dbt2looker
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Add support for ephemeral models
This PR fixes the dbt2looker tool such that ephemeral models do not break it (see issue #57).
It is inspired by earlier suggestions by @boludo00 and @mariana-s-fernandes , with minor modifications.
Hi @owlas - just checking whether my revisions following your review got lost in the churn?
There are three small PRs in a stack:
- https://github.com/lightdash/dbt2looker/pull/90 (this one)
- then https://github.com/lightdash/dbt2looker/pull/92 (contains the separated tag filter change)
- then https://github.com/lightdash/dbt2looker/pull/91 (separate work, but stacked on top because I couldn't develop locally without first solving these issues with ephemeral models and tag-based filtering)
No particular rush, but thought I'd check this was on your radar.
@owlas - just a gentle nudge, any chance of merging these contributions?