import * as pulumi from "@pulumi/pulumi";
import * as inputs from "../types/input";
import * as outputs from "../types/output";
/**
 * Dataproc Serverless Batches lets you run Spark workloads without requiring you to
 * provision and manage your own Dataproc cluster.
 *
 * To get more information about Batch, see:
 *
 * * [API documentation](https://cloud.google.com/dataproc-serverless/docs/reference/rest/v1/projects.locations.batches)
 * * How-to Guides
 *     * [Dataproc Serverless Batches Intro](https://cloud.google.com/dataproc-serverless/docs/overview)
 *
 * ## Example Usage
 *
 * ### Dataproc Batch Spark
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const exampleBatchSpark = new gcp.dataproc.Batch("example_batch_spark", {
 *     batchId: "tf-test-batch_37118",
 *     location: "us-central1",
 *     labels: {
 *         batch_test: "terraform",
 *     },
 *     runtimeConfig: {
 *         properties: {
 *             "spark.dynamicAllocation.enabled": "false",
 *             "spark.executor.instances": "2",
 *         },
 *     },
 *     environmentConfig: {
 *         executionConfig: {
 *             subnetworkUri: "default",
 *             ttl: "3600s",
 *             networkTags: ["tag1"],
 *         },
 *     },
 *     sparkBatch: {
 *         mainClass: "org.apache.spark.examples.SparkPi",
 *         args: ["10"],
 *         jarFileUris: ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
 *     },
 * });
 * ```
 * ### Dataproc Batch Spark Full
 *
 * ```typescript
 * 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-${project.number}@dataproc-accounts.iam.gserviceaccount.com`),
 * });
 * const ms = new gcp.dataproc.MetastoreService("ms", {
 *     serviceId: "dataproc-batch",
 *     location: "us-central1",
 *     port: 9080,
 *     tier: "DEVELOPER",
 *     maintenanceWindow: {
 *         hourOfDay: 2,
 *         dayOfWeek: "SUNDAY",
 *     },
 *     hiveMetastoreConfig: {
 *         version: "3.1.2",
 *     },
 * });
 * const basic = new gcp.dataproc.Cluster("basic", {
 *     name: "dataproc-batch",
 *     region: "us-central1",
 *     clusterConfig: {
 *         softwareConfig: {
 *             overrideProperties: {
 *                 "dataproc:dataproc.allow.zero.workers": "true",
 *                 "spark:spark.history.fs.logDirectory": pulumi.interpolate`gs://${bucket.name}/*&#47;spark-job-history`,
 *             },
 *         },
 *         endpointConfig: {
 *             enableHttpPortAccess: true,
 *         },
 *         masterConfig: {
 *             numInstances: 1,
 *             machineType: "e2-standard-2",
 *             diskConfig: {
 *                 bootDiskSizeGb: 35,
 *             },
 *         },
 *         metastoreConfig: {
 *             dataprocMetastoreService: ms.name,
 *         },
 *     },
 * });
 * const exampleBatchSpark = new gcp.dataproc.Batch("example_batch_spark", {
 *     batchId: "dataproc-batch",
 *     location: "us-central1",
 *     labels: {
 *         batch_test: "terraform",
 *     },
 *     runtimeConfig: {
 *         properties: {
 *             "spark.dynamicAllocation.enabled": "false",
 *             "spark.executor.instances": "2",
 *         },
 *         version: "2.2",
 *     },
 *     environmentConfig: {
 *         executionConfig: {
 *             ttl: "3600s",
 *             networkTags: ["tag1"],
 *             kmsKey: "example-key",
 *             networkUri: "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,
 *             },
 *         },
 *     },
 *     sparkBatch: {
 *         mainClass: "org.apache.spark.examples.SparkPi",
 *         args: ["10"],
 *         jarFileUris: ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
 *     },
 * }, {
 *     dependsOn: [cryptoKeyMember1],
 * });
 * ```
 * ### Dataproc Batch Sparksql
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const exampleBatchSparsql = new gcp.dataproc.Batch("example_batch_sparsql", {
 *     batchId: "tf-test-batch_80332",
 *     location: "us-central1",
 *     runtimeConfig: {
 *         properties: {
 *             "spark.dynamicAllocation.enabled": "false",
 *             "spark.executor.instances": "2",
 *         },
 *     },
 *     environmentConfig: {
 *         executionConfig: {
 *             subnetworkUri: "default",
 *         },
 *     },
 *     sparkSqlBatch: {
 *         queryFileUri: "gs://dataproc-examples/spark-sql/natality/cigarette_correlations.sql",
 *         jarFileUris: ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
 *         queryVariables: {
 *             name: "value",
 *         },
 *     },
 * });
 * ```
 * ### Dataproc Batch Pyspark
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const exampleBatchPyspark = new gcp.dataproc.Batch("example_batch_pyspark", {
 *     batchId: "tf-test-batch_13293",
 *     location: "us-central1",
 *     runtimeConfig: {
 *         properties: {
 *             "spark.dynamicAllocation.enabled": "false",
 *             "spark.executor.instances": "2",
 *         },
 *     },
 *     environmentConfig: {
 *         executionConfig: {
 *             subnetworkUri: "default",
 *         },
 *     },
 *     pysparkBatch: {
 *         mainPythonFileUri: "https://storage.googleapis.com/terraform-batches/test_util.py",
 *         args: ["10"],
 *         jarFileUris: ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
 *         pythonFileUris: ["gs://dataproc-examples/pyspark/hello-world/hello-world.py"],
 *         archiveUris: [
 *             "https://storage.googleapis.com/terraform-batches/animals.txt.tar.gz#unpacked",
 *             "https://storage.googleapis.com/terraform-batches/animals.txt.jar",
 *             "https://storage.googleapis.com/terraform-batches/animals.txt",
 *         ],
 *         fileUris: ["https://storage.googleapis.com/terraform-batches/people.txt"],
 *     },
 * });
 * ```
 * ### Dataproc Batch Sparkr
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const exampleBatchSparkr = new gcp.dataproc.Batch("example_batch_sparkr", {
 *     batchId: "tf-test-batch_40289",
 *     location: "us-central1",
 *     labels: {
 *         batch_test: "terraform",
 *     },
 *     runtimeConfig: {
 *         properties: {
 *             "spark.dynamicAllocation.enabled": "false",
 *             "spark.executor.instances": "2",
 *         },
 *     },
 *     environmentConfig: {
 *         executionConfig: {
 *             subnetworkUri: "default",
 *             ttl: "3600s",
 *             networkTags: ["tag1"],
 *         },
 *     },
 *     sparkRBatch: {
 *         mainRFileUri: "https://storage.googleapis.com/terraform-batches/spark-r-flights.r",
 *         args: ["https://storage.googleapis.com/terraform-batches/flights.csv"],
 *     },
 * });
 * ```
 * ### Dataproc Batch Autotuning
 *
 * ```typescript
 * import * as pulumi from "@pulumi/pulumi";
 * import * as gcp from "@pulumi/gcp";
 *
 * const exampleBatchAutotuning = new gcp.dataproc.Batch("example_batch_autotuning", {
 *     batchId: "tf-test-batch_33395",
 *     location: "us-central1",
 *     labels: {
 *         batch_test: "terraform",
 *     },
 *     runtimeConfig: {
 *         version: "2.2",
 *         properties: {
 *             "spark.dynamicAllocation.enabled": "false",
 *             "spark.executor.instances": "2",
 *         },
 *         cohort: "tf-dataproc-batch-example",
 *         autotuningConfig: {
 *             scenarios: [
 *                 "SCALING",
 *                 "MEMORY",
 *             ],
 *         },
 *     },
 *     environmentConfig: {
 *         executionConfig: {
 *             subnetworkUri: "default",
 *             ttl: "3600s",
 *         },
 *     },
 *     sparkBatch: {
 *         mainClass: "org.apache.spark.examples.SparkPi",
 *         args: ["10"],
 *         jarFileUris: ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
 *     },
 * });
 * ```
 *
 * ## Import
 *
 * Batch can be imported using any of these accepted formats:
 *
 * * `projects/{{project}}/locations/{{location}}/batches/{{batch_id}}`
 *
 * * `{{project}}/{{location}}/{{batch_id}}`
 *
 * * `{{location}}/{{batch_id}}`
 *
 * When using the `pulumi import` command, Batch can be imported using one of the formats above. For example:
 *
 * ```sh
 * $ pulumi import gcp:dataproc/batch:Batch default projects/{{project}}/locations/{{location}}/batches/{{batch_id}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:dataproc/batch:Batch default {{project}}/{{location}}/{{batch_id}}
 * ```
 *
 * ```sh
 * $ pulumi import gcp:dataproc/batch:Batch default {{location}}/{{batch_id}}
 * ```
 */
export declare class Batch extends pulumi.CustomResource {
    /**
     * Get an existing Batch resource's state with the given name, ID, and optional extra
     * properties used to qualify the lookup.
     *
     * @param name The _unique_ name of the resulting resource.
     * @param id The _unique_ provider ID of the resource to lookup.
     * @param state Any extra arguments used during the lookup.
     * @param opts Optional settings to control the behavior of the CustomResource.
     */
    static get(name: string, id: pulumi.Input<pulumi.ID>, state?: BatchState, opts?: pulumi.CustomResourceOptions): Batch;
    /**
     * Returns true if the given object is an instance of Batch.  This is designed to work even
     * when multiple copies of the Pulumi SDK have been loaded into the same process.
     */
    static isInstance(obj: any): obj is Batch;
    /**
     * The ID to use for the batch, which will become the final component of the batch's resource name.
     * This value must be 4-63 characters. Valid characters are /[a-z][0-9]-/.
     */
    readonly batchId: pulumi.Output<string | undefined>;
    /**
     * The time when the batch was created.
     */
    readonly createTime: pulumi.Output<string>;
    /**
     * The email address of the user who created the batch.
     */
    readonly creator: pulumi.Output<string>;
    /**
     * All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
     */
    readonly effectiveLabels: pulumi.Output<{
        [key: string]: string;
    }>;
    /**
     * Environment configuration for the batch execution.
     * Structure is documented below.
     */
    readonly environmentConfig: pulumi.Output<outputs.dataproc.BatchEnvironmentConfig | undefined>;
    /**
     * The labels to associate with this batch.
     *
     * **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.
     */
    readonly labels: pulumi.Output<{
        [key: string]: string;
    } | undefined>;
    /**
     * The location in which the batch will be created in.
     */
    readonly location: pulumi.Output<string | undefined>;
    /**
     * The resource name of the batch.
     */
    readonly name: pulumi.Output<string>;
    /**
     * The resource name of the operation associated with this batch.
     */
    readonly operation: pulumi.Output<string>;
    /**
     * The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    readonly project: pulumi.Output<string>;
    /**
     * The combination of labels configured directly on the resource
     * and default labels configured on the provider.
     */
    readonly pulumiLabels: pulumi.Output<{
        [key: string]: string;
    }>;
    /**
     * PySpark batch config.
     * Structure is documented below.
     */
    readonly pysparkBatch: pulumi.Output<outputs.dataproc.BatchPysparkBatch | undefined>;
    /**
     * Runtime configuration for the batch execution.
     * Structure is documented below.
     */
    readonly runtimeConfig: pulumi.Output<outputs.dataproc.BatchRuntimeConfig | undefined>;
    /**
     * Runtime information about batch execution.
     * Structure is documented below.
     */
    readonly runtimeInfos: pulumi.Output<outputs.dataproc.BatchRuntimeInfo[]>;
    /**
     * Spark batch config.
     * Structure is documented below.
     */
    readonly sparkBatch: pulumi.Output<outputs.dataproc.BatchSparkBatch | undefined>;
    /**
     * SparkR batch config.
     * Structure is documented below.
     */
    readonly sparkRBatch: pulumi.Output<outputs.dataproc.BatchSparkRBatch | undefined>;
    /**
     * Spark SQL batch config.
     * Structure is documented below.
     */
    readonly sparkSqlBatch: pulumi.Output<outputs.dataproc.BatchSparkSqlBatch | undefined>;
    /**
     * (Output)
     * The state of the batch at this point in history. For possible values, see the [API documentation](https://cloud.google.com/dataproc-serverless/docs/reference/rest/v1/projects.locations.batches#State).
     */
    readonly state: pulumi.Output<string>;
    /**
     * Historical state information for the batch.
     * Structure is documented below.
     */
    readonly stateHistories: pulumi.Output<outputs.dataproc.BatchStateHistory[]>;
    /**
     * (Output)
     * Details about the state at this point in history.
     */
    readonly stateMessage: pulumi.Output<string>;
    /**
     * Batch state details, such as a failure description if the state is FAILED.
     */
    readonly stateTime: pulumi.Output<string>;
    /**
     * A batch UUID (Unique Universal Identifier). The service generates this value when it creates the batch.
     */
    readonly uuid: pulumi.Output<string>;
    /**
     * Create a Batch resource with the given unique name, arguments, and options.
     *
     * @param name The _unique_ name of the resource.
     * @param args The arguments to use to populate this resource's properties.
     * @param opts A bag of options that control this resource's behavior.
     */
    constructor(name: string, args?: BatchArgs, opts?: pulumi.CustomResourceOptions);
}
/**
 * Input properties used for looking up and filtering Batch resources.
 */
export interface BatchState {
    /**
     * The ID to use for the batch, which will become the final component of the batch's resource name.
     * This value must be 4-63 characters. Valid characters are /[a-z][0-9]-/.
     */
    batchId?: pulumi.Input<string>;
    /**
     * The time when the batch was created.
     */
    createTime?: pulumi.Input<string>;
    /**
     * The email address of the user who created the batch.
     */
    creator?: pulumi.Input<string>;
    /**
     * All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.
     */
    effectiveLabels?: pulumi.Input<{
        [key: string]: pulumi.Input<string>;
    }>;
    /**
     * Environment configuration for the batch execution.
     * Structure is documented below.
     */
    environmentConfig?: pulumi.Input<inputs.dataproc.BatchEnvironmentConfig>;
    /**
     * The labels to associate with this batch.
     *
     * **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.
     */
    labels?: pulumi.Input<{
        [key: string]: pulumi.Input<string>;
    }>;
    /**
     * The location in which the batch will be created in.
     */
    location?: pulumi.Input<string>;
    /**
     * The resource name of the batch.
     */
    name?: pulumi.Input<string>;
    /**
     * The resource name of the operation associated with this batch.
     */
    operation?: pulumi.Input<string>;
    /**
     * The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    project?: pulumi.Input<string>;
    /**
     * The combination of labels configured directly on the resource
     * and default labels configured on the provider.
     */
    pulumiLabels?: pulumi.Input<{
        [key: string]: pulumi.Input<string>;
    }>;
    /**
     * PySpark batch config.
     * Structure is documented below.
     */
    pysparkBatch?: pulumi.Input<inputs.dataproc.BatchPysparkBatch>;
    /**
     * Runtime configuration for the batch execution.
     * Structure is documented below.
     */
    runtimeConfig?: pulumi.Input<inputs.dataproc.BatchRuntimeConfig>;
    /**
     * Runtime information about batch execution.
     * Structure is documented below.
     */
    runtimeInfos?: pulumi.Input<pulumi.Input<inputs.dataproc.BatchRuntimeInfo>[]>;
    /**
     * Spark batch config.
     * Structure is documented below.
     */
    sparkBatch?: pulumi.Input<inputs.dataproc.BatchSparkBatch>;
    /**
     * SparkR batch config.
     * Structure is documented below.
     */
    sparkRBatch?: pulumi.Input<inputs.dataproc.BatchSparkRBatch>;
    /**
     * Spark SQL batch config.
     * Structure is documented below.
     */
    sparkSqlBatch?: pulumi.Input<inputs.dataproc.BatchSparkSqlBatch>;
    /**
     * (Output)
     * The state of the batch at this point in history. For possible values, see the [API documentation](https://cloud.google.com/dataproc-serverless/docs/reference/rest/v1/projects.locations.batches#State).
     */
    state?: pulumi.Input<string>;
    /**
     * Historical state information for the batch.
     * Structure is documented below.
     */
    stateHistories?: pulumi.Input<pulumi.Input<inputs.dataproc.BatchStateHistory>[]>;
    /**
     * (Output)
     * Details about the state at this point in history.
     */
    stateMessage?: pulumi.Input<string>;
    /**
     * Batch state details, such as a failure description if the state is FAILED.
     */
    stateTime?: pulumi.Input<string>;
    /**
     * A batch UUID (Unique Universal Identifier). The service generates this value when it creates the batch.
     */
    uuid?: pulumi.Input<string>;
}
/**
 * The set of arguments for constructing a Batch resource.
 */
export interface BatchArgs {
    /**
     * The ID to use for the batch, which will become the final component of the batch's resource name.
     * This value must be 4-63 characters. Valid characters are /[a-z][0-9]-/.
     */
    batchId?: pulumi.Input<string>;
    /**
     * Environment configuration for the batch execution.
     * Structure is documented below.
     */
    environmentConfig?: pulumi.Input<inputs.dataproc.BatchEnvironmentConfig>;
    /**
     * The labels to associate with this batch.
     *
     * **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.
     */
    labels?: pulumi.Input<{
        [key: string]: pulumi.Input<string>;
    }>;
    /**
     * The location in which the batch will be created in.
     */
    location?: pulumi.Input<string>;
    /**
     * The ID of the project in which the resource belongs.
     * If it is not provided, the provider project is used.
     */
    project?: pulumi.Input<string>;
    /**
     * PySpark batch config.
     * Structure is documented below.
     */
    pysparkBatch?: pulumi.Input<inputs.dataproc.BatchPysparkBatch>;
    /**
     * Runtime configuration for the batch execution.
     * Structure is documented below.
     */
    runtimeConfig?: pulumi.Input<inputs.dataproc.BatchRuntimeConfig>;
    /**
     * Spark batch config.
     * Structure is documented below.
     */
    sparkBatch?: pulumi.Input<inputs.dataproc.BatchSparkBatch>;
    /**
     * SparkR batch config.
     * Structure is documented below.
     */
    sparkRBatch?: pulumi.Input<inputs.dataproc.BatchSparkRBatch>;
    /**
     * Spark SQL batch config.
     * Structure is documented below.
     */
    sparkSqlBatch?: pulumi.Input<inputs.dataproc.BatchSparkSqlBatch>;
}
