[
https://issues.apache.org/jira/browse/BEAM-10602?focusedWorklogId=469327&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-469327
]
ASF GitHub Bot logged work on BEAM-10602:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 11/Aug/20 17:25
Start Date: 11/Aug/20 17:25
Worklog Time Spent: 10m
Work Description: tysonjh commented on pull request #12499:
URL: https://github.com/apache/beam/pull/12499#issuecomment-672113428
> @tysonjh You should be able to run this locally with the backup data which
is automatically retrieved from the GCS bucket when you run `docker-compose
up`. Basically, the changes here will restore the old behavior + add a
latency/checkpoint panel + combine the Flink ParDo results with the ones from
Dataflow/Spark in one panel.
Got it, thanks. I had to add some extra steps to the wiki for setting up the
InfluxDB Data Source and now have graphs showing up. Please let me know when
the comments are resolved so I can take another look.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
Issue Time Tracking
-------------------
Worklog Id: (was: 469327)
Time Spent: 6h (was: 5h 50m)
> Display Python streaming metrics in Grafana dashboard
> -----------------------------------------------------
>
> Key: BEAM-10602
> URL: https://issues.apache.org/jira/browse/BEAM-10602
> Project: Beam
> Issue Type: Task
> Components: build-system, testing
> Reporter: Maximilian Michels
> Assignee: Maximilian Michels
> Priority: P2
> Attachments: screenshot-1.png
>
> Time Spent: 6h
> Remaining Estimate: 0h
>
> The Grafana dashboard is currently missing Python load test metrics:
> http://metrics.beam.apache.org/d/MOi-kf3Zk/pardo-load-tests?orgId=1&var-processingType=streaming&var-sdk=python
> !screenshot-1.png!
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
