SessionTemplate class

A Dataproc Serverless session template defines the configuration settings for creating one or more Dataproc Serverless interactive sessions.

To get more information about SessionTemplate, see:

Example Usage

Dataproc Session Templates Jupyter

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const exampleSessionTemplatesJupyter = new gcp.dataproc.SessionTemplate("example_session_templates_jupyter", {
    name: "projects/my-project-name/locations/us-central1/sessionTemplates/jupyter-session-template",
    location: "us-central1",
    labels: {
        session_template_test: "terraform",
    },
    runtimeConfig: {
        properties: {
            "spark.dynamicAllocation.enabled": "false",
            "spark.executor.instances": "2",
        },
    },
    environmentConfig: {
        executionConfig: {
            subnetworkUri: "default",
            idleTtl: "3600s",
            networkTags: ["tag1"],
            authenticationConfig: {
                userWorkloadAuthenticationType: "END_USER_CREDENTIALS",
            },
        },
    },
    jupyterSession: {
        kernel: "PYTHON",
        displayName: "tf python kernel",
    },
});

import pulumi
import pulumi_gcp as gcp

example_session_templates_jupyter = gcp.dataproc.SessionTemplate("example_session_templates_jupyter",
    name="projects/my-project-name/locations/us-central1/sessionTemplates/jupyter-session-template",
    location="us-central1",
    labels={
        "session_template_test": "terraform",
    },
    runtime_config={
        "properties": {
            "spark.dynamicAllocation.enabled": "false",
            "spark.executor.instances": "2",
        },
    },
    environment_config={
        "execution_config": {
            "subnetwork_uri": "default",
            "idle_ttl": "3600s",
            "network_tags": ["tag1"],
            "authentication_config": {
                "user_workload_authentication_type": "END_USER_CREDENTIALS",
            },
        },
    },
    jupyter_session={
        "kernel": "PYTHON",
        "display_name": "tf python kernel",
    })

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() =>
{
    var exampleSessionTemplatesJupyter = new Gcp.Dataproc.SessionTemplate("example_session_templates_jupyter", new()
    {
        Name = "projects/my-project-name/locations/us-central1/sessionTemplates/jupyter-session-template",
        Location = "us-central1",
        Labels =
        {
            { "session_template_test", "terraform" },
        },
        RuntimeConfig = new Gcp.Dataproc.Inputs.SessionTemplateRuntimeConfigArgs
        {
            Properties =
            {
                { "spark.dynamicAllocation.enabled", "false" },
                { "spark.executor.instances", "2" },
            },
        },
        EnvironmentConfig = new Gcp.Dataproc.Inputs.SessionTemplateEnvironmentConfigArgs
        {
            ExecutionConfig = new Gcp.Dataproc.Inputs.SessionTemplateEnvironmentConfigExecutionConfigArgs
            {
                SubnetworkUri = "default",
                IdleTtl = "3600s",
                NetworkTags = new[]
                {
                    "tag1",
                },
                AuthenticationConfig = new Gcp.Dataproc.Inputs.SessionTemplateEnvironmentConfigExecutionConfigAuthenticationConfigArgs
                {
                    UserWorkloadAuthenticationType = "END_USER_CREDENTIALS",
                },
            },
        },
        JupyterSession = new Gcp.Dataproc.Inputs.SessionTemplateJupyterSessionArgs
        {
            Kernel = "PYTHON",
            DisplayName = "tf python kernel",
        },
    });

});

package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/dataproc"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := dataproc.NewSessionTemplate(ctx, "example_session_templates_jupyter", &dataproc.SessionTemplateArgs{
			Name:     pulumi.String("projects/my-project-name/locations/us-central1/sessionTemplates/jupyter-session-template"),
			Location: pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"session_template_test": pulumi.String("terraform"),
			},
			RuntimeConfig: &dataproc.SessionTemplateRuntimeConfigArgs{
				Properties: pulumi.StringMap{
					"spark.dynamicAllocation.enabled": pulumi.String("false"),
					"spark.executor.instances":        pulumi.String("2"),
				},
			},
			EnvironmentConfig: &dataproc.SessionTemplateEnvironmentConfigArgs{
				ExecutionConfig: &dataproc.SessionTemplateEnvironmentConfigExecutionConfigArgs{
					SubnetworkUri: pulumi.String("default"),
					IdleTtl:       pulumi.String("3600s"),
					NetworkTags: pulumi.StringArray{
						pulumi.String("tag1"),
					},
					AuthenticationConfig: &dataproc.SessionTemplateEnvironmentConfigExecutionConfigAuthenticationConfigArgs{
						UserWorkloadAuthenticationType: pulumi.String("END_USER_CREDENTIALS"),
					},
				},
			},
			JupyterSession: &dataproc.SessionTemplateJupyterSessionArgs{
				Kernel:      pulumi.String("PYTHON"),
				DisplayName: pulumi.String("tf python kernel"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

pulumi {
  required_providers {
    gcp = {
      source = "pulumi/gcp"
    }
  }
}

resource "gcp_dataproc_sessiontemplate" "example_session_templates_jupyter" {
  name     = "projects/my-project-name/locations/us-central1/sessionTemplates/jupyter-session-template"
  location = "us-central1"
  labels = {
    "session_template_test" = "terraform"
  }
  runtime_config = {
    properties = {
      "spark.dynamicAllocation.enabled" = "false"
      "spark.executor.instances"        = "2"
    }
  }
  environment_config = {
    execution_config = {
      subnetwork_uri = "default"
      idle_ttl       = "3600s"
      network_tags   = ["tag1"]
      authentication_config = {
        user_workload_authentication_type = "END_USER_CREDENTIALS"
      }
    }
  }
  jupyter_session = {
    kernel       = "PYTHON"
    display_name = "tf python kernel"
  }
}

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.dataproc.SessionTemplate;
import com.pulumi.gcp.dataproc.SessionTemplateArgs;
import com.pulumi.gcp.dataproc.inputs.SessionTemplateRuntimeConfigArgs;
import com.pulumi.gcp.dataproc.inputs.SessionTemplateEnvironmentConfigArgs;
import com.pulumi.gcp.dataproc.inputs.SessionTemplateEnvironmentConfigExecutionConfigArgs;
import com.pulumi.gcp.dataproc.inputs.SessionTemplateEnvironmentConfigExecutionConfigAuthenticationConfigArgs;
import com.pulumi.gcp.dataproc.inputs.SessionTemplateJupyterSessionArgs;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var exampleSessionTemplatesJupyter = new SessionTemplate("exampleSessionTemplatesJupyter", SessionTemplateArgs.builder()
            .name("projects/my-project-name/locations/us-central1/sessionTemplates/jupyter-session-template")
            .location("us-central1")
            .labels(Map.of("session_template_test", "terraform"))
            .runtimeConfig(SessionTemplateRuntimeConfigArgs.builder()
                .properties(Map.ofEntries(
                    Map.entry("spark.dynamicAllocation.enabled", "false"),
                    Map.entry("spark.executor.instances", "2")
                ))
                .build())
            .environmentConfig(SessionTemplateEnvironmentConfigArgs.builder()
                .executionConfig(SessionTemplateEnvironmentConfigExecutionConfigArgs.builder()
                    .subnetworkUri("default")
                    .idleTtl("3600s")
                    .networkTags("tag1")
                    .authenticationConfig(SessionTemplateEnvironmentConfigExecutionConfigAuthenticationConfigArgs.builder()
                        .userWorkloadAuthenticationType("END_USER_CREDENTIALS")
                        .build())
                    .build())
                .build())
            .jupyterSession(SessionTemplateJupyterSessionArgs.builder()
                .kernel("PYTHON")
                .displayName("tf python kernel")
                .build())
            .build());

    }
}

resources:
  exampleSessionTemplatesJupyter:
    type: gcp:dataproc:SessionTemplate
    name: example_session_templates_jupyter
    properties:
      name: projects/my-project-name/locations/us-central1/sessionTemplates/jupyter-session-template
      location: us-central1
      labels:
        session_template_test: terraform
      runtimeConfig:
        properties:
          spark.dynamicAllocation.enabled: 'false'
          spark.executor.instances: '2'
      environmentConfig:
        executionConfig:
          subnetworkUri: default
          idleTtl: 3600s
          networkTags:
            - tag1
          authenticationConfig:
            userWorkloadAuthenticationType: END_USER_CREDENTIALS
      jupyterSession:
        kernel: PYTHON
        displayName: tf python kernel

Dataproc Session Templates Jupyter Full

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const project = gcp.organizations.getProject({});
const gcsAccount = gcp.storage.getProjectServiceAccount({});
const bucket = new gcp.storage.Bucket("bucket", {
    uniformBucketLevelAccess: true,
    name: "dataproc-bucket",
    location: "US",
    forceDestroy: true,
});
const cryptoKeyMember1 = new gcp.kms.CryptoKeyIAMMember("crypto_key_member_1", {
    cryptoKeyId: "example-key",
    role: "roles/cloudkms.cryptoKeyEncrypterDecrypter",
    member: project.then(project => `serviceAccount:service-${project.number}@dataproc-accounts.iam.gserviceaccount.com`),
});
const ms = new gcp.dataproc.MetastoreService("ms", {
    serviceId: "jupyter-session-template",
    location: "us-central1",
    port: 9080,
    tier: "DEVELOPER",
    maintenanceWindow: {
        hourOfDay: 2,
        dayOfWeek: "SUNDAY",
    },
    hiveMetastoreConfig: {
        version: "3.1.2",
    },
    networkConfig: {
        consumers: [{
            subnetwork: "projects/my-project-name/regions/us-central1/subnetworks/default",
        }],
    },
});
const basic = new gcp.dataproc.Cluster("basic", {
    name: "jupyter-session-template",
    region: "us-central1",
    clusterConfig: {
        softwareConfig: {
            overrideProperties: {
                "dataproc:dataproc.allow.zero.workers": "true",
                "spark:spark.history.fs.logDirectory": pulumi.interpolate`gs://${bucket.name}/*/spark-job-history`,
            },
        },
        gceClusterConfig: {
            subnetwork: "default",
        },
        endpointConfig: {
            enableHttpPortAccess: true,
        },
        masterConfig: {
            numInstances: 1,
            machineType: "e2-standard-2",
            diskConfig: {
                bootDiskSizeGb: 35,
            },
        },
        metastoreConfig: {
            dataprocMetastoreService: ms.name,
        },
    },
});
const dataprocSessionTemplatesJupyterFull = new gcp.dataproc.SessionTemplate("dataproc_session_templates_jupyter_full", {
    name: "projects/my-project-name/locations/us-central1/sessionTemplates/jupyter-session-template",
    location: "us-central1",
    labels: {
        session_template_test: "terraform",
    },
    runtimeConfig: {
        properties: {
            "spark.dynamicAllocation.enabled": "false",
            "spark.executor.instances": "2",
        },
        version: "2.2",
        containerImage: "us-docker.pkg.dev/my-project-name/s8s-spark-test-images/s8s-spark:latest",
    },
    environmentConfig: {
        executionConfig: {
            ttl: "3600s",
            networkTags: ["tag1"],
            kmsKey: "example-key",
            subnetworkUri: "default",
            serviceAccount: project.then(project => `${project.number}-compute@developer.gserviceaccount.com`),
            stagingBucket: bucket.name,
            authenticationConfig: {
                userWorkloadAuthenticationType: "SERVICE_ACCOUNT",
            },
        },
        peripheralsConfig: {
            metastoreService: ms.name,
            sparkHistoryServerConfig: {
                dataprocCluster: basic.id,
            },
        },
    },
    jupyterSession: {
        kernel: "PYTHON",
        displayName: "tf python kernel",
    },
}, {
    dependsOn: [cryptoKeyMember1],
});

import pulumi
import pulumi_gcp as gcp

project = gcp.organizations.get_project()
gcs_account = gcp.storage.get_project_service_account()
bucket = gcp.storage.Bucket("bucket",
    uniform_bucket_level_access=True,
    name="dataproc-bucket",
    location="US",
    force_destroy=True)
crypto_key_member1 = gcp.kms.CryptoKeyIAMMember("crypto_key_member_1",
    crypto_key_id="example-key",
    role="roles/cloudkms.cryptoKeyEncrypterDecrypter",
    member=f"serviceAccount:service-{project.number}@dataproc-accounts.iam.gserviceaccount.com")
ms = gcp.dataproc.MetastoreService("ms",
    service_id="jupyter-session-template",
    location="us-central1",
    port=9080,
    tier="DEVELOPER",
    maintenance_window={
        "hour_of_day": 2,
        "day_of_week": "SUNDAY",
    },
    hive_metastore_config={
        "version": "3.1.2",
    },
    network_config={
        "consumers": [{
            "subnetwork": "projects/my-project-name/regions/us-central1/subnetworks/default",
        }],
    })
basic = gcp.dataproc.Cluster("basic",
    name="jupyter-session-template",
    region="us-central1",
    cluster_config={
        "software_config": {
            "override_properties": {
                "dataproc:dataproc.allow.zero.workers": "true",
                "spark:spark.history.fs.logDirectory": bucket.name.apply(lambda name: f"gs://{name}/*/spark-job-history"),
            },
        },
        "gce_cluster_config": {
            "subnetwork": "default",
        },
        "endpoint_config": {
            "enable_http_port_access": True,
        },
        "master_config": {
            "num_instances": 1,
            "machine_type": "e2-standard-2",
            "disk_config": {
                "boot_disk_size_gb": 35,
            },
        },
        "metastore_config": {
            "dataproc_metastore_service": ms.name,
        },
    })
dataproc_session_templates_jupyter_full = gcp.dataproc.SessionTemplate("dataproc_session_templates_jupyter_full",
    name="projects/my-project-name/locations/us-central1/sessionTemplates/jupyter-session-template",
    location="us-central1",
    labels={
        "session_template_test": "terraform",
    },
    runtime_config={
        "properties": {
            "spark.dynamicAllocation.enabled": "false",
            "spark.executor.instances": "2",
        },
        "version": "2.2",
        "container_image": "us-docker.pkg.dev/my-project-name/s8s-spark-test-images/s8s-spark:latest",
    },
    environment_config={
        "execution_config": {
            "ttl": "3600s",
            "network_tags": ["tag1"],
            "kms_key": "example-key",
            "subnetwork_uri": "default",
            "service_account": f"{project.number}-compute@developer.gserviceaccount.com",
            "staging_bucket": bucket.name,
            "authentication_config": {
                "user_workload_authentication_type": "SERVICE_ACCOUNT",
            },
        },
        "peripherals_config": {
            "metastore_service": ms.name,
            "spark_history_server_config": {
                "dataproc_cluster": basic.id,
            },
        },
    },
    jupyter_session={
        "kernel": "PYTHON",
        "display_name": "tf python kernel",
    },
    opts = pulumi.ResourceOptions(depends_on=[crypto_key_member1]))

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() =>
{
    var project = Gcp.Organizations.GetProject.Invoke();

    var gcsAccount = Gcp.Storage.GetProjectServiceAccount.Invoke();

    var bucket = new Gcp.Storage.Bucket("bucket", new()
    {
        UniformBucketLevelAccess = true,
        Name = "dataproc-bucket",
        Location = "US",
        ForceDestroy = true,
    });

    var cryptoKeyMember1 = new Gcp.Kms.CryptoKeyIAMMember("crypto_key_member_1", new()
    {
        CryptoKeyId = "example-key",
        Role = "roles/cloudkms.cryptoKeyEncrypterDecrypter",
        Member = $"serviceAccount:service-{project.Apply(getProjectResult => getProjectResult.Number)}@dataproc-accounts.iam.gserviceaccount.com",
    });

    var ms = new Gcp.Dataproc.MetastoreService("ms", new()
    {
        ServiceId = "jupyter-session-template",
        Location = "us-central1",
        Port = 9080,
        Tier = "DEVELOPER",
        MaintenanceWindow = new Gcp.Dataproc.Inputs.MetastoreServiceMaintenanceWindowArgs
        {
            HourOfDay = 2,
            DayOfWeek = "SUNDAY",
        },
        HiveMetastoreConfig = new Gcp.Dataproc.Inputs.MetastoreServiceHiveMetastoreConfigArgs
        {
            Version = "3.1.2",
        },
        NetworkConfig = new Gcp.Dataproc.Inputs.MetastoreServiceNetworkConfigArgs
        {
            Consumers = new[]
            {
                new Gcp.Dataproc.Inputs.MetastoreServiceNetworkConfigConsumerArgs
                {
                    Subnetwork = "projects/my-project-name/regions/us-central1/subnetworks/default",
                },
            },
        },
    });

    var basic = new Gcp.Dataproc.Cluster("basic", new()
    {
        Name = "jupyter-session-template",
        Region = "us-central1",
        ClusterConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigArgs
        {
            SoftwareConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigSoftwareConfigArgs
            {
                OverrideProperties =
                {
                    { "dataproc:dataproc.allow.zero.workers", "true" },
                    { "spark:spark.history.fs.logDirectory", bucket.Name.Apply(name => $"gs://{name}/*/spark-job-history") },
                },
            },
            GceClusterConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigGceClusterConfigArgs
            {
                Subnetwork = "default",
            },
            EndpointConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigEndpointConfigArgs
            {
                EnableHttpPortAccess = true,
            },
            MasterConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigMasterConfigArgs
            {
                NumInstances = 1,
                MachineType = "e2-standard-2",
                DiskConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigMasterConfigDiskConfigArgs
                {
                    BootDiskSizeGb = 35,
                },
            },
            MetastoreConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigMetastoreConfigArgs
            {
                DataprocMetastoreService = ms.Name,
            },
        },
    });

    var dataprocSessionTemplatesJupyterFull = new Gcp.Dataproc.SessionTemplate("dataproc_session_templates_jupyter_full", new()
    {
        Name = "projects/my-project-name/locations/us-central1/sessionTemplates/jupyter-session-template",
        Location = "us-central1",
        Labels =
        {
            { "session_template_test", "terraform" },
        },
        RuntimeConfig = new Gcp.Dataproc.Inputs.SessionTemplateRuntimeConfigArgs
        {
            Properties =
            {
                { "spark.dynamicAllocation.enabled", "false" },
                { "spark.executor.instances", "2" },
            },
            Version = "2.2",
            ContainerImage = "us-docker.pkg.dev/my-project-name/s8s-spark-test-images/s8s-spark:latest",
        },
        EnvironmentConfig = new Gcp.Dataproc.Inputs.SessionTemplateEnvironmentConfigArgs
        {
            ExecutionConfig = new Gcp.Dataproc.Inputs.SessionTemplateEnvironmentConfigExecutionConfigArgs
            {
                Ttl = "3600s",
                NetworkTags = new[]
                {
                    "tag1",
                },
                KmsKey = "example-key",
                SubnetworkUri = "default",
                ServiceAccount = $"{project.Apply(getProjectResult => getProjectResult.Number)}-compute@developer.gserviceaccount.com",
                StagingBucket = bucket.Name,
                AuthenticationConfig = new Gcp.Dataproc.Inputs.SessionTemplateEnvironmentConfigExecutionConfigAuthenticationConfigArgs
                {
                    UserWorkloadAuthenticationType = "SERVICE_ACCOUNT",
                },
            },
            PeripheralsConfig = new Gcp.Dataproc.Inputs.SessionTemplateEnvironmentConfigPeripheralsConfigArgs
            {
                MetastoreService = ms.Name,
                SparkHistoryServerConfig = new Gcp.Dataproc.Inputs.SessionTemplateEnvironmentConfigPeripheralsConfigSparkHistoryServerConfigArgs
                {
                    DataprocCluster = basic.Id,
                },
            },
        },
        JupyterSession = new Gcp.Dataproc.Inputs.SessionTemplateJupyterSessionArgs
        {
            Kernel = "PYTHON",
            DisplayName = "tf python kernel",
        },
    }, new CustomResourceOptions
    {
        DependsOn =
        {
            cryptoKeyMember1,
        },
    });

});

package main

import (
	"fmt"

	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/dataproc"
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/kms"
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/organizations"
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/storage"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		project, err := organizations.LookupProject(ctx, &organizations.LookupProjectArgs{}, nil)
		if err != nil {
			return err
		}
		_, err = storage.GetProjectServiceAccount(ctx, &storage.GetProjectServiceAccountArgs{}, nil)
		if err != nil {
			return err
		}
		bucket, err := storage.NewBucket(ctx, "bucket", &storage.BucketArgs{
			UniformBucketLevelAccess: pulumi.Bool(true),
			Name:                     pulumi.String("dataproc-bucket"),
			Location:                 pulumi.String("US"),
			ForceDestroy:             pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		cryptoKeyMember1, err := kms.NewCryptoKeyIAMMember(ctx, "crypto_key_member_1", &kms.CryptoKeyIAMMemberArgs{
			CryptoKeyId: pulumi.String("example-key"),
			Role:        pulumi.String("roles/cloudkms.cryptoKeyEncrypterDecrypter"),
			Member:      pulumi.Sprintf("serviceAccount:service-%v@dataproc-accounts.iam.gserviceaccount.com", project.Number),
		})
		if err != nil {
			return err
		}
		ms, err := dataproc.NewMetastoreService(ctx, "ms", &dataproc.MetastoreServiceArgs{
			ServiceId: pulumi.String("jupyter-session-template"),
			Location:  pulumi.String("us-central1"),
			Port:      pulumi.Int(9080),
			Tier:      pulumi.String("DEVELOPER"),
			MaintenanceWindow: &dataproc.MetastoreServiceMaintenanceWindowArgs{
				HourOfDay: pulumi.Int(2),
				DayOfWeek: pulumi.String("SUNDAY"),
			},
			HiveMetastoreConfig: &dataproc.MetastoreServiceHiveMetastoreConfigArgs{
				Version: pulumi.String("3.1.2"),
			},
			NetworkConfig: &dataproc.MetastoreServiceNetworkConfigArgs{
				Consumers: dataproc.MetastoreServiceNetworkConfigConsumerArray{
					&dataproc.MetastoreServiceNetworkConfigConsumerArgs{
						Subnetwork: pulumi.String("projects/my-project-name/regions/us-central1/subnetworks/default"),
					},
				},
			},
		})
		if err != nil {
			return err
		}
		basic, err := dataproc.NewCluster(ctx, "basic", &dataproc.ClusterArgs{
			Name:   pulumi.String("jupyter-session-template"),
			Region: pulumi.String("us-central1"),
			ClusterConfig: &dataproc.ClusterClusterConfigArgs{
				SoftwareConfig: &dataproc.ClusterClusterConfigSoftwareConfigArgs{
					OverrideProperties: pulumi.StringMap{
						"dataproc:dataproc.allow.zero.workers": pulumi.String("true"),
						"spark:spark.history.fs.logDirectory": bucket.Name.ApplyT(func(name string) (string, error) {
							return fmt.Sprintf("gs://%v/*/spark-job-history", name), nil
						}).(pulumi.StringOutput),
					},
				},
				GceClusterConfig: &dataproc.ClusterClusterConfigGceClusterConfigArgs{
					Subnetwork: pulumi.String("default"),
				},
				EndpointConfig: &dataproc.ClusterClusterConfigEndpointConfigArgs{
					EnableHttpPortAccess: pulumi.Bool(true),
				},
				MasterConfig: &dataproc.ClusterClusterConfigMasterConfigArgs{
					NumInstances: pulumi.Int(1),
					MachineType:  pulumi.String("e2-standard-2"),
					DiskConfig: &dataproc.ClusterClusterConfigMasterConfigDiskConfigArgs{
						BootDiskSizeGb: pulumi.Int(35),
					},
				},
				MetastoreConfig: &dataproc.ClusterClusterConfigMetastoreConfigArgs{
					DataprocMetastoreService: ms.Name,
				},
			},
		})
		if err != nil {
			return err
		}
		_, err = dataproc.NewSessionTemplate(ctx, "dataproc_session_templates_jupyter_full", &dataproc.SessionTemplateArgs{
			Name:     pulumi.String("projects/my-project-name/locations/us-central1/sessionTemplates/jupyter-session-template"),
			Location: pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"session_template_test": pulumi.String("terraform"),
			},
			RuntimeConfig: &dataproc.SessionTemplateRuntimeConfigArgs{
				Properties: pulumi.StringMap{
					"spark.dynamicAllocation.enabled": pulumi.String("false"),
					"spark.executor.instances":        pulumi.String("2"),
				},
				Version:        pulumi.String("2.2"),
				ContainerImage: pulumi.String("us-docker.pkg.dev/my-project-name/s8s-spark-test-images/s8s-spark:latest"),
			},
			EnvironmentConfig: &dataproc.SessionTemplateEnvironmentConfigArgs{
				ExecutionConfig: &dataproc.SessionTemplateEnvironmentConfigExecutionConfigArgs{
					Ttl: pulumi.String("3600s"),
					NetworkTags: pulumi.StringArray{
						pulumi.String("tag1"),
					},
					KmsKey:         pulumi.String("example-key"),
					SubnetworkUri:  pulumi.String("default"),
					ServiceAccount: pulumi.Sprintf("%v-compute@developer.gserviceaccount.com", project.Number),
					StagingBucket:  bucket.Name,
					AuthenticationConfig: &dataproc.SessionTemplateEnvironmentConfigExecutionConfigAuthenticationConfigArgs{
						UserWorkloadAuthenticationType: pulumi.String("SERVICE_ACCOUNT"),
					},
				},
				PeripheralsConfig: &dataproc.SessionTemplateEnvironmentConfigPeripheralsConfigArgs{
					MetastoreService: ms.Name,
					SparkHistoryServerConfig: &dataproc.SessionTemplateEnvironmentConfigPeripheralsConfigSparkHistoryServerConfigArgs{
						DataprocCluster: basic.ID().ToIDOutput().ToStringOutput(),
					},
				},
			},
			JupyterSession: &dataproc.SessionTemplateJupyterSessionArgs{
				Kernel:      pulumi.String("PYTHON"),
				DisplayName: pulumi.String("tf python kernel"),
			},
		}, pulumi.DependsOn([]pulumi.Resource{
			cryptoKeyMember1,
		}))
		if err != nil {
			return err
		}
		return nil
	})
}

pulumi {
  required_providers {
    gcp = {
      source = "pulumi/gcp"
    }
  }
}

data "gcp_organizations_getproject" "project" {
}
data "gcp_storage_getprojectserviceaccount" "gcsAccount" {
}

resource "gcp_dataproc_sessiontemplate" "dataproc_session_templates_jupyter_full" {
  depends_on = [gcp_kms_cryptokeyiammember.crypto_key_member_1]
  name       = "projects/my-project-name/locations/us-central1/sessionTemplates/jupyter-session-template"
  location   = "us-central1"
  labels = {
    "session_template_test" = "terraform"
  }
  runtime_config = {
    properties = {
      "spark.dynamicAllocation.enabled" = "false"
      "spark.executor.instances"        = "2"
    }
    version         = "2.2"
    container_image = "us-docker.pkg.dev/my-project-name/s8s-spark-test-images/s8s-spark:latest"
  }
  environment_config = {
    execution_config = {
      ttl             = "3600s"
      network_tags    = ["tag1"]
      kms_key         = "example-key"
      subnetwork_uri  = "default"
      service_account ="${data.gcp_organizations_getproject.project.number}-compute@developer.gserviceaccount.com"
      staging_bucket  = gcp_storage_bucket.bucket.name
      authentication_config = {
        user_workload_authentication_type = "SERVICE_ACCOUNT"
      }
    }
    peripherals_config = {
      metastore_service = gcp_dataproc_metastoreservice.ms.name
      spark_history_server_config = {
        dataproc_cluster = gcp_dataproc_cluster.basic.id
      }
    }
  }
  jupyter_session = {
    kernel       = "PYTHON"
    display_name = "tf python kernel"
  }
}
resource "gcp_storage_bucket" "bucket" {
  uniform_bucket_level_access = true
  name                        = "dataproc-bucket"
  location                    = "US"
  force_destroy               = true
}
resource "gcp_kms_cryptokeyiammember" "crypto_key_member_1" {
  crypto_key_id = "example-key"
  role          = "roles/cloudkms.cryptoKeyEncrypterDecrypter"
  member        ="serviceAccount:service-${data.gcp_organizations_getproject.project.number}@dataproc-accounts.iam.gserviceaccount.com"
}
resource "gcp_dataproc_cluster" "basic" {
  name   = "jupyter-session-template"
  region = "us-central1"
  cluster_config = {
    software_config = {
      override_properties = {
        "dataproc:dataproc.allow.zero.workers" = "true"
        "spark:spark.history.fs.logDirectory"  ="gs://${gcp_storage_bucket.bucket.name}/*/spark-job-history"
      }
    }
    gce_cluster_config = {
      subnetwork = "default"
    }
    endpoint_config = {
      enable_http_port_access = true
    }
    master_config = {
      num_instances = 1
      machine_type  = "e2-standard-2"
      disk_config = {
        boot_disk_size_gb = 35
      }
    }
    metastore_config = {
      dataproc_metastore_service = gcp_dataproc_metastoreservice.ms.name
    }
  }
}
resource "gcp_dataproc_metastoreservice" "ms" {
  service_id = "jupyter-session-template"
  location   = "us-central1"
  port       = 9080
  tier       = "DEVELOPER"
  maintenance_window = {
    hour_of_day = 2
    day_of_week = "SUNDAY"
  }
  hive_metastore_config = {
    version = "3.1.2"
  }
  network_config = {
    consumers = [{
      "subnetwork" = "projects/my-project-name/regions/us-central1/subnetworks/default"
    }]
  }
}

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.organizations.OrganizationsFunctions;
import com.pulumi.gcp.organizations.inputs.GetProjectArgs;
import com.pulumi.gcp.storage.StorageFunctions;
import com.pulumi.gcp.storage.inputs.GetProjectServiceAccountArgs;
import com.pulumi.gcp.storage.Bucket;
import com.pulumi.gcp.storage.BucketArgs;
import com.pulumi.gcp.kms.CryptoKeyIAMMember;
import com.pulumi.gcp.kms.CryptoKeyIAMMemberArgs;
import com.pulumi.gcp.dataproc.MetastoreService;
import com.pulumi.gcp.dataproc.MetastoreServiceArgs;
import com.pulumi.gcp.dataproc.inputs.MetastoreServiceMaintenanceWindowArgs;
import com.pulumi.gcp.dataproc.inputs.MetastoreServiceHiveMetastoreConfigArgs;
import com.pulumi.gcp.dataproc.inputs.MetastoreServiceNetworkConfigArgs;
import com.pulumi.gcp.dataproc.inputs.MetastoreServiceNetworkConfigConsumerArgs;
import com.pulumi.gcp.dataproc.Cluster;
import com.pulumi.gcp.dataproc.ClusterArgs;
import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigArgs;
import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigSoftwareConfigArgs;
import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigGceClusterConfigArgs;
import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigEndpointConfigArgs;
import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigMasterConfigArgs;
import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigMasterConfigDiskConfigArgs;
import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigMetastoreConfigArgs;
import com.pulumi.gcp.dataproc.SessionTemplate;
import com.pulumi.gcp.dataproc.SessionTemplateArgs;
import com.pulumi.gcp.dataproc.inputs.SessionTemplateRuntimeConfigArgs;
import com.pulumi.gcp.dataproc.inputs.SessionTemplateEnvironmentConfigArgs;
import com.pulumi.gcp.dataproc.inputs.SessionTemplateEnvironmentConfigExecutionConfigArgs;
import com.pulumi.gcp.dataproc.inputs.SessionTemplateEnvironmentConfigExecutionConfigAuthenticationConfigArgs;
import com.pulumi.gcp.dataproc.inputs.SessionTemplateEnvironmentConfigPeripheralsConfigArgs;
import com.pulumi.gcp.dataproc.inputs.SessionTemplateEnvironmentConfigPeripheralsConfigSparkHistoryServerConfigArgs;
import com.pulumi.gcp.dataproc.inputs.SessionTemplateJupyterSessionArgs;
import com.pulumi.resources.CustomResourceOptions;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var project = OrganizationsFunctions.getProject(GetProjectArgs.builder()
            .build());

        final var gcsAccount = StorageFunctions.getProjectServiceAccount(GetProjectServiceAccountArgs.builder()
            .build());

        var bucket = new Bucket("bucket", BucketArgs.builder()
            .uniformBucketLevelAccess(true)
            .name("dataproc-bucket")
            .location("US")
            .forceDestroy(true)
            .build());

        var cryptoKeyMember1 = new CryptoKeyIAMMember("cryptoKeyMember1", CryptoKeyIAMMemberArgs.builder()
            .cryptoKeyId("example-key")
            .role("roles/cloudkms.cryptoKeyEncrypterDecrypter")
            .member(String.format("serviceAccount:service-%s@dataproc-accounts.iam.gserviceaccount.com", project.number()))
            .build());

        var ms = new MetastoreService("ms", MetastoreServiceArgs.builder()
            .serviceId("jupyter-session-template")
            .location("us-central1")
            .port(9080)
            .tier("DEVELOPER")
            .maintenanceWindow(MetastoreServiceMaintenanceWindowArgs.builder()
                .hourOfDay(2)
                .dayOfWeek("SUNDAY")
                .build())
            .hiveMetastoreConfig(MetastoreServiceHiveMetastoreConfigArgs.builder()
                .version("3.1.2")
                .build())
            .networkConfig(MetastoreServiceNetworkConfigArgs.builder()
                .consumers(MetastoreServiceNetworkConfigConsumerArgs.builder()
                    .subnetwork("projects/my-project-name/regions/us-central1/subnetworks/default")
                    .build())
                .build())
            .build());

        var basic = new Cluster("basic", ClusterArgs.builder()
            .name("jupyter-session-template")
            .region("us-central1")
            .clusterConfig(ClusterClusterConfigArgs.builder()
                .softwareConfig(ClusterClusterConfigSoftwareConfigArgs.builder()
                    .overrideProperties(Map.ofEntries(
                        Map.entry("dataproc:dataproc.allow.zero.workers", "true"),
                        Map.entry("spark:spark.history.fs.logDirectory", bucket.name().applyValue(_name -> String.format("gs://%s/*/spark-job-history", _name)))
                    ))
                    .build())
                .gceClusterConfig(ClusterClusterConfigGceClusterConfigArgs.builder()
                    .subnetwork("default")
                    .build())
                .endpointConfig(ClusterClusterConfigEndpointConfigArgs.builder()
                    .enableHttpPortAccess(true)
                    .build())
                .masterConfig(ClusterClusterConfigMasterConfigArgs.builder()
                    .numInstances(1)
                    .machineType("e2-standard-2")
                    .diskConfig(ClusterClusterConfigMasterConfigDiskConfigArgs.builder()
                        .bootDiskSizeGb(35)
                        .build())
                    .build())
                .metastoreConfig(ClusterClusterConfigMetastoreConfigArgs.builder()
                    .dataprocMetastoreService(ms.name())
                    .build())
                .build())
            .build());

        var dataprocSessionTemplatesJupyterFull = new SessionTemplate("dataprocSessionTemplatesJupyterFull", SessionTemplateArgs.builder()
            .name("projects/my-project-name/locations/us-central1/sessionTemplates/jupyter-session-template")
            .location("us-central1")
            .labels(Map.of("session_template_test", "terraform"))
            .runtimeConfig(SessionTemplateRuntimeConfigArgs.builder()
                .properties(Map.ofEntries(
                    Map.entry("spark.dynamicAllocation.enabled", "false"),
                    Map.entry("spark.executor.instances", "2")
                ))
                .version("2.2")
                .containerImage("us-docker.pkg.dev/my-project-name/s8s-spark-test-images/s8s-spark:latest")
                .build())
            .environmentConfig(SessionTemplateEnvironmentConfigArgs.builder()
                .executionConfig(SessionTemplateEnvironmentConfigExecutionConfigArgs.builder()
                    .ttl("3600s")
                    .networkTags("tag1")
                    .kmsKey("example-key")
                    .subnetworkUri("default")
                    .serviceAccount(String.format("%s-compute@developer.gserviceaccount.com", project.number()))
                    .stagingBucket(bucket.name())
                    .authenticationConfig(SessionTemplateEnvironmentConfigExecutionConfigAuthenticationConfigArgs.builder()
                        .userWorkloadAuthenticationType("SERVICE_ACCOUNT")
                        .build())
                    .build())
                .peripheralsConfig(SessionTemplateEnvironmentConfigPeripheralsConfigArgs.builder()
                    .metastoreService(ms.name())
                    .sparkHistoryServerConfig(SessionTemplateEnvironmentConfigPeripheralsConfigSparkHistoryServerConfigArgs.builder()
                        .dataprocCluster(basic.id())
                        .build())
                    .build())
                .build())
            .jupyterSession(SessionTemplateJupyterSessionArgs.builder()
                .kernel("PYTHON")
                .displayName("tf python kernel")
                .build())
            .build(), CustomResourceOptions.builder()
                .dependsOn(cryptoKeyMember1)
                .build());

    }
}

resources:
  dataprocSessionTemplatesJupyterFull:
    type: gcp:dataproc:SessionTemplate
    name: dataproc_session_templates_jupyter_full
    properties:
      name: projects/my-project-name/locations/us-central1/sessionTemplates/jupyter-session-template
      location: us-central1
      labels:
        session_template_test: terraform
      runtimeConfig:
        properties:
          spark.dynamicAllocation.enabled: 'false'
          spark.executor.instances: '2'
        version: '2.2'
        containerImage: us-docker.pkg.dev/my-project-name/s8s-spark-test-images/s8s-spark:latest
      environmentConfig:
        executionConfig:
          ttl: 3600s
          networkTags:
            - tag1
          kmsKey: example-key
          subnetworkUri: default
          serviceAccount: ${project.number}-compute@developer.gserviceaccount.com
          stagingBucket: ${bucket.name}
          authenticationConfig:
            userWorkloadAuthenticationType: SERVICE_ACCOUNT
        peripheralsConfig:
          metastoreService: ${ms.name}
          sparkHistoryServerConfig:
            dataprocCluster: ${basic.id}
      jupyterSession:
        kernel: PYTHON
        displayName: tf python kernel
    options:
      dependsOn:
        - ${cryptoKeyMember1}
  bucket:
    type: gcp:storage:Bucket
    properties:
      uniformBucketLevelAccess: true
      name: dataproc-bucket
      location: US
      forceDestroy: true
  cryptoKeyMember1:
    type: gcp:kms:CryptoKeyIAMMember
    name: crypto_key_member_1
    properties:
      cryptoKeyId: example-key
      role: roles/cloudkms.cryptoKeyEncrypterDecrypter
      member: serviceAccount:service-${project.number}@dataproc-accounts.iam.gserviceaccount.com
  basic:
    type: gcp:dataproc:Cluster
    properties:
      name: jupyter-session-template
      region: us-central1
      clusterConfig:
        softwareConfig:
          overrideProperties:
            dataproc:dataproc.allow.zero.workers: 'true'
            spark:spark.history.fs.logDirectory: gs://${bucket.name}/*/spark-job-history
        gceClusterConfig:
          subnetwork: default
        endpointConfig:
          enableHttpPortAccess: true
        masterConfig:
          numInstances: 1
          machineType: e2-standard-2
          diskConfig:
            bootDiskSizeGb: 35
        metastoreConfig:
          dataprocMetastoreService: ${ms.name}
  ms:
    type: gcp:dataproc:MetastoreService
    properties:
      serviceId: jupyter-session-template
      location: us-central1
      port: 9080
      tier: DEVELOPER
      maintenanceWindow:
        hourOfDay: 2
        dayOfWeek: SUNDAY
      hiveMetastoreConfig:
        version: 3.1.2
      networkConfig:
        consumers:
          - subnetwork: projects/my-project-name/regions/us-central1/subnetworks/default
variables:
  project:
    fn::invoke:
      function: gcp:organizations:getProject
      arguments: {}
  gcsAccount:
    fn::invoke:
      function: gcp:storage:getProjectServiceAccount
      arguments: {}

Dataproc Session Templates Spark Connect

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const exampleSessionTemplatesSparkConnect = new gcp.dataproc.SessionTemplate("example_session_templates_spark_connect", {
    name: "projects/my-project-name/locations/us-central1/sessionTemplates/sc-session-template",
    location: "us-central1",
    labels: {
        session_template_test: "terraform",
    },
    runtimeConfig: {
        properties: {
            "spark.dynamicAllocation.enabled": "false",
            "spark.executor.instances": "2",
        },
    },
    environmentConfig: {
        executionConfig: {
            subnetworkUri: "default",
            ttl: "3600s",
            networkTags: ["tag1"],
        },
    },
});

import pulumi
import pulumi_gcp as gcp

example_session_templates_spark_connect = gcp.dataproc.SessionTemplate("example_session_templates_spark_connect",
    name="projects/my-project-name/locations/us-central1/sessionTemplates/sc-session-template",
    location="us-central1",
    labels={
        "session_template_test": "terraform",
    },
    runtime_config={
        "properties": {
            "spark.dynamicAllocation.enabled": "false",
            "spark.executor.instances": "2",
        },
    },
    environment_config={
        "execution_config": {
            "subnetwork_uri": "default",
            "ttl": "3600s",
            "network_tags": ["tag1"],
        },
    })

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() =>
{
    var exampleSessionTemplatesSparkConnect = new Gcp.Dataproc.SessionTemplate("example_session_templates_spark_connect", new()
    {
        Name = "projects/my-project-name/locations/us-central1/sessionTemplates/sc-session-template",
        Location = "us-central1",
        Labels =
        {
            { "session_template_test", "terraform" },
        },
        RuntimeConfig = new Gcp.Dataproc.Inputs.SessionTemplateRuntimeConfigArgs
        {
            Properties =
            {
                { "spark.dynamicAllocation.enabled", "false" },
                { "spark.executor.instances", "2" },
            },
        },
        EnvironmentConfig = new Gcp.Dataproc.Inputs.SessionTemplateEnvironmentConfigArgs
        {
            ExecutionConfig = new Gcp.Dataproc.Inputs.SessionTemplateEnvironmentConfigExecutionConfigArgs
            {
                SubnetworkUri = "default",
                Ttl = "3600s",
                NetworkTags = new[]
                {
                    "tag1",
                },
            },
        },
    });

});

package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/dataproc"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := dataproc.NewSessionTemplate(ctx, "example_session_templates_spark_connect", &dataproc.SessionTemplateArgs{
			Name:     pulumi.String("projects/my-project-name/locations/us-central1/sessionTemplates/sc-session-template"),
			Location: pulumi.String("us-central1"),
			Labels: pulumi.StringMap{
				"session_template_test": pulumi.String("terraform"),
			},
			RuntimeConfig: &dataproc.SessionTemplateRuntimeConfigArgs{
				Properties: pulumi.StringMap{
					"spark.dynamicAllocation.enabled": pulumi.String("false"),
					"spark.executor.instances":        pulumi.String("2"),
				},
			},
			EnvironmentConfig: &dataproc.SessionTemplateEnvironmentConfigArgs{
				ExecutionConfig: &dataproc.SessionTemplateEnvironmentConfigExecutionConfigArgs{
					SubnetworkUri: pulumi.String("default"),
					Ttl:           pulumi.String("3600s"),
					NetworkTags: pulumi.StringArray{
						pulumi.String("tag1"),
					},
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

pulumi {
  required_providers {
    gcp = {
      source = "pulumi/gcp"
    }
  }
}

resource "gcp_dataproc_sessiontemplate" "example_session_templates_spark_connect" {
  name     = "projects/my-project-name/locations/us-central1/sessionTemplates/sc-session-template"
  location = "us-central1"
  labels = {
    "session_template_test" = "terraform"
  }
  runtime_config = {
    properties = {
      "spark.dynamicAllocation.enabled" = "false"
      "spark.executor.instances"        = "2"
    }
  }
  environment_config = {
    execution_config = {
      subnetwork_uri = "default"
      ttl            = "3600s"
      network_tags   = ["tag1"]
    }
  }
}

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.dataproc.SessionTemplate;
import com.pulumi.gcp.dataproc.SessionTemplateArgs;
import com.pulumi.gcp.dataproc.inputs.SessionTemplateRuntimeConfigArgs;
import com.pulumi.gcp.dataproc.inputs.SessionTemplateEnvironmentConfigArgs;
import com.pulumi.gcp.dataproc.inputs.SessionTemplateEnvironmentConfigExecutionConfigArgs;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var exampleSessionTemplatesSparkConnect = new SessionTemplate("exampleSessionTemplatesSparkConnect", SessionTemplateArgs.builder()
            .name("projects/my-project-name/locations/us-central1/sessionTemplates/sc-session-template")
            .location("us-central1")
            .labels(Map.of("session_template_test", "terraform"))
            .runtimeConfig(SessionTemplateRuntimeConfigArgs.builder()
                .properties(Map.ofEntries(
                    Map.entry("spark.dynamicAllocation.enabled", "false"),
                    Map.entry("spark.executor.instances", "2")
                ))
                .build())
            .environmentConfig(SessionTemplateEnvironmentConfigArgs.builder()
                .executionConfig(SessionTemplateEnvironmentConfigExecutionConfigArgs.builder()
                    .subnetworkUri("default")
                    .ttl("3600s")
                    .networkTags("tag1")
                    .build())
                .build())
            .build());

    }
}

resources:
  exampleSessionTemplatesSparkConnect:
    type: gcp:dataproc:SessionTemplate
    name: example_session_templates_spark_connect
    properties:
      name: projects/my-project-name/locations/us-central1/sessionTemplates/sc-session-template
      location: us-central1
      labels:
        session_template_test: terraform
      runtimeConfig:
        properties:
          spark.dynamicAllocation.enabled: 'false'
          spark.executor.instances: '2'
      environmentConfig:
        executionConfig:
          subnetworkUri: default
          ttl: 3600s
          networkTags:
            - tag1

Import

SessionTemplate can be imported using any of these accepted formats:

  • {{name}}

When using the pulumi import command, SessionTemplate can be imported using one of the formats above. For example:

$ pulumi import gcp:dataproc/sessionTemplate:SessionTemplate default {{name}}

Constructors

SessionTemplate(String name, {SessionTemplateArgs? args, CustomResourceOptions? options})
Creates a new SessionTemplate. name The Pulumi resource name. args Arguments used to configure this SessionTemplate. The set of arguments for SessionTemplate. options Resource options controlling this resource's behavior.
SessionTemplate.reference(String urn)
Creates a typed reference to an existing SessionTemplate resource.

Properties

childResources → Set<Resource>
finalinherited
completionSources ↔ Map<String, IOutputCompletionSource>
latefinalinherited
createTime ↔ Output<String>
The time when the session template was created.
latefinal
creator ↔ Output<String>
The email address of the user who created the session template.
latefinal
deletionPolicy ↔ Output<String>
Whether Terraform will be prevented from destroying the resource. Defaults to DELETE. When a 'terraform destroy' or 'pulumi up' would delete the resource, the command will fail if this field is set to "PREVENT" in Terraform state. When set to "ABANDON", the command will remove the resource from Terraform management without updating or deleting the resource in the API. When set to "DELETE", deleting the resource is allowed.
latefinal
effectiveLabels ↔ Output<Map<String, String>>
All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
latefinal
environmentConfig ↔ Output<SessionTemplateEnvironmentConfig?>
Environment configuration for the session execution. Structure is documented below.
latefinal
hashCode → int
The hash code for this object.
no setterinherited
id ↔ Output<String>
getter/setter pairinherited
isCustom → bool
Returns whether this resource is provider-managed.
no setterinherited
isProtected → bool
Returns whether this resource is protected from deletion.
no setterinherited
isRemote → bool
Whether this resource is registered as remote.
no setterinherited
isResourceReference → bool
Whether this instance represents a resource value returned over RPC.
finalinherited
jupyterSession ↔ Output<SessionTemplateJupyterSession?>
Jupyter configuration for an interactive session. Structure is documented below.
latefinal
labels ↔ Output<Map<String, String>?>
The labels to associate with this session template.
latefinal
location ↔ Output<String?>
The location in which the session template will be created in.
latefinal
name ↔ Output<String>
The resource name of the session template in the following format: projects/{project}/locations/{location}/sessionTemplates/{template_id}
latefinal
project ↔ Output<String>
The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
latefinal
pulumiLabels ↔ Output<Map<String, String>>
The combination of labels configured directly on the resource and default labels configured on the provider.
latefinal
resourceTransforms → List<ResourceTransform>
Inherited/explicit async transforms.
no setterinherited
runtimeConfig ↔ Output<SessionTemplateRuntimeConfig?>
Runtime configuration for the session template. Structure is documented below.
latefinal
runtimeType → Type
A representation of the runtime type of the object.
no setterinherited
sparkConnectSession ↔ Output<Map<String, dynamic>?>
Spark connect configuration for an interactive session.
latefinal
transformations → List<ResourceTransformation>
Inherited/explicit legacy transformations.
no setterinherited
updateTime ↔ Output<String>
The time when the session template was updated.
latefinal
urn ↔ Output<String>
latefinalinherited
uuid ↔ Output<String>
A session template UUID (Unique Universal Identifier). The service generates this value when it creates the session template.
latefinal

Methods

failId(Object error) → void
Completes this resource ID with an error when registration fails.
inherited
failOutputs(Object error) → void
Completes all output properties with error.
inherited
failUrn(Object error) → void
Completes this resource URN with an error when registration fails.
inherited
getProvider(String moduleMember) → ProviderResource?
Returns provider for moduleMember's package, if configured.
inherited
getResourceName() → String
Returns this resource's logical name.
inherited
getResourceType() → String
Returns this resource's Pulumi type token.
inherited
noSuchMethod(Invocation invocation) → dynamic
Invoked when a nonexistent method or property is accessed.
inherited
registerOutput<T>(String propertyName, {Object? decoder(Object?)?, bool isSecret = false}) → Output<T>
Registers a dynamic output property for this resource.
inherited
resolveId(String? value, {required bool isKnown}) → void
Resolves the provider-assigned ID for this resource.
inherited
resolveOutputs(Struct outputs) → void
Resolves all output properties from a monitor response payload.
inherited
resolveUrn(String value) → void
Resolves this resource's URN once assigned by the engine.
inherited
serializeProperties(Map<String, dynamic> properties) → Future<Struct>
Serializes resource properties for RPC transmission.
inherited
toString() → String
A string representation of this object.
inherited

Operators

operator ==(Object other) → bool
The equality operator.
inherited

Static Methods

get(String name, Input<String> id, {SessionTemplateState? state, CustomResourceOptions? options}) → SessionTemplate
Gets an existing SessionTemplate resource's state with the given name and id.