[feat][python] Add sagemaker yaml example (#11925)

(cherry picked from commit e05f14ba23)

dolphinscheduler-python/pydolphinscheduler/docs/source/tasks/sagemaker.rst

@@ -32,3 +32,15 @@ Dive Into
 ---------
 
 .. automodule:: pydolphinscheduler.tasks.sagemaker
+
+YAML file example
+-----------------
+
+.. literalinclude:: ../../../examples/yaml_define/Sagemaker.yaml
+   :start-after: # under the License.
+   :language: yaml
+
+example_sagemaker_params.json:
+
+.. literalinclude:: ../../../examples/yaml_define/example_sagemaker_params.json
+   :language: json

dolphinscheduler-python/pydolphinscheduler/examples/yaml_define/Sagemaker.yaml

@@ -0,0 +1,28 @@
+# 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.
+
+# Define the workflow
+workflow:
+  name: "Sagemaker"
+  release_state: "offline"
+
+# Define the tasks under the process
+tasks:
+  - name: sagemaker
+    task_type: Sagemaker
+    sagemaker_request_json: $FILE{"example_sagemaker_params.json"}
+

dolphinscheduler-python/pydolphinscheduler/examples/yaml_define/example_sagemaker_params.json

@@ -0,0 +1,18 @@
+{
+    "ParallelismConfiguration":{
+        "MaxParallelExecutionSteps":1
+    },
+    "PipelineExecutionDescription":"run pipeline using ds",
+    "PipelineExecutionDisplayName":"ds-sagemaker-pipeline",
+    "PipelineName":"DsSagemakerPipeline",
+    "PipelineParameters":[
+        {
+            "Name":"InputData",
+            "Value": "s3://sagemaker/dataset/dataset.csv"
+        },
+        {
+            "Name":"InferenceData",
+            "Value": "s3://sagemaker/dataset/inference.csv"
+        }
+    ]
+}