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Hadoop Beginner's Guide

You're reading from   Hadoop Beginner's Guide Get your mountain of data under control with Hadoop. This guide requires no prior knowledge of the software or cloud services ‚Äì just a willingness to learn the basics from this practical step-by-step tutorial.

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Product type Paperback
Published in Feb 2013
Publisher Packt
ISBN-13 9781849517300
Length 398 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (19) Chapters Close

Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. What It's All About 2. Getting Hadoop Up and Running FREE CHAPTER 3. Understanding MapReduce 4. Developing MapReduce Programs 5. Advanced MapReduce Techniques 6. When Things Break 7. Keeping Things Running 8. A Relational View on Data with Hive 9. Working with Relational Databases 10. Data Collection with Flume 11. Where to Go Next Pop Quiz Answers 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...
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