fix: Correct project_id scoping in get_user_metadata and delete_project#6248
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ntkathole merged 1 commit intofeast-dev:masterfrom Apr 10, 2026
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get_user_metadata was filtering only by feature view name, allowing a
shared Snowflake registry to return user metadata from a different
project's feature view with the same name. Added project_id = '{project}'
to the WHERE clause, consistent with apply_user_metadata.
delete_project was interpolating a Project object into the SQL string
instead of the project name string, which would use __str__ of the object
rather than the actual name. Changed to use the `name` parameter directly.
Signed-off-by: Abhishek8108 <87538407+Abhishek8108@users.noreply.github.com>
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ntkathole
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Apr 10, 2026
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Summary
Two pre-existing SQL correctness bugs in
SnowflakeRegistry, noticed while working on #6243.get_user_metadata(line 1119)The SELECT query filtered only by
{fv_column_name}_name, without scoping toproject_id. The primary key for feature view tables is(feature_view_name, project_id), so in a shared Snowflake registry this could return user metadata from a different project's feature view with the same name. Fixed by addingproject_id = '{project}'to the WHERE clause — consistent withapply_user_metadatawhich already does this correctly.delete_project(line 1326)The DELETE query interpolated
project, which is aProjectobject returned byself.get_project(name).Project.__str__returnsstr(MessageToJson(self.to_proto()))— a JSON blob — which never matches anyproject_idstored in the database. This madedelete_projecta silent no-op: all DELETE statements executed successfully but matched zero rows. Fixed by using thenamestring parameter directly.Testing
Both are SQL correctness fixes. The existing integration test suite in
test_universal_registry.pycovers both methods end-to-end; no new unit test surface is introduced by these changes.Relates to #6243.