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如果用koordinator yarn跑实时流计算作业,怎么让流计算任务不被驱逐。目前观察到nm的pod里面有个koordinator.sh/qosClass: BE的配置,另一个是slo-controller-config的host-application-config里面有个qos为BE的配置,这两种有什么区别,怎样做才能满足koordinator yarn跑实时流计算作业不被驱逐?
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如开源例会讨论,YANR stream/batch混在一起和k8s混部,这种是不支持的;YARN stream单独和K8s部署不建议通过混部模式。 https://alidocs.dingtalk.com/document/edit?dontjump=true&type=d&dentryKey=paP7wO3nXFnLzMAa&docKey=oJGq769vBG4WnAKe
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如果用koordinator yarn跑实时流计算作业,怎么让流计算任务不被驱逐。目前观察到nm的pod里面有个koordinator.sh/qosClass: BE的配置,另一个是slo-controller-config的host-application-config里面有个qos为BE的配置,这两种有什么区别,怎样做才能满足koordinator yarn跑实时流计算作业不被驱逐?
What happened:
What you expected to happen:
Environment:
Anything else we need to know:
The text was updated successfully, but these errors were encountered: