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Elasticsearch Essentials

You're reading from  Elasticsearch Essentials

Product type Book
Published in Jan 2016
Publisher
ISBN-13 9781784391010
Pages 240 pages
Edition 1st Edition
Languages

Table of Contents (18) Chapters

Elasticsearch Essentials
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
1. Getting Started with Elasticsearch 2. Understanding Document Analysis and Creating Mappings 3. Putting Elasticsearch into Action 4. Aggregations for Analytics 5. Data Looks Better on Maps: Master Geo-Spatiality 6. Document Relationships in NoSQL World 7. Different Methods of Search and Bulk Operations 8. Controlling Relevancy 9. Cluster Scaling in Production Deployments 10. Backups and Security Index

Summary


This chapter provided you some very important functionalities of Elasticsearch, which every programmer needs to know while developing applications in real-time scenarios and working with a large number of datasets. We covered the bulk APIs by combining multiple requests into a single one to reduce the time and number of requests to process large datasets. We also saw some best practices to be kept in mind while working with these APIs, and most importantly, you got practical code examples that will help you through your journey with Elasticsearch.

In the next chapter, you are going to learn about search relevancy and how to control the scoring of your searches.

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