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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 | |
BaileyBorweinPlouffe | A map/reduce program that uses Bailey-Borwein-Plouffe to compute exact digits of Pi. |
BaileyBorweinPlouffe.BbpInputFormat | Input format for the BaileyBorweinPlouffe.BbpMapper . |
BaileyBorweinPlouffe.BbpMapper | Mapper class computing digits of Pi. |
BaileyBorweinPlouffe.BbpReducer | Reducer for concatenating map outputs. |
BaileyBorweinPlouffe.BbpSplit | Input split for the BaileyBorweinPlouffe.BbpInputFormat . |
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 | Given a set of sorted datasets keyed with the same class and yielding equal partitions, it is possible to effect a join of those datasets prior to the map. |
MultiFileWordCount | MultiFileWordCount is an example to demonstrate the usage of MultiFileInputFormat. |
MultiFileWordCount.CombineFileLineRecordReader | RecordReader is responsible from extracting records from a chunk of the CombineFileSplit. |
MultiFileWordCount.MapClass | This Mapper is similar to the one in MultiFileWordCount.MapClass . |
MultiFileWordCount.MyInputFormat | To use CombineFileInputFormat , one should extend it, to return a
(custom) RecordReader . |
MultiFileWordCount.WordOffset | This record keeps <filename,offset> pairs. |
QuasiMonteCarlo | A map/reduce program that estimates the value of Pi using a quasi-Monte Carlo (qMC) method. |
QuasiMonteCarlo.QmcMapper | Mapper class for Pi estimation. |
QuasiMonteCarlo.QmcReducer | 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. |
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 |
Hadoop example code.
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