1. Trang chủ
  2. » Công Nghệ Thông Tin

Hadoop mapreduce cookbook srinath perera 1600

300 64 0

Đang tải... (xem toàn văn)

Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống

THÔNG TIN TÀI LIỆU

Thông tin cơ bản

Định dạng
Số trang 300
Dung lượng 3,89 MB

Nội dung

Hadoop MapReduce Cookbook Recipes for analyzing large and complex datasets with Hadoop MapReduce Srinath Perera Thilina Gunarathne BIRMINGHAM - MUMBAI Hadoop MapReduce Cookbook Copyright © 2013 Packt Publishing All rights reserved No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews Every effort has been made in the preparation of this book to ensure the accuracy of the information presented However, the information contained in this book is sold without warranty, either express or implied Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals However, Packt Publishing cannot guarantee the accuracy of this information First published: February 2013 Production Reference: 2250113 Published by Packt Publishing Ltd Livery Place 35 Livery Street Birmingham B3 2PB, UK ISBN 978-1-84951-728-7 www.packtpub.com Cover Image by J.Blaminsky (milak6@wp.pl) Credits Authors Srinath Perera Project Coordinator Amey Sawant Thilina Gunarathne Proofreader Reviewers Mario Cecere Masatake Iwasaki Shinichi Yamashita Acquisition Editor Robin de Jongh Lead Technical Editor Arun Nadar Technical Editors Vrinda Amberkar Dennis John Dominic Pereira Indexer Hemangini Bari Graphics Valentina D'Silva Production Coordinator Arvindkumar Gupta Cover Work Arvindkumar Gupta About the Authors Srinath Perera is a Senior Software Architect at WSO2 Inc., where he overlooks the overall WSO2 platform architecture with the CTO He also serves as a Research Scientist at Lanka Software Foundation and teaches as a visiting faculty at Department of Computer Science and Engineering, University of Moratuwa He is a co-founder of Apache Axis2 open source project, and he has been involved with the Apache Web Service project since 2002, and is a member of Apache Software foundation and Apache Web Service project PMC Srinath is also a committer of Apache open source projects Axis, Axis2, and Geronimo He received his Ph.D and M.Sc in Computer Sciences from Indiana University, Bloomington, USA and received his Bachelor of Science in Computer Science and Engineering from University of Moratuwa, Sri Lanka Srinath has authored many technical and peer reviewed research articles, and more detail can be found from his website He is also a frequent speaker at technical venues He has worked with large-scale distributed systems for a long time He closely works with Big Data technologies, such as Hadoop and Cassandra daily He also teaches a parallel programming graduate class at University of Moratuwa, which is primarily based on Hadoop I would like to thank my wife Miyuru and my parents, whose never-ending support keeps me going I also like to thanks Sanjiva from WSO2 who encourage us to make our mark even though project like these are not in the job description Finally I would like to thank my colleges at WSO2 for ideas and companionship that have shaped the book in many ways Thilina Gunarathne is a Ph.D candidate at the School of Informatics and Computing of Indiana University He has extensive experience in using Apache Hadoop and related technologies for large-scale data intensive computations His current work focuses on developing technologies to perform scalable and efficient large-scale data intensive computations on cloud environments Thilina has published many articles and peer reviewed research papers in the areas of distributed and parallel computing, including several papers on extending MapReduce model to perform efficient data mining and data analytics computations on clouds Thilina is a regular presenter in both academic as well as industry settings Thilina has contributed to several open source projects at Apache Software Foundation as a committer and a PMC member since 2005 Before starting the graduate studies, Thilina worked as a Senior Software Engineer at WSO2 Inc., focusing on open source middleware development Thilina received his B.Sc in Computer Science and Engineering from University of Moratuwa, Sri Lanka, in 2006 and received his M.Sc in Computer Science from Indiana University, Bloomington, in 2009 Thilina expects to receive his doctorate in the field of distributed and parallel computing in 2013 This book would not have been a success without the direct and indirect help from many people Thanks to my wife and my son for putting up with me for all the missing family times and for providing me with love and encouragement throughout the writing period Thanks to my parents, without whose love, guidance and encouragement, I would not be where I am today Thanks to my advisor Prof Geoffrey Fox for his excellent guidance and providing me with the environment to work on Hadoop and related technologies Thanks to the HBase, Mahout, Pig, Hive, Nutch, and Lucene communities for developing great open source products Thanks to Apache Software Foundation for fostering vibrant open source communities Thanks to the editorial staff at Packt, for providing me the opportunity to write this book and for providing feedback and guidance throughout the process Thanks to the reviewers for reviewing this book, catching my mistakes, and for the many useful suggestions Thanks to all of my past and present mentors and teachers, including Dr Sanjiva Weerawarana of WSO2, Prof Dennis Gannon, Prof Judy Qiu, Prof Beth Plale, all my professors at Indiana University and University of Moratuwa for all the knowledge and guidance they gave me Thanks to all my past and present colleagues for many insightful discussions and the knowledge they shared with me About the Reviewers Masatake Iwasaki is Software Engineer at NTT DATA Corporation He provides technical consultation for Open Source software such as Hadoop, HBase, and PostgreSQL Shinichi Yamashita is a Chief Engineer at OSS professional service unit in NTT DATA Corporation in Japan He has more than seven years' experience in software and middleware (Apache, Tomcat, PostgreSQL, and Hadoop eco system) engineering NTT DATA is your Innovation Partner anywhere around the world It provides professional services from consulting, and system development to business IT outsourcing In Japan, he has authored some books on Hadoop I thank my co-workers www.PacktPub.com Support files, eBooks, discount offers and more You might want to visit www.PacktPub.com for support files and downloads related to your book Did you know that Packt offers eBook versions of every book published, with PDF and ePub files available? You can upgrade to the eBook version at www.PacktPub.com and as a print book customer, you are entitled to a discount on the eBook copy Get in touch with us at service@packtpub.com for more details At www.PacktPub.com, you can also read a collection of free technical articles, sign up for a range of free newsletters and receive exclusive discounts and offers on Packt books and eBooks http://PacktLib.PacktPub.com Do you need instant solutions to your IT questions? PacktLib is Packt's online digital book library Here, you can access, read and search across Packt's entire library of books Why Subscribe? ff Fully searchable across every book published by Packt ff Copy and paste, print and bookmark content ff On demand and accessible via web browser Free Access for Packt account holders If you have an account with Packt at www.PacktPub.com, you can use this to access PacktLib today and view nine entirely free books Simply use your login credentials for immediate access Table of Contents Preface 1 Chapter 1: Getting Hadoop Up and Running in a Cluster Introduction 5 Setting up Hadoop on your machine Writing a WordCount MapReduce sample, bundling it, and running it using standalone Hadoop Adding the combiner step to the WordCount MapReduce program 12 Setting up HDFS 13 Using HDFS monitoring UI 17 HDFS basic command-line file operations 18 Setting Hadoop in a distributed cluster environment 20 Running the WordCount program in a distributed cluster environment 24 Using MapReduce monitoring UI 26 Chapter 2: Advanced HDFS 29 Introduction 29 Benchmarking HDFS 30 Adding a new DataNode 31 Decommissioning DataNodes 33 Using multiple disks/volumes and limiting HDFS disk usage 34 Setting HDFS block size 35 Setting the file replication factor 36 Using HDFS Java API 38 Using HDFS C API (libhdfs) 42 Mounting HDFS (Fuse-DFS) 46 Merging files in HDFS 49 .. .Hadoop MapReduce Cookbook Recipes for analyzing large and complex datasets with Hadoop MapReduce Srinath Perera Thilina Gunarathne BIRMINGHAM - MUMBAI Hadoop MapReduce Cookbook Copyright... logging to /root /hadoop- setupsrinath /hadoop- 1.0.0/libexec/ /logs /hadoop- root-datanode-node6 beta.out 209.126.198.72: starting secondarynamenode, logging to /root/ hadoop- setup -srinath /hadoop- 1.0.0/libexec/... Complex Hadoop MapReduce Applications, introduces you to several advanced Hadoop MapReduce features that will help you to develop highly customized, efficient MapReduce applications Chapter 5, Hadoop

Ngày đăng: 04/03/2019, 14:27

w