帮你快速理解、总结文档立即下载

获取RayCluster的YAML内容

最近更新时间:2026-08-04 01:49:57

我的收藏

1. 接口描述

接口请求域名: dlc.tencentcloudapi.com 。

获取RayCluster的YAML内容

默认接口请求频率限制:20次/秒。

推荐使用 API Explorer
点击调试
API Explorer 提供了在线调用、签名验证、SDK 代码生成和快速检索接口等能力。您可查看每次调用的请求内容和返回结果以及自动生成 SDK 调用示例。

2. 输入参数

以下请求参数列表仅列出了接口请求参数和部分公共参数,完整公共参数列表见 公共请求参数

参数名称 必选 类型 描述
Action String 公共参数,本接口取值:GetRayClusterYaml。
Version String 公共参数,本接口取值:2021-01-25。
Region String 公共参数,详见产品支持的 地域列表,本接口仅支持其中的: ap-beijing, ap-chongqing, ap-guangzhou, ap-shanghai, ap-singapore 。
Id String

集群ID


示例值:raycluster-1778317700-lmxh

3. 输出参数

参数名称 类型 描述
Yaml String

RayCluster YAML


示例值:---apiVersion:
RequestId String 唯一请求 ID,由服务端生成,每次请求都会返回(若请求因其他原因未能抵达服务端,则该次请求不会获得 RequestId)。定位问题时需要提供该次请求的 RequestId。

4. 示例

示例1 获取RayCluster的YAML内容

输入示例

POST / HTTP/1.1
Host: dlc.tencentcloudapi.com
Content-Type: application/json
X-TC-Action: GetRayClusterYaml
<公共请求参数>

{
    "Id": "raycluster-1778317700-lmxh"
}

输出示例

{
    "Response": {
        "Yaml": "---\napiVersion: \"ray.io/v1\"\nkind: \"RayCluster\"\nmetadata:\n  creationTimestamp: \"2026-05-11T07:30:33Z\"\n  generation: 1\n  labels:\n    app.kubernetes.io/instance: \"raycluster-1778317700-lmxh\"\n    app.kubernetes.io/managed-by: \"neutrino-clustermanager\"\n    app.kubernetes.io/name: \"neutrino-cluster\"\n    kueue.x-k8s.io/priority-class: \"priority-50000\"\n    kueue.x-k8s.io/queue-name: \"dlc-ae511d85-default-lq\"\n    neutrino.io/appid: \"260090589\"\n    neutrino.io/cluster-type: \"cluster\"\n    neutrino.io/cluster-uuid: \"raycluster-1778317700-lmxh\"\n    queueName: \"default\"\n  name: \"raycluster-1778317700-lmxh\"\n  namespace: \"dlc-ae511d85\"\n  resourceVersion: \"30405449032\"\n  uid: \"b03b0966-ed84-4f0d-acb7-c3eeef1e116f\"\nspec:\n  autoscalerOptions:\n    env: []\n    envFrom: []\n    idleTimeoutSeconds: 60\n    imagePullPolicy: \"IfNotPresent\"\n    resources:\n      limits:\n        cpu: \"1\"\n        memory: \"2Gi\"\n      requests:\n        cpu: \"0\"\n        memory: \"0\"\n    securityContext: {}\n    upscalingMode: \"Default\"\n  enableInTreeAutoscaling: false\n  headGroupSpec:\n    enableIngress: true\n    rayStartParams:\n      dashboard-host: \"0.0.0.0\"\n      disable-usage-stats: \"true\"\n      object-store-memory: \"100000000\"\n    replicas: 1\n    resources:\n      cpu: \"0\"\n    template:\n      metadata:\n        annotations:\n          prometheus.io/path: \"/metrics\"\n          prometheus.io/port: \"8080\"\n          prometheus.io/scheme: \"http\"\n          prometheus.io/scrape: \"true\"\n        labels:\n          dlc/app-id: \"260090589\"\n          dlc/engine-id: \"raycluster-1778317700-lmxh\"\n          dlc/engine-name: \"raycluster-1778317700-lmxh\"\n          dlc/pay-mode: \"10\"\n          dlc/sub-uin: \"700002467852\"\n          dlc/task-id: \"raycluster-1778317700-lmxh\"\n          dlc/task-type: \"RAY_CLUSTER\"\n          dlc/uin: \"700002467852\"\n          neutrino.io/cluster-uuid: \"raycluster-1778317700-lmxh\"\n          neutrino.io/node-type: \"head\"\n          pod-role: \"header\"\n      spec:\n        containers:\n        - env:\n          - name: \"TZ\"\n            value: \"Asia/Shanghai\"\n          - name: \"RAY_CLUSTER_UUID\"\n            value: \"raycluster-1778317700-lmxh\"\n          - name: \"RAY_GRAFANA_HOST\"\n            value: \"http://grafana.monitor.svc.cluster.local:3000\"\n          - name: \"RAY_GRAFANA_IFRAME_HOST\"\n            value: \"https://test-tcray-gateway-guangzhou.cloud.tencent.com/grafana\"\n          - name: \"RAY_GRAFANA_CLUSTER_FILTER\"\n            valueFrom:\n              fieldRef:\n                fieldPath: \"metadata.labels['ray.io/cluster']\"\n          image: \"rayproject/ray:2.53.0\"\n          imagePullPolicy: \"IfNotPresent\"\n          name: \"ray-head\"\n          ports:\n          - containerPort: 6379\n            name: \"gcs-server\"\n            protocol: \"TCP\"\n          - containerPort: 8265\n            name: \"dashboard\"\n            protocol: \"TCP\"\n          - containerPort: 10001\n            name: \"client\"\n            protocol: \"TCP\"\n          resources:\n            limits:\n              cpu: \"1\"\n              memory: \"2Gi\"\n            requests:\n              cpu: \"1\"\n              memory: \"2Gi\"\n          securityContext:\n            privileged: true\n  rayVersion: \"2.53.0\"\n  workerGroupSpecs:\n  - groupName: \"default-worker\"\n    maxReplicas: 1\n    minReplicas: 1\n    numOfHosts: 1\n    rayStartParams: {}\n    replicas: 1\n    template:\n      metadata:\n        labels:\n          dlc/app-id: \"260090589\"\n          dlc/engine-id: \"raycluster-1778317700-lmxh\"\n          dlc/engine-name: \"raycluster-1778317700-lmxh\"\n          dlc/pay-mode: \"10\"\n          dlc/sub-uin: \"700002467852\"\n          dlc/task-id: \"raycluster-1778317700-lmxh\"\n          dlc/task-type: \"RAY_CLUSTER\"\n          dlc/uin: \"700002467852\"\n          neutrino.io/cluster-uuid: \"raycluster-1778317700-lmxh\"\n          neutrino.io/node-type: \"worker\"\n          pod-role: \"worker\"\n      spec:\n        containers:\n        - env:\n          - name: \"TZ\"\n            value: \"Asia/Shanghai\"\n          - name: \"RAY_CLUSTER_UUID\"\n            value: \"raycluster-1778317700-lmxh\"\n          image: \"rayproject/ray:2.53.0\"\n          imagePullPolicy: \"IfNotPresent\"\n          name: \"ray-worker\"\n          resources:\n            limits:\n              cpu: \"1\"\n              memory: \"2Gi\"\n            requests:\n              cpu: \"1\"\n              memory: \"2Gi\"\n          securityContext:\n            privileged: true\nstatus:\n  availableWorkerReplicas: 1\n  conditions:\n  - lastTransitionTime: \"2026-05-11T07:37:15Z\"\n    message: \"\"\n    reason: \"HeadPodRunningAndReady\"\n    status: \"True\"\n    type: \"HeadPodReady\"\n  - lastTransitionTime: \"2026-05-11T07:37:28Z\"\n    message: \"All Ray Pods are ready for the first time\"\n    reason: \"AllPodRunningAndReadyFirstTime\"\n    status: \"True\"\n    type: \"RayClusterProvisioned\"\n  - lastTransitionTime: \"2026-05-11T07:30:34Z\"\n    message: \"\"\n    reason: \"RayClusterSuspended\"\n    status: \"False\"\n    type: \"RayClusterSuspended\"\n  - lastTransitionTime: \"2026-05-11T07:30:34Z\"\n    message: \"\"\n    reason: \"RayClusterSuspending\"\n    status: \"False\"\n    type: \"RayClusterSuspending\"\n  desiredCPU: \"2\"\n  desiredGPU: \"0\"\n  desiredMemory: \"4Gi\"\n  desiredTPU: \"0\"\n  desiredWorkerReplicas: 1\n  endpoints:\n    client: \"10001\"\n    dashboard: \"8265\"\n    gcs-server: \"6379\"\n    metrics: \"8080\"\n  head:\n    podIP: \"10.1.0.119\"\n    podName: \"raycluster-1778317700-lmxh-head-vqfsw\"\n    serviceIP: \"10.1.0.119\"\n    serviceName: \"raycluster-1778317700-lmxh-head-svc\"\n  lastUpdateTime: \"2026-05-11T07:37:28Z\"\n  maxWorkerReplicas: 1\n  minWorkerReplicas: 1\n  observedGeneration: 1\n  readyWorkerReplicas: 1\n  state: \"ready\"\n  stateTransitionTimes:\n    ready: \"2026-05-11T07:37:28Z\"\n",
        "RequestId": "e7aab6f6-b179-4f34-b1e2-a9e56d176e20"
    }
}

5. 开发者资源

腾讯云 API 平台

腾讯云 API 平台 是综合 API 文档、错误码、API Explorer 及 SDK 等资源的统一查询平台,方便您从同一入口查询及使用腾讯云提供的所有 API 服务。

API Inspector

用户可通过 API Inspector 查看控制台每一步操作关联的 API 调用情况,并自动生成各语言版本的 API 代码,也可前往 API Explorer 进行在线调试。

SDK

云 API 3.0 提供了配套的开发工具集(SDK),支持多种编程语言,能更方便的调用 API。

命令行工具

6. 错误码

该接口暂无业务逻辑相关的错误码,其他错误码详见 公共错误码