分布式调度框架。
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.
 
 
 
 
 
 

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