- New API field .spec.schedulingGates
- Validation and drop disabled fields
- Disallow binding a Pod carrying non-nil schedulingGates
- Disallow creating a Pod with non-nil nodeName and non-nil schedulingGates
- Adds a {type:PodScheduled, reason:WaitingForGates} condition if necessary
- New literal SchedulingGated in the STATUS column of `k get pod`
The cloud-provider and the e2e test were racing on deleting the
cloud resources.
Also, the cloud-provider should not leave orphan resources, that will
be detected by the job and fail, thus we should not have additional
logic to cleanup masking these errors.
Removed the unit tests that test the cases when the MixedProtocolLBService feature flag was false - the feature flag is locked to true with GA
Added an integration test to test whether the API server accepts an LB Service with different protocols.
Added an e2e test to test whether a service which is exposed by a multi-protocol LB Service is accessible via both ports.
Removed the conditional validation that compared the new and the old Service definitions during an update - the feature flag is locked to true with GA.
Some of our API types contain fields that get rendered very poorly by
gomega.format.Object because they contain lots of internal information, for
example CreationTimestamp. As a result, dumping full API object typically gets
truncated.
What we want is a representation that is a) multi-line (in contrast to the
stringer implemented by our types) and b) drops empty fields where it
was defined that this is okay.
The normal YAML representation fits that requirement. We just need to teach
gomega how and when to do that. This cannot be done for each type through a
generated GomegaString method (lots of code, additional dependency in public
API on YAML encoder), but it can be done inside tests by adding a formatting
handler (new gomega feature).
Our tooling cannot handle very long failure messages well:
- when unfolding a test in the spyglass UI, it fills the entire screen
- failure correlation for http://go.k8s.io/triage has resource constraints
We cannot enforce that all tests only produce short failure messages and even
if we could, depending on the test failure, including more information may be
useful to understand it.
To achieve both goals (summary for correlation and overview, all details
available when digging deeper), too longer failure messages now get truncated,
with the full message guaranteed to be captured in the test output.
"Too long" is arbitrarily chosen to be similar to the gomega.MaxLength because
that has been a limit for failure message size in the past.
When gomega.format exceeds the default size of 4000, it truncates and prints:
Gomega truncated this representation as it exceeds 'format.MaxLength'.
Consider having the object provide a custom 'GomegaStringer' representation
or adjust the parameters in Gomega's 'format' package.
Learn more here: https://onsi.github.io/gomega/#adjusting-output
These instructions don't help the user of the e2e.test binary unless we provide
a command line flag.
Commit 99e9096034 was only supposed to remove the
FailfWithOffset function, but it also changed the behavior by skipping one
additional stack frame. That makes no sense and is inconsistent with Fail, which
also logs the direct caller.
The original intention was to address "frustration of end users running the e2e
suite is that they take a significant amount of time and it is difficult to
gauge progress".
But Ginkgo's output is different now than it was in Kubernetes 1.19. If users
want to see progress, then "ginkgo --progress" might provide enough
information.
Printing to os.Stdout doesn't work as intended anyway when output redirection
is enabled (the default for parallel runs) and causes these JSON snippets to
appear as "show stdout" for each failed test in a Prow job, which is
distracting.
Tests should accept a context from Ginkgo and pass it through to all functions
which may block for a longer period of time. In particular all Kubernetes API
calls through client-go should use that context. Then if a timeout occurs,
the test returns immediately because everything that it could block on will
return.
Cleanup code then needs to run in a separate Ginkgo node, typically
DeferCleanup, which ensures that it gets a separate context which has not timed
out yet.
Align the behavior of HTTP-based lifecycle handlers and HTTP-based
probers, converging on the probers implementation. This fixes multiple
deficiencies in the current implementation of lifecycle handlers
surrounding what functionality is available.
The functionality is gated by the features.ConsistentHTTPGetHandlers feature gate.