Hello, I'm trying to run a specific step of a pipeline using

execute_pipeline

with

step_keys_to_execute

defined in the

RunConfig

however, I'm running into this error:

dagster.core.errors.DagsterStepOutputNotFoundError: When executing transform.compute discovered required outputs missing from previous step: [StepOutputHandle(step_key='load.copy_django_logs_to_redshift.compute', output_name='result')]

I thought maybe I could fix it by passing in

rexecution_config

to RunConfig, but when I do I get this error:

TypeError: __new__() got an unexpected keyword argument 'rexecution_config'

Could someone give me pointers on how to run a specific pipeline step that depends on previous steps? Thanks so much really appreciate all the help.

can you provide some context on your overall goal? You may find

execute_solid

to be appropriate if you are trying to test a single solid

I’d like to be able to test a single solid in my pipeline, assuming the previous solid have already completed successfully, but without having to rerun the previous steps each time

ah ok

So I see that function within PipelineDefinition, but how do I pass in environment configs, mode etc in the same way I can with execute_pipeline?

you will end up with

execute_pipeline(pipeline.build_sub_pipeline([solid_name]), ...)

- which assumes the mode you need is already on the full pipeline

Ahh I see

Ok I was able to get that to work, thanks

sorry for the run around with the

step_keys_to_execute

business

No worries!

ya this is also problematic when using this subsetting feature via dagit

Cool—I'll keep my eye on this ticket.