Book Image

Elasticsearch 8.x Cookbook - Fifth Edition

By : Alberto Paro
Book Image

Elasticsearch 8.x Cookbook - Fifth Edition

By: Alberto Paro

Overview of this book

Elasticsearch is a Lucene-based distributed search engine at the heart of the Elastic Stack that allows you to index and search unstructured content with petabytes of data. With this updated fifth edition, you'll cover comprehensive recipes relating to what's new in Elasticsearch 8.x and see how to create and run complex queries and analytics. The recipes will guide you through performing index mapping, aggregation, working with queries, and scripting using Elasticsearch. You'll focus on numerous solutions and quick techniques for performing both common and uncommon tasks such as deploying Elasticsearch nodes, using the ingest module, working with X-Pack, and creating different visualizations. As you advance, you'll learn how to manage various clusters, restore data, and install Kibana to monitor a cluster and extend it using a variety of plugins. Furthermore, you'll understand how to integrate your Java, Scala, Python, and big data applications such as Apache Spark and Pig with Elasticsearch and create efficient data applications powered by enhanced functionalities and custom plugins. By the end of this Elasticsearch cookbook, you'll have gained in-depth knowledge of implementing the Elasticsearch architecture and be able to manage, search, and store data efficiently and effectively using Elasticsearch.
Table of Contents (20 chapters)

Executing a geotile grid aggregation

Using Elasticsearch to show data on maps is a very common pattern between Elasticsearch users. One of the most commonly used map formats is the tile one, in which a map is split into several small square parts and when the render of a location is required, the tiles near the location are fetched by a server.

Apart from commercial solutions, OpenStreetMap (https://www.openstreetmap.org/) maps are the most used, and a lot of Kibana maps are based on their tile servers. OpenStreetMap is open source and you can easily provide your own tile server via a Docker (https://switch2osm.org/serving-tiles/using-a-docker-container/).

The geotile grid aggregation allows to return buckets of documents with geopoints or geoshapes in the standard map tile format used for cells “{zoom}/{x}/{y}”.

Getting ready

You need an up and running Elasticsearch installation, as we described in the Downloading and installing Elasticsearch recipe in Chapter...