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https://issues.apache.org/jira/browse/BEAM-11984?focusedWorklogId=594124&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-594124
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ASF GitHub Bot logged work on BEAM-11984:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 10/May/21 17:19
Start Date: 10/May/21 17:19
Worklog Time Spent: 10m
Work Description: roger-mike commented on a change in pull request #14770:
URL: https://github.com/apache/beam/pull/14770#discussion_r629536088
##########
File path: sdks/python/apache_beam/io/gcp/gcsio.py
##########
@@ -586,7 +589,25 @@ def __init__(self, client, path, buffer_size):
auto_transfer=False,
chunksize=self._buffer_size,
num_retries=20)
- self._client.objects.Get(self._get_request, download=self._downloader)
+
+ # Create a request count metric
+ resource = resource_identifiers.GoogleCloudStorage(self._bucket)
+ labels = {
Review comment:
The `GCS_PROJECT_ID` is still missing in the labels. How can I get the
`project` at this point?
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Issue Time Tracking
-------------------
Worklog Id: (was: 594124)
Time Spent: 20m (was: 10m)
> 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: 20m
> 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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