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Allow different parallelism configuration value for multi-executor environment

apache/airflow#46787·46929·Python·509 天未动·10 条评论·上游最近活跃 ·池内状态:可认领
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上游 issue 正文

### Description We should be able to configure parallelism limit separately for each executor. Or at least for local / k8s pair ### Use case/motivation With the practical `LocalExecutor` <-> `KubernetesExecutor` pair for example we can have tons of tasks running freely in the k8s environment, but we need to limit the local executor to some small value to not overload the scheduler pod. And it's very tedious to run an extra scheduler for k8s environment unleashing. I believe, that for other multiple configurations idea of total parallelism limitation would depend on used executor too. ### Related issues _No response_ ### Are you willing to submit a PR? - [x] Yes I am willing to submit a PR! ### Code of Conduct - [x] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
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