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

Packages that use InputSplit
org.apache.hadoop.contrib.index.example
org.apache.hadoop.examples: Hadoop example code.
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.db: org.apache.hadoop.mapred.lib.db Package
org.apache.hadoop.mapreduce.split
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 InputSplit in org.apache.hadoop.contrib.index.example

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

Uses of InputSplit in org.apache.hadoop.examples

Classes in org.apache.hadoop.examples that implement InputSplit
`static class` `SleepJob.EmptySplit`

Methods in org.apache.hadoop.examples that return InputSplit
`InputSplit[]` `SleepJob.SleepInputFormat.getSplits(JobConf conf, int numSplits)`

Methods in org.apache.hadoop.examples with parameters of type InputSplit
`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)`

Uses of InputSplit in org.apache.hadoop.examples.terasort

Methods in org.apache.hadoop.examples.terasort that return InputSplit
`InputSplit[]` `TeraInputFormat.getSplits(JobConf conf, int splits)`

Methods in org.apache.hadoop.examples.terasort with parameters of type InputSplit
`RecordReader<Text,Text>` `TeraInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)`

Uses of InputSplit in org.apache.hadoop.mapred

Classes in org.apache.hadoop.mapred that implement InputSplit
`class` `FileSplit` A section of an input file.
`class` `MultiFileSplit` Deprecated. Use `CombineFileSplit` instead

Methods in org.apache.hadoop.mapred that return InputSplit
`InputSplit` `Reporter.getInputSplit()` Get the `InputSplit` object for a map.
`InputSplit` `Task.TaskReporter.getInputSplit()`
`InputSplit[]` `MultiFileInputFormat.getSplits(JobConf job, int numSplits)` Deprecated.
`InputSplit[]` `InputFormat.getSplits(JobConf job, int numSplits)` Logically split the set of input files for the job.
`InputSplit[]` `FileInputFormat.getSplits(JobConf job, int numSplits)` Splits files returned by `FileInputFormat.listStatus(JobConf)` when they're too big.

Methods in org.apache.hadoop.mapred with parameters of type InputSplit
`RecordReader<K,V>` `SequenceFileInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)`
`RecordReader<LongWritable,Text>` `TextInputFormat.getRecordReader(InputSplit genericSplit, JobConf job, Reporter reporter)`
`RecordReader<K,V>` `SequenceFileInputFilter.getRecordReader(InputSplit split, JobConf job, Reporter reporter)` Create a record reader for the given split
`abstract RecordReader<K,V>` `MultiFileInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)` Deprecated.
`RecordReader<BytesWritable,BytesWritable>` `SequenceFileAsBinaryInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)`
`RecordReader<K,V>` `InputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)` Get the `RecordReader` for the given `InputSplit`.
`RecordReader<Text,Text>` `KeyValueTextInputFormat.getRecordReader(InputSplit genericSplit, JobConf job, Reporter reporter)`
`abstract RecordReader<K,V>` `FileInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)`
`RecordReader<Text,Text>` `SequenceFileAsTextInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)`
`void` `Task.TaskReporter.setInputSplit(InputSplit split)`

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

Classes in org.apache.hadoop.mapred.join that implement InputSplit
`class` `CompositeInputSplit` This InputSplit contains a set of child InputSplits.

Methods in org.apache.hadoop.mapred.join that return InputSplit
`InputSplit` `CompositeInputSplit.get(int i)` Get ith child InputSplit.
`InputSplit[]` `CompositeInputFormat.getSplits(JobConf job, int numSplits)` 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.mapred.join with parameters of type InputSplit
`void` `CompositeInputSplit.add(InputSplit s)` Add an InputSplit to this collection.
`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 InputSplit in org.apache.hadoop.mapred.lib

Classes in org.apache.hadoop.mapred.lib that implement InputSplit
`class` `CombineFileSplit` A sub-collection of input files.

Methods in org.apache.hadoop.mapred.lib that return InputSplit
`InputSplit[]` `NLineInputFormat.getSplits(JobConf job, int numSplits)` Logically splits the set of input files for the job, splits N lines of the input as one split.
`InputSplit[]` `CombineFileInputFormat.getSplits(JobConf job, int numSplits)`
`InputSplit[]` `DelegatingInputFormat.getSplits(JobConf conf, int numSplits)`

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

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

Classes in org.apache.hadoop.mapred.lib.db that implement InputSplit
`protected static class` `DBInputFormat.DBInputSplit` A InputSplit that spans a set of rows

Methods in org.apache.hadoop.mapred.lib.db that return InputSplit
`InputSplit[]` `DBInputFormat.getSplits(JobConf job, int chunks)` Logically split the set of input files for the job.

Methods in org.apache.hadoop.mapred.lib.db with parameters of type InputSplit
`RecordReader<LongWritable,T>` `DBInputFormat.getRecordReader(InputSplit split, JobConf job, Reporter reporter)` Get the `RecordReader` for the given `InputSplit`.

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

Methods in org.apache.hadoop.mapreduce.split with parameters of type InputSplit
`static void` `JobSplitWriter.createSplitFiles(Path jobSubmitDir, Configuration conf, FileSystem fs, InputSplit[] splits)`

Uses of InputSplit in org.apache.hadoop.streaming

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

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