Automatic merge from submit-queue
Add initial french translations for kubectl
Add initial French translations, mostly as an example of how to add a new language.
@fabianofranz @kubernetes/sig-cli-pr-reviews
Move over only the conversions that are needed, create a new scheme that
is private to meta and only accessible via ParameterCodec. Move half of
pkg/util/labels/.readonly to pkg/apis/meta/v1/labels.go
Automatic merge from submit-queue
Improve TerminationMessagePath to be more flexible
* Support `terminationMessagePolicy: fallbackToLogsOnError` which allows pod authors to get useful information from containers as per kubernetes/community#154
* Set an upper bound on the size of the termination message path or log output to prevent callers from DoSing the master
* Add tests for running as root, non-root, and for the new terminationMessagePolicy cases.
I set the limit to 4096 bytes, but this may be too high for large pod containers. Probably need to set an absolute bound, i.e. max message size allowed is 20k total, and we truncate if we're above that limit.
Fixes#31839, #23569
```release-note
A new field `terminationMessagePolicy` has been added to containers that allows a user to request `FallbackToLogsOnError`, which will read from the container's logs to populate the termination message if the user does not write to the termination message log file. The termination message file is now properly readable for end users and has a maximum size (4k bytes) to prevent abuse. Each pod may have up to 12k bytes of termination messages before the contents of each will be truncated.
```
These files have been created lately, so we don't have much information
about them anyway, so let's just:
- Remove assignees and make them approvers
- Copy approves as reviewers
Enforce the following limits:
12kb for total message length in container status
4kb for the termination message path file
2kb or 80 lines (whichever is shorter) from the log on error
Fallback to log output if the user requests it.
Automatic merge from submit-queue
Enable lazy initialization of ext3/ext4 filesystems
**What this PR does / why we need it**: It enables lazy inode table and journal initialization in ext3 and ext4.
**Which issue this PR fixes** *(optional, in `fixes #<issue number>(, fixes #<issue_number>, ...)` format, will close that issue when PR gets merged)*: fixes#30752, fixes#30240
**Release note**:
```release-note
Enable lazy inode table and journal initialization for ext3 and ext4
```
**Special notes for your reviewer**:
This PR removes the extended options to mkfs.ext3/mkfs.ext4, so that the defaults (enabled) for lazy initialization are used.
These extended options come from a script that was historically located at */usr/share/google/safe_format_and_mount* and later ported to GO so this dependency to the script could be removed. After some search, I found the original script here: https://github.com/GoogleCloudPlatform/compute-image-packages/blob/legacy/google-startup-scripts/usr/share/google/safe_format_and_mount
Checking the history of this script, I found the commit [Disable lazy init of inode table and journal.](4d7346f7f5). This one introduces the extended flags with this description:
```
Now that discard with guaranteed zeroing is supported by PD,
initializing them is really fast and prevents perf from being affected
when the filesystem is first mounted.
```
The problem is, that this is not true for all cloud providers and all disk types, e.g. Azure and AWS. I only tested with magnetic disks on Azure and AWS, so maybe it's different for SSDs on these cloud providers. The result is that this performance optimization dramatically increases the time needed to format a disk in such cases.
When mkfs.ext4 is told to not lazily initialize the inode tables and the check for guaranteed zeroing on discard fails, it falls back to a very naive implementation that simply loops and writes zeroed buffers to the disk. Performance on this highly depends on free memory and also uses up all this free memory for write caching, reducing performance of everything else in the system.
As of https://github.com/kubernetes/kubernetes/issues/30752, there is also something inside kubelet that somehow degrades performance of all this. It's however not exactly known what it is but I'd assume it has something to do with cgroups throttling IO or memory.
I checked the kernel code for lazy inode table initialization. The nice thing is, that the kernel also does the guaranteed zeroing on discard check. If it is guaranteed, the kernel uses discard for the lazy initialization, which should finish in a just few seconds. If it is not guaranteed, it falls back to using *bio*s, which does not require the use of the write cache. The result is, that free memory is not required and not touched, thus performance is maxed and the system does not suffer.
As the original reason for disabling lazy init was a performance optimization and the kernel already does this optimization by default (and in a much better way), I'd suggest to completely remove these flags and rely on the kernel to do it in the best way.
Automatic merge from submit-queue
Enable streaming proxy redirects by default (beta)
Prerequisite to moving CRI to Beta.
I'd like to enable this early in our 1.6 cycle to get plenty of test coverage before release.
@yujuhong @liggitt
```release-note
Follow redirects for streaming requests (exec/attach/port-forward) in the apiserver by default (alpha -> beta).
```
Automatic merge from submit-queue
Remove packages which are now apimachinery
Removes all the content from the packages that were moved to `apimachinery`. This will force all vendoring projects to figure out what's wrong. I had to leave many empty marker packages behind to have verify-godep succeed on vendoring heapster.
@sttts straight deletes and simple adds
Automatic merge from submit-queue (batch tested with PRs 38592, 39949, 39946, 39882)
move api/errors to apimachinery
`pkg/api/errors` is a set of helpers around `meta/v1.Status` that help to create and interpret various apiserver errors. Things like `.NewNotFound` and `IsNotFound` pairings. This pull moves it into apimachinery for use by the clients and servers.
@smarterclayton @lavalamp First commit is the move plus minor fitting. Second commit is straight replace and generation.
Kubernetes Submit Queue