Book Image

Hadoop Beginner's Guide

Book Image

Hadoop Beginner's Guide

Overview of this book

Data is arriving faster than you can process it and the overall volumes keep growing at a rate that keeps you awake at night. Hadoop can help you tame the data beast. Effective use of Hadoop however requires a mixture of programming, design, and system administration skills."Hadoop Beginner's Guide" removes the mystery from Hadoop, presenting Hadoop and related technologies with a focus on building working systems and getting the job done, using cloud services to do so when it makes sense. From basic concepts and initial setup through developing applications and keeping the system running as the data grows, the book gives the understanding needed to effectively use Hadoop to solve real world problems.Starting with the basics of installing and configuring Hadoop, the book explains how to develop applications, maintain the system, and how to use additional products to integrate with other systems.While learning different ways to develop applications to run on Hadoop the book also covers tools such as Hive, Sqoop, and Flume that show how Hadoop can be integrated with relational databases and log collection.In addition to examples on Hadoop clusters on Ubuntu uses of cloud services such as Amazon, EC2 and Elastic MapReduce are covered.
Table of Contents (19 chapters)
Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Time for action – importing data from Hadoop into MySQL


Let's demonstrate this by importing data into a MySQL table from an HDFS file.

  1. Create a tab-separated file named newemployees.tsv with the following entries:

    Frances  Operations  34000  2012-03-01
    Greg  Engineering  60000  2003-11-18
    Harry  Intern  22000  2012-05-15
    Iris  Executive  80000  2001-04-08
    Jan  Support  28500  2009-03-30
  2. Create a new directory on HDFS and copy the file into it:

    $hadoop fs -mkdir edata
    $ hadoop fs -put newemployees.tsv edata/newemployees.tsv
    
  3. Confirm the current number of records in the employee table:

    $ echo "select count(*) from employees" | 
    mysql –u hadoopuser –p hadooptest
    

    You will receive the following response:

    Enter password: 
    count(*)
    5
    
  4. Run a Sqoop export:

    $ sqoop export --connect jdbc:mysql://10.0.0.100/hadooptest 
    --username hadoopuser  -P --table employees 
    --export-dir edata --input-fields-terminated-by '\t'
    

    You will receive the following response:

    12/05/27 07:52:22 INFO mapreduce.ExportJobBase...