Partitioner (Hadoop 1.2.1 API)
Date: 2013-07-22

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## org.apache.hadoop.mapred
Interface Partitioner<K2,V2>

All Superinterfaces:
  JobConfigurable

All Known Implementing Classes:
  BinaryPartitioner, HashPartitioner, IndexUpdatePartitioner, KeyFieldBasedPartitioner, SleepJob, TotalOrderPartitioner

    public interface Partitioner<K2,V2>

extends JobConfigurable

Partitions the key space.

`Partitioner` controls the partitioning of the keys of the intermediate map-outputs. The key (or a subset of the key) is used to derive the partition, typically by a hash function. The total number of partitions is the same as the number of reduce tasks for the job. Hence this controls which of the `m` reduce tasks the intermediate key (and hence the record) is sent for reduction.

See Also:
  `Reducer`

Method Summary
`int` | `getPartition(K2 key, V2 value, int numPartitions)` Get the paritition number for a given key (hence record) given the total number of partitions i.e.

Methods inherited from interface org.apache.hadoop.mapred.JobConfigurable
`configure`

Method Detail

### getPartition

    int getPartition(K2 key,
                     V2 value,
                     int numPartitions)

  Get the paritition number for a given key (hence record) given the total number of partitions i.e. number of reduce-tasks for the job.

  Typically a hash function on a all or a subset of the key.

  Parameters:
    `key` - the key to be paritioned.
    `value` - the entry value.
    `numPartitions` - the total number of partitions.
  Returns:
    the partition number for the `key`.

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