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add allocation scheduling duration metric #680
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result = "error" | ||
} | ||
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provisionerName := provisioner.ObjectMeta.Name |
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minor: I'd probably lean inlining this to reduce lines
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A separate reference is used to ensure the same value used in the query (line 193) will also be logged (line 200) if the query fails.
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You can assume that provisioner.ObjectMeta.Name is immutable. In kubernetes, spec/metadata are considered immutable at reconcile time, while status is mutable.
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The scenario of concern is that the provisioner name might be fetch from elsewhere. Hypothetically, if a new field is added, e.g. provisioner.spec.metricDisplayName
; then, if the lookup is inlined, whoever updates this code will need to be sure to update both locations to keep the log message in sync.
@@ -68,7 +68,7 @@ func NewController(kubeClient client.Client, coreV1Client corev1.CoreV1Interface | |||
Filter: &Filter{KubeClient: kubeClient}, | |||
Binder: DecorateBinderMetrics(NewBinder(kubeClient, coreV1Client)), | |||
Batcher: NewBatcher(maxBatchWindow, batchIdleTimeout), | |||
Scheduler: scheduling.NewScheduler(cloudProvider, kubeClient), | |||
Scheduler: scheduling.DecorateSchedulerMetrics(scheduling.NewScheduler(cloudProvider, kubeClient)), |
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thoughts on encapsulating this inside NewScheduler so the test doesn't need to be aware it's decorated?
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That's a good point, I agree that this may not be the best place to apply the metrics decoration. However, I would prefer pushing the metrics decoration up to the caller of allocation.NewController()
rather than down into scheduling.NewScheduler()
.
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It depends whether or not you think the scheduler should innately emit metrics (i.e., the decorator is a convenience impl detail) or whether something should be decorating it. I'd lean the former, as I don't see multiple scheduler implementations in our future. This does feel somewhat like go/java philosophies colliding.
Nonblocking, though.
@@ -147,3 +156,56 @@ func IsSchedulable(pod *v1.Pod, node *v1.Node) bool { | |||
// TODO, support node affinity | |||
return true | |||
} | |||
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type schedulerMetricsDecorator struct { | |||
scheduler Scheduler |
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Optional:
type metricsDecoratedScheduler struct {
Scheduler // embedded
...
}
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Tried it. The go compiler won't allow embedding an interface within a struct.
The compiler will allow embedding the scheduler
struct but that had the effect of coupling metricsDecoratedScheduler
to scheduler
, rather than allowing metricsDecoratedScheduler
to work with any Scheduler
.
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I think of the metricsdecorator as a subclass of scheduler (with is ~= to embedding in golang, though not quite the same). I tend to see the go philosophy as leaning away from things like interfaces, setters, getters, and instead towards duck typing and direct variable access. I also expect that we won't have multiple scheduler implementations, but I'm fine either way.
schedules, scheduleErr := s.scheduler.Solve(ctx, provisioner, pods) | ||
durationSeconds := time.Since(startTime).Seconds() | ||
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result := "success" |
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I'm noticing that controller runtime separate success and error cases into separate metrics https://github.com/kubernetes-sigs/controller-runtime/blob/v0.10.0/pkg/internal/controller/metrics/metrics.go#L37. Thoughts on following the same pattern?
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I think using labels better encapsulates the metric information. An analogy in code would be passing around a struct
vs passing around multiple related but individual variables.
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I'm not deep on conventions here. Do you have some examples from similar kubernetes projects?
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https://github.com/kubernetes-sigs/controller-runtime/blob/v0.10.0/pkg/internal/controller/metrics/metrics.go#L30-L33 brakes out the metric by result classification via a label.
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Great thanks!
promErr, | ||
) | ||
} else { | ||
observer.Observe(durationSeconds) |
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Thoughts on adding a count metric, too? Or can we get this by counting the number of latency metrics?
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The histogram also emits "<metric_name>_count" and "<metric_name>_total" metrics with the count of observations and the sum of all observations, respectively.
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awesome!
return &schedulerMetricsDecorator{scheduler: scheduler, scheduleTimeHistogramVec: scheduleTimeHistogramVec} | ||
} | ||
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func (s *schedulerMetricsDecorator) Solve(ctx context.Context, provisioner *v1alpha3.Provisioner, pods []*v1.Pod) ([]*Schedule, error) { |
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Given the similarity of all of these histograms, I think we could likely achieve a lot of code-deduplication. Feel free to punt for a future issue.
metrics.ResultLabel: result, | ||
}) | ||
if promErr != nil { | ||
logging.FromContext(ctx).Warnf( |
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Minor: It just struck me that our ctx already decorates the log line with the provisioner name controller.allocation.provisioner/default
, so you could get away with leaving it out here.
}) | ||
if promErr != nil { | ||
logging.FromContext(ctx).Warnf( | ||
"Failed to record scheduling duration metric [%s=%s, %s=%s, duration=%f]: error=%w", |
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%w is intended for error chaining. When logging an error, you should use something like fmt.Errorf("%s", error.Error())
result = "error" | ||
} | ||
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provisionerName := provisioner.ObjectMeta.Name |
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Not to overly focus on this, but I just realized that you could print out the labels in the log line to avoid the case you were talking about. It's a map, so it should print [key1: value, key2: value2]
labels = prometheus.Labels{...}
logging(...)Warnf("%s", labels)
* Fix error format specifier in log message
1. Issue, if available:
#612 "Emit Metrics for Karpenter"
This PR does not fully resolve the issue. More changes will be needed.
2. Description of changes:
Add a histogram metric to record the duration of scheduling operations.
3. Does this change impact docs?
By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.