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3.2.2. 创建调度程序策略文件

3.2.2. 创建调度程序策略文件

您可以通过使用所需的 predicates 和 priorities 创建 JSON 文件来更改默认调度行为。然后，您可以通过 JSON 文件生成配置映射，并将 cluster 调度程序对象指定为使用该配置映射。

流程

配置调度程序策略：

使用所需的 predicates 和 priorities，创建一个名为 policy.cfg 的 JSON 文件。

调度程序 JSON 文件示例

{
"kind" : "Policy",
"apiVersion" : "v1",
"predicates" : [ 
        {"name" : "MaxGCEPDVolumeCount"},
        {"name" : "GeneralPredicates"},
        {"name" : "MaxAzureDiskVolumeCount"},
        {"name" : "MaxCSIVolumeCountPred"},
        {"name" : "CheckVolumeBinding"},
        {"name" : "MaxEBSVolumeCount"},
        {"name" : "MatchInterPodAffinity"},
        {"name" : "CheckNodeUnschedulable"},
        {"name" : "NoDiskConflict"},
        {"name" : "NoVolumeZoneConflict"},
        {"name" : "PodToleratesNodeTaints"}
        ],
"priorities" : [ 
        {"name" : "LeastRequestedPriority", "weight" : 1},
        {"name" : "BalancedResourceAllocation", "weight" : 1},
        {"name" : "ServiceSpreadingPriority", "weight" : 1},
        {"name" : "NodePreferAvoidPodsPriority", "weight" : 1},
        {"name" : "NodeAffinityPriority", "weight" : 1},
        {"name" : "TaintTolerationPriority", "weight" : 1},
        {"name" : "ImageLocalityPriority", "weight" : 1},
        {"name" : "SelectorSpreadPriority", "weight" : 1},
        {"name" : "InterPodAffinityPriority", "weight" : 1},
        {"name" : "EqualPriority", "weight" : 1}
        ]
}

{
"kind" : "Policy",
"apiVersion" : "v1",
"predicates" : [


        {"name" : "MaxGCEPDVolumeCount"},
        {"name" : "GeneralPredicates"},
        {"name" : "MaxAzureDiskVolumeCount"},
        {"name" : "MaxCSIVolumeCountPred"},
        {"name" : "CheckVolumeBinding"},
        {"name" : "MaxEBSVolumeCount"},
        {"name" : "MatchInterPodAffinity"},
        {"name" : "CheckNodeUnschedulable"},
        {"name" : "NoDiskConflict"},
        {"name" : "NoVolumeZoneConflict"},
        {"name" : "PodToleratesNodeTaints"}
        ],
"priorities" : [


        {"name" : "LeastRequestedPriority", "weight" : 1},
        {"name" : "BalancedResourceAllocation", "weight" : 1},
        {"name" : "ServiceSpreadingPriority", "weight" : 1},
        {"name" : "NodePreferAvoidPodsPriority", "weight" : 1},
        {"name" : "NodeAffinityPriority", "weight" : 1},
        {"name" : "TaintTolerationPriority", "weight" : 1},
        {"name" : "ImageLocalityPriority", "weight" : 1},
        {"name" : "SelectorSpreadPriority", "weight" : 1},
        {"name" : "InterPodAffinityPriority", "weight" : 1},
        {"name" : "EqualPriority", "weight" : 1}
        ]
}

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1: 根据需要添加 predicates。
2: 根据需要添加 priorities。

根据调度程序 JSON 文件创建配置映射：

oc create configmap -n openshift-config --from-file=policy.cfg <configmap-name>

$ oc create configmap -n openshift-config --from-file=policy.cfg <configmap-name>

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1: 输入配置映射的名称。

例如：

oc create configmap -n openshift-config --from-file=policy.cfg scheduler-policy

$ oc create configmap -n openshift-config --from-file=policy.cfg scheduler-policy

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输出示例

configmap/scheduler-policy created

configmap/scheduler-policy created

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提示

您还可以应用以下 YAML 来创建配置映射：

kind: ConfigMap
apiVersion: v1
metadata:
  name: scheduler-policy
  namespace: openshift-config
data: 
  policy.cfg: |
    {
    "kind": "Policy",
    "apiVersion": "v1",
    "predicates": [
        {
            "name": "RequireRegion",
            "argument": {
                "labelPreference":
                    {"label": "region"},
                    {"presence": true}
            }
         }
      ],
    "priorities": [
        {
            "name":"ZonePreferred",
            "weight" : 1,
            "argument": {
                "labelPreference":
                    {"label": "zone"},
                    {"presence": true}
               }
           }
       ]
    }

kind: ConfigMap
apiVersion: v1
metadata:
  name: scheduler-policy
  namespace: openshift-config
data:


  policy.cfg: |
    {
    "kind": "Policy",
    "apiVersion": "v1",
    "predicates": [
        {
            "name": "RequireRegion",
            "argument": {
                "labelPreference":
                    {"label": "region"},
                    {"presence": true}
            }
         }
      ],
    "priorities": [
        {
            "name":"ZonePreferred",
            "weight" : 1,
            "argument": {
                "labelPreference":
                    {"label": "zone"},
                    {"presence": true}
               }
           }
       ]
    }

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1: 带有 predicates 和 priorities 的 JSON 格式的 policy.cfg 文件。

编辑调度程序 Operator 自定义资源以添加配置映射：

oc patch Scheduler cluster --type='merge' -p '{"spec":{"policy":{"name":"<configmap-name>"}}}' --type=merge

$ oc patch Scheduler cluster --type='merge' -p '{"spec":{"policy":{"name":"<configmap-name>"}}}' --type=merge

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1: 指定配置映射的名称。

例如：

oc patch Scheduler cluster --type='merge' -p '{"spec":{"policy":{"name":"scheduler-policy"}}}' --type=merge

$ oc patch Scheduler cluster --type='merge' -p '{"spec":{"policy":{"name":"scheduler-policy"}}}' --type=merge

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提示

您还可以应用以下 YAML 来添加配置映射：

apiVersion: config.openshift.io/v1
kind: Scheduler
metadata:
  name: cluster
spec:
  mastersSchedulable: false
  policy:
    name: scheduler-policy

apiVersion: config.openshift.io/v1
kind: Scheduler
metadata:
  name: cluster
spec:
  mastersSchedulable: false
  policy:
    name: scheduler-policy

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1: 添加调度程序策略配置映射的名称。

在修改了 Scheduler 配置资源后，等待 openshift-kube-apiserver pod 重新部署。这可能需要几分钟。只有重新部署 pod 后，新的调度程序才会生效。

通过查看 openshift-kube-scheduler 命名空间中调度程序 pod 的日志，来验证已配置调度程序策略。以下命令检查由调度程序注册的 predicates 和 priorities：

oc logs <scheduler-pod> | grep predicates

$ oc logs <scheduler-pod> | grep predicates

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例如：

oc logs openshift-kube-scheduler-ip-10-0-141-29.ec2.internal | grep predicates

$ oc logs openshift-kube-scheduler-ip-10-0-141-29.ec2.internal | grep predicates

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输出示例

Creating scheduler with fit predicates 'map[MaxGCEPDVolumeCount:{} MaxAzureDiskVolumeCount:{} CheckNodeUnschedulable:{} NoDiskConflict:{} NoVolumeZoneConflict:{} GeneralPredicates:{} MaxCSIVolumeCountPred:{} CheckVolumeBinding:{} MaxEBSVolumeCount:{} MatchInterPodAffinity:{} PodToleratesNodeTaints:{}]' and priority functions 'map[InterPodAffinityPriority:{} LeastRequestedPriority:{} ServiceSpreadingPriority:{} ImageLocalityPriority:{} SelectorSpreadPriority:{} EqualPriority:{} BalancedResourceAllocation:{} NodePreferAvoidPodsPriority:{} NodeAffinityPriority:{} TaintTolerationPriority:{}]'

Creating scheduler with fit predicates 'map[MaxGCEPDVolumeCount:{} MaxAzureDiskVolumeCount:{} CheckNodeUnschedulable:{} NoDiskConflict:{} NoVolumeZoneConflict:{} GeneralPredicates:{} MaxCSIVolumeCountPred:{} CheckVolumeBinding:{} MaxEBSVolumeCount:{} MatchInterPodAffinity:{} PodToleratesNodeTaints:{}]' and priority functions 'map[InterPodAffinityPriority:{} LeastRequestedPriority:{} ServiceSpreadingPriority:{} ImageLocalityPriority:{} SelectorSpreadPriority:{} EqualPriority:{} BalancedResourceAllocation:{} NodePreferAvoidPodsPriority:{} NodeAffinityPriority:{} TaintTolerationPriority:{}]'

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3.2.2. 创建调度程序策略文件

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