Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES

## Package org.apache.hadoop.examples

Hadoop example code.

See:
Description

Class Summary
AggregateWordCount | This is an example Aggregated Hadoop Map/Reduce application.
AggregateWordCount.WordCountPlugInClass |
AggregateWordHistogram | This is an example Aggregated Hadoop Map/Reduce application.
AggregateWordHistogram.AggregateWordHistogramPlugin |
DBCountPageView | This is a demonstrative program, which uses DBInputFormat for reading the input data from a database, and DBOutputFormat for writing the data to the database.
ExampleDriver | A description of an example program based on its class and a human-readable description.
Grep |
Join | This is the trivial map/reduce program that does absolutely nothing other than use the framework to fragment and sort the input values.
MultiFileWordCount | MultiFileWordCount is an example to demonstrate the usage of MultiFileInputFormat.
MultiFileWordCount.MapClass | This Mapper is similar to the one in `MultiFileWordCount.MapClass`.
MultiFileWordCount.MultiFileLineRecordReader | RecordReader is responsible from extracting records from the InputSplit.
MultiFileWordCount.MyInputFormat | To use `MultiFileInputFormat`, one should extend it, to return a (custom) `RecordReader`.
MultiFileWordCount.WordOffset | This record keeps <filename,offset> pairs.
PiEstimator | A Map-reduce program to estimate the value of Pi using quasi-Monte Carlo method.
PiEstimator.PiMapper | Mapper class for Pi estimation.
PiEstimator.PiReducer | Reducer class for Pi estimation.
RandomTextWriter | This program uses map/reduce to just run a distributed job where there is no interaction between the tasks and each task writes a large unsorted random sequence of words.
RandomWriter | This program uses map/reduce to just run a distributed job where there is no interaction between the tasks and each task write a large unsorted random binary sequence file of BytesWritable.
SecondarySort | This is an example Hadoop Map/Reduce application.
SecondarySort.FirstGroupingComparator | Compare only the first part of the pair, so that reduce is called once for each value of the first part.
SecondarySort.FirstPartitioner | Partition based on the first part of the pair.
SecondarySort.IntPair | Define a pair of integers that are writable.
SecondarySort.IntPair.Comparator | A Comparator that compares serialized IntPair.
SecondarySort.MapClass | Read two integers from each line and generate a key, value pair as ((left, right), right).
SecondarySort.Reduce | A reducer class that just emits the sum of the input values.
SleepJob | Dummy class for testing MR framefork.
SleepJob.EmptySplit |
SleepJob.SleepInputFormat |
Sort<K,V> | This is the trivial map/reduce program that does absolutely nothing other than use the framework to fragment and sort the input values.
WordCount |
WordCount.IntSumReducer |
WordCount.TokenizerMapper |

## Package org.apache.hadoop.examples Description

Hadoop example code.

Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES

Copyright © 2009 The Apache Software Foundation