[jira] [Commented] (BEAM-13040) AsIter side input is not correctly recognized as a dependency.

["Beam JIRA Bot (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/BEAM-13040?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17528921#comment-17528921 ] 

Beam JIRA Bot commented on BEAM-13040:
--------------------------------------

This issue is P2 but has been unassigned without any comment for 60 days so it has been labeled "stale-P2". If this issue is still affecting you, we care! Please comment and remove the label. Otherwise, in 14 days the issue will be moved to P3.

Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed explanation of what these priorities mean.


> AsIter side input is not correctly recognized as a dependency.
> --------------------------------------------------------------
>
>                 Key: BEAM-13040
>                 URL: https://issues.apache.org/jira/browse/BEAM-13040
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core
>         Environment: Linux Debian 5.10 x86_64
> Python 3.8.11
>            Reporter: Jongbin Park
>            Priority: P2
>              Labels: stale-P2
>          Time Spent: 50m
>  Remaining Estimate: 0h
>
> The error is happening at current master (head). It is fine on the latest release (2.33.0).
> Example to reproduce: 
> {code:python}
> import unittest
> import apache_beam as beam
> class LoggingFn(beam.DoFn):
>   def __init__(self, name):
>     self._name = name
>   def process(self, element, *side_inputs):
>     print(f'Running {self._name} (side inputs: {[list(s) for s in side_inputs]})')
>     return [self._name]
> class BeamDagTest(unittest.TestCase):
>   def test_dag(self):
>     with beam.Pipeline() as p:
>       root = p | 'CreateRoot' >> beam.Create([None])
>       example_gen = root | 'CsvExampleGen' >> beam.ParDo(
>           LoggingFn('CsvExampleGen'),
>       )
>       statistics_gen = root | 'StatisticsGen' >> beam.ParDo(
>           LoggingFn('StatisticsGen'),
>           beam.pvalue.AsIter(example_gen),  # AsIter to specify upstream task dependency.
>       )
>       schema_gen = root | 'SchemaGen' >> beam.ParDo(
>           LoggingFn('SchemaGen'),
>           beam.pvalue.AsIter(statistics_gen),
>       )
>       example_validator = root | 'ExampleValidator' >> beam.ParDo(
>           LoggingFn('ExampleValidator'),
>           beam.pvalue.AsIter(statistics_gen),
>           beam.pvalue.AsIter(schema_gen),
>       )
>       transform = root | 'Transform' >> beam.ParDo(
>           LoggingFn('Transform'),
>           beam.pvalue.AsIter(example_gen),
>           beam.pvalue.AsIter(schema_gen),
>       )
>       trainer = root | 'Trainer' >> beam.ParDo(
>           LoggingFn('Trainer'),
>           beam.pvalue.AsIter(example_gen),
>           beam.pvalue.AsIter(schema_gen),
>           beam.pvalue.AsIter(transform),
>       )
>       model_resolver = root | 'latest_blessed_model_resolver' >> beam.ParDo(
>           LoggingFn('latest_blessed_model_resolver'),
>       )
>       evaluator = root | 'Evaluator' >> beam.ParDo(
>           LoggingFn('Evaluator'),
>           beam.pvalue.AsIter(example_gen),
>           beam.pvalue.AsIter(trainer),
>           beam.pvalue.AsIter(model_resolver),
>       )
>       pusher = root | 'Pusher' >> beam.ParDo(
>           LoggingFn('Pusher'),
>           beam.pvalue.AsIter(trainer),
>           beam.pvalue.AsIter(evaluator),
>       ){code}
>  
>  According to AsIter [documentation|https://github.com/apache/beam/blob/64ec15fa2208d8f9b5ca5653866e1992fd07f7dc/sdks/python/apache_beam/pvalue.py#L527], entire PCollection should be made available as a side input, which means side input PTransform should run before the current PTransform. We used to exploit this feature to run DAG of tasks by injecting task dependency with side inputs, however this mechanism does not work properly in current master (71d7213d98):
> Output with apache-beam==2.33.0:
> {code:java}
> Running CsvExampleGen (side inputs: [])
> Running latest_blessed_model_resolver (side inputs: [])
> Running StatisticsGen (side inputs: [['CsvExampleGen']])
> Running SchemaGen (side inputs: [['StatisticsGen']])
> Running ExampleValidator (side inputs: [['StatisticsGen'], ['SchemaGen']])
> Running Transform (side inputs: [['CsvExampleGen'], ['SchemaGen']])
> Running Trainer (side inputs: [['CsvExampleGen'], ['SchemaGen'], ['Transform']])
> Running Evaluator (side inputs: [['CsvExampleGen'], ['Trainer'], ['latest_blessed_model_resolver']])
> Running Pusher (side inputs: [['Trainer'], ['Evaluator']]){code}
> Output with apache-beam installed from 71d7213d98 (origin/master):
> {code:java}
> Running CsvExampleGen (side inputs: [])
> Running latest_blessed_model_resolver (side inputs: [])
> Running StatisticsGen (side inputs: [['CsvExampleGen']])
> Running Pusher (side inputs: [[], []])
> Running Evaluator (side inputs: [['CsvExampleGen'], [], ['latest_blessed_model_resolver']])
> Running SchemaGen (side inputs: [['StatisticsGen']])
> Running Trainer (side inputs: [['CsvExampleGen'], ['SchemaGen'], []])
> Running ExampleValidator (side inputs: [['StatisticsGen'], ['SchemaGen']])
> Running Transform (side inputs: [['CsvExampleGen'], ['SchemaGen']]){code}



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