disable some tests that are not fallback tests and fail due to deleti…

…on vector metrics missing

integration_tests/src/main/python/delta_lake_update_test.py

@@ -92,6 +92,7 @@ def write_func(spark, path):
 @pytest.mark.parametrize("use_cdf", [True, False], ids=idfn)
 @pytest.mark.parametrize("partition_columns", [None, ["a"]], ids=idfn)
 @pytest.mark.skipif(is_before_spark_320(), reason="Delta Lake writes are not supported before Spark 3.2.x")
+@pytest.mark.skipif(is_databricks122_or_later(), reason="https://github.com/NVIDIA/spark-rapids/issues/8423")
 def test_delta_update_entire_table(spark_tmp_path, use_cdf, partition_columns):
     def generate_dest_data(spark):
         return three_col_df(spark,
@@ -124,6 +125,7 @@ def generate_dest_data(spark):
 @pytest.mark.parametrize("use_cdf", [True, False], ids=idfn)
 @pytest.mark.parametrize("partition_columns", [None, ["a"]], ids=idfn)
 @pytest.mark.skipif(is_before_spark_320(), reason="Delta Lake writes are not supported before Spark 3.2.x")
+@pytest.mark.skipif(is_databricks122_or_later(), reason="https://github.com/NVIDIA/spark-rapids/issues/8423")
 def test_delta_update_rows(spark_tmp_path, use_cdf, partition_columns):
     # Databricks changes the number of files being written, so we cannot compare logs unless there's only one slice
     num_slices_to_test = 1 if is_databricks_runtime() else 10
@@ -142,6 +144,7 @@ def generate_dest_data(spark):
 @pytest.mark.parametrize("use_cdf", [True, False], ids=idfn)
 @pytest.mark.parametrize("partition_columns", [None, ["a"]], ids=idfn)
 @pytest.mark.skipif(is_before_spark_320(), reason="Delta Lake writes are not supported before Spark 3.2.x")
+@pytest.mark.skipif(is_databricks122_or_later(), reason="https://github.com/NVIDIA/spark-rapids/issues/8423")
 def test_delta_update_dataframe_api(spark_tmp_path, use_cdf, partition_columns):
     from delta.tables import DeltaTable
     data_path = spark_tmp_path + "/DELTA_DATA"