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Elasticsearch 5.x Cookbook

You're reading from   Elasticsearch 5.x Cookbook Distributed Search and Analytics

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Length 696 pages
Edition 3rd 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 (25) Chapters Close

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Getting Started FREE CHAPTER 2. Downloading and Setup 3. Managing Mappings 4. Basic Operations 5. Search 6. Text and Numeric Queries 7. Relationships and Geo Queries 8. Aggregations 9. Scripting 10. Managing Clusters and Nodes 11. Backup and Restore 12. User Interfaces 13. Ingest 14. Java Integration 15. Scala Integration 16. Python Integration 17. Plugin Development 18. Big Data Integration

Indexing data with Apache Pig


Apache Pig (https://pig.apache.org/) is a tool frequently used to store/manipulate data in datastores. It can be very handy if you need to import some CSV in Elasticsearch in a very fast way.

Getting ready

You need an up-and-running Elasticsearch installation as we described in Downloading and installing Elasticsearch recipe in Chapter 2, Downloading and Setup.

You need a working Pig installation. Depending on your operating system you should follow the instruction at http://pig.apache.org/docs/r0.16.0/start.html.

If you are using Mac OS X with Homebrew you can install it with brew install pig.

How to do it...

We want read a CSV and write the data in Elasticsearch. We will perform the steps given as follows:

  1. We will download a CSV dataset from geonames site: all the geoname locations of Great Britain. We can fast download them and unzip them via:

            wget http://download.geonames.org/export/dump/GB.zip 
            unzip GB.zip 
    
  2. We can write es.pig that contains...

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