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Set deserialization cache size based on target memory usage #34000
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// target memory usage. | ||
glog.V(2).Infof("Initalizing deserialization cache size based on %dMB limit", s.TargetRAMMB) | ||
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// This is the heuristics that from memory capacity is trying to infer |
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FYI - This is pretty-much copy from:
https://github.com/kubernetes/kubernetes/blob/master/pkg/registry/cachesize/cachesize.go#L75
Jenkins GCI GCE e2e failed for commit 7852734. Full PR test history. The magic incantation to run this job again is |
DeserializationCacheSize: DefaultDeserializationCacheSize, | ||
// Default cache size to 0 - if unset, its size will be set based on target | ||
// memory usage. | ||
DeserializationCacheSize: 0, |
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This will break federation apiserver if they use this cache?
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Fixed.
// on that value. | ||
// From our documentation, we officially recomment 120GB machines for | ||
// 2000 nodes, and we scale from that point. Thus we assume ~60MB of | ||
// capacity per node. |
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our max object size is 900kb, IIRC. I would suggest an alternate heuristic, which is to decide e.g. 1/3 of this memory will be used for the deserialization cache, and then divide by the max object size to see how big the cache should be.
(It would of course be better to just actually measure the collective sizes of the objects in the cache but that's much much harder. A TODO mentioning this might be good.)
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I also considered it (when thinking about it for the sizes of caches in "Cacher"), but decided that it's not the best option for now. First of all, because the target memory is not super accurate now (it actually is more-or-less target memory for all components on master machine). Second, because it will result in waaaaay bigger memory usage for larger clusters, which is also not very good in my opinion.
So I would prefer to leave it as is (especially since we want to cherrypick) and probably solve it better later (for 1.5 maybe?). [Though I extended the TODO so that it contains what you basically wrote].
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OK, I think we should probably reconsider in the future (it would be good to explicitly set how much memory is allowed for this, so admins get predictable usage) but I guess this is still a big improvement, so I won't block it over this.
shouldn't this have a release note for the changelog for 1.4.1 |
I updated the release note in the OP |
thanks! |
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@@ -82,6 +82,10 @@ func Run(s *options.ServerRunOptions) error { | |||
// TODO: register cluster federation resources here. | |||
resourceConfig := genericapiserver.NewResourceConfig() | |||
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if s.StorageConfig.DeserializationCacheSize == 0 { | |||
// When size of cache is not explicitly set, set it to 50000 | |||
s.StorageConfig.DeserializationCacheSize = 50000 |
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@quinton-hoole @nikhiljindal how much memory do you expect federation apiserver to consume?
/lgtm |
@k8s-bot test this [submit-queue is verifying that this PR is safe to merge] |
Automatic merge from submit-queue |
@wojtek-t does this need a cherrypick PR to 1.4 |
thanks! |
…00-upstream-release-1.4 Automatic merge from submit-queue Cherrypick: Set deserialization cache size based on target memory usage Cherrypick of #34000 **Release note**: ```release-note To reduce memory usage to reasonable levels in smaller clusters, kube-apiserver now sets the deserialization cache size based on the target memory usage. ``` @lavalamp - FYI
Commit found in the "release-1.4" branch appears to be this PR. Removing the "cherrypick-candidate" label. If this is an error find help to get your PR picked. |
…ck-of-#34000-upstream-release-1.4 Automatic merge from submit-queue Cherrypick: Set deserialization cache size based on target memory usage Cherrypick of kubernetes#34000 **Release note**: ```release-note To reduce memory usage to reasonable levels in smaller clusters, kube-apiserver now sets the deserialization cache size based on the target memory usage. ``` @lavalamp - FYI
Special notes for your reviewer:
This is the PR we talked about yesterday.
Release note:
This change is