diff --git a/dbt/adapters/spark/impl.py b/dbt/adapters/spark/impl.py
index 9652a24be..7600bc4eb 100644
--- a/dbt/adapters/spark/impl.py
+++ b/dbt/adapters/spark/impl.py
@@ -78,7 +78,7 @@ def _update(self, relation: _CachedRelation):
 
         self.relations[key].inner = relation.inner
 
-    def upsert_relation(self, relation):
+    def update_relation(self, relation):
         """Update the relation inner to the cache
 
         : param BaseRelation relation: The underlying relation.
@@ -126,7 +126,10 @@ class SparkAdapter(SQLAdapter):
     Column: TypeAlias = SparkColumn
     ConnectionManager: TypeAlias = SparkConnectionManager
     AdapterSpecificConfigs: TypeAlias = SparkConfig
-    cache = SparkRelationsCache()
+
+    def __init__(self, config):
+        super().__init__(config)
+        self.cache = SparkRelationsCache()
 
     @classmethod
     def date_function(cls) -> str:
@@ -212,7 +215,6 @@ def get_relation(
             database = None
 
         cached = super().get_relation(database, schema, identifier)
-        logger.info(f">>> get_relation: {cached.render() if cached is not None else 'Empty'}")
         return self._set_relation_information(cached) if cached else None
 
     def parse_describe_extended(
@@ -262,17 +264,16 @@ def get_columns_in_relation(self, relation: Relation) -> List[SparkColumn]:
             None,
         )
 
-        logger.info(f">>> get_columns_in_relation: {relation.render() if relation is not None else 'Empty'}, "
-                     f"{cached_relation.render() if cached_relation is not None else 'Empty'}")
-
         if not cached_relation:
-            updated_relation = self.cache.add(self._get_updated_relation(relation))
+            updated_relation = self._get_updated_relation(relation)
+            if updated_relation:
+                self.cache.add(updated_relation)
         else:
             updated_relation = self._set_relation_information(cached_relation)
 
         return self._get_spark_columns(updated_relation)
 
-    def _get_updated_relation(self, relation: BaseRelation) -> SparkRelation:
+    def _get_updated_relation(self, relation: BaseRelation) -> Optional[SparkRelation]:
         metadata = None
         columns = []
 
@@ -295,7 +296,10 @@ def _get_updated_relation(self, relation: BaseRelation) -> SparkRelation:
         columns = [x for x in columns
                    if x.name not in self.HUDI_METADATA_COLUMNS]
 
-        provider = metadata[KEY_TABLE_PROVIDER]
+        if not metadata:
+            return None
+
+        provider = metadata.get(KEY_TABLE_PROVIDER)
         return self.Relation.create(
             database=None,
             schema=relation.schema,
@@ -303,8 +307,8 @@ def _get_updated_relation(self, relation: BaseRelation) -> SparkRelation:
             type=relation.type,
             is_delta=(provider == 'delta'),
             is_hudi=(provider == 'hudi'),
-            owner=metadata[KEY_TABLE_OWNER],
-            stats=metadata[KEY_TABLE_STATISTICS],
+            owner=metadata.get(KEY_TABLE_OWNER),
+            stats=metadata.get(KEY_TABLE_STATISTICS),
             columns={x.column: x.dtype for x in columns}
         )
 
@@ -315,13 +319,16 @@ def _set_relation_information(self, relation: SparkRelation) -> SparkRelation:
 
         updated_relation = self._get_updated_relation(relation)
 
-        self.cache.upsert_relation(updated_relation)
+        self.cache.update_relation(updated_relation)
         return updated_relation
 
     @staticmethod
     def _get_spark_columns(
-        relation: SparkRelation
+        relation: Optional[SparkRelation]
     ) -> List[SparkColumn]:
+        if not relation:
+            return []
+
         return [SparkColumn(
             table_database=None,
             table_schema=relation.schema,
@@ -337,7 +344,6 @@ def _get_spark_columns(
     def _get_columns_for_catalog(
         self, relation: SparkRelation
     ) -> Iterable[Dict[str, Any]]:
-        logger.info(f">>> _get_columns_for_catalog: {relation.render() if relation is not None else 'Empty'}")
         updated_relation = self._set_relation_information(relation)
 
         for column in self._get_spark_columns(updated_relation):