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Packages that use OutputCollector | |
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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.hbase.mapred | |
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 | |
org.apache.hadoop.util | Common utilities. |
Uses of OutputCollector in org.apache.hadoop.contrib.utils.join |
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Methods in org.apache.hadoop.contrib.utils.join with parameters of type OutputCollector | |
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protected void |
DataJoinReducerBase.collect(WritableComparable 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(WritableComparable arg0,
Writable arg1,
OutputCollector arg2,
Reporter arg3)
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void |
DataJoinMapperBase.map(WritableComparable key,
Writable value,
OutputCollector output,
Reporter reporter)
|
void |
DataJoinReducerBase.reduce(WritableComparable key,
Iterator values,
OutputCollector output,
Reporter reporter)
|
void |
DataJoinMapperBase.reduce(WritableComparable arg0,
Iterator arg1,
OutputCollector arg2,
Reporter arg3)
|
Uses of OutputCollector in org.apache.hadoop.examples |
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Methods in org.apache.hadoop.examples with parameters of type OutputCollector | |
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void |
SleepJob.map(IntWritable key,
IntWritable value,
OutputCollector<IntWritable,IntWritable> output,
Reporter reporter)
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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 |
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 |
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Methods in org.apache.hadoop.examples.dancing with parameters of type OutputCollector | |
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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.hbase.mapred |
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Fields in org.apache.hadoop.hbase.mapred declared as OutputCollector | |
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OutputCollector |
TableOutputCollector.collector
The collector object |
Methods in org.apache.hadoop.hbase.mapred with parameters of type OutputCollector | |
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void |
TableMap.map(WritableComparable key,
Writable value,
OutputCollector output,
Reporter reporter)
Input: |
void |
IndexTableReduce.reduce(Text key,
Iterator<MapWritable> values,
OutputCollector<Text,org.apache.hadoop.hbase.mapred.LuceneDocumentWrapper> output,
Reporter reporter)
|
void |
TableReduce.reduce(WritableComparable key,
Iterator values,
OutputCollector output,
Reporter reporter)
Create a unique key for table insertion by appending a local counter the given key. |
Uses of OutputCollector in org.apache.hadoop.mapred |
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Methods in org.apache.hadoop.mapred with parameters of type OutputCollector | |
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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 |
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Methods in org.apache.hadoop.mapred.lib with parameters of type OutputCollector | |
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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 |
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Methods in org.apache.hadoop.mapred.lib.aggregate with parameters of type OutputCollector | |
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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 |
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Methods in org.apache.hadoop.streaming with parameters of type OutputCollector | |
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void |
PipeMapper.map(WritableComparable key,
Writable value,
OutputCollector output,
Reporter reporter)
|
void |
PipeReducer.reduce(WritableComparable key,
Iterator values,
OutputCollector output,
Reporter reporter)
|
Uses of OutputCollector in org.apache.hadoop.tools |
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Methods in org.apache.hadoop.tools with parameters of type OutputCollector | |
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void |
Logalyzer.LogRegexMapper.map(K key,
Text value,
OutputCollector<Text,LongWritable> output,
Reporter reporter)
|
Uses of OutputCollector in org.apache.hadoop.util |
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Methods in org.apache.hadoop.util with parameters of type OutputCollector | |
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void |
CopyFiles.FSCopyFilesMapper.map(LongWritable key,
org.apache.hadoop.util.CopyFiles.FilePair value,
OutputCollector<WritableComparable,Text> out,
Reporter reporter)
Map method. |
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