In Prefect 1.0... How do I run multiple instances of the same flow, based on a list of data? An example would be I've created a generic flow to go grab 1 table from a source system. I want to be able to neatly specify dozens of tables in a convenient location (config file?) and have an instance of the flow run for each of the tables. Do I need to create a 'master' flow that loops through and runs a bunch of child flows? I've already created a working flow with the .map() function to iterate over the list of tables, but that doesn't seem like a good approach since the Prefect UI doesn't seem to neatly separate things out for debugging and retrying.

you could use

create_flow_run.map([{'child_arg': 'value'}, ...], flow_name=unmapped(my_flow_name))

or you could define your own task using the python client, which you could again map over like

@task
def trigger_flow_run(arg: Tuple) -> None:
    child_flow_name, params = arg
    print(f'Starting child flow run {child_flow_name}')
    client = Client()
    client.create_flow_run(
        run_name=f"{context.flow_run_name}-{child_flow_name}",
        version_group_id="YOUR_CHILD_FLOWS_VERSION_GROUP_ID",
        parameters=params

with Flow('Parent Flow') as flow:
    children = [
        ('child_flow_1', {'child_arg': 'value_1'}), ('child_flow_2', {'child_arg': 'value_2'})
    ]

    trigger_flow_run.map(children)

I see create_flow_run requires a registered flow and prefect agent. How would I go about testing this during development on local CLI?

not possible - create_flow_run is orchestrator pattern which means it needs access to the backend API and can't run locally without prior registration of child and parent flows