Google Cloud Classic v7.19.0, Apr 18 24

Google Cloud Classic v7.19.0 published on Thursday, Apr 18, 2024 by Pulumi

gcp.dataproc.Job

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Google Cloud Classic v7.19.0 published on Thursday, Apr 18, 2024 by Pulumi

Example Usage

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

const mycluster = new gcp.dataproc.Cluster("mycluster", {
    name: "dproc-cluster-unique-name",
    region: "us-central1",
});
// Submit an example spark job to a dataproc cluster
const spark = new gcp.dataproc.Job("spark", {
    region: mycluster.region,
    forceDelete: true,
    placement: {
        clusterName: mycluster.name,
    },
    sparkConfig: {
        mainClass: "org.apache.spark.examples.SparkPi",
        jarFileUris: ["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
        args: ["1000"],
        properties: {
            "spark.logConf": "true",
        },
        loggingConfig: {
            driverLogLevels: {
                root: "INFO",
            },
        },
    },
});
// Submit an example pyspark job to a dataproc cluster
const pyspark = new gcp.dataproc.Job("pyspark", {
    region: mycluster.region,
    forceDelete: true,
    placement: {
        clusterName: mycluster.name,
    },
    pysparkConfig: {
        mainPythonFileUri: "gs://dataproc-examples-2f10d78d114f6aaec76462e3c310f31f/src/pyspark/hello-world/hello-world.py",
        properties: {
            "spark.logConf": "true",
        },
    },
});
export const sparkStatus = spark.statuses.apply(statuses => statuses[0].state);
export const pysparkStatus = pyspark.statuses.apply(statuses => statuses[0].state);

import pulumi
import pulumi_gcp as gcp

mycluster = gcp.dataproc.Cluster("mycluster",
    name="dproc-cluster-unique-name",
    region="us-central1")
# Submit an example spark job to a dataproc cluster
spark = gcp.dataproc.Job("spark",
    region=mycluster.region,
    force_delete=True,
    placement=gcp.dataproc.JobPlacementArgs(
        cluster_name=mycluster.name,
    ),
    spark_config=gcp.dataproc.JobSparkConfigArgs(
        main_class="org.apache.spark.examples.SparkPi",
        jar_file_uris=["file:///usr/lib/spark/examples/jars/spark-examples.jar"],
        args=["1000"],
        properties={
            "spark.logConf": "true",
        },
        logging_config=gcp.dataproc.JobSparkConfigLoggingConfigArgs(
            driver_log_levels={
                "root": "INFO",
            },
        ),
    ))
# Submit an example pyspark job to a dataproc cluster
pyspark = gcp.dataproc.Job("pyspark",
    region=mycluster.region,
    force_delete=True,
    placement=gcp.dataproc.JobPlacementArgs(
        cluster_name=mycluster.name,
    ),
    pyspark_config=gcp.dataproc.JobPysparkConfigArgs(
        main_python_file_uri="gs://dataproc-examples-2f10d78d114f6aaec76462e3c310f31f/src/pyspark/hello-world/hello-world.py",
        properties={
            "spark.logConf": "true",
        },
    ))
pulumi.export("sparkStatus", spark.statuses[0].state)
pulumi.export("pysparkStatus", pyspark.statuses[0].state)

package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/dataproc"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		mycluster, err := dataproc.NewCluster(ctx, "mycluster", &dataproc.ClusterArgs{
			Name:   pulumi.String("dproc-cluster-unique-name"),
			Region: pulumi.String("us-central1"),
		})
		if err != nil {
			return err
		}
		// Submit an example spark job to a dataproc cluster
		spark, err := dataproc.NewJob(ctx, "spark", &dataproc.JobArgs{
			Region:      mycluster.Region,
			ForceDelete: pulumi.Bool(true),
			Placement: &dataproc.JobPlacementArgs{
				ClusterName: mycluster.Name,
			},
			SparkConfig: &dataproc.JobSparkConfigArgs{
				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("1000"),
				},
				Properties: pulumi.StringMap{
					"spark.logConf": pulumi.String("true"),
				},
				LoggingConfig: &dataproc.JobSparkConfigLoggingConfigArgs{
					DriverLogLevels: pulumi.StringMap{
						"root": pulumi.String("INFO"),
					},
				},
			},
		})
		if err != nil {
			return err
		}
		// Submit an example pyspark job to a dataproc cluster
		pyspark, err := dataproc.NewJob(ctx, "pyspark", &dataproc.JobArgs{
			Region:      mycluster.Region,
			ForceDelete: pulumi.Bool(true),
			Placement: &dataproc.JobPlacementArgs{
				ClusterName: mycluster.Name,
			},
			PysparkConfig: &dataproc.JobPysparkConfigArgs{
				MainPythonFileUri: pulumi.String("gs://dataproc-examples-2f10d78d114f6aaec76462e3c310f31f/src/pyspark/hello-world/hello-world.py"),
				Properties: pulumi.StringMap{
					"spark.logConf": pulumi.String("true"),
				},
			},
		})
		if err != nil {
			return err
		}
		ctx.Export("sparkStatus", spark.Statuses.ApplyT(func(statuses []dataproc.JobStatus) (*string, error) {
			return &statuses[0].State, nil
		}).(pulumi.StringPtrOutput))
		ctx.Export("pysparkStatus", pyspark.Statuses.ApplyT(func(statuses []dataproc.JobStatus) (*string, error) {
			return &statuses[0].State, nil
		}).(pulumi.StringPtrOutput))
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var mycluster = new Gcp.Dataproc.Cluster("mycluster", new()
    {
        Name = "dproc-cluster-unique-name",
        Region = "us-central1",
    });

    // Submit an example spark job to a dataproc cluster
    var spark = new Gcp.Dataproc.Job("spark", new()
    {
        Region = mycluster.Region,
        ForceDelete = true,
        Placement = new Gcp.Dataproc.Inputs.JobPlacementArgs
        {
            ClusterName = mycluster.Name,
        },
        SparkConfig = new Gcp.Dataproc.Inputs.JobSparkConfigArgs
        {
            MainClass = "org.apache.spark.examples.SparkPi",
            JarFileUris = new[]
            {
                "file:///usr/lib/spark/examples/jars/spark-examples.jar",
            },
            Args = new[]
            {
                "1000",
            },
            Properties = 
            {
                { "spark.logConf", "true" },
            },
            LoggingConfig = new Gcp.Dataproc.Inputs.JobSparkConfigLoggingConfigArgs
            {
                DriverLogLevels = 
                {
                    { "root", "INFO" },
                },
            },
        },
    });

    // Submit an example pyspark job to a dataproc cluster
    var pyspark = new Gcp.Dataproc.Job("pyspark", new()
    {
        Region = mycluster.Region,
        ForceDelete = true,
        Placement = new Gcp.Dataproc.Inputs.JobPlacementArgs
        {
            ClusterName = mycluster.Name,
        },
        PysparkConfig = new Gcp.Dataproc.Inputs.JobPysparkConfigArgs
        {
            MainPythonFileUri = "gs://dataproc-examples-2f10d78d114f6aaec76462e3c310f31f/src/pyspark/hello-world/hello-world.py",
            Properties = 
            {
                { "spark.logConf", "true" },
            },
        },
    });

    return new Dictionary<string, object?>
    {
        ["sparkStatus"] = spark.Statuses.Apply(statuses => statuses[0].State),
        ["pysparkStatus"] = pyspark.Statuses.Apply(statuses => statuses[0].State),
    };
});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.dataproc.Cluster;
import com.pulumi.gcp.dataproc.ClusterArgs;
import com.pulumi.gcp.dataproc.Job;
import com.pulumi.gcp.dataproc.JobArgs;
import com.pulumi.gcp.dataproc.inputs.JobPlacementArgs;
import com.pulumi.gcp.dataproc.inputs.JobSparkConfigArgs;
import com.pulumi.gcp.dataproc.inputs.JobSparkConfigLoggingConfigArgs;
import com.pulumi.gcp.dataproc.inputs.JobPysparkConfigArgs;
import java.util.List;
import java.util.ArrayList;
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 mycluster = new Cluster("mycluster", ClusterArgs.builder()        
            .name("dproc-cluster-unique-name")
            .region("us-central1")
            .build());

        // Submit an example spark job to a dataproc cluster
        var spark = new Job("spark", JobArgs.builder()        
            .region(mycluster.region())
            .forceDelete(true)
            .placement(JobPlacementArgs.builder()
                .clusterName(mycluster.name())
                .build())
            .sparkConfig(JobSparkConfigArgs.builder()
                .mainClass("org.apache.spark.examples.SparkPi")
                .jarFileUris("file:///usr/lib/spark/examples/jars/spark-examples.jar")
                .args("1000")
                .properties(Map.of("spark.logConf", "true"))
                .loggingConfig(JobSparkConfigLoggingConfigArgs.builder()
                    .driverLogLevels(Map.of("root", "INFO"))
                    .build())
                .build())
            .build());

        // Submit an example pyspark job to a dataproc cluster
        var pyspark = new Job("pyspark", JobArgs.builder()        
            .region(mycluster.region())
            .forceDelete(true)
            .placement(JobPlacementArgs.builder()
                .clusterName(mycluster.name())
                .build())
            .pysparkConfig(JobPysparkConfigArgs.builder()
                .mainPythonFileUri("gs://dataproc-examples-2f10d78d114f6aaec76462e3c310f31f/src/pyspark/hello-world/hello-world.py")
                .properties(Map.of("spark.logConf", "true"))
                .build())
            .build());

        ctx.export("sparkStatus", spark.statuses().applyValue(statuses -> statuses[0].state()));
        ctx.export("pysparkStatus", pyspark.statuses().applyValue(statuses -> statuses[0].state()));
    }
}

resources:
  mycluster:
    type: gcp:dataproc:Cluster
    properties:
      name: dproc-cluster-unique-name
      region: us-central1
  # Submit an example spark job to a dataproc cluster
  spark:
    type: gcp:dataproc:Job
    properties:
      region: ${mycluster.region}
      forceDelete: true
      placement:
        clusterName: ${mycluster.name}
      sparkConfig:
        mainClass: org.apache.spark.examples.SparkPi
        jarFileUris:
          - file:///usr/lib/spark/examples/jars/spark-examples.jar
        args:
          - '1000'
        properties:
          spark.logConf: 'true'
        loggingConfig:
          driverLogLevels:
            root: INFO
  # Submit an example pyspark job to a dataproc cluster
  pyspark:
    type: gcp:dataproc:Job
    properties:
      region: ${mycluster.region}
      forceDelete: true
      placement:
        clusterName: ${mycluster.name}
      pysparkConfig:
        mainPythonFileUri: gs://dataproc-examples-2f10d78d114f6aaec76462e3c310f31f/src/pyspark/hello-world/hello-world.py
        properties:
          spark.logConf: 'true'
outputs:
  # Check out current state of the jobs
  sparkStatus: ${spark.statuses[0].state}
  pysparkStatus: ${pyspark.statuses[0].state}

Create Job Resource

Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

Constructor syntax

new Job(name: string, args: JobArgs, opts?: CustomResourceOptions);

@overload
def Job(resource_name: str,
        args: JobArgs,
        opts: Optional[ResourceOptions] = None)

@overload
def Job(resource_name: str,
        opts: Optional[ResourceOptions] = None,
        placement: Optional[JobPlacementArgs] = None,
        presto_config: Optional[JobPrestoConfigArgs] = None,
        hive_config: Optional[JobHiveConfigArgs] = None,
        labels: Optional[Mapping[str, str]] = None,
        pig_config: Optional[JobPigConfigArgs] = None,
        hadoop_config: Optional[JobHadoopConfigArgs] = None,
        force_delete: Optional[bool] = None,
        project: Optional[str] = None,
        pyspark_config: Optional[JobPysparkConfigArgs] = None,
        reference: Optional[JobReferenceArgs] = None,
        region: Optional[str] = None,
        scheduling: Optional[JobSchedulingArgs] = None,
        spark_config: Optional[JobSparkConfigArgs] = None,
        sparksql_config: Optional[JobSparksqlConfigArgs] = None)

func NewJob(ctx *Context, name string, args JobArgs, opts ...ResourceOption) (*Job, error)

public Job(string name, JobArgs args, CustomResourceOptions? opts = null)

public Job(String name, JobArgs args)
public Job(String name, JobArgs args, CustomResourceOptions options)

type: gcp:dataproc:Job
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

Parameters

name string: The unique name of the resource.
args JobArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

resource_name str: The unique name of the resource.
args JobArgs: The arguments to resource properties.
opts ResourceOptions: Bag of options to control resource's behavior.

ctx Context: Context object for the current deployment.
name string: The unique name of the resource.
args JobArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args JobArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args JobArgs: The arguments to resource properties.
options CustomResourceOptions: Bag of options to control resource's behavior.

Example

The following reference example uses placeholder values for all input properties.

var examplejobResourceResourceFromDataprocjob = new Gcp.Dataproc.Job("examplejobResourceResourceFromDataprocjob", new()
{
    Placement = new Gcp.Dataproc.Inputs.JobPlacementArgs
    {
        ClusterName = "string",
        ClusterUuid = "string",
    },
    PrestoConfig = new Gcp.Dataproc.Inputs.JobPrestoConfigArgs
    {
        ClientTags = new[]
        {
            "string",
        },
        ContinueOnFailure = false,
        LoggingConfig = new Gcp.Dataproc.Inputs.JobPrestoConfigLoggingConfigArgs
        {
            DriverLogLevels = 
            {
                { "string", "string" },
            },
        },
        OutputFormat = "string",
        Properties = 
        {
            { "string", "string" },
        },
        QueryFileUri = "string",
        QueryLists = new[]
        {
            "string",
        },
    },
    HiveConfig = new Gcp.Dataproc.Inputs.JobHiveConfigArgs
    {
        ContinueOnFailure = false,
        JarFileUris = new[]
        {
            "string",
        },
        Properties = 
        {
            { "string", "string" },
        },
        QueryFileUri = "string",
        QueryLists = new[]
        {
            "string",
        },
        ScriptVariables = 
        {
            { "string", "string" },
        },
    },
    Labels = 
    {
        { "string", "string" },
    },
    PigConfig = new Gcp.Dataproc.Inputs.JobPigConfigArgs
    {
        ContinueOnFailure = false,
        JarFileUris = new[]
        {
            "string",
        },
        LoggingConfig = new Gcp.Dataproc.Inputs.JobPigConfigLoggingConfigArgs
        {
            DriverLogLevels = 
            {
                { "string", "string" },
            },
        },
        Properties = 
        {
            { "string", "string" },
        },
        QueryFileUri = "string",
        QueryLists = new[]
        {
            "string",
        },
        ScriptVariables = 
        {
            { "string", "string" },
        },
    },
    HadoopConfig = new Gcp.Dataproc.Inputs.JobHadoopConfigArgs
    {
        ArchiveUris = new[]
        {
            "string",
        },
        Args = new[]
        {
            "string",
        },
        FileUris = new[]
        {
            "string",
        },
        JarFileUris = new[]
        {
            "string",
        },
        LoggingConfig = new Gcp.Dataproc.Inputs.JobHadoopConfigLoggingConfigArgs
        {
            DriverLogLevels = 
            {
                { "string", "string" },
            },
        },
        MainClass = "string",
        MainJarFileUri = "string",
        Properties = 
        {
            { "string", "string" },
        },
    },
    ForceDelete = false,
    Project = "string",
    PysparkConfig = new Gcp.Dataproc.Inputs.JobPysparkConfigArgs
    {
        MainPythonFileUri = "string",
        ArchiveUris = new[]
        {
            "string",
        },
        Args = new[]
        {
            "string",
        },
        FileUris = new[]
        {
            "string",
        },
        JarFileUris = new[]
        {
            "string",
        },
        LoggingConfig = new Gcp.Dataproc.Inputs.JobPysparkConfigLoggingConfigArgs
        {
            DriverLogLevels = 
            {
                { "string", "string" },
            },
        },
        Properties = 
        {
            { "string", "string" },
        },
        PythonFileUris = new[]
        {
            "string",
        },
    },
    Reference = new Gcp.Dataproc.Inputs.JobReferenceArgs
    {
        JobId = "string",
    },
    Region = "string",
    Scheduling = new Gcp.Dataproc.Inputs.JobSchedulingArgs
    {
        MaxFailuresPerHour = 0,
        MaxFailuresTotal = 0,
    },
    SparkConfig = new Gcp.Dataproc.Inputs.JobSparkConfigArgs
    {
        ArchiveUris = new[]
        {
            "string",
        },
        Args = new[]
        {
            "string",
        },
        FileUris = new[]
        {
            "string",
        },
        JarFileUris = new[]
        {
            "string",
        },
        LoggingConfig = new Gcp.Dataproc.Inputs.JobSparkConfigLoggingConfigArgs
        {
            DriverLogLevels = 
            {
                { "string", "string" },
            },
        },
        MainClass = "string",
        MainJarFileUri = "string",
        Properties = 
        {
            { "string", "string" },
        },
    },
    SparksqlConfig = new Gcp.Dataproc.Inputs.JobSparksqlConfigArgs
    {
        JarFileUris = new[]
        {
            "string",
        },
        LoggingConfig = new Gcp.Dataproc.Inputs.JobSparksqlConfigLoggingConfigArgs
        {
            DriverLogLevels = 
            {
                { "string", "string" },
            },
        },
        Properties = 
        {
            { "string", "string" },
        },
        QueryFileUri = "string",
        QueryLists = new[]
        {
            "string",
        },
        ScriptVariables = 
        {
            { "string", "string" },
        },
    },
});

example, err := dataproc.NewJob(ctx, "examplejobResourceResourceFromDataprocjob", &dataproc.JobArgs{
	Placement: &dataproc.JobPlacementArgs{
		ClusterName: pulumi.String("string"),
		ClusterUuid: pulumi.String("string"),
	},
	PrestoConfig: &dataproc.JobPrestoConfigArgs{
		ClientTags: pulumi.StringArray{
			pulumi.String("string"),
		},
		ContinueOnFailure: pulumi.Bool(false),
		LoggingConfig: &dataproc.JobPrestoConfigLoggingConfigArgs{
			DriverLogLevels: pulumi.StringMap{
				"string": pulumi.String("string"),
			},
		},
		OutputFormat: pulumi.String("string"),
		Properties: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
		QueryFileUri: pulumi.String("string"),
		QueryLists: pulumi.StringArray{
			pulumi.String("string"),
		},
	},
	HiveConfig: &dataproc.JobHiveConfigArgs{
		ContinueOnFailure: pulumi.Bool(false),
		JarFileUris: pulumi.StringArray{
			pulumi.String("string"),
		},
		Properties: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
		QueryFileUri: pulumi.String("string"),
		QueryLists: pulumi.StringArray{
			pulumi.String("string"),
		},
		ScriptVariables: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
	},
	Labels: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	PigConfig: &dataproc.JobPigConfigArgs{
		ContinueOnFailure: pulumi.Bool(false),
		JarFileUris: pulumi.StringArray{
			pulumi.String("string"),
		},
		LoggingConfig: &dataproc.JobPigConfigLoggingConfigArgs{
			DriverLogLevels: pulumi.StringMap{
				"string": pulumi.String("string"),
			},
		},
		Properties: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
		QueryFileUri: pulumi.String("string"),
		QueryLists: pulumi.StringArray{
			pulumi.String("string"),
		},
		ScriptVariables: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
	},
	HadoopConfig: &dataproc.JobHadoopConfigArgs{
		ArchiveUris: pulumi.StringArray{
			pulumi.String("string"),
		},
		Args: pulumi.StringArray{
			pulumi.String("string"),
		},
		FileUris: pulumi.StringArray{
			pulumi.String("string"),
		},
		JarFileUris: pulumi.StringArray{
			pulumi.String("string"),
		},
		LoggingConfig: &dataproc.JobHadoopConfigLoggingConfigArgs{
			DriverLogLevels: pulumi.StringMap{
				"string": pulumi.String("string"),
			},
		},
		MainClass:      pulumi.String("string"),
		MainJarFileUri: pulumi.String("string"),
		Properties: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
	},
	ForceDelete: pulumi.Bool(false),
	Project:     pulumi.String("string"),
	PysparkConfig: &dataproc.JobPysparkConfigArgs{
		MainPythonFileUri: pulumi.String("string"),
		ArchiveUris: pulumi.StringArray{
			pulumi.String("string"),
		},
		Args: pulumi.StringArray{
			pulumi.String("string"),
		},
		FileUris: pulumi.StringArray{
			pulumi.String("string"),
		},
		JarFileUris: pulumi.StringArray{
			pulumi.String("string"),
		},
		LoggingConfig: &dataproc.JobPysparkConfigLoggingConfigArgs{
			DriverLogLevels: pulumi.StringMap{
				"string": pulumi.String("string"),
			},
		},
		Properties: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
		PythonFileUris: pulumi.StringArray{
			pulumi.String("string"),
		},
	},
	Reference: &dataproc.JobReferenceArgs{
		JobId: pulumi.String("string"),
	},
	Region: pulumi.String("string"),
	Scheduling: &dataproc.JobSchedulingArgs{
		MaxFailuresPerHour: pulumi.Int(0),
		MaxFailuresTotal:   pulumi.Int(0),
	},
	SparkConfig: &dataproc.JobSparkConfigArgs{
		ArchiveUris: pulumi.StringArray{
			pulumi.String("string"),
		},
		Args: pulumi.StringArray{
			pulumi.String("string"),
		},
		FileUris: pulumi.StringArray{
			pulumi.String("string"),
		},
		JarFileUris: pulumi.StringArray{
			pulumi.String("string"),
		},
		LoggingConfig: &dataproc.JobSparkConfigLoggingConfigArgs{
			DriverLogLevels: pulumi.StringMap{
				"string": pulumi.String("string"),
			},
		},
		MainClass:      pulumi.String("string"),
		MainJarFileUri: pulumi.String("string"),
		Properties: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
	},
	SparksqlConfig: &dataproc.JobSparksqlConfigArgs{
		JarFileUris: pulumi.StringArray{
			pulumi.String("string"),
		},
		LoggingConfig: &dataproc.JobSparksqlConfigLoggingConfigArgs{
			DriverLogLevels: pulumi.StringMap{
				"string": pulumi.String("string"),
			},
		},
		Properties: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
		QueryFileUri: pulumi.String("string"),
		QueryLists: pulumi.StringArray{
			pulumi.String("string"),
		},
		ScriptVariables: pulumi.StringMap{
			"string": pulumi.String("string"),
		},
	},
})

var examplejobResourceResourceFromDataprocjob = new Job("examplejobResourceResourceFromDataprocjob", JobArgs.builder()        
    .placement(JobPlacementArgs.builder()
        .clusterName("string")
        .clusterUuid("string")
        .build())
    .prestoConfig(JobPrestoConfigArgs.builder()
        .clientTags("string")
        .continueOnFailure(false)
        .loggingConfig(JobPrestoConfigLoggingConfigArgs.builder()
            .driverLogLevels(Map.of("string", "string"))
            .build())
        .outputFormat("string")
        .properties(Map.of("string", "string"))
        .queryFileUri("string")
        .queryLists("string")
        .build())
    .hiveConfig(JobHiveConfigArgs.builder()
        .continueOnFailure(false)
        .jarFileUris("string")
        .properties(Map.of("string", "string"))
        .queryFileUri("string")
        .queryLists("string")
        .scriptVariables(Map.of("string", "string"))
        .build())
    .labels(Map.of("string", "string"))
    .pigConfig(JobPigConfigArgs.builder()
        .continueOnFailure(false)
        .jarFileUris("string")
        .loggingConfig(JobPigConfigLoggingConfigArgs.builder()
            .driverLogLevels(Map.of("string", "string"))
            .build())
        .properties(Map.of("string", "string"))
        .queryFileUri("string")
        .queryLists("string")
        .scriptVariables(Map.of("string", "string"))
        .build())
    .hadoopConfig(JobHadoopConfigArgs.builder()
        .archiveUris("string")
        .args("string")
        .fileUris("string")
        .jarFileUris("string")
        .loggingConfig(JobHadoopConfigLoggingConfigArgs.builder()
            .driverLogLevels(Map.of("string", "string"))
            .build())
        .mainClass("string")
        .mainJarFileUri("string")
        .properties(Map.of("string", "string"))
        .build())
    .forceDelete(false)
    .project("string")
    .pysparkConfig(JobPysparkConfigArgs.builder()
        .mainPythonFileUri("string")
        .archiveUris("string")
        .args("string")
        .fileUris("string")
        .jarFileUris("string")
        .loggingConfig(JobPysparkConfigLoggingConfigArgs.builder()
            .driverLogLevels(Map.of("string", "string"))
            .build())
        .properties(Map.of("string", "string"))
        .pythonFileUris("string")
        .build())
    .reference(JobReferenceArgs.builder()
        .jobId("string")
        .build())
    .region("string")
    .scheduling(JobSchedulingArgs.builder()
        .maxFailuresPerHour(0)
        .maxFailuresTotal(0)
        .build())
    .sparkConfig(JobSparkConfigArgs.builder()
        .archiveUris("string")
        .args("string")
        .fileUris("string")
        .jarFileUris("string")
        .loggingConfig(JobSparkConfigLoggingConfigArgs.builder()
            .driverLogLevels(Map.of("string", "string"))
            .build())
        .mainClass("string")
        .mainJarFileUri("string")
        .properties(Map.of("string", "string"))
        .build())
    .sparksqlConfig(JobSparksqlConfigArgs.builder()
        .jarFileUris("string")
        .loggingConfig(JobSparksqlConfigLoggingConfigArgs.builder()
            .driverLogLevels(Map.of("string", "string"))
            .build())
        .properties(Map.of("string", "string"))
        .queryFileUri("string")
        .queryLists("string")
        .scriptVariables(Map.of("string", "string"))
        .build())
    .build());

examplejob_resource_resource_from_dataprocjob = gcp.dataproc.Job("examplejobResourceResourceFromDataprocjob",
    placement=gcp.dataproc.JobPlacementArgs(
        cluster_name="string",
        cluster_uuid="string",
    ),
    presto_config=gcp.dataproc.JobPrestoConfigArgs(
        client_tags=["string"],
        continue_on_failure=False,
        logging_config=gcp.dataproc.JobPrestoConfigLoggingConfigArgs(
            driver_log_levels={
                "string": "string",
            },
        ),
        output_format="string",
        properties={
            "string": "string",
        },
        query_file_uri="string",
        query_lists=["string"],
    ),
    hive_config=gcp.dataproc.JobHiveConfigArgs(
        continue_on_failure=False,
        jar_file_uris=["string"],
        properties={
            "string": "string",
        },
        query_file_uri="string",
        query_lists=["string"],
        script_variables={
            "string": "string",
        },
    ),
    labels={
        "string": "string",
    },
    pig_config=gcp.dataproc.JobPigConfigArgs(
        continue_on_failure=False,
        jar_file_uris=["string"],
        logging_config=gcp.dataproc.JobPigConfigLoggingConfigArgs(
            driver_log_levels={
                "string": "string",
            },
        ),
        properties={
            "string": "string",
        },
        query_file_uri="string",
        query_lists=["string"],
        script_variables={
            "string": "string",
        },
    ),
    hadoop_config=gcp.dataproc.JobHadoopConfigArgs(
        archive_uris=["string"],
        args=["string"],
        file_uris=["string"],
        jar_file_uris=["string"],
        logging_config=gcp.dataproc.JobHadoopConfigLoggingConfigArgs(
            driver_log_levels={
                "string": "string",
            },
        ),
        main_class="string",
        main_jar_file_uri="string",
        properties={
            "string": "string",
        },
    ),
    force_delete=False,
    project="string",
    pyspark_config=gcp.dataproc.JobPysparkConfigArgs(
        main_python_file_uri="string",
        archive_uris=["string"],
        args=["string"],
        file_uris=["string"],
        jar_file_uris=["string"],
        logging_config=gcp.dataproc.JobPysparkConfigLoggingConfigArgs(
            driver_log_levels={
                "string": "string",
            },
        ),
        properties={
            "string": "string",
        },
        python_file_uris=["string"],
    ),
    reference=gcp.dataproc.JobReferenceArgs(
        job_id="string",
    ),
    region="string",
    scheduling=gcp.dataproc.JobSchedulingArgs(
        max_failures_per_hour=0,
        max_failures_total=0,
    ),
    spark_config=gcp.dataproc.JobSparkConfigArgs(
        archive_uris=["string"],
        args=["string"],
        file_uris=["string"],
        jar_file_uris=["string"],
        logging_config=gcp.dataproc.JobSparkConfigLoggingConfigArgs(
            driver_log_levels={
                "string": "string",
            },
        ),
        main_class="string",
        main_jar_file_uri="string",
        properties={
            "string": "string",
        },
    ),
    sparksql_config=gcp.dataproc.JobSparksqlConfigArgs(
        jar_file_uris=["string"],
        logging_config=gcp.dataproc.JobSparksqlConfigLoggingConfigArgs(
            driver_log_levels={
                "string": "string",
            },
        ),
        properties={
            "string": "string",
        },
        query_file_uri="string",
        query_lists=["string"],
        script_variables={
            "string": "string",
        },
    ))

const examplejobResourceResourceFromDataprocjob = new gcp.dataproc.Job("examplejobResourceResourceFromDataprocjob", {
    placement: {
        clusterName: "string",
        clusterUuid: "string",
    },
    prestoConfig: {
        clientTags: ["string"],
        continueOnFailure: false,
        loggingConfig: {
            driverLogLevels: {
                string: "string",
            },
        },
        outputFormat: "string",
        properties: {
            string: "string",
        },
        queryFileUri: "string",
        queryLists: ["string"],
    },
    hiveConfig: {
        continueOnFailure: false,
        jarFileUris: ["string"],
        properties: {
            string: "string",
        },
        queryFileUri: "string",
        queryLists: ["string"],
        scriptVariables: {
            string: "string",
        },
    },
    labels: {
        string: "string",
    },
    pigConfig: {
        continueOnFailure: false,
        jarFileUris: ["string"],
        loggingConfig: {
            driverLogLevels: {
                string: "string",
            },
        },
        properties: {
            string: "string",
        },
        queryFileUri: "string",
        queryLists: ["string"],
        scriptVariables: {
            string: "string",
        },
    },
    hadoopConfig: {
        archiveUris: ["string"],
        args: ["string"],
        fileUris: ["string"],
        jarFileUris: ["string"],
        loggingConfig: {
            driverLogLevels: {
                string: "string",
            },
        },
        mainClass: "string",
        mainJarFileUri: "string",
        properties: {
            string: "string",
        },
    },
    forceDelete: false,
    project: "string",
    pysparkConfig: {
        mainPythonFileUri: "string",
        archiveUris: ["string"],
        args: ["string"],
        fileUris: ["string"],
        jarFileUris: ["string"],
        loggingConfig: {
            driverLogLevels: {
                string: "string",
            },
        },
        properties: {
            string: "string",
        },
        pythonFileUris: ["string"],
    },
    reference: {
        jobId: "string",
    },
    region: "string",
    scheduling: {
        maxFailuresPerHour: 0,
        maxFailuresTotal: 0,
    },
    sparkConfig: {
        archiveUris: ["string"],
        args: ["string"],
        fileUris: ["string"],
        jarFileUris: ["string"],
        loggingConfig: {
            driverLogLevels: {
                string: "string",
            },
        },
        mainClass: "string",
        mainJarFileUri: "string",
        properties: {
            string: "string",
        },
    },
    sparksqlConfig: {
        jarFileUris: ["string"],
        loggingConfig: {
            driverLogLevels: {
                string: "string",
            },
        },
        properties: {
            string: "string",
        },
        queryFileUri: "string",
        queryLists: ["string"],
        scriptVariables: {
            string: "string",
        },
    },
});

type: gcp:dataproc:Job
properties:
    forceDelete: false
    hadoopConfig:
        archiveUris:
            - string
        args:
            - string
        fileUris:
            - string
        jarFileUris:
            - string
        loggingConfig:
            driverLogLevels:
                string: string
        mainClass: string
        mainJarFileUri: string
        properties:
            string: string
    hiveConfig:
        continueOnFailure: false
        jarFileUris:
            - string
        properties:
            string: string
        queryFileUri: string
        queryLists:
            - string
        scriptVariables:
            string: string
    labels:
        string: string
    pigConfig:
        continueOnFailure: false
        jarFileUris:
            - string
        loggingConfig:
            driverLogLevels:
                string: string
        properties:
            string: string
        queryFileUri: string
        queryLists:
            - string
        scriptVariables:
            string: string
    placement:
        clusterName: string
        clusterUuid: string
    prestoConfig:
        clientTags:
            - string
        continueOnFailure: false
        loggingConfig:
            driverLogLevels:
                string: string
        outputFormat: string
        properties:
            string: string
        queryFileUri: string
        queryLists:
            - string
    project: string
    pysparkConfig:
        archiveUris:
            - string
        args:
            - string
        fileUris:
            - string
        jarFileUris:
            - string
        loggingConfig:
            driverLogLevels:
                string: string
        mainPythonFileUri: string
        properties:
            string: string
        pythonFileUris:
            - string
    reference:
        jobId: string
    region: string
    scheduling:
        maxFailuresPerHour: 0
        maxFailuresTotal: 0
    sparkConfig:
        archiveUris:
            - string
        args:
            - string
        fileUris:
            - string
        jarFileUris:
            - string
        loggingConfig:
            driverLogLevels:
                string: string
        mainClass: string
        mainJarFileUri: string
        properties:
            string: string
    sparksqlConfig:
        jarFileUris:
            - string
        loggingConfig:
            driverLogLevels:
                string: string
        properties:
            string: string
        queryFileUri: string
        queryLists:
            - string
        scriptVariables:
            string: string

Job Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

The Job resource accepts the following input properties:

Placement JobPlacement: The config of job placement.
ForceDelete bool: By default, you can only delete inactive jobs within Dataproc. Setting this to true, and calling destroy, will ensure that the job is first cancelled before issuing the delete.
HadoopConfig JobHadoopConfig: The config of Hadoop job
HiveConfig JobHiveConfig: The config of hive job
Labels Dictionary<string, string>: The list of labels (key/value pairs) to add to the job. Note: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field 'effective_labels' for all of the labels present on the resource.
PigConfig JobPigConfig: The config of pag job.
PrestoConfig JobPrestoConfig: The config of presto job
Project string: The project in which the cluster can be found and jobs subsequently run against. If it is not provided, the provider project is used.
PysparkConfig JobPysparkConfig: The config of pySpark job.
Reference JobReference: The reference of the job
Region string: The Cloud Dataproc region. This essentially determines which clusters are available for this job to be submitted to. If not specified, defaults to global.
Scheduling JobScheduling: Optional. Job scheduling configuration.
SparkConfig JobSparkConfig: The config of the Spark job.
SparksqlConfig JobSparksqlConfig: The config of SparkSql job

Placement JobPlacementArgs: The config of job placement.
ForceDelete bool: By default, you can only delete inactive jobs within Dataproc. Setting this to true, and calling destroy, will ensure that the job is first cancelled before issuing the delete.
HadoopConfig JobHadoopConfigArgs: The config of Hadoop job
HiveConfig JobHiveConfigArgs: The config of hive job
Labels map[string]string: The list of labels (key/value pairs) to add to the job. Note: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field 'effective_labels' for all of the labels present on the resource.
PigConfig JobPigConfigArgs: The config of pag job.
PrestoConfig JobPrestoConfigArgs: The config of presto job
Project string: The project in which the cluster can be found and jobs subsequently run against. If it is not provided, the provider project is used.
PysparkConfig JobPysparkConfigArgs: The config of pySpark job.
Reference JobReferenceArgs: The reference of the job
Region string: The Cloud Dataproc region. This essentially determines which clusters are available for this job to be submitted to. If not specified, defaults to global.
Scheduling JobSchedulingArgs: Optional. Job scheduling configuration.
SparkConfig JobSparkConfigArgs: The config of the Spark job.
SparksqlConfig JobSparksqlConfigArgs: The config of SparkSql job

placement JobPlacement: The config of job placement.
forceDelete Boolean: By default, you can only delete inactive jobs within Dataproc. Setting this to true, and calling destroy, will ensure that the job is first cancelled before issuing the delete.
hadoopConfig JobHadoopConfig: The config of Hadoop job
hiveConfig JobHiveConfig: The config of hive job
labels Map<String,String>: The list of labels (key/value pairs) to add to the job. Note: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field 'effective_labels' for all of the labels present on the resource.
pigConfig JobPigConfig: The config of pag job.
prestoConfig JobPrestoConfig: The config of presto job
project String: The project in which the cluster can be found and jobs subsequently run against. If it is not provided, the provider project is used.
pysparkConfig JobPysparkConfig: The config of pySpark job.
reference JobReference: The reference of the job
region String: The Cloud Dataproc region. This essentially determines which clusters are available for this job to be submitted to. If not specified, defaults to global.
scheduling JobScheduling: Optional. Job scheduling configuration.
sparkConfig JobSparkConfig: The config of the Spark job.
sparksqlConfig JobSparksqlConfig: The config of SparkSql job

placement JobPlacement: The config of job placement.
forceDelete boolean: By default, you can only delete inactive jobs within Dataproc. Setting this to true, and calling destroy, will ensure that the job is first cancelled before issuing the delete.
hadoopConfig JobHadoopConfig: The config of Hadoop job
hiveConfig JobHiveConfig: The config of hive job
labels {[key: string]: string}: The list of labels (key/value pairs) to add to the job. Note: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field 'effective_labels' for all of the labels present on the resource.
pigConfig JobPigConfig: The config of pag job.
prestoConfig JobPrestoConfig: The config of presto job
project string: The project in which the cluster can be found and jobs subsequently run against. If it is not provided, the provider project is used.
pysparkConfig JobPysparkConfig: The config of pySpark job.
reference JobReference: The reference of the job
region string: The Cloud Dataproc region. This essentially determines which clusters are available for this job to be submitted to. If not specified, defaults to global.
scheduling JobScheduling: Optional. Job scheduling configuration.
sparkConfig JobSparkConfig: The config of the Spark job.
sparksqlConfig JobSparksqlConfig: The config of SparkSql job

placement JobPlacementArgs: The config of job placement.
force_delete bool: By default, you can only delete inactive jobs within Dataproc. Setting this to true, and calling destroy, will ensure that the job is first cancelled before issuing the delete.
hadoop_config JobHadoopConfigArgs: The config of Hadoop job
hive_config JobHiveConfigArgs: The config of hive job
labels Mapping[str, str]: The list of labels (key/value pairs) to add to the job. Note: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field 'effective_labels' for all of the labels present on the resource.
pig_config JobPigConfigArgs: The config of pag job.
presto_config JobPrestoConfigArgs: The config of presto job
project str: The project in which the cluster can be found and jobs subsequently run against. If it is not provided, the provider project is used.
pyspark_config JobPysparkConfigArgs: The config of pySpark job.
reference JobReferenceArgs: The reference of the job
region str: The Cloud Dataproc region. This essentially determines which clusters are available for this job to be submitted to. If not specified, defaults to global.
scheduling JobSchedulingArgs: Optional. Job scheduling configuration.
spark_config JobSparkConfigArgs: The config of the Spark job.
sparksql_config JobSparksqlConfigArgs: The config of SparkSql job

placement Property Map: The config of job placement.
forceDelete Boolean: By default, you can only delete inactive jobs within Dataproc. Setting this to true, and calling destroy, will ensure that the job is first cancelled before issuing the delete.
hadoopConfig Property Map: The config of Hadoop job
hiveConfig Property Map: The config of hive job
labels Map<String>: The list of labels (key/value pairs) to add to the job. Note: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field 'effective_labels' for all of the labels present on the resource.
pigConfig Property Map: The config of pag job.
prestoConfig Property Map: The config of presto job
project String: The project in which the cluster can be found and jobs subsequently run against. If it is not provided, the provider project is used.
pysparkConfig Property Map: The config of pySpark job.
reference Property Map: The reference of the job
region String: The Cloud Dataproc region. This essentially determines which clusters are available for this job to be submitted to. If not specified, defaults to global.
scheduling Property Map: Optional. Job scheduling configuration.
sparkConfig Property Map: The config of the Spark job.
sparksqlConfig Property Map: The config of SparkSql job

Outputs

All input properties are implicitly available as output properties. Additionally, the Job resource produces the following output properties:

DriverControlsFilesUri string

If present, the location of miscellaneous control files which may be used as part of job setup and handling. If not present, control files may be placed in the same location as driver_output_uri.

DriverOutputResourceUri string

A URI pointing to the location of the stdout of the job's driver program.

EffectiveLabels Dictionary<string, string>

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

scheduling.max_failures_per_hour - (Required) Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
scheduling.max_failures_total - (Required) Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

Id string

The provider-assigned unique ID for this managed resource.

PulumiLabels Dictionary<string, string>

The combination of labels configured directly on the resource and default labels configured on the provider.

Statuses List<JobStatus>

The status of the job.

DriverControlsFilesUri string

If present, the location of miscellaneous control files which may be used as part of job setup and handling. If not present, control files may be placed in the same location as driver_output_uri.

DriverOutputResourceUri string

A URI pointing to the location of the stdout of the job's driver program.

EffectiveLabels 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.

scheduling.max_failures_per_hour - (Required) Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
scheduling.max_failures_total - (Required) Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

Id string

The provider-assigned unique ID for this managed resource.

PulumiLabels map[string]string

The combination of labels configured directly on the resource and default labels configured on the provider.

Statuses []JobStatus

The status of the job.

driverControlsFilesUri String

If present, the location of miscellaneous control files which may be used as part of job setup and handling. If not present, control files may be placed in the same location as driver_output_uri.

driverOutputResourceUri String

A URI pointing to the location of the stdout of the job's driver program.

effectiveLabels 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.

scheduling.max_failures_per_hour - (Required) Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
scheduling.max_failures_total - (Required) Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

id String

The provider-assigned unique ID for this managed resource.

pulumiLabels Map<String,String>

The combination of labels configured directly on the resource and default labels configured on the provider.

statuses List<JobStatus>

The status of the job.

driverControlsFilesUri string

If present, the location of miscellaneous control files which may be used as part of job setup and handling. If not present, control files may be placed in the same location as driver_output_uri.

driverOutputResourceUri string

A URI pointing to the location of the stdout of the job's driver program.

effectiveLabels {[key: string]: string}

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

scheduling.max_failures_per_hour - (Required) Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
scheduling.max_failures_total - (Required) Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

id string

The provider-assigned unique ID for this managed resource.

pulumiLabels {[key: string]: string}

The combination of labels configured directly on the resource and default labels configured on the provider.

statuses JobStatus[]

The status of the job.

driver_controls_files_uri str

If present, the location of miscellaneous control files which may be used as part of job setup and handling. If not present, control files may be placed in the same location as driver_output_uri.

driver_output_resource_uri str

A URI pointing to the location of the stdout of the job's driver program.

effective_labels Mapping[str, str]

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

scheduling.max_failures_per_hour - (Required) Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
scheduling.max_failures_total - (Required) Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

id str

The provider-assigned unique ID for this managed resource.

pulumi_labels Mapping[str, str]

The combination of labels configured directly on the resource and default labels configured on the provider.

statuses Sequence[JobStatus]

The status of the job.

driverControlsFilesUri String

If present, the location of miscellaneous control files which may be used as part of job setup and handling. If not present, control files may be placed in the same location as driver_output_uri.

driverOutputResourceUri String

A URI pointing to the location of the stdout of the job's driver program.

effectiveLabels Map<String>

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

scheduling.max_failures_per_hour - (Required) Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
scheduling.max_failures_total - (Required) Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

id String

The provider-assigned unique ID for this managed resource.

pulumiLabels Map<String>

The combination of labels configured directly on the resource and default labels configured on the provider.

statuses List<Property Map>

The status of the job.

Look up Existing Job Resource

Get an existing Job resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

public static get(name: string, id: Input<ID>, state?: JobState, opts?: CustomResourceOptions): Job

@staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        driver_controls_files_uri: Optional[str] = None,
        driver_output_resource_uri: Optional[str] = None,
        effective_labels: Optional[Mapping[str, str]] = None,
        force_delete: Optional[bool] = None,
        hadoop_config: Optional[JobHadoopConfigArgs] = None,
        hive_config: Optional[JobHiveConfigArgs] = None,
        labels: Optional[Mapping[str, str]] = None,
        pig_config: Optional[JobPigConfigArgs] = None,
        placement: Optional[JobPlacementArgs] = None,
        presto_config: Optional[JobPrestoConfigArgs] = None,
        project: Optional[str] = None,
        pulumi_labels: Optional[Mapping[str, str]] = None,
        pyspark_config: Optional[JobPysparkConfigArgs] = None,
        reference: Optional[JobReferenceArgs] = None,
        region: Optional[str] = None,
        scheduling: Optional[JobSchedulingArgs] = None,
        spark_config: Optional[JobSparkConfigArgs] = None,
        sparksql_config: Optional[JobSparksqlConfigArgs] = None,
        statuses: Optional[Sequence[JobStatusArgs]] = None) -> Job

func GetJob(ctx *Context, name string, id IDInput, state *JobState, opts ...ResourceOption) (*Job, error)

public static Job Get(string name, Input<string> id, JobState? state, CustomResourceOptions? opts = null)

public static Job get(String name, Output<String> id, JobState state, CustomResourceOptions options)

Resource lookup is not supported in YAML

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

resource_name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

The following state arguments are supported:

DriverControlsFilesUri string

If present, the location of miscellaneous control files which may be used as part of job setup and handling. If not present, control files may be placed in the same location as driver_output_uri.

DriverOutputResourceUri string

A URI pointing to the location of the stdout of the job's driver program.

EffectiveLabels Dictionary<string, string>

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

scheduling.max_failures_per_hour - (Required) Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
scheduling.max_failures_total - (Required) Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

ForceDelete bool

By default, you can only delete inactive jobs within Dataproc. Setting this to true, and calling destroy, will ensure that the job is first cancelled before issuing the delete.

HadoopConfig JobHadoopConfig

The config of Hadoop job

HiveConfig JobHiveConfig

The config of hive job

Labels Dictionary<string, string>

The list of labels (key/value pairs) to add to the job. Note: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer to the field 'effective_labels' for all of the labels present on the resource.

PigConfig JobPigConfig

The config of pag job.

Placement JobPlacement

The config of job placement.

PrestoConfig JobPrestoConfig

The config of presto job

Project string

The project in which the cluster can be found and jobs subsequently run against. If it is not provided, the provider project is used.

PulumiLabels Dictionary<string, string>

The combination of labels configured directly on the resource and default labels configured on the provider.

PysparkConfig JobPysparkConfig

The config of pySpark job.

Reference JobReference

The reference of the job

Region string

The Cloud Dataproc region. This essentially determines which clusters are available for this job to be submitted to. If not specified, defaults to global.

Scheduling JobScheduling

Optional. Job scheduling configuration.

SparkConfig JobSparkConfig

The config of the Spark job.

SparksqlConfig JobSparksqlConfig

The config of SparkSql job

Statuses List<JobStatus>

The status of the job.

DriverControlsFilesUri string

If present, the location of miscellaneous control files which may be used as part of job setup and handling. If not present, control files may be placed in the same location as driver_output_uri.

DriverOutputResourceUri string

A URI pointing to the location of the stdout of the job's driver program.

EffectiveLabels 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.

scheduling.max_failures_per_hour - (Required) Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
scheduling.max_failures_total - (Required) Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

ForceDelete bool

By default, you can only delete inactive jobs within Dataproc. Setting this to true, and calling destroy, will ensure that the job is first cancelled before issuing the delete.

HadoopConfig JobHadoopConfigArgs

The config of Hadoop job

HiveConfig JobHiveConfigArgs

The config of hive job

Labels map[string]string

PigConfig JobPigConfigArgs

The config of pag job.

Placement JobPlacementArgs

The config of job placement.

PrestoConfig JobPrestoConfigArgs

The config of presto job

Project string

The project in which the cluster can be found and jobs subsequently run against. If it is not provided, the provider project is used.

PulumiLabels map[string]string

The combination of labels configured directly on the resource and default labels configured on the provider.

PysparkConfig JobPysparkConfigArgs

The config of pySpark job.

Reference JobReferenceArgs

The reference of the job

Region string

The Cloud Dataproc region. This essentially determines which clusters are available for this job to be submitted to. If not specified, defaults to global.

Scheduling JobSchedulingArgs

Optional. Job scheduling configuration.

SparkConfig JobSparkConfigArgs

The config of the Spark job.

SparksqlConfig JobSparksqlConfigArgs

The config of SparkSql job

Statuses []JobStatusArgs

The status of the job.

driverControlsFilesUri String

If present, the location of miscellaneous control files which may be used as part of job setup and handling. If not present, control files may be placed in the same location as driver_output_uri.

driverOutputResourceUri String

A URI pointing to the location of the stdout of the job's driver program.

effectiveLabels 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.

scheduling.max_failures_per_hour - (Required) Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
scheduling.max_failures_total - (Required) Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

forceDelete Boolean

By default, you can only delete inactive jobs within Dataproc. Setting this to true, and calling destroy, will ensure that the job is first cancelled before issuing the delete.

hadoopConfig JobHadoopConfig

The config of Hadoop job

hiveConfig JobHiveConfig

The config of hive job

labels Map<String,String>

pigConfig JobPigConfig

The config of pag job.

placement JobPlacement

The config of job placement.

prestoConfig JobPrestoConfig

The config of presto job

project String

The project in which the cluster can be found and jobs subsequently run against. If it is not provided, the provider project is used.

pulumiLabels Map<String,String>

The combination of labels configured directly on the resource and default labels configured on the provider.

pysparkConfig JobPysparkConfig

The config of pySpark job.

reference JobReference

The reference of the job

region String

The Cloud Dataproc region. This essentially determines which clusters are available for this job to be submitted to. If not specified, defaults to global.

scheduling JobScheduling

Optional. Job scheduling configuration.

sparkConfig JobSparkConfig

The config of the Spark job.

sparksqlConfig JobSparksqlConfig

The config of SparkSql job

statuses List<JobStatus>

The status of the job.

driverControlsFilesUri string

If present, the location of miscellaneous control files which may be used as part of job setup and handling. If not present, control files may be placed in the same location as driver_output_uri.

driverOutputResourceUri string

A URI pointing to the location of the stdout of the job's driver program.

effectiveLabels {[key: string]: string}

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

scheduling.max_failures_per_hour - (Required) Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
scheduling.max_failures_total - (Required) Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

forceDelete boolean

By default, you can only delete inactive jobs within Dataproc. Setting this to true, and calling destroy, will ensure that the job is first cancelled before issuing the delete.

hadoopConfig JobHadoopConfig

The config of Hadoop job

hiveConfig JobHiveConfig

The config of hive job

labels {[key: string]: string}

pigConfig JobPigConfig

The config of pag job.

placement JobPlacement

The config of job placement.

prestoConfig JobPrestoConfig

The config of presto job

project string

The project in which the cluster can be found and jobs subsequently run against. If it is not provided, the provider project is used.

pulumiLabels {[key: string]: string}

The combination of labels configured directly on the resource and default labels configured on the provider.

pysparkConfig JobPysparkConfig

The config of pySpark job.

reference JobReference

The reference of the job

region string

The Cloud Dataproc region. This essentially determines which clusters are available for this job to be submitted to. If not specified, defaults to global.

scheduling JobScheduling

Optional. Job scheduling configuration.

sparkConfig JobSparkConfig

The config of the Spark job.

sparksqlConfig JobSparksqlConfig

The config of SparkSql job

statuses JobStatus[]

The status of the job.

driver_controls_files_uri str

If present, the location of miscellaneous control files which may be used as part of job setup and handling. If not present, control files may be placed in the same location as driver_output_uri.

driver_output_resource_uri str

A URI pointing to the location of the stdout of the job's driver program.

effective_labels Mapping[str, str]

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

scheduling.max_failures_per_hour - (Required) Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
scheduling.max_failures_total - (Required) Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

force_delete bool

By default, you can only delete inactive jobs within Dataproc. Setting this to true, and calling destroy, will ensure that the job is first cancelled before issuing the delete.

hadoop_config JobHadoopConfigArgs

The config of Hadoop job

hive_config JobHiveConfigArgs

The config of hive job

labels Mapping[str, str]

pig_config JobPigConfigArgs

The config of pag job.

placement JobPlacementArgs

The config of job placement.

presto_config JobPrestoConfigArgs

The config of presto job

project str

The project in which the cluster can be found and jobs subsequently run against. If it is not provided, the provider project is used.

pulumi_labels Mapping[str, str]

The combination of labels configured directly on the resource and default labels configured on the provider.

pyspark_config JobPysparkConfigArgs

The config of pySpark job.

reference JobReferenceArgs

The reference of the job

region str

The Cloud Dataproc region. This essentially determines which clusters are available for this job to be submitted to. If not specified, defaults to global.

scheduling JobSchedulingArgs

Optional. Job scheduling configuration.

spark_config JobSparkConfigArgs

The config of the Spark job.

sparksql_config JobSparksqlConfigArgs

The config of SparkSql job

statuses Sequence[JobStatusArgs]

The status of the job.

driverControlsFilesUri String

If present, the location of miscellaneous control files which may be used as part of job setup and handling. If not present, control files may be placed in the same location as driver_output_uri.

driverOutputResourceUri String

A URI pointing to the location of the stdout of the job's driver program.

effectiveLabels Map<String>

All of labels (key/value pairs) present on the resource in GCP, including the labels configured through Pulumi, other clients and services.

scheduling.max_failures_per_hour - (Required) Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
scheduling.max_failures_total - (Required) Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

forceDelete Boolean

By default, you can only delete inactive jobs within Dataproc. Setting this to true, and calling destroy, will ensure that the job is first cancelled before issuing the delete.

hadoopConfig Property Map

The config of Hadoop job

hiveConfig Property Map

The config of hive job

labels Map<String>

pigConfig Property Map

The config of pag job.

placement Property Map

The config of job placement.

prestoConfig Property Map

The config of presto job

project String

The project in which the cluster can be found and jobs subsequently run against. If it is not provided, the provider project is used.

pulumiLabels Map<String>

The combination of labels configured directly on the resource and default labels configured on the provider.

pysparkConfig Property Map

The config of pySpark job.

reference Property Map

The reference of the job

region String

The Cloud Dataproc region. This essentially determines which clusters are available for this job to be submitted to. If not specified, defaults to global.

scheduling Property Map

Optional. Job scheduling configuration.

sparkConfig Property Map

The config of the Spark job.

sparksqlConfig Property Map

The config of SparkSql job

statuses List<Property Map>

The status of the job.

Supporting Types

JobHadoopConfig, JobHadoopConfigArgs

ArchiveUris List<string>

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

Args List<string>

The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision may occur that causes an incorrect job submission.

FileUris List<string>

HCFS URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.

JarFileUris List<string>

HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

LoggingConfig JobHadoopConfigLoggingConfig

The runtime logging config of the job

MainClass string

The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris. Conflicts with main_jar_file_uri

MainJarFileUri string

The HCFS URI of the jar file containing the main class. Examples: 'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar' 'hdfs:/tmp/test-samples/custom-wordcount.jar' 'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'. Conflicts with main_class

Properties Dictionary<string, string>

A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site and classes in user code..

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

ArchiveUris []string

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

Args []string

The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision may occur that causes an incorrect job submission.

FileUris []string

HCFS URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.

JarFileUris []string

HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

LoggingConfig JobHadoopConfigLoggingConfig

The runtime logging config of the job

MainClass string

The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris. Conflicts with main_jar_file_uri

MainJarFileUri string

Properties map[string]string

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

archiveUris List<String>

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

args List<String>

The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision may occur that causes an incorrect job submission.

fileUris List<String>

HCFS URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.

jarFileUris List<String>

HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

loggingConfig JobHadoopConfigLoggingConfig

The runtime logging config of the job

mainClass String

The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris. Conflicts with main_jar_file_uri

mainJarFileUri String

properties Map<String,String>

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

archiveUris string[]

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

args string[]

The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision may occur that causes an incorrect job submission.

fileUris string[]

HCFS URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.

jarFileUris string[]

HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

loggingConfig JobHadoopConfigLoggingConfig

The runtime logging config of the job

mainClass string

The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris. Conflicts with main_jar_file_uri

mainJarFileUri string

properties {[key: string]: string}

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

archive_uris Sequence[str]

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

args Sequence[str]

The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision may occur that causes an incorrect job submission.

file_uris Sequence[str]

HCFS URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.

jar_file_uris Sequence[str]

HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

logging_config JobHadoopConfigLoggingConfig

The runtime logging config of the job

main_class str

The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris. Conflicts with main_jar_file_uri

main_jar_file_uri str

properties Mapping[str, str]

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

archiveUris List<String>

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

args List<String>

The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, that can be set as job properties, since a collision may occur that causes an incorrect job submission.

fileUris List<String>

HCFS URIs of files to be copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.

jarFileUris List<String>

HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

loggingConfig Property Map

The runtime logging config of the job

mainClass String

The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in jar_file_uris. Conflicts with main_jar_file_uri

mainJarFileUri String

properties Map<String>

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

JobHadoopConfigLoggingConfig, JobHadoopConfigLoggingConfigArgs

DriverLogLevels Dictionary<string, string>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

DriverLogLevels map[string]string: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels Map<String,String>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels {[key: string]: string}: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driver_log_levels Mapping[str, str]: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels Map<String>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

JobHiveConfig, JobHiveConfigArgs

ContinueOnFailure bool: Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries. Defaults to false.
JarFileUris List<string>: HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
Properties Dictionary<string, string>: A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code..
QueryFileUri string: HCFS URI of file containing Hive script to execute as the job. Conflicts with query_list
QueryLists List<string>: The list of Hive queries or statements to execute as part of the job. Conflicts with query_file_uri
ScriptVariables Dictionary<string, string>: Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).

ContinueOnFailure bool: Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries. Defaults to false.
JarFileUris []string: HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
Properties map[string]string: A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code..
QueryFileUri string: HCFS URI of file containing Hive script to execute as the job. Conflicts with query_list
QueryLists []string: The list of Hive queries or statements to execute as part of the job. Conflicts with query_file_uri
ScriptVariables map[string]string: Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).

continueOnFailure Boolean: Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries. Defaults to false.
jarFileUris List<String>: HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
properties Map<String,String>: A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code..
queryFileUri String: HCFS URI of file containing Hive script to execute as the job. Conflicts with query_list
queryLists List<String>: The list of Hive queries or statements to execute as part of the job. Conflicts with query_file_uri
scriptVariables Map<String,String>: Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).

continueOnFailure boolean: Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries. Defaults to false.
jarFileUris string[]: HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
properties {[key: string]: string}: A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code..
queryFileUri string: HCFS URI of file containing Hive script to execute as the job. Conflicts with query_list
queryLists string[]: The list of Hive queries or statements to execute as part of the job. Conflicts with query_file_uri
scriptVariables {[key: string]: string}: Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).

continue_on_failure bool: Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries. Defaults to false.
jar_file_uris Sequence[str]: HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
properties Mapping[str, str]: A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code..
query_file_uri str: HCFS URI of file containing Hive script to execute as the job. Conflicts with query_list
query_lists Sequence[str]: The list of Hive queries or statements to execute as part of the job. Conflicts with query_file_uri
script_variables Mapping[str, str]: Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).

continueOnFailure Boolean: Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries. Defaults to false.
jarFileUris List<String>: HCFS URIs of jar files to add to the CLASSPATH of the Hive server and Hadoop MapReduce (MR) tasks. Can contain Hive SerDes and UDFs.
properties Map<String>: A mapping of property names and values, used to configure Hive. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/hive/conf/hive-site.xml, and classes in user code..
queryFileUri String: HCFS URI of file containing Hive script to execute as the job. Conflicts with query_list
queryLists List<String>: The list of Hive queries or statements to execute as part of the job. Conflicts with query_file_uri
scriptVariables Map<String>: Mapping of query variable names to values (equivalent to the Hive command: SET name="value";).

JobPigConfig, JobPigConfigArgs

ContinueOnFailure bool

Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries. Defaults to false.

JarFileUris List<string>

HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

LoggingConfig JobPigConfigLoggingConfig

The runtime logging config of the job

Properties Dictionary<string, string>

A mapping of property names to values, used to configure Pig. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/hadoop/conf/*-site.xml, /etc/pig/conf/pig.properties, and classes in user code.

QueryFileUri string

HCFS URI of file containing Hive script to execute as the job. Conflicts with query_list

QueryLists List<string>

The list of Hive queries or statements to execute as part of the job. Conflicts with query_file_uri

ScriptVariables Dictionary<string, string>

Mapping of query variable names to values (equivalent to the Pig command: name=[value]).

ContinueOnFailure bool

Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries. Defaults to false.

JarFileUris []string

HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

LoggingConfig JobPigConfigLoggingConfig

The runtime logging config of the job

Properties map[string]string

QueryFileUri string

HCFS URI of file containing Hive script to execute as the job. Conflicts with query_list

QueryLists []string

The list of Hive queries or statements to execute as part of the job. Conflicts with query_file_uri

ScriptVariables map[string]string

Mapping of query variable names to values (equivalent to the Pig command: name=[value]).

continueOnFailure Boolean

Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries. Defaults to false.

jarFileUris List<String>

HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

loggingConfig JobPigConfigLoggingConfig

The runtime logging config of the job

properties Map<String,String>

queryFileUri String

HCFS URI of file containing Hive script to execute as the job. Conflicts with query_list

queryLists List<String>

The list of Hive queries or statements to execute as part of the job. Conflicts with query_file_uri

scriptVariables Map<String,String>

Mapping of query variable names to values (equivalent to the Pig command: name=[value]).

continueOnFailure boolean

Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries. Defaults to false.

jarFileUris string[]

HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

loggingConfig JobPigConfigLoggingConfig

The runtime logging config of the job

properties {[key: string]: string}

queryFileUri string

HCFS URI of file containing Hive script to execute as the job. Conflicts with query_list

queryLists string[]

The list of Hive queries or statements to execute as part of the job. Conflicts with query_file_uri

scriptVariables {[key: string]: string}

Mapping of query variable names to values (equivalent to the Pig command: name=[value]).

continue_on_failure bool

Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries. Defaults to false.

jar_file_uris Sequence[str]

HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

logging_config JobPigConfigLoggingConfig

The runtime logging config of the job

properties Mapping[str, str]

query_file_uri str

HCFS URI of file containing Hive script to execute as the job. Conflicts with query_list

query_lists Sequence[str]

The list of Hive queries or statements to execute as part of the job. Conflicts with query_file_uri

script_variables Mapping[str, str]

Mapping of query variable names to values (equivalent to the Pig command: name=[value]).

continueOnFailure Boolean

Whether to continue executing queries if a query fails. The default value is false. Setting to true can be useful when executing independent parallel queries. Defaults to false.

jarFileUris List<String>

HCFS URIs of jar files to add to the CLASSPATH of the Pig Client and Hadoop MapReduce (MR) tasks. Can contain Pig UDFs.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

loggingConfig Property Map

The runtime logging config of the job

properties Map<String>

queryFileUri String

HCFS URI of file containing Hive script to execute as the job. Conflicts with query_list

queryLists List<String>

The list of Hive queries or statements to execute as part of the job. Conflicts with query_file_uri

scriptVariables Map<String>

Mapping of query variable names to values (equivalent to the Pig command: name=[value]).

JobPigConfigLoggingConfig, JobPigConfigLoggingConfigArgs

DriverLogLevels Dictionary<string, string>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

DriverLogLevels map[string]string: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels Map<String,String>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels {[key: string]: string}: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driver_log_levels Mapping[str, str]: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels Map<String>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

JobPlacement, JobPlacementArgs

ClusterName string: The name of the cluster where the job will be submitted
ClusterUuid string: Output-only. A cluster UUID generated by the Cloud Dataproc service when the job is submitted

ClusterName string: The name of the cluster where the job will be submitted
ClusterUuid string: Output-only. A cluster UUID generated by the Cloud Dataproc service when the job is submitted

clusterName String: The name of the cluster where the job will be submitted
clusterUuid String: Output-only. A cluster UUID generated by the Cloud Dataproc service when the job is submitted

clusterName string: The name of the cluster where the job will be submitted
clusterUuid string: Output-only. A cluster UUID generated by the Cloud Dataproc service when the job is submitted

cluster_name str: The name of the cluster where the job will be submitted
cluster_uuid str: Output-only. A cluster UUID generated by the Cloud Dataproc service when the job is submitted

clusterName String: The name of the cluster where the job will be submitted
clusterUuid String: Output-only. A cluster UUID generated by the Cloud Dataproc service when the job is submitted

JobPrestoConfig, JobPrestoConfigArgs

ClientTags List<string>

Presto client tags to attach to this query.

ContinueOnFailure bool

Whether to continue executing queries if a query fails. Setting to true can be useful when executing independent parallel queries. Defaults to false.

LoggingConfig JobPrestoConfigLoggingConfig

The runtime logging config of the job

OutputFormat string

The format in which query output will be displayed. See the Presto documentation for supported output formats.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

Properties Dictionary<string, string>

A mapping of property names to values. Used to set Presto session properties Equivalent to using the --session flag in the Presto CLI.

QueryFileUri string

The HCFS URI of the script that contains SQL queries. Conflicts with query_list

QueryLists List<string>

The list of SQL queries or statements to execute as part of the job. Conflicts with query_file_uri

ClientTags []string

Presto client tags to attach to this query.

ContinueOnFailure bool

Whether to continue executing queries if a query fails. Setting to true can be useful when executing independent parallel queries. Defaults to false.

LoggingConfig JobPrestoConfigLoggingConfig

The runtime logging config of the job

OutputFormat string

The format in which query output will be displayed. See the Presto documentation for supported output formats.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

Properties map[string]string

A mapping of property names to values. Used to set Presto session properties Equivalent to using the --session flag in the Presto CLI.

QueryFileUri string

The HCFS URI of the script that contains SQL queries. Conflicts with query_list

QueryLists []string

The list of SQL queries or statements to execute as part of the job. Conflicts with query_file_uri

clientTags List<String>

Presto client tags to attach to this query.

continueOnFailure Boolean

Whether to continue executing queries if a query fails. Setting to true can be useful when executing independent parallel queries. Defaults to false.

loggingConfig JobPrestoConfigLoggingConfig

The runtime logging config of the job

outputFormat String

The format in which query output will be displayed. See the Presto documentation for supported output formats.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

properties Map<String,String>

A mapping of property names to values. Used to set Presto session properties Equivalent to using the --session flag in the Presto CLI.

queryFileUri String

The HCFS URI of the script that contains SQL queries. Conflicts with query_list

queryLists List<String>

The list of SQL queries or statements to execute as part of the job. Conflicts with query_file_uri

clientTags string[]

Presto client tags to attach to this query.

continueOnFailure boolean

Whether to continue executing queries if a query fails. Setting to true can be useful when executing independent parallel queries. Defaults to false.

loggingConfig JobPrestoConfigLoggingConfig

The runtime logging config of the job

outputFormat string

The format in which query output will be displayed. See the Presto documentation for supported output formats.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

properties {[key: string]: string}

A mapping of property names to values. Used to set Presto session properties Equivalent to using the --session flag in the Presto CLI.

queryFileUri string

The HCFS URI of the script that contains SQL queries. Conflicts with query_list

queryLists string[]

The list of SQL queries or statements to execute as part of the job. Conflicts with query_file_uri

client_tags Sequence[str]

Presto client tags to attach to this query.

continue_on_failure bool

Whether to continue executing queries if a query fails. Setting to true can be useful when executing independent parallel queries. Defaults to false.

logging_config JobPrestoConfigLoggingConfig

The runtime logging config of the job

output_format str

The format in which query output will be displayed. See the Presto documentation for supported output formats.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

properties Mapping[str, str]

A mapping of property names to values. Used to set Presto session properties Equivalent to using the --session flag in the Presto CLI.

query_file_uri str

The HCFS URI of the script that contains SQL queries. Conflicts with query_list

query_lists Sequence[str]

The list of SQL queries or statements to execute as part of the job. Conflicts with query_file_uri

clientTags List<String>

Presto client tags to attach to this query.

continueOnFailure Boolean

Whether to continue executing queries if a query fails. Setting to true can be useful when executing independent parallel queries. Defaults to false.

loggingConfig Property Map

The runtime logging config of the job

outputFormat String

The format in which query output will be displayed. See the Presto documentation for supported output formats.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

properties Map<String>

A mapping of property names to values. Used to set Presto session properties Equivalent to using the --session flag in the Presto CLI.

queryFileUri String

The HCFS URI of the script that contains SQL queries. Conflicts with query_list

queryLists List<String>

The list of SQL queries or statements to execute as part of the job. Conflicts with query_file_uri

JobPrestoConfigLoggingConfig, JobPrestoConfigLoggingConfigArgs

DriverLogLevels Dictionary<string, string>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

DriverLogLevels map[string]string: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels Map<String,String>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels {[key: string]: string}: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driver_log_levels Mapping[str, str]: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels Map<String>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

JobPysparkConfig, JobPysparkConfigArgs

MainPythonFileUri string

The HCFS URI of the main Python file to use as the driver. Must be a .py file.

ArchiveUris List<string>

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

Args List<string>

The arguments to pass to the driver.

FileUris List<string>

HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks.

JarFileUris List<string>

HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.

LoggingConfig JobPysparkConfigLoggingConfig

The runtime logging config of the job

Properties Dictionary<string, string>

A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

PythonFileUris List<string>

HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

MainPythonFileUri string

The HCFS URI of the main Python file to use as the driver. Must be a .py file.

ArchiveUris []string

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

Args []string

The arguments to pass to the driver.

FileUris []string

HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks.

JarFileUris []string

HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.

LoggingConfig JobPysparkConfigLoggingConfig

The runtime logging config of the job

Properties map[string]string

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

PythonFileUris []string

HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

mainPythonFileUri String

The HCFS URI of the main Python file to use as the driver. Must be a .py file.

archiveUris List<String>

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

args List<String>

The arguments to pass to the driver.

fileUris List<String>

HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks.

jarFileUris List<String>

HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.

loggingConfig JobPysparkConfigLoggingConfig

The runtime logging config of the job

properties Map<String,String>

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

pythonFileUris List<String>

HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

mainPythonFileUri string

The HCFS URI of the main Python file to use as the driver. Must be a .py file.

archiveUris string[]

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

args string[]

The arguments to pass to the driver.

fileUris string[]

HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks.

jarFileUris string[]

HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.

loggingConfig JobPysparkConfigLoggingConfig

The runtime logging config of the job

properties {[key: string]: string}

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

pythonFileUris string[]

HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

main_python_file_uri str

The HCFS URI of the main Python file to use as the driver. Must be a .py file.

archive_uris Sequence[str]

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

args Sequence[str]

The arguments to pass to the driver.

file_uris Sequence[str]

HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks.

jar_file_uris Sequence[str]

HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.

logging_config JobPysparkConfigLoggingConfig

The runtime logging config of the job

properties Mapping[str, str]

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

python_file_uris Sequence[str]

HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

mainPythonFileUri String

The HCFS URI of the main Python file to use as the driver. Must be a .py file.

archiveUris List<String>

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

args List<String>

The arguments to pass to the driver.

fileUris List<String>

HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks.

jarFileUris List<String>

HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.

loggingConfig Property Map

The runtime logging config of the job

properties Map<String>

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

pythonFileUris List<String>

HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

JobPysparkConfigLoggingConfig, JobPysparkConfigLoggingConfigArgs

DriverLogLevels Dictionary<string, string>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

DriverLogLevels map[string]string: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels Map<String,String>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels {[key: string]: string}: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driver_log_levels Mapping[str, str]: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels Map<String>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

JobReference, JobReferenceArgs

JobId string: The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs

JobId string: The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs

jobId String: The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs

jobId string: The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs

job_id str: The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs

jobId String: The job ID, which must be unique within the project. The job ID is generated by the server upon job submission or provided by the user as a means to perform retries without creating duplicate jobs

JobScheduling, JobSchedulingArgs

MaxFailuresPerHour int: Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
MaxFailuresTotal int: Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

MaxFailuresPerHour int: Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
MaxFailuresTotal int: Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

maxFailuresPerHour Integer: Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
maxFailuresTotal Integer: Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

maxFailuresPerHour number: Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
maxFailuresTotal number: Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

max_failures_per_hour int: Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
max_failures_total int: Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

maxFailuresPerHour Number: Maximum number of times per hour a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.
maxFailuresTotal Number: Maximum number of times in total a driver may be restarted as a result of driver exiting with non-zero code before job is reported failed.

JobSparkConfig, JobSparkConfigArgs

ArchiveUris List<string>

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

Args List<string>

The arguments to pass to the driver.

FileUris List<string>

HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.

JarFileUris List<string>

HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

LoggingConfig JobSparkConfigLoggingConfig

The runtime logging config of the job

MainClass string

The class containing the main method of the driver. Must be in a provided jar or jar that is already on the classpath. Conflicts with main_jar_file_uri

MainJarFileUri string

The HCFS URI of jar file containing the driver jar. Conflicts with main_class

Properties Dictionary<string, string>

A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

ArchiveUris []string

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

Args []string

The arguments to pass to the driver.

FileUris []string

HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.

JarFileUris []string

HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

LoggingConfig JobSparkConfigLoggingConfig

The runtime logging config of the job

MainClass string

The class containing the main method of the driver. Must be in a provided jar or jar that is already on the classpath. Conflicts with main_jar_file_uri

MainJarFileUri string

The HCFS URI of jar file containing the driver jar. Conflicts with main_class

Properties map[string]string

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

archiveUris List<String>

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

args List<String>

The arguments to pass to the driver.

fileUris List<String>

HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.

jarFileUris List<String>

HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

loggingConfig JobSparkConfigLoggingConfig

The runtime logging config of the job

mainClass String

The class containing the main method of the driver. Must be in a provided jar or jar that is already on the classpath. Conflicts with main_jar_file_uri

mainJarFileUri String

The HCFS URI of jar file containing the driver jar. Conflicts with main_class

properties Map<String,String>

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

archiveUris string[]

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

args string[]

The arguments to pass to the driver.

fileUris string[]

HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.

jarFileUris string[]

HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

loggingConfig JobSparkConfigLoggingConfig

The runtime logging config of the job

mainClass string

The class containing the main method of the driver. Must be in a provided jar or jar that is already on the classpath. Conflicts with main_jar_file_uri

mainJarFileUri string

The HCFS URI of jar file containing the driver jar. Conflicts with main_class

properties {[key: string]: string}

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

archive_uris Sequence[str]

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

args Sequence[str]

The arguments to pass to the driver.

file_uris Sequence[str]

HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.

jar_file_uris Sequence[str]

HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

logging_config JobSparkConfigLoggingConfig

The runtime logging config of the job

main_class str

The class containing the main method of the driver. Must be in a provided jar or jar that is already on the classpath. Conflicts with main_jar_file_uri

main_jar_file_uri str

The HCFS URI of jar file containing the driver jar. Conflicts with main_class

properties Mapping[str, str]

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

archiveUris List<String>

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

args List<String>

The arguments to pass to the driver.

fileUris List<String>

HCFS URIs of files to be copied to the working directory of Spark drivers and distributed tasks. Useful for naively parallel tasks.

jarFileUris List<String>

HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.

loggingConfig Property Map

The runtime logging config of the job

mainClass String

The class containing the main method of the driver. Must be in a provided jar or jar that is already on the classpath. Conflicts with main_jar_file_uri

mainJarFileUri String

The HCFS URI of jar file containing the driver jar. Conflicts with main_class

properties Map<String>

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

JobSparkConfigLoggingConfig, JobSparkConfigLoggingConfigArgs

DriverLogLevels Dictionary<string, string>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

DriverLogLevels map[string]string: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels Map<String,String>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels {[key: string]: string}: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driver_log_levels Mapping[str, str]: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels Map<String>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

JobSparksqlConfig, JobSparksqlConfigArgs

JarFileUris List<string>

HCFS URIs of jar files to be added to the Spark CLASSPATH.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

LoggingConfig JobSparksqlConfigLoggingConfig

The runtime logging config of the job

Properties Dictionary<string, string>

A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten.

QueryFileUri string

The HCFS URI of the script that contains SQL queries. Conflicts with query_list

QueryLists List<string>

The list of SQL queries or statements to execute as part of the job. Conflicts with query_file_uri

ScriptVariables Dictionary<string, string>

Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

JarFileUris []string

HCFS URIs of jar files to be added to the Spark CLASSPATH.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

LoggingConfig JobSparksqlConfigLoggingConfig

The runtime logging config of the job

Properties map[string]string

A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten.

QueryFileUri string

The HCFS URI of the script that contains SQL queries. Conflicts with query_list

QueryLists []string

The list of SQL queries or statements to execute as part of the job. Conflicts with query_file_uri

ScriptVariables map[string]string

Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

jarFileUris List<String>

HCFS URIs of jar files to be added to the Spark CLASSPATH.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

loggingConfig JobSparksqlConfigLoggingConfig

The runtime logging config of the job

properties Map<String,String>

A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten.

queryFileUri String

The HCFS URI of the script that contains SQL queries. Conflicts with query_list

queryLists List<String>

The list of SQL queries or statements to execute as part of the job. Conflicts with query_file_uri

scriptVariables Map<String,String>

Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

jarFileUris string[]

HCFS URIs of jar files to be added to the Spark CLASSPATH.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

loggingConfig JobSparksqlConfigLoggingConfig

The runtime logging config of the job

properties {[key: string]: string}

A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten.

queryFileUri string

The HCFS URI of the script that contains SQL queries. Conflicts with query_list

queryLists string[]

The list of SQL queries or statements to execute as part of the job. Conflicts with query_file_uri

scriptVariables {[key: string]: string}

Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

jar_file_uris Sequence[str]

HCFS URIs of jar files to be added to the Spark CLASSPATH.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

logging_config JobSparksqlConfigLoggingConfig

The runtime logging config of the job

properties Mapping[str, str]

A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten.

query_file_uri str

The HCFS URI of the script that contains SQL queries. Conflicts with query_list

query_lists Sequence[str]

The list of SQL queries or statements to execute as part of the job. Conflicts with query_file_uri

script_variables Mapping[str, str]

Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

jarFileUris List<String>

HCFS URIs of jar files to be added to the Spark CLASSPATH.

logging_config.driver_log_levels- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'

loggingConfig Property Map

The runtime logging config of the job

properties Map<String>

A mapping of property names to values, used to configure Spark SQL's SparkConf. Properties that conflict with values set by the Cloud Dataproc API may be overwritten.

queryFileUri String

The HCFS URI of the script that contains SQL queries. Conflicts with query_list

queryLists List<String>

The list of SQL queries or statements to execute as part of the job. Conflicts with query_file_uri

scriptVariables Map<String>

Mapping of query variable names to values (equivalent to the Spark SQL command: SET name="value";).

JobSparksqlConfigLoggingConfig, JobSparksqlConfigLoggingConfigArgs

DriverLogLevels Dictionary<string, string>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

DriverLogLevels map[string]string: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels Map<String,String>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels {[key: string]: string}: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driver_log_levels Mapping[str, str]: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

driverLogLevels Map<String>: Optional. The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'.

JobStatus, JobStatusArgs

Details string: Optional job state details, such as an error description if the state is ERROR.
State string: A state message specifying the overall job state.
StateStartTime string: The time when this state was entered.
Substate string: Additional state information, which includes status reported by the agent.

Details string: Optional job state details, such as an error description if the state is ERROR.
State string: A state message specifying the overall job state.
StateStartTime string: The time when this state was entered.
Substate string: Additional state information, which includes status reported by the agent.

details String: Optional job state details, such as an error description if the state is ERROR.
state String: A state message specifying the overall job state.
stateStartTime String: The time when this state was entered.
substate String: Additional state information, which includes status reported by the agent.

details string: Optional job state details, such as an error description if the state is ERROR.
state string: A state message specifying the overall job state.
stateStartTime string: The time when this state was entered.
substate string: Additional state information, which includes status reported by the agent.

details str: Optional job state details, such as an error description if the state is ERROR.
state str: A state message specifying the overall job state.
state_start_time str: The time when this state was entered.
substate str: Additional state information, which includes status reported by the agent.

details String: Optional job state details, such as an error description if the state is ERROR.
state String: A state message specifying the overall job state.
stateStartTime String: The time when this state was entered.
substate String: Additional state information, which includes status reported by the agent.

Import

This resource does not support import.

To learn more about importing existing cloud resources, see Importing resources.

Package Details

Repository: Google Cloud (GCP) Classic pulumi/pulumi-gcp
License: Apache-2.0
Notes: This Pulumi package is based on the google-beta Terraform Provider.

Google Cloud Classic v7.19.0 published on Thursday, Apr 18, 2024 by Pulumi

pulumi/pulumi-gcp

gcp.dataproc.Job

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Example Usage

Create Job Resource

Constructor syntax

Parameters

Example

Job Resource Properties

Inputs

Outputs

Look up Existing Job Resource

Supporting Types

JobHadoopConfig, JobHadoopConfigArgs

JobHadoopConfigLoggingConfig, JobHadoopConfigLoggingConfigArgs

JobHiveConfig, JobHiveConfigArgs

JobPigConfig, JobPigConfigArgs

JobPigConfigLoggingConfig, JobPigConfigLoggingConfigArgs

JobPlacement, JobPlacementArgs

JobPrestoConfig, JobPrestoConfigArgs

JobPrestoConfigLoggingConfig, JobPrestoConfigLoggingConfigArgs

JobPysparkConfig, JobPysparkConfigArgs

JobPysparkConfigLoggingConfig, JobPysparkConfigLoggingConfigArgs

JobReference, JobReferenceArgs

JobScheduling, JobSchedulingArgs

JobSparkConfig, JobSparkConfigArgs

JobSparkConfigLoggingConfig, JobSparkConfigLoggingConfigArgs

JobSparksqlConfig, JobSparksqlConfigArgs

JobSparksqlConfigLoggingConfig, JobSparksqlConfigLoggingConfigArgs

JobStatus, JobStatusArgs

Import

Package Details

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