Source code for tests.system.providers.apache.kylin.example_kylin_dag
#
# 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.
"""
from __future__ import annotations
import os
from datetime import datetime
from airflow import DAG
from airflow.providers.apache.kylin.operators.kylin_cube import KylinCubeOperator
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]DAG_ID = "example_kylin_operator"
with DAG(
dag_id=DAG_ID,
schedule=None,
start_date=datetime(2021, 1, 1),
catchup=False,
default_args={"project": "learn_kylin", "cube": "kylin_sales_cube"},
tags=["example"],
) as dag:
@dag.task
[docs] 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)
[docs]test_run = get_test_run(dag)