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java.lang.Object org.apache.hadoop.mapred.lib.InputSampler.RandomSampler<K,V>
public static class InputSampler.RandomSampler<K,V>
Sample from random points in the input. General-purpose sampler. Takes numSamples / maxSplitsSampled inputs from each split.
Constructor Summary | |
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InputSampler.RandomSampler(double freq,
int numSamples)
Create a new RandomSampler sampling all splits. |
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InputSampler.RandomSampler(double freq,
int numSamples,
int maxSplitsSampled)
Create a new RandomSampler. |
Method Summary | |
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K[] |
getSample(InputFormat<K,V> inf,
JobConf job)
Randomize the split order, then take the specified number of keys from each split sampled, where each key is selected with the specified probability and possibly replaced by a subsequently selected key when the quota of keys from that split is satisfied. |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public InputSampler.RandomSampler(double freq, int numSamples)
freq
- Probability with which a key will be chosen.numSamples
- Total number of samples to obtain from all selected
splits.public InputSampler.RandomSampler(double freq, int numSamples, int maxSplitsSampled)
freq
- Probability with which a key will be chosen.numSamples
- Total number of samples to obtain from all selected
splits.maxSplitsSampled
- The maximum number of splits to examine.Method Detail |
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public K[] getSample(InputFormat<K,V> inf, JobConf job) throws IOException
getSample
in interface InputSampler.Sampler<K,V>
IOException
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