Google Python云数据流实例在没有新部署的情况下发生故障（pubsub导入失败）

Question

I have defined a few different Cloud Dataflow jobs for Python in the Google AppEngine Flex Environment. I have defined my requirements in a requirements.txt file, included my setup.py file, and everything was working just fine. My last deployment was on May 3rd, 2018. Looking through logs, I see that one of my jobs began failing on May 22nd, 2018. The job fails with a stack trace resulting from a bad import, seen below.

Traceback (most recent call last):
  File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/batchworker.py", line 582, in do_work
    work_executor.execute()
  File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/executor.py", line 166, in execute
    op.start()
  File "apache_beam/runners/worker/operations.py", line 294, in apache_beam.runners.worker.operations.DoOperation.start (apache_beam/runners/worker/operations.c:10607)
    def start(self):
  File "apache_beam/runners/worker/operations.py", line 295, in apache_beam.runners.worker.operations.DoOperation.start (apache_beam/runners/worker/operations.c:10501)
    with self.scoped_start_state:
  File "apache_beam/runners/worker/operations.py", line 300, in apache_beam.runners.worker.operations.DoOperation.start (apache_beam/runners/worker/operations.c:9702)
    pickler.loads(self.spec.serialized_fn))
  File "/usr/local/lib/python2.7/dist-packages/apache_beam/internal/pickler.py", line 225, in loads
    return dill.loads(s)
  File "/usr/local/lib/python2.7/dist-packages/dill/dill.py", line 277, in loads
    return load(file)
  File "/usr/local/lib/python2.7/dist-packages/dill/dill.py", line 266, in load
    obj = pik.load()
  File "/usr/lib/python2.7/pickle.py", line 858, in load
    dispatch[key](self)
  File "/usr/lib/python2.7/pickle.py", line 1090, in load_global
    klass = self.find_class(module, name)
  File "/usr/local/lib/python2.7/dist-packages/dill/dill.py", line 423, in find_class
    return StockUnpickler.find_class(self, module, name)
  File "/usr/lib/python2.7/pickle.py", line 1124, in find_class
    __import__(module)
  File "/usr/local/lib/python2.7/dist-packages/dataflow_pipeline/tally_overages.py", line 27, in <module>
    from google.cloud import pubsub
  File "/usr/local/lib/python2.7/dist-packages/google/cloud/pubsub.py", line 17, in <module>
    from google.cloud.pubsub_v1 import PublisherClient
  File "/usr/local/lib/python2.7/dist-packages/google/cloud/pubsub_v1/__init__.py", line 17, in <module>
    from google.cloud.pubsub_v1 import types
  File "/usr/local/lib/python2.7/dist-packages/google/cloud/pubsub_v1/types.py", line 26, in <module>
    from google.iam.v1.logging import audit_data_pb2
ImportError: No module named logging

So the main issue seems to come from the pubsub dependency relying on importing google.iam.v1.logging , which is installed from grpc-google-iam-v1 .

Here is my requirements.txt file

Flask==0.12.2
apache-beam[gcp]==2.1.1
gunicorn==19.7.1
google-cloud-dataflow==2.1.1
google-cloud-datastore==1.3.0
pytz
google-cloud-pubsub
google-gax
grpc-google-iam-v1
googleapis-common-protos
google-cloud==0.32
six==1.10.0
protobuf

I am able to run everything locally just fine by doing the following from my project.

$ virtualenv --no-site-packages .
$ . bin/activate
$ pip install --ignore-installed -r requirements.txt
$ python main.py
No handlers could be found for logger "oauth2client.contrib.multistore_file"
INFO:werkzeug: * Running on http://0.0.0.0:8080/ (Press CTRL+C to quit)
INFO:werkzeug: * Restarting with stat
No handlers could be found for logger "oauth2client.contrib.multistore_file"
WARNING:werkzeug: * Debugger is active!
INFO:werkzeug: * Debugger PIN: 317-820-645

specifically, I am able to do the following locally just fine

$ python
>>> from google.cloud import pubsub
>>> import google.iam.v1.logging
>>> google.iam.v1.logging.__file__
'/usr/local/Cellar/python/2.7.13/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/google/iam/v1/logging/__init__.pyc'

So I know that the installation of the grpc-google-iam-v1 package is working just fine locally.. the required files are there.

My questions are

1. Why is the install of grpc-google-iam-v1 on the Google AppEngine Flex Environment not installing all of the files correctly? I must be missing the /site-packages/google/iam/v1/logging directory.
2. Why would this randomly start failing? I didn't do any more deploys, the same code was running and working on the 21st and then it broke on the 22nd on May.

---

I was able to get the pipeline running again after changing the requirements.txt file to

Flask==0.12.2
apache-beam[gcp]
google-cloud-dataflow
gunicorn==19.7.1
google-cloud-datastore==1.3.0
pytz
google-cloud-pubsub
google-gax
grpc-google-iam-v1
googleapis-common-protos
google-cloud==0.32
six==1.10.0
protobuf

so simply removing the version requirements from apache-beam[gcp] and google-cloud-dataflow did the trick.

Answer 1

Building on the solution provided by John Allard , removing the version from the requirements.txt will automatically default to the latest version. Thus, with no version specified for apache-beam[gcp] , google-cloud-dataflow and google-cloud-pubsub they will all run on the latest version and solve the dependency issue. The requirements.txt will look like the following:

Flask==0.12.2
apache-beam[gcp]
gunicorn==19.7.1
google-cloud-dataflow
google-cloud-datastore==1.3.0
pytz
google-cloud-pubsub
google-gax
grpc-google-iam-v1
googleapis-common-protos
google-cloud==0.32
six==1.10.0
protobuf