Add an example for dynamic task mapping with non-TaskFlow operator

airflow/example_dags/example_dynamic_task_mapping_with_no_taskflow_operators.py

@@ -0,0 +1,62 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""Example DAG demonstrating the usage of dynamic task mapping with non-TaskFlow operators."""
+from __future__ import annotations
+
+from datetime import datetime
+
+from airflow import DAG
+from airflow.models.baseoperator import BaseOperator
+
+
+class AddOneOperator(BaseOperator):
+    """A custom operator that adds one to the input."""
+
+    def __init__(self, value, **kwargs):
+        super().__init__(**kwargs)
+        self.value = value
+
+    def execute(self, context):
+        return self.value + 1
+
+
+class SumItOperator(BaseOperator):
+    """A custom operator that sums the input."""
+
+    template_fields = ("values",)
+
+    def __init__(self, values, **kwargs):
+        super().__init__(**kwargs)
+        self.values = values
+
+    def execute(self, context):
+        total = sum(self.values)
+        print(f"Total was {total}")
+        return total
+
+
+with DAG(
+    dag_id="example_dynamic_task_mapping_with_no_taskflow_operators",
+    start_date=datetime(2022, 3, 4),
+    catchup=False,
+):
+    # map the task to a list of values
+    add_one_task = AddOneOperator.partial(task_id="add_one").expand(value=[1, 2, 3])
+
+    # aggregate (reduce) the mapped tasks results
+    sum_it_task = SumItOperator(task_id="sum_it", values=add_one_task.output)

docs/apache-airflow/authoring-and-scheduling/dynamic-task-mapping.rst

@@ -177,9 +177,8 @@ Mapping with non-TaskFlow operators
 It is possible to use ``partial`` and ``expand`` with classic style operators as well. Some arguments are not mappable and must be passed to ``partial()``, such as ``task_id``, ``queue``, ``pool``, and most other arguments to ``BaseOperator``.
 
 
-.. code-block:: python
-
-    BashOperator.partial(task_id="bash", do_xcom_push=False).expand(bash_command=["echo 1", "echo 2"])
+.. exampleinclude:: /../../airflow/example_dags/example_dynamic_task_mapping_with_no_taskflow_operators.py
+    :language: python
 
 .. note:: Only keyword arguments are allowed to be passed to ``partial()``.
 

tests/serialization/test_dag_serialization.py

@@ -39,6 +39,7 @@
 import airflow
 from airflow.datasets import Dataset
 from airflow.decorators import teardown
+from airflow.decorators.base import DecoratedOperator
 from airflow.exceptions import AirflowException, SerializationError
 from airflow.hooks.base import BaseHook
 from airflow.kubernetes.pod_generator import PodGenerator
@@ -615,7 +616,8 @@ def validate_deserialized_task(
             # data; checking its entirety basically duplicates this validation
             # function, so we just do some satiny checks.
             serialized_task.operator_class["_task_type"] == type(task).__name__
-            serialized_task.operator_class["_operator_name"] == task._operator_name
+            if isinstance(serialized_task.operator_class, DecoratedOperator):
+                serialized_task.operator_class["_operator_name"] == task._operator_name
 
             # Serialization cleans up default values in partial_kwargs, this
             # adds them back to both sides.

tests/www/views/test_views_acl.py

@@ -251,6 +251,7 @@ def test_dag_autocomplete_success(client_all_dags):
     )
     expected = [
         {"name": "airflow", "type": "owner"},
+        {"name": "example_dynamic_task_mapping_with_no_taskflow_operators", "type": "dag"},
         {"name": "example_setup_teardown_taskflow", "type": "dag"},
         {"name": "test_mapped_taskflow", "type": "dag"},
         {"name": "tutorial_taskflow_api", "type": "dag"},