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https://issues.apache.org/jira/browse/BEAM-2732?focusedWorklogId=91477&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-91477
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ASF GitHub Bot logged work on BEAM-2732:
----------------------------------------
Author: ASF GitHub Bot
Created on: 16/Apr/18 20:38
Start Date: 16/Apr/18 20:38
Worklog Time Spent: 10m
Work Description: pabloem commented on a change in pull request #4387:
[BEAM-2732] Metrics rely on statesampler state
URL: https://github.com/apache/beam/pull/4387#discussion_r181877336
##########
File path: sdks/python/apache_beam/runners/direct/direct_runner.py
##########
@@ -338,6 +337,7 @@ def run_pipeline(self, pipeline):
from apache_beam.runners.direct.transform_evaluator import \
TransformEvaluatorRegistry
from apache_beam.testing.test_stream import TestStream
+ from apache_beam.metrics.execution import MetricsEnvironment
Review comment:
That is reasonable, and I agree. I've fixed this by having a lazy import in
the metrics execution module.
Currently, we're working under the idea that state sampler is the global
context provider, so metrics rely on it. I'd think that makes it into a module
that provides a service to other modules that require/handle context
management. Though I'd agree that a more loose coupling would be quite
desirable. Let me know what you think : )
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Issue Time Tracking
-------------------
Worklog Id: (was: 91477)
Time Spent: 9h 40m (was: 9.5h)
> State tracking in Python is inefficient and has duplicated code
> ---------------------------------------------------------------
>
> Key: BEAM-2732
> URL: https://issues.apache.org/jira/browse/BEAM-2732
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core
> Reporter: Pablo Estrada
> Assignee: Pablo Estrada
> Priority: Major
> Time Spent: 9h 40m
> Remaining Estimate: 0h
>
> e.g logging and metrics keep state separately. State tracking should be
> unified.
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