A complete solution for open data platforms, enterprise data catalogs, data lakes and data management. Open source, mature, fully-featured and production ready.

DataHub

Hey Team, I am wondering how do we model the relationship between `Looker View A` and `Looker View B` if `View B` includes `View A` ?

Hi <@UV0M2EB8Q>! Xu joined us in office hours today with this one - hoping you can help out :slightly_smiling_face:

<@UV0M2EB8Q> could you help to have a look at this?

<@U02UQA8VCLD>: can you see the samples here? <https://github.com/linkedin/datahub/tree/master/metadata-ingestion/tests/integration/lookml/lkml_samples>

are there examples of View B including View A here?

<@UV0M2EB8Q> thanks for replying!! Maybe I did not use the correct word.

<@U02Q4HJFEMB> could you help clarify a little?

Kartik pointed out that what I mean should be <https://docs.looker.com/data-modeling/learning-lookml/refinements|"LookML refinements">

:wave::skin-tone-4:  Injecting myself into this thread

Xu and I work together :slightly_smiling_face:

There's a feature called <https://docs.looker.com/data-modeling/learning-lookml/refinements|"refinement">, that is not a part of the existing examples that I see. The difference is that an extension creates a copy of an existing view with modifications. Where as a refinement updates the original View

Another feature that I imagine a lot of Looker folks would find interesting is extending explores, which I also don't see modeled in the model file:

<https://github.com/linkedin/datahub/blob/master/metadata-ingestion/tests/integration/lookml/lkml_samples/data.model.lkml>

got it.. so the question is : what does DataHub do when Looker view refinements are involved?

what does the ingestion pipeline do when view refinements are involved

I would have to check, don't know the answer OTOH