Hello again! I have an orchestrator flow that calls two other flows using run_deployment. The first flow returns a pandas dataframe that is persisted to an Azure block. What would be the most efficient way to pass the first flow's result to the second flow? I was looking at this but it looks like it would require a lot of serialization/deserialization the main flow is something like this

run_deployment("transformation_1", ...) # returns a df as result that is persisted to azure storage
run_deployment("transformation_2", ...) # needs the dataframe returned by `transformation_1` as input

should I manually save the df to storage in

transformation_1

and pass the url to

transformation_2

?

Since the flows are being run in different processes you’re going to need to serialize / deserialize the data.

wouldn't be an additional deserialization/serialization when calling

state.result()

in the orchestrator flow to then pass it to the second

run_deployment

?

Ah I see what you’re saying

thanks!