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https://issues.apache.org/jira/browse/BEAM-3342?focusedWorklogId=357610&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-357610
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ASF GitHub Bot logged work on BEAM-3342:
----------------------------------------
Author: ASF GitHub Bot
Created on: 11/Dec/19 04:43
Start Date: 11/Dec/19 04:43
Worklog Time Spent: 10m
Work Description: mf2199 commented on issue #8457: [BEAM-3342] Create a
Cloud Bigtable IO connector for Python
URL: https://github.com/apache/beam/pull/8457#issuecomment-564376367
The [Beam-1251](https://issues.apache.org/jira/browse/BEAM-1251) suggests a
Py3 support issue, so back to Python 2. Rewrote the connector "from scratch".
Everything works fine when all the code is contained in a single file. After
packaging, the code still works with `direct` runner but fails with `dataflow`
- with the same `AttributeError`. Followed the Dataflow
[docs](https://beam.apache.org/documentation/runners/dataflow/),
[guidelines](https://cloud.google.com/dataflow/docs/guides/deploying-a-pipeline#Autotuning)
and
[FAQ](https://cloud.google.com/dataflow/docs/resources/faq#how-do-i-handle-nameerro),
as well as some
[Beam](https://beam.apache.org/documentation/sdks/python-pipeline-dependencies/)
and other documentation - yet no viable solution. The fact that the code works
both, as standalone (with both, `Dataflow` and `direct` runners) and packaged
(with `direct`) points out to some environment issue rather than the code
itself.
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Issue Time Tracking
-------------------
Worklog Id: (was: 357610)
Time Spent: 42h 40m (was: 42.5h)
> Create a Cloud Bigtable IO connector for Python
> -----------------------------------------------
>
> 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: Solomon Duskis
> Priority: Major
> Time Spent: 42h 40m
> Remaining Estimate: 0h
>
> I would like to create a Cloud Bigtable python connector.
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