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https://issues.apache.org/jira/browse/BEAM-562?focusedWorklogId=230308&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-230308
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ASF GitHub Bot logged work on BEAM-562:
---------------------------------------
Author: ASF GitHub Bot
Created on: 19/Apr/19 23:05
Start Date: 19/Apr/19 23:05
Worklog Time Spent: 10m
Work Description: kennknowles commented on issue #7994: [BEAM-562] Add
DoFn.setup and DoFn.teardown to Python SDK
URL: https://github.com/apache/beam/pull/7994#issuecomment-485034303
That line does not show a cloning of appliedptransform...
On Fri, Apr 19, 2019 at 3:44 PM Ahmet Altay <[email protected]>
wrote:
> 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
> )
>
> —
> You are receiving this because you were mentioned.
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Issue Time Tracking
-------------------
Worklog Id: (was: 230308)
Time Spent: 5h 50m (was: 5h 40m)
> 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 50m
> 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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