Metrics Deduplication

[nicolastakashi]

Component(s)

processor/metricstransform

Is your feature request related to a problem? Please describe.

Previously, I created an issue (#20921) proposing a new component to deduplicate metrics before they are remotely written to a data store.

During today’s Collector SIG Meeting on 17/07/2024, I presented a proof of concept (POC) I built over the last few days, which is available at this link: https://github.com/nicolastakashi/metricsdedupprocessor. We discussed whether this functionality should be implemented as a new component or as an additional feature in the metrics transform processor.

This issue is to discuss whether this should be implemented as a new component, or to have it done as part of the existing metricstransform processor component, during the meeting most of the maintainers seems to prefer if possible add a new feature to an existing component rather than a new component, and I'd like to discuss more about this strategy.

Describe the solution you'd like

Have the ability to deduplicate metrics based on DataPoints Attributes

Describe alternatives you've considered

N/A

Additional context

N/A

[github-actions]

Pinging code owners:

• processor/metricstransform: @dmitryax

See Adding Labels via Comments if you do not have permissions to add labels yourself.

[nicolastakashi]

Hey @dmitryax did you had the opportunity to check this issue?

[github-actions]

This issue has been inactive for 60 days. It will be closed in 60 days if there is no activity. To ping code owners by adding a component label, see Adding Labels via Comments, or if you are unsure of which component this issue relates to, please ping @open-telemetry/collector-contrib-triagers. If this issue is still relevant, please ping the code owners or leave a comment explaining why it is still relevant. Otherwise, please close it.

Pinging code owners:

• processor/metricstransform: @dmitryax

See Adding Labels via Comments if you do not have permissions to add labels yourself.

[nicolastakashi]

I still think it might be useful and waiting feedback, a friendly ping to @dmitryax