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https://issues.apache.org/jira/browse/BEAM-8441?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17548243#comment-17548243
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Danny McCormick commented on BEAM-8441:
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This issue has been migrated to https://github.com/apache/beam/issues/19888
> Python 3 pipeline fails with errors in StockUnpickler.find_class() during
> loading a main session.
> --------------------------------------------------------------------------------------------------
>
> Key: BEAM-8441
> URL: https://issues.apache.org/jira/browse/BEAM-8441
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
> Reporter: Jannik Franz
> Priority: P3
>
> When running Apache Beam with Python3 on Google Cloud Dataflow the pipeline
> fails during pickler.load_session(session_file):
> StockUnpickler.find_class(self, module, name) AttributeError: Can't get
> attribute 'SomeAttribute' on <module 'dataflow_worker.start' from
> '/usr/local/lib/python3.6/site-packages/dataflow_worker/start.py'>
> Note that this is different from BEAM-8651, since the error happens in a
> Batch Pipeline on a Dataflow runner and the error happens consistently.
> When testing it in the local/direct runner there seems to be no issue.
>
> {code:java}
> class FlattenCustomActions(beam.PTransform):
> """ Transforms Facebook Day Actions Only retains actions with
> custom_conversions
> Flattens the actions
> Adds custom conversions names using a side input
> """
> def __init__(self, conversions):
> super(FlattenCustomActions, self).__init__()
> self.conversions = conversions def expand(self, input_or_inputs):
> return (
> input_or_inputs
> | "FlattenActions" >> beam.ParDo(flatten_filter_actions)
> | "AddConversionName" >> beam.Map(add_conversion_name,
> self.conversions)
> )
> # ...
> # in run():
> pipeline_options = PipelineOptions(pipeline_args)
> pipeline_options.view_as(SetupOptions).save_main_session = True
> p = beam.Pipeline(options=pipeline_options)
> conversions_output = (
> p
> | "ReadConversions" >> ReadFromText(known_args.input_conversions,
> coder=JsonCoder())
> | TransformConversionMetadata()
> ) (
> conversions_output
> | "WriteConversions"
> >> WriteCoerced(
> known_args.output_conversions,
> known_args.output_type,
> schema_path=BIGQUERY_SCHEMA_CONVERSIONS_PATH,
> )
> ) (
> p
> | ReadFacebookJson(known_args.input, retain_root_fields=True)
> | FlattenCustomActions(beam.pvalue.AsList(conversions_output))
> | "WriteActions"
> >> WriteCoerced(
> known_args.output, known_args.output_type,
> schema_path=BIGQUERY_SCHEMA_ACTIONS_PATH
> )
> ){code}
>
> I receive the following Traceback in Dataflow:
> {code:java}
> Traceback (most recent call last):
> File
> "/usr/local/lib/python3.6/site-packages/dataflow_worker/batchworker.py", line
> 773, in run self._load_main_session(self.local_staging_directory)
> File
> "/usr/local/lib/python3.6/site-packages/dataflow_worker/batchworker.py", line
> 489, in _load_main_session pickler.load_session(session_file)
> File
> "/usr/local/lib/python3.6/site-packages/apache_beam/internal/pickler.py",
> line 287, in load_session return dill.load_session(file_path)
> File "/usr/local/lib/python3.6/site-packages/dill/_dill.py", line 410, in
> load_session module = unpickler.load()
> File "/usr/local/lib/python3.6/site-packages/dill/_dill.py", line 474, in
> find_class return StockUnpickler.find_class(self, module, name)
> AttributeError: Can't get attribute 'FlattenCustomActions' on <module
> 'dataflow_worker.start' from
> '/usr/local/lib/python3.6/site-packages/dataflow_worker/start.py'>
> {code}
>
>
>
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