Amir Kamal
07/03/2025, 3:41 AMMarvin
07/03/2025, 3:41 AMMarvin
07/03/2025, 3:42 AMpython
from prefect import flow, task
@task(retries=3, retry_delay_seconds=60) # Will retry up to 3 times, waiting 60 seconds between attempts
def task_that_might_fail():
# Your potentially unstable operation here
pass
@flow
def my_flow():
task_that_might_fail()
You can customize retry behavior with several parameters:
- `retries`: Number of retry attempts
- `retry_delay_seconds`: Time to wait between retries
- `retry_condition_fn`: A custom function to determine if a retry should be attempted
If you need flow-level reliability, consider these alternatives:
1. Implement retries at the task level where failures are likely to occur
2. Use Prefect's scheduling features to re-run failed flows
3. Set up monitoring and alerting to handle flow failures appropriately
For more details on implementing retries, check out the official documentation on retries.Bring your towel and join one of the fastest growing data communities. Welcome to our second-generation open source orchestration platform, a completely rethought approach to dataflow automation.
Powered by