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48 lines
1.7 KiB
48 lines
1.7 KiB
# Licensed to the Apache Software Foundation (ASF) under one |
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# or more contributor license agreements. See the NOTICE file |
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# distributed with this work for additional information |
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# regarding copyright ownership. The ASF licenses this file |
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# to you under the Apache License, Version 2.0 (the |
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# "License"); you may not use this file except in compliance |
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# with the License. You may obtain a copy of the License at |
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# |
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# http://www.apache.org/licenses/LICENSE-2.0 |
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# |
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# Unless required by applicable law or agreed to in writing, |
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# software distributed under the License is distributed on an |
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
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# KIND, either express or implied. See the License for the |
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# specific language governing permissions and limitations |
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# under the License. |
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r""" |
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A tutorial example take you to experience pydolphinscheduler. |
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After tutorial.py file submit to Apache DolphinScheduler server a DAG would be create, |
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and workflow DAG graph as below: |
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--> task_child_one |
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/ \ |
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task_parent --> --> task_union |
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\ / |
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--> task_child_two |
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it will instantiate and run all the task it have. |
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""" |
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from pydolphinscheduler.core.process_definition import ProcessDefinition |
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from pydolphinscheduler.tasks.shell import Shell |
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with ProcessDefinition( |
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name="aklsfkkalsfjkol", |
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tenant="tenant_exists", |
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) as pd: |
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task_child_one = Shell(name="task_child_one", command="echo 'child one'") |
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task_child_two = Shell(name="task_child_two", command="echo 'child two'") |
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task_union = Shell(name="task_union", command="echo union") |
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task_group = [task_child_one, task_child_two] |
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task_union << task_group |
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pd.run()
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