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AWS Classic v6.31.1 published on Thursday, Apr 18, 2024 by Pulumi
pulumi/pulumi-aws

aws.glue.Job

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Try AWS Native preview for resources not in the classic version.

AWS Classic v6.31.1 published on Thursday, Apr 18, 2024 by Pulumi
pulumi/pulumi-aws

    Provides a Glue Job resource.

    Glue functionality, such as monitoring and logging of jobs, is typically managed with the default_arguments argument. See the Special Parameters Used by AWS Glue topic in the Glue developer guide for additional information.

    Example Usage

    Python Job

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

const example = new aws.glue.Job("example", {
    name: "example",
    roleArn: exampleAwsIamRole.arn,
    command: {
        scriptLocation: `s3://${exampleAwsS3Bucket.bucket}/example.py`,
    },
});

    import pulumi
import pulumi_aws as aws

example = aws.glue.Job("example",
    name="example",
    role_arn=example_aws_iam_role["arn"],
    command=aws.glue.JobCommandArgs(
        script_location=f"s3://{example_aws_s3_bucket['bucket']}/example.py",
    ))

    package main

import (
	"fmt"

	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/glue"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := glue.NewJob(ctx, "example", &glue.JobArgs{
			Name:    pulumi.String("example"),
			RoleArn: pulumi.Any(exampleAwsIamRole.Arn),
			Command: &glue.JobCommandArgs{
				ScriptLocation: pulumi.String(fmt.Sprintf("s3://%v/example.py", exampleAwsS3Bucket.Bucket)),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var example = new Aws.Glue.Job("example", new()
    {
        Name = "example",
        RoleArn = exampleAwsIamRole.Arn,
        Command = new Aws.Glue.Inputs.JobCommandArgs
        {
            ScriptLocation = $"s3://{exampleAwsS3Bucket.Bucket}/example.py",
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.glue.Job;
import com.pulumi.aws.glue.JobArgs;
import com.pulumi.aws.glue.inputs.JobCommandArgs;
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 example = new Job("example", JobArgs.builder()        
            .name("example")
            .roleArn(exampleAwsIamRole.arn())
            .command(JobCommandArgs.builder()
                .scriptLocation(String.format("s3://%s/example.py", exampleAwsS3Bucket.bucket()))
                .build())
            .build());

    }
}

    resources:
  example:
    type: aws:glue:Job
    properties:
      name: example
      roleArn: ${exampleAwsIamRole.arn}
      command:
        scriptLocation: s3://${exampleAwsS3Bucket.bucket}/example.py

    Ray Job

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

const example = new aws.glue.Job("example", {
    name: "example",
    roleArn: exampleAwsIamRole.arn,
    glueVersion: "4.0",
    workerType: "Z.2X",
    command: {
        name: "glueray",
        pythonVersion: "3.9",
        runtime: "Ray2.4",
        scriptLocation: `s3://${exampleAwsS3Bucket.bucket}/example.py`,
    },
});

    import pulumi
import pulumi_aws as aws

example = aws.glue.Job("example",
    name="example",
    role_arn=example_aws_iam_role["arn"],
    glue_version="4.0",
    worker_type="Z.2X",
    command=aws.glue.JobCommandArgs(
        name="glueray",
        python_version="3.9",
        runtime="Ray2.4",
        script_location=f"s3://{example_aws_s3_bucket['bucket']}/example.py",
    ))

    package main

import (
	"fmt"

	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/glue"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := glue.NewJob(ctx, "example", &glue.JobArgs{
			Name:        pulumi.String("example"),
			RoleArn:     pulumi.Any(exampleAwsIamRole.Arn),
			GlueVersion: pulumi.String("4.0"),
			WorkerType:  pulumi.String("Z.2X"),
			Command: &glue.JobCommandArgs{
				Name:           pulumi.String("glueray"),
				PythonVersion:  pulumi.String("3.9"),
				Runtime:        pulumi.String("Ray2.4"),
				ScriptLocation: pulumi.String(fmt.Sprintf("s3://%v/example.py", exampleAwsS3Bucket.Bucket)),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var example = new Aws.Glue.Job("example", new()
    {
        Name = "example",
        RoleArn = exampleAwsIamRole.Arn,
        GlueVersion = "4.0",
        WorkerType = "Z.2X",
        Command = new Aws.Glue.Inputs.JobCommandArgs
        {
            Name = "glueray",
            PythonVersion = "3.9",
            Runtime = "Ray2.4",
            ScriptLocation = $"s3://{exampleAwsS3Bucket.Bucket}/example.py",
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.glue.Job;
import com.pulumi.aws.glue.JobArgs;
import com.pulumi.aws.glue.inputs.JobCommandArgs;
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 example = new Job("example", JobArgs.builder()        
            .name("example")
            .roleArn(exampleAwsIamRole.arn())
            .glueVersion("4.0")
            .workerType("Z.2X")
            .command(JobCommandArgs.builder()
                .name("glueray")
                .pythonVersion("3.9")
                .runtime("Ray2.4")
                .scriptLocation(String.format("s3://%s/example.py", exampleAwsS3Bucket.bucket()))
                .build())
            .build());

    }
}

    resources:
  example:
    type: aws:glue:Job
    properties:
      name: example
      roleArn: ${exampleAwsIamRole.arn}
      glueVersion: '4.0'
      workerType: Z.2X
      command:
        name: glueray
        pythonVersion: '3.9'
        runtime: Ray2.4
        scriptLocation: s3://${exampleAwsS3Bucket.bucket}/example.py

    Scala Job

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

const example = new aws.glue.Job("example", {
    name: "example",
    roleArn: exampleAwsIamRole.arn,
    command: {
        scriptLocation: `s3://${exampleAwsS3Bucket.bucket}/example.scala`,
    },
    defaultArguments: {
        "--job-language": "scala",
    },
});

    import pulumi
import pulumi_aws as aws

example = aws.glue.Job("example",
    name="example",
    role_arn=example_aws_iam_role["arn"],
    command=aws.glue.JobCommandArgs(
        script_location=f"s3://{example_aws_s3_bucket['bucket']}/example.scala",
    ),
    default_arguments={
        "--job-language": "scala",
    })

    package main

import (
	"fmt"

	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/glue"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := glue.NewJob(ctx, "example", &glue.JobArgs{
			Name:    pulumi.String("example"),
			RoleArn: pulumi.Any(exampleAwsIamRole.Arn),
			Command: &glue.JobCommandArgs{
				ScriptLocation: pulumi.String(fmt.Sprintf("s3://%v/example.scala", exampleAwsS3Bucket.Bucket)),
			},
			DefaultArguments: pulumi.StringMap{
				"--job-language": pulumi.String("scala"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var example = new Aws.Glue.Job("example", new()
    {
        Name = "example",
        RoleArn = exampleAwsIamRole.Arn,
        Command = new Aws.Glue.Inputs.JobCommandArgs
        {
            ScriptLocation = $"s3://{exampleAwsS3Bucket.Bucket}/example.scala",
        },
        DefaultArguments = 
        {
            { "--job-language", "scala" },
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.glue.Job;
import com.pulumi.aws.glue.JobArgs;
import com.pulumi.aws.glue.inputs.JobCommandArgs;
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 example = new Job("example", JobArgs.builder()        
            .name("example")
            .roleArn(exampleAwsIamRole.arn())
            .command(JobCommandArgs.builder()
                .scriptLocation(String.format("s3://%s/example.scala", exampleAwsS3Bucket.bucket()))
                .build())
            .defaultArguments(Map.of("--job-language", "scala"))
            .build());

    }
}

    resources:
  example:
    type: aws:glue:Job
    properties:
      name: example
      roleArn: ${exampleAwsIamRole.arn}
      command:
        scriptLocation: s3://${exampleAwsS3Bucket.bucket}/example.scala
      defaultArguments:
        --job-language: scala

    Streaming Job

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

const example = new aws.glue.Job("example", {
    name: "example streaming job",
    roleArn: exampleAwsIamRole.arn,
    command: {
        name: "gluestreaming",
        scriptLocation: `s3://${exampleAwsS3Bucket.bucket}/example.script`,
    },
});

    import pulumi
import pulumi_aws as aws

example = aws.glue.Job("example",
    name="example streaming job",
    role_arn=example_aws_iam_role["arn"],
    command=aws.glue.JobCommandArgs(
        name="gluestreaming",
        script_location=f"s3://{example_aws_s3_bucket['bucket']}/example.script",
    ))

    package main

import (
	"fmt"

	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/glue"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := glue.NewJob(ctx, "example", &glue.JobArgs{
			Name:    pulumi.String("example streaming job"),
			RoleArn: pulumi.Any(exampleAwsIamRole.Arn),
			Command: &glue.JobCommandArgs{
				Name:           pulumi.String("gluestreaming"),
				ScriptLocation: pulumi.String(fmt.Sprintf("s3://%v/example.script", exampleAwsS3Bucket.Bucket)),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var example = new Aws.Glue.Job("example", new()
    {
        Name = "example streaming job",
        RoleArn = exampleAwsIamRole.Arn,
        Command = new Aws.Glue.Inputs.JobCommandArgs
        {
            Name = "gluestreaming",
            ScriptLocation = $"s3://{exampleAwsS3Bucket.Bucket}/example.script",
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.glue.Job;
import com.pulumi.aws.glue.JobArgs;
import com.pulumi.aws.glue.inputs.JobCommandArgs;
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 example = new Job("example", JobArgs.builder()        
            .name("example streaming job")
            .roleArn(exampleAwsIamRole.arn())
            .command(JobCommandArgs.builder()
                .name("gluestreaming")
                .scriptLocation(String.format("s3://%s/example.script", exampleAwsS3Bucket.bucket()))
                .build())
            .build());

    }
}

    resources:
  example:
    type: aws:glue:Job
    properties:
      name: example streaming job
      roleArn: ${exampleAwsIamRole.arn}
      command:
        name: gluestreaming
        scriptLocation: s3://${exampleAwsS3Bucket.bucket}/example.script

    Enabling CloudWatch Logs and Metrics

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

const example = new aws.cloudwatch.LogGroup("example", {
    name: "example",
    retentionInDays: 14,
});
const exampleJob = new aws.glue.Job("example", {defaultArguments: {
    "--continuous-log-logGroup": example.name,
    "--enable-continuous-cloudwatch-log": "true",
    "--enable-continuous-log-filter": "true",
    "--enable-metrics": "",
}});

    import pulumi
import pulumi_aws as aws

example = aws.cloudwatch.LogGroup("example",
    name="example",
    retention_in_days=14)
example_job = aws.glue.Job("example", default_arguments={
    "--continuous-log-logGroup": example.name,
    "--enable-continuous-cloudwatch-log": "true",
    "--enable-continuous-log-filter": "true",
    "--enable-metrics": "",
})

    package main

import (
	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/cloudwatch"
	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/glue"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		example, err := cloudwatch.NewLogGroup(ctx, "example", &cloudwatch.LogGroupArgs{
			Name:            pulumi.String("example"),
			RetentionInDays: pulumi.Int(14),
		})
		if err != nil {
			return err
		}
		_, err = glue.NewJob(ctx, "example", &glue.JobArgs{
			DefaultArguments: pulumi.StringMap{
				"--continuous-log-logGroup":          example.Name,
				"--enable-continuous-cloudwatch-log": pulumi.String("true"),
				"--enable-continuous-log-filter":     pulumi.String("true"),
				"--enable-metrics":                   pulumi.String(""),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var example = new Aws.CloudWatch.LogGroup("example", new()
    {
        Name = "example",
        RetentionInDays = 14,
    });

    var exampleJob = new Aws.Glue.Job("example", new()
    {
        DefaultArguments = 
        {
            { "--continuous-log-logGroup", example.Name },
            { "--enable-continuous-cloudwatch-log", "true" },
            { "--enable-continuous-log-filter", "true" },
            { "--enable-metrics", "" },
        },
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.cloudwatch.LogGroup;
import com.pulumi.aws.cloudwatch.LogGroupArgs;
import com.pulumi.aws.glue.Job;
import com.pulumi.aws.glue.JobArgs;
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 example = new LogGroup("example", LogGroupArgs.builder()        
            .name("example")
            .retentionInDays(14)
            .build());

        var exampleJob = new Job("exampleJob", JobArgs.builder()        
            .defaultArguments(Map.ofEntries(
                Map.entry("--continuous-log-logGroup", example.name()),
                Map.entry("--enable-continuous-cloudwatch-log", "true"),
                Map.entry("--enable-continuous-log-filter", "true"),
                Map.entry("--enable-metrics", "")
            ))
            .build());

    }
}

    resources:
  example:
    type: aws:cloudwatch:LogGroup
    properties:
      name: example
      retentionInDays: 14
  exampleJob:
    type: aws:glue:Job
    name: example
    properties:
      defaultArguments:
        --continuous-log-logGroup: ${example.name}
        --enable-continuous-cloudwatch-log: 'true'
        --enable-continuous-log-filter: 'true'
        --enable-metrics:

    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,
        command: Optional[JobCommandArgs] = None,
        role_arn: Optional[str] = None,
        max_retries: Optional[int] = None,
        name: Optional[str] = None,
        execution_class: Optional[str] = None,
        execution_property: Optional[JobExecutionPropertyArgs] = None,
        glue_version: Optional[str] = None,
        max_capacity: Optional[float] = None,
        default_arguments: Optional[Mapping[str, str]] = None,
        description: Optional[str] = None,
        non_overridable_arguments: Optional[Mapping[str, str]] = None,
        notification_property: Optional[JobNotificationPropertyArgs] = None,
        number_of_workers: Optional[int] = None,
        connections: Optional[Sequence[str]] = None,
        security_configuration: Optional[str] = None,
        tags: Optional[Mapping[str, str]] = None,
        timeout: Optional[int] = None,
        worker_type: Optional[str] = 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: aws:glue: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 jobResource = new Aws.Glue.Job("jobResource", new()
{
    Command = new Aws.Glue.Inputs.JobCommandArgs
    {
        ScriptLocation = "string",
        Name = "string",
        PythonVersion = "string",
        Runtime = "string",
    },
    RoleArn = "string",
    MaxRetries = 0,
    Name = "string",
    ExecutionClass = "string",
    ExecutionProperty = new Aws.Glue.Inputs.JobExecutionPropertyArgs
    {
        MaxConcurrentRuns = 0,
    },
    GlueVersion = "string",
    MaxCapacity = 0,
    DefaultArguments = 
    {
        { "string", "string" },
    },
    Description = "string",
    NonOverridableArguments = 
    {
        { "string", "string" },
    },
    NotificationProperty = new Aws.Glue.Inputs.JobNotificationPropertyArgs
    {
        NotifyDelayAfter = 0,
    },
    NumberOfWorkers = 0,
    Connections = new[]
    {
        "string",
    },
    SecurityConfiguration = "string",
    Tags = 
    {
        { "string", "string" },
    },
    Timeout = 0,
    WorkerType = "string",
});

    example, err := glue.NewJob(ctx, "jobResource", &glue.JobArgs{
	Command: &glue.JobCommandArgs{
		ScriptLocation: pulumi.String("string"),
		Name:           pulumi.String("string"),
		PythonVersion:  pulumi.String("string"),
		Runtime:        pulumi.String("string"),
	},
	RoleArn:        pulumi.String("string"),
	MaxRetries:     pulumi.Int(0),
	Name:           pulumi.String("string"),
	ExecutionClass: pulumi.String("string"),
	ExecutionProperty: &glue.JobExecutionPropertyArgs{
		MaxConcurrentRuns: pulumi.Int(0),
	},
	GlueVersion: pulumi.String("string"),
	MaxCapacity: pulumi.Float64(0),
	DefaultArguments: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Description: pulumi.String("string"),
	NonOverridableArguments: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	NotificationProperty: &glue.JobNotificationPropertyArgs{
		NotifyDelayAfter: pulumi.Int(0),
	},
	NumberOfWorkers: pulumi.Int(0),
	Connections: pulumi.StringArray{
		pulumi.String("string"),
	},
	SecurityConfiguration: pulumi.String("string"),
	Tags: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Timeout:    pulumi.Int(0),
	WorkerType: pulumi.String("string"),
})

    var jobResource = new Job("jobResource", JobArgs.builder()        
    .command(JobCommandArgs.builder()
        .scriptLocation("string")
        .name("string")
        .pythonVersion("string")
        .runtime("string")
        .build())
    .roleArn("string")
    .maxRetries(0)
    .name("string")
    .executionClass("string")
    .executionProperty(JobExecutionPropertyArgs.builder()
        .maxConcurrentRuns(0)
        .build())
    .glueVersion("string")
    .maxCapacity(0)
    .defaultArguments(Map.of("string", "string"))
    .description("string")
    .nonOverridableArguments(Map.of("string", "string"))
    .notificationProperty(JobNotificationPropertyArgs.builder()
        .notifyDelayAfter(0)
        .build())
    .numberOfWorkers(0)
    .connections("string")
    .securityConfiguration("string")
    .tags(Map.of("string", "string"))
    .timeout(0)
    .workerType("string")
    .build());

    job_resource = aws.glue.Job("jobResource",
    command=aws.glue.JobCommandArgs(
        script_location="string",
        name="string",
        python_version="string",
        runtime="string",
    ),
    role_arn="string",
    max_retries=0,
    name="string",
    execution_class="string",
    execution_property=aws.glue.JobExecutionPropertyArgs(
        max_concurrent_runs=0,
    ),
    glue_version="string",
    max_capacity=0,
    default_arguments={
        "string": "string",
    },
    description="string",
    non_overridable_arguments={
        "string": "string",
    },
    notification_property=aws.glue.JobNotificationPropertyArgs(
        notify_delay_after=0,
    ),
    number_of_workers=0,
    connections=["string"],
    security_configuration="string",
    tags={
        "string": "string",
    },
    timeout=0,
    worker_type="string")

    const jobResource = new aws.glue.Job("jobResource", {
    command: {
        scriptLocation: "string",
        name: "string",
        pythonVersion: "string",
        runtime: "string",
    },
    roleArn: "string",
    maxRetries: 0,
    name: "string",
    executionClass: "string",
    executionProperty: {
        maxConcurrentRuns: 0,
    },
    glueVersion: "string",
    maxCapacity: 0,
    defaultArguments: {
        string: "string",
    },
    description: "string",
    nonOverridableArguments: {
        string: "string",
    },
    notificationProperty: {
        notifyDelayAfter: 0,
    },
    numberOfWorkers: 0,
    connections: ["string"],
    securityConfiguration: "string",
    tags: {
        string: "string",
    },
    timeout: 0,
    workerType: "string",
});

    type: aws:glue:Job
properties:
    command:
        name: string
        pythonVersion: string
        runtime: string
        scriptLocation: string
    connections:
        - string
    defaultArguments:
        string: string
    description: string
    executionClass: string
    executionProperty:
        maxConcurrentRuns: 0
    glueVersion: string
    maxCapacity: 0
    maxRetries: 0
    name: string
    nonOverridableArguments:
        string: string
    notificationProperty:
        notifyDelayAfter: 0
    numberOfWorkers: 0
    roleArn: string
    securityConfiguration: string
    tags:
        string: string
    timeout: 0
    workerType: 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:

    Command JobCommand
    The command of the job. Defined below.
    RoleArn string
    The ARN of the IAM role associated with this job.
    Connections List<string>
    The list of connections used for this job.
    DefaultArguments Dictionary<string, string>
    The map of default arguments for this job. You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes. For information about how to specify and consume your own Job arguments, see the Calling AWS Glue APIs in Python topic in the developer guide. For information about the key-value pairs that AWS Glue consumes to set up your job, see the Special Parameters Used by AWS Glue topic in the developer guide.
    Description string
    Description of the job.
    ExecutionClass string
    Indicates whether the job is run with a standard or flexible execution class. The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources. Valid value: FLEX, STANDARD.
    ExecutionProperty JobExecutionProperty
    Execution property of the job. Defined below.
    GlueVersion string
    The version of glue to use, for example "1.0". Ray jobs should set this to 4.0 or greater. For information about available versions, see the AWS Glue Release Notes.
    MaxCapacity double
    The maximum number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. Required when pythonshell is set, accept either 0.0625 or 1.0. Use number_of_workers and worker_type arguments instead with glue_version 2.0 and above.
    MaxRetries int
    The maximum number of times to retry this job if it fails.
    Name string
    The name you assign to this job. It must be unique in your account.
    NonOverridableArguments Dictionary<string, string>
    Non-overridable arguments for this job, specified as name-value pairs.
    NotificationProperty JobNotificationProperty
    Notification property of the job. Defined below.
    NumberOfWorkers int
    The number of workers of a defined workerType that are allocated when a job runs.
    SecurityConfiguration string
    The name of the Security Configuration to be associated with the job.
    Tags Dictionary<string, string>
    Key-value map of resource tags. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    Timeout int
    The job timeout in minutes. The default is 2880 minutes (48 hours) for glueetl and pythonshell jobs, and null (unlimited) for gluestreaming jobs.
    WorkerType string
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

    • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    • For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for low volume streaming jobs. Only available for Glue version 3.0.
    • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPU, 64 GB of m emory, 128 GB disk), and provides up to 8 Ray workers based on the autoscaler.
    Command JobCommandArgs
    The command of the job. Defined below.
    RoleArn string
    The ARN of the IAM role associated with this job.
    Connections []string
    The list of connections used for this job.
    DefaultArguments map[string]string
    The map of default arguments for this job. You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes. For information about how to specify and consume your own Job arguments, see the Calling AWS Glue APIs in Python topic in the developer guide. For information about the key-value pairs that AWS Glue consumes to set up your job, see the Special Parameters Used by AWS Glue topic in the developer guide.
    Description string
    Description of the job.
    ExecutionClass string
    Indicates whether the job is run with a standard or flexible execution class. The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources. Valid value: FLEX, STANDARD.
    ExecutionProperty JobExecutionPropertyArgs
    Execution property of the job. Defined below.
    GlueVersion string
    The version of glue to use, for example "1.0". Ray jobs should set this to 4.0 or greater. For information about available versions, see the AWS Glue Release Notes.
    MaxCapacity float64
    The maximum number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. Required when pythonshell is set, accept either 0.0625 or 1.0. Use number_of_workers and worker_type arguments instead with glue_version 2.0 and above.
    MaxRetries int
    The maximum number of times to retry this job if it fails.
    Name string
    The name you assign to this job. It must be unique in your account.
    NonOverridableArguments map[string]string
    Non-overridable arguments for this job, specified as name-value pairs.
    NotificationProperty JobNotificationPropertyArgs
    Notification property of the job. Defined below.
    NumberOfWorkers int
    The number of workers of a defined workerType that are allocated when a job runs.
    SecurityConfiguration string
    The name of the Security Configuration to be associated with the job.
    Tags map[string]string
    Key-value map of resource tags. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    Timeout int
    The job timeout in minutes. The default is 2880 minutes (48 hours) for glueetl and pythonshell jobs, and null (unlimited) for gluestreaming jobs.
    WorkerType string
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

    • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    • For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for low volume streaming jobs. Only available for Glue version 3.0.
    • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPU, 64 GB of m emory, 128 GB disk), and provides up to 8 Ray workers based on the autoscaler.
    command JobCommand
    The command of the job. Defined below.
    roleArn String
    The ARN of the IAM role associated with this job.
    connections List<String>
    The list of connections used for this job.
    defaultArguments Map<String,String>
    The map of default arguments for this job. You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes. For information about how to specify and consume your own Job arguments, see the Calling AWS Glue APIs in Python topic in the developer guide. For information about the key-value pairs that AWS Glue consumes to set up your job, see the Special Parameters Used by AWS Glue topic in the developer guide.
    description String
    Description of the job.
    executionClass String
    Indicates whether the job is run with a standard or flexible execution class. The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources. Valid value: FLEX, STANDARD.
    executionProperty JobExecutionProperty
    Execution property of the job. Defined below.
    glueVersion String
    The version of glue to use, for example "1.0". Ray jobs should set this to 4.0 or greater. For information about available versions, see the AWS Glue Release Notes.
    maxCapacity Double
    The maximum number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. Required when pythonshell is set, accept either 0.0625 or 1.0. Use number_of_workers and worker_type arguments instead with glue_version 2.0 and above.
    maxRetries Integer
    The maximum number of times to retry this job if it fails.
    name String
    The name you assign to this job. It must be unique in your account.
    nonOverridableArguments Map<String,String>
    Non-overridable arguments for this job, specified as name-value pairs.
    notificationProperty JobNotificationProperty
    Notification property of the job. Defined below.
    numberOfWorkers Integer
    The number of workers of a defined workerType that are allocated when a job runs.
    securityConfiguration String
    The name of the Security Configuration to be associated with the job.
    tags Map<String,String>
    Key-value map of resource tags. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    timeout Integer
    The job timeout in minutes. The default is 2880 minutes (48 hours) for glueetl and pythonshell jobs, and null (unlimited) for gluestreaming jobs.
    workerType String
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

    • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    • For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for low volume streaming jobs. Only available for Glue version 3.0.
    • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPU, 64 GB of m emory, 128 GB disk), and provides up to 8 Ray workers based on the autoscaler.
    command JobCommand
    The command of the job. Defined below.
    roleArn string
    The ARN of the IAM role associated with this job.
    connections string[]
    The list of connections used for this job.
    defaultArguments {[key: string]: string}
    The map of default arguments for this job. You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes. For information about how to specify and consume your own Job arguments, see the Calling AWS Glue APIs in Python topic in the developer guide. For information about the key-value pairs that AWS Glue consumes to set up your job, see the Special Parameters Used by AWS Glue topic in the developer guide.
    description string
    Description of the job.
    executionClass string
    Indicates whether the job is run with a standard or flexible execution class. The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources. Valid value: FLEX, STANDARD.
    executionProperty JobExecutionProperty
    Execution property of the job. Defined below.
    glueVersion string
    The version of glue to use, for example "1.0". Ray jobs should set this to 4.0 or greater. For information about available versions, see the AWS Glue Release Notes.
    maxCapacity number
    The maximum number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. Required when pythonshell is set, accept either 0.0625 or 1.0. Use number_of_workers and worker_type arguments instead with glue_version 2.0 and above.
    maxRetries number
    The maximum number of times to retry this job if it fails.
    name string
    The name you assign to this job. It must be unique in your account.
    nonOverridableArguments {[key: string]: string}
    Non-overridable arguments for this job, specified as name-value pairs.
    notificationProperty JobNotificationProperty
    Notification property of the job. Defined below.
    numberOfWorkers number
    The number of workers of a defined workerType that are allocated when a job runs.
    securityConfiguration string
    The name of the Security Configuration to be associated with the job.
    tags {[key: string]: string}
    Key-value map of resource tags. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    timeout number
    The job timeout in minutes. The default is 2880 minutes (48 hours) for glueetl and pythonshell jobs, and null (unlimited) for gluestreaming jobs.
    workerType string
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

    • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    • For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for low volume streaming jobs. Only available for Glue version 3.0.
    • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPU, 64 GB of m emory, 128 GB disk), and provides up to 8 Ray workers based on the autoscaler.
    command JobCommandArgs
    The command of the job. Defined below.
    role_arn str
    The ARN of the IAM role associated with this job.
    connections Sequence[str]
    The list of connections used for this job.
    default_arguments Mapping[str, str]
    The map of default arguments for this job. You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes. For information about how to specify and consume your own Job arguments, see the Calling AWS Glue APIs in Python topic in the developer guide. For information about the key-value pairs that AWS Glue consumes to set up your job, see the Special Parameters Used by AWS Glue topic in the developer guide.
    description str
    Description of the job.
    execution_class str
    Indicates whether the job is run with a standard or flexible execution class. The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources. Valid value: FLEX, STANDARD.
    execution_property JobExecutionPropertyArgs
    Execution property of the job. Defined below.
    glue_version str
    The version of glue to use, for example "1.0". Ray jobs should set this to 4.0 or greater. For information about available versions, see the AWS Glue Release Notes.
    max_capacity float
    The maximum number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. Required when pythonshell is set, accept either 0.0625 or 1.0. Use number_of_workers and worker_type arguments instead with glue_version 2.0 and above.
    max_retries int
    The maximum number of times to retry this job if it fails.
    name str
    The name you assign to this job. It must be unique in your account.
    non_overridable_arguments Mapping[str, str]
    Non-overridable arguments for this job, specified as name-value pairs.
    notification_property JobNotificationPropertyArgs
    Notification property of the job. Defined below.
    number_of_workers int
    The number of workers of a defined workerType that are allocated when a job runs.
    security_configuration str
    The name of the Security Configuration to be associated with the job.
    tags Mapping[str, str]
    Key-value map of resource tags. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    timeout int
    The job timeout in minutes. The default is 2880 minutes (48 hours) for glueetl and pythonshell jobs, and null (unlimited) for gluestreaming jobs.
    worker_type str
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

    • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    • For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for low volume streaming jobs. Only available for Glue version 3.0.
    • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPU, 64 GB of m emory, 128 GB disk), and provides up to 8 Ray workers based on the autoscaler.
    command Property Map
    The command of the job. Defined below.
    roleArn String
    The ARN of the IAM role associated with this job.
    connections List<String>
    The list of connections used for this job.
    defaultArguments Map<String>
    The map of default arguments for this job. You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes. For information about how to specify and consume your own Job arguments, see the Calling AWS Glue APIs in Python topic in the developer guide. For information about the key-value pairs that AWS Glue consumes to set up your job, see the Special Parameters Used by AWS Glue topic in the developer guide.
    description String
    Description of the job.
    executionClass String
    Indicates whether the job is run with a standard or flexible execution class. The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources. Valid value: FLEX, STANDARD.
    executionProperty Property Map
    Execution property of the job. Defined below.
    glueVersion String
    The version of glue to use, for example "1.0". Ray jobs should set this to 4.0 or greater. For information about available versions, see the AWS Glue Release Notes.
    maxCapacity Number
    The maximum number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. Required when pythonshell is set, accept either 0.0625 or 1.0. Use number_of_workers and worker_type arguments instead with glue_version 2.0 and above.
    maxRetries Number
    The maximum number of times to retry this job if it fails.
    name String
    The name you assign to this job. It must be unique in your account.
    nonOverridableArguments Map<String>
    Non-overridable arguments for this job, specified as name-value pairs.
    notificationProperty Property Map
    Notification property of the job. Defined below.
    numberOfWorkers Number
    The number of workers of a defined workerType that are allocated when a job runs.
    securityConfiguration String
    The name of the Security Configuration to be associated with the job.
    tags Map<String>
    Key-value map of resource tags. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    timeout Number
    The job timeout in minutes. The default is 2880 minutes (48 hours) for glueetl and pythonshell jobs, and null (unlimited) for gluestreaming jobs.
    workerType String
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

    • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    • For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for low volume streaming jobs. Only available for Glue version 3.0.
    • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPU, 64 GB of m emory, 128 GB disk), and provides up to 8 Ray workers based on the autoscaler.

    Outputs

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

    Arn string
    Amazon Resource Name (ARN) of Glue Job
    Id string
    The provider-assigned unique ID for this managed resource.
    TagsAll Dictionary<string, string>
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    Arn string
    Amazon Resource Name (ARN) of Glue Job
    Id string
    The provider-assigned unique ID for this managed resource.
    TagsAll map[string]string
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    arn String
    Amazon Resource Name (ARN) of Glue Job
    id String
    The provider-assigned unique ID for this managed resource.
    tagsAll Map<String,String>
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    arn string
    Amazon Resource Name (ARN) of Glue Job
    id string
    The provider-assigned unique ID for this managed resource.
    tagsAll {[key: string]: string}
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    arn str
    Amazon Resource Name (ARN) of Glue Job
    id str
    The provider-assigned unique ID for this managed resource.
    tags_all Mapping[str, str]
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    arn String
    Amazon Resource Name (ARN) of Glue Job
    id String
    The provider-assigned unique ID for this managed resource.
    tagsAll Map<String>
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    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,
        arn: Optional[str] = None,
        command: Optional[JobCommandArgs] = None,
        connections: Optional[Sequence[str]] = None,
        default_arguments: Optional[Mapping[str, str]] = None,
        description: Optional[str] = None,
        execution_class: Optional[str] = None,
        execution_property: Optional[JobExecutionPropertyArgs] = None,
        glue_version: Optional[str] = None,
        max_capacity: Optional[float] = None,
        max_retries: Optional[int] = None,
        name: Optional[str] = None,
        non_overridable_arguments: Optional[Mapping[str, str]] = None,
        notification_property: Optional[JobNotificationPropertyArgs] = None,
        number_of_workers: Optional[int] = None,
        role_arn: Optional[str] = None,
        security_configuration: Optional[str] = None,
        tags: Optional[Mapping[str, str]] = None,
        tags_all: Optional[Mapping[str, str]] = None,
        timeout: Optional[int] = None,
        worker_type: Optional[str] = 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:
    Arn string
    Amazon Resource Name (ARN) of Glue Job
    Command JobCommand
    The command of the job. Defined below.
    Connections List<string>
    The list of connections used for this job.
    DefaultArguments Dictionary<string, string>
    The map of default arguments for this job. You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes. For information about how to specify and consume your own Job arguments, see the Calling AWS Glue APIs in Python topic in the developer guide. For information about the key-value pairs that AWS Glue consumes to set up your job, see the Special Parameters Used by AWS Glue topic in the developer guide.
    Description string
    Description of the job.
    ExecutionClass string
    Indicates whether the job is run with a standard or flexible execution class. The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources. Valid value: FLEX, STANDARD.
    ExecutionProperty JobExecutionProperty
    Execution property of the job. Defined below.
    GlueVersion string
    The version of glue to use, for example "1.0". Ray jobs should set this to 4.0 or greater. For information about available versions, see the AWS Glue Release Notes.
    MaxCapacity double
    The maximum number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. Required when pythonshell is set, accept either 0.0625 or 1.0. Use number_of_workers and worker_type arguments instead with glue_version 2.0 and above.
    MaxRetries int
    The maximum number of times to retry this job if it fails.
    Name string
    The name you assign to this job. It must be unique in your account.
    NonOverridableArguments Dictionary<string, string>
    Non-overridable arguments for this job, specified as name-value pairs.
    NotificationProperty JobNotificationProperty
    Notification property of the job. Defined below.
    NumberOfWorkers int
    The number of workers of a defined workerType that are allocated when a job runs.
    RoleArn string
    The ARN of the IAM role associated with this job.
    SecurityConfiguration string
    The name of the Security Configuration to be associated with the job.
    Tags Dictionary<string, string>
    Key-value map of resource tags. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    TagsAll Dictionary<string, string>
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    Timeout int
    The job timeout in minutes. The default is 2880 minutes (48 hours) for glueetl and pythonshell jobs, and null (unlimited) for gluestreaming jobs.
    WorkerType string
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

    • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    • For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for low volume streaming jobs. Only available for Glue version 3.0.
    • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPU, 64 GB of m emory, 128 GB disk), and provides up to 8 Ray workers based on the autoscaler.
    Arn string
    Amazon Resource Name (ARN) of Glue Job
    Command JobCommandArgs
    The command of the job. Defined below.
    Connections []string
    The list of connections used for this job.
    DefaultArguments map[string]string
    The map of default arguments for this job. You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes. For information about how to specify and consume your own Job arguments, see the Calling AWS Glue APIs in Python topic in the developer guide. For information about the key-value pairs that AWS Glue consumes to set up your job, see the Special Parameters Used by AWS Glue topic in the developer guide.
    Description string
    Description of the job.
    ExecutionClass string
    Indicates whether the job is run with a standard or flexible execution class. The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources. Valid value: FLEX, STANDARD.
    ExecutionProperty JobExecutionPropertyArgs
    Execution property of the job. Defined below.
    GlueVersion string
    The version of glue to use, for example "1.0". Ray jobs should set this to 4.0 or greater. For information about available versions, see the AWS Glue Release Notes.
    MaxCapacity float64
    The maximum number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. Required when pythonshell is set, accept either 0.0625 or 1.0. Use number_of_workers and worker_type arguments instead with glue_version 2.0 and above.
    MaxRetries int
    The maximum number of times to retry this job if it fails.
    Name string
    The name you assign to this job. It must be unique in your account.
    NonOverridableArguments map[string]string
    Non-overridable arguments for this job, specified as name-value pairs.
    NotificationProperty JobNotificationPropertyArgs
    Notification property of the job. Defined below.
    NumberOfWorkers int
    The number of workers of a defined workerType that are allocated when a job runs.
    RoleArn string
    The ARN of the IAM role associated with this job.
    SecurityConfiguration string
    The name of the Security Configuration to be associated with the job.
    Tags map[string]string
    Key-value map of resource tags. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    TagsAll map[string]string
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    Timeout int
    The job timeout in minutes. The default is 2880 minutes (48 hours) for glueetl and pythonshell jobs, and null (unlimited) for gluestreaming jobs.
    WorkerType string
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

    • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    • For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for low volume streaming jobs. Only available for Glue version 3.0.
    • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPU, 64 GB of m emory, 128 GB disk), and provides up to 8 Ray workers based on the autoscaler.
    arn String
    Amazon Resource Name (ARN) of Glue Job
    command JobCommand
    The command of the job. Defined below.
    connections List<String>
    The list of connections used for this job.
    defaultArguments Map<String,String>
    The map of default arguments for this job. You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes. For information about how to specify and consume your own Job arguments, see the Calling AWS Glue APIs in Python topic in the developer guide. For information about the key-value pairs that AWS Glue consumes to set up your job, see the Special Parameters Used by AWS Glue topic in the developer guide.
    description String
    Description of the job.
    executionClass String
    Indicates whether the job is run with a standard or flexible execution class. The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources. Valid value: FLEX, STANDARD.
    executionProperty JobExecutionProperty
    Execution property of the job. Defined below.
    glueVersion String
    The version of glue to use, for example "1.0". Ray jobs should set this to 4.0 or greater. For information about available versions, see the AWS Glue Release Notes.
    maxCapacity Double
    The maximum number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. Required when pythonshell is set, accept either 0.0625 or 1.0. Use number_of_workers and worker_type arguments instead with glue_version 2.0 and above.
    maxRetries Integer
    The maximum number of times to retry this job if it fails.
    name String
    The name you assign to this job. It must be unique in your account.
    nonOverridableArguments Map<String,String>
    Non-overridable arguments for this job, specified as name-value pairs.
    notificationProperty JobNotificationProperty
    Notification property of the job. Defined below.
    numberOfWorkers Integer
    The number of workers of a defined workerType that are allocated when a job runs.
    roleArn String
    The ARN of the IAM role associated with this job.
    securityConfiguration String
    The name of the Security Configuration to be associated with the job.
    tags Map<String,String>
    Key-value map of resource tags. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    tagsAll Map<String,String>
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    timeout Integer
    The job timeout in minutes. The default is 2880 minutes (48 hours) for glueetl and pythonshell jobs, and null (unlimited) for gluestreaming jobs.
    workerType String
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

    • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    • For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for low volume streaming jobs. Only available for Glue version 3.0.
    • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPU, 64 GB of m emory, 128 GB disk), and provides up to 8 Ray workers based on the autoscaler.
    arn string
    Amazon Resource Name (ARN) of Glue Job
    command JobCommand
    The command of the job. Defined below.
    connections string[]
    The list of connections used for this job.
    defaultArguments {[key: string]: string}
    The map of default arguments for this job. You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes. For information about how to specify and consume your own Job arguments, see the Calling AWS Glue APIs in Python topic in the developer guide. For information about the key-value pairs that AWS Glue consumes to set up your job, see the Special Parameters Used by AWS Glue topic in the developer guide.
    description string
    Description of the job.
    executionClass string
    Indicates whether the job is run with a standard or flexible execution class. The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources. Valid value: FLEX, STANDARD.
    executionProperty JobExecutionProperty
    Execution property of the job. Defined below.
    glueVersion string
    The version of glue to use, for example "1.0". Ray jobs should set this to 4.0 or greater. For information about available versions, see the AWS Glue Release Notes.
    maxCapacity number
    The maximum number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. Required when pythonshell is set, accept either 0.0625 or 1.0. Use number_of_workers and worker_type arguments instead with glue_version 2.0 and above.
    maxRetries number
    The maximum number of times to retry this job if it fails.
    name string
    The name you assign to this job. It must be unique in your account.
    nonOverridableArguments {[key: string]: string}
    Non-overridable arguments for this job, specified as name-value pairs.
    notificationProperty JobNotificationProperty
    Notification property of the job. Defined below.
    numberOfWorkers number
    The number of workers of a defined workerType that are allocated when a job runs.
    roleArn string
    The ARN of the IAM role associated with this job.
    securityConfiguration string
    The name of the Security Configuration to be associated with the job.
    tags {[key: string]: string}
    Key-value map of resource tags. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    tagsAll {[key: string]: string}
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    timeout number
    The job timeout in minutes. The default is 2880 minutes (48 hours) for glueetl and pythonshell jobs, and null (unlimited) for gluestreaming jobs.
    workerType string
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

    • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    • For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for low volume streaming jobs. Only available for Glue version 3.0.
    • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPU, 64 GB of m emory, 128 GB disk), and provides up to 8 Ray workers based on the autoscaler.
    arn str
    Amazon Resource Name (ARN) of Glue Job
    command JobCommandArgs
    The command of the job. Defined below.
    connections Sequence[str]
    The list of connections used for this job.
    default_arguments Mapping[str, str]
    The map of default arguments for this job. You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes. For information about how to specify and consume your own Job arguments, see the Calling AWS Glue APIs in Python topic in the developer guide. For information about the key-value pairs that AWS Glue consumes to set up your job, see the Special Parameters Used by AWS Glue topic in the developer guide.
    description str
    Description of the job.
    execution_class str
    Indicates whether the job is run with a standard or flexible execution class. The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources. Valid value: FLEX, STANDARD.
    execution_property JobExecutionPropertyArgs
    Execution property of the job. Defined below.
    glue_version str
    The version of glue to use, for example "1.0". Ray jobs should set this to 4.0 or greater. For information about available versions, see the AWS Glue Release Notes.
    max_capacity float
    The maximum number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. Required when pythonshell is set, accept either 0.0625 or 1.0. Use number_of_workers and worker_type arguments instead with glue_version 2.0 and above.
    max_retries int
    The maximum number of times to retry this job if it fails.
    name str
    The name you assign to this job. It must be unique in your account.
    non_overridable_arguments Mapping[str, str]
    Non-overridable arguments for this job, specified as name-value pairs.
    notification_property JobNotificationPropertyArgs
    Notification property of the job. Defined below.
    number_of_workers int
    The number of workers of a defined workerType that are allocated when a job runs.
    role_arn str
    The ARN of the IAM role associated with this job.
    security_configuration str
    The name of the Security Configuration to be associated with the job.
    tags Mapping[str, str]
    Key-value map of resource tags. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    tags_all Mapping[str, str]
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    timeout int
    The job timeout in minutes. The default is 2880 minutes (48 hours) for glueetl and pythonshell jobs, and null (unlimited) for gluestreaming jobs.
    worker_type str
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

    • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    • For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for low volume streaming jobs. Only available for Glue version 3.0.
    • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPU, 64 GB of m emory, 128 GB disk), and provides up to 8 Ray workers based on the autoscaler.
    arn String
    Amazon Resource Name (ARN) of Glue Job
    command Property Map
    The command of the job. Defined below.
    connections List<String>
    The list of connections used for this job.
    defaultArguments Map<String>
    The map of default arguments for this job. You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes. For information about how to specify and consume your own Job arguments, see the Calling AWS Glue APIs in Python topic in the developer guide. For information about the key-value pairs that AWS Glue consumes to set up your job, see the Special Parameters Used by AWS Glue topic in the developer guide.
    description String
    Description of the job.
    executionClass String
    Indicates whether the job is run with a standard or flexible execution class. The standard execution class is ideal for time-sensitive workloads that require fast job startup and dedicated resources. Valid value: FLEX, STANDARD.
    executionProperty Property Map
    Execution property of the job. Defined below.
    glueVersion String
    The version of glue to use, for example "1.0". Ray jobs should set this to 4.0 or greater. For information about available versions, see the AWS Glue Release Notes.
    maxCapacity Number
    The maximum number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. Required when pythonshell is set, accept either 0.0625 or 1.0. Use number_of_workers and worker_type arguments instead with glue_version 2.0 and above.
    maxRetries Number
    The maximum number of times to retry this job if it fails.
    name String
    The name you assign to this job. It must be unique in your account.
    nonOverridableArguments Map<String>
    Non-overridable arguments for this job, specified as name-value pairs.
    notificationProperty Property Map
    Notification property of the job. Defined below.
    numberOfWorkers Number
    The number of workers of a defined workerType that are allocated when a job runs.
    roleArn String
    The ARN of the IAM role associated with this job.
    securityConfiguration String
    The name of the Security Configuration to be associated with the job.
    tags Map<String>
    Key-value map of resource tags. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    tagsAll Map<String>
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Deprecated: Please use tags instead.

    timeout Number
    The job timeout in minutes. The default is 2880 minutes (48 hours) for glueetl and pythonshell jobs, and null (unlimited) for gluestreaming jobs.
    workerType String
    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, G.2X, or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

    • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
    • For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. Recommended for memory-intensive jobs.
    • For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPU, 4GB of memory, 64 GB disk), and provides 1 executor per worker. Recommended for low volume streaming jobs. Only available for Glue version 3.0.
    • For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPU, 64 GB of m emory, 128 GB disk), and provides up to 8 Ray workers based on the autoscaler.

    Supporting Types

    JobCommand, JobCommandArgs

    ScriptLocation string
    Specifies the S3 path to a script that executes a job.
    Name string
    The name of the job command. Defaults to glueetl. Use pythonshell for Python Shell Job Type, glueray for Ray Job Type, or gluestreaming for Streaming Job Type. max_capacity needs to be set if pythonshell is chosen.
    PythonVersion string
    The Python version being used to execute a Python shell job. Allowed values are 2, 3 or 3.9. Version 3 refers to Python 3.6.
    Runtime string
    In Ray jobs, runtime is used to specify the versions of Ray, Python and additional libraries available in your environment. This field is not used in other job types. For supported runtime environment values, see Working with Ray jobs in the Glue Developer Guide.
    ScriptLocation string
    Specifies the S3 path to a script that executes a job.
    Name string
    The name of the job command. Defaults to glueetl. Use pythonshell for Python Shell Job Type, glueray for Ray Job Type, or gluestreaming for Streaming Job Type. max_capacity needs to be set if pythonshell is chosen.
    PythonVersion string
    The Python version being used to execute a Python shell job. Allowed values are 2, 3 or 3.9. Version 3 refers to Python 3.6.
    Runtime string
    In Ray jobs, runtime is used to specify the versions of Ray, Python and additional libraries available in your environment. This field is not used in other job types. For supported runtime environment values, see Working with Ray jobs in the Glue Developer Guide.
    scriptLocation String
    Specifies the S3 path to a script that executes a job.
    name String
    The name of the job command. Defaults to glueetl. Use pythonshell for Python Shell Job Type, glueray for Ray Job Type, or gluestreaming for Streaming Job Type. max_capacity needs to be set if pythonshell is chosen.
    pythonVersion String
    The Python version being used to execute a Python shell job. Allowed values are 2, 3 or 3.9. Version 3 refers to Python 3.6.
    runtime String
    In Ray jobs, runtime is used to specify the versions of Ray, Python and additional libraries available in your environment. This field is not used in other job types. For supported runtime environment values, see Working with Ray jobs in the Glue Developer Guide.
    scriptLocation string
    Specifies the S3 path to a script that executes a job.
    name string
    The name of the job command. Defaults to glueetl. Use pythonshell for Python Shell Job Type, glueray for Ray Job Type, or gluestreaming for Streaming Job Type. max_capacity needs to be set if pythonshell is chosen.
    pythonVersion string
    The Python version being used to execute a Python shell job. Allowed values are 2, 3 or 3.9. Version 3 refers to Python 3.6.
    runtime string
    In Ray jobs, runtime is used to specify the versions of Ray, Python and additional libraries available in your environment. This field is not used in other job types. For supported runtime environment values, see Working with Ray jobs in the Glue Developer Guide.
    script_location str
    Specifies the S3 path to a script that executes a job.
    name str
    The name of the job command. Defaults to glueetl. Use pythonshell for Python Shell Job Type, glueray for Ray Job Type, or gluestreaming for Streaming Job Type. max_capacity needs to be set if pythonshell is chosen.
    python_version str
    The Python version being used to execute a Python shell job. Allowed values are 2, 3 or 3.9. Version 3 refers to Python 3.6.
    runtime str
    In Ray jobs, runtime is used to specify the versions of Ray, Python and additional libraries available in your environment. This field is not used in other job types. For supported runtime environment values, see Working with Ray jobs in the Glue Developer Guide.
    scriptLocation String
    Specifies the S3 path to a script that executes a job.
    name String
    The name of the job command. Defaults to glueetl. Use pythonshell for Python Shell Job Type, glueray for Ray Job Type, or gluestreaming for Streaming Job Type. max_capacity needs to be set if pythonshell is chosen.
    pythonVersion String
    The Python version being used to execute a Python shell job. Allowed values are 2, 3 or 3.9. Version 3 refers to Python 3.6.
    runtime String
    In Ray jobs, runtime is used to specify the versions of Ray, Python and additional libraries available in your environment. This field is not used in other job types. For supported runtime environment values, see Working with Ray jobs in the Glue Developer Guide.

    JobExecutionProperty, JobExecutionPropertyArgs

    MaxConcurrentRuns int
    The maximum number of concurrent runs allowed for a job. The default is 1.
    MaxConcurrentRuns int
    The maximum number of concurrent runs allowed for a job. The default is 1.
    maxConcurrentRuns Integer
    The maximum number of concurrent runs allowed for a job. The default is 1.
    maxConcurrentRuns number
    The maximum number of concurrent runs allowed for a job. The default is 1.
    max_concurrent_runs int
    The maximum number of concurrent runs allowed for a job. The default is 1.
    maxConcurrentRuns Number
    The maximum number of concurrent runs allowed for a job. The default is 1.

    JobNotificationProperty, JobNotificationPropertyArgs

    NotifyDelayAfter int
    After a job run starts, the number of minutes to wait before sending a job run delay notification.
    NotifyDelayAfter int
    After a job run starts, the number of minutes to wait before sending a job run delay notification.
    notifyDelayAfter Integer
    After a job run starts, the number of minutes to wait before sending a job run delay notification.
    notifyDelayAfter number
    After a job run starts, the number of minutes to wait before sending a job run delay notification.
    notify_delay_after int
    After a job run starts, the number of minutes to wait before sending a job run delay notification.
    notifyDelayAfter Number
    After a job run starts, the number of minutes to wait before sending a job run delay notification.

    Import

    Using pulumi import, import Glue Jobs using name. For example:

    $ pulumi import aws:glue/job:Job MyJob MyJob

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

    Package Details

    Repository
    AWS Classic pulumi/pulumi-aws
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the aws Terraform Provider.
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    Try AWS Native preview for resources not in the classic version.

    AWS Classic v6.31.1 published on Thursday, Apr 18, 2024 by Pulumi
    pulumi/pulumi-aws