edition
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Authors (2):
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Mirko Ortensi Mirko Ortensi
Author Profile Icon Mirko Ortensi
Mirko Ortensi
Luigi Fugaro Luigi Fugaro
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Luigi Fugaro
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Toc

Table of Contents (18) Chapters Close

Preface 1. Part 1: Introduction to Redis Stack
2. Chapter 1: Introducing Redis Stack FREE CHAPTER 3. Chapter 2: Developing Modern Use Cases with Redis Stack 4. Chapter 3: Getting Started with Redis Stack 5. Chapter 4: Setting Up Client Libraries 6. Part 2: Data Modeling
7. Chapter 5: Redis Stack as a Document Store 8. Chapter 6: Redis Stack as a Vector Database 9. Chapter 7: Redis Stack as a Time Series Database 10. Chapter 8: Understanding Probabilistic Data Structures 11. Part 3: From Development to Production
12. Chapter 9: The Programmability of Redis Stack 13. Chapter 10: RedisInsight – the Data Management GUI 14. Chapter 11: Using Redis Stack as a Primary Database 15. Chapter 12: Managing Development and Production Environments 16. Index 17. Other Books You May Enjoy

Working with time series

As mentioned at the beginning of the chapter, a time series is a sequence of data points collected and recorded over time at regular intervals. Redis Stack provides a rich API to manage data points collected into a time series.

To start with an example, you will need to create a time series. The simplest method to accomplish this is by utilizing the TS.CREATE command followed by a key, representing the time series name, as shown here:

TS.CREATE key

However, there are additional parameters that can be employed when creating the time series, as outlined here:

TS.CREATE key [RETENTION retentionTime] [ENCODING [UNCOMPRESSED|COMPRESSED]] [CHUNK_SIZE size] [DUPLICATE_POLICY policy] [LABELS label value..]

Each parameter can be adjusted for performance optimization, reducing memory footprint, or enhancing querying and aggregation capabilities, as detailed here:

  • key: This is the key that identifies the time series.
  • RETENTION: This is the retention...
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