Book Image

Learning Elastic Stack 6.0

By : Pranav Shukla, Sharath Kumar M N
Book Image

Learning Elastic Stack 6.0

By: Pranav Shukla, Sharath Kumar M N

Overview of this book

The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and visualization of data from medium to massive data sets. The newly released Elastic Stack 6.0 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. After a quick overview of the newly introduced features in Elastic Stack 6.0, you’ll learn how to set up the stack by installing the tools, and see their basic configurations. Then it shows you how to use Elasticsearch for distributed searching and analytics, along with Logstash for logging, and Kibana for data visualization. It also demonstrates the creation of custom plugins using Kibana and Beats. You’ll find out about Elastic X-Pack, a useful extension for effective security and monitoring. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments. On completing this book, you’ll have a solid foundational knowledge of the basic Elastic Stack functionalities. You’ll also have a good understanding of the role of each component in the stack to solve different data processing problems.
Table of Contents (19 chapters)
Title Page
Credits
Disclaimer
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

The basics of aggregations


In contrast to search, analytics deals with the bigger picture. Searching addresses the need for zooming in to a few records; analytics addresses the need for zooming out and slicing the data in different ways. While learning about searching, we used the API of the following form:

POST /<index_name>/<type_name>/_search
{
  "query": 
  {
    ... type of query ...
  }
}

All aggregation queries take a common form. Let us understand the structure.

The aggregations or aggs element allows us to aggregate data. All aggregation requests take the following form:

POST /<index_name>/<type_name>/_search
{  
  "aggs": {                                 
    ... type of aggregation ...
          },
  "query": {  ... type of query ... },              //optional query part
  "size": 0                                         //size typically set to 0
}

The aggs element should contain the actual aggregation query. The body depends on the type of aggregation that...