[英]Airflow 1.9.0 ExternalTaskSensor retry_delay=30 yields TypeError: can't pickle _thread.RLock objects
如標題所述; 在Airflow 1.9.0中,如果您對ExternalTaskSensor使用retry_delay = 30(或任何其他數字)參數,則DAG運行得很好,直到您想在氣流GUI中清除任務實例->它將返回以下錯誤:“ TypeError:不能腌制_thread.RLock對象”(和一個不錯的消息),但是,如果您使用retry_delay = timedelta(seconds = 30),則清除任務實例效果很好。
如果我查看models.py方法,則Deepcopy應該很好,所以對我來說似乎是奇怪的行為。 我是否缺少某些東西,或者這是一個錯誤?
在下面,您可以找到一個最小的DAG示例。
from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.sensors import ExternalTaskSensor
from datetime import datetime, timedelta
dag_name = 'soft_fail_example'
schedule_interval = "0 * * * *"
default_args = {
'owner': 'airflow',
'depends_on_past': False,
'start_date': datetime(2018, 1, 1),
'email': [],
'email_on_failure': False,
'email_on_retry': False
}
test_dag = DAG(dag_name, default_args=default_args, schedule_interval=schedule_interval,
catchup=False, max_active_runs=1)
ets = ExternalTaskSensor(task_id="test_external_task_sensor", dag=test_dag, soft_fail=False,
timeout=10, retries=0, poke_interval=1, retry_delay=30, external_dag_id="dependent_dag_id",
external_task_id="dependent_task_id")
dummy_task = DummyOperator(task_id="collection_task", dag=test_dag)
dummy_task << ets
編輯:並根據要求的堆棧跟蹤:
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-------------------------------------------------------------------------------
Node: jb-VirtualBox
-------------------------------------------------------------------------------
Traceback (most recent call last):
File "/home/jb/Documents/p3_cdc_data_flow/lib/python3.6/site-packages/flask/app.py", line 1988, in wsgi_app
response = self.full_dispatch_request()
File "/home/jb/Documents/p3_cdc_data_flow/lib/python3.6/site-packages/flask/app.py", line 1641, in full_dispatch_request
rv = self.handle_user_exception(e)
File "/home/jb/Documents/p3_cdc_data_flow/lib/python3.6/site-packages/flask/app.py", line 1544, in handle_user_exception
reraise(exc_type, exc_value, tb)
File "/home/jb/Documents/p3_cdc_data_flow/lib/python3.6/site-packages/flask/_compat.py", line 33, in reraise
raise value
File "/home/jb/Documents/p3_cdc_data_flow/lib/python3.6/site-packages/flask/app.py", line 1639, in full_dispatch_request
rv = self.dispatch_request()
File "/home/jb/Documents/p3_cdc_data_flow/lib/python3.6/site-packages/flask/app.py", line 1625, in dispatch_request
return self.view_functions[rule.endpoint](**req.view_args)
File "/home/jb/Documents/p3_cdc_data_flow/lib/python3.6/site-packages/flask_admin/base.py", line 69, in inner
return self._run_view(f, *args, **kwargs)
File "/home/jb/Documents/p3_cdc_data_flow/lib/python3.6/site-packages/flask_admin/base.py", line 368, in _run_view
return fn(self, *args, **kwargs)
File "/home/jb/Documents/p3_cdc_data_flow/lib/python3.6/site-packages/flask_login.py", line 755, in decorated_view
return func(*args, **kwargs)
File "/home/jb/Documents/p3_cdc_data_flow/lib/python3.6/site-packages/airflow/www/utils.py", line 262, in wrapper
return f(*args, **kwargs)
File "/home/jb/Documents/p3_cdc_data_flow/lib/python3.6/site-packages/airflow/www/utils.py", line 309, in wrapper
return f(*args, **kwargs)
File "/home/jb/Documents/p3_cdc_data_flow/lib/python3.6/site-packages/airflow/www/views.py", line 989, in clear
include_upstream=upstream)
File "/home/jb/Documents/p3_cdc_data_flow/lib/python3.6/site-packages/airflow/models.py", line 3527, in sub_dag
dag = copy.deepcopy(self)
File "/usr/lib/python3.6/copy.py", line 161, in deepcopy
y = copier(memo)
File "/home/jb/Documents/p3_cdc_data_flow/lib/python3.6/site-packages/airflow/models.py", line 3512, in __deepcopy__
setattr(result, k, copy.deepcopy(v, memo))
File "/usr/lib/python3.6/copy.py", line 150, in deepcopy
y = copier(x, memo)
File "/usr/lib/python3.6/copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/usr/lib/python3.6/copy.py", line 161, in deepcopy
y = copier(memo)
File "/home/jb/Documents/p3_cdc_data_flow/lib/python3.6/site-packages/airflow/models.py", line 2437, in __deepcopy__
setattr(result, k, copy.deepcopy(v, memo))
File "/usr/lib/python3.6/copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/usr/lib/python3.6/copy.py", line 280, in _reconstruct
state = deepcopy(state, memo)
File "/usr/lib/python3.6/copy.py", line 150, in deepcopy
y = copier(x, memo)
File "/usr/lib/python3.6/copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/usr/lib/python3.6/copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/usr/lib/python3.6/copy.py", line 280, in _reconstruct
state = deepcopy(state, memo)
File "/usr/lib/python3.6/copy.py", line 150, in deepcopy
y = copier(x, memo)
File "/usr/lib/python3.6/copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/usr/lib/python3.6/copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/usr/lib/python3.6/copy.py", line 280, in _reconstruct
state = deepcopy(state, memo)
File "/usr/lib/python3.6/copy.py", line 150, in deepcopy
y = copier(x, memo)
File "/usr/lib/python3.6/copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/usr/lib/python3.6/copy.py", line 150, in deepcopy
y = copier(x, memo)
File "/usr/lib/python3.6/copy.py", line 215, in _deepcopy_list
append(deepcopy(a, memo))
File "/usr/lib/python3.6/copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/usr/lib/python3.6/copy.py", line 280, in _reconstruct
state = deepcopy(state, memo)
File "/usr/lib/python3.6/copy.py", line 150, in deepcopy
y = copier(x, memo)
File "/usr/lib/python3.6/copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/usr/lib/python3.6/copy.py", line 169, in deepcopy
rv = reductor(4)
TypeError: can't pickle _thread.RLock objects
再次查看此問題后,文檔明確指出retry_delay應該是一個timedelta。 因此,很幸運的是,如果您為retry_delay輸入一個整數而不是一個timedelta,那么DAG可以工作。
在models.py中,BaseOperator:
:param retry_delay: delay between retries
:type retry_delay: timedelta
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