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https://issues.apache.org/jira/browse/BEAM-562?focusedWorklogId=236455&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-236455
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ASF GitHub Bot logged work on BEAM-562:
---------------------------------------
Author: ASF GitHub Bot
Created on: 02/May/19 18:04
Start Date: 02/May/19 18:04
Worklog Time Spent: 10m
Work Description: lukecwik commented on issue #7994: [BEAM-562] Add
DoFn.setup and DoFn.teardown to Python SDK
URL: https://github.com/apache/beam/pull/7994#issuecomment-488772920
@pabloem Your correct that setup/teardown are not part of bundle execution
but are part of the DoFn lifecycle.
Metrics outside of a bundle do make sense since you may want to capture
something like memory usage, CPU utilization, caching stats, ... that cross
bundle boundaries or are global. A lot of this falls under worker "health"
though.
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Issue Time Tracking
-------------------
Worklog Id: (was: 236455)
Time Spent: 8h 10m (was: 8h)
> 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
> Time Spent: 8h 10m
> 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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