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I don't think there's a workaround we could use by defining metrics on the dimension table, because the dimension table is typically much less granular. For example I might be able to group the revenue by product, customer, date and whatnot while the dimension table that holds the currency exchange rate has a grain of country (and date) only.
The only existing workaround is to prepare the fact table by bringing in the redundant dimension column that we can then make a metric out of and use in the derived metric.
Who will this benefit?
All the users of the semantic layer, cloud and core.
Are you interested in contributing this feature?
Happy to help with any design questions and testing
Anything else?
No response
The text was updated successfully, but these errors were encountered:
Is this your first time submitting a feature request?
Describe the feature
There are common use cases where a derived metric is a mix of a simple metric and a dimension, for example:
I would like to define ratio and derived metrics that would take not only metrics, but also dimensions as input. For example:
Describe alternatives you've considered
I don't think there's a workaround we could use by defining metrics on the dimension table, because the dimension table is typically much less granular. For example I might be able to group the revenue by product, customer, date and whatnot while the dimension table that holds the currency exchange rate has a grain of country (and date) only.
The only existing workaround is to prepare the fact table by bringing in the redundant dimension column that we can then make a metric out of and use in the derived metric.
Who will this benefit?
All the users of the semantic layer, cloud and core.
Are you interested in contributing this feature?
Happy to help with any design questions and testing
Anything else?
No response
The text was updated successfully, but these errors were encountered: