* Convert file but warn user with impossible conversions
* Only continuing for NotRegisteredErrors. Using iostreams for warning user instead of stdError
* Formatting, correct tests to use valid DNS-1035.
By generating the unique name in advance, the label also can be set to a
matching value directly in the Create request. This makes test startup in
test/integration/scheduler_perf a bit faster because the extra patching can be
avoided.
It also leads to a better label because previously, the unique label value
didn't match the node name. This is required for simulating dynamic resource
allocation, which relies on the label to track where an allocated claim is
available.
Add a regression test for https://issues.k8s.io/116925. The test
exercises the following:
1) Start a restart never pod which will exit with
`v1.PodSucceeded` phase.
2) Start a graceful deletion of the pod (set a deletion timestamp)
3) Restart the kubelet as soon as the kubelet reports the pod is
terminal (but before the pod is deleted).
4) Verify that after kubelet restart, the pod is deleted.
As of v1.27, there is a delay between the pod being marked terminal
phaes, and the status manager deleting the pod. If the kubelet is
restarted in the middle, after starting up again, the kubelet needs to
ensure the pod will be deleted on the API server.
Signed-off-by: David Porter <david@porter.me>
It makes sense to define a test where, depending on the parameters, some
operation creations zero pods, namespaces or nodes. The validation didn't allow
that previously due to the way how it was implemented although the underlying
code works fine with zero as count.
collector.collect got called without ensuring that collector.run had
terminated, so it could have happened that collector.run adds another sample
while collector.collect is reading them.
test-e2e-node for AWS is out-of-tree so that we won't need to vendor
in AWS related packages. For this to work, some of the scripts/golang
code need to know where the k8s tree is git cloned.
So let's add an option to lookup the env var, so that we can then,
change directory to this specified directory to run some make commands
Signed-off-by: Davanum Srinivas <davanum@gmail.com>
grpclog.SetLoggerV is not thread-safe and may only be called before code starts
using GRPC. Calling RunCustomEtcd multiple times, for example in
k8s.io/kubernetes/test/integration/apiserver.TestWatchCacheUpdatedByEtcd,
causes a data race:
WARNING: DATA RACE
Read at 0x00000c8e8d20 by goroutine 135612:
k8s.io/kubernetes/vendor/google.golang.org/grpc/grpclog.V()
/home/prow/go/src/k8s.io/kubernetes/_output/local/go/src/k8s.io/kubernetes/vendor/google.golang.org/grpc/grpclog/grpclog.go:41 +0x30
k8s.io/kubernetes/vendor/google.golang.org/grpc/grpclog.(*componentData).V()
/home/prow/go/src/k8s.io/kubernetes/_output/local/go/src/k8s.io/kubernetes/vendor/google.golang.org/grpc/grpclog/component.go:103 +0x4e
k8s.io/kubernetes/vendor/google.golang.org/grpc/internal/transport.(*loopyWriter).run.func1()
/home/prow/go/src/k8s.io/kubernetes/_output/local/go/src/k8s.io/kubernetes/vendor/google.golang.org/grpc/internal/transport/controlbuf.go:528 +0xf1
runtime.deferreturn()
/home/prow/go/src/k8s.io/kubernetes/_output/local/.gimme/versions/go1.20.2.linux.amd64/src/runtime/panic.go:476 +0x32
k8s.io/kubernetes/vendor/google.golang.org/grpc/internal/transport.newHTTP2Client.func6()
/home/prow/go/src/k8s.io/kubernetes/_output/local/go/src/k8s.io/kubernetes/vendor/google.golang.org/grpc/internal/transport/http2_client.go:442 +0x112
Previous write at 0x00000c8e8d20 by goroutine 140228:
k8s.io/kubernetes/vendor/google.golang.org/grpc/grpclog.SetLoggerV2()
/home/prow/go/src/k8s.io/kubernetes/_output/local/go/src/k8s.io/kubernetes/vendor/google.golang.org/grpc/grpclog/loggerv2.go:76 +0xc6a
k8s.io/kubernetes/test/integration/framework.RunCustomEtcd()
/home/prow/go/src/k8s.io/kubernetes/_output/local/go/src/k8s.io/kubernetes/test/integration/framework/etcd.go:153 +0xb89
k8s.io/kubernetes/test/integration/apiserver.multiEtcdSetup()
/home/prow/go/src/k8s.io/kubernetes/_output/local/go/src/k8s.io/kubernetes/test/integration/apiserver/watchcache_test.go:40 +0xac
k8s.io/kubernetes/test/integration/apiserver.TestWatchCacheUpdatedByEtcd()
/home/prow/go/src/k8s.io/kubernetes/_output/local/go/src/k8s.io/kubernetes/test/integration/apiserver/watchcache_test.go:88 +0x4a
testing.tRunner()
/home/prow/go/src/k8s.io/kubernetes/_output/local/.gimme/versions/go1.20.2.linux.amd64/src/testing/testing.go:1576 +0x216
testing.(*T).Run.func1()
/home/prow/go/src/k8s.io/kubernetes/_output/local/.gimme/versions/go1.20.2.linux.amd64/src/testing/testing.go:1629 +0x47
Users can pass resources into `kubectl events` command via `--for` flag,
if they have desire to only get events for the resource they specify.
However, current `kubectl events` does not support passing fully qualified
names(e.g. `replicasets.apps`, `cronjobs.v1.batch`, etc.). This PR adds support
for this.
The newly added `MirrorPodWithGracePeriod when create a mirror pod and
the container runtime is temporarily down during pod termination` test
is currently flaking because in some cases when it is run there are
other pods from other tests that are still in progress of being
terminated. This results in the test failing because it asserts metrics
that assume that there is only one pod running on the node.
To fix the flake, prior to starting the test, verify that no pods exist
in the api server other then the newly created mirror pod.
Signed-off-by: David Porter <david@porter.me>
this check needs to go after any mutations. After the mutating admission chain, rest.BeforeUpdate (which is responsible for reverting updates to immutable timestamp fields, among other things.) is called in the store.Update function. Without moving this check, it will be possible for an object to be written to etcd with only a change to its managed fields timestamp.
when adding a DisruptionTarget condition into a pod that will be deleted
- handle ResourceVersion and Preconditions correctly
- handle DryRun option correctly
Co-authored-by: Jordan Liggitt jordan@liggitt.net
* Slightly changed pod spec to repro issue #116262
* Refactor test to ensure that the static pod is deleted even if the
test fails
Signed-off-by: David Porter <david@porter.me>
We now get structured output using jsonpath for the
name and version fields of the node object and then
compare the outputs.
Signed-off-by: Madhav Jivrajani <madhav.jiv@gmail.com>
* api changes adding match conditions
* feature gate and registry strategy to drop fields
* matchConditions logic for admission webhooks
* feedback
* update test
* import order
* bears.com
* update fail policy ignore behavior
* update docs and matcher to hold fail policy as non-pointer
* update matcher error aggregation, fix early fail failpolicy ignore, update docs
* final cleanup
* openapi gen
This PR makes the NodePrepareResources() and NodeUnprepareResource()
calls of the kubeletplugin API for DynamicResourceAllocation
symmetrical. It wasn't clear how one would use the set of CDIDevices
passed back in the NodeUnprepareResource() of the v1alpha1 API, and the
new API now passes back the full ResourceHandle that was originally
passed to the Prepare() call. Passing the ResourceHandle is strictly
more informative and a plugin could always (re)derive the set of
CDIDevice from it.
This is a breaking change, but this release is scheduled to break
multiple APIs for DynamicResourceAllocation, so it makes sense to do
this now instead of later.
Signed-off-by: Kevin Klues <kklues@nvidia.com>
They contain some nice-to-have improvements (for example, better printing of
errors with gomega/format.Object) but nothing that is critical right now.
"go mod tidy" was run manually in
staging/src/k8s.io/kms/internal/plugins/mock (https://github.com/kubernetes/kubernetes/pull/116613
not merged yet).
This change updates KMS v2 to not create a new DEK for every
encryption. Instead, we re-use the DEK while the key ID is stable.
Specifically:
We no longer use a random 12 byte nonce per encryption. Instead, we
use both a random 4 byte nonce and an 8 byte nonce set via an atomic
counter. Since each DEK is randomly generated and never re-used,
the combination of DEK and counter are always unique. Thus there
can never be a nonce collision. AES GCM strongly encourages the use
of a 12 byte nonce, hence the additional 4 byte random nonce. We
could leave those 4 bytes set to all zeros, but there is no harm in
setting them to random data (it may help in some edge cases such as
live VM migration).
If the plugin is not healthy, the last DEK will be used for
encryption for up to three minutes (there is no difference on the
behavior of reads which have always used the DEK cache). This will
reduce the impact of a short plugin outage while making it easy to
perform storage migration after a key ID change (i.e. simply wait
ten minutes after the key ID change before starting the migration).
The DEK rotation cycle is performed in sync with the KMS v2 status
poll thus we always have the correct information to determine if a
read is stale in regards to storage migration.
Signed-off-by: Monis Khan <mok@microsoft.com>
The name "PodScheduling" was unusual because in contrast to most other names,
it was impossible to put an article in front of it. Now PodSchedulingContext is
used instead.
Annotation
As part of this change, kube-proxy accepts any value for either
annotation that is not "disabled".
Change-Id: Idfc26eb4cc97ff062649dc52ed29823a64fc59a4
The kube-apiserver validation expects the Count of an EventSeries to be
at least 2, otherwise it rejects the Event. There was is discrepancy
between the client and the server since the client was iniatizing an
EventSeries to a count of 1.
According to the original KEP, the first event emitted should have an
EventSeries set to nil and the second isomorphic event should have an
EventSeries with a count of 2. Thus, we should matcht the behavior
define by the KEP and update the client.
Also, as an effort to make the old clients compatible with the servers,
we should allow Events with an EventSeries count of 1 to prevent any
unexpected rejections.
Signed-off-by: Damien Grisonnet <dgrisonn@redhat.com>
Implement DOS prevention wiring a global rate limit for podresources
API. The goal here is not to introduce a general ratelimiting solution
for the kubelet (we need more research and discussion to get there),
but rather to prevent misuse of the API.
Known limitations:
- the rate limits value (QPS, BurstTokens) are hardcoded to
"high enough" values.
Enabling user-configuration would require more discussion
and sweeping changes to the other kubelet endpoints, so it
is postponed for now.
- the rate limiting is global. Malicious clients can starve other
clients consuming the QPS quota.
Add e2e test to exercise the flow, because the wiring itself
is mostly boilerplate and API adaptation.
We have quite a few podresources e2e tests and, as the feature
progresses to GA, we should consider moving them to NodeConformance.
Unfortunately most of them require linux-specific features not in the
test themselves but in the test prelude (fixture) to check or create the
node conditions (e.g. presence or not of devices, online CPUS...) to be
verified in the test proper.
For this reason we promote only a single test for starters.
Signed-off-by: Francesco Romani <fromani@redhat.com>
Since we can't rely on the test runner and hosts under test to
be on the same machine, we write to the terminate log from each
container and concatenate the results.
If a CRI error occurs during the terminating phase after a pod is
force deleted (API or static) then the housekeeping loop will not
deliver updates to the pod worker which prevents the pod's state
machine from progressing. The pod will remain in the terminating
phase but no further attempts to terminate or cleanup will occur
until the kubelet is restarted.
The pod worker now maintains a store of the pods state that it is
attempting to reconcile and uses that to resync unknown pods when
SyncKnownPods() is invoked, so that failures in sync methods for
unknown pods no longer hang forever.
The pod worker's store tracks desired updates and the last update
applied on podSyncStatuses. Each goroutine now synchronizes to
acquire the next work item, context, and whether the pod can start.
This synchronization moves the pending update to the stored last
update, which will ensure third parties accessing pod worker state
don't see updates before the pod worker begins synchronizing them.
As a consequence, the update channel becomes a simple notifier
(struct{}) so that SyncKnownPods can coordinate with the pod worker
to create a synthetic pending update for unknown pods (i.e. no one
besides the pod worker has data about those pods). Otherwise the
pending update info would be hidden inside the channel.
In order to properly track pending updates, we have to be very
careful not to mix RunningPods (which are calculated from the
container runtime and are missing all spec info) and config-
sourced pods. Update the pod worker to avoid using ToAPIPod()
and instead require the pod worker to directly use
update.Options.Pod or update.Options.RunningPod for the
correct methods. Add a new SyncTerminatingRuntimePod to prevent
accidental invocations of runtime only pod data.
Finally, fix SyncKnownPods to replay the last valid update for
undesired pods which drives the pod state machine towards
termination, and alter HandlePodCleanups to:
- terminate runtime pods that aren't known to the pod worker
- launch admitted pods that aren't known to the pod worker
Any started pods receive a replay until they reach the finished
state, and then are removed from the pod worker. When a desired
pod is detected as not being in the worker, the usual cause is
that the pod was deleted and recreated with the same UID (almost
always a static pod since API UID reuse is statistically
unlikely). This simplifies the previous restartable pod support.
We are careful to filter for active pods (those not already
terminal or those which have been previously rejected by
admission). We also force a refresh of the runtime cache to
ensure we don't see an older version of the state.
Future changes will allow other components that need to view the
pod worker's actual state (not the desired state the podManager
represents) to retrieve that info from the pod worker.
Several bugs in pod lifecycle have been undetectable at runtime
because the kubelet does not clearly describe the number of pods
in use. To better report, add the following metrics:
kubelet_desired_pods: Pods the pod manager sees
kubelet_active_pods: "Admitted" pods that gate new pods
kubelet_mirror_pods: Mirror pods the kubelet is tracking
kubelet_working_pods: Breakdown of pods from the last sync in
each phase, orphaned state, and static or not
kubelet_restarted_pods_total: A counter for pods that saw a
CREATE before the previous pod with the same UID was finished
kubelet_orphaned_runtime_pods_total: A counter for pods detected
at runtime that were not known to the kubelet. Will be
populated at Kubelet startup and should never be incremented
after.
Add a metric check to our e2e tests that verifies the values are
captured correctly during a serial test, and then verify them in
detail in unit tests.
Adds 23 series to the kubelet /metrics endpoint.
Add some additional init container tests that work via monitoring
container lifetime based on logs written to a common file. This allows
more easily writing assertions about the container lifetimes with
respect to one another.
6f2cd1b5bd swapped the order of cancel() and
closeFn() so that closeFn got called first when the test was done. This caused
it to block while waiting for goroutines which themselves were waiting for
the context cancellation. The test still shut down, it just took ~86s instead
of ~30s.
The fix is to register the cancel twice: once as soon as the context is
created (to clean up in case of an unexpected panic) and once after
closeFn (because then it'll get called first, as before).
