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)

Creating a client

The official Elasticsearch clients are designed to manage a lot of issues that are typically required to create solid REST clients, such as retry if there are network issues, autodiscovery of other nodes in the cluster, and data conversions for communicating on the HTTP layer.

In this recipe, we'll learn how to instantiate a client with varying options.

Getting ready

You will need an up-and-running Elasticsearch installation, which we described how to get in the Downloading and installing Elasticsearch recipe in Chapter 1, Getting Started.

A Python 3.x distribution should be installed. On Linux and macOS systems, it's already provided in the standard installation. To manage Python, you must also install the necessary pip packages (https://pypi.python.org/pypi/pip/).

The full code for this recipe can be found in the ch15/code/client_creation.py file.

How to do it...

To create a client, perform the following steps:

  1. Before you can...