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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 query output


We have previously either loaded large quantities of data into Hive or extracted very small quantities as query results. We can also export large result sets; let us look at an example.

  1. Recreate the previously used view:

    $ hive -f view.hql
    
  2. Create the following file as export.hql:

    INSERT OVERWRITE DIRECTORY '/tmp/out'
    SELECT reported, shape, state
    FROM usa_sightings
    WHERE state = 'California' ;
  3. Execute the script:

    $ hive -f export.hql
    

    You will receive the following response:

    2012-03-04 06:20:44,571 Stage-1 map = 100%,  reduce = 100%
    Ended Job = job_201203040432_0029
    Moving data to: /tmp/out
    7599 Rows loaded to /tmp/out
    MapReduce Jobs Launched: 
    Job 0: Map: 2  Reduce: 1   HDFS Read: 75416863 HDFS Write: 210901 SUCESS
    Total MapReduce CPU Time Spent: 0 msec
    OK
    Time taken: 46.669 seconds
    
  4. Look in the specified output directory:

    $ hadoop fs -ls /tmp/out
    

    You will receive the following response:

    Found 1 items
    -rw-r--r--   3 hadoop supergroup     210901 … /tmp...
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