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HBase High Performance Cookbook

You're reading from HBase High Performance Cookbook

Product type Book

Published in Jan 2017

Publisher Packt

ISBN-13 9781783983063

Pages 350 pages

Edition 1st Edition

Languages

Concepts

Database Administration

Author (1):

Ruchir Choudhry

Table of Contents (19) Chapters

HBase High Performance Cookbook

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Configuring HBase

2. Loading Data from Various DBs

3. Working with Large Distributed Systems Part I

4. Working with Large Distributed Systems Part II

5. Working with Scalable Structure of tables

6. HBase Clients

7. Large-Scale MapReduce

Introduction

8. HBase Performance Tuning

9. Performing Advanced Tasks on HBase

10. Optimizing Hbase for Cloud

11. Case Study

Index

Working with HDFS

To get the best performance from HBase, it is essential to get optimal performance from Hadoop/HDFS.

There are various parameters we can look at, but we will limit ourselves to make sure we get the benefits.

Multiple disk mount point:

Df.datanode.data.dir  -> use all attached disks to data node.
Block Side(DFS) =128 MB
Local file system buffer 
Io.file.buffer.size=131072 (128k)
Io.sort.factor=50 to 100
Data Node and NameNode  conconcurry
Dfs.namenode.handler.count(131072)
Dfs..datanode,max.transfer.tthread 4096

Give HDFS as many paths as possible to spread the disk I/O around and to increase the capacity of HDFS.

How to do it…

Please open the dfs.block.size section from dfs-site.xml and mapred.min.split.size from mapred.max.split.size in mapred-site.xml.

The split of the input size and the total input data size can be changed and can be mapped to the block size.

This also helps us reduce the number of map tasks. If the map task is reduced, the performance will increase. This...

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Authors (1)

Ruchir Choudhry

Ruchir Choudhry is a principle architect in one of the largest e-commerce companies and specializes in leading, articulating, technology vision, strategizing, and implementing very large-scale software engineering-driven technology changes, with a track record of over 16 years of success. He was responsible for leading strategy, architecture, engineering, and operations of multitenant e-commerce sites and platforms in US, UK, Brazil, and other major markets for Walmart. The sites helped Walmart enter new markets and/or grow its market share. The sites combined service millions of customers and take in orders with annual revenues exceeding $2.0 billion. His personal interest is in performance and scalability. Recently, he has become obsessed with technology as a vehicle to drive and prioritize optimization across organizations and in the world. He is a core team member in conceptualizing, designing, and reshaping a new platform that will serve the next generation of frontend engineering, based on the cutting edge technology in WalMart.com and NBC/GE/VF Image ware. He has led some of the most complex and technologically challenging R&D and innovative projects in VF Image Ware, Walmart.com and in GE/NBC (China and Vancouver Olympic websites), Hiper World Cyber Tech Limited (which created the first wireless-based payment gateway of India that worked on non-smart phones, which was presented at Berlin in 1999). He is the author of more than 8 white papers, which spans from biometric-based single sign on to Java Cards, performance tuning, and JVM tuning, among others. He was a presenter of JVM, performance optimization using Jboss, in Berlin and various other places. Ruchir Choudhry did his BE at Bapuji Institute of Technology, MBA in information technology at National institute of Engineering and Technology, and his MS Systems at BITS Pilani. He is currently working and consulting on HBase, Spark, and Cassandra. He can be reached at ruchirchoudhry@gmail.com

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