AIP-47 - Migrate hive DAGs to new design apache#22439

docs/apache-airflow-providers-apache-hive/index.rst

@@ -39,7 +39,7 @@ Content
     :maxdepth: 1
     :caption: Resources
 
-    Example DAGs <https://github.com/apache/airflow/tree/main/airflow/providers/apache/hive/example_dags>
+    Example DAGs <https://github.com/apache/airflow/tree/main/tests/system/providers/apache/hive>
     PyPI Repository <https://pypi.org/project/apache-airflow-providers-apache-hive/>
     Installing from sources <installing-providers-from-sources>
 

docs/apache-airflow-providers-apache-hive/operators.rst

@@ -27,8 +27,9 @@ HiveOperator
 
 This operator executes hql code or hive script in a specific Hive database.
 
-.. exampleinclude:: /../../airflow/providers/apache/hive/example_dags/example_twitter_dag.py
+.. exampleinclude:: /../../tests/system/providers/apache/hive/example_twitter_dag.py
     :language: python
+    :dedent: 4
     :start-after: [START create_hive]
     :end-before: [END create_hive]
 

tests/system/providers/apache/hive/__init__.py

@@ -0,0 +1,17 @@
+#
+# 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.

airflow/providers/apache/hive/example_dags/example_twitter_dag.py → tests/system/providers/apache/hive/example_twitter_dag.py

@@ -26,13 +26,18 @@
 """
 This is an example dag for managing twitter data.
 """
+
+import os
 from datetime import date, datetime, timedelta
 
 from airflow import DAG
 from airflow.decorators import task
 from airflow.operators.bash import BashOperator
 from airflow.providers.apache.hive.operators.hive import HiveOperator
 
+ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
+DAG_ID = "example_twitter_dag"
+
 
 @task
 def fetch_tweets():
@@ -68,7 +73,7 @@ def transfer_to_db():
 
 
 with DAG(
-    dag_id='example_twitter_dag',
+    dag_id=DAG_ID,
     default_args={
         'owner': 'Ekhtiar',
         'retries': 1,
@@ -145,3 +150,14 @@ def transfer_to_db():
         )
 
         analyze >> load_to_hdfs >> load_to_hive >> hive_to_mysql
+
+    from tests.system.utils.watcher import watcher
+
+    # This test needs watcher in order to properly mark success/failure
+    # when "tearDown" task with trigger rule is part of the DAG
+    list(dag.tasks) >> watcher()
+
+from tests.system.utils import get_test_run  # noqa: E402
+
+# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
+test_run = get_test_run(dag)