You're reading from Learning Elasticsearch

Product typeBook

Published inJun 2017

PublisherPackt

ISBN-139781787128453

Edition1st Edition

Tools

Elasticsearch Kibana

Concepts

Enterprise Search

Author (1)

Abhishek Andhavarapu

Sample data

To better explain the various concepts in this chapter, we will use the e-commerce site as an example. We will create an index with a list of products. We will create a simple index called chapter7 with type product. Our sample data looks like the following:

PUT chapter7/product/1
{ "product_name": "Apple iPhone 7"}

PUT chapter7/product/2
{ "product_name": "Apple iPhone Lightning Cable" }

PUT chapter7/product/3
{ "product_name": "Apple iPhone 6"}

PUT chapter7/product/4
{ "product_name": "Samsung Galaxy S7" }

PUT chapter7/product/5
{ "product_name": "Samsung Galaxy S6" }

As we progress through the chapter, we will recreate the chapter7 index with different configurations.

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Learning Elasticsearch

Published in: Jun 2017Publisher: PacktISBN-13: 9781787128453

Author (1)

Abhishek Andhavarapu

Abhishek Andhavarapu is a software engineer at eBay who enjoys working on highly scalable distributed systems. He has a master's degree in Distributed Computing and has worked on multiple enterprise Elasticsearch applications, which are currently serving hundreds of millions of requests per day. He began his journey with Elasticsearch in 2012 to build an analytics engine to power dashboards and quickly realized that Elasticsearch is like nothing out there for search and analytics. He has been a strong advocate since then and wrote this book to share the practical knowledge he gained along the way.
Read more about Abhishek Andhavarapu

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Author (1)

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