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Posted to issues@beam.apache.org by "Jeff Webb (Jira)" <ji...@apache.org> on 2021/09/15 18:20:00 UTC
[jira] [Updated] (BEAM-11883) Unsupported operand type with
PeriodicImpulse in Python
[ https://issues.apache.org/jira/browse/BEAM-11883?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jeff Webb updated BEAM-11883:
-----------------------------
Status: Open (was: Triage Needed)
> Unsupported operand type with PeriodicImpulse in Python
> -------------------------------------------------------
>
> Key: BEAM-11883
> URL: https://issues.apache.org/jira/browse/BEAM-11883
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
> Affects Versions: 2.28.0
> Reporter: Minbo Bae
> Priority: P3
>
> {{PeriodicImpluse}} throws {{TypeError}} if {{Timetamp}} is used as {{start_timestamp}} and {{stop_timestamp parameters}}.
>
> With the following example,
>
> {code:java}
> import logging
> from apache_beam import ParDo
> from apache_beam import Pipeline
> from apache_beam.options.pipeline_options import PipelineOptions
> from apache_beam.transforms.periodicsequence import PeriodicImpulse
> def run(argv=None):
> options = PipelineOptions(argv)
> with Pipeline(options=options) as p:
> (p
> | PeriodicImpulse() # By default,
> # start_timestamp=Timestamp.now(),
> # stop_timestamp=MAX_TIMESTAMP,
> # fire_interval=360.0,
> | ParDo(lambda x: logging.info('element: %s', x))
> )
> if __name__ == '__main__':
> run()
> {code}
>
> Running with DirectRunner fails with the following stacktrace.
> {noformat}
> Traceback (most recent call last):
> File "apache_beam/runners/common.py", line 1239, in apache_beam.runners.common.DoFnRunner.process
> File "apache_beam/runners/common.py", line 587, in apache_beam.runners.common.SimpleInvoker.invoke_process
> File "apache_beam/runners/common.py", line 1374, in apache_beam.runners.common._OutputProcessor.process_outputs
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/runners/worker/bundle_processor.py", line 1426, in process
> element)
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/transforms/periodicsequence.py", line 42, in initial_restriction
> total_outputs = math.ceil((end - start) / interval)
> TypeError: unsupported operand type(s) for /: 'Duration' and 'float'During handling of the above exception, another exception occurred:Traceback (most recent call last):
> File "/Users/baeminbo/Documents/workspace/dataflow-python/periodic_impulse_pipeline.py", line 22, in <module>
> run()
> File "/Users/baeminbo/Documents/workspace/dataflow-python/periodic_impulse_pipeline.py", line 18, in run
> | ParDo(lambda x: logging.info('element: %s', x))
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/pipeline.py", line 580, in __exit__
> self.result = self.run()
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/pipeline.py", line 559, in run
> return self.runner.run_pipeline(self, self._options)
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/runners/direct/direct_runner.py", line 133, in run_pipeline
> return runner.run_pipeline(pipeline, options)
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/runners/portability/fn_api_runner/fn_runner.py", line 183, in run_pipeline
> pipeline.to_runner_api(default_environment=self._default_environment))
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/runners/portability/fn_api_runner/fn_runner.py", line 193, in run_via_runner_api
> return self.run_stages(stage_context, stages)
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/runners/portability/fn_api_runner/fn_runner.py", line 359, in run_stages
> bundle_context_manager,
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/runners/portability/fn_api_runner/fn_runner.py", line 555, in _run_stage
> bundle_manager)
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/runners/portability/fn_api_runner/fn_runner.py", line 595, in _run_bundle
> data_input, data_output, input_timers, expected_timer_output)
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/runners/portability/fn_api_runner/fn_runner.py", line 896, in process_bundle
> result_future = self._worker_handler.control_conn.push(process_bundle_req)
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/runners/portability/fn_api_runner/worker_handlers.py", line 380, in push
> response = self.worker.do_instruction(request)
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/runners/worker/sdk_worker.py", line 607, in do_instruction
> getattr(request, request_type), request.instruction_id)
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/runners/worker/sdk_worker.py", line 644, in process_bundle
> bundle_processor.process_bundle(instruction_id))
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/runners/worker/bundle_processor.py", line 1000, in process_bundle
> element.data)
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/runners/worker/bundle_processor.py", line 228, in process_encoded
> self.output(decoded_value)
> File "apache_beam/runners/worker/operations.py", line 357, in apache_beam.runners.worker.operations.Operation.output
> File "apache_beam/runners/worker/operations.py", line 359, in apache_beam.runners.worker.operations.Operation.output
> File "apache_beam/runners/worker/operations.py", line 221, in apache_beam.runners.worker.operations.SingletonConsumerSet.receive
> File "apache_beam/runners/worker/operations.py", line 718, in apache_beam.runners.worker.operations.DoOperation.process
> File "apache_beam/runners/worker/operations.py", line 719, in apache_beam.runners.worker.operations.DoOperation.process
> File "apache_beam/runners/common.py", line 1241, in apache_beam.runners.common.DoFnRunner.process
> File "apache_beam/runners/common.py", line 1306, in apache_beam.runners.common.DoFnRunner._reraise_augmented
> File "apache_beam/runners/common.py", line 1239, in apache_beam.runners.common.DoFnRunner.process
> File "apache_beam/runners/common.py", line 587, in apache_beam.runners.common.SimpleInvoker.invoke_process
> File "apache_beam/runners/common.py", line 1401, in apache_beam.runners.common._OutputProcessor.process_outputs
> File "apache_beam/runners/worker/operations.py", line 221, in apache_beam.runners.worker.operations.SingletonConsumerSet.receive
> File "apache_beam/runners/worker/operations.py", line 718, in apache_beam.runners.worker.operations.DoOperation.process
> File "apache_beam/runners/worker/operations.py", line 719, in apache_beam.runners.worker.operations.DoOperation.process
> File "apache_beam/runners/common.py", line 1241, in apache_beam.runners.common.DoFnRunner.process
> File "apache_beam/runners/common.py", line 1306, in apache_beam.runners.common.DoFnRunner._reraise_augmented
> File "apache_beam/runners/common.py", line 1239, in apache_beam.runners.common.DoFnRunner.process
> File "apache_beam/runners/common.py", line 587, in apache_beam.runners.common.SimpleInvoker.invoke_process
> File "apache_beam/runners/common.py", line 1401, in apache_beam.runners.common._OutputProcessor.process_outputs
> File "apache_beam/runners/worker/operations.py", line 221, in apache_beam.runners.worker.operations.SingletonConsumerSet.receive
> File "apache_beam/runners/worker/operations.py", line 718, in apache_beam.runners.worker.operations.DoOperation.process
> File "apache_beam/runners/worker/operations.py", line 719, in apache_beam.runners.worker.operations.DoOperation.process
> File "apache_beam/runners/common.py", line 1241, in apache_beam.runners.common.DoFnRunner.process
> File "apache_beam/runners/common.py", line 1321, in apache_beam.runners.common.DoFnRunner._reraise_augmented
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/future/utils/__init__.py", line 446, in raise_with_traceback
> raise exc.with_traceback(traceback)
> File "apache_beam/runners/common.py", line 1239, in apache_beam.runners.common.DoFnRunner.process
> File "apache_beam/runners/common.py", line 587, in apache_beam.runners.common.SimpleInvoker.invoke_process
> File "apache_beam/runners/common.py", line 1374, in apache_beam.runners.common._OutputProcessor.process_outputs
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/runners/worker/bundle_processor.py", line 1426, in process
> element)
> File "/Users/baeminbo/Documents/workspace/dataflow-python/env3/lib/python3.6/site-packages/apache_beam/transforms/periodicsequence.py", line 42, in initial_restriction
> total_outputs = math.ceil((end - start) / interval)
> TypeError: unsupported operand type(s) for /: 'Duration' and 'float' [while running 'PeriodicImpulse/GenSequence/PairWithRestriction']Process finished with exit code 1
> {noformat}
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