The previous solution had some shortcomings:
- It was based on the assumption that the goroutine gets woken up at regular
intervals. This is not actually guaranteed. Now the code keeps track of the
actual start and end of an interval and verifies that assumption.
- If no pod was scheduled (unlikely, but could happen), then
"0 pods/s" got recorded. In such a case, the metric was always either
zero or >= 1. A better solution is to extend the interval
until some pod gets scheduled. With the larger time interval
it is then possible to also track, for example, 0.5 pods/s.
This provides a mechanism for overriding the forced increase of the klog
verbosity to 4 when starting the apiserver and uses that for the scheduler_perf
benchmark. Other tests run as before.
A global variable was used because adding an explicit parameter to several
helper functions would have caused a lot of code churn (test ->
integration/util.StartApiserver ->
integration/framework.RunAnAPIServerUsingServer ->
integration/framework.startAPIServerOrDie).
- Move utilities or constants out so that both of them should be able
to run independently.
- Rename the legacy test so that it can eventually be deleted when the
perf dash changes is done
In addition to getting overall performance measurements from golang benchmark,
collect metrics that provides information about insides of the scheduler itself.
This is a first step towards improving what we collect about the scheduler.
Metrics in question:
- scheduler_scheduling_algorithm_predicate_evaluation_seconds
- scheduler_scheduling_algorithm_priority_evaluation_seconds
- scheduler_binding_duration_seconds
- scheduler_e2e_scheduling_duration_seconds
Scheduling throughput is computed on the fly inside perfScheduling.
In addition to getting overall performance measurements from golang benchmark,
collect metrics that provides information about insides of the scheduler itself.
This is a first step towards improving what we collect about the scheduler.
Metrics in question:
- scheduler_scheduling_algorithm_predicate_evaluation_seconds
- scheduler_scheduling_algorithm_priority_evaluation_seconds
- scheduler_binding_duration_seconds
- scheduler_e2e_scheduling_duration_seconds
Scheduling throughput is computed on the fly inside perfScheduling.
The Configurator has been used as a holder for listers that tests need,
which is not its purpose. By making the tests obtain listers from more
appropriate places, such as informers, there is no need for various
accessors to the Configurator.
Also, FakeConfigurator is not being used anymore, so there's no need for
an interface instead of a plain pointer.
Signed-off-by: Aldo Culquicondor <acondor@google.com>
This moves plugin/pkg/scheduler to pkg/scheduler and
plugin/cmd/kube-scheduler to cmd/kube-scheduler.
Bulk of the work was done with gomvpkg, except for kube-scheduler main
package.
