In particular, we should not assume ControllerRefs are necessarily set.
However, we can still use ControllerRefs that do exist to avoid
interfering with controllers that do use it.
This effectively reverts the client-side changes in
cec3899b96.
We have to maintain the old behavior on the client side to support
version skew when talking to old servers that set the annotation.
However, the new server-side behavior is still to NOT set the
annotation.
When the upgrade test operates on Deployments in a pre-1.6 cluster
(i.e. during the Setup phase), it needs to use the v1.5 deployment/util
logic. In particular, the v1.5 logic does not filter children to only
those with a matching ControllerRef.
The list functions in deployment/util are used outside the Deployment
controller itself. Therefore, they don't do actual adoption/orphaning.
However, they still need to avoid listing things that don't belong.
Automatic merge from submit-queue (batch tested with PRs 31783, 41988, 42535, 42572, 41870)
controller: ensure deployment rollback is re-entrant
Make rollbacks re-entrant in the Deployment controller, otherwise
fast enqueues of a Deployment may end up in undesired behavior
- redundant rollbacks.
Fixes https://github.com/kubernetes/kubernetes/issues/36703
@kubernetes/sig-apps-bugs
Make rollbacks re-entrant in the Deployment controller, otherwise
fast enqueues of a Deployment may end up in undesired behavior
- redundant rollbacks.
Automatic merge from submit-queue
kubectl: respect deployment strategy parameters for rollout status
Fixes https://github.com/kubernetes/kubernetes/issues/40496
`rollout status` now respects the strategy parameters for a RollingUpdate Deployment. This means that it will exit as soon as minimum availability is reached for a rollout (note that if you allow maximum availability, `rollout status` will succeed as soon as the new pods are created)
@janetkuo @AdoHe ptal
Automatic merge from submit-queue
Updated unit tests
@janetkuo updated the flaky unit test to have the same structure with regard to uncasting as the rest of the tests. ptal
Automatic merge from submit-queue (batch tested with PRs 38377, 36365, 36648, 37691, 38339)
controller: sync stuck deployments in a secondary queue
@kubernetes/deployment this makes Deployments not depend on a tight resync interval in order to estimate progress.
Automatic merge from submit-queue
Update how we detect overlapping deployments
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**Special notes for your reviewer**: cc @kubernetes/deployment
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When looking for overlapping deployments, we should also find other deployments that select current deployment's pods,
not just the ones whose pods are selected by current deployment.
This commit adds support for failing deployments based on a timeout
parameter defined in the spec. If there is no progress for the amount
of time defined as progressDeadlineSeconds then the deployment will be
marked as failed by adding a condition with a ProgressDeadlineExceeded
reason in it. Progress in the context of a deployment means the creation
or adoption of a new replica set, scaling up new pods, and scaling down
old pods.
When looking for overlapping deployments, we should also find other deployments that select current deployment's pods,
not just the ones whose pods are selected by current deployment.
* Estimate available pods for a deployment by using minReadySeconds on
the replica set.
* Stop requeueing deployments on pod events, superseded by following the
replica set status.
* Cleanup redundant deployment utilities
Automatic merge from submit-queue
Revert "Error out when any RS has more available pods then its spec r…
Reverts https://github.com/kubernetes/kubernetes/pull/29808
The PR is wrong because we can have more available pods than desired every time we scale down.
@kubernetes/deployment ptal
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
Changes:
* moved waiting for synced caches before starting any work
* refactored worker() to really quit on quit
* changed queue to a ratelimiting queue and added retries on errors
* deep-copy deployments before mutating - we still need to deep-copy
replica sets and pods
