org.apache.hadoop.mapreduce.lib.partition
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## Package `org.apache.hadoop.mapreduce.lib.partition`

Added Classes and Interfaces
`BinaryPartitioner` | Partition BinaryComparable keys using a configurable part of the bytes array returned by
`InputSampler` | Utility for collecting samples and writing a partition file for TotalOrderPartitioner
`InputSampler.IntervalSampler` | Sample from s splits at regular intervals.
`InputSampler.RandomSampler` | Sample from random points in the input.
`InputSampler.Sampler` | Interface to sample using an org.apache.hadoop.mapreduce.InputFormat
`InputSampler.SplitSampler` | Samples the first n records from s splits.
`KeyFieldBasedComparator` | This comparator implementation provides a subset of the features provided by the Unix/GNU Sort.
`KeyFieldBasedPartitioner` | Defines a way to partition keys based on certain key fields (also see KeyFieldBasedComparator The key specification supported is of the form -k pos1[ pos2] where pos is of the form f[.c][opts] where f is the number of the key field to use and c is the number of the first character from the beginning of the field.
`TotalOrderPartitioner` | Partitioner effecting a total order by reading split points from an externally generated source.

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