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## org.apache.hadoop.mapred.lib
Class InputSampler.SplitSampler<K,V>

    java.lang.Object
      org.apache.hadoop.mapred.lib.InputSampler.SplitSampler<K,V>

All Implemented Interfaces:
  InputSampler.Sampler<K,V>

Enclosing class:
  InputSampler<K,V>

    public static class InputSampler.SplitSampler<K,V>

extends Object
implements InputSampler.Sampler<K,V>

Samples the first n records from s splits. Inexpensive way to sample random data.

Constructor Summary
`InputSampler.SplitSampler(int numSamples)` Create a SplitSampler sampling all splits.
`InputSampler.SplitSampler(int numSamples, int maxSplitsSampled)` Create a new SplitSampler.

Method Summary
`K[]` | `getSample(InputFormat<K,V> inf, JobConf job)` From each split sampled, take the first numSamples / numSplits records.

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

### InputSampler.SplitSampler

    public InputSampler.SplitSampler(int numSamples)

  Create a SplitSampler sampling all splits. Takes the first numSamples / numSplits records from each split.

  Parameters:
    `numSamples` - Total number of samples to obtain from all selected splits.

### InputSampler.SplitSampler

    public InputSampler.SplitSampler(int numSamples,
                                     int maxSplitsSampled)

  Create a new SplitSampler.

  Parameters:
    `numSamples` - Total number of samples to obtain from all selected splits.
    `maxSplitsSampled` - The maximum number of splits to examine.

Method Detail

### getSample

    public K[] getSample(InputFormat<K,V> inf,
                         JobConf job)
                  throws IOException

  From each split sampled, take the first numSamples / numSplits records.

  Specified by:
    `getSample` in interface `InputSampler.Sampler<K,V>`
  Throws:
    `IOException`

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