blob: fe0f098e92f0e7bccac20b1f1a4ca9f617bfa749 [file] [log] [blame]
# coding=utf-8
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# pytype: skip-file
# pylint:disable=line-too-long
# beam-playground:
# name: FlattenTransform
# description: Demonstration of Flatten transform usage.
# multifile: false
# default_example: false
# context_line: 40
# categories:
# - Core Transforms
# complexity: BASIC
# tags:
# - transforms
# - strings
def flatten(test=None):
# [START flatten]
import apache_beam as beam
with beam.Pipeline() as pipeline:
pc1 = pipeline | 'Create produce 1' >> beam.Create(['🍓', '🥕', '🍆'])
pc2 = pipeline | 'Create produce 2' >> beam.Create(['🍅', '🥔'])
pc3 = pipeline | 'Create produce 3' >> beam.Create(['🍎', '🍐', '🍊'])
icons = ((pc1, pc2, pc3) | beam.Flatten() | beam.Map(print))
# [END flatten]
if test:
test(icons)
if __name__ == '__main__':
flatten()