You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
52 lines
1.9 KiB
52 lines
1.9 KiB
# 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. |
|
|
|
r""" |
|
A tutorial example take you to experience pydolphinscheduler. |
|
|
|
After tutorial.py file submit to Apache DolphinScheduler server a DAG would be create, |
|
and workflow DAG graph as below: |
|
|
|
--> task_child_one |
|
/ \ |
|
task_parent --> --> task_union |
|
\ / |
|
--> task_child_two |
|
|
|
it will instantiate and run all the task it have. |
|
""" |
|
|
|
from pydolphinscheduler.core.process_definition import ProcessDefinition |
|
from pydolphinscheduler.tasks.shell import Shell |
|
|
|
with ProcessDefinition( |
|
name="tutorial", |
|
schedule="0 0 0 * * ? *", |
|
start_time="2021-01-01", |
|
tenant="tenant_exists", |
|
) as pd: |
|
task_parent = Shell(name="task_parent", command="echo hello pydolphinscheduler") |
|
task_child_one = Shell(name="task_child_one", command="echo 'child one'") |
|
task_child_two = Shell(name="task_child_two", command="echo 'child two'") |
|
task_union = Shell(name="task_union", command="echo union") |
|
|
|
task_group = [task_child_one, task_child_two] |
|
task_parent.set_downstream(task_group) |
|
|
|
task_union << task_group |
|
|
|
pd.run()
|
|
|