Package org.apache.beam.sdk.extensions.sketching

Utilities for computing statistical indicators using probabilistic sketches.

Class Summary

Class	Description
ApproximateDistinct	PTransforms for computing the approximate number of distinct elements in a stream.
ApproximateDistinct.ApproximateDistinctFn<InputT>	Implements the Combine.CombineFn of ApproximateDistinct transforms.
ApproximateDistinct.GloballyDistinct<InputT>	Implementation of ApproximateDistinct.globally().
ApproximateDistinct.HyperLogLogPlusCoder	Coder for HyperLogLogPlus class.
ApproximateDistinct.PerKeyDistinct<K,V>	Implementation of ApproximateDistinct.perKey().
SketchFrequencies	PTransforms to compute the estimate frequency of each element in a stream.
SketchFrequencies.CountMinSketchFn<InputT>	Implements the Combine.CombineFn of SketchFrequencies transforms.
SketchFrequencies.GlobalSketch<InputT>	Implementation of SketchFrequencies.globally().
SketchFrequencies.PerKeySketch<K,V>	Implementation of SketchFrequencies.perKey().
SketchFrequencies.Sketch<T>	Wrap StreamLib's Count-Min Sketch to support counting all user types by hashing the encoded user type using the supplied deterministic coder.
TDigestQuantiles	PTransforms for getting information about quantiles in a stream.
TDigestQuantiles.GlobalDigest	Implementation of TDigestQuantiles.globally().
TDigestQuantiles.PerKeyDigest<K>	Implementation of TDigestQuantiles.perKey().
TDigestQuantiles.TDigestQuantilesFn	Implements the Combine.CombineFn of TDigestQuantiles transforms.