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https://issues.apache.org/jira/browse/BEAM-11984?focusedWorklogId=594135&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-594135
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ASF GitHub Bot logged work on BEAM-11984:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 10/May/21 17:43
Start Date: 10/May/21 17:43
Worklog Time Spent: 10m
Work Description: roger-mike commented on pull request #14770:
URL: https://github.com/apache/beam/pull/14770#issuecomment-837030825
In the [implementation
guide](https://docs.google.com/document/d/1lrz2wE5Dl4zlUfPAenjXIQyleZvqevqoxhyE85aj4sc/edit#)
a reference is made to the
[GcsUtil.java.getObject()](https://github.com/apache/beam/blob/3bb232fb098700de408f574585dfe74bbaff7230/sdks/java/extensions/google-cloud-platform-core/src/main/java/org/apache/beam/sdk/extensions/gcp/util/GcsUtil.java#L286).
However, I'm not sure if the metrics should be added in the python's code
equivalent or in this specific piece of code.
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Issue Time Tracking
-------------------
Worklog Id: (was: 594135)
Time Spent: 50m (was: 40m)
> Python GCS - Implement IO Request Count metrics
> -----------------------------------------------
>
> Key: BEAM-11984
> URL: https://issues.apache.org/jira/browse/BEAM-11984
> Project: Beam
> Issue Type: Test
> Components: io-py-gcp
> Reporter: Alex Amato
> Assignee: Rogelio Miguel Hernandez Sandoval
> Priority: P2
> Time Spent: 50m
> Remaining Estimate: 0h
>
> Reference PRs (See BigQuery IO example) and detailed explanation of what's
> needed to instrument this IO with Request Count metrics is found in this
> handoff doc:
> [https://docs.google.com/document/d/1lrz2wE5Dl4zlUfPAenjXIQyleZvqevqoxhyE85aj4sc/edit'|https://docs.google.com/document/d/1lrz2wE5Dl4zlUfPAenjXIQyleZvqevqoxhyE85aj4sc/edit'?authuser=0]
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