[CT-1114] remove Cache call from get_columns_in_relation

.changes/unreleased/Fixes-20220914-010520.yaml

@@ -0,0 +1,8 @@
+kind: Fixes
+body: change to get_columns_in_relation to fix cache inconsistencies to fix cache
+  issues in incremental models causing failure on on_schema_change
+time: 2022-09-14T01:05:20.312981-05:00
+custom:
+  Author: McKnight-42
+  Issue: "447"
+  PR: "451"

.pre-commit-config.yaml

@@ -5,7 +5,7 @@ exclude: '^tests/.*'
 
 # Force all unspecified python hooks to run python 3.8
 default_language_version:
-  python: python3.8
+  python: python3
 
 repos:
 - repo: https://github.com/pre-commit/pre-commit-hooks

dbt/adapters/spark/impl.py

@@ -207,36 +207,20 @@ def find_table_information_separator(rows: List[dict]) -> int:
         return pos
 
     def get_columns_in_relation(self, relation: Relation) -> List[SparkColumn]:
-        cached_relations = self.cache.get_relations(relation.database, relation.schema)
-        cached_relation = next(
-            (
-                cached_relation
-                for cached_relation in cached_relations
-                if str(cached_relation) == str(relation)
-            ),
-            None,
-        )
         columns = []
-        if cached_relation and cached_relation.information:
-            columns = self.parse_columns_from_information(cached_relation)
-        if not columns:
-            # in open source delta 'show table extended' query output doesnt
-            # return relation's schema. if columns are empty from cache,
-            # use get_columns_in_relation spark macro
-            # which would execute 'describe extended tablename' query
-            try:
-                rows: List[agate.Row] = self.execute_macro(
-                    GET_COLUMNS_IN_RELATION_RAW_MACRO_NAME, kwargs={"relation": relation}
-                )
-                columns = self.parse_describe_extended(relation, rows)
-            except dbt.exceptions.RuntimeException as e:
-                # spark would throw error when table doesn't exist, where other
-                # CDW would just return and empty list, normalizing the behavior here
-                errmsg = getattr(e, "msg", "")
-                if "Table or view not found" in errmsg or "NoSuchTableException" in errmsg:
-                    pass
-                else:
-                    raise e
+        try:
+            rows: List[agate.Row] = self.execute_macro(
+                GET_COLUMNS_IN_RELATION_RAW_MACRO_NAME, kwargs={"relation": relation}
+            )
+            columns = self.parse_describe_extended(relation, rows)
+        except dbt.exceptions.RuntimeException as e:
+            # spark would throw error when table doesn't exist, where other
+            # CDW would just return and empty list, normalizing the behavior here
+            errmsg = getattr(e, "msg", "")
+            if "Table or view not found" in errmsg or "NoSuchTableException" in errmsg:
+                pass
+            else:
+                raise e
 
         # strip hudi metadata columns.
         columns = [x for x in columns if x.name not in self.HUDI_METADATA_COLUMNS]