分布式调度框架。
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# Licensed to the Apache Software Foundation (ASF) under one
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# to you under the Apache License, Version 2.0 (the
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#
# http://www.apache.org/licenses/LICENSE-2.0
#
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r"""
A example workflow for task dependent.
This example will create two workflows named `task_dependent` and `task_dependent_external`.
`task_dependent` is true workflow define and run task dependent, while `task_dependent_external`
define outside workflow and task from dependent.
After this script submit, we would get workflow as below:
task_dependent_external:
task_1
task_2
task_3
task_dependent:
task_dependent(this task dependent on task_dependent_external.task_1 and task_dependent_external.task_2).
"""
from pydolphinscheduler.constants import ProcessDefinitionDefault
from pydolphinscheduler.core.process_definition import ProcessDefinition
from pydolphinscheduler.tasks.dependent import And, Dependent, DependentItem, Or
from pydolphinscheduler.tasks.shell import Shell
with ProcessDefinition(
name="task_dependent_external",
tenant="tenant_exists",
) as pd:
task_1 = Shell(name="task_1", command="echo task 1")
task_2 = Shell(name="task_2", command="echo task 2")
task_3 = Shell(name="task_3", command="echo task 3")
pd.submit()
with ProcessDefinition(
name="task_dependent_example",
tenant="tenant_exists",
) as pd:
task = Dependent(
name="task_dependent",
dependence=And(
Or(
DependentItem(
project_name=ProcessDefinitionDefault.PROJECT,
process_definition_name="task_dependent_external",
dependent_task_name="task_1",
),
DependentItem(
project_name=ProcessDefinitionDefault.PROJECT,
process_definition_name="task_dependent_external",
dependent_task_name="task_2",
),
)
),
)
pd.submit()