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Support extended kube-scheduler as batch scheduler (kubeflow#2136)
* Support coscheduling with kube-scheduler plugins Signed-off-by: Yi Chen <[email protected]> * Add example for using kube-schulder coscheduling Signed-off-by: Yi Chen <[email protected]> --------- Signed-off-by: Yi Chen <[email protected]>
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# | ||
# Copyright 2024 The Kubeflow 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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||
apiVersion: sparkoperator.k8s.io/v1beta2 | ||
kind: SparkApplication | ||
metadata: | ||
name: spark-pi-kube-scheduler | ||
namespace: default | ||
spec: | ||
type: Scala | ||
mode: cluster | ||
image: spark:3.5.0 | ||
imagePullPolicy: IfNotPresent | ||
mainClass: org.apache.spark.examples.SparkPi | ||
mainApplicationFile: local:///opt/spark/examples/jars/spark-examples_2.12-3.5.0.jar | ||
sparkVersion: 3.5.0 | ||
driver: | ||
labels: | ||
version: 3.5.0 | ||
cores: 1 | ||
coreLimit: 1200m | ||
memory: 512m | ||
serviceAccount: spark-operator-spark | ||
executor: | ||
labels: | ||
version: 3.5.0 | ||
instances: 2 | ||
cores: 1 | ||
coreLimit: 1200m | ||
memory: 512m | ||
batchScheduler: kube-scheduler |
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/* | ||
Copyright 2024 The Kubeflow 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 | ||
https://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 kubescheduler | ||
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import ( | ||
"context" | ||
"fmt" | ||
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corev1 "k8s.io/api/core/v1" | ||
"k8s.io/apimachinery/pkg/api/errors" | ||
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1" | ||
"k8s.io/apimachinery/pkg/types" | ||
"sigs.k8s.io/controller-runtime/pkg/client" | ||
"sigs.k8s.io/controller-runtime/pkg/log" | ||
schedulingv1alpha1 "sigs.k8s.io/scheduler-plugins/apis/scheduling/v1alpha1" | ||
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"github.com/kubeflow/spark-operator/api/v1beta2" | ||
"github.com/kubeflow/spark-operator/internal/scheduler" | ||
"github.com/kubeflow/spark-operator/pkg/util" | ||
) | ||
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const ( | ||
Name = "kube-scheduler" | ||
) | ||
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var ( | ||
logger = log.Log.WithName("") | ||
) | ||
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// Scheduler is a scheduler that uses scheduler plugins to schedule Spark pods. | ||
// Ref: https://github.com/kubernetes-sigs/scheduler-plugins. | ||
type Scheduler struct { | ||
name string | ||
client client.Client | ||
} | ||
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// Scheduler implements scheduler.Interface. | ||
var _ scheduler.Interface = &Scheduler{} | ||
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// Config defines the configurations of kube-scheduler. | ||
type Config struct { | ||
SchedulerName string | ||
Client client.Client | ||
} | ||
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// Config implements scheduler.Config. | ||
var _ scheduler.Config = &Config{} | ||
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// Factory creates a new Scheduler instance. | ||
func Factory(config scheduler.Config) (scheduler.Interface, error) { | ||
c, ok := config.(*Config) | ||
if !ok { | ||
return nil, fmt.Errorf("failed to get kube-scheduler config") | ||
} | ||
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scheduler := &Scheduler{ | ||
name: c.SchedulerName, | ||
client: c.Client, | ||
} | ||
return scheduler, nil | ||
} | ||
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// Name implements scheduler.Interface. | ||
func (s *Scheduler) Name() string { | ||
return s.name | ||
} | ||
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// ShouldSchedule implements scheduler.Interface. | ||
func (s *Scheduler) ShouldSchedule(app *v1beta2.SparkApplication) bool { | ||
// There is no additional requirements for scheduling. | ||
return true | ||
} | ||
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// Schedule implements scheduler.Interface. | ||
func (s *Scheduler) Schedule(app *v1beta2.SparkApplication) error { | ||
minResources := util.SumResourceList([]corev1.ResourceList{util.GetDriverRequestResource(app), util.GetExecutorRequestResource(app)}) | ||
podGroup := &schedulingv1alpha1.PodGroup{ | ||
ObjectMeta: metav1.ObjectMeta{ | ||
Name: getPodGroupName(app), | ||
Namespace: app.Namespace, | ||
OwnerReferences: []metav1.OwnerReference{ | ||
*metav1.NewControllerRef(app, v1beta2.SchemeGroupVersion.WithKind("SparkApplication")), | ||
}, | ||
}, | ||
Spec: schedulingv1alpha1.PodGroupSpec{ | ||
MinMember: 1, | ||
MinResources: minResources, | ||
}, | ||
} | ||
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if err := s.syncPodGroup(podGroup); err != nil { | ||
return fmt.Errorf("failed to sync pod group: %v", err) | ||
} | ||
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// Add a label `scheduling.x-k8s.io/pod-group` to mark the pod belongs to a group | ||
if app.ObjectMeta.Labels == nil { | ||
app.ObjectMeta.Labels = make(map[string]string) | ||
} | ||
app.ObjectMeta.Labels[schedulingv1alpha1.PodGroupLabel] = podGroup.Name | ||
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return nil | ||
} | ||
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// Cleanup implements scheduler.Interface. | ||
func (s *Scheduler) Cleanup(app *v1beta2.SparkApplication) error { | ||
podGroup := &schedulingv1alpha1.PodGroup{ | ||
ObjectMeta: metav1.ObjectMeta{ | ||
Name: getPodGroupName(app), | ||
Namespace: app.Namespace, | ||
}, | ||
} | ||
if err := s.client.Delete(context.TODO(), podGroup); err != nil { | ||
if errors.IsNotFound(err) { | ||
return nil | ||
} | ||
return err | ||
} | ||
logger.Info("Deleted PodGroup", "Name", podGroup.Name, "Namespace", podGroup.Namespace) | ||
return nil | ||
} | ||
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func (s *Scheduler) syncPodGroup(podGroup *schedulingv1alpha1.PodGroup) error { | ||
key := types.NamespacedName{ | ||
Namespace: podGroup.Namespace, | ||
Name: podGroup.Name, | ||
} | ||
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if err := s.client.Get(context.TODO(), key, &schedulingv1alpha1.PodGroup{}); err != nil { | ||
if !errors.IsNotFound(err) { | ||
return err | ||
} | ||
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if err := s.client.Create(context.TODO(), podGroup); err != nil { | ||
return err | ||
} | ||
logger.Info("Created PodGroup", "Name", podGroup.Name, "Namespace", podGroup.Namespace) | ||
return nil | ||
} | ||
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if err := s.client.Update(context.TODO(), podGroup); err != nil { | ||
return err | ||
} | ||
logger.Info("Updated PodGroup", "Name", podGroup.Name, "Namespace", podGroup.Namespace) | ||
return nil | ||
} |
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@@ -0,0 +1,27 @@ | ||
/* | ||
Copyright 2024 The Kubeflow 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 | ||
https://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 kubescheduler | ||
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import ( | ||
"fmt" | ||
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"github.com/kubeflow/spark-operator/api/v1beta2" | ||
) | ||
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func getPodGroupName(app *v1beta2.SparkApplication) string { | ||
return fmt.Sprintf("%s-pg", app.Name) | ||
} |