Automatic merge from submit-queue
return destroy func to clean up internal resources of storage
What?
Provide a destroy func to clean up internal resources of storage.
It changes **unit tests** to clean up resources. (Maybe fix integration test in another PR.)
Why?
Although apiserver is designed to be long running, there are some cases that it's not.
See https://github.com/kubernetes/kubernetes/issues/31262#issuecomment-242208771
We need to gracefully shutdown and clean up resources.
1. When overlapping deployments are discovered, annotate them
2. Expose those overlapping annotations as warnings in kubectl describe
3. Only respect the earliest updated one (skip syncing all other overlapping deployments)
4. Use indexer instead of store for deployment lister
Automatic merge from submit-queue
Move new etcd storage (low level storage) into cacher
In an effort for #29888, we are pushing forward this:
What?
- It changes creating etcd storage.Interface impl into creating config
- In creating cacher storage (StorageWithCacher), it passes config created above and new etcd storage inside.
Why?
- We want to expose the information of (etcd) kv client to cacher. Cacher storage uses this information to talk to remote storage.
Here are a list of changes along with an explanation of how they work:
1. Add a new string field called TargetSelector to the external version of
extensions Scale type (extensions/v1beta1.Scale). This is a serialized
version of either the map-based selector (in case of ReplicationControllers)
or the unversioned.LabelSelector struct (in case of Deployments and
ReplicaSets).
2. Change the selector field in the internal Scale type (extensions.Scale) to
unversioned.LabelSelector.
3. Add conversion functions to convert from two external selector fields to a
single internal selector field. The rules for conversion are as follows:
i. If the target resource that this scale targets supports LabelSelector
(Deployments and ReplicaSets), then serialize the LabelSelector and
store the string in the TargetSelector field in the external version
and leave the map-based Selector field as nil.
ii. If the target resource only supports a map-based selector
(ReplicationControllers), then still serialize that selector and
store the serialized string in the TargetSelector field. Also,
set the the Selector map field in the external Scale type.
iii. When converting from external to internal version, parse the
TargetSelector string into LabelSelector struct if the string isn't
empty. If it is empty, then check if the Selector map is set and just
assign that map to the MatchLabels component of the LabelSelector.
iv. When converting from internal to external version, serialize the
LabelSelector and store it in the TargetSelector field. If only
the MatchLabel component is set, then also copy that value to
the Selector map field in the external version.
4. HPA now just converts the LabelSelector field to a Selector interface
type to list the pods.
5. Scale Get and Update etcd methods for Deployments and ReplicaSets now
return extensions.Scale instead of autoscaling.Scale.
6. Consequently, SubresourceGroupVersion override and is "autoscaling"
enabled check is now removed from pkg/master/master.go
7. Other small changes to labels package, fuzzer and LabelSelector
helpers to piece this all together.
8. Add unit tests to HPA targeting Deployments and ReplicaSets.
9. Add an e2e test to HPA targeting ReplicaSets.
Update the Deployments' API types, defaulting code, conversions, helpers
and validation to use ReplicaSets instead of ReplicationControllers and
LabelSelector instead of map[string]string for selectors.
Also update the Deployment controller, registry, kubectl subcommands,
client listers package and e2e tests to use ReplicaSets and
LabelSelector for Deployments.
This commit adds support for paused deployments so a user can choose
when to run a deployment that exists in the system instead of having
the deployment controller automatically reconciling it after every
change or sync interval.
This commit adds support for using kubectl scale to scale deployments. Makes use of the
deployments/scale endpoint instead of updating deployment.spec.replicas directly.
