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

Introduction


If you are thinking about using HBase in production, you will probably want to understand the backup options and practices of HBase. The challenge is that the dataset you need to back up might be huge, so the backup solution must be efficient. It is expected to be able to scale to hundreds of terabytes of storage, and finish restoring the data in a reasonable time frame.

There are two strategies for backing up HBase:

  • Backing it up with a full cluster shutdown

  • Backing it up on a live cluster

A full shutdown backup has to stop HBase (or disable all tables) at first, then use Hadoop's distcp command to copy the contents of an HBase directory to either another directory on the same HDFS, or to a different HDFS. To restore from a full shutdown backup, just copy the backed up files, back to the HBase directory using distcp.

There are several approaches for a live cluster backup:

  • Using the CopyTable utility to copy data from one table to another

  • Exporting an HBase table to HDFS files...