Hi,
we have a SubdagOperator with lots of tasks in it. We want to limit the
parallelism, with which these tasks execute. Therefore we created a pool
and added the tasks within the SubdagOperator to this pool.
However, this setting is not respected (see image attached).
Now we am wondering why that is. In 'subdag_operator.py' on the master
branch there is a comment that
"Airflow pool is not honored by SubDagOperator."
This comment is not in the file in v1.9.0 (which I am using).
So this means that Pools are not respected for Subdags?
On the other handside it states that Subdags use the SequentialExecutor,
which *should* execute tasks sequentially?
Can anyone clarify this, please?
And if pools do not work, what options do we have to limit parallelism
in a Subdag?
Thanks in advance,
Andreas
