aggregation over 60s creates 6 datapoints per minute

Asked by Steve Akers

I have an aggregation setup that is basically <metric>.all.count (60) = sum <metric>.*.count. While this results in the correct 1min values, graphite is displaying 6 datapoints per minute. This means I get value, null, null, null, null, null. This creates a problem when using the aggregated metric in comparison to other metrics. I have to summarize it over 1 min in order to do these calculations correctly. Is this a bug, or am I doing something wrong?

Thanks,
Steve

Question information

Language:
English Edit question
Status:
Answered
For:
Graphite Edit question
Assignee:
No assignee Edit question
Last query:
Last reply:
Revision history for this message
Steve Akers (steve-akers) said :
#1

Could this be because my retention policy for current month data is at 10s?

Revision history for this message
Michael Leinartas (mleinartas) said :
#2

Yeah, your storage-schemas must match the rate at which you're aggregating. You can either change the aggregation to (10) or adjust your storage-schemas and either remove the existing whisper files or resize them with whisper-resize.py

Can you help with this problem?

Provide an answer of your own, or ask Steve Akers for more information if necessary.

To post a message you must log in.