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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 | |
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 WordCount.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 estimaate the valu eof Pi using monte-carlo method. |
PiEstimator.PiMapper | Mappper class for Pi estimation. |
PiEstimator.PiReducer | |
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. |
SleepJob | Dummy class for testing MR framefork. |
Sort | This is the trivial map/reduce program that does absolutely nothing other than use the framework to fragment and sort the input values. |
WordCount | This is an example Hadoop Map/Reduce application. |
WordCount.MapClass | Counts the words in each line. |
WordCount.Reduce | A reducer class that just emits the sum of the input values. |
Hadoop example code.
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