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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

Introduction


Now we have set the mappings and put the data in the indices, we can search.

In this chapter, we will cover the search using different factors: sorting, highlighting, scrolling, suggesting, counting, and deleting. These actions are the core part of Elasticsearch: ultimately, everything in Elasticsearch is about serving the query and returning good-quality results.

This chapter is divided in two parts: the first part shows how to perform an API call-related search, the last part will look at two special query operators that are the basis for building complex queries in the next chapters.

All the recipes in this chapter require us to prepare and populate the required indices: the online code is available on the PacktPub website (https://www.packtpub.com/big-data-and-business-intelligence/elasticsearch-cookbook) or via GitHub (https://github.com/aparo/elasticsearch-cookbook-third-edition). There are scripts to initialize all the required data.

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