class FallbackSampler extends Sampler[AnyRef, AnyRef]
Sampler implementation for global sorting reducer splits.
The random sampler can fail to return any data if the input set is small, which then causes the TotalOrderPartitioner to fail.
This class tries to use the random sampler, but falls back to first n if needed.
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- new FallbackSampler(frequency: Double, numSamples: Int, maxSplitsToSample: Int)
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- def getSample(inf: InputFormat[AnyRef, AnyRef], job: Job): Array[AnyRef]
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(Since version 9)