PTransforms for computing the approximate number of distinct elements in a stream.Combine.CombineFn of ApproximateDistinct transforms.ApproximateDistinct.globally().HyperLogLogPlus class.ApproximateDistinct.perKey().ApproximateDistinct.ApproximateDistinctFn combiner with the given input coder.SketchFrequencies.CountMinSketchFn combiner with the given input coder.TDigestQuantiles.TDigestQuantilesFn combiner with the given compression factor.CountMinSketch.PCollection<InputT>
and returns a PCollection<Long>.PTransform that will build a Count-min sketch for keeping track of the
frequency of the elements in the whole stream.PCollection<MergingDigest>.ApproximateDistinct.globally() but per key, i.e computes the approximate number of distinct values per
key in a PCollection<KV<K, V>> and returns PCollection<KV<K, Long>>.SketchFrequencies.globally() but per key, i.e a Count-min sketch per key in PCollection<KV<K, V>> and returns a PCollection<KV<K, {@link CountMinSketch}>>.TDigestQuantiles.globally(), but builds a digest for each key in the stream.PTransforms to compute the estimate frequency of each element in a stream.Combine.CombineFn of SketchFrequencies transforms.SketchFrequencies.globally().SketchFrequencies.perKey().PTransforms for getting information about quantiles in a stream.TDigestQuantiles.globally().TDigestQuantiles.perKey().Combine.CombineFn of TDigestQuantiles transforms.SketchFrequencies.CountMinSketchFn combiner with new precision accuracy parameters epsilon and confidence.cf.cf.confidence value, i.e.confidence value, i.e.ApproximateDistinct.ApproximateDistinctFn combiner with a new precision p.p.p.epsilon.epsilon.sp.sp.ApproximateDistinct.ApproximateDistinctFn combiner with a new sparse representation's
precision sp.