| 程序包 | 说明 |
|---|---|
| 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.examples.terasort |
This package consists of 3 map/reduce applications for Hadoop to
compete in the annual terabyte sort
competition.
|
| 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.
|
| org.apache.hadoop.tools |
| 限定符和类型 | 方法和说明 |
|---|---|
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) |
| 限定符和类型 | 方法和说明 |
|---|---|
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) |
| 限定符和类型 | 方法和说明 |
|---|---|
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) |
| 限定符和类型 | 方法和说明 |
|---|---|
void |
SleepJob.map(IntWritable key,
IntWritable value,
OutputCollector<IntWritable,NullWritable> output,
Reporter reporter) |
void |
PiEstimator.PiMapper.map(LongWritable offset,
LongWritable size,
OutputCollector<BooleanWritable,LongWritable> out,
Reporter reporter)
Map method.
|
void |
MultiFileWordCount.MapClass.map(MultiFileWordCount.WordOffset key,
Text value,
OutputCollector<Text,LongWritable> output,
Reporter reporter) |
void |
PiEstimator.PiReducer.reduce(BooleanWritable isInside,
Iterator<LongWritable> values,
OutputCollector<WritableComparable<?>,Writable> output,
Reporter reporter)
Accumulate number of points inside/outside results from the mappers.
|
void |
SleepJob.reduce(IntWritable key,
Iterator<NullWritable> values,
OutputCollector<NullWritable,NullWritable> output,
Reporter reporter) |
| 限定符和类型 | 方法和说明 |
|---|---|
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).
|
| 限定符和类型 | 方法和说明 |
|---|---|
void |
TeraGen.SortGenMapper.map(LongWritable row,
NullWritable ignored,
OutputCollector<Text,Text> output,
Reporter reporter) |
| 限定符和类型 | 类和说明 |
|---|---|
protected static class |
Task.CombineOutputCollector<K,V>
OutputCollector for the combiner.
|
| 限定符和类型 | 方法和说明 |
|---|---|
protected void |
Task.OldCombinerRunner.combine(RawKeyValueIterator kvIter,
OutputCollector<K,V> combineCollector) |
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.
|
| 限定符和类型 | 方法和说明 |
|---|---|
OutputCollector |
MultipleOutputs.getCollector(String namedOutput,
Reporter reporter)
Gets the output collector for a named output.
|
OutputCollector |
MultipleOutputs.getCollector(String namedOutput,
String multiName,
Reporter reporter)
Gets the output collector for a multi named output.
|
| 限定符和类型 | 方法和说明 |
|---|---|
void |
DelegatingMapper.map(K1 key,
V1 value,
OutputCollector<K2,V2> outputCollector,
Reporter reporter) |
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 |
ChainMapper.map(Object key,
Object value,
OutputCollector output,
Reporter reporter)
Chains the
map(...) |
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 |
ChainReducer.reduce(Object key,
Iterator values,
OutputCollector output,
Reporter reporter)
Chains the
reduce(...) |
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) |
| 限定符和类型 | 方法和说明 |
|---|---|
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.
|
| 限定符和类型 | 方法和说明 |
|---|---|
void |
PipeMapper.map(Object key,
Object value,
OutputCollector output,
Reporter reporter) |
void |
PipeReducer.reduce(Object key,
Iterator values,
OutputCollector output,
Reporter reporter) |
void |
PipeMapRunner.run(RecordReader<K1,V1> input,
OutputCollector<K2,V2> output,
Reporter reporter) |
| 限定符和类型 | 方法和说明 |
|---|---|
void |
Logalyzer.LogRegexMapper.map(K key,
Text value,
OutputCollector<Text,LongWritable> output,
Reporter reporter) |
Copyright © 2009 The Apache Software Foundation