| # 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 |
| |
| |
| def flatmap_simple(test=None): |
| # [START flatmap_simple] |
| import apache_beam as beam |
| |
| with beam.Pipeline() as pipeline: |
| plants = ( |
| pipeline |
| | 'Gardening plants' >> beam.Create([ |
| '🍓Strawberry 🥕Carrot 🍆Eggplant', |
| '🍅Tomato 🥔Potato', |
| ]) |
| | 'Split words' >> beam.FlatMap(str.split) |
| | beam.Map(print) |
| ) |
| # [END flatmap_simple] |
| if test: |
| test(plants) |
| |
| |
| def flatmap_function(test=None): |
| # [START flatmap_function] |
| import apache_beam as beam |
| |
| def split_words(text): |
| return text.split(',') |
| |
| with beam.Pipeline() as pipeline: |
| plants = ( |
| pipeline |
| | 'Gardening plants' >> beam.Create([ |
| '🍓Strawberry,🥕Carrot,🍆Eggplant', |
| '🍅Tomato,🥔Potato', |
| ]) |
| | 'Split words' >> beam.FlatMap(split_words) |
| | beam.Map(print) |
| ) |
| # [END flatmap_function] |
| if test: |
| test(plants) |
| |
| |
| def flatmap_lambda(test=None): |
| # [START flatmap_lambda] |
| import apache_beam as beam |
| |
| with beam.Pipeline() as pipeline: |
| plants = ( |
| pipeline |
| | 'Gardening plants' >> beam.Create([ |
| ['🍓Strawberry', '🥕Carrot', '🍆Eggplant'], |
| ['🍅Tomato', '🥔Potato'], |
| ]) |
| | 'Flatten lists' >> beam.FlatMap(lambda elements: elements) |
| | beam.Map(print) |
| ) |
| # [END flatmap_lambda] |
| if test: |
| test(plants) |
| |
| |
| def flatmap_generator(test=None): |
| # [START flatmap_generator] |
| import apache_beam as beam |
| |
| def generate_elements(elements): |
| for element in elements: |
| yield element |
| |
| with beam.Pipeline() as pipeline: |
| plants = ( |
| pipeline |
| | 'Gardening plants' >> beam.Create([ |
| ['🍓Strawberry', '🥕Carrot', '🍆Eggplant'], |
| ['🍅Tomato', '🥔Potato'], |
| ]) |
| | 'Flatten lists' >> beam.FlatMap(generate_elements) |
| | beam.Map(print) |
| ) |
| # [END flatmap_generator] |
| if test: |
| test(plants) |
| |
| |
| def flatmap_multiple_arguments(test=None): |
| # [START flatmap_multiple_arguments] |
| import apache_beam as beam |
| |
| def split_words(text, delimiter=None): |
| return text.split(delimiter) |
| |
| with beam.Pipeline() as pipeline: |
| plants = ( |
| pipeline |
| | 'Gardening plants' >> beam.Create([ |
| '🍓Strawberry,🥕Carrot,🍆Eggplant', |
| '🍅Tomato,🥔Potato', |
| ]) |
| | 'Split words' >> beam.FlatMap(split_words, delimiter=',') |
| | beam.Map(print) |
| ) |
| # [END flatmap_multiple_arguments] |
| if test: |
| test(plants) |
| |
| |
| def flatmap_tuple(test=None): |
| # [START flatmap_tuple] |
| import apache_beam as beam |
| |
| def format_plant(icon, plant): |
| if icon: |
| yield '{}{}'.format(icon, plant) |
| |
| with beam.Pipeline() as pipeline: |
| plants = ( |
| pipeline |
| | 'Gardening plants' >> beam.Create([ |
| ('🍓', 'Strawberry'), |
| ('🥕', 'Carrot'), |
| ('🍆', 'Eggplant'), |
| ('🍅', 'Tomato'), |
| ('🥔', 'Potato'), |
| (None, 'Invalid'), |
| ]) |
| | 'Format' >> beam.FlatMapTuple(format_plant) |
| | beam.Map(print) |
| ) |
| # [END flatmap_tuple] |
| if test: |
| test(plants) |
| |
| |
| def flatmap_side_inputs_singleton(test=None): |
| # [START flatmap_side_inputs_singleton] |
| import apache_beam as beam |
| |
| with beam.Pipeline() as pipeline: |
| delimiter = pipeline | 'Create delimiter' >> beam.Create([',']) |
| |
| plants = ( |
| pipeline |
| | 'Gardening plants' >> beam.Create([ |
| '🍓Strawberry,🥕Carrot,🍆Eggplant', |
| '🍅Tomato,🥔Potato', |
| ]) |
| | 'Split words' >> beam.FlatMap( |
| lambda text, delimiter: text.split(delimiter), |
| delimiter=beam.pvalue.AsSingleton(delimiter), |
| ) |
| | beam.Map(print) |
| ) |
| # [END flatmap_side_inputs_singleton] |
| if test: |
| test(plants) |
| |
| |
| def flatmap_side_inputs_iter(test=None): |
| # [START flatmap_side_inputs_iter] |
| import apache_beam as beam |
| |
| def normalize_and_validate_durations(plant, valid_durations): |
| plant['duration'] = plant['duration'].lower() |
| if plant['duration'] in valid_durations: |
| yield plant |
| |
| with beam.Pipeline() as pipeline: |
| valid_durations = pipeline | 'Valid durations' >> beam.Create([ |
| 'annual', |
| 'biennial', |
| 'perennial', |
| ]) |
| |
| valid_plants = ( |
| pipeline |
| | 'Gardening plants' >> beam.Create([ |
| {'icon': '🍓', 'name': 'Strawberry', 'duration': 'Perennial'}, |
| {'icon': '🥕', 'name': 'Carrot', 'duration': 'BIENNIAL'}, |
| {'icon': '🍆', 'name': 'Eggplant', 'duration': 'perennial'}, |
| {'icon': '🍅', 'name': 'Tomato', 'duration': 'annual'}, |
| {'icon': '🥔', 'name': 'Potato', 'duration': 'unknown'}, |
| ]) |
| | 'Normalize and validate durations' >> beam.FlatMap( |
| normalize_and_validate_durations, |
| valid_durations=beam.pvalue.AsIter(valid_durations), |
| ) |
| | beam.Map(print) |
| ) |
| # [END flatmap_side_inputs_iter] |
| if test: |
| test(valid_plants) |
| |
| |
| def flatmap_side_inputs_dict(test=None): |
| # [START flatmap_side_inputs_dict] |
| import apache_beam as beam |
| |
| def replace_duration_if_valid(plant, durations): |
| if plant['duration'] in durations: |
| plant['duration'] = durations[plant['duration']] |
| yield plant |
| |
| with beam.Pipeline() as pipeline: |
| durations = pipeline | 'Durations dict' >> beam.Create([ |
| (0, 'annual'), |
| (1, 'biennial'), |
| (2, 'perennial'), |
| ]) |
| |
| valid_plants = ( |
| pipeline |
| | 'Gardening plants' >> beam.Create([ |
| {'icon': '🍓', 'name': 'Strawberry', 'duration': 2}, |
| {'icon': '🥕', 'name': 'Carrot', 'duration': 1}, |
| {'icon': '🍆', 'name': 'Eggplant', 'duration': 2}, |
| {'icon': '🍅', 'name': 'Tomato', 'duration': 0}, |
| {'icon': '🥔', 'name': 'Potato', 'duration': -1}, |
| ]) |
| | 'Replace duration if valid' >> beam.FlatMap( |
| replace_duration_if_valid, |
| durations=beam.pvalue.AsDict(durations), |
| ) |
| | beam.Map(print) |
| ) |
| # [END flatmap_side_inputs_dict] |
| if test: |
| test(valid_plants) |