tanelk opened a new pull request #19747:
URL: https://github.com/apache/airflow/pull/19747


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   closes #19622
   
   The `scheduler_job` can get stuck in a state, where it is not able to queue 
new tasks. It will get out of this state on its own, but the time taken depends 
on the runtime of current tasks - this could be several hours or even days.
   
   If the scheduler can't queue any tasks because of different concurrency 
limits (per pool, dag or task), then on next iterations of the scheduler loop 
it will try to queue the same tasks. Meanwhile there could be some scheduled 
tasks with lower `priority_weight` that could be queued, but they will remain 
waiting.
   
   The proposed solution is to keep track of dag and task ids, that are 
concurrecy limited and then repeat the query with these dags and tasks filtered 
out.
   
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