Book Image

Hadoop 2.x Administration Cookbook

By : Aman Singh
Book Image

Hadoop 2.x Administration Cookbook

By: Aman Singh

Overview of this book

Hadoop enables the distributed storage and processing of large datasets across clusters of computers. Learning how to administer Hadoop is crucial to exploit its unique features. With this book, you will be able to overcome common problems encountered in Hadoop administration. The book begins with laying the foundation by showing you the steps needed to set up a Hadoop cluster and its various nodes. You will get a better understanding of how to maintain Hadoop cluster, especially on the HDFS layer and using YARN and MapReduce. Further on, you will explore durability and high availability of a Hadoop cluster. You’ll get a better understanding of the schedulers in Hadoop and how to configure and use them for your tasks. You will also get hands-on experience with the backup and recovery options and the performance tuning aspects of Hadoop. Finally, you will get a better understanding of troubleshooting, diagnostics, and best practices in Hadoop administration. By the end of this book, you will have a proper understanding of working with Hadoop clusters and will also be able to secure, encrypt it, and configure auditing for your Hadoop clusters.
Table of Contents (20 chapters)
Hadoop 2.x Administration Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Index

Estimating the cost of the Hadoop cluster


In this recipe, we will estimate the costing for the Hadoop cluster and see what factors to a take into account. The exact figures can vary according to the hardware and software choices.

The Hadoop cluster is a combination of servers, network components, power consumption, man hours to maintain it, software license costs, and cooling costs.

How to do it...

In this recipe, there is nothing to execute or do by logging into the cluster, but it is more of an estimation which will be governed by the following mentioned factors.

Each server in the Hadoop cluster will at least fall into three categories: Master nodes, Datanodes, and Edge nodes.

Costing master nodes: Intensive on memory and CPU, but need less of disk space.

  • Two OS disks in Raid 1 configuration

  • Two disks for logs and two disks for Namenode metadata

  • At least two network cards bounded together with minimum 1 Gbps

  • RAM 128 GB, higher if the HBase master is co-located on a Namenode

  • CPU cores per master...