Book Image

Elasticsearch 7 Quick Start Guide

By : Anurag Srivastava, Douglas Miller
Book Image

Elasticsearch 7 Quick Start Guide

By: Anurag Srivastava, Douglas Miller

Overview of this book

Elasticsearch is one of the most popular tools for distributed search and analytics. This Elasticsearch book highlights the latest features of Elasticsearch 7 and helps you understand how you can use them to build your own search applications with ease. Starting with an introduction to the Elastic Stack, this book will help you quickly get up to speed with using Elasticsearch. You'll learn how to install, configure, manage, secure, and deploy Elasticsearch clusters, as well as how to use your deployment to develop powerful search and analytics solutions. As you progress, you'll also understand how to troubleshoot any issues that you may encounter along the way. Finally, the book will help you explore the inner workings of Elasticsearch and gain insights into queries, analyzers, mappings, and aggregations as you learn to work with search results. By the end of this book, you'll have a basic understanding of how to build and deploy effective search and analytics solutions using Elasticsearch.
Table of Contents (10 chapters)

Matrix aggregations

Matrix aggregations produce a matrix result from multiple fields. They do not support scripting. Let's cover the different types of matrix aggregations.

Matrix stats

The aggregation computes the following statistics:

  • count: The number of samples per field
  • mean: The average value for each field
  • variance: The deviation of the samples from the mean per field
  • skewness: The measurement quantifying the asymmetric distribution per field
  • kurtosis: The measurement quantifying the shape of distribution per field
  • covariance: The matrix that describes how changes in fields are associated with one another
  • correlation: The covariance matrix from -1 to 1; describes the relationship between field distributions