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    "# Name\n",
    "\n",
    "Data preparation by deleting a cluster in Cloud Dataproc\n",
    "\n",
    "# Label\n",
    "Cloud Dataproc, cluster, GCP, Cloud Storage, Kubeflow, Pipeline\n",
    "\n",
    "\n",
    "# Summary\n",
    "A Kubeflow Pipeline component to delete a cluster in Cloud Dataproc.\n",
    "\n",
    "## Intended use\n",
    "Use this component at the start of a Kubeflow Pipeline to delete a temporary Cloud Dataproc \n",
    "cluster to run Cloud Dataproc jobs as steps in the pipeline. This component is usually \n",
    "used with an [exit handler](https://github.com/kubeflow/pipelines/blob/master/samples/core/exit_handler/exit_handler.py) to run at the end of a pipeline.\n",
    "\n",
    "\n",
    "## Runtime arguments\n",
    "| Argument | Description | Optional | Data type | Accepted values | Default |\n",
    "|----------|-------------|----------|-----------|-----------------|---------|\n",
    "| project_id | The Google Cloud Platform (GCP) project ID that the cluster belongs to. | No | GCPProjectID |  |  |\n",
    "| region | The Cloud Dataproc region in which to handle the request. | No | GCPRegion |  |  |\n",
    "| name | The name of the cluster to delete. | No | String |  |  |\n",
    "| wait_interval | The number of seconds to pause between polling the operation. | Yes | Integer |  | 30 |\n",
    "\n",
    "\n",
    "## Cautions & requirements\n",
    "To use the component, you must:\n",
    "*   Set up a GCP project by following this [guide](https://cloud.google.com/dataproc/docs/guides/setup-project).\n",
    "*   The component can authenticate to GCP. Refer to [Authenticating Pipelines to GCP](https://www.kubeflow.org/docs/gke/authentication-pipelines/) for details.\n",
    "*   Grant the Kubeflow user service account the role `roles/dataproc.editor` on the project.\n",
    "\n",
    "## Detailed description\n",
    "This component deletes a Dataproc cluster by using [Dataproc delete cluster REST API](https://cloud.google.com/dataproc/docs/reference/rest/v1/projects.regions.clusters/delete).\n",
    "\n",
    "Follow these steps to use the component in a pipeline:\n",
    "1.  Install the Kubeflow Pipeline SDK:"
   ]
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   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture --no-stderr\n",
    "\n",
    "!pip3 install kfp --upgrade"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. Load the component using KFP SDK"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import kfp.components as comp\n",
    "\n",
    "dataproc_delete_cluster_op = comp.load_component_from_url(\n",
    "    'https://raw.githubusercontent.com/kubeflow/pipelines/1.7.0-rc.3/components/gcp/dataproc/delete_cluster/component.yaml')\n",
    "help(dataproc_delete_cluster_op)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Sample\n",
    "\n",
    "Note: The following sample code works in an IPython notebook or directly in Python code. See the sample code below to learn how to execute the template.\n",
    "\n",
    "#### Prerequisites\n",
    "\n",
    "[Create a Dataproc cluster](https://cloud.google.com/dataproc/docs/guides/create-cluster) before running the sample code.\n",
    "\n",
    "#### Set sample parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": [
     "parameters"
    ]
   },
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   "source": [
    "PROJECT_ID = '<Please put your project ID here>'\n",
    "CLUSTER_NAME = '<Please put your existing cluster name here>'\n",
    "\n",
    "REGION = 'us-central1'\n",
    "EXPERIMENT_NAME = 'Dataproc - Delete Cluster'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Example pipeline that uses the component"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import kfp.dsl as dsl\n",
    "import json\n",
    "@dsl.pipeline(\n",
    "    name='Dataproc delete cluster pipeline',\n",
    "    description='Dataproc delete cluster pipeline'\n",
    ")\n",
    "def dataproc_delete_cluster_pipeline(\n",
    "    project_id = PROJECT_ID, \n",
    "    region = REGION,\n",
    "    name = CLUSTER_NAME\n",
    "):\n",
    "    dataproc_delete_cluster_op(\n",
    "        project_id=project_id, \n",
    "        region=region, \n",
    "        name=name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Compile the pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pipeline_func = dataproc_delete_cluster_pipeline\n",
    "pipeline_filename = pipeline_func.__name__ + '.zip'\n",
    "import kfp.compiler as compiler\n",
    "compiler.Compiler().compile(pipeline_func, pipeline_filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Submit the pipeline for execution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Specify pipeline argument values\n",
    "arguments = {}\n",
    "\n",
    "#Get or create an experiment and submit a pipeline run\n",
    "import kfp\n",
    "client = kfp.Client()\n",
    "experiment = client.create_experiment(EXPERIMENT_NAME)\n",
    "\n",
    "#Submit a pipeline run\n",
    "run_name = pipeline_func.__name__ + ' run'\n",
    "run_result = client.run_pipeline(experiment.id, run_name, pipeline_filename, arguments)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## References\n",
    "\n",
    "*   [Component Python code](https://github.com/kubeflow/pipelines/blob/release-1.7/components/gcp/container/component_sdk/python/kfp_component/google/dataproc/_delete_cluster.py)\n",
    "*   [Component Docker file](https://github.com/kubeflow/pipelines/blob/release-1.7/components/gcp/container/Dockerfile)\n",
    "*   [Sample notebook](https://github.com/kubeflow/pipelines/blob/release-1.7/components/gcp/dataproc/delete_cluster/sample.ipynb)\n",
    "*   [Dataproc delete cluster REST API](https://cloud.google.com/dataproc/docs/reference/rest/v1/projects.regions.clusters/delete)\n",
    "\n",
    "\n",
    "## License\n",
    "By deploying or using this software you agree to comply with the [AI Hub Terms of Service](https://aihub.cloud.google.com/u/0/aihub-tos) and the [Google APIs Terms of Service](https://developers.google.com/terms/). To the extent of a direct conflict of terms, the AI Hub Terms of Service will control."
   ]
  }
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