Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Mark base-2 exponential histogram as stable #3041

Merged
merged 11 commits into from
Jan 13, 2023

Conversation

jack-berg
Copy link
Member

Resolves #2832.

@jack-berg jack-berg requested review from a team December 15, 2022 19:29
@pirgeo
Copy link
Member

pirgeo commented Dec 19, 2022

Is this pending on #3017?

@arminru arminru added spec:metrics Related to the specification/metrics directory area:data-model For issues related to data model labels Dec 19, 2022
@jack-berg
Copy link
Member Author

I think #3017 is nice to have, but not blocking since its a backwards compatible addition.

@carlosalberto
Copy link
Contributor

Circling back on Jack's last question: should the expo aggregation be a SHOULD or a MUST for each language?

cc @jsuereth @jmacd @reyang

@github-actions
Copy link

This PR was marked stale due to lack of activity. It will be closed in 7 days.

@jsuereth
Copy link
Contributor

I'm ok with SHOULD or MUST. For SDKs that need help implementing exponential histogram, happy to pitch in.

@jack-berg
Copy link
Member Author

I've changed the aggregation name to "Base2 Exponential Bucket Histogram Aggregation" per this conversation.

Note that the metric point defined in data-model.md is still named ExponentialHistogram, since the same point could be reused with a base 10 exponential histogram aggregation.

CHANGELOG.md Outdated Show resolved Hide resolved
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
area:data-model For issues related to data model spec:metrics Related to the specification/metrics directory
Projects
None yet
Development

Successfully merging this pull request may close these issues.

Stabilize exponential histograms
8 participants