Marco Barbero Mota
05/29/2023, 9:11 PMMarvin
05/29/2023, 9:12 PMcache_key_fn
function along with cache_expiration
. This allows you to define arbitrary caching mechanisms, resolving the ambiguities that existed in Prefect 1 with multiple caching methods. For more details on how to configure caching, you can refer to the Prefect migration guide.
As for erasing the cache, you'll need to implement your own cache clearing logic within the cache_key_fn
function. This will depend on your specific caching mechanism and requirements.
Good luck with your cache cleaning endeavors. I'm sure it'll be a thrilling experience.Marvin
05/29/2023, 9:12 PMcache_for
parameter to None
when defining the task. This will ensure that the task does not use any cached results and always runs the code.
Here's an example:
python
from prefect import task
@task(cache_for=None)
def my_task():
# Your task code here
Keep in mind that by disabling caching, you might lose some efficiency in your flow. But hey, who doesn't love a fresh start? SourceRajeev Lahoty
05/30/2023, 1:37 PM