sdks/python/apache_beam/examples/snippets/transforms/aggregation/approximateunique.py

# coding=utf-8
#
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#    http://www.apache.org/licenses/LICENSE-2.0
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# pytype: skip-file
# pylint:disable=line-too-long

# beam-playground:
#   name: ApproximateUnique
#   description: Demonstration of ApproximateUnique transform usage.
#   multifile: false
#   default_example: false
#   context_line: 37
#   categories:
#     - Core Transforms
#   complexity: BASIC
#   tags:
#     - transforms
#     - integers


def approximateunique(test=None):
  # [START approximateunique]
  import random

  import apache_beam as beam

  with beam.Pipeline() as pipeline:
    data = list(range(1000))
    random.shuffle(data)
    result = (
        pipeline
        | 'create' >> beam.Create(data)
        | 'get_estimate' >> beam.ApproximateUnique.Globally(size=16)
        | beam.Map(print))
    # [END approximateunique]
    if test:
      test(result)