| # 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. |
| # |
| |
| from __future__ import absolute_import |
| from __future__ import print_function |
| from __future__ import unicode_literals |
| |
| |
| def pardo_dofn(test=None): |
| # [START pardo_dofn] |
| import apache_beam as beam |
| |
| class SplitWords(beam.DoFn): |
| def __init__(self, delimiter=','): |
| self.delimiter = delimiter |
| |
| def process(self, text): |
| for word in text.split(self.delimiter): |
| yield word |
| |
| with beam.Pipeline() as pipeline: |
| plants = ( |
| pipeline |
| | 'Gardening plants' >> beam.Create([ |
| '🍓Strawberry,🥕Carrot,🍆Eggplant', |
| '🍅Tomato,🥔Potato', |
| ]) |
| | 'Split words' >> beam.ParDo(SplitWords(',')) |
| | beam.Map(print) |
| ) |
| # [END pardo_dofn] |
| if test: |
| test(plants) |
| |
| |
| def pardo_dofn_params(test=None): |
| # pylint: disable=line-too-long |
| # [START pardo_dofn_params] |
| import apache_beam as beam |
| |
| class AnalyzeElement(beam.DoFn): |
| def process(self, elem, timestamp=beam.DoFn.TimestampParam, window=beam.DoFn.WindowParam): |
| yield '\n'.join([ |
| '# timestamp', |
| 'type(timestamp) -> ' + repr(type(timestamp)), |
| 'timestamp.micros -> ' + repr(timestamp.micros), |
| 'timestamp.to_rfc3339() -> ' + repr(timestamp.to_rfc3339()), |
| 'timestamp.to_utc_datetime() -> ' + repr(timestamp.to_utc_datetime()), |
| '', |
| '# window', |
| 'type(window) -> ' + repr(type(window)), |
| 'window.start -> {} ({})'.format(window.start, window.start.to_utc_datetime()), |
| 'window.end -> {} ({})'.format(window.end, window.end.to_utc_datetime()), |
| 'window.max_timestamp() -> {} ({})'.format(window.max_timestamp(), window.max_timestamp().to_utc_datetime()), |
| ]) |
| |
| with beam.Pipeline() as pipeline: |
| dofn_params = ( |
| pipeline |
| | 'Create a single test element' >> beam.Create([':)']) |
| | 'Add timestamp (Spring equinox 2020)' >> beam.Map( |
| lambda elem: beam.window.TimestampedValue(elem, 1584675660)) |
| | 'Fixed 30sec windows' >> beam.WindowInto(beam.window.FixedWindows(30)) |
| | 'Analyze element' >> beam.ParDo(AnalyzeElement()) |
| | beam.Map(print) |
| ) |
| # [END pardo_dofn_params] |
| # pylint: enable=line-too-long |
| if test: |
| test(dofn_params) |
| |
| |
| def pardo_dofn_methods(test=None): |
| # [START pardo_dofn_methods] |
| import apache_beam as beam |
| |
| class DoFnMethods(beam.DoFn): |
| def __init__(self): |
| print('__init__') |
| self.window = beam.window.GlobalWindow() |
| |
| def setup(self): |
| print('setup') |
| |
| def start_bundle(self): |
| print('start_bundle') |
| |
| def process(self, element, window=beam.DoFn.WindowParam): |
| self.window = window |
| yield '* process: ' + element |
| |
| def finish_bundle(self): |
| yield beam.utils.windowed_value.WindowedValue( |
| value='* finish_bundle: 🌱🌳🌍', |
| timestamp=0, |
| windows=[self.window], |
| ) |
| |
| def teardown(self): |
| print('teardown') |
| |
| with beam.Pipeline() as pipeline: |
| results = ( |
| pipeline |
| | 'Create inputs' >> beam.Create(['🍓', '🥕', '🍆', '🍅', '🥔']) |
| | 'DoFn methods' >> beam.ParDo(DoFnMethods()) |
| | beam.Map(print) |
| ) |
| # [END pardo_dofn_methods] |
| if test: |
| return test(results) |