* fix pods tracking and internal error checking in statefulset tests
* fix stateful set pod recreation and event spam
- do not emit events when pod reaches terminal phase
- do not try to recreate pod until the old pod has been removed from
etcd storage
* fix conflict race in statefulset rest update
statefulset controller does less requests per sync now and thus can
reconcile status faster, thus resulting in a higher chance for conflicts
In the long term, the complex defer function makes the code harder to
maintain as code after it should take that into account. This removes
the complex defer function updating the status of a statefulset.
The StatefulSet controller cleans up ControllerRevisions at the end of
the reconcile loop. If something goes wrong during reconcile, it bails
out without actually performing this step. This commit moves the cleanup
to a deferred function call to guarantee it will be executed.
Fixes issue: https://github.com/kubernetes/kubernetes/issues/85690
- Move from the old github.com/golang/glog to k8s.io/klog
- klog as explicit InitFlags() so we add them as necessary
- we update the other repositories that we vendor that made a similar
change from glog to klog
* github.com/kubernetes/repo-infra
* k8s.io/gengo/
* k8s.io/kube-openapi/
* github.com/google/cadvisor
- Entirely remove all references to glog
- Fix some tests by explicit InitFlags in their init() methods
Change-Id: I92db545ff36fcec83afe98f550c9e630098b3135
Implements history utilities for ControllerRevision in the controller/history package
StatefulSetStatus now has additional fields for consistency with DaemonSet and Deployment
StatefulSetStatus.Replicas now represents the current number of createdPods and StatefulSetStatus.ReadyReplicas is the current number of ready Pods
The alpha field podManagementPolicy defines how pods are created,
deleted, and replaced. The new `Parallel` policy will replace pods
as fast as possible, not waiting for the pod to be `Ready` or providing
an order. This allows for advanced clustered software to take advantage
of rapid changes in scale.
