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https://issues.apache.org/jira/browse/BEAM-11018?focusedWorklogId=500310&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-500310
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ASF GitHub Bot logged work on BEAM-11018:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 13/Oct/20 22:02
Start Date: 13/Oct/20 22:02
Worklog Time Spent: 10m
Work Description: ajamato commented on a change in pull request #13017:
URL: https://github.com/apache/beam/pull/13017#discussion_r504283933
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File path: sdks/python/apache_beam/metrics/metric.py
##########
@@ -139,6 +169,22 @@ def __init__(self, metric_name):
super(Metrics.DelegatingGauge, self).__init__(metric_name)
self.set = MetricUpdater(cells.GaugeCell, metric_name) # type:
ignore[assignment]
+ class DelegatingHistogram(Histogram):
Review comment:
Please move histogram related code into a new 'internal' file
sdks/python/apache_beam/internal/metrics/metric.py
Please move DelegatingHistogram to the new file
add a Metric class to the new file, and put the histogram definition there.
It can share the infrastructure and call things in this file.
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Issue Time Tracking
-------------------
Worklog Id: (was: 500310)
Time Spent: 3h 20m (was: 3h 10m)
> Use metric for Python BigQuery streaming insert API latency logging
> -------------------------------------------------------------------
>
> Key: BEAM-11018
> URL: https://issues.apache.org/jira/browse/BEAM-11018
> Project: Beam
> Issue Type: Improvement
> Components: io-py-gcp
> Reporter: Heejong Lee
> Assignee: Heejong Lee
> Priority: P2
> Time Spent: 3h 20m
> Remaining Estimate: 0h
>
> Use metric for Python BigQuery streaming insert API latency logging
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