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https://issues.apache.org/jira/browse/BEAM-10876?focusedWorklogId=482178&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-482178
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ASF GitHub Bot logged work on BEAM-10876:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 11/Sep/20 17:09
Start Date: 11/Sep/20 17:09
Worklog Time Spent: 10m
Work Description: y1chi commented on a change in pull request #12817:
URL: https://github.com/apache/beam/pull/12817#discussion_r487177713
##########
File path: sdks/python/apache_beam/runners/dataflow/dataflow_metrics.py
##########
@@ -210,6 +210,14 @@ def _get_metric_value(self, metric):
dist_sum = _get_match(
metric.distribution.object_value.properties,
lambda x: x.key == 'sum').value.integer_value
+ if not dist_sum:
+ # distribution metric is not meant to use on large values, but in case
+ # it is, the value can overflow and become double_value, the
correctness
+ # of the value may not be guaranteed.
+ dist_sum = int(
Review comment:
done.
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Issue Time Tracking
-------------------
Worklog Id: (was: 482178)
Time Spent: 1h 40m (was: 1.5h)
> Dataflow metric query result throws TypeError when the distribution sum is
> large
> --------------------------------------------------------------------------------
>
> Key: BEAM-10876
> URL: https://issues.apache.org/jira/browse/BEAM-10876
> Project: Beam
> Issue Type: New Feature
> Components: runner-dataflow
> Reporter: Yichi Zhang
> Assignee: Yichi Zhang
> Priority: P2
> Time Spent: 1h 40m
> Remaining Estimate: 0h
>
> When the sum value is large the properties type become double_value, the
> integer_value will be None, this leads to TypeError being thrown.
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