Presumably
https://github.com/kubernetes/kubernetes/pull/127260/files#r2405215911
was meant to continue polling after a watch was closed by the apiserver.
This is something that can happen under load.
However, returning the error has the effect that polling stops.
This can be seen as test failures when testing with race
detection enabled:
persistent_volumes_test.go:1101: Failed to wait for all claims to be bound: watch closed
Writes to policy resources don't instantaneously take effect in admission. ValidatingAdmissionPolicy
integration tests determine that the policies under test have taken effect by adding a sentinel
policy rule and polling until that rule is applied to a request.
If the marker resource names are the same for each test case in a series of test cases, then
observing a policy's effect on a marker request only indicates that _any_ test policy is in effect,
but it's not necessarily the policy the current test case is waiting for. For example:
1. Test 1 creates a policy and binding.
2. The policy and binding are observed by the admission plugin and take effect.
3. Test 1 observes that a policy is in effect via marker requests.
4. Test 1 exercises the behavior under test and successfully deletes the policy and binding it
created.
5. Test 2 creates a policy and binding.
6. Test 2 observes that a policy is in effect via marker requests, but the policy in effect is still
the one created by Test 1.
7. Test 2 exercises the behavior under test, which fails because it was evaluated against Test 1's
policy.
Generating a per-policy name for the marker resource in each test resolves the timing issue. In the
example, step (6) will not proceed until the admission plugin has observed the policy and binding
created in (5).
Once received job deletion event, it cleans the backoff records for that
job before enqueueing this job so that we can avoid a race condition
that the syncJob() may incorrect use stale backoff records for a newly created
job with same key.
Co-authored-by: Michal Wozniak <michalwozniak@google.com>
This change modifies the validation logic for ServiceCIDR updates
(`ValidateServiceCIDRUpdate`) to specifically permit upgrading a
single-stack ServiceCIDR (either IPv4 or IPv6) to a dual-stack
configuration.
This reconfiguration path is considered safe because it only involves adding
a new CIDR range without altering the existing primary CIDR. This
ensures that existing Service IP allocations are not disrupted.
Other modifications, such as:
- Downgrading from dual-stack to single-stack
- Reordering CIDRs in a dual-stack configuration
- Changing the primary CIDR during a single-to-dual-stack
reconfiguration
remain disallowed by the validation. These operations carry a higher
risk of breaking existing Services or cluster networking
configurations. Preventing these updates automatically encourages
administrators to perform such changes manually after carefully
assessing the potential impact on their specific cluster environment.
The validation errors and controller logs provide guidance when such
disallowed changes are attempted.
Change-Id: I41dc09dfddb05f277925da2262f8114d6accbd1d
Split out a helper to assert correct EndpointSlice hints (and extend
that helper to deal with node hints as well, including making sure
they *aren't* present when the traffic distribution mode doesn't call
for them).
This change introduces improvements to the component compatibility registry:
- Modify the kube-scheduler test server to create a separate ComponentGlobalsRegistry
- Update the compatibility registry to handle multiple flag configurations
- Enhance test cases to support emulation version mapping between components
Both the new DeviceTaint.TimeAdded and dropped fields when
the DRADeviceTaints feature is disabled confused the ResourceSlice
controller because what is stored and sent back can be different
from what the controller wants to store.
It's now more lenient regarding TimeAdded (doesn't need to be exact because of
rounding during serialization, only having a value on the server is okay)
and dropped fields (doesn't try to store them again). It also preserves
a server-side TimeAdded when updating slices.
Thanks to the tracker, the plugin sees all taints directly in the device
definition and can compare it against the tolerations of a request while
trying to find a device for the request.
When the feature is turnedd off, taints are ignored during scheduling.
