add a skip marker indicating the issue that needs to be resolved

tests/functional/adapter/test_persist_test_results.py

@@ -1,3 +1,5 @@
+from typing import Dict
+
 import pytest
 
 from dbt.tests.adapter.persist_test_results.basic import PersistTestResults
@@ -8,11 +10,15 @@ class TestPersistTestResultsDatabricks(PersistTestResults):
     pass
 
 
+@pytest.mark.skip("Spark handles delete differently and this is not yet accounted for.")
 @pytest.mark.skip_profile("spark_session", "databricks_cluster", "databricks_sql_endpoint")
 class TestPersistTestResultsSpark(PersistTestResults):
-    @pytest.fixture(scope="class")
-    def project_config_update(self):
-        return {
-            "seeds": {"quote_columns": True},
-            "tests": {"+schema": self.audit_schema_suffix},
-        }
+    def delete_record(self, project, record: Dict[str, str]):
+        """
+        Using "DELETE FROM" with Spark throws the following error:
+        dbt.exceptions.DbtDatabaseError: Database Error
+            org.apache.hive.service.cli.HiveSQLException:
+                Error running query: org.apache.spark.sql.AnalysisException:
+                    DELETE is only supported with v2 tables.
+        """
+        pass