Revert "Support new error messages. (#226)"

This reverts commit f8a5a14.

Author: ueshin

dbt/adapters/databricks/impl.py

@@ -162,46 +162,6 @@ def parse_describe_extended(
             for idx, column in enumerate(rows)
         ]
 
-    def get_columns_in_relation(self, relation: DatabricksRelation) -> List[DatabricksColumn]:
-        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[Row] = super(SparkAdapter, self).get_columns_in_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 any(
-                    msg in errmsg
-                    for msg in (
-                        "[TABLE_OR_VIEW_NOT_FOUND]",
-                        "Table or view not found",
-                        "NoSuchTableException",
-                    )
-                ):
-                    pass
-                else:
-                    raise e
-
-        # strip hudi metadata columns.
-        return [x for x in columns if x.name not in self.HUDI_METADATA_COLUMNS]
-
     def parse_columns_from_information(
         self, relation: DatabricksRelation
     ) -> List[DatabricksColumn]: