The endpoint controllers responded to Pod changes by trying to figure
out if the generated endpoint resource would change, rather than just
checking if the Pod had changed, but since the set of Pod fields that
need to be checked depend on the Service and Node as well, the code
ended up only checking for a subset of the changes it should have.
In particular, EndpointSliceController ended up only looking at IPv4
Pod IPs when processing Pod update events, so when a Pod went from
having no IP to having only an IPv6 IP, EndpointSliceController would
think it hadn't changed.
We should clean the EndpointsLastChangeTriggerTime annotation when there
is no new trigger time to be exported. Not clearing it may result in
kube-proxy exporting the wrong Network Programming Latency SLI.
The requested Service Protocol is checked against the supported protocols of GCE Internal LB. The supported protocols are TCP and UDP.
SCTP is not supported by OpenStack LBaaS. If SCTP is requested in a Service with type=LoadBalancer, the request is rejected. Comment style is also corrected.
SCTP is not allowed for LoadBalancer Service and for HostPort. Kube-proxy can be configured not to start listening on the host port for SCTP: see the new SCTPUserSpaceNode parameter
changed the vendor github.com/nokia/sctp to github.com/ishidawataru/sctp. I.e. from now on we use the upstream version.
netexec.go compilation fixed. Various test cases fixed
SCTP related conformance tests removed. Netexec's pod definition and Dockerfile are updated to expose the new SCTP port(8082)
SCTP related e2e test cases are removed as the e2e test systems do not support SCTP
sctp related firewall config is removed from cluster/gce/util.sh. Variable name sctp_addr is corrected to sctpAddr in pkg/proxy/ipvs/proxier.go
cluster/gce/util.sh is copied from master
As cited in
https://github.com/kubernetes/dns/issues/174 - this is documented to
work, and I don't see why it shouldn't work. We allowed the definition
of headless services without ports, but apparently nobody tested it very
well.
Manually tested clusterIP services with no ports - validation error.
Manually tested services with negative ports - validation error.
New tests failed, output inspected and verified. Now pass.
Automatic merge from submit-queue. 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>.
Fix a bug that headless service without ports fails to have endpoint created.
**What this PR does / why we need it**:
Follow up of https://github.com/kubernetes/kubernetes/pull/47250. Headless service without ports fails to have corresponding endpoint created because endpoint controller deliberately attaches a dummy endpointPort with portNum=0, which will fail API validation check. Error as below:
```
endpoints_controller.go:375] Error syncing endpoints for service "default/XXX": Endpoints "XXX" is invalid: subsets[0].ports[0].port: Invalid value: 0: must be between 1 and 65535, inclusive
```
This PR makes endpoint controller not attach the dummy endpointPort for headless service.
**Which issue(s) this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close the issue(s) when PR gets merged)*:
Fixes#55158, fixes#62440
**Special notes for your reviewer**:
cc @xiangpengzhao
**Release note**:
```release-note
Fix a bug that headless service without ports fails to have endpoint created.
```
A pod status change of unready -> ready results in a move from
the endpoint's unready endpoint addresses to its ready addresses
so if a pod update contains an unready -> ready status change,
the endpoint needs to be updated.
This substantially reduces the number of API calls made by the endpoint
controller. Currently the controller makes an API call per endpoint for
each service that is synced. When the 30s resync is triggered, this
results in an API call for every single endpoint in the cluster. This
quickly exceeds the default qps/burst limit of 20/30 even in small
clusters, leading to delays in endpoint updates.
This change modifies the controller to use the endpoint informer cache
for all endpoint GETs. This means we only make API calls for changes in
endpoints. As a result, qps only depends on the pod activity in the
cluster, rather than the number of services.
