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https://issues.apache.org/jira/browse/BEAM-562?focusedWorklogId=230295&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-230295
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ASF GitHub Bot logged work on BEAM-562:
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Author: ASF GitHub Bot
Created on: 19/Apr/19 22:44
Start Date: 19/Apr/19 22:44
Worklog Time Spent: 10m
Work Description: aaltay commented on issue #7994: [BEAM-562] Add
DoFn.setup and DoFn.teardown to Python SDK
URL: https://github.com/apache/beam/pull/7994#issuecomment-485031290
I cannot reply to this comment in place
> If self._perform_dofn_pickle_test is false, it looks like it is not cloned
but comes directly from self._appliedptransform.transform.dofn. Is the whole
appliedptransform clone per bundle?
applied transform will be a new instance for each bundle (for direct
runner). (See:
https://github.com/apache/beam/blob/master/sdks/python/apache_beam/runners/direct/executor.py#L366)
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Issue Time Tracking
-------------------
Worklog Id: (was: 230295)
Time Spent: 5h 40m (was: 5.5h)
> DoFn Reuse: Add new methods to DoFn
> -----------------------------------
>
> Key: BEAM-562
> URL: https://issues.apache.org/jira/browse/BEAM-562
> Project: Beam
> Issue Type: New Feature
> Components: sdk-py-core
> Reporter: Ahmet Altay
> Priority: Major
> Labels: sdk-consistency, triaged
> Time Spent: 5h 40m
> Remaining Estimate: 0h
>
> Java SDK added setup and teardown methods to the DoFns. This makes DoFns
> reusable and provide performance improvements. Python SDK should add support
> for these new DoFn methods:
> Proposal doc:
> https://docs.google.com/document/d/1LLQqggSePURt3XavKBGV7SZJYQ4NW8yCu63lBchzMRk/edit?ts=5771458f#
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