# Copyright 2019 The Kubeflow Authors # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. name: dataproc_create_cluster description: | Creates a DataProc cluster under a project. metadata: labels: add-pod-env: 'true' inputs: - name: project_id description: >- Required. The ID of the Google Cloud Platform project that the cluster belongs to. type: GCPProjectID - name: region description: 'Required. The Cloud Dataproc region in which to handle the request.' type: GCPRegion - name: name description: >- Optional. The cluster name. Cluster names within a project must be unique. Names of deleted clusters can be reused default: '' type: String - name: name_prefix description: 'Optional. The prefix of the cluster name.' default: '' type: String - name: initialization_actions description: >- Optional. List of GCS URIs of executables to execute on each node after config is completed. By default, executables are run on master and all worker nodes. default: '' type: List - name: config_bucket description: >- Optional. A Google Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. default: '' type: GCSPath - name: image_version description: 'Optional. The version of software inside the cluster.' default: '' type: String - name: cluster description: >- Optional. The full cluster config. See [full details](https://cloud.google.com/dataproc/docs/reference/rest/v1/projects.regions.clusters#Cluster) default: '' type: Dict - name: wait_interval default: '30' description: 'Optional. The wait seconds between polling the operation. Defaults to 30.' type: Integer outputs: - name: cluster_name description: 'The cluster name of the created cluster.' type: String - name: MLPipeline UI metadata type: UI metadata implementation: container: image: gcr.io/ml-pipeline/ml-pipeline-gcp:1.7.0-rc.3 args: [ --ui_metadata_path, {outputPath: MLPipeline UI metadata}, kfp_component.google.dataproc, create_cluster, --project_id, {inputValue: project_id}, --region, {inputValue: region}, --name, {inputValue: name}, --name_prefix, {inputValue: name_prefix}, --initialization_actions, {inputValue: initialization_actions}, --config_bucket, {inputValue: config_bucket}, --image_version, {inputValue: image_version}, --cluster, {inputValue: cluster}, --wait_interval, {inputValue: wait_interval}, --cluster_name_output_path, {outputPath: cluster_name}, ] env: KFP_POD_NAME: "{{pod.name}}"