I think this is mostly a dbt question but when I run

elt tap-mytap target-mytarget --transform only

I see the following where I would expect my models to be run

dbt     | Running with dbt=0.16.1
dbt     | Found 18 models, 0 tests, 0 snapshots, 0 analyses, 149 macros, 0 operations, 0 seed files, 0 sources
dbt     | WARNING: Nothing to do. Try checking your model configs and model specification args
meltano | INFO Transformation complete!

I see in most of the pre-built dbt packages that there is a

base/

and

transform/

directory under

models/

(e.g. https://gitlab.com/meltano/dbt-tap-stripe/-/tree/master/models). The custom package I created only has one set of models directly under

/models

and they don't reference one another (using

ref()

) although they do have the tables they select from hardcoded within them. I'm new to dbt so I'm wondering if this is related to the fact that I'm not 'transforming' from any 'base' models but I don't understand why this would be necessary.

@tyler_kahn Base models aren't necessary, any models should work. Are you storing your own models in

transform/models

or in a separate package referenced from

transform/pckages.yml

and/or

meltano.yml

?

Thanks that led me to the issue. The solution was just to move the models directly into the

transform/

directory. Is there a way to specify the specific transforms that should be run with a pipeline? Right now it seems to be tied to the extractor

@tyler_kahn See https://meltano.slack.com/archives/CFG3C3C66/p1605545193349100?thread_ts=1605488328.347700&cid=CFG3C3C66 🙂