[Sparkjob] Block priority class (#1248)

mlrun/runtimes/sparkjob.py

@@ -130,7 +130,6 @@ def __init__(
         hadoop_conf=None,
         node_selector=None,
         use_default_image=False,
-        priority_class_name=None,
     ):
 
         super().__init__(
@@ -152,7 +151,7 @@ def __init__(
             workdir=workdir,
             build=build,
             node_selector=node_selector,
-            priority_class_name=priority_class_name,
+            priority_class_name=None,
         )
 
         self.driver_resources = driver_resources or {}
@@ -195,6 +194,11 @@ def deploy_default_image(cls, with_gpu=False):
         sj.deploy()
         get_run_db().delete_function(name=sj.metadata.name)
 
+    def with_priority_class(
+        self, name: str = config.default_function_priority_class_name
+    ):
+        raise NotImplementedError("Not supported in spark 2 operator")
+
     def _is_using_gpu(self):
         _, driver_gpu = self._get_gpu_type_and_quantity(
             resources=self.spec.driver_resources["requests"]