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  • Book Overview & Buying ElasticSearch Cookbook
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ElasticSearch Cookbook

ElasticSearch Cookbook - Second Edition

By : Alberto Paro
4.1 (7)
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ElasticSearch Cookbook

ElasticSearch Cookbook

4.1 (7)
By: Alberto Paro

Overview of this book

If you are a developer who implements ElasticSearch in your web applications and want to sharpen your understanding of the core elements and applications, this is the book for you. It is assumed that you’ve got working knowledge of JSON and, if you want to extend ElasticSearch, of Java and related technologies.
Table of Contents (14 chapters)
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13
Index

Introduction

There are two ways to put your data into ElasticSearch. As you have seen in previous chapters, one way is to use the index API, which allows you to store documents in ElasticSearch via the PUT/POST API or the bulk API. The other way is to use a service that fetches the data from an external source (at one time or periodically) and puts it in the cluster.

ElasticSearch calls these services rivers, and the ElasticSearch community provides several rivers to connect to different data sources, as follows:

  • CouchDB
  • MongoDB
  • RabbitMQ
  • SQL DBMS (Oracle, MySQL, PostgreSQL, and so on)
  • Redis
  • Twitter
  • Wikipedia

Rivers are available as external plugins at http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-plugins.html#river, which provides an updated list of the available ElasticSearch rivers. In this chapter, we'll discuss how to manage a river (create, check, and delete) and how to configure the most common ones.

A river is a very handy tool to ingest data in ElasticSearch...

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ElasticSearch Cookbook
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