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python/lsst/daf/butler/direct_query_driver/_convert_results.py

@@ -48,12 +48,31 @@ def convert_dimension_record_results(
     next_key: PageKey | None,
     name_shrinker: NameShrinker,
 ) -> DimensionRecordResultPage:
+    """Convert a raw SQL result iterable into a page of `DimensionRecord`
+    query results.
+
+    Parameters
+    ----------
+    raw_rows : `~collections.abc.Iterable` [ `sqlalchemy.Row` ]
+        Iterable of SQLAlchemy rows, with `Postprocessing` filters already
+        applied.
+    spec : `DimensionRecordResultSpec`
+        Specification for result objects.
+    next_key : `PageKey` or `None`
+        Key for the next page to add into the returned page object.
+    name_shrinker : `NameShrinker`
+        Object used to ensure dataset type field names fit inside the database
+        engine's identifier size limit.  Unnecessary for dimension fields,
+        which are restricted to fit in the identifier size limit when a
+        universe is initialized.
+
+    Returns
+    -------
+    result_page : `DimensionRecordResultPage`
+        Page object that holds a `DimensionRecord` container.
+    """
     record_set = DimensionRecordSet(spec.element)
-    columns = spec.get_result_columns()
-    column_mapping = [
-        (field, name_shrinker.shrink(columns.get_qualified_name(spec.element.name, field)))
-        for field in spec.element.schema.names
-    ]
+    column_mapping = [(field, field) for field in spec.element.schema.names]
     record_cls = spec.element.RecordClass
     if not spec.element.temporal:
         for raw_row in raw_rows: