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Learning Elastic Stack 6.0

You're reading from   Learning Elastic Stack 6.0 A beginner's guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781787281868
Length 434 pages
Edition 1st Edition
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Authors (2):
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Sharath Kumar Sharath Kumar
Author Profile Icon Sharath Kumar
Sharath Kumar
Pranav Shukla Pranav Shukla
Author Profile Icon Pranav Shukla
Pranav Shukla
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Table of Contents (12) Chapters Close

Preface 1. Introducing Elastic Stack FREE CHAPTER 2. Getting Started with Elasticsearch 3. Searching-What is Relevant 4. Analytics with Elasticsearch 5. Analyzing Log Data 6. Building Data Pipelines with Logstash 7. Visualizing data with Kibana 8. Elastic X-Pack 9. Running Elastic Stack in Production 10. Building a Sensor Data Analytics Application 11. Monitoring Server Infrastructure

REST API overview

We just looked at how to perform basic CRUD operations. Elasticsearch supports a wide variety of operation types. Some operations deal with documents, that is, creating, reading, updating, deleting, and so on. Some operations provide search and aggregations, while other operations are for providing cluster related operations, such as monitoring health. Broadly, the APIs that deal with Elasticsearch are categorized into the following types of APIs:

  • Document APIs
  • Search APIs
  • Aggregations APIs
  • Indices APIs
  • Cluster APIs
  • cat APIs

The Elasticsearch reference documentation has documented these APIs very nicely. In this book, we will not go into the APIs down to the last detail. We will conceptually understand, with examples, how the APIs can be leveraged to get the best out of Elasticsearch and other components of Elastic Stack.

We will look at the search and...

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