[feat][plugin] support creating RayCluster with config file #3225

davidxia · 2025-03-25T20:23:20Z

as described in the Ray Kubectl Plugin 1.4.0 Wishlist.

Here are the resulting RayCluster YAMLs after running kubectl ray create cluster dxia-test --file /path/to/file.yaml --dry-run on various config files.

RayCluster from a minimal config file

worker-groups:
- replicas: 1
  gpu: 1

apiVersion: ray.io/v1
kind: RayCluster
metadata:
  name: dxia-test
  namespace: default
spec:
  headGroupSpec:
    rayStartParams:
      dashboard-host: 0.0.0.0
    template:
      spec:
        containers:
        - image: rayproject/ray:2.41.0
          name: ray-head
          ports:
          - containerPort: 6379
            name: gcs-server
          - containerPort: 8265
            name: dashboard
          - containerPort: 10001
            name: client
          resources:
            limits:
              memory: 4Gi
            requests:
              cpu: "2"
              memory: 4Gi
  rayVersion: 2.41.0
  workerGroupSpecs:
  - groupName: default-group
    rayStartParams:
      metrics-export-port: "8080"
    replicas: 1
    template:
      spec:
        containers:
        - image: rayproject/ray:2.41.0
          name: ray-worker
          resources:
            limits:
              nvidia.com/gpu: "1"
            requests:
              nvidia.com/gpu: "1"

RayCluster from a full config file

namespace: hyperkube
name: dxia-test

labels:
  foo: bar
annotations:
  dead: beef

ray-version: 2.44.0
image: rayproject/ray:2.44.0

head:
  cpu: 3
  memory: 5Gi
  gpu: 0
  ephemeral-storage: 8Gi
  ray-start-params:
    metrics-export-port: 8082
  node-selectors:
    foo: bar
    baz: qux

worker-groups:
- name: cpu-workers
  replicas: 1
  cpu: 2
  memory: 4Gi
  gpu: 0
  ephemeral-storage: 12Gi
  ray-start-params:
    metrics-export-port: 8081
  node-selectors:
    hi: there
- name: gpu-workers
  replicas: 1
  cpu: 3
  memory: 6Gi
  gpu: 1
  ephemeral-storage: 13Gi
  ray-start-params:
    metrics-export-port: 8081

gke:
  # Cloud Storage FUSE options
  gcsfuse:
    # Required bucket name
    bucket-name: my-bucket
    # Required mount path where bucket will be mounted in both head and worker nodes
    mount-path: /mnt/cluster_storage
    # See the Cloud Storage FUSE CLI file docs for all supported mount options.
    # https://cloud.google.com/storage/docs/cloud-storage-fuse/cli-options#options
    mount-options: "implicit-dirs,uid=1000,gid=100"
    # Optional resource configs for Cloud Storage FUSE CSI driver sidecar container
    resources:
      cpu: 250m
      memory: 256Mi
      ephemeral-storage: 5Gi
    # Optional volume attributes for Cloud Storage FUSE CSI driver
    # from the following page excluding the ones that Google recommends you set as mount options.
    # https://cloud.google.com/kubernetes-engine/docs/reference/cloud-storage-fuse-csi-driver/volume-attr
    disable-metrics: true
    gcsfuse-metadata-prefetch-on-mount: false
    skip-csi-bucket-access-check: false

apiVersion: ray.io/v1
kind: RayCluster
metadata:
  annotations:
    dead: beef
  labels:
    foo: bar
  name: dxia-test
  namespace: hyperkube
spec:
  headGroupSpec:
    rayStartParams:
      dashboard-host: 0.0.0.0
      metrics-export-port: "8082"
    template:
      metadata:
        annotations:
          gke-gcsfuse/cpu-request: 250m
          gke-gcsfuse/ephemeral-storage-limit: 5Gi
          gke-gcsfuse/ephemeral-storage-request: 5Gi
          gke-gcsfuse/memory-limit: 256Mi
          gke-gcsfuse/memory-request: 256Mi
      spec:
        containers:
        - image: rayproject/ray:2.44.0
          name: ray-head
          ports:
          - containerPort: 6379
            name: gcs-server
          - containerPort: 8265
            name: dashboard
          - containerPort: 10001
            name: client
          resources:
            limits:
              ephemeral-storage: 8Gi
              memory: 5Gi
            requests:
              cpu: "3"
              ephemeral-storage: 8Gi
              memory: 5Gi
          volumeMounts:
          - mountPath: /mnt/cluster_storage
            name: cluster-storage
        nodeSelector:
          baz: qux
          foo: bar
        volumes:
        - csi:
            driver: gcsfuse.csi.storage.gke.io
            volumeAttributes:
              bucketName: my-bucket
              disableMetrics: "true"
              gcsfuseMetadataPrefetchOnMount: "false"
              mountOptions: implicit-dirs,uid=1000,gid=100
              skipCSIBucketAccessCheck: "false"
          name: cluster-storage
  rayVersion: 2.44.0
  workerGroupSpecs:
  - groupName: cpu-workers
    rayStartParams:
      metrics-export-port: "8081"
    replicas: 1
    template:
      metadata:
        annotations:
          gke-gcsfuse/cpu-request: 250m
          gke-gcsfuse/ephemeral-storage-limit: 5Gi
          gke-gcsfuse/ephemeral-storage-request: 5Gi
          gke-gcsfuse/memory-limit: 256Mi
          gke-gcsfuse/memory-request: 256Mi
      spec:
        containers:
        - image: rayproject/ray:2.44.0
          name: ray-worker
          resources:
            limits:
              ephemeral-storage: 12Gi
              memory: 4Gi
            requests:
              cpu: "2"
              ephemeral-storage: 12Gi
              memory: 4Gi
          volumeMounts:
          - mountPath: /mnt/cluster_storage
            name: cluster-storage
        nodeSelector:
          hi: there
        volumes:
        - csi:
            driver: gcsfuse.csi.storage.gke.io
            volumeAttributes:
              bucketName: my-bucket
              disableMetrics: "true"
              gcsfuseMetadataPrefetchOnMount: "false"
              mountOptions: implicit-dirs,uid=1000,gid=100
              skipCSIBucketAccessCheck: "false"
          name: cluster-storage
  - groupName: gpu-workers
    rayStartParams:
      metrics-export-port: "8081"
    replicas: 1
    template:
      metadata:
        annotations:
          gke-gcsfuse/cpu-request: 250m
          gke-gcsfuse/ephemeral-storage-limit: 5Gi
          gke-gcsfuse/ephemeral-storage-request: 5Gi
          gke-gcsfuse/memory-limit: 256Mi
          gke-gcsfuse/memory-request: 256Mi
      spec:
        containers:
        - image: rayproject/ray:2.44.0
          name: ray-worker
          resources:
            limits:
              ephemeral-storage: 13Gi
              memory: 6Gi
              nvidia.com/gpu: "1"
            requests:
              cpu: "3"
              ephemeral-storage: 13Gi
              memory: 6Gi
              nvidia.com/gpu: "1"
          volumeMounts:
          - mountPath: /mnt/cluster_storage
            name: cluster-storage
        volumes:
        - csi:
            driver: gcsfuse.csi.storage.gke.io
            volumeAttributes:
              bucketName: my-bucket
              disableMetrics: "true"
              gcsfuseMetadataPrefetchOnMount: "false"
              mountOptions: implicit-dirs,uid=1000,gid=100
              skipCSIBucketAccessCheck: "false"
          name: cluster-storage

depends on #3238
closes #3142

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I've made sure the tests are passing.
Testing Strategy
- Unit tests
- Manual tests
- This PR is not tested :(

kubectl-plugin/pkg/cmd/create/create_cluster.go

andrewsykim · 2025-03-26T16:38:01Z

kubectl-plugin/pkg/cmd/create/create_cluster.go

+
+// GKEConfig represents GKE-specific configuration
+type GKEConfig struct {
+	GCSFuse *GCSFuseConfig `yaml:"gcsfuse,omitempty"`


This is awesome :) do you think it's required to allow configuration of the service account to make this work?

Thanks, will test! by the way, a lot of these lines were added by Claude model in my Cursor IDE, and I haven't checked they make sense or work yet. :)

do you think it's required to allow configuration of the service account to make this work?

I think so. How do you think that should look? Should we add kubectl ray create cluster --service-account KSA_NAME or something in a separate PR?

davidxia · 2025-03-26T20:10:44Z

kubectl-plugin/pkg/cmd/create/create_cluster.go

-	if *options.configFlags.Namespace == "" {
-		*options.configFlags.Namespace = "default"
-	}
-


move to Run() because we process the config file there which might specify namespace too

davidxia · 2025-03-26T20:12:29Z

kubectl-plugin/pkg/cmd/create/create_cluster.go

@@ -132,7 +205,7 @@ func (options *CreateClusterOptions) Complete(cmd *cobra.Command, args []string)
 	return nil
 }

-func (options *CreateClusterOptions) Validate() error {
+func (options *CreateClusterOptions) Validate(cmd *cobra.Command) error {


pass cmd because switchesIncompatibleWithConfigFilePresent(cmd) needs it

davidxia · 2025-03-28T14:23:39Z

kubectl-plugin/pkg/cmd/create/create_cluster.go

+
+// GKEConfig represents GKE-specific configuration
+type GKEConfig struct {
+	GCSFuse *GCSFuseConfig `yaml:"gcsfuse,omitempty"`


do you think it's required to allow configuration of the service account to make this work?

I think so. How do you think that should look? Should we add kubectl ray create cluster --service-account KSA_NAME or something in a separate PR?

kubectl-plugin/pkg/util/generation/generation.go

davidxia · 2025-03-28T14:25:36Z

kubectl-plugin/pkg/util/generation/generation.go

+type GCSFuse struct {
+	MountOptions                   *string           `yaml:"mount-options,omitempty"`
+	DisableMetrics                 *bool             `yaml:"disable-metrics,omitempty"`
+	GCSFuseMetadataPrefetchOnMount *bool             `yaml:"gcsfuse-metadata-prefetch-on-mount,omitempty"`
+	SkipCSIBucketAccessCheck       *bool             `yaml:"skip-csi-bucket-access-check,omitempty"`
+	Resources                      *GCSFuseResources `yaml:"resources,omitempty"`
+	BucketName                     string            `yaml:"bucket-name"`
+	MountPath                      string            `yaml:"mount-path"`
+}


lmk if I'm missing anything here

I think we still need a way to specify service accounts, which is usually necessary for IAM binding with workload identity

Does a service-account field at the top level of the config make sense? See here.

If specified, the RayCluster head and all worker group Pod templates would have that as their serviceAccountName? Do we need any validation?

Added in 93533ad

kubectl-plugin/pkg/util/generation/generation.go

davidxia · 2025-03-28T14:28:07Z

kubectl-plugin/pkg/util/generation/generation.go

-	Annotations map[string]string
-	RayClusterSpecObject
+const (
+	volumeName = "cluster-storage"


I hardcoded the name using the same one in Distributed checkpointing with KubeRay and GCSFuse. Lmk if this should be exposed to user and configurable.

kubectl-plugin/pkg/util/generation/generation.go

kubectl-plugin/pkg/cmd/create/create_cluster.go

kubectl-plugin/pkg/util/generation/generation.go

davidxia · 2025-03-31T16:21:12Z

kubectl-plugin/pkg/util/generation/generation.go

-type RayClusterSpecObject struct {
-	Context     *string           `yaml:"context,omitempty"`
+const (
+	volumeName       = "cluster-storage"


Should this be configurable?

andrewsykim

LGTM! @chiayi @MortalHappiness can you take a look too?

davidxia · 2025-04-02T17:27:53Z

kubectl-plugin/pkg/cmd/create/create_cluster.go

+	cmd.Flags().StringToStringVar(&options.labels, "labels", nil, "K8s labels (e.g. --labels app=ray,env=dev)")
+	cmd.Flags().StringToStringVar(&options.annotations, "annotations", nil, "K8s annotations (e.g. --annotations ttl-hours=24,owner=chthulu)")


reordered flags to be in more logical groupings

davidxia · 2025-04-02T17:28:43Z

kubectl-plugin/pkg/cmd/create/create_cluster.go

-	cmd.Flags().StringVar(&options.headCPU, "head-cpu", "2", "number of CPUs in the Ray head")
-	cmd.Flags().StringVar(&options.headMemory, "head-memory", "4Gi", "amount of memory in the Ray head")
-	cmd.Flags().StringVar(&options.headGPU, "head-gpu", "0", "number of GPUs in the Ray head")
-	cmd.Flags().StringVar(&options.headEphemeralStorage, "head-ephemeral-storage", "", "amount of ephemeral storage in the Ray head")
+	cmd.Flags().StringVar(&options.headCPU, "head-cpu", util.DefaultHeadCPU, "number of CPUs in the Ray head")
+	cmd.Flags().StringVar(&options.headMemory, "head-memory", util.DefaultHeadMemory, "amount of memory in the Ray head")
+	cmd.Flags().StringVar(&options.headGPU, "head-gpu", util.DefaultHeadGPU, "number of GPUs in the Ray head")
+	cmd.Flags().StringVar(&options.headEphemeralStorage, "head-ephemeral-storage", util.DefaultHeadEphemeralStorage, "amount of ephemeral storage in the Ray head")


The meaningful changes here are putting default values into constants in util so they can be DRY and used by both flag default values here and config default values.

davidxia · 2025-04-02T17:29:42Z

kubectl-plugin/pkg/util/generation/generation.go

@@ -16,8 +22,12 @@ import (
 	rayv1ac "github.com/ray-project/kuberay/ray-operator/pkg/client/applyconfiguration/ray/v1"
 )

-type RayClusterSpecObject struct {


renamed to RayClusterConfig

davidxia · 2025-04-02T17:30:14Z

kubectl-plugin/pkg/cmd/job/job_submit.go

changes here are the result of renaming RayClusterSpecObject to RayClusterConfig

davidxia · 2025-04-02T17:31:00Z

kubectl-plugin/pkg/util/generation/generation.go

-	HeadCPU              *string           `yaml:"head-cpu,omitempty"`
-	HeadGPU              *string           `yaml:"head-gpu,omitempty"`
-	HeadMemory           *string           `yaml:"head-memory,omitempty"`
-	HeadEphemeralStorage *string           `yaml:"head-ephemeral-storage,omitempty"`
-	HeadRayStartParams   map[string]string `yaml:"head-ray-start-params,omitempty"`
-	HeadNodeSelectors    map[string]string `yaml:"head-node-selectors,omitempty"`
+	Head *Head `yaml:"head,omitempty"`


nested head attributes into Head struct and removed head- prefix from the YAML keys.

davidxia · 2025-04-02T17:31:14Z

kubectl-plugin/pkg/util/generation/generation.go

-	WorkerCPU              *string           `yaml:"worker-cpu,omitempty"`
-	WorkerGPU              *string           `yaml:"worker-gpu,omitempty"`
-	WorkerMemory           *string           `yaml:"worker-memory,omitempty"`
-	WorkerEphemeralStorage *string           `yaml:"worker-ephemeral-storage,omitempty"`
-	WorkerReplicas         *int32            `yaml:"worker-replicas,omitempty"`
-	WorkerRayStartParams   map[string]string `yaml:"worker-ray-start-params,omitempty"`
-	WorkerNodeSelectors    map[string]string `yaml:"worker-node-selectors,omitempty"`


removed worker- prefix

MortalHappiness · 2025-04-03T15:31:25Z

kubectl-plugin/pkg/util/generation/generation.go

+type Head struct {
+	CPU              *string           `yaml:"cpu,omitempty"`
+	GPU              *string           `yaml:"gpu,omitempty"`
+	Memory           *string           `yaml:"memory,omitempty"`
+	EphemeralStorage *string           `yaml:"ephemeral-storage,omitempty"`
+	RayStartParams   map[string]string `yaml:"ray-start-params,omitempty"`
+	NodeSelectors    map[string]string `yaml:"node-selectors,omitempty"`
+}

-	WorkerGroups []WorkerGroupConfig `yaml:"worker-groups,omitempty"`
+type WorkerGroup struct {
+	Name             *string           `yaml:"name,omitempty"`
+	CPU              *string           `yaml:"cpu,omitempty"`
+	GPU              *string           `yaml:"gpu,omitempty"`
+	Memory           *string           `yaml:"memory,omitempty"`
+	EphemeralStorage *string           `yaml:"ephemeral-storage,omitempty"`
+	RayStartParams   map[string]string `yaml:"ray-start-params,omitempty"`
+	NodeSelectors    map[string]string `yaml:"node-selectors,omitempty"`
+	Replicas         int32             `yaml:"replicas"`
 }


Do you consider to use embeded struct and yaml:",inline" for these 2 structs? Because the fields are almost the same.

good idea. I tried to see how it looks here. It gets dryer here in the struct definition. But it actually results in ~50 more lines of code because we have to add more lines to set the attributes now.

davidxia · 2025-04-07T13:00:02Z

kubectl-plugin/pkg/cmd/create/create_cluster.go

-	}
+func (options *CreateClusterOptions) Validate(cmd *cobra.Command) error {
+	if options.configFile != "" {
+		if err := flagsIncompatibleWithConfigFilePresent(cmd); err != nil {


decided to error if user tries to use a mix of config file and CLI flag to keep it simple and avoid merging or override logic for now

SGTM for this.

davidxia · 2025-04-07T13:01:24Z

kubectl-plugin/pkg/util/validation.go

@@ -21,22 +23,24 @@ func ValidateResourceQuantity(value string, name string) error {
 	return nil
 }

-func ValidateTPUNodeSelector(numOfHosts int32, nodeSelector map[string]string) error {
+func ValidateTPU(tpu *string, numOfHosts *int32, nodeSelector map[string]string) error {


refactored this function to include the logic of checking the TPU string so caller doesn't have to

davidxia · 2025-04-07T13:01:41Z

kubectl-plugin/pkg/util/validation_test.go

@@ -30,23 +30,59 @@ func TestValidateResourceQuantity(t *testing.T) {
 }

 func TestValidateTPUNodeSelector(t *testing.T) {
-	tests := []struct {
+	tests := map[string]struct {


add a name to each test case

MortalHappiness

LGTM!

chiayi

LGTM!

kevin85421 · 2025-04-10T20:01:03Z

@davidxia would you mind fixing the conflict?

as described in the [Ray Kubectl Plugin 1.4.0 Wishlist][1]. closes ray-project#3142 Signed-off-by: David Xia <[email protected]> [1]: https://docs.google.com/document/d/18V5_7SGUzS0LGlaJB7xus04omyr3drKkK4vV6Kz14jY/edit?tab=t.0#heading=h.tuqyq1b6b2x7

for all Pods in RayCluster Signed-off-by: David Xia <[email protected]>

davidxia · 2025-04-10T20:43:23Z

@davidxia would you mind fixing the conflict?

yup, updated

kevin85421

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davidxia mentioned this pull request Mar 27, 2025

[refactor][plugin] RayClusterSpecObject #3238

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davidxia changed the title ~~create cluster with config file~~ [feat][plugin] support creating RayCluster with config file Mar 28, 2025

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This was referenced Mar 31, 2025

[Feat][kubectl-plugin] Support mounting GCS Buckets #3145

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[Feat][kubectl-plugin] Config file for creating RayClusters #3142

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davidxia added 2 commits April 10, 2025 16:42

Support setting K8s service account in config file

3f0f831

for all Pods in RayCluster Signed-off-by: David Xia <[email protected]>

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kevin85421 merged commit 099bf61 into ray-project:master Apr 10, 2025
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[feat][plugin] support creating RayCluster with config file #3225

[feat][plugin] support creating RayCluster with config file #3225

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		cmd.Flags().StringToStringVar(&options.labels, "labels", nil, "K8s labels (e.g. --labels app=ray,env=dev)")
		cmd.Flags().StringToStringVar(&options.annotations, "annotations", nil, "K8s annotations (e.g. --annotations ttl-hours=24,owner=chthulu)")

[feat][plugin] support creating RayCluster with config file #3225

[feat][plugin] support creating RayCluster with config file #3225

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