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Not possible to update in-memory instances of DagBag of all the workers. Right now, the only way (which is also unreliable) is to wait for workers to refresh on their own according to Airflow configs (worker_refresh_batch_size and worker_refresh_interval).
Implement a way to force sync the new DAG in the DagBag
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