sdks/python/apache_beam/examples/snippets/transforms/aggregation/groupintobatches.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: GroupIntoBatches
#   description: Demonstration of GroupIntoBatches transform usage.
#   multifile: false
#   default_example: false
#   context_line: 39
#   categories:
#     - Core Transforms
#   complexity: BASIC
#   tags:
#     - transforms
#     - strings
#     - group


def groupintobatches(test=None):
  # [START groupintobatches]
  import apache_beam as beam

  with beam.Pipeline() as pipeline:
    batches_with_keys = (
        pipeline
        | 'Create produce' >> beam.Create([
            ('spring', '🍓'),
            ('spring', '🥕'),
            ('spring', '🍆'),
            ('spring', '🍅'),
            ('summer', '🥕'),
            ('summer', '🍅'),
            ('summer', '🌽'),
            ('fall', '🥕'),
            ('fall', '🍅'),
            ('winter', '🍆'),
        ])
        | 'Group into batches' >> beam.GroupIntoBatches(3)
        | beam.Map(print))
    # [END groupintobatches]
    if test:
      test(batches_with_keys)


if __name__ == '__main__':
  groupintobatches()