We've only ever had 1 API version, and we've broken backward
compatibility extremely rarely. Nothing changed about this with the
release of 1.0, let's just remove these sentences and save everybody
some reading.
Volume IDs are not UUIDs, so truncating them to the short ID isn't really
necessary and makes for especially awkward UX when per-alloc volumes are in
use.
The terminology here is a bit tricky. Technically Kuberbetes deprecated
their Docker *runtime* support but can still run Docker images. Sadly in
a lot of people's minds "Docker" and "containers" are nearly synonymous.
I think "Linux containers" is a more accurate characterization of
Kubernetes focus than "Docker" at this point.
Fixes#10120
When multiple CSI volumes are requested, the feasibility check could return
early for read/write volumes with free claims, even if a later volume in the
request was not feasible for any other reason (including not existing at
all). This can result in random failure to fail feasibility checking,
depending on how the map of volumes was being ordered at runtime.
Remove the early return from the feasibility check. Add a test to verify that
missing volumes in the map will cause a failure; this test will not catch a
regression every test run because of the random map ordering, but any failure
will be caught over the course of several CI runs.
The expose handler hook must handle if the submitted job is invalid. Without this validation, the rpc handler panics on invalid input.
Co-authored-by: Tim Gross <tgross@hashicorp.com>
RPC endpoints for the user-driven APIs (`UpsertOneTimeToken` and
`ExchangeOneTimeToken`) and token expiration (`ExpireOneTimeTokens`).
Includes adding expiration to the periodic core GC job.
As @backspace pointed out, we're processing a bunch of other stuff
anyway, so might as well process the active state there too where it's
more likely to be expected.
If the user has disabled Prometheus metrics and a request is
sent to the metrics endpoint requesting Prometheus formatted
metrics, then the request should fail.
When a @dataProp is provided, the LineChart component assumes data is an
array of data series. It will map by the data prop and flatten to
compute the domains of the data.
This is maybe a more realistic job that someone would actually submit
via the API; it more closely aligns with the example job from `nomad
job init`.
It's also been updated to use group network and service definitions.
