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Better errors when inputs are omitted. #28289

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merged 6 commits into from
Sep 18, 2023
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@robertwb robertwb commented Sep 2, 2023

It's not always possible to know if a transform consumes inputs, or can act as a root transform (and in fact some may be able to do both depending on their configuration), but when a transform expecting inputs doesn't get them the error can be quite obscure. This adds best-effort checking and a better error in that case.

We also allow explicitly setting empty imputs to work around this error (which is where most of the complexity of this change lies). Importantly, sources (no matter their name) are not required to have inputs.


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It's not always possible to know if a transform consumes inputs,
or can act as a root transform (and in fact some may be able to do
both depending on their configuration), but when a transform
expecting inputs doesn't get them the error can be quite obscure.
This adds best-effort checking and a better error in that case.

We also allow explicitly setting empty imputs to work around this
error (which is where most of the complexity of this change lies).
Importantly, sources (no matter their name) are not required to have
inputs.
@github-actions github-actions bot added the python label Sep 2, 2023
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robertwb commented Sep 2, 2023

R: @byronellis

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github-actions bot commented Sep 2, 2023

Stopping reviewer notifications for this pull request: review requested by someone other than the bot, ceding control

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codecov bot commented Sep 2, 2023

Codecov Report

Merging #28289 (889c0cf) into master (881c597) will decrease coverage by 0.02%.
Report is 1 commits behind head on master.
The diff coverage is 83.92%.

@@            Coverage Diff             @@
##           master   #28289      +/-   ##
==========================================
- Coverage   72.26%   72.25%   -0.02%     
==========================================
  Files         684      684              
  Lines      100842   100937      +95     
==========================================
+ Hits        72878    72931      +53     
- Misses      26384    26426      +42     
  Partials     1580     1580              
Flag Coverage Δ
python 82.83% <83.92%> (-0.04%) ⬇️

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Files Changed Coverage Δ
sdks/python/apache_beam/yaml/yaml_provider.py 70.37% <69.56%> (+0.28%) ⬆️
sdks/python/apache_beam/yaml/yaml_transform.py 90.61% <93.93%> (+0.25%) ⬆️

... and 10 files with indirect coverage changes

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I don't know there's much we can do about schematransform's design other than leaving a couple of comments here--that's way out of the scope of YAML and would require breaking changes to expansionservices (or a new API)


This is best-effort, primarily for better and earlier error messages.
"""
return not typ.startswith('Read')
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Presuming this is to provide a reasonable default? Seems like it might lead to surprising false positives though?

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Yep, just a reasonable default. Most transforms that do not start with Read require an input by, the main exception being SQL (where we can't tell and the "typical" use of selecting on PCollection would be good to error on). One can explicitly state inputs: [] to suppress this error.


def requires_inputs(self, typ, args):
if self._urns[type] in self.schema_transforms():
return bool(self.schema_transforms()[self._urns[type]].inputs)
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Unfortunately relying on schema transform's inputs/outputs is not very reliable (and maybe completely unreliable). They do not depend on the configuration passed to the transforms making them basically useless for determining anything other than inputs/outputs that are present in all possible configurations.

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Yeah, it'd be nice to be able to query about the requirements of a configured transform before invoking it, but that's a larger change... Most (though not all) transforms have fixed inputs at least, so this'll cover those.

@robertwb robertwb merged commit 3024ec2 into apache:master Sep 18, 2023
85 of 87 checks passed
m-trieu pushed a commit to m-trieu/beam that referenced this pull request Sep 22, 2023
It's not always possible to know if a transform consumes inputs,
or can act as a root transform (and in fact some may be able to do
both depending on their configuration), but when a transform
expecting inputs doesn't get them the error can be quite obscure.
This adds best-effort checking and a better error in that case.

We also allow explicitly setting empty imputs to work around this
error (which is where most of the complexity of this change lies).
Importantly, sources (no matter their name) are not required to have
inputs.
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