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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)

Configuring Elasticsearch

Elasticsearch is designed to work out of the box. Most settings can be changed on the fly using the settings API. While in development, the default settings should be sufficient. But for production, depending on your application, you need to modify settings, such as memory, file descriptors, and so on. In this section, we will look at the important settings to configure before going to production. First, let's start by looking at the directory structure of Elasticsearch.

The directory structure

You can choose between .zip/.tar.gz or deb/rpm to install Elasticsearch. Depending on how you install, the directory structure, location of log files, the location of the configuration file, and how you...

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