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Refactor _register_dataset_changes #42343
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uranusjr
merged 11 commits into
apache:main
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astronomer:refactor-register-dataset-changes
Sep 25, 2024
Merged
Refactor _register_dataset_changes #42343
uranusjr
merged 11 commits into
apache:main
from
astronomer:refactor-register-dataset-changes
Sep 25, 2024
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Instead of fetching DatasetModel one by one, do a bulk fetch into a dict to save roundtrips to the database.
Prior to this commit, we already only create DatasetModel rows inside the manager. This also changes how DatasetAliasModel to only be created inside create_dataset_aliases, and only associated them to DatasetEvent in register_dataset_change. All the dataset manager functions are also changed to only accept public-facing dataset classes, instead of ORM models. The register_dataset_change function now takes an additional keyword argument 'aliases' that is a list of dataset aliases associated to the DatasetEvent to be created.
Prior to this commit, we already only create DatasetModel rows inside the manager. This also changes how DatasetAliasModel to only be created inside create_dataset_aliases, and only associated them to DatasetEvent in register_dataset_change. All the dataset manager functions are also changed to only accept public-facing dataset classes, instead of ORM models. The register_dataset_change function now takes an additional keyword argument 'aliases' that is a list of dataset aliases associated to the DatasetEvent to be created.
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uranusjr
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vincbeck
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Lee-W
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vincbeck
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Depends on #42245. Please review that PR first. This will be rebased when that one is merged.Rebased. Ready!This makes DatasetAliasModel only be created inside DatasetManager, similar to how DatasetModel is handled. The function create_dataset_aliases is added for this. DatasetAlias is also made to only be associated to a DatasetEvent in the manager (in function register_dataset_change). This function now takes an additional keyword argument
aliases
that is a list of dataset aliases associated to the DatasetEvent to be created.All the dataset manager functions are also changed to only accept public-facing dataset classes, instead of ORM models.