Comments (6)
Hey @jpau , we will be generating view
files a structure everything under a model
. There is a similar project here as well:
https://github.com/lightdash/dbt2looker (See https://github.com/lightdash/dbt2looker/blob/main/example/lookml/hubble_analytics.model)
For the LookML specific attributes, you will be able to configure the fields as follows:
columns:
- name: col
meta:
metriql.dimension:
report:
looker:
type: distance
The report.looker
spec will be identical to LookML dimension: https://docs.looker.com/reference/field-reference/dimension-type-reference
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I've put up a pull request to add @UmarMajeed-Rana!
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Thanks Emre! This would be great.
I wonder what the development workflow would look like. For example -- would the CLI generate view
files only, or might it stub model
files too? And after the initial creation, on further iterations, would the CLI track the LookML-specific parts that get updated? Or might the onus be on the user -- at least at the start -- to track those manually?
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@UmarMajeed-Rana is working on this integration, thanks Umar!
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@all-contributors please add @UmarMajeed-Rana for code, platform.
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It's implemented, please see: https://metriql.com/integrations/bi-tools/looker
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