We don't need to worry about data loss once the data has been written to an
output stream. Calling fsync unnecessarily has been the reason for performance
issues in the past.
The recent regression https://github.com/kubernetes/kubernetes/issues/107033
shows that we need a way to automatically measure different logging
configurations (structured text, JSON with and without split streams) under
realistic conditions (time stamping, caller identification).
System calls may affect the performance and thus writing into actual files is
useful. A temp dir under /tmp (usually a tmpfs) is used, so the actual IO
bandwidth shouldn't affect the outcome. The "normal" json.Factory code is used
to construct the JSON logger when we have actual files that can be set as
os.Stderr and os.Stdout, thus making this as realistic as possible.
When discarding the output instead of writing it, the focus is more on the rest
of the pipeline and changes there can be investigated more reliably.
The benchmarks automatically gather "log entries per second" and "bytes per
second", which is useful to know when considering requirements like the ones
from https://github.com/kubernetes/kubernetes/issues/107029.
logcheck complains:
Additional arguments to ErrorS should always be Key Value pairs. Please check if there is any key or value missing.
That check is intentional, but not applicable here. The check can be worked
around by calling the functions through variables.
The benchmark depends on k8s.io/api (for v1.Container). Such a dependency is
not desirable for k8s.io/component-base/logs, even if it's just for
testing. The solution is to create a separate directory where such a dependency
isn't a problem.
The alternative, a separate package with its own go.mod file under
k8s.io/component-base/logs wouldd have been more complicated to maintain (yet
another go.mod file and different whitelisted dependencies).
The apiserver may be configured to generate the Service
kubernetes.default and its endpoints addresses.
This service is single-stack, hence, the endpoints and the ClusterIP
must have the same IP family.
Implements server side field validation behind the
`ServerSideFieldValidation` feature gate. With the
feature enabled, any create/update/patch request
with the `fieldValidation` query param set to
"Strict" will error if the object in the request
body have unknown fields. A value of "Warn"
(also the default when the feautre is enabled)
will succeed the request with a warning.
When the feature is disabled (or the query param
has a value of "Ignore"), the request will succeed
as it previously had with no indications of any
unknown or duplicate fields.
When a service is created with AllocateLoadBalancerNodePorts to false
it should not allocate node ports.
If the same service is updated to set AllocateLoadBalancerNodePorts
to true, it should allocate node ports.
When a service is updated from ClusterIP type to LoadBalancer type,
and AllocateLoadBalancerNodePorts is set to false, it should not
allocate node ports.
Signed-off-by: wangyysde <net_use@bzhy.com>
Generation swagger.json.
Use v2 path for hpa_cpu_field.
run update-codegen.sh
Signed-off-by: wangyysde <net_use@bzhy.com>
