Reconfiguring the logging infrastructure with a per-test output file mimicks
the behavior of per-test output (log output captured only on failures) while
still using the normal logging code, which is important for benchmarking.
To enable this behavior, the ARTIFACT env variable must be set.
In the API, the effect of the feature gate is that alpha fields get dropped on
create. They get preserved during updates if already set. The
PodSchedulingContext registration is *not* restricted by the feature gate.
This enables deleting stale PodSchedulingContext objects after disabling
the feature gate.
The scheduler checks the new feature gate before setting up an informer for
PodSchedulingContext objects and when deciding whether it can schedule a
pod. If any claim depends on a control plane controller, the scheduler bails
out, leading to:
Status: Pending
...
Warning FailedScheduling 73s default-scheduler 0/1 nodes are available: resourceclaim depends on disabled DRAControlPlaneController feature. no new claims to deallocate, preemption: 0/1 nodes are available: 1 Preemption is not helpful for scheduling.
The rest of the changes prepare for testing the new feature separately from
"structured parameters". The goal is to have base "dra" jobs which just enable
and test those, then "classic-dra" jobs which add DRAControlPlaneController.
The structured parameter allocation logic was written from scratch in
staging/src/k8s.io/dynamic-resource-allocation/structured where it might be
useful for out-of-tree components.
Besides the new features (amount, admin access) and API it now supports
backtracking when the initial device selection doesn't lead to a complete
allocation of all claims.
Co-authored-by: Ed Bartosh <eduard.bartosh@intel.com>
Co-authored-by: John Belamaric <jbelamaric@google.com>
This is in preparation for revamping the resource.k8s.io completely. Because
there will be no support for transitioning from v1alpha2 to v1alpha3, the
roundtrip test data for that API in 1.29 and 1.30 gets removed.
Repeating the version in the import name of the API packages is not really
required. It was done for a while to support simpler grepping for usage of
alpha APIs, but there are better ways for that now. So during this transition,
"resourceapi" gets used instead of "resourcev1alpha3" and the version gets
dropped from informer and lister imports. The advantage is that the next bump
to v1beta1 will affect fewer source code lines.
Only source code where the version really matters (like API registration)
retains the versioned import.
This makes the API nicer:
resourceClaims:
- name: with-template
resourceClaimTemplateName: test-inline-claim-template
- name: with-claim
resourceClaimName: test-shared-claim
Previously, this was:
resourceClaims:
- name: with-template
source:
resourceClaimTemplateName: test-inline-claim-template
- name: with-claim
source:
resourceClaimName: test-shared-claim
A more long-term benefit is that other, future alternatives
might not make sense under the "source" umbrella.
This is a breaking change. It's justified because DRA is still
alpha and will have several other API breaks in 1.31.
It needs to be set twice, once for ktesting+klog, once for
component-base/logs. The latter was not done before and thus quite a bit of log
output was produced with verbosity 0.
Several pods sharing the same claim is not common, but can be useful and thus
should get tested.
Before, createPods and createAny operations were not able to do this because
each generated object was the same. What we need are different, predictable
names of the claims (from createAny) and different references to those in the
pods (from createPods). Now text/template processing with the index number of
the pod respectively claim as input is used to inject these varying fields. A
"div" function is needed to use the same claim in several different pods.
While at it, some existing test cases get cleaned up a bit (removal of
incorrect comments, adding comments for testing with queuing hints).
The cancellation of the context happened after the cleanup of the apiserver, so
clients using that context were kept running. That wasn't the intent and causes
a slow shutdown because the apiserver delays its shutdown when it has active
clients.
The fix is to create a new cancellation context and to use that for the
clients. The automatic cancellation of it then happens before the apiserver
cleanup.
