[GitHub] hugoprudente commented on a change in pull request #4231: [AIRFLOW-3066] Adding support for AWS Batch parameters

[GitBox <gi...@apache.org>]

hugoprudente commented on a change in pull request #4231: [AIRFLOW-3066] Adding support for AWS Batch parameters
URL: https://github.com/apache/incubator-airflow/pull/4231#discussion_r238298730
 
 

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 File path: airflow/contrib/example_dags/example_awsbatch_operator.py
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 @@ -0,0 +1,95 @@
+# -*- coding: utf-8 -*-
+#
+# 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 andf limitations
+# under the License.
+
+import airflow
+from airflow.utils.log.logging_mixin import LoggingMixin
+from airflow.models import DAG
+from datetime import timedelta
+
+log = LoggingMixin().log
+
+try:
+    # AWS Batch is optional, so not available in vanilla Airflow
+    # pip install apache-airflow[boto3]
+    from airflow.contrib.operators.awsbatch_operator import AWSBatchOperator
+
+    default_args = {
+        'owner': 'airflow',
+        'depends_on_past': False,
+        'start_date': airflow.utils.dates.days_ago(2),
+        'email': ['airflow@airflow.com'],
+        'email_on_failure': False,
+        'email_on_retry': False,
+        'retries': 1,
+        'retry_delay': timedelta(minutes=5),
+    }
+
+    dag = DAG(
+        'example_awsbatch_dag', default_args=default_args, schedule_interval=timedelta(1))
+
+    # vanilla example
+    t0 = AWSBatchOperator(
+        task_id='airflow-vanilla',
+        job_name='airflow-vanilla',
+        job_queue='airflow',
+        job_definition='airflow',
+        overrides={},
+        queue='airflow',
+        dag=dag)
+
+    # overrides example
+    t1 = AWSBatchOperator(
+        job_name='airflow-overrides',
+        task_id='airflow-overrides',
+        job_queue='airflow',
+        job_definition='airflow',
+        overrides={
+            "command": [
+                "echo",
+                "overrides"
+            ]
+        },
+        queue='airflow',
+        dag=dag)
+
+    # parameters example
+    t2 = AWSBatchOperator(
+        job_name='airflow-parameters',
+        task_id='airflow-parameters',
+        job_queue='airflow',
+        job_definition='airflow',
+        overrides={
+            "command": [
+                "echo",
+                "Ref::input"
+            ]
+        },
+        parameters={
+            "input": "Airflow2000"
+        },
+        queue='airflow',
+        dag=dag)
+
+    t0.set_upstream(t1)
 
 Review comment:
   Yes, I'll make the update!

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