Automatic merge from submit-queue
change all PredicateFunc to use SelectionPredicate
What?
- This PR changes all PredicateFunc in registry to return SelectionPredicate instead of Matcher interface.
Why?
- We want to pass SelectionPredicate to storage layer. Matcher interface did not expose enough information for indexing.
This implements the proposal in:
docs/proposals/secret-configmap-downwarapi-file-mode.md
Fixes: #28317.
The mounttest image is updated so it returns the permissions of the linked file
and not the symlink itself.
Automatic merge from submit-queue
Refactor persistent volume controller
Here is complete persistent controller as designed in https://github.com/pmorie/pv-haxxz/blob/master/controller.go
It's feature complete and compatible with current binder/recycler/provisioner. No new features, it *should* be much more stable and predictable.
Testing
--
The unit test framework is quite complicated, still it was necessary to reach reasonable coverage (78% in `persistentvolume_controller.go`). The untested part are error cases, which are quite hard to test in reasonable way - sure, I can inject a VersionConflictError on any object update and check the error bubbles up to appropriate places, but the real test would be to run `syncClaim`/`syncVolume` again and check it recovers appropriately from the error in the next periodic sync. That's the hard part.
Organization
---
The PR starts with `rm -rf kubernetes/pkg/controller/persistentvolume`. I find it easier to read when I see only the new controller without old pieces scattered around.
[`types.go` from the old controller is reused to speed up matching a bit, the code looks solid and has 95% unit test coverage].
I tried to split the PR into smaller patches, let me know what you think.
~~TODO~~
--
* ~~Missing: provisioning, recycling~~.
* ~~Fix integration tests~~
* ~~Fix e2e tests~~
@kubernetes/sig-storage
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Fixes#15632
Automatic merge from submit-queue
Move internal types of hpa from pkg/apis/extensions to pkg/apis/autoscaling
ref #21577
@lavalamp could you please review or delegate to someone from CSI team?
@janetkuo could you please take a look into the kubelet changes?
cc @fgrzadkowski @jszczepkowski @mwielgus @kubernetes/autoscaling
Automatic merge from submit-queue
Kubelet: Cleanup with new engine api
Finish step 2 of #23563
This PR:
1) Cleanup go-dockerclient reference in the code.
2) Bump up the engine-api version.
3) Cleanup the code with new engine-api.
Fixes#24076.
Fixes#23809.
/cc @yujuhong
Here are a list of changes along with an explanation of how they work:
1. Add a new string field called TargetSelector to the external version of
extensions Scale type (extensions/v1beta1.Scale). This is a serialized
version of either the map-based selector (in case of ReplicationControllers)
or the unversioned.LabelSelector struct (in case of Deployments and
ReplicaSets).
2. Change the selector field in the internal Scale type (extensions.Scale) to
unversioned.LabelSelector.
3. Add conversion functions to convert from two external selector fields to a
single internal selector field. The rules for conversion are as follows:
i. If the target resource that this scale targets supports LabelSelector
(Deployments and ReplicaSets), then serialize the LabelSelector and
store the string in the TargetSelector field in the external version
and leave the map-based Selector field as nil.
ii. If the target resource only supports a map-based selector
(ReplicationControllers), then still serialize that selector and
store the serialized string in the TargetSelector field. Also,
set the the Selector map field in the external Scale type.
iii. When converting from external to internal version, parse the
TargetSelector string into LabelSelector struct if the string isn't
empty. If it is empty, then check if the Selector map is set and just
assign that map to the MatchLabels component of the LabelSelector.
iv. When converting from internal to external version, serialize the
LabelSelector and store it in the TargetSelector field. If only
the MatchLabel component is set, then also copy that value to
the Selector map field in the external version.
4. HPA now just converts the LabelSelector field to a Selector interface
type to list the pods.
5. Scale Get and Update etcd methods for Deployments and ReplicaSets now
return extensions.Scale instead of autoscaling.Scale.
6. Consequently, SubresourceGroupVersion override and is "autoscaling"
enabled check is now removed from pkg/master/master.go
7. Other small changes to labels package, fuzzer and LabelSelector
helpers to piece this all together.
8. Add unit tests to HPA targeting Deployments and ReplicaSets.
9. Add an e2e test to HPA targeting ReplicaSets.
In podSecurityPolicy:
1. Rename .seLinuxContext to .seLinux
2. Rename .seLinux.type to .seLinux.rule
3. Rename .runAsUser.type to .runAsUser.rule
4. Rename .seLinux.SELinuxOptions
1,2,3 as suggested by thockin in #22159.
I added 3 for consistency with 2.
Added selector generation to Job's
strategy.Validate, right before validation.
Can't do in defaulting since UID is not known.
Added a validation to Job to ensure that the generated
labels and selector are correct when generation was requested.
This happens right after generation, but validation is in a better
place to return an error.
Adds "manualSelector" field to batch/v1 Job to control selector generation.
Adds same field to extensions/__internal. Conversion between those two
is automatic.
Adds "autoSelector" field to extensions/v1beta1 Job. Used for storing batch/v1 Jobs
- Default for v1 is to do generation.
- Default for v1beta1 is to not do it.
- In both cases, unset == false == do the default thing.
Release notes:
Added batch/v1 group, which contains just Job, and which is the next
version of extensions/v1beta1 Job.
The changes from the previous version are:
- Users no longer need to ensure labels on their pod template are unique to the enclosing
job (but may add labels as needed for categorization).
- In v1beta1, job.spec.selector was defaulted from pod labels, with the user responsible for uniqueness.
In v1, a unique label is generated and added to the pod template, and used as the selector (other
labels added by user stay on pod template, but need not be used by selector).
- a new field called "manualSelector" field exists to control whether the new behavior is used,
versus a more error-prone but more flexible "manual" (not generated) seletor. Most users
will not need to use this field and should leave it unset.
Users who are creating extensions.Job go objects and then posting them using the go client
will see a change in the default behavior. They need to either stop providing a selector (relying on
selector generation) or else specify "spec.manualSelector" until they are ready to do the former.
Leaving the type fields as comments for reference and reminder. But
deleting the conversion, defaulting and validation code. They can
always be brough back from the previous PR once the types are
introduced. Because builds break without them anyway that serves as a
reminder, so there is no need to leave them commented out.
Remove Codec from versionInterfaces in meta (RESTMapper is now agnostic
to codec and serialization). Register api/latest.Codecs as the codec
factory and use latest.Codecs.LegacyCodec(version) as an equvialent to
the previous codec.
Enforce minimum resource granularity of milli-{core, bytes} for Storage,
Memory, and CPU resource types. For Storage and Memory, milli-bytes are
allowed for backwards compatability, but the behavior is
undefinied (depends on docker implementation).
The pending codec -> conversion split changes the signature of
Encode and Decode to be more complicated. Create a stub helper
with the exact semantics of today and do the simple mechanical
refactor here to reduce the cost of that change.
This enables use of software or hardware transports viz. be2iscsi,
bnx2i, cxgb3i, cxgb4i, qla4xx, iser and ocs. The default transport
(tcp) happens to be called "default".
Use of non-default transports changes the disk path to the following format:
/dev/disk/by-path/pci-<pci_id>-ip-<portal>-iscsi-<iqn>-lun-<lun_id>
- PeriodSeconds - How often to probe
- SuccessThreshold - Number of successful probes to go from failure to success state
- FailureThreshold - Number of failing probes to go from success to failure state
This commit includes to changes in behavior:
1. InitialDelaySeconds now defaults to 10 seconds, rather than the
kubelet sync interval (although that also defaults to 10 seconds).
2. Prober only retries on probe error, not failure. To compensate, the
default FailureThreshold is set to the maxRetries, 3.
This commit wires together the graceful delete option for pods
on the Kubelet. When a pod is deleted on the API server, a
grace period is calculated that is based on the
Pod.Spec.TerminationGracePeriodInSeconds, the user's provided grace
period, or a default. The grace period can only shrink once set.
The value provided by the user (or the default) is set onto metadata
as DeletionGracePeriod.
When the Kubelet sees a pod with DeletionTimestamp set, it uses the
value of ObjectMeta.GracePeriodSeconds as the grace period
sent to Docker. When updating status, if the pod has DeletionTimestamp
set and all containers are terminated, the Kubelet will update the
status one last time and then invoke Delete(pod, grace: 0) to
clean up the pod immediately.
Make clients opt in to decoding objects that are stored
in the generic api.List object by invoking runtime.DecodeList()
with a set of schemes. Makes it easier to handle unknown
schema objects because decoding is in the control of the code.
Add runtime.Unstructured, which is a simple in memory
representation of an external object.
Instead of endpoints being a flat list, it is now a list of "subsets"
where each is a struct of {Addresses, Ports}. To generate the list of
endpoints you need to take union of the Cartesian products of the
subsets. This is compact in the vast majority of cases, yet still
represents named ports and corner cases (e.g. each pod has a different
port number).
This also stores subsets in a deterministic order (sorted by hash) to
avoid spurious updates and comparison problems.
This is a fully compatible change - old objects and clients will
keepworking as long as they don't need the new functionality.
This is the prep for multi-port Services, which will add API to produce
endpoints in this new structure.
* If you want to test this out when an actual NFS export a good place
to start is by running the NFS server in a container:
docker run -d --name nfs --privileged cpuguy83/nfs-server /tmp
More detail can be found here:
https://github.com/cpuguy83/docker-nfs-server
Allows POST to create a binding as a child. Also refactors internal
and v1beta3 Binding to be more generic (so that other resources can
support Bindings).
In v1b1 and v1b2 we choose the "first defined port" if you do not specify a
ContainerPort. I am proposing that v1b3 just assume the ContainerPort is the
same as the service port unless explicitly provided. This leaves named ports
for now, but that is under discussion on its own.
This is strictly compatible, though to implement this we have to leave the
internal objects with the looser behavior until v1b[12] die. This also adds a
link dependency so that when we DO kill v1b[12] the endpoints controller will
blow up, prompting a fix.
# *** ERROR: *** Some API files are missing the required field descriptions
# Add description tags to all non-inline fields in the following files:
# pkg/api/v1beta1/types.go
# pkg/api/v1beta2/types.go
#
# Your commit will be aborted unless you fix these.
# COMMIT_BLOCKED_ON_DESCRIPTION
Currently, the validation logic validates fields in an object and supply default
values wherever applies. This change factors out defaulting to a set of
defaulting callback functions for decoding (see #1502 for more discussion).
* This change is based on pull request 2587.
* Most defaulting has been migrated to defaults.go where the defaulting
functions are added.
* validation_test.go and converter_test.go have been adapted to not testing the
default values.
* Fixed all tests with that create invalid objects with the absence of
defaulting logic.
API object fuzzer is used to randomly populate API object for testing. Similar
code of the fuzzer was duplicated in multiple files. This change refactors the
tests and moves the fuzzer to a separate file.
Huamin Chen
