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https://issues.apache.org/jira/browse/BEAM-7389?focusedWorklogId=264846&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-264846
]
ASF GitHub Bot logged work on BEAM-7389:
----------------------------------------
Author: ASF GitHub Bot
Created on: 21/Jun/19 17:45
Start Date: 21/Jun/19 17:45
Worklog Time Spent: 10m
Work Description: ibzib commented on pull request #8901: [BEAM-7389] Add
Python snippet for FlatMap transform
URL: https://github.com/apache/beam/pull/8901#discussion_r296331921
##########
File path:
sdks/python/apache_beam/examples/snippets/transforms/element_wise/flat_map.py
##########
@@ -0,0 +1,220 @@
+# 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 flat_map_simple(test=None):
+ # [START flat_map_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 flat_map_simple]
+ if test:
+ test(plants)
+
+
+def flat_map_function(test=None):
+ # [START flat_map_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 flat_map_function]
+ if test:
+ test(plants)
+
+
+def flat_map_lambda(test=None):
+ # [START flat_map_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 flat_map_lambda]
+ if test:
+ test(plants)
+
+
+def flat_map_generator(test=None):
+ # [START flat_map_generator]
+ import apache_beam as beam
+
+ def list_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(list_elements)
+ | beam.Map(print)
+ )
+ # [END flat_map_generator]
+ if test:
+ test(plants)
+
+
+def flat_map_multiple_arguments(test=None):
+ # [START flat_map_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 flat_map_multiple_arguments]
+ if test:
+ test(plants)
+
+
+def flat_map_side_inputs_singleton(test=None):
+ # [START flat_map_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 flat_map_side_inputs_singleton]
+ if test:
+ test(plants)
+
+
+def flat_map_side_inputs_iter(test=None):
+ # [START flat_map_side_inputs_iter]
+ import apache_beam as beam
+
+ def validate_durations(plant, valid_durations):
Review comment:
I'd prefer a unique example transform for `flat_map_side_inputs_iter` that
could not be replaced by a filter
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Issue Time Tracking
-------------------
Worklog Id: (was: 264846)
Time Spent: 11h 50m (was: 11h 40m)
> Colab examples for element-wise transforms (Python)
> ---------------------------------------------------
>
> Key: BEAM-7389
> URL: https://issues.apache.org/jira/browse/BEAM-7389
> Project: Beam
> Issue Type: Improvement
> Components: website
> Reporter: Rose Nguyen
> Assignee: David Cavazos
> Priority: Minor
> Time Spent: 11h 50m
> Remaining Estimate: 0h
>
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