[jira] [Work logged] (BEAM-7750) Pipeline instances are not garbage collected
[
https://issues.apache.org/jira/browse/BEAM-7750?focusedWorklogId=286841=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-286841
]
ASF GitHub Bot logged work on BEAM-7750:
Author: ASF GitHub Bot
Created on: 01/Aug/19 16:48
Start Date: 01/Aug/19 16:48
Worklog Time Spent: 10m
Work Description: charlesccychen commented on issue #9146: [BEAM-7750]
Don't map transforms to PubSub subscriptions unless necessary
URL: https://github.com/apache/beam/pull/9146#issuecomment-517368777
Thanks! This LGTM.
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Issue Time Tracking
---
Worklog Id: (was: 286841)
Time Spent: 2h 20m (was: 2h 10m)
> Pipeline instances are not garbage collected
>
>
> Key: BEAM-7750
> URL: https://issues.apache.org/jira/browse/BEAM-7750
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
>Affects Versions: 2.14.0
> Environment: OS: Debian rodete.
> Tested using:
> Beam versions: 2.13.0, 2.15.0.dev
> Python versions: Python 2.7, Python 3.7.
> Runners: DirectRunner, DataflowRunner.
>Reporter: Alexey Strokach
>Priority: Minor
> Time Spent: 2h 20m
> Remaining Estimate: 0h
>
> It seems that Apache Beam's Pipeline instances are not garbage collected,
> even if the pipelines are finished or cancelled and there are no references
> to those pipelines in the Python interpreter.
> For pipelines executed in a script, this is not a problem. However, for
> interactive pipelines executed inside a Jupyter notebook, this limits how
> well we can track and remove the dependencies of those pipelines. For
> example, if a pipeline reads from some cache, it would be nice to be able to
> delete that cache once there are no references to it from pipelines or the
> global namespace.
> The issue can be reproduced using the following script:
> [https://gist.github.com/ostrokach/a16556dc77c96b87fe23c2fbd8fb6346].
> -
> On further examination, turns out that this is due to the
> [{{_PubSubReadEvaluator._subscription_cache}}|https://github.com/apache/beam/blob/27bb5bc7b244809e7f6022adb2730d10204ce4d3/sdks/python/apache_beam/runners/direct/transform_evaluator.py#L418]
> class attribute keeping references to all {{ReadFromPubSub}} transforms.
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[jira] [Work logged] (BEAM-7750) Pipeline instances are not garbage collected
[
https://issues.apache.org/jira/browse/BEAM-7750?focusedWorklogId=286842=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-286842
]
ASF GitHub Bot logged work on BEAM-7750:
Author: ASF GitHub Bot
Created on: 01/Aug/19 16:48
Start Date: 01/Aug/19 16:48
Worklog Time Spent: 10m
Work Description: charlesccychen commented on pull request #9146:
[BEAM-7750] Don't map transforms to PubSub subscriptions unless necessary
URL: https://github.com/apache/beam/pull/9146
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Issue Time Tracking
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Worklog Id: (was: 286842)
Time Spent: 2.5h (was: 2h 20m)
> Pipeline instances are not garbage collected
>
>
> Key: BEAM-7750
> URL: https://issues.apache.org/jira/browse/BEAM-7750
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
>Affects Versions: 2.14.0
> Environment: OS: Debian rodete.
> Tested using:
> Beam versions: 2.13.0, 2.15.0.dev
> Python versions: Python 2.7, Python 3.7.
> Runners: DirectRunner, DataflowRunner.
>Reporter: Alexey Strokach
>Priority: Minor
> Time Spent: 2.5h
> Remaining Estimate: 0h
>
> It seems that Apache Beam's Pipeline instances are not garbage collected,
> even if the pipelines are finished or cancelled and there are no references
> to those pipelines in the Python interpreter.
> For pipelines executed in a script, this is not a problem. However, for
> interactive pipelines executed inside a Jupyter notebook, this limits how
> well we can track and remove the dependencies of those pipelines. For
> example, if a pipeline reads from some cache, it would be nice to be able to
> delete that cache once there are no references to it from pipelines or the
> global namespace.
> The issue can be reproduced using the following script:
> [https://gist.github.com/ostrokach/a16556dc77c96b87fe23c2fbd8fb6346].
> -
> On further examination, turns out that this is due to the
> [{{_PubSubReadEvaluator._subscription_cache}}|https://github.com/apache/beam/blob/27bb5bc7b244809e7f6022adb2730d10204ce4d3/sdks/python/apache_beam/runners/direct/transform_evaluator.py#L418]
> class attribute keeping references to all {{ReadFromPubSub}} transforms.
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[jira] [Work logged] (BEAM-7750) Pipeline instances are not garbage collected
[
https://issues.apache.org/jira/browse/BEAM-7750?focusedWorklogId=283714=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-283714
]
ASF GitHub Bot logged work on BEAM-7750:
Author: ASF GitHub Bot
Created on: 27/Jul/19 01:20
Start Date: 27/Jul/19 01:20
Worklog Time Spent: 10m
Work Description: aaltay commented on issue #9146: [BEAM-7750] Don't map
transforms to PubSub subscriptions unless necessary
URL: https://github.com/apache/beam/pull/9146#issuecomment-515640261
LGTM.
cc: @charlesccychen in case he has additional comments since he is the
original author.
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Issue Time Tracking
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Worklog Id: (was: 283714)
Time Spent: 2h 10m (was: 2h)
> Pipeline instances are not garbage collected
>
>
> Key: BEAM-7750
> URL: https://issues.apache.org/jira/browse/BEAM-7750
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
>Affects Versions: 2.14.0
> Environment: OS: Debian rodete.
> Tested using:
> Beam versions: 2.13.0, 2.15.0.dev
> Python versions: Python 2.7, Python 3.7.
> Runners: DirectRunner, DataflowRunner.
>Reporter: Alexey Strokach
>Priority: Minor
> Time Spent: 2h 10m
> Remaining Estimate: 0h
>
> It seems that Apache Beam's Pipeline instances are not garbage collected,
> even if the pipelines are finished or cancelled and there are no references
> to those pipelines in the Python interpreter.
> For pipelines executed in a script, this is not a problem. However, for
> interactive pipelines executed inside a Jupyter notebook, this limits how
> well we can track and remove the dependencies of those pipelines. For
> example, if a pipeline reads from some cache, it would be nice to be able to
> delete that cache once there are no references to it from pipelines or the
> global namespace.
> The issue can be reproduced using the following script:
> [https://gist.github.com/ostrokach/a16556dc77c96b87fe23c2fbd8fb6346].
> -
> On further examination, turns out that this is due to the
> [{{_PubSubReadEvaluator._subscription_cache}}|https://github.com/apache/beam/blob/27bb5bc7b244809e7f6022adb2730d10204ce4d3/sdks/python/apache_beam/runners/direct/transform_evaluator.py#L418]
> class attribute keeping references to all {{ReadFromPubSub}} transforms.
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[jira] [Work logged] (BEAM-7750) Pipeline instances are not garbage collected
[
https://issues.apache.org/jira/browse/BEAM-7750?focusedWorklogId=282345=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-282345
]
ASF GitHub Bot logged work on BEAM-7750:
Author: ASF GitHub Bot
Created on: 24/Jul/19 23:01
Start Date: 24/Jul/19 23:01
Worklog Time Spent: 10m
Work Description: ostrokach commented on issue #9146: [BEAM-7750] Don't
map transforms to PubSub subscriptions unless necessary
URL: https://github.com/apache/beam/pull/9146#issuecomment-514801155
retest this please
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Issue Time Tracking
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Worklog Id: (was: 282345)
Time Spent: 1h 50m (was: 1h 40m)
> Pipeline instances are not garbage collected
>
>
> Key: BEAM-7750
> URL: https://issues.apache.org/jira/browse/BEAM-7750
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
>Affects Versions: 2.14.0
> Environment: OS: Debian rodete.
> Tested using:
> Beam versions: 2.13.0, 2.15.0.dev
> Python versions: Python 2.7, Python 3.7.
> Runners: DirectRunner, DataflowRunner.
>Reporter: Alexey Strokach
>Priority: Minor
> Time Spent: 1h 50m
> Remaining Estimate: 0h
>
> It seems that Apache Beam's Pipeline instances are not garbage collected,
> even if the pipelines are finished or cancelled and there are no references
> to those pipelines in the Python interpreter.
> For pipelines executed in a script, this is not a problem. However, for
> interactive pipelines executed inside a Jupyter notebook, this limits how
> well we can track and remove the dependencies of those pipelines. For
> example, if a pipeline reads from some cache, it would be nice to be able to
> delete that cache once there are no references to it from pipelines or the
> global namespace.
> The issue can be reproduced using the following script:
> [https://gist.github.com/ostrokach/a16556dc77c96b87fe23c2fbd8fb6346].
> -
> On further examination, turns out that this is due to the
> [{{_PubSubReadEvaluator._subscription_cache}}|https://github.com/apache/beam/blob/27bb5bc7b244809e7f6022adb2730d10204ce4d3/sdks/python/apache_beam/runners/direct/transform_evaluator.py#L418]
> class attribute keeping references to all {{ReadFromPubSub}} transforms.
--
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[jira] [Work logged] (BEAM-7750) Pipeline instances are not garbage collected
[
https://issues.apache.org/jira/browse/BEAM-7750?focusedWorklogId=282346=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-282346
]
ASF GitHub Bot logged work on BEAM-7750:
Author: ASF GitHub Bot
Created on: 24/Jul/19 23:01
Start Date: 24/Jul/19 23:01
Worklog Time Spent: 10m
Work Description: ostrokach commented on issue #9146: [BEAM-7750] Don't
map transforms to PubSub subscriptions unless necessary
URL: https://github.com/apache/beam/pull/9146#issuecomment-514818679
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Issue Time Tracking
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Worklog Id: (was: 282346)
Time Spent: 2h (was: 1h 50m)
> Pipeline instances are not garbage collected
>
>
> Key: BEAM-7750
> URL: https://issues.apache.org/jira/browse/BEAM-7750
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
>Affects Versions: 2.14.0
> Environment: OS: Debian rodete.
> Tested using:
> Beam versions: 2.13.0, 2.15.0.dev
> Python versions: Python 2.7, Python 3.7.
> Runners: DirectRunner, DataflowRunner.
>Reporter: Alexey Strokach
>Priority: Minor
> Time Spent: 2h
> Remaining Estimate: 0h
>
> It seems that Apache Beam's Pipeline instances are not garbage collected,
> even if the pipelines are finished or cancelled and there are no references
> to those pipelines in the Python interpreter.
> For pipelines executed in a script, this is not a problem. However, for
> interactive pipelines executed inside a Jupyter notebook, this limits how
> well we can track and remove the dependencies of those pipelines. For
> example, if a pipeline reads from some cache, it would be nice to be able to
> delete that cache once there are no references to it from pipelines or the
> global namespace.
> The issue can be reproduced using the following script:
> [https://gist.github.com/ostrokach/a16556dc77c96b87fe23c2fbd8fb6346].
> -
> On further examination, turns out that this is due to the
> [{{_PubSubReadEvaluator._subscription_cache}}|https://github.com/apache/beam/blob/27bb5bc7b244809e7f6022adb2730d10204ce4d3/sdks/python/apache_beam/runners/direct/transform_evaluator.py#L418]
> class attribute keeping references to all {{ReadFromPubSub}} transforms.
--
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[jira] [Work logged] (BEAM-7750) Pipeline instances are not garbage collected
[
https://issues.apache.org/jira/browse/BEAM-7750?focusedWorklogId=282320=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-282320
]
ASF GitHub Bot logged work on BEAM-7750:
Author: ASF GitHub Bot
Created on: 24/Jul/19 22:11
Start Date: 24/Jul/19 22:11
Worklog Time Spent: 10m
Work Description: ostrokach commented on issue #9146: [BEAM-7750] Don't
map transforms to PubSub subscriptions unless necessary
URL: https://github.com/apache/beam/pull/9146#issuecomment-514818679
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Issue Time Tracking
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Worklog Id: (was: 282320)
Time Spent: 1h 40m (was: 1.5h)
> Pipeline instances are not garbage collected
>
>
> Key: BEAM-7750
> URL: https://issues.apache.org/jira/browse/BEAM-7750
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
>Affects Versions: 2.14.0
> Environment: OS: Debian rodete.
> Tested using:
> Beam versions: 2.13.0, 2.15.0.dev
> Python versions: Python 2.7, Python 3.7.
> Runners: DirectRunner, DataflowRunner.
>Reporter: Alexey Strokach
>Priority: Minor
> Time Spent: 1h 40m
> Remaining Estimate: 0h
>
> It seems that Apache Beam's Pipeline instances are not garbage collected,
> even if the pipelines are finished or cancelled and there are no references
> to those pipelines in the Python interpreter.
> For pipelines executed in a script, this is not a problem. However, for
> interactive pipelines executed inside a Jupyter notebook, this limits how
> well we can track and remove the dependencies of those pipelines. For
> example, if a pipeline reads from some cache, it would be nice to be able to
> delete that cache once there are no references to it from pipelines or the
> global namespace.
> The issue can be reproduced using the following script:
> [https://gist.github.com/ostrokach/a16556dc77c96b87fe23c2fbd8fb6346].
> -
> On further examination, turns out that this is due to the
> [{{_PubSubReadEvaluator._subscription_cache}}|https://github.com/apache/beam/blob/27bb5bc7b244809e7f6022adb2730d10204ce4d3/sdks/python/apache_beam/runners/direct/transform_evaluator.py#L418]
> class attribute keeping references to all {{ReadFromPubSub}} transforms.
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[jira] [Work logged] (BEAM-7750) Pipeline instances are not garbage collected
[
https://issues.apache.org/jira/browse/BEAM-7750?focusedWorklogId=282283=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-282283
]
ASF GitHub Bot logged work on BEAM-7750:
Author: ASF GitHub Bot
Created on: 24/Jul/19 21:09
Start Date: 24/Jul/19 21:09
Worklog Time Spent: 10m
Work Description: ostrokach commented on issue #9146: [BEAM-7750] Don't
map transforms to PubSub subscriptions unless necessary
URL: https://github.com/apache/beam/pull/9146#issuecomment-514791504
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Issue Time Tracking
---
Worklog Id: (was: 282283)
Time Spent: 1h (was: 50m)
> Pipeline instances are not garbage collected
>
>
> Key: BEAM-7750
> URL: https://issues.apache.org/jira/browse/BEAM-7750
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
>Affects Versions: 2.14.0
> Environment: OS: Debian rodete.
> Tested using:
> Beam versions: 2.13.0, 2.15.0.dev
> Python versions: Python 2.7, Python 3.7.
> Runners: DirectRunner, DataflowRunner.
>Reporter: Alexey Strokach
>Priority: Minor
> Time Spent: 1h
> Remaining Estimate: 0h
>
> It seems that Apache Beam's Pipeline instances are not garbage collected,
> even if the pipelines are finished or cancelled and there are no references
> to those pipelines in the Python interpreter.
> For pipelines executed in a script, this is not a problem. However, for
> interactive pipelines executed inside a Jupyter notebook, this limits how
> well we can track and remove the dependencies of those pipelines. For
> example, if a pipeline reads from some cache, it would be nice to be able to
> delete that cache once there are no references to it from pipelines or the
> global namespace.
> The issue can be reproduced using the following script:
> [https://gist.github.com/ostrokach/a16556dc77c96b87fe23c2fbd8fb6346].
> -
> On further examination, turns out that this is due to the
> [{{_PubSubReadEvaluator._subscription_cache}}|https://github.com/apache/beam/blob/27bb5bc7b244809e7f6022adb2730d10204ce4d3/sdks/python/apache_beam/runners/direct/transform_evaluator.py#L418]
> class attribute keeping references to all {{ReadFromPubSub}} transforms.
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[jira] [Work logged] (BEAM-7750) Pipeline instances are not garbage collected
[
https://issues.apache.org/jira/browse/BEAM-7750?focusedWorklogId=282285=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-282285
]
ASF GitHub Bot logged work on BEAM-7750:
Author: ASF GitHub Bot
Created on: 24/Jul/19 21:09
Start Date: 24/Jul/19 21:09
Worklog Time Spent: 10m
Work Description: ostrokach commented on issue #9146: [BEAM-7750] Don't
map transforms to PubSub subscriptions unless necessary
URL: https://github.com/apache/beam/pull/9146#issuecomment-514790850
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Issue Time Tracking
---
Worklog Id: (was: 282285)
Time Spent: 1h 20m (was: 1h 10m)
> Pipeline instances are not garbage collected
>
>
> Key: BEAM-7750
> URL: https://issues.apache.org/jira/browse/BEAM-7750
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
>Affects Versions: 2.14.0
> Environment: OS: Debian rodete.
> Tested using:
> Beam versions: 2.13.0, 2.15.0.dev
> Python versions: Python 2.7, Python 3.7.
> Runners: DirectRunner, DataflowRunner.
>Reporter: Alexey Strokach
>Priority: Minor
> Time Spent: 1h 20m
> Remaining Estimate: 0h
>
> It seems that Apache Beam's Pipeline instances are not garbage collected,
> even if the pipelines are finished or cancelled and there are no references
> to those pipelines in the Python interpreter.
> For pipelines executed in a script, this is not a problem. However, for
> interactive pipelines executed inside a Jupyter notebook, this limits how
> well we can track and remove the dependencies of those pipelines. For
> example, if a pipeline reads from some cache, it would be nice to be able to
> delete that cache once there are no references to it from pipelines or the
> global namespace.
> The issue can be reproduced using the following script:
> [https://gist.github.com/ostrokach/a16556dc77c96b87fe23c2fbd8fb6346].
> -
> On further examination, turns out that this is due to the
> [{{_PubSubReadEvaluator._subscription_cache}}|https://github.com/apache/beam/blob/27bb5bc7b244809e7f6022adb2730d10204ce4d3/sdks/python/apache_beam/runners/direct/transform_evaluator.py#L418]
> class attribute keeping references to all {{ReadFromPubSub}} transforms.
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[jira] [Work logged] (BEAM-7750) Pipeline instances are not garbage collected
[
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]
ASF GitHub Bot logged work on BEAM-7750:
Author: ASF GitHub Bot
Created on: 24/Jul/19 21:09
Start Date: 24/Jul/19 21:09
Worklog Time Spent: 10m
Work Description: ostrokach commented on issue #9146: [BEAM-7750] Don't
map transforms to PubSub subscriptions unless necessary
URL: https://github.com/apache/beam/pull/9146#issuecomment-514791040
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Issue Time Tracking
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Worklog Id: (was: 282284)
Time Spent: 1h 10m (was: 1h)
> Pipeline instances are not garbage collected
>
>
> Key: BEAM-7750
> URL: https://issues.apache.org/jira/browse/BEAM-7750
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
>Affects Versions: 2.14.0
> Environment: OS: Debian rodete.
> Tested using:
> Beam versions: 2.13.0, 2.15.0.dev
> Python versions: Python 2.7, Python 3.7.
> Runners: DirectRunner, DataflowRunner.
>Reporter: Alexey Strokach
>Priority: Minor
> Time Spent: 1h 10m
> Remaining Estimate: 0h
>
> It seems that Apache Beam's Pipeline instances are not garbage collected,
> even if the pipelines are finished or cancelled and there are no references
> to those pipelines in the Python interpreter.
> For pipelines executed in a script, this is not a problem. However, for
> interactive pipelines executed inside a Jupyter notebook, this limits how
> well we can track and remove the dependencies of those pipelines. For
> example, if a pipeline reads from some cache, it would be nice to be able to
> delete that cache once there are no references to it from pipelines or the
> global namespace.
> The issue can be reproduced using the following script:
> [https://gist.github.com/ostrokach/a16556dc77c96b87fe23c2fbd8fb6346].
> -
> On further examination, turns out that this is due to the
> [{{_PubSubReadEvaluator._subscription_cache}}|https://github.com/apache/beam/blob/27bb5bc7b244809e7f6022adb2730d10204ce4d3/sdks/python/apache_beam/runners/direct/transform_evaluator.py#L418]
> class attribute keeping references to all {{ReadFromPubSub}} transforms.
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[jira] [Work logged] (BEAM-7750) Pipeline instances are not garbage collected
[
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]
ASF GitHub Bot logged work on BEAM-7750:
Author: ASF GitHub Bot
Created on: 24/Jul/19 21:09
Start Date: 24/Jul/19 21:09
Worklog Time Spent: 10m
Work Description: ostrokach commented on issue #9146: [BEAM-7750] Don't
map transforms to PubSub subscriptions unless necessary
URL: https://github.com/apache/beam/pull/9146#issuecomment-514801155
retest this please
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Issue Time Tracking
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Worklog Id: (was: 282282)
Time Spent: 50m (was: 40m)
> Pipeline instances are not garbage collected
>
>
> Key: BEAM-7750
> URL: https://issues.apache.org/jira/browse/BEAM-7750
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
>Affects Versions: 2.14.0
> Environment: OS: Debian rodete.
> Tested using:
> Beam versions: 2.13.0, 2.15.0.dev
> Python versions: Python 2.7, Python 3.7.
> Runners: DirectRunner, DataflowRunner.
>Reporter: Alexey Strokach
>Priority: Minor
> Time Spent: 50m
> Remaining Estimate: 0h
>
> It seems that Apache Beam's Pipeline instances are not garbage collected,
> even if the pipelines are finished or cancelled and there are no references
> to those pipelines in the Python interpreter.
> For pipelines executed in a script, this is not a problem. However, for
> interactive pipelines executed inside a Jupyter notebook, this limits how
> well we can track and remove the dependencies of those pipelines. For
> example, if a pipeline reads from some cache, it would be nice to be able to
> delete that cache once there are no references to it from pipelines or the
> global namespace.
> The issue can be reproduced using the following script:
> [https://gist.github.com/ostrokach/a16556dc77c96b87fe23c2fbd8fb6346].
> -
> On further examination, turns out that this is due to the
> [{{_PubSubReadEvaluator._subscription_cache}}|https://github.com/apache/beam/blob/27bb5bc7b244809e7f6022adb2730d10204ce4d3/sdks/python/apache_beam/runners/direct/transform_evaluator.py#L418]
> class attribute keeping references to all {{ReadFromPubSub}} transforms.
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[jira] [Work logged] (BEAM-7750) Pipeline instances are not garbage collected
[
https://issues.apache.org/jira/browse/BEAM-7750?focusedWorklogId=282286=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-282286
]
ASF GitHub Bot logged work on BEAM-7750:
Author: ASF GitHub Bot
Created on: 24/Jul/19 21:09
Start Date: 24/Jul/19 21:09
Worklog Time Spent: 10m
Work Description: ostrokach commented on issue #9146: [BEAM-7750] Don't
map transforms to PubSub subscriptions unless necessary
URL: https://github.com/apache/beam/pull/9146#issuecomment-514790796
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Issue Time Tracking
---
Worklog Id: (was: 282286)
Time Spent: 1.5h (was: 1h 20m)
> Pipeline instances are not garbage collected
>
>
> Key: BEAM-7750
> URL: https://issues.apache.org/jira/browse/BEAM-7750
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
>Affects Versions: 2.14.0
> Environment: OS: Debian rodete.
> Tested using:
> Beam versions: 2.13.0, 2.15.0.dev
> Python versions: Python 2.7, Python 3.7.
> Runners: DirectRunner, DataflowRunner.
>Reporter: Alexey Strokach
>Priority: Minor
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> It seems that Apache Beam's Pipeline instances are not garbage collected,
> even if the pipelines are finished or cancelled and there are no references
> to those pipelines in the Python interpreter.
> For pipelines executed in a script, this is not a problem. However, for
> interactive pipelines executed inside a Jupyter notebook, this limits how
> well we can track and remove the dependencies of those pipelines. For
> example, if a pipeline reads from some cache, it would be nice to be able to
> delete that cache once there are no references to it from pipelines or the
> global namespace.
> The issue can be reproduced using the following script:
> [https://gist.github.com/ostrokach/a16556dc77c96b87fe23c2fbd8fb6346].
> -
> On further examination, turns out that this is due to the
> [{{_PubSubReadEvaluator._subscription_cache}}|https://github.com/apache/beam/blob/27bb5bc7b244809e7f6022adb2730d10204ce4d3/sdks/python/apache_beam/runners/direct/transform_evaluator.py#L418]
> class attribute keeping references to all {{ReadFromPubSub}} transforms.
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[jira] [Work logged] (BEAM-7750) Pipeline instances are not garbage collected
[
https://issues.apache.org/jira/browse/BEAM-7750?focusedWorklogId=282270=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-282270
]
ASF GitHub Bot logged work on BEAM-7750:
Author: ASF GitHub Bot
Created on: 24/Jul/19 20:40
Start Date: 24/Jul/19 20:40
Worklog Time Spent: 10m
Work Description: ostrokach commented on issue #9146: [BEAM-7750] Don't
map transforms to PubSub subscriptions unless necessary
URL: https://github.com/apache/beam/pull/9146#issuecomment-514791504
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Issue Time Tracking
---
Worklog Id: (was: 282270)
Time Spent: 40m (was: 0.5h)
> Pipeline instances are not garbage collected
>
>
> Key: BEAM-7750
> URL: https://issues.apache.org/jira/browse/BEAM-7750
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
>Affects Versions: 2.14.0
> Environment: OS: Debian rodete.
> Tested using:
> Beam versions: 2.13.0, 2.15.0.dev
> Python versions: Python 2.7, Python 3.7.
> Runners: DirectRunner, DataflowRunner.
>Reporter: Alexey Strokach
>Priority: Minor
> Time Spent: 40m
> Remaining Estimate: 0h
>
> It seems that Apache Beam's Pipeline instances are not garbage collected,
> even if the pipelines are finished or cancelled and there are no references
> to those pipelines in the Python interpreter.
> For pipelines executed in a script, this is not a problem. However, for
> interactive pipelines executed inside a Jupyter notebook, this limits how
> well we can track and remove the dependencies of those pipelines. For
> example, if a pipeline reads from some cache, it would be nice to be able to
> delete that cache once there are no references to it from pipelines or the
> global namespace.
> The issue can be reproduced using the following script:
> [https://gist.github.com/ostrokach/a16556dc77c96b87fe23c2fbd8fb6346].
> -
> On further examination, turns out that this is due to the
> [{{_PubSubReadEvaluator._subscription_cache}}|https://github.com/apache/beam/blob/27bb5bc7b244809e7f6022adb2730d10204ce4d3/sdks/python/apache_beam/runners/direct/transform_evaluator.py#L418]
> class attribute keeping references to all {{ReadFromPubSub}} transforms.
--
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[jira] [Work logged] (BEAM-7750) Pipeline instances are not garbage collected
[
https://issues.apache.org/jira/browse/BEAM-7750?focusedWorklogId=282269=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-282269
]
ASF GitHub Bot logged work on BEAM-7750:
Author: ASF GitHub Bot
Created on: 24/Jul/19 20:39
Start Date: 24/Jul/19 20:39
Worklog Time Spent: 10m
Work Description: ostrokach commented on issue #9146: [BEAM-7750] Don't
map transforms to PubSub subscriptions unless necessary
URL: https://github.com/apache/beam/pull/9146#issuecomment-514791040
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Issue Time Tracking
---
Worklog Id: (was: 282269)
Time Spent: 0.5h (was: 20m)
> Pipeline instances are not garbage collected
>
>
> Key: BEAM-7750
> URL: https://issues.apache.org/jira/browse/BEAM-7750
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
>Affects Versions: 2.14.0
> Environment: OS: Debian rodete.
> Tested using:
> Beam versions: 2.13.0, 2.15.0.dev
> Python versions: Python 2.7, Python 3.7.
> Runners: DirectRunner, DataflowRunner.
>Reporter: Alexey Strokach
>Priority: Minor
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> It seems that Apache Beam's Pipeline instances are not garbage collected,
> even if the pipelines are finished or cancelled and there are no references
> to those pipelines in the Python interpreter.
> For pipelines executed in a script, this is not a problem. However, for
> interactive pipelines executed inside a Jupyter notebook, this limits how
> well we can track and remove the dependencies of those pipelines. For
> example, if a pipeline reads from some cache, it would be nice to be able to
> delete that cache once there are no references to it from pipelines or the
> global namespace.
> The issue can be reproduced using the following script:
> [https://gist.github.com/ostrokach/a16556dc77c96b87fe23c2fbd8fb6346].
> -
> On further examination, turns out that this is due to the
> [{{_PubSubReadEvaluator._subscription_cache}}|https://github.com/apache/beam/blob/27bb5bc7b244809e7f6022adb2730d10204ce4d3/sdks/python/apache_beam/runners/direct/transform_evaluator.py#L418]
> class attribute keeping references to all {{ReadFromPubSub}} transforms.
--
This message was sent by Atlassian JIRA
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[jira] [Work logged] (BEAM-7750) Pipeline instances are not garbage collected
[
https://issues.apache.org/jira/browse/BEAM-7750?focusedWorklogId=282267=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-282267
]
ASF GitHub Bot logged work on BEAM-7750:
Author: ASF GitHub Bot
Created on: 24/Jul/19 20:38
Start Date: 24/Jul/19 20:38
Worklog Time Spent: 10m
Work Description: ostrokach commented on issue #9146: [BEAM-7750] Don't
map transforms to PubSub subscriptions unless necessary
URL: https://github.com/apache/beam/pull/9146#issuecomment-514790796
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Issue Time Tracking
---
Worklog Id: (was: 282267)
Time Spent: 10m
Remaining Estimate: 0h
> Pipeline instances are not garbage collected
>
>
> Key: BEAM-7750
> URL: https://issues.apache.org/jira/browse/BEAM-7750
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
>Affects Versions: 2.14.0
> Environment: OS: Debian rodete.
> Tested using:
> Beam versions: 2.13.0, 2.15.0.dev
> Python versions: Python 2.7, Python 3.7.
> Runners: DirectRunner, DataflowRunner.
>Reporter: Alexey Strokach
>Priority: Minor
> Time Spent: 10m
> Remaining Estimate: 0h
>
> It seems that Apache Beam's Pipeline instances are not garbage collected,
> even if the pipelines are finished or cancelled and there are no references
> to those pipelines in the Python interpreter.
> For pipelines executed in a script, this is not a problem. However, for
> interactive pipelines executed inside a Jupyter notebook, this limits how
> well we can track and remove the dependencies of those pipelines. For
> example, if a pipeline reads from some cache, it would be nice to be able to
> delete that cache once there are no references to it from pipelines or the
> global namespace.
> The issue can be reproduced using the following script:
> [https://gist.github.com/ostrokach/a16556dc77c96b87fe23c2fbd8fb6346].
> -
> On further examination, turns out that this is due to the
> [{{_PubSubReadEvaluator._subscription_cache}}|https://github.com/apache/beam/blob/27bb5bc7b244809e7f6022adb2730d10204ce4d3/sdks/python/apache_beam/runners/direct/transform_evaluator.py#L418]
> class attribute keeping references to all {{ReadFromPubSub}} transforms.
--
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[jira] [Work logged] (BEAM-7750) Pipeline instances are not garbage collected
[
https://issues.apache.org/jira/browse/BEAM-7750?focusedWorklogId=282268=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-282268
]
ASF GitHub Bot logged work on BEAM-7750:
Author: ASF GitHub Bot
Created on: 24/Jul/19 20:38
Start Date: 24/Jul/19 20:38
Worklog Time Spent: 10m
Work Description: ostrokach commented on issue #9146: [BEAM-7750] Don't
map transforms to PubSub subscriptions unless necessary
URL: https://github.com/apache/beam/pull/9146#issuecomment-514790850
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Issue Time Tracking
---
Worklog Id: (was: 282268)
Time Spent: 20m (was: 10m)
> Pipeline instances are not garbage collected
>
>
> Key: BEAM-7750
> URL: https://issues.apache.org/jira/browse/BEAM-7750
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
>Affects Versions: 2.14.0
> Environment: OS: Debian rodete.
> Tested using:
> Beam versions: 2.13.0, 2.15.0.dev
> Python versions: Python 2.7, Python 3.7.
> Runners: DirectRunner, DataflowRunner.
>Reporter: Alexey Strokach
>Priority: Minor
> Time Spent: 20m
> Remaining Estimate: 0h
>
> It seems that Apache Beam's Pipeline instances are not garbage collected,
> even if the pipelines are finished or cancelled and there are no references
> to those pipelines in the Python interpreter.
> For pipelines executed in a script, this is not a problem. However, for
> interactive pipelines executed inside a Jupyter notebook, this limits how
> well we can track and remove the dependencies of those pipelines. For
> example, if a pipeline reads from some cache, it would be nice to be able to
> delete that cache once there are no references to it from pipelines or the
> global namespace.
> The issue can be reproduced using the following script:
> [https://gist.github.com/ostrokach/a16556dc77c96b87fe23c2fbd8fb6346].
> -
> On further examination, turns out that this is due to the
> [{{_PubSubReadEvaluator._subscription_cache}}|https://github.com/apache/beam/blob/27bb5bc7b244809e7f6022adb2730d10204ce4d3/sdks/python/apache_beam/runners/direct/transform_evaluator.py#L418]
> class attribute keeping references to all {{ReadFromPubSub}} transforms.
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