我在过去使用过Joblib和Airflow,没有遇到过这个问题。我正在尝试通过Airflow运行一个作业,该作业使用Joblib进行并行计算。当Airflow作业启动时,我看到以下警告
UserWarning: Loky-backed parallel loops cannot be called in multiprocessing, setting n_jobs=1
追根溯源,我在LokyBackend类( MultiprocessingBackend类中也有类似的逻辑)的joblib包中看到以下函数触发。
def effective_n_jobs(self, n_jobs):
"""Determine the number of jobs which are going to run in parallel"""
if n_jobs == 0:
raise ValueError('n_jobs == 0 in Parallel has no meaning')
elif mp is None or n_jobs is None:
# multiprocessing is not available or disabled, fallback
# to sequential mode
return 1
elif mp.current_process().daemon:
# Daemonic processes cannot have children
if n_jobs != 1:
warnings.warn(
'Loky-backed parallel loops cannot be called in a'
' multiprocessing, setting n_jobs=1',
stacklevel=3)
return 1
问题是,我之前在Joblib和Airflow中运行过类似的函数,并没有触发这个条件来将n_jobs
设置为1。我想知道这是不是某种版本问题(使用Airflow 2.X和Joblib 1.X),或者Airflow中是否有可以修复这个问题的设置。我查看了Joblib的旧版本,甚至降级到了Joblib 0.4.0,但这并没有解决任何问题。由于API、数据库连接等方面的差异,我对是否降级Airflow更加犹豫。
编辑:
下面是我在Airflow中运行的代码:
def test_parallel():
out=joblib.Parallel(n_jobs=-1, backend="loky")(joblib.delayed(lambda a: a+1)(i) for i in range(20))
with DAG("test", default_args=DEFAULT_ARGS, schedule_interval="0 8 * * *",) as test:
run_test = PythonOperator(
task_id="test",
python_callable=test_parallel,
)
run_test
以及气流日志中的输出:
[2021-07-27 10:41:29,890] {logging_mixin.py:104} WARNING - /data01/code/virtualenv/alpha/lib/python3.8/site-packages/joblib/parallel.py:733 UserWarning: Loky-backed parallel loops cannot be called in a multiprocessing, setting n_jobs=1
我通过supervisor
启动airflow scheduler
和airflow webserver
。但是,即使我从命令行启动这两个airflow进程,问题仍然存在。但是,当我仅通过airflow任务API (例如airflow tasks test run_test
)运行任务时,就不会发生这种情况
发布于 2021-09-09 13:42:30
我注意到您没有调用代码底部的run_test
函数。这会是任何问题的原因吗?更正后的版本:
def test_parallel():
out=joblib.Parallel(n_jobs=-1, backend="loky")(joblib.delayed(lambda a: a+1)(i) for i in range(20))
with DAG("test", default_args=DEFAULT_ARGS, schedule_interval="0 8 * * *",) as test:
run_test = PythonOperator(
task_id="test",
python_callable=test_parallel,
)
run_test()
https://stackoverflow.com/questions/68318379
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