Techniques for building complex, production-grade workflows with Lume
source_path
for a given Flow Version to ensure idempotency. For disaster recovery or reprocessing corrected data, you can bypass this check. See the Idempotency and Reliability section for more details on how Lume prevents duplicate runs.
time.sleep()
loop is not ideal. A better approach is to use an exponential backoff strategy for polling to reduce network load and handle transient API issues gracefully.
run.metadata
attribute contains a rich, structured object detailing the outcome of a completed run. It is essential for building robust monitoring, alerting, and automated downstream workflows.
For the complete, detailed schema of this object, see the LumeRun
Class Reference.
PARTIAL_FAILED
status is not necessarily an error condition. It means some data was processed successfully, while some was rejected. This is a common outcome in production pipelines dealing with messy real-world data.
Your workflow should be designed to handle this state gracefully.