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Elasticsearch 7 Quick Start Guide

You're reading from   Elasticsearch 7 Quick Start Guide Get up and running with the distributed search and analytics capabilities of Elasticsearch

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Product type Paperback
Published in Oct 2019
Publisher Packt
ISBN-13 9781789803327
Length 186 pages
Edition 1st Edition
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Authors (2):
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Douglas Miller Douglas Miller
Author Profile Icon Douglas Miller
Douglas Miller
Anurag Srivastava Anurag Srivastava
Author Profile Icon Anurag Srivastava
Anurag Srivastava
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Toc

Why use Elasticsearch?

Elasticsearch can be used for analytics through the aggregations generated by Kibana. This uses both CPU and memory and can be rather expensive. When Elasticsearch needs to search documents for certain criteria, all of the data from all of the documents is loaded into a cache named field data. Doc values is a feature that allows users to store field values in a column, thus making it more practical for sorting and searching. This particular feature has its benefits—for example, it handles memory better and it updates the indexing times more rapidly—but this also leads to bigger indices. In turn, this problem can be solved by changing the field value to apply one criteria only. In this way, each potential problem with using Elasticsearch can be circumvented by features and plugins, making it an extremely versatile tool. Let's now move onto a process that helps in effectively managing applications and identifying any upcoming potential threat.

You have been reading a chapter from
Elasticsearch 7 Quick Start Guide
Published in: Oct 2019
Publisher: Packt
ISBN-13: 9781789803327
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