Book Image

Learning Elasticsearch

By : Abhishek Andhavarapu
Book Image

Learning Elasticsearch

By: Abhishek 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)
10
Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Relevance

A traditional database usually contains structured data. A query on a database limits the data depending on different conditions specified by the user. Each condition in the query is evaluated as true/false, and the rows that don't satisfy the conditions are eliminated. However, full-text search is much more complicated. The data is unstructured, or at least the queries are.

We often need to search for the same text across one or more fields. The documents can be quite large, and the query word might appear multiple times in the same document and across several documents. Displaying all the results of the search will not help as there could be hundreds, if not more, and most documents might not even be relevant to the search.

To solve this problem, all the documents that match the query are assigned a score. The score is assigned based on how relevant each document...