[jira] [Created] (BEAM-9832) KeyError: 'No such coder: ' in fn_runner_test

["Ning Kang (Jira)" <ji...@apache.org>]

Ning Kang created BEAM-9832:
-------------------------------

             Summary: KeyError: 'No such coder: ' in fn_runner_test
                 Key: BEAM-9832
                 URL: https://issues.apache.org/jira/browse/BEAM-9832
             Project: Beam
          Issue Type: Test
          Components: sdk-py-core, test-failures
            Reporter: Ning Kang


Failed test results can be found [here|[https://builds.apache.org/job/beam_PreCommit_Python_Commit/12525/]]

 

A stack trace:
{code:java}
self = <apache_beam.runners.portability.fn_api_runner.fn_runner_test.FnApiRunnerTestWithMultiWorkers testMethod=test_read>

    def test_read(self):
      # Can't use NamedTemporaryFile as a context
      # due to https://bugs.python.org/issue14243
      temp_file = tempfile.NamedTemporaryFile(delete=False)
      try:
        temp_file.write(b'a\nb\nc')
        temp_file.close()
        with self.create_pipeline() as p:
          assert_that(
>             p | beam.io.ReadFromText(temp_file.name), equal_to(['a', 'b', 'c']))

apache_beam/runners/portability/fn_api_runner/fn_runner_test.py:625: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
apache_beam/pipeline.py:529: in __exit__
    self.run().wait_until_finish()
apache_beam/pipeline.py:502: in run
    self._options).run(False)
apache_beam/pipeline.py:515: in run
    return self.runner.run_pipeline(self, self._options)
apache_beam/runners/portability/fn_api_runner/fn_runner.py:173: in run_pipeline
    pipeline.to_runner_api(default_environment=self._default_environment))
apache_beam/runners/portability/fn_api_runner/fn_runner.py:183: in run_via_runner_api
    return self.run_stages(stage_context, stages)
apache_beam/runners/portability/fn_api_runner/fn_runner.py:331: in run_stages
    bundle_context_manager,
apache_beam/runners/portability/fn_api_runner/fn_runner.py:508: in _run_stage
    bundle_manager)
apache_beam/runners/portability/fn_api_runner/fn_runner.py:546: in _run_bundle
    data_input, data_output, input_timers, expected_timer_output)
apache_beam/runners/portability/fn_api_runner/fn_runner.py:927: in process_bundle
    timer_inputs)):
/usr/lib/python3.5/concurrent/futures/_base.py:556: in result_iterator
    yield future.result()
/usr/lib/python3.5/concurrent/futures/_base.py:405: in result
    return self.__get_result()
/usr/lib/python3.5/concurrent/futures/_base.py:357: in __get_result
    raise self._exception
apache_beam/utils/thread_pool_executor.py:44: in run
    self._future.set_result(self._fn(*self._fn_args, **self._fn_kwargs))
apache_beam/runners/portability/fn_api_runner/fn_runner.py:923: in execute
    dry_run)
apache_beam/runners/portability/fn_api_runner/fn_runner.py:826: in process_bundle
    result_future = self._worker_handler.control_conn.push(process_bundle_req)
apache_beam/runners/portability/fn_api_runner/worker_handlers.py:353: in push
    response = self.worker.do_instruction(request)
apache_beam/runners/worker/sdk_worker.py:471: in do_instruction
    getattr(request, request_type), request.instruction_id)
apache_beam/runners/worker/sdk_worker.py:500: in process_bundle
    instruction_id, request.process_bundle_descriptor_id)
apache_beam/runners/worker/sdk_worker.py:374: in get
    self.data_channel_factory)
apache_beam/runners/worker/bundle_processor.py:782: in __init__
    self.ops = self.create_execution_tree(self.process_bundle_descriptor)
apache_beam/runners/worker/bundle_processor.py:837: in create_execution_tree
    descriptor.transforms, key=topological_height, reverse=True)
apache_beam/runners/worker/bundle_processor.py:836: in <listcomp>
    (transform_id, get_operation(transform_id)) for transform_id in sorted(
apache_beam/runners/worker/bundle_processor.py:726: in wrapper
    result = cache[args] = func(*args)
apache_beam/runners/worker/bundle_processor.py:820: in get_operation
    pcoll_id in descriptor.transforms[transform_id].outputs.items()
apache_beam/runners/worker/bundle_processor.py:820: in <dictcomp>
    pcoll_id in descriptor.transforms[transform_id].outputs.items()
apache_beam/runners/worker/bundle_processor.py:818: in <listcomp>
    tag: [get_operation(op) for op in pcoll_consumers[pcoll_id]]
apache_beam/runners/worker/bundle_processor.py:726: in wrapper
    result = cache[args] = func(*args)
apache_beam/runners/worker/bundle_processor.py:823: in get_operation
    transform_id, transform_consumers)
apache_beam/runners/worker/bundle_processor.py:1108: in create_operation
    return creator(self, transform_id, transform_proto, payload, consumers)
apache_beam/runners/worker/bundle_processor.py:1341: in create_pair_with_restriction
    return _create_sdf_operation(PairWithRestriction, *args)
apache_beam/runners/worker/bundle_processor.py:1404: in _create_sdf_operation
    parameter)
apache_beam/runners/worker/bundle_processor.py:1501: in _create_pardo_operation
    output_coders = factory.get_output_coders(transform_proto)
apache_beam/runners/worker/bundle_processor.py:1154: in get_output_coders
    pcoll_id in transform_proto.outputs.items()
apache_beam/runners/worker/bundle_processor.py:1154: in <dictcomp>
    pcoll_id in transform_proto.outputs.items()
apache_beam/runners/worker/bundle_processor.py:1139: in get_windowed_coder
    coder = self.get_coder(self.descriptor.pcollections[pcoll_id].coder_id)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.worker.bundle_processor.BeamTransformFactory object at 0x7f4248bf5160>
coder_id = ''

    def get_coder(self, coder_id):
      # type: (str) -> coders.Coder
      if coder_id not in self.descriptor.coders:
>       raise KeyError("No such coder: %s" % coder_id)
E       KeyError: 'No such coder: '

apache_beam/runners/worker/bundle_processor.py:1128: KeyError
{code}



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