Book Image

HBase Administration Cookbook

By : Yifeng Jiang
Book Image

HBase Administration Cookbook

By: Yifeng Jiang

Overview of this book

As an Open Source distributed big data store, HBase scales to billions of rows, with millions of columns and sits on top of the clusters of commodity machines. If you are looking for a way to store and access a huge amount of data in real-time, then look no further than HBase.HBase Administration Cookbook provides practical examples and simple step-by-step instructions for you to administrate HBase with ease. The recipes cover a wide range of processes for managing a fully distributed, highly available HBase cluster on the cloud. Working with such a huge amount of data means that an organized and manageable process is key and this book will help you to achieve that.The recipes in this practical cookbook start from setting up a fully distributed HBase cluster and moving data into it. You will learn how to use all of the tools for day-to-day administration tasks as well as for efficiently managing and monitoring the cluster to achieve the best performance possible. Understanding the relationship between Hadoop and HBase will allow you to get the best out of HBase so the book will show you how to set up Hadoop clusters, configure Hadoop to cooperate with HBase, and tune its performance.
Table of Contents (16 chapters)
HBase Administration Cookbook
Credits
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface

Setting up Hadoop to spread disk I/O


Modern servers usually have multiple disk devices to provide large storage capacities. These disks are usually configured as RAID arrays, as their factory settings. This is good for many cases but not for Hadoop.

The Hadoop slave node stores HDFS data blocks and MapReduce temporary files on its local disks. These local disk operations benefit from using multiple independent disks to spread disk I/O.

In this recipe, we will describe how to set up Hadoop to use multiple disks to spread its disk I/O.

Getting ready

We assume you have multiple disks for each DataNode node. These disks are in a JBOD (Just a Bunch Of Disks) or RAID0 configuration. Assume that the disks are mounted at /mnt/d0, /mnt/d1, ..., /mnt/dn, and the user who starts HDFS has write permission on each mount point.

How to do it...

In order to set up Hadoop to spread disk I/O, follow these instructions:

  1. 1. On each DataNode node, create directories on each disk for HDFS to store its data blocks...