pulumi-aws-kotlin/com.pulumi.aws.glue.kotlin/Job

Job

class Job : KotlinCustomResource

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

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()
            .roleArn(aws_iam_role.example().arn())
            .command(JobCommandArgs.builder()
                .scriptLocation(String.format("s3://%s/example.py", aws_s3_bucket.example().bucket()))
                .build())
            .build());
    }
}
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Ray Job

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()
            .roleArn(aws_iam_role.example().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", aws_s3_bucket.example().bucket()))
                .build())
            .build());
    }
}
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Scala Job

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()
            .roleArn(aws_iam_role.example().arn())
            .command(JobCommandArgs.builder()
                .scriptLocation(String.format("s3://%s/example.scala", aws_s3_bucket.example().bucket()))
                .build())
            .defaultArguments(Map.of("--job-language", "scala"))
            .build());
    }
}
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Streaming Job

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()
            .roleArn(aws_iam_role.example().arn())
            .command(JobCommandArgs.builder()
                .name("gluestreaming")
                .scriptLocation(String.format("s3://%s/example.script", aws_s3_bucket.example().bucket()))
                .build())
            .build());
    }
}
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Enabling CloudWatch Logs and 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 exampleLogGroup = new LogGroup("exampleLogGroup", LogGroupArgs.builder()
            .retentionInDays(14)
            .build());
        var exampleJob = new Job("exampleJob", JobArgs.builder()
            .defaultArguments(Map.ofEntries(
                Map.entry("--continuous-log-logGroup", exampleLogGroup.name()),
                Map.entry("--enable-continuous-cloudwatch-log", "true"),
                Map.entry("--enable-continuous-log-filter", "true"),
                Map.entry("--enable-metrics", "")
            ))
            .build());
    }
}
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Import

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

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

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val arn: Output<String>

Amazon Resource Name (ARN) of Glue Job

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val command: Output<JobCommand>

The command of the job. Defined below.

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val connections: Output<List<String>>?

The list of connections used for this job.

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val defaultArguments: Output<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.

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val description: Output<String>?

Description of the job.

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val executionClass: Output<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.

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val executionProperty: Output<JobExecutionProperty>

Execution property of the job. Defined below.

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val glueVersion: Output<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.

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val id: Output<String>
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val maxCapacity: Output<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.

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val maxRetries: Output<Int>?

The maximum number of times to retry this job if it fails.

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val name: Output<String>

The name you assign to this job. It must be unique in your account.

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val nonOverridableArguments: Output<Map<String, String>>?

Non-overridable arguments for this job, specified as name-value pairs.

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val notificationProperty: Output<JobNotificationProperty>

Notification property of the job. Defined below.

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val numberOfWorkers: Output<Int>?

The number of workers of a defined workerType that are allocated when a job runs.

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val pulumiChildResources: Set<KotlinResource>
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val roleArn: Output<String>

The ARN of the IAM role associated with this job.

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val securityConfiguration: Output<String>?

The name of the Security Configuration to be associated with the job.

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val tags: Output<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.

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val tagsAll: Output<Map<String, String>>

A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

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val timeout: Output<Int>

The job timeout in minutes. The default is 2880 minutes (48 hours) for glueetl and pythonshell jobs, and null (unlimited) for gluestreaming jobs.

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val urn: Output<String>
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val workerType: Output<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.