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Elasticsearch 8.x Cookbook

You're reading from   Elasticsearch 8.x Cookbook Over 180 recipes to perform fast, scalable, and reliable searches for your enterprise

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Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781801079815
Length 750 pages
Edition 5th Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Table of Contents (20) Chapters Close

Preface 1. Chapter 1: Getting Started 2. Chapter 2: Managing Mappings FREE CHAPTER 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

Indexing data with Apache Pig

Apache Pig (https://pig.apache.org/) is a tool that's frequently used to store and manipulate data in data stores. It can be very handy if you need to import some Comma-Separated Values (CSV) in Elasticsearch very quickly.

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.

You need a working Pig installation. Depending on your operating system, you should follow the instructions at http://pig.apache.org/docs/r0.17.0/start.html.

If you are using macOS X with Homebrew, you can install it with brew install pig; in Linux/Windows, you can install it with the following commands:

wget -c https://downloads.apache.org/pig/pig-0.17.0/pig-0.17.0.tar.gz
tar xfvz pig-0.17.0.tar.gz

How to do it...

We want to read a CSV file and write the data in Elasticsearch. We will perform the following steps to do so:

  1. We will download...
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