## Uses of Interface
org.apache.hadoop.mapred.Reporter

Packages that use Reporter
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.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.
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.mapred.lib.db: org.apache.hadoop.mapred.lib.db Package
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 Reporter in org.apache.hadoop.contrib.index.example

Methods in org.apache.hadoop.contrib.index.example with parameters of type Reporter
`RecordReader<DocumentID,LineDocTextAndOp>` `LineDocInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)`
`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 Reporter in org.apache.hadoop.contrib.index.mapred

Methods in org.apache.hadoop.contrib.index.mapred with parameters of type Reporter
`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 Reporter in org.apache.hadoop.contrib.utils.join

Fields in org.apache.hadoop.contrib.utils.join declared as Reporter
`protected Reporter` `DataJoinMapperBase.reporter`
`protected Reporter` `DataJoinReducerBase.reporter`

Methods in org.apache.hadoop.contrib.utils.join with parameters of type Reporter
`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` `DataJoinMapperBase.map(Object key, Object value, OutputCollector output, Reporter reporter)`
`void` `DataJoinReducerBase.map(Object arg0, Object arg1, OutputCollector arg2, Reporter arg3)`
`void` `DataJoinMapperBase.reduce(Object arg0, Iterator arg1, OutputCollector arg2, Reporter arg3)`
`void` `DataJoinReducerBase.reduce(Object key, Iterator values, OutputCollector output, Reporter reporter)`

Uses of Reporter in org.apache.hadoop.examples

Methods in org.apache.hadoop.examples with parameters of type Reporter
`RecordReader<IntWritable,IntWritable>` `SleepJob.SleepInputFormat.getRecordReader(InputSplit ignored, JobConf conf, Reporter reporter)`
`RecordReader<MultiFileWordCount.WordOffset,Text>` `MultiFileWordCount.MyInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)`
`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)`

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

Methods in org.apache.hadoop.examples.dancing with parameters of type Reporter
`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 Reporter in org.apache.hadoop.examples.terasort

Methods in org.apache.hadoop.examples.terasort with parameters of type Reporter
`RecordReader<Text,Text>` `TeraInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)`
`void` `TeraGen.SortGenMapper.map(LongWritable row, NullWritable ignored, OutputCollector<Text,Text> output, Reporter reporter)`

Uses of Reporter in org.apache.hadoop.mapred

Classes in org.apache.hadoop.mapred that implement Reporter
`protected class` `Task.TaskReporter`

Fields in org.apache.hadoop.mapred declared as Reporter
`static Reporter` `Reporter.NULL` A constant of Reporter type that does nothing.

Methods in org.apache.hadoop.mapred with parameters of type Reporter
`void` `RecordWriter.close(Reporter reporter)` Close this `RecordWriter` to future operations.
`void` `TextOutputFormat.LineRecordWriter.close(Reporter reporter)`
`RecordReader<K,V>` `InputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)` Get the `RecordReader` for the given `InputSplit`.
`RecordReader<BytesWritable,BytesWritable>` `SequenceFileAsBinaryInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)`
`RecordReader<K,V>` `SequenceFileInputFilter.getRecordReader(InputSplit split, JobConf job, Reporter reporter)` Create a record reader for the given split
`RecordReader<K,V>` `SequenceFileInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)`
`RecordReader<LongWritable,Text>` `TextInputFormat.getRecordReader(InputSplit genericSplit, JobConf job, Reporter reporter)`
`RecordReader<Text,Text>` `SequenceFileAsTextInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)`
`abstract RecordReader<K,V>` `FileInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)`
`RecordReader<Text,Text>` `KeyValueTextInputFormat.getRecordReader(InputSplit genericSplit, JobConf job, Reporter reporter)`
`abstract RecordReader<K,V>` `MultiFileInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)` Deprecated.
`void` `Task.initialize(JobConf job, JobID id, Reporter reporter, boolean useNewApi)`
`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` `MapRunnable.run(RecordReader<K1,V1> input, OutputCollector<K2,V2> output, Reporter reporter)` Start mapping input `<key, value>` pairs.
`void` `MapRunner.run(RecordReader<K1,V1> input, OutputCollector<K2,V2> output, Reporter reporter)`

Constructors in org.apache.hadoop.mapred with parameters of type Reporter
`Task.CombineValuesIterator(RawKeyValueIterator in, RawComparator<KEY> comparator, Class<KEY> keyClass, Class<VALUE> valClass, Configuration conf, Reporter reporter, Counters.Counter combineInputCounter)`

Uses of Reporter in org.apache.hadoop.mapred.join

Methods in org.apache.hadoop.mapred.join with parameters of type Reporter
`ComposableRecordReader<K,V>` `ComposableInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)`
`ComposableRecordReader<K,TupleWritable>` `CompositeInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)` Construct a CompositeRecordReader for the children of this InputFormat as defined in the init expression.

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

Fields in org.apache.hadoop.mapred.lib declared as Reporter
`protected Reporter` `CombineFileRecordReader.reporter`

Methods in org.apache.hadoop.mapred.lib with parameters of type Reporter
`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.
`RecordReader<K,V>` `DelegatingInputFormat.getRecordReader(InputSplit split, JobConf conf, Reporter reporter)`
`abstract RecordReader<K,V>` `CombineFileInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)` This is not implemented yet.
`RecordReader<LongWritable,Text>` `NLineInputFormat.getRecordReader(InputSplit genericSplit, JobConf job, Reporter reporter)`
`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(...)` methods of the Mappers in the chain.
`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(...)` method of the Reducer with the `map(...)` methods of the Mappers in the chain.
`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)`

Constructors in org.apache.hadoop.mapred.lib with parameters of type Reporter
`CombineFileRecordReader(JobConf job, CombineFileSplit split, Reporter reporter, Class<RecordReader<K,V>> rrClass)` A generic RecordReader that can hand out different recordReaders for each chunk in the CombineFileSplit.

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

Methods in org.apache.hadoop.mapred.lib.aggregate with parameters of type Reporter
`void` `ValueAggregatorCombiner.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` `ValueAggregatorReducer.map(K1 arg0, V1 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.
`void` `ValueAggregatorMapper.reduce(Text arg0, Iterator<Text> arg1, OutputCollector<Text,Text> arg2, Reporter arg3)` Do nothing.
`void` `ValueAggregatorReducer.reduce(Text key, Iterator<Text> values, OutputCollector<Text,Text> output, Reporter reporter)`

Uses of Reporter in org.apache.hadoop.mapred.lib.db

Methods in org.apache.hadoop.mapred.lib.db with parameters of type Reporter
`void` `DBOutputFormat.DBRecordWriter.close(Reporter reporter)` Close this `RecordWriter` to future operations.
`RecordReader<LongWritable,T>` `DBInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)` Get the `RecordReader` for the given `InputSplit`.

Uses of Reporter in org.apache.hadoop.streaming

Methods in org.apache.hadoop.streaming with parameters of type Reporter
`RecordReader<Text,Text>` `StreamInputFormat.getRecordReader(InputSplit genericSplit, JobConf job, Reporter reporter)`
`RecordReader` `AutoInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)`
`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)`

Constructors in org.apache.hadoop.streaming with parameters of type Reporter
`StreamBaseRecordReader(FSDataInputStream in, FileSplit split, Reporter reporter, JobConf job, FileSystem fs)`
`StreamXmlRecordReader(FSDataInputStream in, FileSplit split, Reporter reporter, JobConf job, FileSystem fs)`

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