Adds TestGetImageRefReturnsImageIdNotRepoDigest to verify that GetImageRef
returns Image.Id instead of RepoDigests. This ensures content-based
deduplication where the same image pulled from different registries is
treated as identical content rather than separate images.
The test prevents regression of the issue fixed in the revert of cb011623c8
where using RepoDigests[0] caused location-dependent identity
(registry.io/image@sha256:...) instead of content-based identity
(sha256:...), breaking deduplication and creating separate pull records
for identical image content.
Signed-off-by: Sascha Grunert <sgrunert@redhat.com>
Prevents EndpointSlice churn for headless services where
getEndpointPorts returns [] but existing slices from the API
have nil ports, causing different hash values.
- Use netutils.IsIPv6(ip) instead of manual nil/To4 check
- Remove unnecessary ip.To16() call since IPv6 is already 16 bytes
- Remove ipFamily from grep pattern since IP format ensures correctness
Signed-off-by: Davanum Srinivas <davanum@gmail.com>
Partially reverts cb011623c8 from #135369.
Using RepoDigests[0] as image identity causes credential verification
issues because it makes identity location-dependent (registry.io/image@sha256:...)
instead of content-based (sha256:...). This defeats deduplication and
creates separate pull records for identical image content from different
registries.
ImagePulledRecord already handles per-registry credentials via its
two-level design: ImageRef identifies content, CredentialMapping tracks
registry-specific credentials.
Related: #136498, #136549
Signed-off-by: Sascha Grunert <sgrunert@redhat.com>
The /proc/net/nf_conntrack file uses fully expanded IPv6 addresses
with leading zeros in each 16-bit group. For example:
fc00:f853:ccd:e793::3 -> fc00:f853:0ccd:e793:0000:0000:0000:0003
Add expandIPv6ForConntrack() helper function to expand IPv6 addresses
to the format used by /proc/net/nf_conntrack before using them in
the grep pattern.
Signed-off-by: Davanum Srinivas <davanum@gmail.com>
Long running tests like TestDRA/all/DeviceBindingConditions (42.50s)
should run in parallel with other tests, otherwise the overall runtime is too
high.
This then must allow more pods per node to avoid blocking scheduling.
GatherAllocatedState and ListAllAllocatedDevices need to collect information
from different sources (allocated devices, in-flight claims), potentially even
multiple times (GatherAllocatedState first gets allocated devices, then the
capacities).
The underlying assumption that nothing bad happens in parallel is not always
true. The following log snippet shows how an update of the assume
cache (feeding the allocated devices tracker) and in-flight claims lands such
that GatherAllocatedState doesn't see the device in that claim as allocated:
dra_manager.go:263: I0115 15:11:04.407714 18778] scheduler: Starting GatherAllocatedState
...
allocateddevices.go:189: I0115 15:11:04.407945 18066] scheduler: Observed device allocation device="testdra-all-usesallresources-hvs5d.driver/worker-5/worker-5-device-094" claim="testdra-all-usesallresources-hvs5d/claim-0553"
dynamicresources.go:1150: I0115 15:11:04.407981 89109] scheduler: Claim stored in assume cache pod="testdra-all-usesallresources-hvs5d/my-pod-0553" claim="testdra-all-usesallresources-hvs5d/claim-0553" uid=<types.UID>: a84d3c4d-f752-4cfd-8993-f4ce58643685 resourceVersion="5680"
dra_manager.go:201: I0115 15:11:04.408008 89109] scheduler: Removed in-flight claim claim="testdra-all-usesallresources-hvs5d/claim-0553" uid=<types.UID>: a84d3c4d-f752-4cfd-8993-f4ce58643685 version="1211"
dynamicresources.go:1157: I0115 15:11:04.408044 89109] scheduler: Removed claim from in-flight claims pod="testdra-all-usesallresources-hvs5d/my-pod-0553" claim="testdra-all-usesallresources-hvs5d/claim-0553" uid=<types.UID>: a84d3c4d-f752-4cfd-8993-f4ce58643685 resourceVersion="5680" allocation=<
{
"devices": {
"results": [
{
"request": "req-1",
"driver": "testdra-all-usesallresources-hvs5d.driver",
"pool": "worker-5",
"device": "worker-5-device-094"
}
]
},
"nodeSelector": {
"nodeSelectorTerms": [
{
"matchFields": [
{
"key": "metadata.name",
"operator": "In",
"values": [
"worker-5"
]
}
]
}
]
},
"allocationTimestamp": "2026-01-15T14:11:04Z"
}
>
dra_manager.go:280: I0115 15:11:04.408085 18778] scheduler: Device is in flight for allocation device="testdra-all-usesallresources-hvs5d.driver/worker-5/worker-5-device-095" claim="testdra-all-usesallresources-hvs5d/claim-0086"
dra_manager.go:280: I0115 15:11:04.408137 18778] scheduler: Device is in flight for allocation device="testdra-all-usesallresources-hvs5d.driver/worker-5/worker-5-device-096" claim="testdra-all-usesallresources-hvs5d/claim-0165"
default_binder.go:69: I0115 15:11:04.408175 89109] scheduler: Attempting to bind pod to node pod="testdra-all-usesallresources-hvs5d/my-pod-0553" node="worker-5"
dra_manager.go:265: I0115 15:11:04.408264 18778] scheduler: Finished GatherAllocatedState allocatedDevices=<map[string]interface {} | len:2>: {
Initial state: "worker-5-device-094" is in-flight, not in cache
- goroutine #1: starts GatherAllocatedState, copies cache
- goroutine #2: adds to assume cache, removes from in-flight
- goroutine #1: checks in-flight
=> device never seen as allocated
This is the second reason for double allocation of the same device in two
different claims. The other was timing in the assume cache. Both were
tracked down with an integration test (separate commit). It did not fail
all the time, but enough that regressions should show up as flakes.
