Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Elastic Stack 8.x Cookbook

You're reading from   Elastic Stack 8.x Cookbook Over 80 recipes to perform ingestion, search, visualization, and monitoring for actionable insights

Arrow left icon
Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781837634293
Length 688 pages
Edition 1st Edition
Arrow right icon
Authors (2):
Arrow left icon
Yazid Akadiri Yazid Akadiri
Author Profile Icon Yazid Akadiri
Yazid Akadiri
Huage Chen Huage Chen
Author Profile Icon Huage Chen
Huage Chen
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

Preface 1. Chapter 1: Getting Started – Installing the Elastic Stack 2. Chapter 2: Ingesting General Content Data FREE CHAPTER 3. Chapter 3: Building Search Applications 4. Chapter 4: Timestamped Data Ingestion 5. Chapter 5: Transform Data 6. Chapter 6: Visualize and Explore Data 7. Chapter 7: Alerting and Anomaly Detection 8. Chapter 8: Advanced Data Analysis and Processing 9. Chapter 9: Vector Search and Generative AI Integration 10. Chapter 10: Elastic Observability Solution 11. Chapter 11: Managing Access Control 12. Chapter 12: Elastic Stack Operation 13. Chapter 13: Elastic Stack Monitoring 14. Index 15. Other Books You May Enjoy

Building advanced search queries with Query DSL

In this recipe, we’ll explore more advanced Query DSL techniques to enhance your search and analysis tasks.

Getting ready

Ensure that you have completed the previous Searching with Query DSL recipe.

You can find the snippets for this recipe at https://github.com/PacktPublishing/Elastic-Stack-8.x-Cookbook/blob/main/Chapter3/snippets.md#building-advanced-search-query-with-query-dsl.

How to do it...

In the previous recipe, we mostly saw queries for full-text search, ideal for searching words within bodies of text. But how do we query for numbers, dates, and IPs? This is where the range query becomes useful. Let’s explore how to find movies released between 1925 and 1927:

  1. Start with a range query for the "release_year" field: Go to Dev Tools | Console in Kibana and try the query with the following code snippet (you can find the snippet at https://github.com/PacktPublishing/Elastic-Stack-8.x-Cookbook...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime