Replication code

import prefect
from prefect import flow
from prefect.deployments.deployments import Deployment

@flow
def success():
    prefect.get_run_logger().info("a")


@flow
def fail():
    prefect.get_run_logger().info("b")


@flow
def main_flow():
    prefect.get_run_logger().info("c")
    success()
    fail()


if __name__ == "__main__":
    Deployment.build_from_flow(flow=main_flow, name="test_flow", apply=True)

Create a flow run using the deployment page on an agent. Once the flow run is completed, retry the same flow run using the UI. The retry should fail with a Missing Result error.

Reping for attentions

The persist_result option defaults to a null value, which will automatically enable persistence if it is needed for a Prefect feature used by the flow or task.

Also according to docs

what is the expected outcome here?

retrys require results

Retrying is implicitly saying use results

My concern with this approach is: 1. I am using a distributed agent ie. multiple agents in multiple machines on the cloud. 2. My code has no returns ie all of them return

None

3. Id say it would be weird if I had to allocate a shared remote storage infrastructure to store those `None`s in esp. as the results are not being used at all. The status of the subflows are in Prefect database.

Hi @Christopher Boyd, Any update on this?