Uses of Interface
org.apache.hadoop.mapred.OutputCollector

Packages that use OutputCollector

org.apache.hadoop.contrib.index.example
org.apache.hadoop.contrib.index.mapred
org.apache.hadoop.contrib.utils.join
org.apache.hadoop.examples	Hadoop example code.
org.apache.hadoop.examples.dancing	This package is a distributed implementation of Knuth's dancing links algorithm that can run under Hadoop.
org.apache.hadoop.mapred	A software framework for easily writing applications which process vast amounts of data (multi-terabyte data-sets) parallelly on large clusters (thousands of nodes) built of commodity hardware in a reliable, fault-tolerant manner.
org.apache.hadoop.mapred.lib	Library of generally useful mappers, reducers, and partitioners.
org.apache.hadoop.mapred.lib.aggregate	Classes for performing various counting and aggregations.
org.apache.hadoop.streaming	Hadoop Streaming is a utility which allows users to create and run Map-Reduce jobs with any executables (e.g.

Uses of OutputCollector in org.apache.hadoop.contrib.index.example

Methods in org.apache.hadoop.contrib.index.example with parameters of type OutputCollector

void	IdentityLocalAnalysis.map(DocumentID key, DocumentAndOp value, OutputCollector<DocumentID,DocumentAndOp> output, Reporter reporter)
void	LineDocLocalAnalysis.map(DocumentID key, LineDocTextAndOp value, OutputCollector<DocumentID,DocumentAndOp> output, Reporter reporter)

Uses of OutputCollector in org.apache.hadoop.contrib.index.mapred

Methods in org.apache.hadoop.contrib.index.mapred with parameters of type OutputCollector

void	IndexUpdateMapper.map(K key, V value, OutputCollector<Shard,IntermediateForm> output, Reporter reporter) Map a key-value pair to a shard-and-intermediate form pair.
void	IndexUpdateCombiner.reduce(Shard key, Iterator<IntermediateForm> values, OutputCollector<Shard,IntermediateForm> output, Reporter reporter)
void	IndexUpdateReducer.reduce(Shard key, Iterator<IntermediateForm> values, OutputCollector<Shard,Text> output, Reporter reporter)

Uses of OutputCollector in org.apache.hadoop.contrib.utils.join

Methods in org.apache.hadoop.contrib.utils.join with parameters of type OutputCollector

protected void	DataJoinReducerBase.collect(Object key, TaggedMapOutput aRecord, OutputCollector output, Reporter reporter) The subclass can overwrite this method to perform additional filtering and/or other processing logic before a value is collected.
void	DataJoinReducerBase.map(Object arg0, Object arg1, OutputCollector arg2, Reporter arg3)
void	DataJoinMapperBase.map(Object key, Object value, OutputCollector output, Reporter reporter)
void	DataJoinReducerBase.reduce(Object key, Iterator values, OutputCollector output, Reporter reporter)
void	DataJoinMapperBase.reduce(Object arg0, Iterator arg1, OutputCollector arg2, Reporter arg3)

Uses of OutputCollector in org.apache.hadoop.examples

Methods in org.apache.hadoop.examples with parameters of type OutputCollector

void	SleepJob.map(IntWritable key, IntWritable value, OutputCollector<IntWritable,IntWritable> output, Reporter reporter)
void	WordCount.MapClass.map(LongWritable key, Text value, OutputCollector<Text,IntWritable> output, Reporter reporter)
void	PiEstimator.PiMapper.map(LongWritable key, Writable val, OutputCollector<LongWritable,LongWritable> out, Reporter reporter) Map method.
void	MultiFileWordCount.MapClass.map(MultiFileWordCount.WordOffset key, Text value, OutputCollector<Text,IntWritable> output, Reporter reporter)
void	SleepJob.reduce(IntWritable key, Iterator<IntWritable> values, OutputCollector<IntWritable,IntWritable> output, Reporter reporter)
void	PiEstimator.PiReducer.reduce(LongWritable key, Iterator<LongWritable> values, OutputCollector<WritableComparable,Writable> output, Reporter reporter) Reduce method.
void	WordCount.Reduce.reduce(Text key, Iterator<IntWritable> values, OutputCollector<Text,IntWritable> output, Reporter reporter)

Uses of OutputCollector in org.apache.hadoop.examples.dancing

Methods in org.apache.hadoop.examples.dancing with parameters of type OutputCollector

void	DistributedPentomino.PentMap.map(WritableComparable key, Text value, OutputCollector<Text,Text> output, Reporter reporter) Break the prefix string into moves (a sequence of integer row ids that will be selected for each column in order).

Uses of OutputCollector in org.apache.hadoop.mapred

Methods in org.apache.hadoop.mapred with parameters of type OutputCollector

void	Mapper.map(K1 key, V1 value, OutputCollector<K2,V2> output, Reporter reporter) Maps a single input key/value pair into an intermediate key/value pair.
void	Reducer.reduce(K2 key, Iterator<V2> values, OutputCollector<K3,V3> output, Reporter reporter) Reduces values for a given key.
void	MapRunner.run(RecordReader<K1,V1> input, OutputCollector<K2,V2> output, Reporter reporter)
void	MapRunnable.run(RecordReader<K1,V1> input, OutputCollector<K2,V2> output, Reporter reporter) Start mapping input <key, value> pairs.

Uses of OutputCollector in org.apache.hadoop.mapred.lib

Methods in org.apache.hadoop.mapred.lib with parameters of type OutputCollector

void	TokenCountMapper.map(K key, Text value, OutputCollector<Text,LongWritable> output, Reporter reporter)
void	RegexMapper.map(K key, Text value, OutputCollector<Text,LongWritable> output, Reporter reporter)
void	IdentityMapper.map(K key, V val, OutputCollector<K,V> output, Reporter reporter) The identify function.
void	FieldSelectionMapReduce.map(K key, V val, OutputCollector<Text,Text> output, Reporter reporter) The identify function.
void	InverseMapper.map(K key, V value, OutputCollector<V,K> output, Reporter reporter) The inverse function.
void	LongSumReducer.reduce(K key, Iterator<LongWritable> values, OutputCollector<K,LongWritable> output, Reporter reporter)
void	IdentityReducer.reduce(K key, Iterator<V> values, OutputCollector<K,V> output, Reporter reporter) Writes all keys and values directly to output.
void	FieldSelectionMapReduce.reduce(Text key, Iterator<Text> values, OutputCollector<Text,Text> output, Reporter reporter)
void	MultithreadedMapRunner.run(RecordReader<K1,V1> input, OutputCollector<K2,V2> output, Reporter reporter)

Uses of OutputCollector in org.apache.hadoop.mapred.lib.aggregate

Methods in org.apache.hadoop.mapred.lib.aggregate with parameters of type OutputCollector

void	ValueAggregatorReducer.map(K1 arg0, V1 arg1, OutputCollector<Text,Text> arg2, Reporter arg3) Do nothing.
void	ValueAggregatorMapper.map(K1 key, V1 value, OutputCollector<Text,Text> output, Reporter reporter) the map function.
void	ValueAggregatorCombiner.map(K1 arg0, V1 arg1, OutputCollector<Text,Text> arg2, Reporter arg3) Do nothing.
void	ValueAggregatorReducer.reduce(Text key, Iterator<Text> values, OutputCollector<Text,Text> output, Reporter reporter)
void	ValueAggregatorMapper.reduce(Text arg0, Iterator<Text> arg1, OutputCollector<Text,Text> arg2, Reporter arg3) Do nothing.
void	ValueAggregatorCombiner.reduce(Text key, Iterator<Text> values, OutputCollector<Text,Text> output, Reporter reporter) Combines values for a given key.

Uses of OutputCollector in org.apache.hadoop.streaming

Methods in org.apache.hadoop.streaming with parameters of type OutputCollector

void	PipeMapper.map(Object key, Object value, OutputCollector output, Reporter reporter)
void	PipeReducer.reduce(Object key, Iterator values, OutputCollector output, Reporter reporter)