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refactor: reorganize Helm chart structure and update service configurations
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396
deployment/helm/datamate/charts/ray-cluster/values.yaml
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396
deployment/helm/datamate/charts/ray-cluster/values.yaml
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# Default values for ray-cluster.
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# This is a YAML-formatted file.
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# Declare variables to be passed into your templates.
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# The KubeRay community welcomes PRs to expose additional configuration
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# in this Helm chart.
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image:
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repository: datamate-runtime
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tag: latest
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pullPolicy: IfNotPresent
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nameOverride: "kuberay"
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fullnameOverride: "datamate-raycluster"
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imagePullSecrets: []
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# - name: an-existing-secret
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# common defined values shared between the head and worker
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common:
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# containerEnv specifies environment variables for the Ray head and worker containers.
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# Follows standard K8s container env schema.
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containerEnv: []
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# - name: BLAH
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# value: VAL
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head:
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# rayVersion determines the autoscaler's image version.
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# It should match the Ray version in the image of the containers.
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# rayVersion: 2.46.0
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# If enableInTreeAutoscaling is true, the autoscaler sidecar will be added to the Ray head pod.
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# Ray autoscaler integration is supported only for Ray versions >= 1.11.0
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# Ray autoscaler integration is Beta with KubeRay >= 0.3.0 and Ray >= 2.0.0.
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# enableInTreeAutoscaling: true
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# autoscalerOptions is an OPTIONAL field specifying configuration overrides for the Ray autoscaler.
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# The example configuration shown below represents the DEFAULT values.
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# autoscalerOptions:
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# upscalingMode: Default
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# idleTimeoutSeconds is the number of seconds to wait before scaling down a worker pod which is not using Ray resources.
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# idleTimeoutSeconds: 60
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# imagePullPolicy optionally overrides the autoscaler container's default image pull policy (IfNotPresent).
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# imagePullPolicy: IfNotPresent
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# Optionally specify the autoscaler container's securityContext.
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# securityContext: {}
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# env: []
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# envFrom: []
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# resources specifies optional resource request and limit overrides for the autoscaler container.
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# For large Ray clusters, we recommend monitoring container resource usage to determine if overriding the defaults is required.
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# resources:
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# limits:
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# cpu: "500m"
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# memory: "512Mi"
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# requests:
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# cpu: "500m"
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# memory: "512Mi"
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initContainers: []
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labels: {}
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# Note: From KubeRay v0.6.0, users need to create the ServiceAccount by themselves if they specify the `serviceAccountName`
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# in the headGroupSpec. See https://github.com/ray-project/kuberay/pull/1128 for more details.
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serviceAccountName: ""
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restartPolicy: ""
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rayStartParams:
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object-store-memory: '78643200'
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# containerEnv specifies environment variables for the Ray container,
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# Follows standard K8s container env schema.
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containerEnv:
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- name: RAY_DEDUP_LOGS
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value: "0"
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- name: RAY_TQDM_PATCH_PRINT
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value: "0"
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- name: MYSQL_HOST
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value: "datamate-database"
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- name: MYSQL_PORT
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value: "3306"
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- name: MYSQL_USER
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value: "root"
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- name: MYSQL_PASSWORD
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value: "Huawei@123"
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- name: MYSQL_DATABASE
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value: "datamate"
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# - name: EXAMPLE_ENV
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# value: "1"
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envFrom: []
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# - secretRef:
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# name: my-env-secret
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# ports optionally allows specifying ports for the Ray container.
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# ports: []
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# resource requests and limits for the Ray head container.
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# Modify as needed for your application.
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# Note that the resources in this example are much too small for production;
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# we don't recommend allocating less than 8G memory for a Ray pod in production.
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# Ray pods should be sized to take up entire K8s nodes when possible.
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# Always set CPU and memory limits for Ray pods.
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# It is usually best to set requests equal to limits.
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# See https://docs.ray.io/en/latest/cluster/kubernetes/user-guides/config.html#resources
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# for further guidance.
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resources:
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limits:
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cpu: "2"
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# To avoid out-of-memory issues, never allocate less than 2G memory for the Ray head.
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memory: "4G"
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requests:
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cpu: "1"
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memory: "2G"
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annotations: {}
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nodeSelector: {}
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tolerations: []
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affinity: {}
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# Pod security context.
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podSecurityContext: {}
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# Ray container security context.
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securityContext: {}
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# Optional: The following volumes/volumeMounts configurations are optional but recommended because
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# Ray writes logs to /tmp/ray/session_latests/logs instead of stdout/stderr.
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volumes:
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- name: log-volume
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hostPath:
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path: /opt/datamate/data/log
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type: DirectoryOrCreate
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- name: dataset-volume
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hostPath:
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path: /opt/datamate/data/dataset
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type: DirectoryOrCreate
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- name: flow-volume
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hostPath:
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path: /opt/datamate/data/flow
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type: DirectoryOrCreate
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volumeMounts:
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- mountPath: /tmp/ray
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name: log-volume
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subPath: ray/head
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- mountPath: /dataset
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name: dataset-volume
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- mountPath: /flow
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name: flow-volume
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# sidecarContainers specifies additional containers to attach to the Ray pod.
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# Follows standard K8s container spec.
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sidecarContainers:
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- name: runtime
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image: datamate-runtime
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imagePullPolicy: IfNotPresent
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command:
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- python
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- /opt/runtime/datamate/operator_runtime.py
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- --port
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- "8081"
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env:
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- name: MYSQL_HOST
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value: "datamate-database"
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- name: MYSQL_PORT
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value: "3306"
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- name: MYSQL_USER
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value: "root"
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- name: MYSQL_PASSWORD
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value: "Huawei@123"
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- name: MYSQL_DATABASE
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value: "datamate"
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ports:
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- containerPort: 8081
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volumeMounts:
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- mountPath: /tmp/ray
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name: log-volume
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subPath: ray/head
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- mountPath: /var/log/datamate
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name: log-volume
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- mountPath: /dataset
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name: dataset-volume
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- mountPath: /flow
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name: flow-volume
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# See docs/guidance/pod-command.md for more details about how to specify
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# container command for head Pod.
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command: []
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args: []
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# Optional, for the user to provide any additional fields to the service.
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# See https://pkg.go.dev/k8s.io/Kubernetes/pkg/api/v1#Service
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headService: {}
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# metadata:
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# annotations:
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# prometheus.io/scrape: "true"
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# Custom pod DNS configuration
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# See https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#pod-dns-config
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# dnsConfig:
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# nameservers:
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# - 8.8.8.8
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# searches:
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# - example.local
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# options:
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# - name: ndots
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# value: "2"
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# - name: edns0
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topologySpreadConstraints: []
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worker:
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# If you want to disable the default workergroup
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# uncomment the line below
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# disabled: true
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groupName: workergroup
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replicas: 1
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minReplicas: 1
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maxReplicas: 3
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labels: {}
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serviceAccountName: ""
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restartPolicy: ""
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rayStartParams: {}
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initContainers: []
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# containerEnv specifies environment variables for the Ray container,
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# Follows standard K8s container env schema.
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containerEnv:
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- name: RAY_DEDUP_LOGS
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value: "0"
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- name: RAY_TQDM_PATCH_PRINT
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value: "0"
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- name: MYSQL_HOST
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value: "datamate-database"
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- name: MYSQL_PORT
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value: "3306"
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- name: MYSQL_USER
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value: "root"
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- name: MYSQL_PASSWORD
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value: "Huawei@123"
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- name: MYSQL_DATABASE
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value: "datamate"
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# - name: EXAMPLE_ENV
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# value: "1"
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envFrom: []
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# - secretRef:
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# name: my-env-secret
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# ports optionally allows specifying ports for the Ray container.
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# ports: []
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# resource requests and limits for the Ray head container.
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# Modify as needed for your application.
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# Note that the resources in this example are much too small for production;
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# we don't recommend allocating less than 8G memory for a Ray pod in production.
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# Ray pods should be sized to take up entire K8s nodes when possible.
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# Always set CPU and memory limits for Ray pods.
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# It is usually best to set requests equal to limits.
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# See https://docs.ray.io/en/latest/cluster/kubernetes/user-guides/config.html#resources
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# for further guidance.
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resources:
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limits:
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cpu: "4"
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memory: "8G"
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requests:
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cpu: "1"
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memory: "1G"
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annotations: {}
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nodeSelector: {}
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tolerations: []
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affinity: {}
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# Pod security context.
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podSecurityContext: {}
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# Ray container security context.
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securityContext: {}
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# Optional: The following volumes/volumeMounts configurations are optional but recommended because
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# Ray writes logs to /tmp/ray/session_latests/logs instead of stdout/stderr.
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volumes:
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- name: log-volume
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hostPath:
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path: /opt/datamate/data/log
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type: DirectoryOrCreate
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- name: dataset-volume
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hostPath:
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path: /opt/datamate/data/dataset
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type: DirectoryOrCreate
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- name: flow-volume
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hostPath:
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path: /opt/datamate/data/flow
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type: DirectoryOrCreate
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volumeMounts:
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- mountPath: /tmp/ray
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name: log-volume
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subPath: ray/worker
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- mountPath: /dataset
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name: dataset-volume
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- mountPath: /flow
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name: flow-volume
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# sidecarContainers specifies additional containers to attach to the Ray pod.
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# Follows standard K8s container spec.
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sidecarContainers: []
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# See docs/guidance/pod-command.md for more details about how to specify
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# container command for worker Pod.
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command: []
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args: []
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topologySpreadConstraints: []
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# Custom pod DNS configuration
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# See https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#pod-dns-config
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# dnsConfig:
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# nameservers:
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# - 8.8.8.8
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# searches:
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# - example.local
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# options:
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# - name: ndots
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# value: "2"
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# - name: edns0
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# The map's key is used as the groupName.
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# For example, key:small-group in the map below
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# will be used as the groupName
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additionalWorkerGroups:
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smallGroup:
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# Disabled by default
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disabled: true
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replicas: 0
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minReplicas: 0
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maxReplicas: 3
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labels: {}
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serviceAccountName: ""
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restartPolicy: ""
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rayStartParams: {}
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# containerEnv specifies environment variables for the Ray container,
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# Follows standard K8s container env schema.
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containerEnv: []
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# - name: EXAMPLE_ENV
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# value: "1"
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envFrom: []
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# - secretRef:
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# name: my-env-secret
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# ports optionally allows specifying ports for the Ray container.
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# ports: []
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# resource requests and limits for the Ray head container.
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# Modify as needed for your application.
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# Note that the resources in this example are much too small for production;
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# we don't recommend allocating less than 8G memory for a Ray pod in production.
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# Ray pods should be sized to take up entire K8s nodes when possible.
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# Always set CPU and memory limits for Ray pods.
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# It is usually best to set requests equal to limits.
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# See https://docs.ray.io/en/latest/cluster/kubernetes/user-guides/config.html#resources
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# for further guidance.
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resources:
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limits:
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cpu: 1
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memory: "1G"
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requests:
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cpu: 1
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memory: "1G"
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annotations: {}
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nodeSelector: {}
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tolerations: []
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affinity: {}
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# Pod security context.
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podSecurityContext: {}
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# Ray container security context.
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securityContext: {}
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# Optional: The following volumes/volumeMounts configurations are optional but recommended because
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# Ray writes logs to /tmp/ray/session_latests/logs instead of stdout/stderr.
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volumes:
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- name: log-volume
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hostPath:
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path: /opt/datamate/data/log
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type: DirectoryOrCreate
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- name: dataset-volume
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hostPath:
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path: /opt/datamate/data/dataset
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type: DirectoryOrCreate
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- name: flow-volume
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hostPath:
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path: /opt/datamate/data/flow
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type: DirectoryOrCreate
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volumeMounts:
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- mountPath: /tmp/ray
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name: log-volume
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subPath: ray
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- mountPath: /dataset
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name: dataset-volume
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- mountPath: /flow
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name: flow-volume
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sidecarContainers: []
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# See docs/guidance/pod-command.md for more details about how to specify
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# container command for worker Pod.
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command: []
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args: []
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# Topology Spread Constraints for worker pods
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# See: https://kubernetes.io/docs/concepts/scheduling-eviction/topology-spread-constraints/
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topologySpreadConstraints: []
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# Custom pod DNS configuration
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# See https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#pod-dns-config
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# dnsConfig:
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# nameservers:
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# - 8.8.8.8
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# searches:
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# - example.local
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# options:
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# - name: ndots
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# value: "2"
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# - name: edns0
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# Configuration for Head's Kubernetes Service
|
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service:
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# This is optional, and the default is ClusterIP.
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type: NodePort
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Block a user