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Learning Elastic Stack 7.0

You're reading from   Learning Elastic Stack 7.0 Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789954395
Length 474 pages
Edition 2nd Edition
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Authors (2):
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Sharath Kumar Sharath Kumar
Author Profile Icon Sharath Kumar
Sharath Kumar
Pranav Shukla Pranav Shukla
Author Profile Icon Pranav Shukla
Pranav Shukla
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Introduction to Elastic Stack and Elasticsearch FREE CHAPTER
2. Introducing Elastic Stack 3. Getting Started with Elasticsearch 4. Section 2: Analytics and Visualizing Data
5. Searching - What is Relevant 6. Analytics with Elasticsearch 7. Analyzing Log Data 8. Building Data Pipelines with Logstash 9. Visualizing Data with Kibana 10. Section 3: Elastic Stack Extensions
11. Elastic X-Pack 12. Section 4: Production and Server Infrastructure
13. Running Elastic Stack in Production 14. Building a Sensor Data Analytics Application 15. Monitoring Server Infrastructure 16. Other Books You May Enjoy

Pipeline aggregations

Pipeline aggregations, as their name suggests, allow you to aggregate over the results of another aggregation. They let you pipe the results of an aggregation as input to another aggregation. Pipeline aggregations are a relatively new feature, and they are still experimental. At a high level, there are two types of pipeline aggregation:

  • Parent pipeline aggregations have the pipeline aggregation nested inside other aggregations
  • Sibling pipeline aggregations have the pipeline aggregation as the sibling of the original aggregation from which pipelining is done

Let's look at how the pipeline aggregations work by considering one example of cumulative sum aggregation, which is a parent of pipeline aggregation.

Calculating the cumulative sum of usage over time...

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