[ missing dimension breakdown for aggregated metrics ] Hello Elementary users! We started using Elementary quite recently and have been struggling to solve an issue with the test scaling due to pre-aggregated data in the tests. Context: • we are setting up time series models for the Elementary alerting where we -pre-aggregate values and group them by certain dimensions. Example model columns: • Platform ( dimension for device category ) • Country ( 100+ active country breakdown ) • Date • n_events ( pre-aggregated metric column ) Problem: • For each dimension anomaly test, we have to set up a separate test such as

where_expression: platform = 'web'

• this would mean up to 100 tests for a Country breakdown which is not scalable Question: • has anyone come across with similar problem before? • if yes, what was your solution? • are there any alternative solutions that can help? any suggestions/comments are welcome! Thanks in advance!

Hi @Oliver Szotyori, there is no need to create a different pre aggregated model for this usecase - you can use dimension_anomalies drop happy

hi @Ofek Weiss! thanks for the reply. Our problem is that the metrics are already pre-aggregated, therefore we are not able to use

dimension_anomalies

Oh alright then, for that we currently do not have a solution, tho we do plan to introduce one in the following months, so stay tuned... 👀

thanks @Ofek Weiss!