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https://issues.apache.org/jira/browse/BEAM-11984?focusedWorklogId=599348&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-599348
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ASF GitHub Bot logged work on BEAM-11984:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 19/May/21 17:16
Start Date: 19/May/21 17:16
Worklog Time Spent: 10m
Work Description: ajamato commented on a change in pull request #14770:
URL: https://github.com/apache/beam/pull/14770#discussion_r635437164
##########
File path: sdks/python/apache_beam/io/gcp/gcsio.py
##########
@@ -643,9 +665,23 @@ def _start_upload(self):
#
# The uploader by default transfers data in chunks of 1024 * 1024 bytes at
# a time, buffering writes until that size is reached.
+
+ # Create a request count metric
+ resource = resource_identifiers.GoogleCloudStorage(self._bucket)
+ labels = {
+ monitoring_infos.SERVICE_LABEL: 'Storage',
Review comment:
Was the project not available on the API response after the first call?
When you ran it on a pipeline were you able to see it populated on the API
responses with logging?
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Issue Time Tracking
-------------------
Worklog Id: (was: 599348)
Time Spent: 3h 50m (was: 3h 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: 3h 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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