GdcSparkApplication class

A Spark application is a single Spark workload run on a GDC cluster.

To get more information about SparkApplication, see:

Example Usage

Dataprocgdc Sparkapplication Basic

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

const spark_application = new gcp.dataproc.GdcSparkApplication("spark-application", {
    sparkApplicationId: "tf-e2e-spark-app-basic",
    serviceinstance: "do-not-delete-dataproc-gdc-instance",
    project: "my-project",
    location: "us-west2",
    namespace: "default",
    sparkApplicationConfig: {
        mainClass: "org.apache.spark.examples.SparkPi",
        jarFileUris: ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
        args: ["10000"],
    },
});

import pulumi
import pulumi_gcp as gcp

spark_application = gcp.dataproc.GdcSparkApplication("spark-application",
    spark_application_id="tf-e2e-spark-app-basic",
    serviceinstance="do-not-delete-dataproc-gdc-instance",
    project="my-project",
    location="us-west2",
    namespace="default",
    spark_application_config={
        "main_class": "org.apache.spark.examples.SparkPi",
        "jar_file_uris": ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
        "args": ["10000"],
    })

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

return await Deployment.RunAsync(() =>
{
    var spark_application = new Gcp.Dataproc.GdcSparkApplication("spark-application", new()
    {
        SparkApplicationId = "tf-e2e-spark-app-basic",
        Serviceinstance = "do-not-delete-dataproc-gdc-instance",
        Project = "my-project",
        Location = "us-west2",
        Namespace = "default",
        SparkApplicationConfig = new Gcp.Dataproc.Inputs.GdcSparkApplicationSparkApplicationConfigArgs
        {
            MainClass = "org.apache.spark.examples.SparkPi",
            JarFileUris = new[]
            {
                "file:///usr/lib/spark/examples/jars/spark-examples.jar",
            },
            Args = new[]
            {
                "10000",
            },
        },
    });

});

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.NewGdcSparkApplication(ctx, "spark-application", &dataproc.GdcSparkApplicationArgs{
			SparkApplicationId: pulumi.String("tf-e2e-spark-app-basic"),
			Serviceinstance:    pulumi.String("do-not-delete-dataproc-gdc-instance"),
			Project:            pulumi.String("my-project"),
			Location:           pulumi.String("us-west2"),
			Namespace:          pulumi.String("default"),
			SparkApplicationConfig: &dataproc.GdcSparkApplicationSparkApplicationConfigArgs{
				MainClass: pulumi.String("org.apache.spark.examples.SparkPi"),
				JarFileUris: pulumi.StringArray{
					pulumi.String("file:///usr/lib/spark/examples/jars/spark-examples.jar"),
				},
				Args: pulumi.StringArray{
					pulumi.String("10000"),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

resource "gcp_dataproc_gdcsparkapplication" "spark-application" {
  spark_application_id = "tf-e2e-spark-app-basic"
  serviceinstance      = "do-not-delete-dataproc-gdc-instance"
  project              = "my-project"
  location             = "us-west2"
  namespace            = "default"
  spark_application_config = {
    main_class    = "org.apache.spark.examples.SparkPi"
    jar_file_uris = ["file:///usr/lib/spark/examples/jars/spark-examples.jar"]
    args          = ["10000"]
  }
}

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.dataproc.GdcSparkApplication;
import com.pulumi.gcp.dataproc.GdcSparkApplicationArgs;
import com.pulumi.gcp.dataproc.inputs.GdcSparkApplicationSparkApplicationConfigArgs;
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 spark_application = new GdcSparkApplication("spark-application", GdcSparkApplicationArgs.builder()
            .sparkApplicationId("tf-e2e-spark-app-basic")
            .serviceinstance("do-not-delete-dataproc-gdc-instance")
            .project("my-project")
            .location("us-west2")
            .namespace("default")
            .sparkApplicationConfig(GdcSparkApplicationSparkApplicationConfigArgs.builder()
                .mainClass("org.apache.spark.examples.SparkPi")
                .jarFileUris("file:///usr/lib/spark/examples/jars/spark-examples.jar")
                .args("10000")
                .build())
            .build());

    }
}

resources:
  spark-application:
    type: gcp:dataproc:GdcSparkApplication
    properties:
      sparkApplicationId: tf-e2e-spark-app-basic
      serviceinstance: do-not-delete-dataproc-gdc-instance
      project: my-project
      location: us-west2
      namespace: default
      sparkApplicationConfig:
        mainClass: org.apache.spark.examples.SparkPi
        jarFileUris:
          - file:///usr/lib/spark/examples/jars/spark-examples.jar
        args:
          - '10000'

Dataprocgdc Sparkapplication

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

const appEnv = new gcp.dataproc.GdcApplicationEnvironment("app_env", {
    applicationEnvironmentId: "tf-e2e-spark-app-env",
    serviceinstance: "do-not-delete-dataproc-gdc-instance",
    project: "my-project",
    location: "us-west2",
    namespace: "default",
});
const spark_application = new gcp.dataproc.GdcSparkApplication("spark-application", {
    sparkApplicationId: "tf-e2e-spark-app",
    serviceinstance: "do-not-delete-dataproc-gdc-instance",
    project: "my-project",
    location: "us-west2",
    namespace: "default",
    labels: {
        "test-label": "label-value",
    },
    annotations: {
        an_annotation: "annotation_value",
    },
    properties: {
        "spark.executor.instances": "2",
    },
    applicationEnvironment: appEnv.name,
    version: "1.2",
    sparkApplicationConfig: {
        mainJarFileUri: "file:///usr/lib/spark/examples/jars/spark-examples.jar",
        jarFileUris: ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
        archiveUris: ["file://usr/lib/spark/examples/spark-examples.jar"],
        fileUris: ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
    },
});

import pulumi
import pulumi_gcp as gcp

app_env = gcp.dataproc.GdcApplicationEnvironment("app_env",
    application_environment_id="tf-e2e-spark-app-env",
    serviceinstance="do-not-delete-dataproc-gdc-instance",
    project="my-project",
    location="us-west2",
    namespace="default")
spark_application = gcp.dataproc.GdcSparkApplication("spark-application",
    spark_application_id="tf-e2e-spark-app",
    serviceinstance="do-not-delete-dataproc-gdc-instance",
    project="my-project",
    location="us-west2",
    namespace="default",
    labels={
        "test-label": "label-value",
    },
    annotations={
        "an_annotation": "annotation_value",
    },
    properties={
        "spark.executor.instances": "2",
    },
    application_environment=app_env.name,
    version="1.2",
    spark_application_config={
        "main_jar_file_uri": "file:///usr/lib/spark/examples/jars/spark-examples.jar",
        "jar_file_uris": ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
        "archive_uris": ["file://usr/lib/spark/examples/spark-examples.jar"],
        "file_uris": ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
    })

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

return await Deployment.RunAsync(() =>
{
    var appEnv = new Gcp.Dataproc.GdcApplicationEnvironment("app_env", new()
    {
        ApplicationEnvironmentId = "tf-e2e-spark-app-env",
        Serviceinstance = "do-not-delete-dataproc-gdc-instance",
        Project = "my-project",
        Location = "us-west2",
        Namespace = "default",
    });

    var spark_application = new Gcp.Dataproc.GdcSparkApplication("spark-application", new()
    {
        SparkApplicationId = "tf-e2e-spark-app",
        Serviceinstance = "do-not-delete-dataproc-gdc-instance",
        Project = "my-project",
        Location = "us-west2",
        Namespace = "default",
        Labels =
        {
            { "test-label", "label-value" },
        },
        Annotations =
        {
            { "an_annotation", "annotation_value" },
        },
        Properties =
        {
            { "spark.executor.instances", "2" },
        },
        ApplicationEnvironment = appEnv.Name,
        Version = "1.2",
        SparkApplicationConfig = new Gcp.Dataproc.Inputs.GdcSparkApplicationSparkApplicationConfigArgs
        {
            MainJarFileUri = "file:///usr/lib/spark/examples/jars/spark-examples.jar",
            JarFileUris = new[]
            {
                "file:///usr/lib/spark/examples/jars/spark-examples.jar",
            },
            ArchiveUris = new[]
            {
                "file://usr/lib/spark/examples/spark-examples.jar",
            },
            FileUris = new[]
            {
                "file:///usr/lib/spark/examples/jars/spark-examples.jar",
            },
        },
    });

});

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 {
		appEnv, err := dataproc.NewGdcApplicationEnvironment(ctx, "app_env", &dataproc.GdcApplicationEnvironmentArgs{
			ApplicationEnvironmentId: pulumi.String("tf-e2e-spark-app-env"),
			Serviceinstance:          pulumi.String("do-not-delete-dataproc-gdc-instance"),
			Project:                  pulumi.String("my-project"),
			Location:                 pulumi.String("us-west2"),
			Namespace:                pulumi.String("default"),
		})
		if err != nil {
			return err
		}
		_, err = dataproc.NewGdcSparkApplication(ctx, "spark-application", &dataproc.GdcSparkApplicationArgs{
			SparkApplicationId: pulumi.String("tf-e2e-spark-app"),
			Serviceinstance:    pulumi.String("do-not-delete-dataproc-gdc-instance"),
			Project:            pulumi.String("my-project"),
			Location:           pulumi.String("us-west2"),
			Namespace:          pulumi.String("default"),
			Labels: pulumi.StringMap{
				"test-label": pulumi.String("label-value"),
			},
			Annotations: pulumi.StringMap{
				"an_annotation": pulumi.String("annotation_value"),
			},
			Properties: pulumi.StringMap{
				"spark.executor.instances": pulumi.String("2"),
			},
			ApplicationEnvironment: appEnv.Name,
			Version:                pulumi.String("1.2"),
			SparkApplicationConfig: &dataproc.GdcSparkApplicationSparkApplicationConfigArgs{
				MainJarFileUri: pulumi.String("file:///usr/lib/spark/examples/jars/spark-examples.jar"),
				JarFileUris: pulumi.StringArray{
					pulumi.String("file:///usr/lib/spark/examples/jars/spark-examples.jar"),
				},
				ArchiveUris: pulumi.StringArray{
					pulumi.String("file://usr/lib/spark/examples/spark-examples.jar"),
				},
				FileUris: pulumi.StringArray{
					pulumi.String("file:///usr/lib/spark/examples/jars/spark-examples.jar"),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

resource "gcp_dataproc_gdcapplicationenvironment" "app_env" {
  application_environment_id = "tf-e2e-spark-app-env"
  serviceinstance            = "do-not-delete-dataproc-gdc-instance"
  project                    = "my-project"
  location                   = "us-west2"
  namespace                  = "default"
}
resource "gcp_dataproc_gdcsparkapplication" "spark-application" {
  spark_application_id = "tf-e2e-spark-app"
  serviceinstance      = "do-not-delete-dataproc-gdc-instance"
  project              = "my-project"
  location             = "us-west2"
  namespace            = "default"
  labels = {
    "test-label" = "label-value"
  }
  annotations = {
    "an_annotation" = "annotation_value"
  }
  properties = {
    "spark.executor.instances" = "2"
  }
  application_environment = gcp_dataproc_gdcapplicationenvironment.app_env.name
  version                 = "1.2"
  spark_application_config = {
    main_jar_file_uri = "file:///usr/lib/spark/examples/jars/spark-examples.jar"
    jar_file_uris     = ["file:///usr/lib/spark/examples/jars/spark-examples.jar"]
    archive_uris      = ["file://usr/lib/spark/examples/spark-examples.jar"]
    file_uris         = ["file:///usr/lib/spark/examples/jars/spark-examples.jar"]
  }
}

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.dataproc.GdcApplicationEnvironment;
import com.pulumi.gcp.dataproc.GdcApplicationEnvironmentArgs;
import com.pulumi.gcp.dataproc.GdcSparkApplication;
import com.pulumi.gcp.dataproc.GdcSparkApplicationArgs;
import com.pulumi.gcp.dataproc.inputs.GdcSparkApplicationSparkApplicationConfigArgs;
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 appEnv = new GdcApplicationEnvironment("appEnv", GdcApplicationEnvironmentArgs.builder()
            .applicationEnvironmentId("tf-e2e-spark-app-env")
            .serviceinstance("do-not-delete-dataproc-gdc-instance")
            .project("my-project")
            .location("us-west2")
            .namespace("default")
            .build());

        var spark_application = new GdcSparkApplication("spark-application", GdcSparkApplicationArgs.builder()
            .sparkApplicationId("tf-e2e-spark-app")
            .serviceinstance("do-not-delete-dataproc-gdc-instance")
            .project("my-project")
            .location("us-west2")
            .namespace("default")
            .labels(Map.of("test-label", "label-value"))
            .annotations(Map.of("an_annotation", "annotation_value"))
            .properties(Map.of("spark.executor.instances", "2"))
            .applicationEnvironment(appEnv.name())
            .version("1.2")
            .sparkApplicationConfig(GdcSparkApplicationSparkApplicationConfigArgs.builder()
                .mainJarFileUri("file:///usr/lib/spark/examples/jars/spark-examples.jar")
                .jarFileUris("file:///usr/lib/spark/examples/jars/spark-examples.jar")
                .archiveUris("file://usr/lib/spark/examples/spark-examples.jar")
                .fileUris("file:///usr/lib/spark/examples/jars/spark-examples.jar")
                .build())
            .build());

    }
}

resources:
  appEnv:
    type: gcp:dataproc:GdcApplicationEnvironment
    name: app_env
    properties:
      applicationEnvironmentId: tf-e2e-spark-app-env
      serviceinstance: do-not-delete-dataproc-gdc-instance
      project: my-project
      location: us-west2
      namespace: default
  spark-application:
    type: gcp:dataproc:GdcSparkApplication
    properties:
      sparkApplicationId: tf-e2e-spark-app
      serviceinstance: do-not-delete-dataproc-gdc-instance
      project: my-project
      location: us-west2
      namespace: default
      labels:
        test-label: label-value
      annotations:
        an_annotation: annotation_value
      properties:
        spark.executor.instances: '2'
      applicationEnvironment: ${appEnv.name}
      version: '1.2'
      sparkApplicationConfig:
        mainJarFileUri: file:///usr/lib/spark/examples/jars/spark-examples.jar
        jarFileUris:
          - file:///usr/lib/spark/examples/jars/spark-examples.jar
        archiveUris:
          - file://usr/lib/spark/examples/spark-examples.jar
        fileUris:
          - file:///usr/lib/spark/examples/jars/spark-examples.jar

Dataprocgdc Sparkapplication Pyspark

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

const spark_application = new gcp.dataproc.GdcSparkApplication("spark-application", {
    sparkApplicationId: "tf-e2e-pyspark-app",
    serviceinstance: "do-not-delete-dataproc-gdc-instance",
    project: "my-project",
    location: "us-west2",
    namespace: "default",
    displayName: "A Pyspark application for a Terraform create test",
    dependencyImages: ["gcr.io/some/image"],
    pysparkApplicationConfig: {
        mainPythonFileUri: "gs://goog-dataproc-initialization-actions-us-west2/conda/test_conda.py",
        jarFileUris: ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
        pythonFileUris: ["gs://goog-dataproc-initialization-actions-us-west2/conda/get-sys-exec.py"],
        fileUris: ["file://usr/lib/spark/examples/spark-examples.jar"],
        archiveUris: ["file://usr/lib/spark/examples/spark-examples.jar"],
        args: ["10"],
    },
});

import pulumi
import pulumi_gcp as gcp

spark_application = gcp.dataproc.GdcSparkApplication("spark-application",
    spark_application_id="tf-e2e-pyspark-app",
    serviceinstance="do-not-delete-dataproc-gdc-instance",
    project="my-project",
    location="us-west2",
    namespace="default",
    display_name="A Pyspark application for a Terraform create test",
    dependency_images=["gcr.io/some/image"],
    pyspark_application_config={
        "main_python_file_uri": "gs://goog-dataproc-initialization-actions-us-west2/conda/test_conda.py",
        "jar_file_uris": ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
        "python_file_uris": ["gs://goog-dataproc-initialization-actions-us-west2/conda/get-sys-exec.py"],
        "file_uris": ["file://usr/lib/spark/examples/spark-examples.jar"],
        "archive_uris": ["file://usr/lib/spark/examples/spark-examples.jar"],
        "args": ["10"],
    })

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

return await Deployment.RunAsync(() =>
{
    var spark_application = new Gcp.Dataproc.GdcSparkApplication("spark-application", new()
    {
        SparkApplicationId = "tf-e2e-pyspark-app",
        Serviceinstance = "do-not-delete-dataproc-gdc-instance",
        Project = "my-project",
        Location = "us-west2",
        Namespace = "default",
        DisplayName = "A Pyspark application for a Terraform create test",
        DependencyImages = new[]
        {
            "gcr.io/some/image",
        },
        PysparkApplicationConfig = new Gcp.Dataproc.Inputs.GdcSparkApplicationPysparkApplicationConfigArgs
        {
            MainPythonFileUri = "gs://goog-dataproc-initialization-actions-us-west2/conda/test_conda.py",
            JarFileUris = new[]
            {
                "file:///usr/lib/spark/examples/jars/spark-examples.jar",
            },
            PythonFileUris = new[]
            {
                "gs://goog-dataproc-initialization-actions-us-west2/conda/get-sys-exec.py",
            },
            FileUris = new[]
            {
                "file://usr/lib/spark/examples/spark-examples.jar",
            },
            ArchiveUris = new[]
            {
                "file://usr/lib/spark/examples/spark-examples.jar",
            },
            Args = new[]
            {
                "10",
            },
        },
    });

});

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.NewGdcSparkApplication(ctx, "spark-application", &dataproc.GdcSparkApplicationArgs{
			SparkApplicationId: pulumi.String("tf-e2e-pyspark-app"),
			Serviceinstance:    pulumi.String("do-not-delete-dataproc-gdc-instance"),
			Project:            pulumi.String("my-project"),
			Location:           pulumi.String("us-west2"),
			Namespace:          pulumi.String("default"),
			DisplayName:        pulumi.String("A Pyspark application for a Terraform create test"),
			DependencyImages: pulumi.StringArray{
				pulumi.String("gcr.io/some/image"),
			},
			PysparkApplicationConfig: &dataproc.GdcSparkApplicationPysparkApplicationConfigArgs{
				MainPythonFileUri: pulumi.String("gs://goog-dataproc-initialization-actions-us-west2/conda/test_conda.py"),
				JarFileUris: pulumi.StringArray{
					pulumi.String("file:///usr/lib/spark/examples/jars/spark-examples.jar"),
				},
				PythonFileUris: pulumi.StringArray{
					pulumi.String("gs://goog-dataproc-initialization-actions-us-west2/conda/get-sys-exec.py"),
				},
				FileUris: pulumi.StringArray{
					pulumi.String("file://usr/lib/spark/examples/spark-examples.jar"),
				},
				ArchiveUris: pulumi.StringArray{
					pulumi.String("file://usr/lib/spark/examples/spark-examples.jar"),
				},
				Args: pulumi.StringArray{
					pulumi.String("10"),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

resource "gcp_dataproc_gdcsparkapplication" "spark-application" {
  spark_application_id = "tf-e2e-pyspark-app"
  serviceinstance      = "do-not-delete-dataproc-gdc-instance"
  project              = "my-project"
  location             = "us-west2"
  namespace            = "default"
  display_name         = "A Pyspark application for a Terraform create test"
  dependency_images    = ["gcr.io/some/image"]
  pyspark_application_config = {
    main_python_file_uri = "gs://goog-dataproc-initialization-actions-us-west2/conda/test_conda.py"
    jar_file_uris        = ["file:///usr/lib/spark/examples/jars/spark-examples.jar"]
    python_file_uris     = ["gs://goog-dataproc-initialization-actions-us-west2/conda/get-sys-exec.py"]
    file_uris            = ["file://usr/lib/spark/examples/spark-examples.jar"]
    archive_uris         = ["file://usr/lib/spark/examples/spark-examples.jar"]
    args                 = ["10"]
  }
}

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.dataproc.GdcSparkApplication;
import com.pulumi.gcp.dataproc.GdcSparkApplicationArgs;
import com.pulumi.gcp.dataproc.inputs.GdcSparkApplicationPysparkApplicationConfigArgs;
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 spark_application = new GdcSparkApplication("spark-application", GdcSparkApplicationArgs.builder()
            .sparkApplicationId("tf-e2e-pyspark-app")
            .serviceinstance("do-not-delete-dataproc-gdc-instance")
            .project("my-project")
            .location("us-west2")
            .namespace("default")
            .displayName("A Pyspark application for a Terraform create test")
            .dependencyImages("gcr.io/some/image")
            .pysparkApplicationConfig(GdcSparkApplicationPysparkApplicationConfigArgs.builder()
                .mainPythonFileUri("gs://goog-dataproc-initialization-actions-us-west2/conda/test_conda.py")
                .jarFileUris("file:///usr/lib/spark/examples/jars/spark-examples.jar")
                .pythonFileUris("gs://goog-dataproc-initialization-actions-us-west2/conda/get-sys-exec.py")
                .fileUris("file://usr/lib/spark/examples/spark-examples.jar")
                .archiveUris("file://usr/lib/spark/examples/spark-examples.jar")
                .args("10")
                .build())
            .build());

    }
}

resources:
  spark-application:
    type: gcp:dataproc:GdcSparkApplication
    properties:
      sparkApplicationId: tf-e2e-pyspark-app
      serviceinstance: do-not-delete-dataproc-gdc-instance
      project: my-project
      location: us-west2
      namespace: default
      displayName: A Pyspark application for a Terraform create test
      dependencyImages:
        - gcr.io/some/image
      pysparkApplicationConfig:
        mainPythonFileUri: gs://goog-dataproc-initialization-actions-us-west2/conda/test_conda.py
        jarFileUris:
          - file:///usr/lib/spark/examples/jars/spark-examples.jar
        pythonFileUris:
          - gs://goog-dataproc-initialization-actions-us-west2/conda/get-sys-exec.py
        fileUris:
          - file://usr/lib/spark/examples/spark-examples.jar
        archiveUris:
          - file://usr/lib/spark/examples/spark-examples.jar
        args:
          - '10'

Dataprocgdc Sparkapplication Sparkr

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

const spark_application = new gcp.dataproc.GdcSparkApplication("spark-application", {
    sparkApplicationId: "tf-e2e-sparkr-app",
    serviceinstance: "do-not-delete-dataproc-gdc-instance",
    project: "my-project",
    location: "us-west2",
    namespace: "default",
    displayName: "A SparkR application for a Terraform create test",
    sparkRApplicationConfig: {
        mainRFileUri: "gs://some-bucket/something.R",
        fileUris: ["file://usr/lib/spark/examples/spark-examples.jar"],
        archiveUris: ["file://usr/lib/spark/examples/spark-examples.jar"],
        args: ["10"],
    },
});

import pulumi
import pulumi_gcp as gcp

spark_application = gcp.dataproc.GdcSparkApplication("spark-application",
    spark_application_id="tf-e2e-sparkr-app",
    serviceinstance="do-not-delete-dataproc-gdc-instance",
    project="my-project",
    location="us-west2",
    namespace="default",
    display_name="A SparkR application for a Terraform create test",
    spark_r_application_config={
        "main_r_file_uri": "gs://some-bucket/something.R",
        "file_uris": ["file://usr/lib/spark/examples/spark-examples.jar"],
        "archive_uris": ["file://usr/lib/spark/examples/spark-examples.jar"],
        "args": ["10"],
    })

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

return await Deployment.RunAsync(() =>
{
    var spark_application = new Gcp.Dataproc.GdcSparkApplication("spark-application", new()
    {
        SparkApplicationId = "tf-e2e-sparkr-app",
        Serviceinstance = "do-not-delete-dataproc-gdc-instance",
        Project = "my-project",
        Location = "us-west2",
        Namespace = "default",
        DisplayName = "A SparkR application for a Terraform create test",
        SparkRApplicationConfig = new Gcp.Dataproc.Inputs.GdcSparkApplicationSparkRApplicationConfigArgs
        {
            MainRFileUri = "gs://some-bucket/something.R",
            FileUris = new[]
            {
                "file://usr/lib/spark/examples/spark-examples.jar",
            },
            ArchiveUris = new[]
            {
                "file://usr/lib/spark/examples/spark-examples.jar",
            },
            Args = new[]
            {
                "10",
            },
        },
    });

});

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.NewGdcSparkApplication(ctx, "spark-application", &dataproc.GdcSparkApplicationArgs{
			SparkApplicationId: pulumi.String("tf-e2e-sparkr-app"),
			Serviceinstance:    pulumi.String("do-not-delete-dataproc-gdc-instance"),
			Project:            pulumi.String("my-project"),
			Location:           pulumi.String("us-west2"),
			Namespace:          pulumi.String("default"),
			DisplayName:        pulumi.String("A SparkR application for a Terraform create test"),
			SparkRApplicationConfig: &dataproc.GdcSparkApplicationSparkRApplicationConfigArgs{
				MainRFileUri: pulumi.String("gs://some-bucket/something.R"),
				FileUris: pulumi.StringArray{
					pulumi.String("file://usr/lib/spark/examples/spark-examples.jar"),
				},
				ArchiveUris: pulumi.StringArray{
					pulumi.String("file://usr/lib/spark/examples/spark-examples.jar"),
				},
				Args: pulumi.StringArray{
					pulumi.String("10"),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

resource "gcp_dataproc_gdcsparkapplication" "spark-application" {
  spark_application_id = "tf-e2e-sparkr-app"
  serviceinstance      = "do-not-delete-dataproc-gdc-instance"
  project              = "my-project"
  location             = "us-west2"
  namespace            = "default"
  display_name         = "A SparkR application for a Terraform create test"
  spark_r_application_config = {
    main_r_file_uri = "gs://some-bucket/something.R"
    file_uris       = ["file://usr/lib/spark/examples/spark-examples.jar"]
    archive_uris    = ["file://usr/lib/spark/examples/spark-examples.jar"]
    args            = ["10"]
  }
}

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.dataproc.GdcSparkApplication;
import com.pulumi.gcp.dataproc.GdcSparkApplicationArgs;
import com.pulumi.gcp.dataproc.inputs.GdcSparkApplicationSparkRApplicationConfigArgs;
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 spark_application = new GdcSparkApplication("spark-application", GdcSparkApplicationArgs.builder()
            .sparkApplicationId("tf-e2e-sparkr-app")
            .serviceinstance("do-not-delete-dataproc-gdc-instance")
            .project("my-project")
            .location("us-west2")
            .namespace("default")
            .displayName("A SparkR application for a Terraform create test")
            .sparkRApplicationConfig(GdcSparkApplicationSparkRApplicationConfigArgs.builder()
                .mainRFileUri("gs://some-bucket/something.R")
                .fileUris("file://usr/lib/spark/examples/spark-examples.jar")
                .archiveUris("file://usr/lib/spark/examples/spark-examples.jar")
                .args("10")
                .build())
            .build());

    }
}

resources:
  spark-application:
    type: gcp:dataproc:GdcSparkApplication
    properties:
      sparkApplicationId: tf-e2e-sparkr-app
      serviceinstance: do-not-delete-dataproc-gdc-instance
      project: my-project
      location: us-west2
      namespace: default
      displayName: A SparkR application for a Terraform create test
      sparkRApplicationConfig:
        mainRFileUri: gs://some-bucket/something.R
        fileUris:
          - file://usr/lib/spark/examples/spark-examples.jar
        archiveUris:
          - file://usr/lib/spark/examples/spark-examples.jar
        args:
          - '10'

Dataprocgdc Sparkapplication Sparksql

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

const spark_application = new gcp.dataproc.GdcSparkApplication("spark-application", {
    sparkApplicationId: "tf-e2e-sparksql-app",
    serviceinstance: "do-not-delete-dataproc-gdc-instance",
    project: "my-project",
    location: "us-west2",
    namespace: "default",
    displayName: "A SparkSql application for a Terraform create test",
    sparkSqlApplicationConfig: {
        jarFileUris: ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
        queryList: {
            queries: ["show tables;"],
        },
        scriptVariables: {
            MY_VAR: "1",
        },
    },
});

import pulumi
import pulumi_gcp as gcp

spark_application = gcp.dataproc.GdcSparkApplication("spark-application",
    spark_application_id="tf-e2e-sparksql-app",
    serviceinstance="do-not-delete-dataproc-gdc-instance",
    project="my-project",
    location="us-west2",
    namespace="default",
    display_name="A SparkSql application for a Terraform create test",
    spark_sql_application_config={
        "jar_file_uris": ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
        "query_list": {
            "queries": ["show tables;"],
        },
        "script_variables": {
            "MY_VAR": "1",
        },
    })

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

return await Deployment.RunAsync(() =>
{
    var spark_application = new Gcp.Dataproc.GdcSparkApplication("spark-application", new()
    {
        SparkApplicationId = "tf-e2e-sparksql-app",
        Serviceinstance = "do-not-delete-dataproc-gdc-instance",
        Project = "my-project",
        Location = "us-west2",
        Namespace = "default",
        DisplayName = "A SparkSql application for a Terraform create test",
        SparkSqlApplicationConfig = new Gcp.Dataproc.Inputs.GdcSparkApplicationSparkSqlApplicationConfigArgs
        {
            JarFileUris = new[]
            {
                "file:///usr/lib/spark/examples/jars/spark-examples.jar",
            },
            QueryList = new Gcp.Dataproc.Inputs.GdcSparkApplicationSparkSqlApplicationConfigQueryListArgs
            {
                Queries = new[]
                {
                    "show tables;",
                },
            },
            ScriptVariables =
            {
                { "MY_VAR", "1" },
            },
        },
    });

});

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.NewGdcSparkApplication(ctx, "spark-application", &dataproc.GdcSparkApplicationArgs{
			SparkApplicationId: pulumi.String("tf-e2e-sparksql-app"),
			Serviceinstance:    pulumi.String("do-not-delete-dataproc-gdc-instance"),
			Project:            pulumi.String("my-project"),
			Location:           pulumi.String("us-west2"),
			Namespace:          pulumi.String("default"),
			DisplayName:        pulumi.String("A SparkSql application for a Terraform create test"),
			SparkSqlApplicationConfig: &dataproc.GdcSparkApplicationSparkSqlApplicationConfigArgs{
				JarFileUris: pulumi.StringArray{
					pulumi.String("file:///usr/lib/spark/examples/jars/spark-examples.jar"),
				},
				QueryList: &dataproc.GdcSparkApplicationSparkSqlApplicationConfigQueryListArgs{
					Queries: pulumi.StringArray{
						pulumi.String("show tables;"),
					},
				},
				ScriptVariables: pulumi.StringMap{
					"MY_VAR": pulumi.String("1"),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

resource "gcp_dataproc_gdcsparkapplication" "spark-application" {
  spark_application_id = "tf-e2e-sparksql-app"
  serviceinstance      = "do-not-delete-dataproc-gdc-instance"
  project              = "my-project"
  location             = "us-west2"
  namespace            = "default"
  display_name         = "A SparkSql application for a Terraform create test"
  spark_sql_application_config = {
    jar_file_uris = ["file:///usr/lib/spark/examples/jars/spark-examples.jar"]
    query_list = {
      queries = ["show tables;"]
    }
    script_variables = {
      "MY_VAR" = "1"
    }
  }
}

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.dataproc.GdcSparkApplication;
import com.pulumi.gcp.dataproc.GdcSparkApplicationArgs;
import com.pulumi.gcp.dataproc.inputs.GdcSparkApplicationSparkSqlApplicationConfigArgs;
import com.pulumi.gcp.dataproc.inputs.GdcSparkApplicationSparkSqlApplicationConfigQueryListArgs;
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 spark_application = new GdcSparkApplication("spark-application", GdcSparkApplicationArgs.builder()
            .sparkApplicationId("tf-e2e-sparksql-app")
            .serviceinstance("do-not-delete-dataproc-gdc-instance")
            .project("my-project")
            .location("us-west2")
            .namespace("default")
            .displayName("A SparkSql application for a Terraform create test")
            .sparkSqlApplicationConfig(GdcSparkApplicationSparkSqlApplicationConfigArgs.builder()
                .jarFileUris("file:///usr/lib/spark/examples/jars/spark-examples.jar")
                .queryList(GdcSparkApplicationSparkSqlApplicationConfigQueryListArgs.builder()
                    .queries("show tables;")
                    .build())
                .scriptVariables(Map.of("MY_VAR", "1"))
                .build())
            .build());

    }
}

resources:
  spark-application:
    type: gcp:dataproc:GdcSparkApplication
    properties:
      sparkApplicationId: tf-e2e-sparksql-app
      serviceinstance: do-not-delete-dataproc-gdc-instance
      project: my-project
      location: us-west2
      namespace: default
      displayName: A SparkSql application for a Terraform create test
      sparkSqlApplicationConfig:
        jarFileUris:
          - file:///usr/lib/spark/examples/jars/spark-examples.jar
        queryList:
          queries:
            - show tables;
        scriptVariables:
          MY_VAR: '1'

Dataprocgdc Sparkapplication Sparksql Query File

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

const spark_application = new gcp.dataproc.GdcSparkApplication("spark-application", {
    sparkApplicationId: "tf-e2e-sparksql-app",
    serviceinstance: "do-not-delete-dataproc-gdc-instance",
    project: "my-project",
    location: "us-west2",
    namespace: "default",
    displayName: "A SparkSql application for a Terraform create test",
    sparkSqlApplicationConfig: {
        jarFileUris: ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
        queryFileUri: "gs://some-bucket/something.sql",
        scriptVariables: {
            MY_VAR: "1",
        },
    },
});

import pulumi
import pulumi_gcp as gcp

spark_application = gcp.dataproc.GdcSparkApplication("spark-application",
    spark_application_id="tf-e2e-sparksql-app",
    serviceinstance="do-not-delete-dataproc-gdc-instance",
    project="my-project",
    location="us-west2",
    namespace="default",
    display_name="A SparkSql application for a Terraform create test",
    spark_sql_application_config={
        "jar_file_uris": ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
        "query_file_uri": "gs://some-bucket/something.sql",
        "script_variables": {
            "MY_VAR": "1",
        },
    })

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

return await Deployment.RunAsync(() =>
{
    var spark_application = new Gcp.Dataproc.GdcSparkApplication("spark-application", new()
    {
        SparkApplicationId = "tf-e2e-sparksql-app",
        Serviceinstance = "do-not-delete-dataproc-gdc-instance",
        Project = "my-project",
        Location = "us-west2",
        Namespace = "default",
        DisplayName = "A SparkSql application for a Terraform create test",
        SparkSqlApplicationConfig = new Gcp.Dataproc.Inputs.GdcSparkApplicationSparkSqlApplicationConfigArgs
        {
            JarFileUris = new[]
            {
                "file:///usr/lib/spark/examples/jars/spark-examples.jar",
            },
            QueryFileUri = "gs://some-bucket/something.sql",
            ScriptVariables =
            {
                { "MY_VAR", "1" },
            },
        },
    });

});

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.NewGdcSparkApplication(ctx, "spark-application", &dataproc.GdcSparkApplicationArgs{
			SparkApplicationId: pulumi.String("tf-e2e-sparksql-app"),
			Serviceinstance:    pulumi.String("do-not-delete-dataproc-gdc-instance"),
			Project:            pulumi.String("my-project"),
			Location:           pulumi.String("us-west2"),
			Namespace:          pulumi.String("default"),
			DisplayName:        pulumi.String("A SparkSql application for a Terraform create test"),
			SparkSqlApplicationConfig: &dataproc.GdcSparkApplicationSparkSqlApplicationConfigArgs{
				JarFileUris: pulumi.StringArray{
					pulumi.String("file:///usr/lib/spark/examples/jars/spark-examples.jar"),
				},
				QueryFileUri: pulumi.String("gs://some-bucket/something.sql"),
				ScriptVariables: pulumi.StringMap{
					"MY_VAR": pulumi.String("1"),
				},
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

resource "gcp_dataproc_gdcsparkapplication" "spark-application" {
  spark_application_id = "tf-e2e-sparksql-app"
  serviceinstance      = "do-not-delete-dataproc-gdc-instance"
  project              = "my-project"
  location             = "us-west2"
  namespace            = "default"
  display_name         = "A SparkSql application for a Terraform create test"
  spark_sql_application_config = {
    jar_file_uris  = ["file:///usr/lib/spark/examples/jars/spark-examples.jar"]
    query_file_uri = "gs://some-bucket/something.sql"
    script_variables = {
      "MY_VAR" = "1"
    }
  }
}

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.dataproc.GdcSparkApplication;
import com.pulumi.gcp.dataproc.GdcSparkApplicationArgs;
import com.pulumi.gcp.dataproc.inputs.GdcSparkApplicationSparkSqlApplicationConfigArgs;
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 spark_application = new GdcSparkApplication("spark-application", GdcSparkApplicationArgs.builder()
            .sparkApplicationId("tf-e2e-sparksql-app")
            .serviceinstance("do-not-delete-dataproc-gdc-instance")
            .project("my-project")
            .location("us-west2")
            .namespace("default")
            .displayName("A SparkSql application for a Terraform create test")
            .sparkSqlApplicationConfig(GdcSparkApplicationSparkSqlApplicationConfigArgs.builder()
                .jarFileUris("file:///usr/lib/spark/examples/jars/spark-examples.jar")
                .queryFileUri("gs://some-bucket/something.sql")
                .scriptVariables(Map.of("MY_VAR", "1"))
                .build())
            .build());

    }
}

resources:
  spark-application:
    type: gcp:dataproc:GdcSparkApplication
    properties:
      sparkApplicationId: tf-e2e-sparksql-app
      serviceinstance: do-not-delete-dataproc-gdc-instance
      project: my-project
      location: us-west2
      namespace: default
      displayName: A SparkSql application for a Terraform create test
      sparkSqlApplicationConfig:
        jarFileUris:
          - file:///usr/lib/spark/examples/jars/spark-examples.jar
        queryFileUri: gs://some-bucket/something.sql
        scriptVariables:
          MY_VAR: '1'

Import

SparkApplication can be imported using any of these accepted formats:

projects/{{project}}/locations/{{location}}/serviceInstances/{{serviceinstance}}/sparkApplications/{{spark_application_id}}
{{project}}/{{location}}/{{serviceinstance}}/{{spark_application_id}}
{{location}}/{{serviceinstance}}/{{spark_application_id}}

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

$ pulumi import gcp:dataproc/gdcSparkApplication:GdcSparkApplication default projects/{{project}}/locations/{{location}}/serviceInstances/{{serviceinstance}}/sparkApplications/{{spark_application_id}}
$ pulumi import gcp:dataproc/gdcSparkApplication:GdcSparkApplication default {{project}}/{{location}}/{{serviceinstance}}/{{spark_application_id}}
$ pulumi import gcp:dataproc/gdcSparkApplication:GdcSparkApplication default {{location}}/{{serviceinstance}}/{{spark_application_id}}

Constructors

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

Properties

annotations ↔ Output<Map<String, String>?>: The annotations to associate with this application. Annotations may be used to store client information, but are not used by the server. Note: This field is non-authoritative, and will only manage the annotations present in your configuration. Please refer to the field effectiveAnnotations for all of the annotations present on the resource.
latefinal
applicationEnvironment ↔ Output<String?>: An ApplicationEnvironment from which to inherit configuration properties.
latefinal
childResources → Set<Resource>: finalinherited
completionSources ↔ Map<String, IOutputCompletionSource>: latefinalinherited
createTime ↔ Output<String>: The timestamp when the resource was created.
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
dependencyImages ↔ Output<List<String>?>: List of container image uris for additional file dependencies. Dependent files are sequentially copied from each image. If a file with the same name exists in 2 images then the file from later image is used.
latefinal
displayName ↔ Output<String?>: User-provided human-readable name to be used in user interfaces.
latefinal
effectiveAnnotations ↔ Output<Map<String, String>>: All of annotations (key/value pairs) present on the resource in GCP, including the annotations configured through Terraform, other clients and services.
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
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
labels ↔ Output<Map<String, String>?>: The labels to associate with this application. Labels may be used for filtering and billing tracking. Note: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field effectiveLabels for all of the labels present on the resource.
latefinal
location ↔ Output<String>: The location of the spark application.
latefinal
monitoringEndpoint ↔ Output<String>: URL for a monitoring UI for this application (for eventual Spark PHS/UI support) Out of scope for private GA
latefinal
name ↔ Output<String>: Identifier. The name of the application. Format: projects/{project}/locations/{location}/serviceInstances/{service_instance}/sparkApplications/{application}
latefinal
namespace ↔ Output<String?>: The Kubernetes namespace in which to create the application. This namespace must already exist on the cluster.
latefinal
outputUri ↔ Output<String>: An HCFS URI pointing to the location of stdout and stdout of the application Mainly useful for Pantheon and gcloud Not in scope for private GA
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
properties ↔ Output<Map<String, String>?>: application-specific properties.
latefinal
pulumiLabels ↔ Output<Map<String, String>>: The combination of labels configured directly on the resource and default labels configured on the provider.
latefinal
pysparkApplicationConfig ↔ Output<GdcSparkApplicationPysparkApplicationConfig?>: Represents the PySparkApplicationConfig. Structure is documented below.
latefinal
reconciling ↔ Output<bool>: Whether the application is currently reconciling. True if the current state of the resource does not match the intended state, and the system is working to reconcile them, whether or not the change was user initiated.
latefinal
resourceTransforms → List<ResourceTransform>: Inherited/explicit async transforms.
no setterinherited
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited
serviceinstance ↔ Output<String>: The id of the service instance to which this spark application belongs.
latefinal
sparkApplicationConfig ↔ Output<GdcSparkApplicationSparkApplicationConfig?>: Represents the SparkApplicationConfig. Structure is documented below.
latefinal
sparkApplicationId ↔ Output<String>: The id of the application
latefinal
sparkRApplicationConfig ↔ Output<GdcSparkApplicationSparkRApplicationConfig?>: Represents the SparkRApplicationConfig. Structure is documented below.
latefinal
sparkSqlApplicationConfig ↔ Output<GdcSparkApplicationSparkSqlApplicationConfig?>: Represents the SparkRApplicationConfig. Structure is documented below.
latefinal
state ↔ Output<String>: The current state. Possible values:
latefinal
stateMessage ↔ Output<String>: A message explaining the current state.
latefinal
transformations → List<ResourceTransformation>: Inherited/explicit legacy transformations.
no setterinherited
uid ↔ Output<String>: System generated unique identifier for this application, formatted as UUID4.
latefinal
updateTime ↔ Output<String>: The timestamp when the resource was most recently updated.
latefinal
urn ↔ Output<String>: latefinalinherited
version ↔ Output<String?>: The Dataproc version of this application.
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, {GdcSparkApplicationState? state, CustomResourceOptions? options}) → GdcSparkApplication: Gets an existing GdcSparkApplication resource's state with the given name and id.