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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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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 – exporting data from MySQL into Hive


For this example, we'll export all the data from a single MySQL table into a correspondingly named table in Hive. You will need Hive installed and configured as detailed in the previous chapter.

  1. Delete the output directory created in the previous section:

    $ hadoop fs -rmr employees
    

    You will receive the following response:

    Deleted hdfs://head:9000/user/hadoop/employees
    
  2. Confirm Hive doesn't already contain an employees table:

    $ hive -e "show tables like 'employees'"
    

    You will receive the following response:

    OK
    Time taken: 2.318 seconds
    
  3. Perform the Sqoop import:

    $ sqoop import --connect jdbc:mysql://10.0.0.100/hadooptest 
    --username hadoopuser -P
    --table employees --hive-import --hive-table employees  
    
  4. Check the contents in Hive:

    $ hive -e "select * from employees"
    

    You will receive the following response:

    OK
    Alice  Engineering  50000  2009-03-12
    Camille  Marketing  40000  2003-04-20
    David  Executive  75000  2001-03-20
    Erica  Support  34000...
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