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Elasticsearch 8.x Cookbook - Fifth Edition

You're reading from  Elasticsearch 8.x Cookbook - Fifth Edition

Product type Book
Published in May 2022
Publisher Packt
ISBN-13 9781801079815
Pages 750 pages
Edition 5th Edition
Languages
Author (1):
Alberto Paro Alberto Paro
Profile icon Alberto Paro

Table of Contents (20) Chapters

Preface 1. Chapter 1: Getting Started 2. Chapter 2: Managing Mappings 3. Chapter 3: Basic Operations 4. Chapter 4: Exploring Search Capabilities 5. Chapter 5: Text and Numeric Queries 6. Chapter 6: Relationships and Geo Queries 7. Chapter 7: Aggregations 8. Chapter 8: Scripting in Elasticsearch 9. Chapter 9: Managing Clusters 10. Chapter 10: Backups and Restoring Data 11. Chapter 11: User Interfaces 12. Chapter 12: Using the Ingest Module 13. Chapter 13: Java Integration 14. Chapter 14: Scala Integration 15. Chapter 15: Python Integration 16. Chapter 16: Plugin Development 17. Chapter 17: Big Data Integration 18. Chapter 18: X-Pack 19. Other Books You May Enjoy

The grok processor

Elasticsearch provides a large number of built-in processors that increases with every release. In the preceding examples, we have seen the set and replace ones. In this recipe, we will cover one that's mostly used for log analysis: the grok processor, which is well known to Logstash users.

Getting ready

You need an up-and-running Elasticsearch installation, as we described in the Downloading and installing Elasticsearch recipe in Chapter 1, Getting Started.

To execute the commands, any HTTP client can be used, such as curl (https://curl.haxx.se/), Postman (https://www.getpostman.com/), or similar. Use the Kibana console, as it provides code completion and better character escaping for Elasticsearch.

How to do it...

To test a grok pattern against some log lines, we will perform the following step.

Execute a call by passing both the pipeline with our grok processor and a sample subset of a document to test the pipeline against:

POST /_ingest...
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