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Feature/dataset based compilers #917
Feature/dataset based compilers #917
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Thanks @GeorgesLorre!
@@ -857,4 +858,4 @@ def write( | |||
resources=resources, | |||
cache=cache, | |||
) | |||
self._apply(operation) | |||
return self._apply(operation) |
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The only difference to the .apply
method is that the write
method does ignore the produces.
I would leave it like this but what do you think about adding a deprecation warning to the write
method?
We could use this method in the future export the dataset from the working directory to a remote storage for instance.
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I'm not sure I completely understand. Are we deprecating the write ?
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Thats the question if we want to do it. The apply and write looking quite similar now.
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Thanks @GeorgesLorre! I like the workflow wording instead of pipeline in the documentation. Maybe we can use this more often.
We could explain these concepts somewhere else.
E.g.: A dataset can be materialized by running a workflow. The workflow has to be compiled first.
Co-authored-by: Matthias Richter <[email protected]>
@mrchtr I updated the docs based on your suggestions |
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feature/refactore-pipeline-interface
Co-authored-by: Matthias Richter <[email protected]>
Co-authored-by: Matthias Richter <[email protected]>
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