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MongoDB Cookbook - Second Edition

You're reading from   MongoDB Cookbook - Second Edition Modern Database Management Made Easy

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781785289989
Length 370 pages
Edition 2nd Edition
Tools
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Authors (2):
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Amol Nayak Amol Nayak
Author Profile Icon Amol Nayak
Amol Nayak
Cyrus Dasadia Cyrus Dasadia
Author Profile Icon Cyrus Dasadia
Cyrus Dasadia
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Toc

Table of Contents (12) Chapters Close

Preface 1. Installing and Starting the Server 2. Command-line Operations and Indexes FREE CHAPTER 3. Programming Language Drivers 4. Administration 5. Advanced Operations 6. Monitoring and Backups 7. Deploying MongoDB on the Cloud 8. Integration with Hadoop 9. Open Source and Proprietary Tools A. Concepts for Reference Index

Executing our first sample MapReduce job using the mongo-hadoop connector


In this recipe, we will see how to build the mongo-hadoop connector from the source and set up Hadoop just for the purpose of running the examples in the standalone mode. The connector is the backbone that runs Hadoop MapReduce jobs on Hadoop using the data in Mongo.

Getting ready

There are various distributions of Hadoop; however, we will use Apache Hadoop (http://hadoop.apache.org/). The installation will be done on Ubuntu Linux. Apache Hadoop always runs on the Linux environment for production, and Windows is not tested for production systems. For development purposes, Windows can be used. If you are a Windows user, I would recommend that you install a virtualization environment such as VirtualBox (https://www.virtualbox.org/), set up a Linux environment, and then install Hadoop on it. Setting up VirtualBox and Linux on it is not shown in this recipe, but this is not a tedious task. The prerequisite for this recipe...

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