Automatic merge from submit-queue (batch tested with PRs 37228, 40146, 40075, 38789, 40189)
Cleanup temp dirs
So funny story my /tmp ran out of space running the unit tests so I am cleaning up all the temp dirs we create.
Automatic merge from submit-queue
Curating Owners: pkg/storage
cc @lavalamp @timothysc @liggitt @xiang90 @wojtek-t
In an effort to expand the existing pool of reviewers and establish a
two-tiered review process (first someone lgtms and then someone
experienced in the project approves), we are adding new reviewers to
existing owners files.
If You Care About the Process:
------------------------------
We did this by algorithmically figuring out who’s contributed code to
the project and in what directories. Unfortunately, that doesn’t work
well: people that have made mechanical code changes (e.g change the
copyright header across all directories) end up as reviewers in lots of
places.
Instead of using pure commit data, we generated an excessively large
list of reviewers and pruned based on all time commit data, recent
commit data and review data (number of PRs commented on).
At this point we have a decent list of reviewers, but it needs one last
pass for fine tuning.
Also, see https://github.com/kubernetes/contrib/issues/1389.
TLDR:
-----
As an owner of a sig/directory and a leader of the project, here’s what
we need from you:
1. Use PR https://github.com/kubernetes/kubernetes/pull/35715 as an example.
2. The pull-request is made editable, please edit the `OWNERS` file to
remove the names of people that shouldn't be reviewing code in the
future in the **reviewers** section. You probably do NOT need to modify
the **approvers** section. Names asre sorted by relevance, using some
secret statistics.
3. Notify me if you want some OWNERS file to be removed. Being an
approver or reviewer of a parent directory makes you a reviewer/approver
of the subdirectories too, so not all OWNERS files may be necessary.
4. Please use ALIAS if you want to use the same list of people over and
over again (don't hesitate to ask me for help, or use the pull-request
above as an example)
Automatic merge from submit-queue
delete unused variable in etcd_help_test.go
**What this PR does / why we need it**:
delete unused variable validEtcdVersion ,for keep the code clean
**Special notes for your reviewer**: none
**Release note**: none
Automatic merge from submit-queue (batch tested with PRs 36229, 39450)
Bump etcd to 3.0.14 and switch to v3 API in etcd.
Ref #20504
**Release note**:
```release-note
Switch default etcd version to 3.0.14.
Switch default storage backend flag in apiserver to `etcd3` mode.
```
Automatic merge from submit-queue
Remove json serialization annotations from internal types
fixes#3933
Internal types should never be serialized, and including json serialization tags on them makes it possible to accidentally do that without realizing it.
fixes in this PR:
* types
* [x] remove json tags from internal types
* [x] fix references from serialized types to internal ObjectMeta
* generation
* [x] remove generated json codecs for internal types (they should never be used)
* kubectl
* [x] fix `apply` to operate on versioned object
* [x] fix sorting by field to operate on versioned object
* [x] fix `--record` to build annotation patch using versioned object
* hpa
* [x] fix unmarshaling to internal CustomMetricTargetList in validation
* thirdpartyresources
* [x] fix encoding API responses using internal ObjectMeta
* tests
* [x] fix tests to use versioned objects when checking encoded content
* [x] fix tests passing internal objects to generic printers
follow ups (will open tracking issues or additional PRs):
- [ ] remove json tags from internal kubeconfig types (`kubectl config set` pathfinding needs to work against external type)
- [ ] HPA should version CustomMetricTargetList serialization in annotations
- [ ] revisit how TPR resthandlers encoding objects
- [ ] audit and add tests for printer use (human-readable printer requires internal versions, generic printers require external versions)
- [ ] add static analysis tests preventing new internal types from adding tags
- [ ] add static analysis tests requiring json tags on external types (and enforcing lower-case first letter)
- [ ] add more tests for `kubectl get` exercising known and unknown types with all output options
Automatic merge from submit-queue (batch tested with PRs 38181, 38128, 36711)
etcd2: have prefix always prepended
The prefix issue is discussed in #36290.
This is fixing etcd2 behavior separately.
**release note**:
```
etcd2: have prefix always prepended
```
Automatic merge from submit-queue (batch tested with PRs 37032, 38119, 38186, 38200, 38139)
etcd2: remove unnecessary PrevValue in SetOption
ref: https://github.com/kubernetes/kubernetes/issues/37994
Summary:
- PrevValue is set in HTTP header, and large value (>1MB) could exceed check limit
- We don't need PrevValue indeed since we already use PrevIndex in SetOptions and each PrevIndex corresponds to each PrevValue.
I don't really think we need extra tests for this. There is already test for GuaranteedUpdate covering its use cases.
Automatic merge from submit-queue (batch tested with PRs 35300, 36709, 37643, 37813, 37697)
[etcd] test cleanup: remove unnecessary AddPrefix()
What?
Remove etcdtest.AddPrefix() in tests. They will be automatically prepended in etcd storage.
Why?
ref: #36290#36374
After the change, it will double prepend.
Automatic merge from submit-queue
Reuse fields and labels
This should significantly reduce memory allocations in apiserver in large cluster.
Explanation:
- every kubelet is refreshing watch every 5-10 minutes (this generally is not causing relist - it just renews watch)
- that means, in 5000-node cluster, we are issuing ~10 watches per second
- since we don't have "watch heartbets", the watch is issued from previously received resourceVersion
- to make some assumption, let's assume pods are evenly spread across pods, and writes for them are evenly spread - that means, that a given kubelet is interested in 1 per 5000 pod changes
- with that assumption, each watch, has to process 2500 (on average) previous watch events
- for each of such even, we are currently computing fields.
This PR is fixing this problem.
Paul Morie