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55 lines
2.3 KiB
55 lines
2.3 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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""" |
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This example show you how to create workflows in batch mode. |
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After this example run, we will create 10 workflows named `workflow:<workflow_num>`, and with 3 tasks |
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named `task:<task_num>-workflow:<workflow_num>` in each workflow. Task shape as below |
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task:1-workflow:1 -> task:2-workflow:1 -> task:3-workflow:1 |
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Each workflow is linear since we set `IS_CHAIN=True`, you could change task to parallel by set it to `False`. |
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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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NUM_WORKFLOWS = 10 |
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NUM_TASKS = 5 |
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# Make sure your tenant exists in your operator system |
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TENANT = "exists_tenant" |
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# Whether task should dependent on pre one or not |
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# False will create workflow with independent task, while True task will dependent on pre-task and dependence |
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# link like `pre_task -> current_task -> next_task`, default True |
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IS_CHAIN = True |
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for wf in range(0, NUM_WORKFLOWS): |
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workflow_name = f"workflow:{wf}" |
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with ProcessDefinition(name=workflow_name, tenant=TENANT) as pd: |
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for t in range(0, NUM_TASKS): |
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task_name = f"task:{t}-{workflow_name}" |
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command = f"echo This is task {task_name}" |
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task = Shell(name=task_name, command=command) |
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if IS_CHAIN and t > 0: |
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pre_task_name = f"task:{t-1}-{workflow_name}" |
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pd.get_one_task_by_name(pre_task_name) >> task |
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# We just submit workflow and task definition without set schedule time or run it manually |
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pd.submit()
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