## 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.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.input

Methods in org.apache.hadoop.mapreduce.lib.input that return types with arguments of type InputSplit
`List<InputSplit>` `FileInputFormat.getSplits(JobContext job)` Generate the list of files and make them into FileSplits.

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)`
`void` `SequenceFileRecordReader.initialize(InputSplit split, TaskAttemptContext context)`
`void` `LineRecordReader.initialize(InputSplit genericSplit, TaskAttemptContext context)`

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)`

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