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https://issues.apache.org/jira/browse/AIRFLOW-5071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17172902#comment-17172902
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Tomasz Urbaszek commented on AIRFLOW-5071:
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[~antontimenko] I'm running 100 DAGs of the following type:
class TestSensor(BaseSensorOperator):
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.mode = "RESCHEDULE"
def poke(self, context):
return choice([True, False, False])
args = \{"owner": "airflow", "start_date": days_ago(1)}
with DAG(
dag_id="%s",
is_paused_upon_creation=False,
max_active_runs=1,
default_args=args,
schedule_interval="* * * * *",
) as dag:
start = TestSensor(task_id="start")
end = TestSensor(task_id="end")
for i in range(100):
next = TestSensor(task_id=f"next_\{i}")
start >> next >> end
> Thousand os Executor reports task instance X finished (success) although the
> task says its queued. Was the task killed externally?
> ----------------------------------------------------------------------------------------------------------------------------------
>
> Key: AIRFLOW-5071
> URL: https://issues.apache.org/jira/browse/AIRFLOW-5071
> Project: Apache Airflow
> Issue Type: Bug
> Components: DAG, scheduler
> Affects Versions: 1.10.3
> Reporter: msempere
> Priority: Critical
> Fix For: 1.10.12
>
> Attachments: image-2020-01-27-18-10-29-124.png,
> image-2020-07-08-07-58-42-972.png
>
>
> I'm opening this issue because since I update to 1.10.3 I'm seeing thousands
> of daily messages like the following in the logs:
>
> ```
> {{__init__.py:1580}} ERROR - Executor reports task instance <TaskInstance: X
> 2019-07-29 00:00:00+00:00 [queued]> finished (success) although the task says
> its queued. Was the task killed externally?
> {{jobs.py:1484}} ERROR - Executor reports task instance <TaskInstance: X
> 2019-07-29 00:00:00+00:00 [queued]> finished (success) although the task says
> its queued. Was the task killed externally?
> ```
> -And looks like this is triggering also thousand of daily emails because the
> flag to send email in case of failure is set to True.-
> I have Airflow setup to use Celery and Redis as a backend queue service.
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