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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 FREE CHAPTER 2. Getting Hadoop Up and Running 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 – using ChainMapper for field validation/analysis


Let's use this principle and employ the ChainMapper class to help us provide some record validation within our job:

  1. Create the following class as UFORecordValidationMapper.java:

    import java.io.IOException;
    
    import org.apache.hadoop.io.* ;
    import org.apache.hadoop.mapred.* ;
    import org.apache.hadoop.mapred.lib.* ;
    
    public class UFORecordValidationMapper extends MapReduceBase
    implements Mapper<LongWritable, Text, LongWritable, Text>
    {
    
        public void map(LongWritable key, Text value,
            OutputCollector<LongWritable, Text> output,
            Reporter reporter) throws IOException
    {
    String line = value.toString();
            if (validate(line))
                output.collect(key, value);
        }
    
            private boolean validate(String str)
            {
                String[] parts = str.split("\t") ;
    
                if (parts.length != 6)
                return false ;
    
                return true ;
            }
        }
  2. Create the following as...

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