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Elasticsearch Essentials

You're reading from   Elasticsearch Essentials Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781784391010
Length 240 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (12) Chapters Close

Preface 1. Getting Started with Elasticsearch FREE CHAPTER 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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