jedcunningham commented on issue #17238:
URL: https://github.com/apache/airflow/issues/17238#issuecomment-890121751
I've tried to replicate this with the following DAG without success:
```
import time
from datetime import datetime
from airflow import DAG
from airflow.operators.dummy import DummyOperator
from airflow.operators.python import PythonOperator
default_args = {"start_date": datetime(2021, 7, 30)}
with DAG("skipped", default_args=default_args, schedule_interval=None) as
dag:
start = DummyOperator(task_id="start")
end = DummyOperator(task_id="end")
for i in range(5):
prev = start
for j in range(3):
t = PythonOperator(
task_id=f"t-{i}-{j}", python_callable=lambda: time.sleep(10)
)
prev >> t
prev = t
t >> end
```
@mgorsk1, any chance you could try in your instance with that DAG? Also,
filtering down to the pod name might be missing an important log message. I'd
try filtering by a unique task_id (if there is one) too.
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