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

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

@@ -32,7 +32,7 @@ Content
     :maxdepth: 1
     :caption: Resources
 
-    Example DAGs <https://github.com/apache/airflow/tree/main/airflow/providers/apache/kylin/example_dags>
+    Example DAGs <https://github.com/apache/airflow/tree/main/tests/system/providers/apache/kylin>
     PyPI Repository <https://pypi.org/project/apache-airflow-providers-apache-kylin/>
     Installing from sources <installing-providers-from-sources>
 

tests/system/providers/apache/kylin/example_kylin_dag.py

@@ -0,0 +1,120 @@
+#
+# 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.
+
+"""
+This is an example DAG which uses the KylinCubeOperator.
+The tasks below include kylin build, refresh, merge operation.
+"""
+
+import os
+from datetime import datetime
+
+from airflow import DAG
+from airflow.providers.apache.kylin.operators.kylin_cube import KylinCubeOperator
+
+ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
+DAG_ID = "example_kylin_operator"
+
+with DAG(
+    dag_id=DAG_ID,
+    schedule_interval=None,
+    start_date=datetime(2021, 1, 1),
+    catchup=False,
+    default_args={'project': 'learn_kylin', 'cube': 'kylin_sales_cube'},
+    tags=['example'],
+) as dag:
+
+    @dag.task
+    def gen_build_time():
+        """
+        Gen build time and push to XCom (with key of "return_value")
+        :return: A dict with build time values.
+        """
+        return {'date_start': '1325347200000', 'date_end': '1325433600000'}
+
+    gen_build_time_task = gen_build_time()
+    gen_build_time_output_date_start = gen_build_time_task['date_start']
+    gen_build_time_output_date_end = gen_build_time_task['date_end']
+
+    build_task1 = KylinCubeOperator(
+        task_id="kylin_build_1",
+        command='build',
+        start_time=gen_build_time_output_date_start,
+        end_time=gen_build_time_output_date_end,
+        is_track_job=True,
+    )
+
+    build_task2 = KylinCubeOperator(
+        task_id="kylin_build_2",
+        command='build',
+        start_time=gen_build_time_output_date_end,
+        end_time='1325520000000',
+        is_track_job=True,
+    )
+
+    refresh_task1 = KylinCubeOperator(
+        task_id="kylin_refresh_1",
+        command='refresh',
+        start_time=gen_build_time_output_date_start,
+        end_time=gen_build_time_output_date_end,
+        is_track_job=True,
+    )
+
+    merge_task = KylinCubeOperator(
+        task_id="kylin_merge",
+        command='merge',
+        start_time=gen_build_time_output_date_start,
+        end_time='1325520000000',
+        is_track_job=True,
+    )
+
+    disable_task = KylinCubeOperator(
+        task_id="kylin_disable",
+        command='disable',
+    )
+
+    purge_task = KylinCubeOperator(
+        task_id="kylin_purge",
+        command='purge',
+    )
+
+    build_task3 = KylinCubeOperator(
+        task_id="kylin_build_3",
+        command='build',
+        start_time=gen_build_time_output_date_end,
+        end_time='1328730000000',
+    )
+
+    build_task1 >> build_task2 >> refresh_task1 >> merge_task >> disable_task >> purge_task >> build_task3
+
+    # Task dependency created via `XComArgs`:
+    #   gen_build_time >> build_task1
+    #   gen_build_time >> build_task2
+    #   gen_build_time >> refresh_task1
+    #   gen_build_time >> merge_task
+    #   gen_build_time >> build_task3
+    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)