org.apache.hadoop.mapred.lib
Class RegexMapper<K>

java.lang.Object
  extended by org.apache.hadoop.mapred.MapReduceBase
      extended by org.apache.hadoop.mapred.lib.RegexMapper<K>
All Implemented Interfaces:
Closeable, JobConfigurable, Mapper<K,Text,Text,LongWritable>

@InterfaceAudience.Public
@InterfaceStability.Stable
public class RegexMapper<K>
extends MapReduceBase
implements Mapper<K,Text,Text,LongWritable>

A Mapper that extracts text matching a regular expression.


Constructor Summary
RegexMapper()
           
 
Method Summary
 void configure(JobConf job)
          Default implementation that does nothing.
 void map(K key, Text value, OutputCollector<Text,LongWritable> output, Reporter reporter)
          Maps a single input key/value pair into an intermediate key/value pair.
 
Methods inherited from class org.apache.hadoop.mapred.MapReduceBase
close
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 
Methods inherited from interface java.io.Closeable
close
 

Constructor Detail

RegexMapper

public RegexMapper()
Method Detail

configure

public void configure(JobConf job)
Description copied from class: MapReduceBase
Default implementation that does nothing.

Specified by:
configure in interface JobConfigurable
Overrides:
configure in class MapReduceBase
Parameters:
job - the configuration

map

public void map(K key,
                Text value,
                OutputCollector<Text,LongWritable> output,
                Reporter reporter)
         throws IOException
Description copied from interface: Mapper
Maps a single input key/value pair into an intermediate key/value pair.

Output pairs need not be of the same types as input pairs. A given input pair may map to zero or many output pairs. Output pairs are collected with calls to OutputCollector.collect(Object,Object).

Applications can use the Reporter provided to report progress or just indicate that they are alive. In scenarios where the application takes significant amount of time to process individual key/value pairs, this is crucial since the framework might assume that the task has timed-out and kill that task. The other way of avoiding this is to set mapreduce.task.timeout to a high-enough value (or even zero for no time-outs).

Specified by:
map in interface Mapper<K,Text,Text,LongWritable>
Parameters:
key - the input key.
value - the input value.
output - collects mapped keys and values.
reporter - facility to report progress.
Throws:
IOException


Copyright © 2012 Apache Software Foundation. All Rights Reserved.