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performance test to compare allocators
The current results with 100 works and 15k services on a (n2-standard-48) vCPU: 48 RAM: 192 GB are: Old allocator: perf_test.go:139: [RESULT] Duration 1m9.646167533s: [quantile:0.5 value:0.462886801 quantile:0.9 value:0.496662838 quantile:0.99 value:0.725845905] New allocator: perf_test.go:139: [RESULT] Duration 2m12.900694343s: [quantile:0.5 value:0.481814448 quantile:0.9 value:1.3867615469999999 quantile:0.99 value:1.888190671] The new allocator has higher latency but in contrast allow to use a larger number of services, when tested with 65k Services the old allocator etcd crashes with storage exceeded. The scenario is also not realistic, as a continuous and high load on Service creation is not expected.
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/* | ||
Copyright 2023 The Kubernetes Authors. | ||
Licensed under the Apache License, Version 2.0 (the "License"); | ||
you may not use this file except in compliance with the License. | ||
You may obtain a copy of the License at | ||
http://www.apache.org/licenses/LICENSE-2.0 | ||
Unless required by applicable law or agreed to in writing, software | ||
distributed under the License is distributed on an "AS IS" BASIS, | ||
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
See the License for the specific language governing permissions and | ||
limitations under the License. | ||
*/ | ||
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package servicecidr | ||
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import ( | ||
"context" | ||
"fmt" | ||
"testing" | ||
"time" | ||
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v1 "k8s.io/api/core/v1" | ||
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" | ||
utilfeature "k8s.io/apiserver/pkg/util/feature" | ||
clientset "k8s.io/client-go/kubernetes" | ||
featuregatetesting "k8s.io/component-base/featuregate/testing" | ||
"k8s.io/component-base/metrics" | ||
"k8s.io/component-base/metrics/legacyregistry" | ||
"k8s.io/component-base/metrics/testutil" | ||
"k8s.io/kubernetes/cmd/kube-apiserver/app/options" | ||
"k8s.io/kubernetes/pkg/features" | ||
"k8s.io/kubernetes/test/integration/framework" | ||
"k8s.io/kubernetes/test/utils/ktesting" | ||
netutils "k8s.io/utils/net" | ||
) | ||
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// TestServiceAllocPerformance measure the latency to create N services with a parallelism of K | ||
// using the old and the new ClusterIP allocators. | ||
// The test is skipped to run on CI and is left to execute manually to check for possible regressions. | ||
// The current results with 100 works and 15k services on a (n2-standard-48) vCPU: 48 RAM: 192 GB are: | ||
// legacy perf_test.go:139: [RESULT] Duration 1m9.646167533s: [quantile:0.5 value:0.462886801 quantile:0.9 value:0.496662838 quantile:0.99 value:0.725845905] | ||
// new perf_test.go:139: [RESULT] Duration 2m12.900694343s: [quantile:0.5 value:0.481814448 quantile:0.9 value:1.3867615469999999 quantile:0.99 value:1.888190671] | ||
func TestServiceAllocPerformance(t *testing.T) { | ||
t.Skip("KEP-1880 performance comparison") | ||
serviceCreation := metrics.NewHistogram(&metrics.HistogramOpts{ | ||
Name: "service_duration_seconds", | ||
Help: "A summary of the Service creation durations in seconds.", | ||
Buckets: metrics.DefBuckets, | ||
}) | ||
legacyregistry.MustRegister(serviceCreation) | ||
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svc := func(i, j int) *v1.Service { | ||
return &v1.Service{ | ||
ObjectMeta: metav1.ObjectMeta{ | ||
Name: fmt.Sprintf("svc-%v-%v", i, j), | ||
}, | ||
Spec: v1.ServiceSpec{ | ||
Type: v1.ServiceTypeClusterIP, | ||
Ports: []v1.ServicePort{ | ||
{Port: 80}, | ||
}, | ||
}, | ||
} | ||
} | ||
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worker := func(client clientset.Interface, id int, jobs <-chan int, results chan<- error) { | ||
for j := range jobs { | ||
t.Logf("Worker: %d Job: %d", id, j) | ||
func() { | ||
now := time.Now() | ||
defer func() { | ||
t.Logf("worker %d job %d took %v", id, j, time.Since(now)) | ||
serviceCreation.Observe(time.Since(now).Seconds()) | ||
}() | ||
ctx, cancel := context.WithTimeout(context.Background(), 30*time.Second) | ||
defer cancel() | ||
_, err := client.CoreV1().Services(metav1.NamespaceDefault).Create(ctx, svc(id, j), metav1.CreateOptions{}) | ||
if err != nil { | ||
t.Errorf("unexpected error: %v", err) | ||
} | ||
results <- err | ||
}() | ||
} | ||
} | ||
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for _, gate := range []bool{false, true} { | ||
t.Run(fmt.Sprintf("feature-gate=%v", gate), func(t *testing.T) { | ||
featuregatetesting.SetFeatureGateDuringTest(t, utilfeature.DefaultFeatureGate, features.MultiCIDRServiceAllocator, gate) | ||
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tCtx := ktesting.Init(t) | ||
client, _, tearDownFn := framework.StartTestServer(tCtx, t, framework.TestServerSetup{ | ||
ModifyServerRunOptions: func(opts *options.ServerRunOptions) { | ||
// use the larget range possible , this is limited by the old allocator | ||
opts.ServiceClusterIPRanges = "10.0.0.0/12" | ||
opts.GenericServerRunOptions.AdvertiseAddress = netutils.ParseIPSloppy("10.0.0.1") | ||
opts.APIEnablement.RuntimeConfig.Set("networking.k8s.io/v1alpha1=true") // nolint: errcheck | ||
}, | ||
}) | ||
defer tearDownFn() | ||
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legacyregistry.Reset() | ||
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// 100 workers for 15k services | ||
nworkers := 100 | ||
nservices := 15000 | ||
jobs := make(chan int, nservices) | ||
results := make(chan error, nservices) | ||
t.Log("Starting workers to create ClusterIP Service") | ||
now := time.Now() | ||
for w := 0; w < nworkers; w++ { | ||
t.Logf("Starting worker %d", w) | ||
go worker(client, w, jobs, results) | ||
} | ||
for i := 0; i < nservices; i++ { | ||
t.Logf("Sending job %d", i) | ||
jobs <- i | ||
} | ||
t.Log("All jobs processed") | ||
close(jobs) | ||
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for c := 0; c < nservices; c++ { | ||
t.Logf("Getting results %d", c) | ||
err := <-results | ||
if err != nil { | ||
t.Errorf("error creating service: %v", err) | ||
} | ||
} | ||
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vec, err := testutil.GetHistogramVecFromGatherer(legacyregistry.DefaultGatherer, serviceCreation.Name, map[string]string{}) | ||
if err != nil { | ||
t.Error(err) | ||
} | ||
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t.Logf("[RESULT] feature-gate=%v Duration: %v Avg: %.4f p95: %.4f p99: %.4f", gate, time.Since(now), vec.Average(), vec.Quantile(0.95), vec.Quantile(0.99)) | ||
}) | ||
} | ||
} |