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

Tuning memory size for MemStores


As we described in recipe Avoiding update blocking on write-heavy clusters, HBase write operations are applied in the hosting region's MemStore at first, and then flushed to HDFS to save memory space when MemStore size reaches a threshold. MemStore flush runs on background threads using a snapshot of the MemStore. Thus HBase keeps handling writes even when the MemStores are being flushed. This makes HBase writes very fast. If the write spike is so high that the MemStore flush cannot catch up, the speed writes fill MemStores and memory used by MemStores will keep growing. If the size of all MemStores in a region server reaches a configurable threshold, updates are blocked and flushes are forced.

We will describe how to tune this total MemStore memory size to avoid update blocking in this recipe.

Getting ready

Log in to your master node as the user who starts HBase.

How to do it...

The following steps need to be carried out to tune memory size for MemStores:

  1. 1...