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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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Toc

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

Ingest node

Prior to Elasticsearch 5.0, if we wanted to preprocess documents before indexing them to Elasticsearch, then the only way was to make use of Logstash or preprocess them programmatically/manually and then index them to Elasticsearch. Elasticsearch lacked the ability to preprocess/transform the documents, and it just indexed the documents as they were. However, the introduction of a feature called ingest node in Elasticsearch 5.x onward provided a lightweight solution for preprocessing and enriching documents within Elasticsearch itself before they are indexed.

If an Elasticsearch node is implemented with the default configuration, by default, it would be master, data, and ingest enabled (that is, it would act as a master node, data node, and ingest node). To disable ingest on a node, configure the following setting in the elasticsearch.yml file:

node.ingest: false

The...

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