blob: 0b22a31f7ffc5a2df12f1b9938a3c68ab1cea2c7 [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: Distinct
# description: Demonstration of Distinct transform usage.
# multifile: false
# default_example: false
# context_line: 39
# categories:
# - Core Transforms
# complexity: BASIC
# tags:
# - transforms
# - numbers
# - distinct
def distinct(test=None):
# [START distinct]
import apache_beam as beam
with beam.Pipeline() as pipeline:
unique_elements = (
pipeline
| 'Create produce' >> beam.Create([
'🥕',
'🥕',
'🍆',
'🍅',
'🍅',
'🍅',
])
| 'Deduplicate elements' >> beam.Distinct()
| beam.Map(print))
# [END distinct]
if test:
test(unique_elements)
if __name__ == '__main__':
distinct()