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## Uses of Class
org.apache.hadoop.mapred.FileSplit

Packages that use FileSplit
org.apache.hadoop.contrib.index.example |
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.streaming | `Hadoop Streaming` is a utility which allows users to create and run Map-Reduce jobs with any executables (e.g.

Uses of FileSplit in org.apache.hadoop.contrib.index.example

Constructors in org.apache.hadoop.contrib.index.example with parameters of type FileSplit
`LineDocRecordReader(Configuration job, FileSplit split)` Constructor

Uses of FileSplit in org.apache.hadoop.mapred

Constructors in org.apache.hadoop.mapred with parameters of type FileSplit
`KeyValueLineRecordReader(Configuration job, FileSplit split)`
`LineRecordReader(Configuration job, FileSplit split)`
`SequenceFileAsBinaryInputFormat.SequenceFileAsBinaryRecordReader(Configuration conf, FileSplit split)`
`SequenceFileAsTextRecordReader(Configuration conf, FileSplit split)`
`SequenceFileRecordReader(Configuration conf, FileSplit split)`

Uses of FileSplit in org.apache.hadoop.streaming

Methods in org.apache.hadoop.streaming that return FileSplit
`static FileSplit` | `StreamUtil.getCurrentSplit(JobConf job)`

Constructors in org.apache.hadoop.streaming with parameters of type FileSplit
`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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