Rename SparkSubmitOperator/SparkJDBCOperator fields' names to comply with templated fields validation

.pre-commit-config.yaml

@@ -334,9 +334,7 @@ repos:
         #       https://github.com/apache/airflow/issues/36484
         exclude: |
           (?x)^(
-              ^airflow\/providers\/google\/cloud\/operators\/cloud_storage_transfer_service.py$|
-              ^airflow\/providers\/apache\/spark\/operators\/spark_submit.py\.py$|
-              ^airflow\/providers\/apache\/spark\/operators\/spark_submit\.py$|
+              ^airflow\/providers\/google\/cloud\/operators\/cloud_storage_transfer_service.py$
           )$
       - id: ruff
         name: Run 'ruff' for extremely fast Python linting

airflow/providers/apache/spark/operators/spark_jdbc.py

@@ -44,14 +44,6 @@ class SparkJDBCOperator(SparkSubmitOperator):
     :param spark_files: Additional files to upload to the container running the job
     :param spark_jars: Additional jars to upload and add to the driver and
                        executor classpath
-    :param num_executors: number of executor to run. This should be set so as to manage
-                          the number of connections made with the JDBC database
-    :param executor_cores: Number of cores per executor
-    :param executor_memory: Memory per executor (e.g. 1000M, 2G)
-    :param driver_memory: Memory allocated to the driver (e.g. 1000M, 2G)
-    :param verbose: Whether to pass the verbose flag to spark-submit for debugging
-    :param keytab: Full path to the file that contains the keytab
-    :param principal: The name of the kerberos principal used for keytab
     :param cmd_type: Which way the data should flow. 2 possible values:
                      spark_to_jdbc: data written by spark from metastore to jdbc
                      jdbc_to_spark: data written by spark from jdbc to metastore
@@ -60,7 +52,7 @@ class SparkJDBCOperator(SparkSubmitOperator):
     :param jdbc_driver: Name of the JDBC driver to use for the JDBC connection. This
                         driver (usually a jar) should be passed in the 'jars' parameter
     :param metastore_table: The name of the metastore table,
-    :param jdbc_truncate: (spark_to_jdbc only) Whether or not Spark should truncate or
+    :param jdbc_truncate: (spark_to_jdbc only) Whether Spark should truncate or
                          drop and recreate the JDBC table. This only takes effect if
                          'save_mode' is set to Overwrite. Also, if the schema is
                          different, Spark cannot truncate, and will drop and recreate
@@ -91,9 +83,7 @@ class SparkJDBCOperator(SparkSubmitOperator):
                                       (e.g: "name CHAR(64), comments VARCHAR(1024)").
                                       The specified types should be valid spark sql data
                                       types.
-    :param use_krb5ccache: if True, configure spark to use ticket cache instead of relying
-                           on keytab for Kerberos login
-
+    :param kwargs: kwargs passed to SparkSubmitOperator.
     """
 
     def __init__(
@@ -105,13 +95,6 @@ def __init__(
         spark_py_files: str | None = None,
         spark_files: str | None = None,
         spark_jars: str | None = None,
-        num_executors: int | None = None,
-        executor_cores: int | None = None,
-        executor_memory: str | None = None,
-        driver_memory: str | None = None,
-        verbose: bool = False,
-        principal: str | None = None,
-        keytab: str | None = None,
         cmd_type: str = "spark_to_jdbc",
         jdbc_table: str | None = None,
         jdbc_conn_id: str = "jdbc-default",
@@ -127,7 +110,6 @@ def __init__(
         lower_bound: str | None = None,
         upper_bound: str | None = None,
         create_table_column_types: str | None = None,
-        use_krb5ccache: bool = False,
         **kwargs: Any,
     ) -> None:
         super().__init__(**kwargs)
@@ -137,13 +119,6 @@ def __init__(
         self._spark_py_files = spark_py_files
         self._spark_files = spark_files
         self._spark_jars = spark_jars
-        self._num_executors = num_executors
-        self._executor_cores = executor_cores
-        self._executor_memory = executor_memory
-        self._driver_memory = driver_memory
-        self._verbose = verbose
-        self._keytab = keytab
-        self._principal = principal
         self._cmd_type = cmd_type
         self._jdbc_table = jdbc_table
         self._jdbc_conn_id = jdbc_conn_id
@@ -160,7 +135,6 @@ def __init__(
         self._upper_bound = upper_bound
         self._create_table_column_types = create_table_column_types
         self._hook: SparkJDBCHook | None = None
-        self._use_krb5ccache = use_krb5ccache
 
     def execute(self, context: Context) -> None:
         """Call the SparkSubmitHook to run the provided spark job."""
@@ -186,8 +160,8 @@ def _get_hook(self) -> SparkJDBCHook:
             executor_memory=self._executor_memory,
             driver_memory=self._driver_memory,
             verbose=self._verbose,
-            keytab=self._keytab,
-            principal=self._principal,
+            keytab=self.keytab,
+            principal=self.principal,
             cmd_type=self._cmd_type,
             jdbc_table=self._jdbc_table,
             jdbc_conn_id=self._jdbc_conn_id,

airflow/providers/apache/spark/operators/spark_submit.py

@@ -81,21 +81,21 @@ class SparkSubmitOperator(BaseOperator):
     """
 
     template_fields: Sequence[str] = (
-        "_application",
-        "_conf",
-        "_files",
-        "_py_files",
-        "_jars",
-        "_driver_class_path",
-        "_packages",
-        "_exclude_packages",
-        "_keytab",
-        "_principal",
-        "_proxy_user",
-        "_name",
-        "_application_args",
-        "_env_vars",
-        "_properties_file",
+        "application",
+        "conf",
+        "files",
+        "py_files",
+        "jars",
+        "driver_class_path",
+        "packages",
+        "exclude_packages",
+        "keytab",
+        "principal",
+        "proxy_user",
+        "name",
+        "application_args",
+        "env_vars",
+        "properties_file",
     )
     ui_color = WEB_COLORS["LIGHTORANGE"]
 
@@ -135,32 +135,32 @@ def __init__(
         **kwargs: Any,
     ) -> None:
         super().__init__(**kwargs)
-        self._application = application
-        self._conf = conf
-        self._files = files
-        self._py_files = py_files
+        self.application = application
+        self.conf = conf
+        self.files = files
+        self.py_files = py_files
         self._archives = archives
-        self._driver_class_path = driver_class_path
-        self._jars = jars
+        self.driver_class_path = driver_class_path
+        self.jars = jars
         self._java_class = java_class
-        self._packages = packages
-        self._exclude_packages = exclude_packages
+        self.packages = packages
+        self.exclude_packages = exclude_packages
         self._repositories = repositories
         self._total_executor_cores = total_executor_cores
         self._executor_cores = executor_cores
         self._executor_memory = executor_memory
         self._driver_memory = driver_memory
-        self._keytab = keytab
-        self._principal = principal
-        self._proxy_user = proxy_user
-        self._name = name
+        self.keytab = keytab
+        self.principal = principal
+        self.proxy_user = proxy_user
+        self.name = name
         self._num_executors = num_executors
         self._status_poll_interval = status_poll_interval
-        self._application_args = application_args
-        self._env_vars = env_vars
+        self.application_args = application_args
+        self.env_vars = env_vars
         self._verbose = verbose
         self._spark_binary = spark_binary
-        self._properties_file = properties_file
+        self.properties_file = properties_file
         self._queue = queue
         self._deploy_mode = deploy_mode
         self._hook: SparkSubmitHook | None = None
@@ -171,7 +171,7 @@ def execute(self, context: Context) -> None:
         """Call the SparkSubmitHook to run the provided spark job."""
         if self._hook is None:
             self._hook = self._get_hook()
-        self._hook.submit(self._application)
+        self._hook.submit(self.application)
 
     def on_kill(self) -> None:
         if self._hook is None:
@@ -180,32 +180,32 @@ def on_kill(self) -> None:
 
     def _get_hook(self) -> SparkSubmitHook:
         return SparkSubmitHook(
-            conf=self._conf,
+            conf=self.conf,
             conn_id=self._conn_id,
-            files=self._files,
-            py_files=self._py_files,
+            files=self.files,
+            py_files=self.py_files,
             archives=self._archives,
-            driver_class_path=self._driver_class_path,
-            jars=self._jars,
+            driver_class_path=self.driver_class_path,
+            jars=self.jars,
             java_class=self._java_class,
-            packages=self._packages,
-            exclude_packages=self._exclude_packages,
+            packages=self.packages,
+            exclude_packages=self.exclude_packages,
             repositories=self._repositories,
             total_executor_cores=self._total_executor_cores,
             executor_cores=self._executor_cores,
             executor_memory=self._executor_memory,
             driver_memory=self._driver_memory,
-            keytab=self._keytab,
-            principal=self._principal,
-            proxy_user=self._proxy_user,
-            name=self._name,
+            keytab=self.keytab,
+            principal=self.principal,
+            proxy_user=self.proxy_user,
+            name=self.name,
             num_executors=self._num_executors,
             status_poll_interval=self._status_poll_interval,
-            application_args=self._application_args,
-            env_vars=self._env_vars,
+            application_args=self.application_args,
+            env_vars=self.env_vars,
             verbose=self._verbose,
             spark_binary=self._spark_binary,
-            properties_file=self._properties_file,
+            properties_file=self.properties_file,
             queue=self._queue,
             deploy_mode=self._deploy_mode,
             use_krb5ccache=self._use_krb5ccache,

tests/providers/apache/spark/operators/test_spark_jdbc.py

@@ -17,6 +17,8 @@
 # under the License.
 from __future__ import annotations
 
+import pytest
+
 from airflow.models.dag import DAG
 from airflow.providers.apache.spark.operators.spark_jdbc import SparkJDBCOperator
 from airflow.utils import timezone
@@ -111,8 +113,8 @@ def test_execute(self):
         assert expected_dict["executor_memory"] == operator._executor_memory
         assert expected_dict["driver_memory"] == operator._driver_memory
         assert expected_dict["verbose"] == operator._verbose
-        assert expected_dict["keytab"] == operator._keytab
-        assert expected_dict["principal"] == operator._principal
+        assert expected_dict["keytab"] == operator.keytab
+        assert expected_dict["principal"] == operator.principal
         assert expected_dict["cmd_type"] == operator._cmd_type
         assert expected_dict["jdbc_table"] == operator._jdbc_table
         assert expected_dict["jdbc_driver"] == operator._jdbc_driver
@@ -128,3 +130,46 @@ def test_execute(self):
         assert expected_dict["upper_bound"] == operator._upper_bound
         assert expected_dict["create_table_column_types"] == operator._create_table_column_types
         assert expected_dict["use_krb5ccache"] == operator._use_krb5ccache
+
+    @pytest.mark.db_test
+    def test_templating_with_create_task_instance_of_operator(self, create_task_instance_of_operator):
+        ti = create_task_instance_of_operator(
+            SparkJDBCOperator,
+            # Templated fields
+            application="{{ 'application' }}",
+            conf="{{ 'conf' }}",
+            files="{{ 'files' }}",
+            py_files="{{ 'py-files' }}",
+            jars="{{ 'jars' }}",
+            driver_class_path="{{ 'driver_class_path' }}",
+            packages="{{ 'packages' }}",
+            exclude_packages="{{ 'exclude_packages' }}",
+            keytab="{{ 'keytab' }}",
+            principal="{{ 'principal' }}",
+            proxy_user="{{ 'proxy_user' }}",
+            name="{{ 'name' }}",
+            application_args="{{ 'application_args' }}",
+            env_vars="{{ 'env_vars' }}",
+            properties_file="{{ 'properties_file' }}",
+            # Other parameters
+            dag_id="test_template_body_templating_dag",
+            task_id="test_template_body_templating_task",
+            execution_date=timezone.datetime(2024, 2, 1, tzinfo=timezone.utc),
+        )
+        ti.render_templates()
+        task: SparkJDBCOperator = ti.task
+        assert task.application == "application"
+        assert task.conf == "conf"
+        assert task.files == "files"
+        assert task.py_files == "py-files"
+        assert task.jars == "jars"
+        assert task.driver_class_path == "driver_class_path"
+        assert task.packages == "packages"
+        assert task.exclude_packages == "exclude_packages"
+        assert task.keytab == "keytab"
+        assert task.principal == "principal"
+        assert task.proxy_user == "proxy_user"
+        assert task.name == "name"
+        assert task.application_args == "application_args"
+        assert task.env_vars == "env_vars"
+        assert task.properties_file == "properties_file"