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Always update metadata in arrow schema #2274

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merged 8 commits into from Apr 29, 2021

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@lhoestq lhoestq commented Apr 27, 2021

We store a redundant copy of the features in the metadata of the schema of the arrow table. This is used to recover the features when doing Dataset.from_file. These metadata are updated after each transfor, that changes the feature types.

For each function that transforms the feature types of the dataset, I added a step in the tests to make sure the metadata in the arrow schema are up to date.

I also added a line to update the metadata directly in the Dataset.init method.
This way even a dataset instantiated with init will have a table with the right metadata.

Fix #2271.

cc @mariosasko

@lhoestq lhoestq merged commit 9a3fc19 into master Apr 29, 2021
@lhoestq lhoestq deleted the always-update-metadata-in-arrow-schema branch April 29, 2021 09:57
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Synchronize table metadata with features
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