Uses of Class
org.apache.hadoop.mapreduce.InputSplit

Packages that use InputSplit

Package	Description
org.apache.hadoop.mapred
org.apache.hadoop.mapred.lib
org.apache.hadoop.mapreduce
org.apache.hadoop.mapreduce.lib.db
org.apache.hadoop.mapreduce.lib.input
org.apache.hadoop.mapreduce.lib.join

Uses of InputSplit in org.apache.hadoop.mapred

Subclasses of InputSplit in org.apache.hadoop.mapred

Modifier and Type	Class and Description
class	FileSplit A section of an input file.
class	MultiFileSplit A sub-collection of input files.

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

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

Modifier and Type	Method and Description
RecordReader<K,V>	CombineFileInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)

Uses of InputSplit in org.apache.hadoop.mapreduce

Methods in org.apache.hadoop.mapreduce that return InputSplit

Modifier and Type	Method and Description
InputSplit	MapContext.getInputSplit() Get the input split for this map.

Methods in org.apache.hadoop.mapreduce that return types with arguments of type InputSplit

Modifier and Type	Method and Description
abstract List<InputSplit>	InputFormat.getSplits(JobContext context) Logically split the set of input files for the job.

Methods in org.apache.hadoop.mapreduce with parameters of type InputSplit

Modifier and Type	Method and Description
abstract RecordReader<K,V>	InputFormat.createRecordReader(InputSplit split, TaskAttemptContext context) Create a record reader for a given split.
abstract void	RecordReader.initialize(InputSplit split, TaskAttemptContext context) Called once at initialization.

Uses of InputSplit in org.apache.hadoop.mapreduce.lib.db

Methods in org.apache.hadoop.mapreduce.lib.db that return types with arguments of type InputSplit

Modifier and Type	Method and Description
List<InputSplit>	DataDrivenDBInputFormat.getSplits(JobContext job) Logically split the set of input files for the job.
List<InputSplit>	DBInputFormat.getSplits(JobContext job) Logically split the set of input files for the job.
List<InputSplit>	DateSplitter.split(Configuration conf, ResultSet results, String colName)
List<InputSplit>	BooleanSplitter.split(Configuration conf, ResultSet results, String colName)
List<InputSplit>	BigDecimalSplitter.split(Configuration conf, ResultSet results, String colName)
List<InputSplit>	TextSplitter.split(Configuration conf, ResultSet results, String colName) This method needs to determine the splits between two user-provided strings.
List<InputSplit>	IntegerSplitter.split(Configuration conf, ResultSet results, String colName)
List<InputSplit>	DBSplitter.split(Configuration conf, ResultSet results, String colName) Given a ResultSet containing one record (and already advanced to that record) with two columns (a low value, and a high value, both of the same type), determine a set of splits that span the given values.
List<InputSplit>	FloatSplitter.split(Configuration conf, ResultSet results, String colName)

Methods in org.apache.hadoop.mapreduce.lib.db with parameters of type InputSplit

Modifier and Type	Method and Description
RecordReader<LongWritable,T>	DBInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context) Create a record reader for a given split.
void	DBRecordReader.initialize(InputSplit split, TaskAttemptContext context)

Uses of InputSplit in org.apache.hadoop.mapreduce.lib.input

Subclasses of InputSplit in org.apache.hadoop.mapreduce.lib.input

Modifier and Type	Class and Description
class	CombineFileSplit A sub-collection of input files.

Methods in org.apache.hadoop.mapreduce.lib.input that return types with arguments of type InputSplit

Modifier and Type	Method and Description
List<InputSplit>	NLineInputFormat.getSplits(JobContext job) Logically splits the set of input files for the job, splits N lines of the input as one split.
List<InputSplit>	FileInputFormat.getSplits(JobContext job) Generate the list of files and make them into FileSplits.
List<InputSplit>	CombineFileInputFormat.getSplits(JobContext job)

Methods in org.apache.hadoop.mapreduce.lib.input with parameters of type InputSplit

Modifier and Type	Method and Description
RecordReader<LongWritable,Text>	TextInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
RecordReader<LongWritable,Text>	NLineInputFormat.createRecordReader(InputSplit genericSplit, TaskAttemptContext context)
RecordReader<Text,Text>	KeyValueTextInputFormat.createRecordReader(InputSplit genericSplit, TaskAttemptContext context)
RecordReader<K,V>	SequenceFileInputFilter.createRecordReader(InputSplit split, TaskAttemptContext context) Create a record reader for the given split
RecordReader<Text,Text>	SequenceFileAsTextInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
RecordReader<LongWritable,Text>	CombineTextInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
RecordReader<K,V>	CombineSequenceFileInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
RecordReader<BytesWritable,BytesWritable>	SequenceFileAsBinaryInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
RecordReader<K,V>	SequenceFileInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
RecordReader<LongWritable,BytesWritable>	FixedLengthInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
abstract RecordReader<K,V>	CombineFileInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context) This is not implemented yet.
void	CombineFileRecordReader.initialize(InputSplit split, TaskAttemptContext context)
void	KeyValueLineRecordReader.initialize(InputSplit genericSplit, TaskAttemptContext context)
void	SequenceFileRecordReader.initialize(InputSplit split, TaskAttemptContext context)
void	SequenceFileAsTextRecordReader.initialize(InputSplit split, TaskAttemptContext context)
void	CombineFileRecordReaderWrapper.initialize(InputSplit split, TaskAttemptContext context)

Uses of InputSplit in org.apache.hadoop.mapreduce.lib.join

Subclasses of InputSplit in org.apache.hadoop.mapreduce.lib.join

Modifier and Type	Class and Description
class	CompositeInputSplit This InputSplit contains a set of child InputSplits.

Methods in org.apache.hadoop.mapreduce.lib.join that return InputSplit

Modifier and Type	Method and Description
InputSplit	CompositeInputSplit.get(int i) Get ith child InputSplit.

Methods in org.apache.hadoop.mapreduce.lib.join that return types with arguments of type InputSplit

Modifier and Type	Method and Description
List<InputSplit>	CompositeInputFormat.getSplits(JobContext job) Build a CompositeInputSplit from the child InputFormats by assigning the ith split from each child to the ith composite split.

Methods in org.apache.hadoop.mapreduce.lib.join with parameters of type InputSplit

Modifier and Type	Method and Description
void	CompositeInputSplit.add(InputSplit s) Add an InputSplit to this collection.
abstract ComposableRecordReader<K,V>	ComposableInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
RecordReader<K,TupleWritable>	CompositeInputFormat.createRecordReader(InputSplit split, TaskAttemptContext taskContext) Construct a CompositeRecordReader for the children of this InputFormat as defined in the init expression.
void	MultiFilterRecordReader.initialize(InputSplit split, TaskAttemptContext context)
void	WrappedRecordReader.initialize(InputSplit split, TaskAttemptContext context)
void	CompositeRecordReader.initialize(InputSplit split, TaskAttemptContext context)