分布式调度框架。
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# Licensed to the Apache Software Foundation (ASF) under one
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# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
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# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
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# software distributed under the License is distributed on an
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# under the License.
r"""
A example workflow for task condition.
This example will create five task in single workflow, with four shell task and one condition task. Task
condition have one upstream which we declare explicit with syntax `parent >> condition`, and three downstream
automatically set dependence by condition task by passing parameter `condition`. The graph of this workflow
like:
pre_task_1 -> -> success_branch
\ /
pre_task_2 -> -> conditions ->
/ \
pre_task_3 -> -> fail_branch
.
"""
from pydolphinscheduler.core.process_definition import ProcessDefinition
from pydolphinscheduler.tasks.condition import FAILURE, SUCCESS, And, Conditions
from pydolphinscheduler.tasks.shell import Shell
with ProcessDefinition(name="task_conditions_example_1", tenant="tenant_exists") as pd:
pre_task_1 = Shell(name="pre_task_1", command="echo pre_task_1")
pre_task_2 = Shell(name="pre_task_2", command="echo pre_task_2")
pre_task_3 = Shell(name="pre_task_3", command="echo pre_task_3")
cond_operator = And(
And(
SUCCESS(pre_task_1, pre_task_2),
FAILURE(pre_task_3),
),
)
success_branch = Shell(name="success_branch", command="success_branch parent")
fail_branch = Shell(name="fail_branch", command="echo fail_branch")
condition = Conditions(
name="conditions",
condition=cond_operator,
success_task=success_branch,
failed_task=fail_branch,
)
pd.submit()