Automatic merge from submit-queue (batch tested with PRs 61644, 61624, 61743, 61019, 61287). If you want to cherry-pick this change to another branch, please follow the instructions <a href="https://github.com/kubernetes/community/blob/master/contributors/devel/cherry-picks.md">here</a>. Added e2e test for local-volume provisioner that does not create PV for discovered non-bind-mounted filesystem. **What this PR does / why we need it**: For v2+ of the [local volume provisioner](https://github.com/kubernetes-incubator/external-storage/tree/master/local-volume) non-bind mounted filesystems in a discovery directory will no longer result in local PVs. This change was put in place to handle the non-atomic nature of other methods of adding directories (e.g. https://github.com/kubernetes-incubator/external-storage/issues/482). This PR tests this change in behavior, and it validates that non-bind mounted directories within a discovery directory do NOT result in a local PV. **Which issue(s) this PR fixes**: Fixes https://github.com/kubernetes/kubernetes/issues/61020 **Special notes for your reviewer**: This test can be executed using the following commands: ``` KUBE_FEATURE_GATES="BlockVolume=true" NUM_NODES=1 go run hack/e2e.go -- --up go run hack/e2e.go -- --test --test_args='--ginkgo.focus=PersistentVolumes-local.*Local.*volume.*provisioner' ``` If you get the logs from a local volume provisioner pod, you will see the following log messages: ``` $ kubectl logs local-volume-provisioner-94ddb -n e2e-tests-persistent-local-volumes-test-6ls4z <snip> I0311 19:01:30.350504 1 controller.go:73] Controller started E0311 19:01:30.350849 1 discovery.go:172] Path "/mnt/local-storage/notbindmount" is not an actual mountpoint ``` **Release note**: ```release-note NONE ``` |
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WORKSPACE |
Kubernetes

Kubernetes is an open source system for managing containerized applications across multiple hosts; providing basic mechanisms for deployment, maintenance, and scaling of applications.
Kubernetes builds upon a decade and a half of experience at Google running production workloads at scale using a system called Borg, combined with best-of-breed ideas and practices from the community.
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