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Solomon Duskis commented on BEAM-3342: -------------------------------------- I started with a simple pipeline that writes to Cloud Bigtable via the google.cloud bigtable package, which works locally with google.cloud installed, but doesn't work when I use a dataflow runner. Here's what I get: == message: "Not processing workitem 2633526545277283048 since a deferred exception was found: Traceback (most recent call last): File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/batchworker.py", line 706, in run self._load_main_session(self.local_staging_directory) File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/batchworker.py", line 446, in _load_main_session pickler.load_session(session_file) File "/usr/local/lib/python2.7/dist-packages/apache_beam/internal/pickler.py", line 247, in load_session return dill.load_session(file_path) File "/usr/local/lib/python2.7/dist-packages/dill/dill.py", line 363, in load_session module = unpickler.load() File "/usr/lib/python2.7/pickle.py", line 858, in load dispatch[key](self) File "/usr/lib/python2.7/pickle.py", line 1133, in load_reduce value = func(*args) File "/usr/local/lib/python2.7/dist-packages/dill/dill.py", line 767, in _import_module return getattr(__import__(module, None, None, [obj]), obj) AttributeError: 'module' object has no attribute 'bigtable' == Can I use the standard google.cloud bigtable client? If so, how, and why don't BigQuery and Storage use the google.cloud clients? > Create a Cloud Bigtable Python connector > ---------------------------------------- > > Key: BEAM-3342 > URL: https://issues.apache.org/jira/browse/BEAM-3342 > Project: Beam > Issue Type: Bug > Components: sdk-py-core > Reporter: Solomon Duskis > Assignee: Ahmet Altay > > I would like to create a Cloud Bigtable python connector. -- This message was sent by Atlassian JIRA (v6.4.14#64029)