PTransforms for computing the approximate number of distinct elements in a stream.Combine.CombineFn of ApproximateDistinct transforms.ApproximateDistinct.globally().HyperLogLogPlus class.ApproximateDistinct.perKey().DoFns to retrieve the cardinality from a HyperLogLogPlus structure in a global or perKey context.ApproximateDistinct.ApproximateDistinctFn combiner with the given input coder.SketchFrequencies.CountMinSketchFn combiner with the given input coder.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.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}>>.PTransforms to compute the estimate frequency of each element in a stream.Combine.CombineFn of SketchFrequencies transforms.SketchFrequencies.globally().SketchFrequencies.perKey().SketchFrequencies.CountMinSketchFn combiner with new precision accuracy parameters
epsilon and confidence.ApproximateDistinct.ApproximateDistinctFn combiner with a new precision p.ApproximateDistinct.ApproximateDistinctFn combiner with a sparse representation of
precision sp.Copyright © 2016–2018 The Apache Software Foundation. All rights reserved.