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Date: Wed, 1 Mar 2017 23:25:45 +0000 (UTC)
From: "Mark Liu (JIRA)" <jira@apache.org>
To: commits@beam.incubator.apache.org
Message-ID: <JIRA.13047157.1488333292000.36995.1488410745504@Atlassian.JIRA>
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Subject: [jira] [Closed] (BEAM-1577) Python BigqueryTornadoes Example Failed
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archived-at: Wed, 01 Mar 2017 23:25:52 -0000


     [ https://issues.apache.org/jira/browse/BEAM-1577?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Mark Liu closed BEAM-1577.
--------------------------

> 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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