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Learning Elastic Stack 6.0

You're reading from Learning Elastic Stack 6.0 A beginner's guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana

Product type Paperback

Published in Dec 2017

Publisher Packt

ISBN-13 9781787281868

Length 434 pages

Edition 1st Edition

Tools

Elasticsearch

Concepts

Enterprise Search

Authors (2):

Pranav Shukla

Sharath Kumar

View More author details

Table of Contents (19) Chapters

Title Page

Credits

Disclaimer

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Introducing Elastic Stack FREE CHAPTER

2. Getting Started with Elasticsearch

3. Searching-What is Relevant

4. Analytics with Elasticsearch

5. Analyzing Log Data

6. Building Data Pipelines with Logstash

7. Visualizing data with Kibana

8. Elastic X-Pack

9. Running Elastic Stack in Production

10. Building a Sensor Data Analytics Application

11. Monitoring Server Infrastructure

Ingest node

Prior to Elasticsearch 5.0, if we wanted to pre-process documents before indexing them to Elasticsearch, then the only way was to make use of Logstash or pre-process them programmatically/manually and then index them to Elasticsearch. Elasticsearch lacked the ability to pre-process/transform the documents, and it just indexed the document as they were. However, the introduction of a feature called ingest node in Elasticsearch 5.x onwards provided a lightweight solution for pre-processing 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 ingest node can be used to pre-process documents before the actual indexing is performed on the document. This...

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Authors (2)

Pranav Shukla

Pranav Shukla

Pranav Shukla is the founder and CEO of Valens DataLabs, a technologist, husband, and father of two. He is a big data architect and software craftsman who uses JVM-based languages. Pranav has over 14 years' experience in architecting enterprise applications for Fortune 500 companies and start-ups. His core expertise lies in building JVM-based, scalable, reactive, and data-driven applications using Java/Scala, the Hadoop ecosystem, Apache Spark, and NoSQL databases. Pranav founded Valens DataLabs with the vision of helping companies to leverage data to their competitive advantage. In his spare time, he enjoys reading books, playing musical instruments, singing, listening to music, and watching cricket.

See other products by Pranav Shukla

Sharath Kumar

Sharath Kumar

Sharath Kumar M N did his master's in computer science at the University of Texas, Dallas, USA. He is currently working as a senior principal architect at Broadcom. Prior to this, he was working as an Elasticsearch solutions architect at Oracle. He has given several tech talks at conferences such as Oracle Code events. Sharath is a certified trainer Elastic Certified Instructor one of the few technology experts in the world who has been certified by Elastic Inc. to deliver their official from the creators of Elastic training. He is also a data science and machine learning enthusiast. In his free time, he likes playing with his lovely niece, Monisha; nephew, Chirayu; and his pet, Milo.

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