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.

Sign up for GitHub

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

Jump to bottom

Recommend use of clustering columns on metricname to speed up queries #165

Open
quom opened this issue Nov 9, 2022 · 0 comments
Open

Recommend use of clustering columns on metricname to speed up queries #165

quom opened this issue Nov 9, 2022 · 0 comments

Comments

@quom
Copy link

quom commented Nov 9, 2022

Currently the documentation specifies the use of DAY timestamp partitioning on the table schema but is missing another optimisation of using bigquery clustering columns on the metricname field.

Given queries to prometheus timeseries metrics almost always specify the metric name this is a cheap win for query planning.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Milestone
No milestone
Development

No branches or pull requests
1 participant
@quom