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

Packages that use InputSplit

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.mapreduce
org.apache.hadoop.mapreduce.lib.db
org.apache.hadoop.mapreduce.lib.input
org.apache.hadoop.mapreduce.split

Uses of InputSplit in org.apache.hadoop.mapred

Subclasses of InputSplit in org.apache.hadoop.mapred

class

FileSplit A section of an input file.

Uses of InputSplit in org.apache.hadoop.mapreduce

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

InputSplit

MapContext.getInputSplit() Get the input split for this map.

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

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

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.

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

MapContext(Configuration conf, TaskAttemptID taskid, RecordReader<KEYIN,VALUEIN> reader, RecordWriter<KEYOUT,VALUEOUT> writer, OutputCommitter committer, StatusReporter reporter, InputSplit split)

Mapper.Context(Configuration conf, TaskAttemptID taskid, RecordReader<KEYIN,VALUEIN> reader, RecordWriter<KEYOUT,VALUEOUT> writer, OutputCommitter committer, StatusReporter reporter, InputSplit split)

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

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

static class	DataDrivenDBInputFormat.DataDrivenDBInputSplit A InputSplit that spans a set of rows
static class	DBInputFormat.DBInputSplit A InputSplit that spans a set of rows

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

List<InputSplit>	DBInputFormat.getSplits(JobContext job) Logically split the set of input files for the job.
List<InputSplit>	DataDrivenDBInputFormat.getSplits(JobContext job) Logically split the set of input files for the job.
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>	BooleanSplitter.split(Configuration conf, ResultSet results, String colName)
List<InputSplit>	BigDecimalSplitter.split(Configuration conf, ResultSet results, String colName)
List<InputSplit>	DateSplitter.split(Configuration conf, ResultSet results, String colName)
List<InputSplit>	IntegerSplitter.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>	FloatSplitter.split(Configuration conf, ResultSet results, String colName)

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

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

class

CombineFileSplit A sub-collection of input files.

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

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>	CombineFileInputFormat.getSplits(JobContext job)
List<InputSplit>	FileInputFormat.getSplits(JobContext job) Generate the list of files and make them into FileSplits.
List<InputSplit>	DelegatingInputFormat.getSplits(JobContext job)

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

RecordReader<K,V>	SequenceFileInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
RecordReader<LongWritable,Text>	TextInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
RecordReader<K,V>	SequenceFileInputFilter.createRecordReader(InputSplit split, TaskAttemptContext context) Create a record reader for the given split
RecordReader<BytesWritable,BytesWritable>	SequenceFileAsBinaryInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
RecordReader<LongWritable,Text>	NLineInputFormat.createRecordReader(InputSplit genericSplit, TaskAttemptContext context)
RecordReader<Text,Text>	KeyValueTextInputFormat.createRecordReader(InputSplit genericSplit, TaskAttemptContext context)
abstract RecordReader<K,V>	CombineFileInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context) This is not implemented yet.
RecordReader<K,V>	DelegatingInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
RecordReader<Text,Text>	SequenceFileAsTextInputFormat.createRecordReader(InputSplit split, TaskAttemptContext context)
void	CombineFileRecordReader.initialize(InputSplit split, TaskAttemptContext context)
void	SequenceFileAsBinaryInputFormat.SequenceFileAsBinaryRecordReader.initialize(InputSplit split, TaskAttemptContext context)
void	KeyValueLineRecordReader.initialize(InputSplit genericSplit, TaskAttemptContext context)
void	SequenceFileAsTextRecordReader.initialize(InputSplit split, TaskAttemptContext context)
void	SequenceFileRecordReader.initialize(InputSplit split, TaskAttemptContext context)
void	LineRecordReader.initialize(InputSplit genericSplit, TaskAttemptContext context)
void	DelegatingRecordReader.initialize(InputSplit split, TaskAttemptContext context)

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

DelegatingRecordReader(InputSplit split, TaskAttemptContext context)
Constructs the DelegatingRecordReader.

Uses of InputSplit in org.apache.hadoop.mapreduce.split

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

static <T extends InputSplit> void	JobSplitWriter.createSplitFiles(Path jobSubmitDir, Configuration conf, FileSystem fs, List<InputSplit> splits)
static <T extends InputSplit> void	JobSplitWriter.createSplitFiles(Path jobSubmitDir, Configuration conf, FileSystem fs, T[] splits)

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

static <T extends InputSplit> void

JobSplitWriter.createSplitFiles(Path jobSubmitDir, Configuration conf, FileSystem fs, T[] splits)

Method parameters in org.apache.hadoop.mapreduce.split with type arguments of type InputSplit

static <T extends InputSplit> void

JobSplitWriter.createSplitFiles(Path jobSubmitDir, Configuration conf, FileSystem fs, List<InputSplit> splits)

Constructors in org.apache.hadoop.mapreduce.split with parameters of type InputSplit

JobSplit.SplitMetaInfo(InputSplit split, long startOffset)

JobSplit.TaskSplitMetaInfo(InputSplit split, long startOffset)