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Elasticsearch 5.x Cookbook - Third Edition

You're reading from  Elasticsearch 5.x Cookbook - Third Edition

Product type Book
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Pages 696 pages
Edition 3rd Edition
Languages
Concepts
Author (1):
Alberto Paro Alberto Paro
Profile icon Alberto Paro
LinkedIn
Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
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Table of Contents (25) Chapters

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
Getting Started Downloading and Setup Managing Mappings Basic Operations Search Text and Numeric Queries Relationships and Geo Queries Aggregations Scripting Managing Clusters and Nodes Backup and Restore User Interfaces Ingest Java Integration Scala Integration Python Integration Plugin Development 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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Authors (1)

Profile icon Alberto Paro
LinkedIn
Alberto Paro is an engineer, manager, and software developer. He currently works as technology architecture delivery associate director of the Accenture Cloud First data and AI team in Italy. He loves to study emerging solutions and applications, mainly related to cloud and big data processing, NoSQL, Natural language processing (NLP), software development, and machine learning. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies, mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products, using state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL data stores, and related technologies.
Read more
See other products by Alberto Paro

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