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https://issues.apache.org/jira/browse/BEAM-5788?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Mark Liu resolved BEAM-5788.
----------------------------
Resolution: Fixed
Fix Version/s: 2.10.0
> wordcount_fnapi_it failed on TestDataflowRunner because of JSON string
> decoding error
> -------------------------------------------------------------------------------------
>
> Key: BEAM-5788
> URL: https://issues.apache.org/jira/browse/BEAM-5788
> Project: Beam
> Issue Type: Sub-task
> Components: test-failures
> Reporter: Mark Liu
> Assignee: Mark Liu
> Priority: Major
> Fix For: 2.10.0
>
> Time Spent: 4h 50m
> Remaining Estimate: 0h
>
> Similar to BEAM-5785, wordcount_fnapi_it failed on Python 3 when running with
> TestDataflowRunner. Got TypeError: the JSON object must be str, not 'bytes'.
> This error cause infinite retry before job could submitted to service.
> More details about my env and test:
> Python version: 3.5.3
> Test:
> apache_beam.examples.wordcount_it_test:WordCountIT.test_wordcount_fnapi_it
> Command:
> {code}
> python setup.py nosetests \
> --tests
> apache_beam.examples.wordcount_it_test:WordCountIT.test_wordcount_fnapi_it \
> --nocapture \
> --nologcapture \
> --test-pipeline-options=" \
> --runner=TestDataflowRunner \
> --project=<my_project> \
> --staging_location=<my_staging> \
> --temp_location=<my_temp> \
> --output=<my_output> \
>
>
> --sdk_location=.../beam/sdks/python/dist/apache-beam-2.9.0.dev0.tar.gz \
> --num_workers=1"
> {code}
> Stacktrace:
> {code}
> WARNING:root:Retry with exponential backoff: waiting for 7.661876827680761
> seconds before retrying exists because we caught exception: TypeError: the
> JSON object must be str, not 'bytes'
> Traceback for above exception (most recent call last):
> File ".../beam/sdks/python/apache_beam/utils/retry.py", line 184, in wrapper
> return fun(*args, **kwargs)
> File ".../beam/sdks/python/apache_beam/io/gcp/gcsio.py", line 375, in exists
> self.client.objects.Get(request) # metadata
> File
> ".../beam/sdks/python/apache_beam/io/gcp/internal/clients/storage/storage_v1_client.py",
> line 955, in Get
> download=download)
> File
> ".../tmp/virtualenvs/py3-env/lib/python3.5/site-packages/apitools/base/py/base_api.py",
> line 722, in _RunMethod
> return self.ProcessHttpResponse(method_config, http_response, request)
> File
> ".../tmp/virtualenvs/py3-env/lib/python3.5/site-packages/apitools/base/py/base_api.py",
> line 728, in ProcessHttpResponse
> self.__ProcessHttpResponse(method_config, http_response, request))
> File
> ".../tmp/virtualenvs/py3-env/lib/python3.5/site-packages/apitools/base/py/base_api.py",
> line 611, in __ProcessHttpResponse
> response_type, http_response.content)
> File
> ".../tmp/virtualenvs/py3-env/lib/python3.5/site-packages/apitools/base/py/base_api.py",
> line 442, in DeserializeMessage
> message = encoding.JsonToMessage(response_type, data)
> File
> ".../tmp/virtualenvs/py3-env/lib/python3.5/site-packages/apitools/base/py/encoding.py",
> line 104, in JsonToMessage
> return _ProtoJsonApiTools.Get().decode_message(message_type, message)
> File
> ".../tmp/virtualenvs/py3-env/lib/python3.5/site-packages/apitools/base/py/encoding.py",
> line 290, in decode_message
> message_type, result)
> File
> ".../tmp/virtualenvs/py3-env/lib/python3.5/site-packages/apitools/base/protorpclite/protojson.py",
> line 210, in decode_message
> dictionary = json.loads(encoded_message)
> File "/usr/lib/python3.5/json/__init__.py", line 312, in loads
> s.__class__.__name__))
> {code}
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