[
https://issues.apache.org/jira/browse/BEAM-1577?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Mark Liu resolved BEAM-1577.
----------------------------
Resolution: Fixed
Fix Version/s: 0.6.0
> Python BigqueryTornadoes Example Failed
> ---------------------------------------
>
> Key: BEAM-1577
> URL: https://issues.apache.org/jira/browse/BEAM-1577
> Project: Beam
> Issue Type: Bug
> Components: sdk-py
> Affects Versions: 0.6.0
> Reporter: Mark Liu
> Assignee: Mark Liu
> Fix For: 0.6.0
>
>
> 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:
> {code}
> 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']
> {code}
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