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Learning Elasticsearch

You're reading from   Learning Elasticsearch Structured and unstructured data using distributed real-time search and analytics

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787128453
Length 404 pages
Edition 1st Edition
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Author (1):
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Abhishek Andhavarapu Abhishek Andhavarapu
Author Profile Icon Abhishek Andhavarapu
Abhishek Andhavarapu
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Elasticsearch FREE CHAPTER 2. Setting Up Elasticsearch and Kibana 3. Modeling Your Data and Document Relations 4. Indexing and Updating Your Data 5. Organizing Your Data and Bulk Data Ingestion 6. All About Search 7. More Than a Search Engine (Geofilters, Autocomplete, and More) 8. How to Slice and Dice Your Data Using Aggregations 9. Production and Beyond 10. Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Using Elasticsearch in your application

Until this chapter, we used HTTP clients, such as Kibana or Postman, to talk to Elasticsearch. In this section, we will discuss how to integrate Elasticsearch into your application.

You can talk to Elasticsearch in two ways:

  • Rest API: You can use any HTTP clients, such as Apache HTTP client or Jersey to interact with the REST API. If your application is Java based, you should consider using the Elasticsearch Java REST Client. We will discuss this in more detail in the Java REST Client section.
  • Native Client: Elasticsearch has a native client for almost all major languages, such as Java, .NET, PHP, and so on. There are also many community-supported clients. For more details about the officially supported clients, please visit https://www.elastic.co/guide/en/elasticsearch/client/index.html.

For Java, along with the REST client, Elasticsearch...

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