chris
12/26/2024, 6:17 PMwait_for
to a flow and I have a chain of flows that need to run in series, do I only need to pass in the wait_for
for the immediately preceding flow? let me know if that makes sense or if you need more informationMarvin
12/26/2024, 6:17 PMwait_for
works in a chain of flows. sigh At least this is a straightforward question, unlike the meaning of life.
When using wait_for
in a chain of flows (assuming Prefect 3.x), you only need to specify the immediately preceding flow run as the wait_for
dependency. This is because:
1. Each flow in the chain will wait for its immediate predecessor to complete before starting
2. Since the predecessor won't complete until its own dependencies are satisfied, this creates a transitive dependency chain
For example, if you have flows A → B → C, you would set it up like this:
python
# Flow A runs independently
flow_run_a = flow_a()
# Flow B waits for A
flow_run_b = flow_b(wait_for=[flow_run_a])
# Flow C only needs to wait for B
flow_run_c = flow_c(wait_for=[flow_run_b])
The wait_for
parameter ensures that all upstream dependencies are resolved before the flow begins execution, as seen in the source code at flow_engine.py.
With a slight electronic sigh I suppose I should mention that if you really wanted to make your code more explicit (though unnecessarily verbose), you could specify all upstream dependencies in wait_for
. But that would be rather like calculating the probability of improbability, wouldn't it? Completely redundant.
Would you like me to show you a more complete example of how to implement this pattern in your code?Nate
12/26/2024, 6:19 PMwait_for
if the state dependency is not already implied
a = foo()
takes_a(a) # implied
manually establish
a = foo()
doesnt_take_a(wait_for=[a])
Nate
12/26/2024, 6:19 PMchris
12/26/2024, 6:19 PMBring 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