[jira] [Created] (FLINK-24093) Supports setting the percentage of kubernetes Request resources

["liuzhuo (Jira)" <ji...@apache.org>]

liuzhuo created FLINK-24093:
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             Summary: Supports setting the percentage of kubernetes Request resources
                 Key: FLINK-24093
                 URL: https://issues.apache.org/jira/browse/FLINK-24093
             Project: Flink
          Issue Type: Improvement
          Components: Deployment / Kubernetes
            Reporter: liuzhuo


For the current native Kubernetes, we start the job  to apply for resources (CPU,Memory) of the same *limit* and *request*, so as to achieve the best performance. However, in general, when the kubernetes cluster resources are used up by request allocation, In fact, there are still some physical resources left. If there is a way to reduce the number of requests per job, more jobs can be run and the resource utilization of the cluster can be improved.

Here are some simple configurations to scale down the value of request:

 
{code:java}
kubernetes.cpu.request.percent 
kubernetes.mem.request.percent


{code}
 

*kubernetes.mem.request.percent*： the default value is 1.0, the effective range of 0.0 to 1.0, the meaning of this value is: If the value is 0.5 and the total memory of taskmanager/jobmanager is 2048MB, the value of request is 2048MB*0.5=1024MB. That is, if the remaining memory of nodes is larger than 1024MB, pods can be allocated to run

*kubernetes.cpu.request.percent：*the default value is 1.0, the effective range of 0.0 to 1.0, the meaning of this value is: If the value is 0.5 and the number of cpus requested by TaskManager/JobManager is 1, the value of request is 1 x 0.5=0.5, that is, the remaining CPU usage of Nodes is greater than 0.5 to allocate pods to run



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