Help Center/ Cloud Container Engine/ User Guide (Kuala Lumpur Region)/ Scheduling/ Volcano Scheduling/ Priority-based Scheduling/ Priority-based Scheduling
Updated on 2024-07-27 GMT+08:00
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Priority-based Scheduling

A pod priority indicates the importance of a pod relative to other pods. Volcano supports pod PriorityClasses in Kubernetes. After PriorityClasses are configured, the scheduler preferentially schedules high-priority pods.

Prerequisites

Overview

The services running in a cluster are diversified, including core services, non-core services, online services, and offline services. You can configure priorities for different services based on service importance and SLA requirements. For example, configure a high priority for core services and online services so that such services preferentially obtain cluster resources.

Table 1 lists the priority-based scheduling supported by CCE clusters.

Table 1 Priority-based scheduling

Scheduling Type

Description

Scheduler

Priority-based scheduling

The scheduler preferentially guarantees the running of high-priority pods, but will not evict low-priority pods that are running. Priority-based scheduling is enabled by default and cannot be disabled.

kube-scheduler or Volcano scheduler

Configuring Priority-based Scheduling Policies

  1. Log in to the CCE console.
  2. Click the cluster name to access the cluster console. Choose Settings in the navigation pane and click the Scheduling tab.
  3. In the Business priority scheduling area, configure priority-based scheduling.

    • Scheduling based on priority: The scheduler preferentially guarantees the running of high-priority pods, but will not evict low-priority pods that are running. Priority-based scheduling is enabled by default and cannot be disabled.

  4. After the configuration, you can use PriorityClasses to schedule the pods of workloads or Volcano jobs based priorities.

    1. Create one or more PriorityClasses.
      apiVersion: scheduling.k8s.io/v1
kind: PriorityClass
metadata:
  name: high-priority
value: 1000000
globalDefault: false
description: ""
    2. Create a workload or Volcano job and specify its PriorityClass name.
      • Workload
        apiVersion: apps/v1
kind: Deployment
metadata:
  name: high-test
  labels:
    app: high-test
spec:
  replicas: 5
  selector:
    matchLabels:
      app: test
  template:
    metadata:
      labels:
        app: test
    spec:
      priorityClassName: high-priority
      schedulerName: volcano
      containers:
      - name: test
        image: busybox
        imagePullPolicy: IfNotPresent
        command: ['sh', '-c', 'echo "Hello, Kubernetes!" && sleep 3600']
        resources:
          requests:
            cpu: 500m
          limits:
            cpu: 500m
      • Volcano job
        apiVersion: batch.volcano.sh/v1alpha1
kind: Job
metadata:
  name: vcjob
spec:
  schedulerName: volcano
  minAvailable: 4
  priorityClassName: high-priority
  tasks:
    - replicas: 4
      name: "test"
      template:
        spec:
          containers:
            - image: alpine
              command: ["/bin/sh", "-c", "sleep 1000"]
              imagePullPolicy: IfNotPresent
              name: running
              resources:
                requests:
                  cpu: "1"
          restartPolicy: OnFailure

Example of Priority-based Scheduling

For example, there are two idle nodes and several workloads with three priorities (high-priority, medium-priority, and low-priority). Run the high-priority workload to exhaust all cluster resources, and issue the medium-priority and low-priority workloads. Then, the two types of workloads are pending due to insufficient resources. When the high-priority workload ends, the pods of the medium-priority workload will be scheduled ahead of the pods of the low-priority workload according to the priority-based scheduling setting.

  1. Add three PriorityClasses (high-priority, med-priority, and low-priority) in priority.yaml.

    Example configuration of priority.yaml: 
    apiVersion: scheduling.k8s.io/v1
kind: PriorityClass
metadata:
  name: high-priority
value: 100
globalDefault: false
description: "This priority class should be used for volcano job only."
---
apiVersion: scheduling.k8s.io/v1
kind: PriorityClass
metadata:
  name: med-priority
value: 50
globalDefault: false
description: "This priority class should be used for volcano job only."
---
apiVersion: scheduling.k8s.io/v1
kind: PriorityClass
metadata:
  name: low-priority
value: 10
globalDefault: false
description: "This priority class should be used for volcano job only."
    Create PriorityClasses. 
    kubectl apply -f priority.yaml

  2. Check PriorityClasses.

    kubectl get PriorityClass
    Command output: 
    NAME                      VALUE        GLOBAL-DEFAULT   AGE
high-priority             100          false            97s
low-priority              10           false            97s
med-priority              50           false            97s
system-cluster-critical   2000000000   false            6d6h
system-node-critical      2000001000   false            6d6h

  3. Create a high-priority workload named high-priority-job to exhaust all cluster resources.

    high-priority-job.yaml

    apiVersion: batch.volcano.sh/v1alpha1
kind: Job
metadata:
  name: priority-high
spec:
  schedulerName: volcano
  minAvailable: 4
  priorityClassName: high-priority
  tasks:
    - replicas: 4
      name: "test"
      template:
        spec:
          containers:
            - image: alpine
              command: ["/bin/sh", "-c", "sleep 1000"]
              imagePullPolicy: IfNotPresent
              name: running
              resources:
                requests:
                  cpu: "1"
          restartPolicy: OnFailure

    Run the following command to issue the job:

    kubectl apply -f high_priority_job.yaml

    Run the kubectl get pod command to check pod statuses:

    NAME                   READY   STATUS    RESTARTS   AGE
priority-high-test-0   1/1     Running   0          3s
priority-high-test-1   1/1     Running   0          3s
priority-high-test-2   1/1     Running   0          3s
priority-high-test-3   1/1     Running   0          3s

    The command output shows that all cluster resources have been used up.

  4. Create a medium-priority workload med-priority-job and a low-priority workload low-priority-job.

    med-priority-job.yaml

    apiVersion: batch.volcano.sh/v1alpha1
kind: Job
metadata:
  name: priority-medium
spec:
  schedulerName: volcano
  minAvailable: 4
  priorityClassName: med-priority
  tasks:
    - replicas: 4
      name: "test"
      template:
        spec:
          containers:
            - image: alpine
              command: ["/bin/sh", "-c", "sleep 1000"]
              imagePullPolicy: IfNotPresent
              name: running
              resources:
                requests:
                  cpu: "1"
          restartPolicy: OnFailure

    low-priority-job.yaml

    apiVersion: batch.volcano.sh/v1alpha1
kind: Job
metadata:
  name: priority-low
spec:
  schedulerName: volcano
  minAvailable: 4
  priorityClassName: low-priority
  tasks:
    - replicas: 4
      name: "test"
      template:
        spec:
          containers:
            - image: alpine
              command: ["/bin/sh", "-c", "sleep 1000"]
              imagePullPolicy: IfNotPresent
              name: running
              resources:
                requests:
                  cpu: "1"
          restartPolicy: OnFailure

    Run the following commands to issue the jobs:

    kubectl apply -f med_priority_job.yaml
kubectl apply -f low_priority_job.yaml

    Run the kubectl get pod command to check the statuses of the pods for the newly created workloads. The command output shows that the pods are pending due to insufficient resources:

    NAME                     READY   STATUS    RESTARTS   AGE
priority-high-test-0     1/1     Running   0          3m29s
priority-high-test-1     1/1     Running   0          3m29s
priority-high-test-2     1/1     Running   0          3m29s
priority-high-test-3     1/1     Running   0          3m29s
priority-low-test-0      0/1     Pending   0          2m26s
priority-low-test-1      0/1     Pending   0          2m26s
priority-low-test-2      0/1     Pending   0          2m26s
priority-low-test-3      0/1     Pending   0          2m26s
priority-medium-test-0   0/1     Pending   0          2m36s
priority-medium-test-1   0/1     Pending   0          2m36s
priority-medium-test-2   0/1     Pending   0          2m36s
priority-medium-test-3   0/1     Pending   0          2m36s

  5. Delete the high_priority_job workload to release resources and check whether the pods of the med-priority-job workload will be preferentially scheduled.

    Run the kubectl delete -f high_priority_job.yaml command to release cluster resources and check pod scheduling.

    NAME                     READY   STATUS    RESTARTS   AGE
priority-low-test-0      0/1     Pending   0          5m18s
priority-low-test-1      0/1     Pending   0          5m18s
priority-low-test-2      0/1     Pending   0          5m18s
priority-low-test-3      0/1     Pending   0          5m18s
priority-medium-test-0   1/1     Running   0          5m28s
priority-medium-test-1   1/1     Running   0          5m28s
priority-medium-test-2   1/1     Running   0          5m28s
priority-medium-test-3   1/1     Running   0          5m28s