Generating the name avoids all potential name collisions. It's not clear how
much of a problem that was because users can avoid them and the deterministic
names for generic ephemeral volumes have not led to reports from users. But
using generated names is not too hard either.
What makes it relatively easy is that the new pod.status.resourceClaimStatus
map stores the generated name for kubelet and node authorizer, i.e. the
information in the pod is sufficient to determine the name of the
ResourceClaim.
The resource claim controller becomes a bit more complex and now needs
permission to modify the pod status. The new failure scenario of "ResourceClaim
created, updating pod status fails" is handled with the help of a new special
"resource.kubernetes.io/pod-claim-name" annotation that together with the owner
reference identifies exactly for what a ResourceClaim was generated, so
updating the pod status can be retried for existing ResourceClaims.
The transition from deterministic names is handled with a special case for that
recovery code path: a ResourceClaim with no annotation and a name that follows
the Kubernetes <= 1.27 naming pattern is assumed to be generated for that pod
claim and gets added to the pod status.
There's no immediate need for it, but just in case that it may become relevant,
the name of the generated ResourceClaim may also be left unset to record that
no claim was needed. Components processing such a pod can skip whatever they
normally would do for the claim. To ensure that they do and also cover other
cases properly ("no known field is set", "must check ownership"),
resourceclaim.Name gets extended.
We only added failed plulgins, but actually this will not work unless
we make the status with a fitError because we only copy the failured plugins
to podInfo if it is a fitError
Signed-off-by: kerthcet <kerthcet@gmail.com>
Normal binaries should never have to do this. It's not safe when there are
already some goroutines running which might do logging. Therefore the new
default is to return an error when a binary accidentally re-applies.
A few unit ensure that there are no goroutines and have to call the functions
more then once. The new ResetForTest API gets used by those to enable changing the
logging settings more than once in the same process.
Integration tests use the same code as the normal binaries. To make reuse of
that code safe, component-base/logs can be configured to silently ignore any
additional calls. This addresses data races that were found when enabling -race
for integration tests. To catch cases where the integration test does want
to modify the config, the old and new config get compared and an error is
raised when it's not the same.
To avoid having to modify all integration tests which start test servers,
reconfiguring component-base/logs is done by the test server packages.
When a pod is done, but not getting removed yet for while, then a claim that
got generated for that pod can be deleted already. This then also triggers
deallocation.
Invalid flags are detected by flag parsing, but optional arguments are just
passed through to the E2E suites. None of them support any, so rejecting them
with an error message is useful because it helps catch typos (like a missing
hyphen before a flag).
perfdash expects all data items to have the same set of labels. It then
renders drop-down buttons for each label with all values found for each
label. Previously, data items that didn't have a label didn't match any label
filter in perfdash and couldn't get selected because perfdash doesn't have
"unset" in it's drop-down menus.
To avoid that, scheduler-perf now collects all labels and then adds missing
labels with "not applicable" as value:
{
"data": {
"Average": 939.7071223010004,
"Perc50": 927.7987421383649,
"Perc90": 2166.153846153846,
"Perc95": 2363.076923076923,
"Perc99": 2520.6153846153848
},
"unit": "ms",
"labels": {
"Metric": "scheduler_pod_scheduling_duration_seconds",
"Name": "SchedulingBasic/5000Nodes/namespace-2",
"extension_point": "not applicable",
"result": "not applicable"
}
},
...
{
"data": {
"Average": 1.1172570650000004,
"Perc50": 1.1418367346938776,
"Perc90": 1.5500000000000003,
"Perc95": 1.6410256410256412,
"Perc99": 3.7333333333333334
},
"unit": "ms",
"labels": {
"Metric": "scheduler_framework_extension_point_duration_seconds",
"Name": "SchedulingBasic/5000Nodes/namespace-2",
"extension_point": "Score",
"result": "not applicable"
}
},
Because the JSON file gets written at the end of the top-level benchmark, all
data items had `BenchmarkPerfScheduling/` as prefix in the `Name` label. This
is redundant and makes it harder to see the actual name. Now that common prefix
gets removed.
CreatePod and MakePod only accepted an `isPrivileged` boolean, which made it
impossible to write tests using those helpers which work in a default
framework.Framework, because the default there is LevelRestricted.
The simple boolean gets replaced with admissionapi.Level. Passing
LevelRestricted does the same as calling e2epod.MixinRestrictedPodSecurity.
Instead of explicitly passing a constant to these modified helpers, most tests
get updated to pass f.NamespacePodSecurityLevel. This has the advantage
that if that level gets lowered in the future, tests only need to be updated in
one place.
In some cases, helpers taking client+namespace+timeouts parameters get replaced
with passing the Framework instance to get access to
f.NamespacePodSecurityEnforceLevel. These helpers don't need separate
parameters because in practice all they ever used where the values from the
Framework instance.
The post merge job was failed https://github.com/kubernetes/kubernetes/pull/117103
and this causes the e2e tests to fail. This PR retrigger the same.
Signed-off-by: Humble Chirammal <humble.devassy@gmail.com>
The namespace the crictical pod was referring to was wrong, because it
was using the generated one instead of `kube-system`. This and the
resulting test condition is now fixed.
The test seems to run only in `ci-crio-cgroupv1-node-e2e-flaky` for now.
Closes https://github.com/kubernetes/kubernetes/issues/109296
Signed-off-by: Sascha Grunert <sgrunert@redhat.com>
Doing the initialization once was not good enough because it was not guaranteed
that RunCustomEtcd gets called early enough, before there are other goroutines
which use gRPC. The data race for
test/integration/apiserver.TestWatchCacheUpdatedByEtcd was:
WARNING: DATA RACE
Read at 0x00000cfffb90 by goroutine 140052:
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.(*http2Client).Close()
/home/prow/go/src/k8s.io/kubernetes/_output/local/go/src/k8s.io/kubernetes/vendor/google.golang.org/grpc/internal/transport/http2_client.go:955 +0xca
k8s.io/kubernetes/vendor/google.golang.org/grpc/internal/transport.(*http2Client).reader()
/home/prow/go/src/k8s.io/kubernetes/_output/local/go/src/k8s.io/kubernetes/vendor/google.golang.org/grpc/internal/transport/http2_client.go:1619 +0xbfb
k8s.io/kubernetes/vendor/google.golang.org/grpc/internal/transport.newHTTP2Client.func11()
/home/prow/go/src/k8s.io/kubernetes/_output/local/go/src/k8s.io/kubernetes/vendor/google.golang.org/grpc/internal/transport/http2_client.go:394 +0x47
Previous write at 0x00000cfffb90 by goroutine 145643:
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:75 +0x104
k8s.io/kubernetes/test/integration/framework.RunCustomEtcd.func2()
/home/prow/go/src/k8s.io/kubernetes/_output/local/go/src/k8s.io/kubernetes/test/integration/framework/etcd.go:157 +0x33
sync.(*Once).doSlow()
/usr/local/go/src/sync/once.go:74 +0x101
sync.(*Once).Do()
/usr/local/go/src/sync/once.go:65 +0x46
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:156 +0xb97
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:41 +0xc4
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:92 +0xa9
testing.tRunner()
/usr/local/go/src/testing/testing.go:1576 +0x216
testing.(*T).Run.func1()
/usr/local/go/src/testing/testing.go:1629 +0x47
This commit removes the legacy networkpolicy tests since they now have
complete appropriate coverage in the new netpol suite.
Signed-off-by: Andrew Stoycos <astoycos@redhat.com>
We have a e2e test which want to get a rate limit error. To do so, we
sent an abnormally high amount of calls in a tight loop.
The relevant test per se is reportedly fine, but wwe need to play nicer
with *other* tests which may run just after and which need to query the API.
If the testsuite runs "too fast", it's possible an innocent test falls in the
same rate limit watch period which was saturated by the ratelimit test,
so the innocent test can still be throttled because the throttling period
is not exhausted yet, yielding false negatives, leading to flakes.
We can't reset the period for the rate limit, we just wait "long enough" to
make sure we absorb the burst and other legit queries are not rejected.
Signed-off-by: Francesco Romani <fromani@redhat.com>
This releases the underlying resource sooner and ensures that another consumer
can get scheduled without being influenced by a decision that was made for the
previous consumer.
An alternative would have been to have the apiserver trigger the deallocation
whenever it sees the `status.reservedFor` getting reduced to zero. But that
then also triggers deallocation when kube-scheduler removes the last
reservation after a failed scheduling cycle. In that case we want to keep the
claim allocated and let the kube-scheduler decide on a case-by-case basis which
claim should get deallocated.
add integration test to wait for json without value
refactor JSON condition value parsing and validating
adjusting test to reflect the error message refactoring
ginkgo.By should be used for steps in the test flow. Creating and deleting CDI
files happens in parallel to that. If reported via ginkgo.By, progress reports
look weird because they contain e.g. step "waiting for...." (from the main
test, which is still on-going) and end with "creating CDI file" (which is
already completed).
This avoids the surprise of identical authorization checks within a
policy evaluating to different decisions during the same admission
pass, and reduces the overhead of repeatedly referencing the same
authorization check.
This runs workloads that are labeled as "integration-test". The apiserver and
scheduler are only started once per unique configuration, followed by each
workload using that configuration. This makes execution faster. In contrast to
benchmarking, we care less about starting with a clean slate for each test.
Merely deleting the namespace is not enough:
- Workloads might rely on the garbage collector to get rid of obsolete objects,
so we should run it to be on the safe side.
- Pods must be force-deleted because kubelet is not running.
- Finally, the namespace controller is needed to get rid of
deleted namespaces.
