【发布时间】:2022-02-24 14:52:19
【问题描述】:
我正在尝试编写一个简单的 Python 脚本来在我的 Azure 数据工厂中启动多个触发器。 但是,当我尝试使用 azure SDK 类的 aio 变体时,出现以下错误:
RuntimeError: Task
这是我的脚本的样子:
import asyncio
from azure.identity.aio import DefaultAzureCredential
from azure.mgmt.datafactory.aio import DataFactoryManagementClient
rg_name = "MY_RG_NAME"
adf_name = "MY_ADF_NAME"
subscription_id = "MY_SUBSCRIPTION_ID"
credentials = DefaultAzureCredential()
adf_client = DataFactoryManagementClient(credentials, subscription_id)
async def start_trigger(adf_client: DataFactoryManagementClient, trigger_name: str, resource_group_name=rg_name, factory_name=adf_name):
print(f"Starting trigger {trigger_name}")
await adf_client.triggers.begin_start(resource_group_name=rg_name, factory_name=adf_name, trigger_name=trigger_name)
print(f"Trigger {trigger_name} started")
async def main(adf_client: DataFactoryManagementClient, triggers_to_start: list):
trigger_start_tasks = [
asyncio.create_task(start_trigger(adf_client, trigger))
for trigger in triggers_to_start
]
for trigger_task in (trigger_start_tasks):
await trigger_task
triggers_to_start = [
"Trigger_A",
"Trigger_B",
]
asyncio.run(
main(adf_client, triggers_to_start)
)
当我在开始下一个任务之前等待每个任务时,我的脚本实际上可以工作(但是使用 aio 没有意义......)
提前感谢您的帮助!
【问题讨论】:
标签: python azure azure-data-factory azure-python-sdk