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https://issues.apache.org/jira/browse/BEAM-7348?focusedWorklogId=244028&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-244028
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ASF GitHub Bot logged work on BEAM-7348:
----------------------------------------
Author: ASF GitHub Bot
Created on: 17/May/19 13:53
Start Date: 17/May/19 13:53
Worklog Time Spent: 10m
Work Description: tweise commented on pull request #8599: [BEAM-7348]
Support environment expiration
URL: https://github.com/apache/beam/pull/8599
It turns out that this capability fits easily into the existing structure.
We can probably handle expiration in `SimpleStageBundleFactory` and remove the
wrapper.
------------------------
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Issue Time Tracking
-------------------
Worklog Id: (was: 244028)
Time Spent: 10m
Remaining Estimate: 0h
> Option to expire SDK worker environments
> ----------------------------------------
>
> Key: BEAM-7348
> URL: https://issues.apache.org/jira/browse/BEAM-7348
> Project: Beam
> Issue Type: Improvement
> Components: runner-core
> Affects Versions: 2.12.0
> Reporter: Thomas Weise
> Assignee: Thomas Weise
> Priority: Major
> Labels: portability, portability-flink
> Time Spent: 10m
> Remaining Estimate: 0h
>
> We discovered that Python SDK workers are susceptible to memory leaks that
> are quite hard to identify and/or fix. This becomes an issue in streaming
> pipelines, where the workers run "forever". It would be good if the user has
> an option to recycle the workers when there is no other practical way to
> address (slow) resource leaks.
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