Book Image

Elasticsearch for Hadoop

By : Vishal Shukla
Book Image

Elasticsearch for Hadoop

By: Vishal Shukla

Overview of this book

Table of Contents (15 chapters)
Elasticsearch for Hadoop
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Configuring the environment for production


In this section, we will take a look at how to set up the ES-Hadoop cluster in production, and we will see some common deployment best practices, along with some configurations for common production scenarios.

Hardware

Hadoop is known to work with the clusters of commodity hardware. However, when it comes to scale, reliability, and high-performance requirements, Elasticsearch is proven to work way better for medium to large boxes. Also, if you go for a greater number of small boxes, you may just be inviting unnecessary troubles by introducing administration hassles. Although these decisions are highly influenced by budget and project requirements, these are just guidelines that can help you in taking the right decision for your deployments.

Memory

Elasticsearch is known to be memory-hungry. Memory is the first thing that you would like to give to Elasticsearch for good search performance and to avoid OutOfMemory issues, which invites other potential...