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jtcohen6 avatar jtcohen6 commented on June 25, 2024 1

Sorry for the serious delay in responding here, @davehowell. This is something I've wanted to do for some time (#52). The potential time (+ cost) savings on Snowflake are immense. I think the required pieces are extensive enough that it could (+ should) be part of a larger refactor.

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jtcohen6 avatar jtcohen6 commented on June 25, 2024 1

I created a few override snowplow models in the main dbt project in order to bypass some of this, as well as adding those flattened out fields into some of the special "include" fields that are available as vars.

Honestly, this is what I've done every time I use Snowflake + Snowplow together. It would obviously be better if the package could "just work" on Snowflake in the way we know to be best.

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davehowell avatar davehowell commented on June 25, 2024

Unfortunately I have moved on from the previous project and don't have access to Snowplow data to look at this again, but I recall that I created a few override snowplow models in the main dbt project in order to bypass some of this, as well as adding those flattened out fields into some of the special "include" fields that are available as vars.

If you don't think it's too much to bite off at one time then sure include it as part of your larger refactor. I have to say the Snowplow models are pretty complicated, a lot to get your head around, and this particular issue is very Snowflake specific so might be easier to do ( and more importantly for the reviewer!) separately. If not then I guess this can be closed.

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