diff --git a/superset/commands/dataset/export.py b/superset/commands/dataset/export.py
index 5422f821577..e298a8f58f1 100644
--- a/superset/commands/dataset/export.py
+++ b/superset/commands/dataset/export.py
@@ -78,6 +78,19 @@ class ExportDatasetsCommand(ExportModelsCommand):
         payload["version"] = EXPORT_VERSION
         payload["database_uuid"] = str(model.database.uuid)
 
+        # Always set cache_timeout from the property to ensure correct value
+        payload["cache_timeout"] = model.cache_timeout
+
+        # SQLAlchemy returns column names as quoted_name objects which PyYAML cannot
+        # serialize. Convert all keys to regular strings to fix YAML serialization.
+        try:
+            from sqlalchemy.sql.elements import quoted_name
+
+            if any(isinstance(key, quoted_name) for key in payload.keys()):
+                payload = {str(key): value for key, value in payload.items()}
+        except ImportError:
+            pass
+
         file_content = yaml.safe_dump(payload, sort_keys=False)
         return file_content
 
diff --git a/superset/connectors/sqla/models.py b/superset/connectors/sqla/models.py
index 3c0f45feab5..03c2d35fd8e 100644
--- a/superset/connectors/sqla/models.py
+++ b/superset/connectors/sqla/models.py
@@ -225,9 +225,7 @@ class BaseDatasource(
         This allows each datasource to override caching, while falling back
         to database-level defaults when appropriate.
         """
-        if self._cache_timeout is not None:
-            return self._cache_timeout
-        return self.database.cache_timeout
+        return self._cache_timeout or self.database.cache_timeout
 
     @cache_timeout.setter
     def cache_timeout(self, value: int | None) -> None:
diff --git a/superset/utils/core.py b/superset/utils/core.py
index bf0b97bbb47..b4058165b27 100644
--- a/superset/utils/core.py
+++ b/superset/utils/core.py
@@ -1678,7 +1678,7 @@ def get_metric_type_from_column(
     from superset.connectors.sqla.models import SqlMetric
 
     # Explorable datasources may not have metrics attribute
-    if not hasattr(datasource, "metrics"):
+    if datasource is None or not hasattr(datasource, "metrics"):
         return ""
 
     metric: SqlMetric = next(
diff --git a/tests/integration_tests/dict_import_export_tests.py b/tests/integration_tests/dict_import_export_tests.py
index b0855123305..96265ccb2b7 100644
--- a/tests/integration_tests/dict_import_export_tests.py
+++ b/tests/integration_tests/dict_import_export_tests.py
@@ -65,9 +65,9 @@ class TestDictImportExport(SupersetTestCase):
         cols_uuids=None,
         metric_names=[],  # noqa: B006
     ):
-        database_name = "main"
+        database = get_example_database()
         name = f"{NAME_PREFIX}{name}"
-        params = {DBREF: id, "database_name": database_name}
+        params = {DBREF: id, "database_name": database.database_name}
 
         if cols_uuids is None:
             cols_uuids = [None] * len(cols_names)
@@ -86,7 +86,11 @@ class TestDictImportExport(SupersetTestCase):
         }
 
         table = SqlaTable(
-            id=id, schema=schema, table_name=name, params=json.dumps(params)
+            id=id,
+            schema=schema,
+            table_name=name,
+            params=json.dumps(params),
+            database=database,
         )
         for col_name, uuid in zip(cols_names, cols_uuids, strict=False):
             table.columns.append(TableColumn(column_name=col_name, uuid=uuid))
diff --git a/tests/unit_tests/utils/map_type_tests.py b/tests/unit_tests/utils/map_type_tests.py
index b076880e147..a91fe1abf0a 100644
--- a/tests/unit_tests/utils/map_type_tests.py
+++ b/tests/unit_tests/utils/map_type_tests.py
@@ -16,8 +16,6 @@
 #
 from unittest.mock import MagicMock, patch
 
-import pytest
-
 from superset.connectors.sqla.models import SqlMetric
 from superset.utils.core import (
     get_metric_type_from_column,
@@ -62,8 +60,7 @@ def test_column_is_none():
 def test_datasource_is_none():
     datasource = None
     column = "my_column"
-    with pytest.raises(AttributeError):
-        get_metric_type_from_column(column, datasource)
+    assert get_metric_type_from_column(column, datasource) == ""
 
 
 def test_none_input():