API Reference¶
Packages¶
ray.io/v1¶
Package v1 contains API Schema definitions for the ray v1 API group
Resource Types¶
AutoscalerOptions¶
AutoscalerOptions specifies optional configuration for the Ray autoscaler.
Appears in: - RayClusterSpec
| Field | Description |
|---|---|
resources ResourceRequirements |
Resources specifies optional resource request and limit overrides for the autoscaler container. Default values: 500m CPU request and limit. 512Mi memory request and limit. |
image string |
Image optionally overrides the autoscaler's container image. This override is for provided for autoscaler testing and development. |
imagePullPolicy PullPolicy |
ImagePullPolicy optionally overrides the autoscaler container's image pull policy. This override is for provided for autoscaler testing and development. |
env EnvVar array |
Optional list of environment variables to set in the autoscaler container. |
envFrom EnvFromSource array |
Optional list of sources to populate environment variables in the autoscaler container. |
volumeMounts VolumeMount array |
Optional list of volumeMounts. This is needed for enabling TLS for the autoscaler container. |
securityContext SecurityContext |
SecurityContext defines the security options the container should be run with. If set, the fields of SecurityContext override the equivalent fields of PodSecurityContext. More info: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/ |
idleTimeoutSeconds integer |
IdleTimeoutSeconds is the number of seconds to wait before scaling down a worker pod which is not using Ray resources. Defaults to 60 (one minute). It is not read by the KubeRay operator but by the Ray autoscaler. |
upscalingMode UpscalingMode |
UpscalingMode is "Conservative", "Default", or "Aggressive." Conservative: Upscaling is rate-limited; the number of pending worker pods is at most the size of the Ray cluster. Default: Upscaling is not rate-limited. Aggressive: An alias for Default; upscaling is not rate-limited. It is not read by the KubeRay operator but by the Ray autoscaler. |
HeadGroupSpec¶
HeadGroupSpec are the spec for the head pod
Appears in: - RayClusterSpec
| Field | Description |
|---|---|
serviceType ServiceType |
ServiceType is Kubernetes service type of the head service. it will be used by the workers to connect to the head pod |
headService Service |
HeadService is the Kubernetes service of the head pod. |
enableIngress boolean |
EnableIngress indicates whether operator should create ingress object for head service or not. |
rayStartParams object (keys:string, values:string) |
RayStartParams are the params of the start command: node-manager-port, object-store-memory, ... |
template PodTemplateSpec |
Template is the exact pod template used in K8s depoyments, statefulsets, etc. |
JobFailedReason¶
Underlying type: string
JobFailedReason indicates the reason the RayJob changes its JobDeploymentStatus to 'Failed'
Appears in: - RayJobStatus
JobSubmissionMode¶
Underlying type: string
Appears in: - RayJobSpec
RayCluster¶
RayCluster is the Schema for the RayClusters API
| Field | Description |
|---|---|
apiVersion string |
ray.io/v1 |
kind string |
RayCluster |
metadata ObjectMeta |
Refer to Kubernetes API documentation for fields of metadata. |
spec RayClusterSpec |
Specification of the desired behavior of the RayCluster. |
RayClusterSpec¶
RayClusterSpec defines the desired state of RayCluster
Appears in: - RayCluster - RayJobSpec - RayServiceSpec
| Field | Description |
|---|---|
headGroupSpec HeadGroupSpec |
INSERT ADDITIONAL SPEC FIELDS - desired state of cluster Important: Run "make" to regenerate code after modifying this file HeadGroupSpecs are the spec for the head pod |
workerGroupSpecs WorkerGroupSpec array |
WorkerGroupSpecs are the specs for the worker pods |
rayVersion string |
RayVersion is used to determine the command for the Kubernetes Job managed by RayJob |
enableInTreeAutoscaling boolean |
EnableInTreeAutoscaling indicates whether operator should create in tree autoscaling configs |
autoscalerOptions AutoscalerOptions |
AutoscalerOptions specifies optional configuration for the Ray autoscaler. |
headServiceAnnotations object (keys:string, values:string) |
|
suspend boolean |
Suspend indicates whether a RayCluster should be suspended. A suspended RayCluster will have head pods and worker pods deleted. |
RayJob¶
RayJob is the Schema for the rayjobs API
| Field | Description |
|---|---|
apiVersion string |
ray.io/v1 |
kind string |
RayJob |
metadata ObjectMeta |
Refer to Kubernetes API documentation for fields of metadata. |
spec RayJobSpec |
RayJobSpec¶
RayJobSpec defines the desired state of RayJob
Appears in: - RayJob
| Field | Description |
|---|---|
entrypoint string |
INSERT ADDITIONAL SPEC FIELDS - desired state of cluster Important: Run "make" to regenerate code after modifying this file |
metadata object (keys:string, values:string) |
Refer to Kubernetes API documentation for fields of metadata. |
runtimeEnvYAML string |
RuntimeEnvYAML represents the runtime environment configuration provided as a multi-line YAML string. |
jobId string |
If jobId is not set, a new jobId will be auto-generated. |
shutdownAfterJobFinishes boolean |
ShutdownAfterJobFinishes will determine whether to delete the ray cluster once rayJob succeed or failed. |
ttlSecondsAfterFinished integer |
TTLSecondsAfterFinished is the TTL to clean up RayCluster. It's only working when ShutdownAfterJobFinishes set to true. |
activeDeadlineSeconds integer |
ActiveDeadlineSeconds is the duration in seconds that the RayJob may be active before KubeRay actively tries to terminate the RayJob; value must be positive integer. |
rayClusterSpec RayClusterSpec |
RayClusterSpec is the cluster template to run the job |
clusterSelector object (keys:string, values:string) |
clusterSelector is used to select running rayclusters by labels |
submissionMode JobSubmissionMode |
SubmissionMode specifies how RayJob submits the Ray job to the RayCluster. In "K8sJobMode", the KubeRay operator creates a submitter Kubernetes Job to submit the Ray job. In "HTTPMode", the KubeRay operator sends a request to the RayCluster to create a Ray job. |
suspend boolean |
suspend specifies whether the RayJob controller should create a RayCluster instance If a job is applied with the suspend field set to true, the RayCluster will not be created and will wait for the transition to false. If the RayCluster is already created, it will be deleted. In case of transition to false a new RayCluster will be created. |
submitterPodTemplate PodTemplateSpec |
SubmitterPodTemplate is the template for the pod that will run ray job submit. |
entrypointNumCpus float |
EntrypointNumCpus specifies the number of cpus to reserve for the entrypoint command. |
entrypointNumGpus float |
EntrypointNumGpus specifies the number of gpus to reserve for the entrypoint command. |
entrypointResources string |
EntrypointResources specifies the custom resources and quantities to reserve for the entrypoint command. |
RayService¶
RayService is the Schema for the rayservices API
| Field | Description |
|---|---|
apiVersion string |
ray.io/v1 |
kind string |
RayService |
metadata ObjectMeta |
Refer to Kubernetes API documentation for fields of metadata. |
spec RayServiceSpec |
RayServiceSpec¶
RayServiceSpec defines the desired state of RayService
Appears in: - RayService
| Field | Description |
|---|---|
serveConfigV2 string |
Important: Run "make" to regenerate code after modifying this file Defines the applications and deployments to deploy, should be a YAML multi-line scalar string. |
rayClusterConfig RayClusterSpec |
|
serviceUnhealthySecondThreshold integer |
Deprecated: This field is not used anymore. ref: https://github.com/ray-project/kuberay/issues/1685 |
deploymentUnhealthySecondThreshold integer |
Deprecated: This field is not used anymore. ref: https://github.com/ray-project/kuberay/issues/1685 |
serveService Service |
ServeService is the Kubernetes service for head node and worker nodes who have healthy http proxy to serve traffics. |
ScaleStrategy¶
ScaleStrategy to remove workers
Appears in: - WorkerGroupSpec
| Field | Description |
|---|---|
workersToDelete string array |
WorkersToDelete workers to be deleted |
UpscalingMode¶
Underlying type: string
Appears in: - AutoscalerOptions
WorkerGroupSpec¶
WorkerGroupSpec are the specs for the worker pods
Appears in: - RayClusterSpec
| Field | Description |
|---|---|
groupName string |
we can have multiple worker groups, we distinguish them by name |
replicas integer |
Replicas is the number of desired Pods for this worker group. See https://github.com/ray-project/kuberay/pull/1443 for more details about the reason for making this field optional. |
minReplicas integer |
MinReplicas denotes the minimum number of desired Pods for this worker group. |
maxReplicas integer |
MaxReplicas denotes the maximum number of desired Pods for this worker group, and the default value is maxInt32. |
numOfHosts integer |
NumOfHosts denotes the number of hosts to create per replica. The default value is 1. |
rayStartParams object (keys:string, values:string) |
RayStartParams are the params of the start command: address, object-store-memory, ... |
template PodTemplateSpec |
Template is a pod template for the worker |
scaleStrategy ScaleStrategy |
ScaleStrategy defines which pods to remove |
ray.io/v1alpha1¶
Package v1alpha1 contains API Schema definitions for the ray v1alpha1 API group
Resource Types¶
AutoscalerOptions¶
AutoscalerOptions specifies optional configuration for the Ray autoscaler.
Appears in: - RayClusterSpec
| Field | Description |
|---|---|
resources ResourceRequirements |
Resources specifies optional resource request and limit overrides for the autoscaler container. Default values: 500m CPU request and limit. 512Mi memory request and limit. |
image string |
Image optionally overrides the autoscaler's container image. This override is for provided for autoscaler testing and development. |
imagePullPolicy PullPolicy |
ImagePullPolicy optionally overrides the autoscaler container's image pull policy. This override is for provided for autoscaler testing and development. |
env EnvVar array |
Optional list of environment variables to set in the autoscaler container. |
envFrom EnvFromSource array |
Optional list of sources to populate environment variables in the autoscaler container. |
volumeMounts VolumeMount array |
Optional list of volumeMounts. This is needed for enabling TLS for the autoscaler container. |
securityContext SecurityContext |
SecurityContext defines the security options the container should be run with. If set, the fields of SecurityContext override the equivalent fields of PodSecurityContext. More info: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/ |
idleTimeoutSeconds integer |
IdleTimeoutSeconds is the number of seconds to wait before scaling down a worker pod which is not using Ray resources. Defaults to 60 (one minute). It is not read by the KubeRay operator but by the Ray autoscaler. |
upscalingMode UpscalingMode |
UpscalingMode is "Conservative", "Default", or "Aggressive." Conservative: Upscaling is rate-limited; the number of pending worker pods is at most the size of the Ray cluster. Default: Upscaling is not rate-limited. Aggressive: An alias for Default; upscaling is not rate-limited. It is not read by the KubeRay operator but by the Ray autoscaler. |
HeadGroupSpec¶
HeadGroupSpec are the spec for the head pod
Appears in: - RayClusterSpec
| Field | Description |
|---|---|
serviceType ServiceType |
ServiceType is Kubernetes service type of the head service. it will be used by the workers to connect to the head pod |
headService Service |
HeadService is the Kubernetes service of the head pod. |
enableIngress boolean |
EnableIngress indicates whether operator should create ingress object for head service or not. |
rayStartParams object (keys:string, values:string) |
RayStartParams are the params of the start command: node-manager-port, object-store-memory, ... |
template PodTemplateSpec |
Template is the exact pod template used in K8s depoyments, statefulsets, etc. |
RayCluster¶
RayCluster is the Schema for the RayClusters API
| Field | Description |
|---|---|
apiVersion string |
ray.io/v1alpha1 |
kind string |
RayCluster |
metadata ObjectMeta |
Refer to Kubernetes API documentation for fields of metadata. |
spec RayClusterSpec |
Specification of the desired behavior of the RayCluster. |
RayClusterSpec¶
RayClusterSpec defines the desired state of RayCluster
Appears in: - RayCluster - RayJobSpec - RayServiceSpec
| Field | Description |
|---|---|
headGroupSpec HeadGroupSpec |
INSERT ADDITIONAL SPEC FIELDS - desired state of cluster Important: Run "make" to regenerate code after modifying this file HeadGroupSpecs are the spec for the head pod |
workerGroupSpecs WorkerGroupSpec array |
WorkerGroupSpecs are the specs for the worker pods |
rayVersion string |
RayVersion is used to determine the command for the Kubernetes Job managed by RayJob |
enableInTreeAutoscaling boolean |
EnableInTreeAutoscaling indicates whether operator should create in tree autoscaling configs |
autoscalerOptions AutoscalerOptions |
AutoscalerOptions specifies optional configuration for the Ray autoscaler. |
headServiceAnnotations object (keys:string, values:string) |
|
suspend boolean |
Suspend indicates whether a RayCluster should be suspended. A suspended RayCluster will have head pods and worker pods deleted. |
RayJob¶
RayJob is the Schema for the rayjobs API
| Field | Description |
|---|---|
apiVersion string |
ray.io/v1alpha1 |
kind string |
RayJob |
metadata ObjectMeta |
Refer to Kubernetes API documentation for fields of metadata. |
spec RayJobSpec |
RayJobSpec¶
RayJobSpec defines the desired state of RayJob
Appears in: - RayJob
| Field | Description |
|---|---|
entrypoint string |
INSERT ADDITIONAL SPEC FIELDS - desired state of cluster Important: Run "make" to regenerate code after modifying this file |
metadata object (keys:string, values:string) |
Refer to Kubernetes API documentation for fields of metadata. |
runtimeEnvYAML string |
RuntimeEnvYAML represents the runtime environment configuration provided as a multi-line YAML string. |
jobId string |
If jobId is not set, a new jobId will be auto-generated. |
shutdownAfterJobFinishes boolean |
ShutdownAfterJobFinishes will determine whether to delete the ray cluster once rayJob succeed or failed. |
ttlSecondsAfterFinished integer |
TTLSecondsAfterFinished is the TTL to clean up RayCluster. It's only working when ShutdownAfterJobFinishes set to true. |
rayClusterSpec RayClusterSpec |
RayClusterSpec is the cluster template to run the job |
clusterSelector object (keys:string, values:string) |
clusterSelector is used to select running rayclusters by labels |
suspend boolean |
suspend specifies whether the RayJob controller should create a RayCluster instance If a job is applied with the suspend field set to true, the RayCluster will not be created and will wait for the transition to false. If the RayCluster is already created, it will be deleted. In case of transition to false a new RayCluster will be created. |
submitterPodTemplate PodTemplateSpec |
SubmitterPodTemplate is the template for the pod that will run ray job submit. |
entrypointNumCpus float |
EntrypointNumCpus specifies the number of cpus to reserve for the entrypoint command. |
entrypointNumGpus float |
EntrypointNumGpus specifies the number of gpus to reserve for the entrypoint command. |
entrypointResources string |
EntrypointResources specifies the custom resources and quantities to reserve for the entrypoint command. |
RayService¶
RayService is the Schema for the rayservices API
| Field | Description |
|---|---|
apiVersion string |
ray.io/v1alpha1 |
kind string |
RayService |
metadata ObjectMeta |
Refer to Kubernetes API documentation for fields of metadata. |
spec RayServiceSpec |
RayServiceSpec¶
RayServiceSpec defines the desired state of RayService
Appears in: - RayService
| Field | Description |
|---|---|
serveConfigV2 string |
Important: Run "make" to regenerate code after modifying this file Defines the applications and deployments to deploy, should be a YAML multi-line scalar string. |
rayClusterConfig RayClusterSpec |
|
serviceUnhealthySecondThreshold integer |
Deprecated: This field is not used anymore. ref: https://github.com/ray-project/kuberay/issues/1685 |
deploymentUnhealthySecondThreshold integer |
Deprecated: This field is not used anymore. ref: https://github.com/ray-project/kuberay/issues/1685 |
serveService Service |
ServeService is the Kubernetes service for head node and worker nodes who have healthy http proxy to serve traffics. |
ScaleStrategy¶
ScaleStrategy to remove workers
Appears in: - WorkerGroupSpec
| Field | Description |
|---|---|
workersToDelete string array |
WorkersToDelete workers to be deleted |
UpscalingMode¶
Underlying type: string
Appears in: - AutoscalerOptions
WorkerGroupSpec¶
WorkerGroupSpec are the specs for the worker pods
Appears in: - RayClusterSpec
| Field | Description |
|---|---|
groupName string |
we can have multiple worker groups, we distinguish them by name |
replicas integer |
Replicas is the number of desired Pods for this worker group. See https://github.com/ray-project/kuberay/pull/1443 for more details about the reason for making this field optional. |
minReplicas integer |
MinReplicas denotes the minimum number of desired Pods for this worker group. |
maxReplicas integer |
MaxReplicas denotes the maximum number of desired Pods for this worker group, and the default value is maxInt32. |
rayStartParams object (keys:string, values:string) |
RayStartParams are the params of the start command: address, object-store-memory, ... |
template PodTemplateSpec |
Template is a pod template for the worker |
scaleStrategy ScaleStrategy |
ScaleStrategy defines which pods to remove |