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
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

Arrow left icon
Product type Paperback
Published in May 2022
Publisher Packt
ISBN-13 9781801079815
Length 750 pages
Edition 5th Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
Arrow right icon
View More author details
Toc

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...
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