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docs: document that parallelized=True
resources with add_limit(x)
usually yield x-1
#2142
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limit = 5 | ||
result = list(sync_resource1().add_limit(limit)) | ||
allowed_result_range = range(limit - int(parallelized), limit + 1) |
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this is not ideal.
Ideal would be to make the parallel yields exact. I tried this for a few hours to no avail. Next best would be to run this test x times when parallelized=True
and then ensure that the threshold of yields lies below 4.5.
parallelized=True
resources with add_limit(x)
usually yield x-1
@joscha thanks for this PR. If you look in the PR list, you can see that I have changed the add_limit implementation. You could check out that branch and see wether you are still seeing those problem there or maybe even add your test there. I think it might actually be resolved. |
Will give your branch a try! |
yes, current code of #2131 (3738c29) reliably produces exacltly |
@joscha amazing, your helping out on this is very much appreciated :) |
I am glad it now produces exactly @pytest.mark.parametrize("parallelized", [False, True])
def test_limit_sync_resource(parallelized: bool) -> None:
@dlt.resource(parallelized=parallelized)
def sync_resource1():
for i in range(1, 10):
yield i
limit = 5
result = list(sync_resource1().add_limit(limit))
assert len(result) == limit which is precise enough to keep. |
@joscha, I think this case is already tested with the async resource test (as a parallized resource is just that under the hood) but I added this case to my PR. I'll close this one now :) |
Most of the time (80%ish or so) parallelized resources that are limited yield one item less.