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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)

Modeling Your Data and Document Relations

In the previous chapter, we learned how to set up and configure Elasticsearch. Once the cluster is up and running, you can start indexing your data. Elasticsearch will automatically figure out the schema of the documents when you index, which works great for getting started. But for all practical purposes, you have to tell Elasticsearch the schema of your data to avoid any surprises. Modeling your data is one of the most important steps before using Elasticsearch. In this chapter, you’ll learn how to model your data and handle relations between different document types. In this chapter, we will cover the following:

  • Configure mappings
  • Dynamic mapping
  • Core data types
  • Complex data types
  • Geo location
  • Modeling relations in Elasticsearch
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