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Learning Elasticsearch

Learning Elasticsearch

By : Andhavarapu
4.3 (4)
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Learning Elasticsearch

Learning Elasticsearch

4.3 (4)
By: Andhavarapu

Overview of this book

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently. You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data. Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments.
Table of Contents (11 chapters)
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10
Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Difference between full-text search and exact match

In this section, we will describe analyzers and why they are necessary for text search. Let's say we have a document containing the following information:

{
"date": "2017/02/01",
"desc": "It will be raining in yosemite this weekend"
}

If we want to search for the documents that contain word yosemite, we could run an SQL query as shown here:

select * from news where desc like '%yosemite%'

This functionality is very limited and is never sufficient for real-world text-search queries. For example, if a user is looking for the weather forecast in Yosemite, he/she would query for the same in human language using something such as rain in yosemite. Since SQL can only match the exact words, and the document doesn't contain the word rain, the query will not come back with...

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