[BEAM-1577] Python BigqueryTornadoes Example Failed

• Type: Bug
• Status: Resolved
• Priority: P2
• Resolution: Fixed
• Affects Version/s: 0.6.0
• Fix Version/s: 0.6.0
• Component/s: sdk-py-core
• Assignee: Mark Liu
• Reporter: Mark Liu
• Created: 01/Mar/17 01:54
• Updated: 24/Jul/20 20:16
• Resolved: 01/Mar/17 23:24

Description

Running bigquery_tornadoes on DataflowRunner failed with following commands:

python -m apache_beam.examples.cookbook.bigquery_tornadoes \
--project google.com:clouddfe \
--runner DataflowRunner \
--staging_location gs://.../tmp/python/staging \
--temp_location gs://.../tmp/python/temp \
--output BigQueryTornadoesIT.monthly_tornadoes_0001 \
--sdk_location dist/apache-beam-0.6.0.dev0.tar.gz

JobName: beamapp-markliu-0301012437-463604
Job Link: https://pantheon.corp.google.com/dataflow/job/2017-02-28_17_24_39-6087587560567828169?project=google.com:clouddfe&organizationId=433637338589

Full stack trace:

Traceback (most recent call last):
  File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/batchworker.py", line 544, in do_work
    work_executor.execute()
  File "dataflow_worker/executor.py", line 971, in dataflow_worker.executor.MapTaskExecutor.execute (dataflow_worker/executor.c:30533)
    with op.scoped_metrics_container:
  File "dataflow_worker/executor.py", line 972, in dataflow_worker.executor.MapTaskExecutor.execute (dataflow_worker/executor.c:30481)
    op.start()
  File "dataflow_worker/executor.py", line 207, in dataflow_worker.executor.ReadOperation.start (dataflow_worker/executor.c:8758)
    def start(self):
  File "dataflow_worker/executor.py", line 208, in dataflow_worker.executor.ReadOperation.start (dataflow_worker/executor.c:8663)
    with self.scoped_start_state:
  File "dataflow_worker/executor.py", line 213, in dataflow_worker.executor.ReadOperation.start (dataflow_worker/executor.c:8579)
    with self.spec.source.reader() as reader:
  File "dataflow_worker/executor.py", line 223, in dataflow_worker.executor.ReadOperation.start (dataflow_worker/executor.c:8524)
    self.output(windowed_value)
  File "dataflow_worker/executor.py", line 151, in dataflow_worker.executor.Operation.output (dataflow_worker/executor.c:6317)
    cython.cast(Receiver, self.receivers[output_index]).receive(windowed_value)
  File "dataflow_worker/executor.py", line 84, in dataflow_worker.executor.ConsumerSet.receive (dataflow_worker/executor.c:4021)
    cython.cast(Operation, consumer).process(windowed_value)
  File "dataflow_worker/executor.py", line 544, in dataflow_worker.executor.DoOperation.process (dataflow_worker/executor.c:18474)
    with self.scoped_process_state:
  File "dataflow_worker/executor.py", line 545, in dataflow_worker.executor.DoOperation.process (dataflow_worker/executor.c:18428)
    self.dofn_receiver.receive(o)
  File "apache_beam/runners/common.py", line 195, in apache_beam.runners.common.DoFnRunner.receive (apache_beam/runners/common.c:5142)
    self.process(windowed_value)
  File "apache_beam/runners/common.py", line 267, in apache_beam.runners.common.DoFnRunner.process (apache_beam/runners/common.c:7201)
    self.reraise_augmented(exn)
  File "apache_beam/runners/common.py", line 279, in apache_beam.runners.common.DoFnRunner.reraise_augmented (apache_beam/runners/common.c:7590)
    raise type(exn), args, sys.exc_info()[2]
  File "apache_beam/runners/common.py", line 263, in apache_beam.runners.common.DoFnRunner.process (apache_beam/runners/common.c:7090)
    self._dofn_simple_invoker(element)
  File "apache_beam/runners/common.py", line 198, in apache_beam.runners.common.DoFnRunner._dofn_simple_invoker (apache_beam/runners/common.c:5288)
    self._process_outputs(element, self.dofn_process(element.value))
  File "apache_beam/runners/common.py", line 326, in apache_beam.runners.common.DoFnRunner._process_outputs (apache_beam/runners/common.c:8563)
    self.main_receivers.receive(windowed_value)
  File "dataflow_worker/executor.py", line 82, in dataflow_worker.executor.ConsumerSet.receive (dataflow_worker/executor.c:3987)
    self.update_counters_start(windowed_value)
  File "dataflow_worker/executor.py", line 88, in dataflow_worker.executor.ConsumerSet.update_counters_start (dataflow_worker/executor.c:4207)
    self.opcounter.update_from(windowed_value)
  File "dataflow_worker/opcounters.py", line 57, in dataflow_worker.opcounters.OperationCounters.update_from (dataflow_worker/opcounters.c:2396)
    self.do_sample(windowed_value)
  File "dataflow_worker/opcounters.py", line 75, in dataflow_worker.opcounters.OperationCounters.do_sample (dataflow_worker/opcounters.c:3017)
    self.coder_impl.get_estimated_size_and_observables(windowed_value))
  File "apache_beam/coders/coder_impl.py", line 695, in apache_beam.coders.coder_impl.WindowedValueCoderImpl.get_estimated_size_and_observables (apache_beam/coders/coder_impl.c:22894)
    def get_estimated_size_and_observables(self, value, nested=False):
  File "apache_beam/coders/coder_impl.py", line 704, in apache_beam.coders.coder_impl.WindowedValueCoderImpl.get_estimated_size_and_observables (apache_beam/coders/coder_impl.c:22613)
    self._value_coder.get_estimated_size_and_observables(
  File "apache_beam/coders/coder_impl.py", line 494, in apache_beam.coders.coder_impl.AbstractComponentCoderImpl.get_estimated_size_and_observables (apache_beam/coders/coder_impl.c:18402)
    c.get_estimated_size_and_observables(
  File "apache_beam/coders/coder_impl.py", line 247, in apache_beam.coders.coder_impl.FastPrimitivesCoderImpl.get_estimated_size_and_observables (apache_beam/coders/coder_impl.c:9564)
    out = ByteCountingOutputStream()
  File "apache_beam/coders/stream.pyx", line 28, in apache_beam.coders.stream.OutputStream.__cinit__ (apache_beam/coders/stream.c:1241)
    self.buffer_size = 1024
AttributeError: 'apache_beam.coders.stream.ByteCountingOutputStream' object has no attribute 'buffer_size' [while running 'months with tornatoes']