to add a feasible nodes cache for same type of pods in same workload about kubernetes

[basuotian]

Does this feature look like equivelance class cache which is removed in v1.23?

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[AxeZhan]

/sig node

[zhifei92]

Which component do you want to implement this functionality in, is it the schdeuler? And If podAffinity is present, the distribution of pods in the deployment will be affected.

[chengjoey]

even through same type of pods in same workload, if set volume or TopologySpreadConstraint, then pass through the filter of plugins such as resource, affinity, feasible nodes should be a big difference

[AxeZhan]

/sig scheduling
Sorry, I didn't look into the details. As your purpose is to accelerating predicate, this belongs to sig-scheduling.

I think I can understand some of what you're trying to do.
For example, if we have a deployment with required nodeAffinity.
Then maybe we can store a affinity->node mapping, and then we can skip preFilter of nodeAffinity plugin for other pods in the same deployment.

However, the maintaining of this cache will also increase the burden on the scheduler, and brings additional complexity to the framework.
If you have implemented this somewhere, then maybe the results of a benchmark will be very convincing.

[lowang-bh]

And If podAffinity is present, the distribution of pods in the deployment will be affected.

all pods in a deployment have same predicate condition, include podAffinity, right？

[lowang-bh]

plugins such as resource, affinity, feasible nodes should be a big difference

Resource should be re-considered, of couse.

[lowang-bh]

However, the maintaining of this cache will also increase the burden on the scheduler, and brings additional complexity to the framework.

Yes, it is a heavy work. I just throw out this question and we can discuss it.

If you have implemented this somewhere, then maybe the results of a benchmark will be very convincing.

Some other schedulers based on kubernetes have this feature.
I will try to run a benchmarck if I can.

[AxeZhan]

Some other schedulers based on kubernetes have this feature.

Can you paste a reference here? :)