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

package org.apache.hadoop.mapreduce.lib.partition
  • Class
    Description
    BinaryPartitioner<V>
    Partition BinaryComparable keys using a configurable part of the bytes array returned by BinaryComparable.getBytes().
    HashPartitioner<K,V>
    Partition keys by their Object.hashCode().
    InputSampler<K,V>
    Utility for collecting samples and writing a partition file for TotalOrderPartitioner.
    org.apache.hadoop.mapreduce.lib.partition.InputSampler.IntervalSampler<K,V>
    Sample from s splits at regular intervals.
    org.apache.hadoop.mapreduce.lib.partition.InputSampler.RandomSampler<K,V>
    Sample from random points in the input.
    org.apache.hadoop.mapreduce.lib.partition.InputSampler.Sampler<K,V>
    Interface to sample using an InputFormat.
    org.apache.hadoop.mapreduce.lib.partition.InputSampler.SplitSampler<K,V>
    Samples the first n records from s splits.
    KeyFieldBasedComparator<K,V>
    This comparator implementation provides a subset of the features provided by the Unix/GNU Sort.
    KeyFieldBasedPartitioner<K2,V2>
    Defines a way to partition keys based on certain key fields (also see KeyFieldBasedComparator.
    RehashPartitioner<K,V>
    This partitioner rehashes values returned by Object.hashCode() to get smoother distribution between partitions which may improve reduce reduce time in some cases and should harm things in no cases.
    TotalOrderPartitioner<K,V>
    Partitioner effecting a total order by reading split points from an externally generated source.