interface CfnJobProps

Language	Type name
.NET	`Amazon.CDK.AWS.Glue.CfnJobProps`
Go	`github.com/aws/aws-cdk-go/awscdk/v2/awsglue#CfnJobProps`
Java	`software.amazon.awscdk.services.glue.CfnJobProps`
Python	`aws_cdk.aws_glue.CfnJobProps`
TypeScript	`aws-cdk-lib` » `aws_glue` » `CfnJobProps`

Properties for defining a CfnJob.

Example

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_glue as glue } from 'aws-cdk-lib';

declare const defaultArguments: any;
declare const nonOverridableArguments: any;
declare const tags: any;
const cfnJobProps: glue.CfnJobProps = {
  command: {
    name: 'name',
    pythonVersion: 'pythonVersion',
    runtime: 'runtime',
    scriptLocation: 'scriptLocation',
  },
  role: 'role',

  // the properties below are optional
  allocatedCapacity: 123,
  connections: {
    connections: ['connections'],
  },
  defaultArguments: defaultArguments,
  description: 'description',
  executionClass: 'executionClass',
  executionProperty: {
    maxConcurrentRuns: 123,
  },
  glueVersion: 'glueVersion',
  jobMode: 'jobMode',
  jobRunQueuingEnabled: false,
  logUri: 'logUri',
  maintenanceWindow: 'maintenanceWindow',
  maxCapacity: 123,
  maxRetries: 123,
  name: 'name',
  nonOverridableArguments: nonOverridableArguments,
  notificationProperty: {
    notifyDelayAfter: 123,
  },
  numberOfWorkers: 123,
  securityConfiguration: 'securityConfiguration',
  tags: tags,
  timeout: 123,
  workerType: 'workerType',
};

Properties

Name	Type	Description
command	`IResolvable` `\|` `JobCommandProperty`	The code that executes a job.
role	`string`	The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
allocatedCapacity?	`number`	This parameter is no longer supported. Use `MaxCapacity` instead.
connections?	`IResolvable` `\|` `ConnectionsListProperty`	The connections used for this job.
defaultArguments?	`any`	The default arguments for this job, specified as name-value pairs.
description?	`string`	A description of the job.
executionClass?	`string`	Indicates whether the job is run with a standard or flexible execution class.
executionProperty?	`IResolvable` `\|` `ExecutionPropertyProperty`	The maximum number of concurrent runs that are allowed for this job.
glueVersion?	`string`	Glue version determines the versions of Apache Spark and Python that AWS Glue supports.
jobMode?	`string`	A mode that describes how a job was created. Valid values are:.
jobRunQueuingEnabled?	`boolean \|` `IResolvable`	Specifies whether job run queuing is enabled for the job runs for this job.
logUri?	`string`	This field is reserved for future use.
maintenanceWindow?	`string`	This field specifies a day of the week and hour for a maintenance window for streaming jobs.
maxCapacity?	`number`	The number of AWS Glue data processing units (DPUs) that can be allocated when this job runs.
maxRetries?	`number`	The maximum number of times to retry this job after a JobRun fails.
name?	`string`	The name you assign to this job definition.
nonOverridableArguments?	`any`	Non-overridable arguments for this job, specified as name-value pairs.
notificationProperty?	`IResolvable` `\|` `NotificationPropertyProperty`	Specifies configuration properties of a notification.
numberOfWorkers?	`number`	The number of workers of a defined `workerType` that are allocated when a job runs.
securityConfiguration?	`string`	The name of the `SecurityConfiguration` structure to be used with this job.
tags?	`any`	The tags to use with this job.
timeout?	`number`	The job timeout in minutes.
workerType?	`string`	The type of predefined worker that is allocated when a job runs.

command

Type: IResolvable | JobCommandProperty

The code that executes a job.

role

Type: string

The name or Amazon Resource Name (ARN) of the IAM role associated with this job.

allocatedCapacity?

Type: number (optional)

This parameter is no longer supported. Use MaxCapacity instead.

The number of capacity units that are allocated to this job.

connections?

Type: IResolvable | ConnectionsListProperty (optional)

The connections used for this job.

defaultArguments?

Type: any (optional)

The default arguments for this job, specified as name-value pairs.

You can specify arguments here that your own job-execution script consumes, in addition to arguments that AWS Glue itself consumes.

For information about how to specify and consume your own job arguments, see Calling AWS Glue APIs in Python in the AWS Glue Developer Guide .

For information about the key-value pairs that AWS Glue consumes to set up your job, see Special Parameters Used by AWS Glue in the AWS Glue Developer Guide .

description?

Type: string (optional)

A description of the job.

executionClass?

Type: string (optional)

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.

The flexible execution class is appropriate for time-insensitive jobs whose start and completion times may vary.

Only jobs with AWS Glue version 3.0 and above and command type glueetl will be allowed to set ExecutionClass to FLEX . The flexible execution class is available for Spark jobs.

executionProperty?

Type: IResolvable | ExecutionPropertyProperty (optional)

The maximum number of concurrent runs that are allowed for this job.

glueVersion?

Type: string (optional)

Glue version determines the versions of Apache Spark and Python that AWS Glue supports.

The Python version indicates the version supported for jobs of type Spark.

For more information about the available AWS Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.

Jobs that are created without specifying a Glue version default to the latest Glue version available.

jobMode?

Type: string (optional)

A mode that describes how a job was created. Valid values are:.

SCRIPT - The job was created using the AWS Glue Studio script editor.
VISUAL - The job was created using the AWS Glue Studio visual editor.
NOTEBOOK - The job was created using an interactive sessions notebook.

When the JobMode field is missing or null, SCRIPT is assigned as the default value.

jobRunQueuingEnabled?

Type: boolean | IResolvable (optional)

Specifies whether job run queuing is enabled for the job runs for this job.

A value of true means job run queuing is enabled for the job runs. If false or not populated, the job runs will not be considered for queueing.

If this field does not match the value set in the job run, then the value from the job run field will be used.

logUri?

Type: string (optional)

This field is reserved for future use.

maintenanceWindow?

Type: string (optional)

This field specifies a day of the week and hour for a maintenance window for streaming jobs.

AWS Glue periodically performs maintenance activities. During these maintenance windows, AWS Glue will need to restart your streaming jobs.

AWS Glue will restart the job within 3 hours of the specified maintenance window. For instance, if you set up the maintenance window for Monday at 10:00AM GMT, your jobs will be restarted between 10:00AM GMT to 1:00PM GMT.

maxCapacity?

Type: number (optional)

The number of AWS Glue data processing units (DPUs) that can be allocated when this job runs.

A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory.

Do not set Max Capacity if using WorkerType and NumberOfWorkers .

The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job or an Apache Spark ETL job:

When you specify a Python shell job ( JobCommand.Name ="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.
When you specify an Apache Spark ETL job ( JobCommand.Name ="glueetl"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.

maxRetries?

Type: number (optional)

The maximum number of times to retry this job after a JobRun fails.

name?

Type: string (optional)

The name you assign to this job definition.

nonOverridableArguments?

Type: any (optional)

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

notificationProperty?

Type: IResolvable | NotificationPropertyProperty (optional)

Specifies configuration properties of a notification.

numberOfWorkers?

Type: number (optional)

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

The maximum number of workers you can define are 299 for G.1X , and 149 for G.2X .

securityConfiguration?

Type: string (optional)

The name of the SecurityConfiguration structure to be used with this job.

tags?

Type: any (optional)

The tags to use with this job.

timeout?

Type: number (optional)

The job timeout in minutes.

This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).

workerType?

Type: string (optional)

The type of predefined worker that is allocated when a job runs.

Accepts a value of G.1X, G.2X, G.4X, G.8X or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.

For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 128GB disk (approximately 77GB free), and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk (approximately 235GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for AWS Glue version 3.0 or later Spark ETL jobs in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).
For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk (approximately 487GB free), and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for AWS Glue version 3.0 or later Spark ETL jobs, in the same AWS Regions as supported for the G.4X worker type.
For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPUs, 4 GB of memory) with 84GB disk (approximately 34GB free), and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for AWS Glue version 3.0 streaming jobs.
For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk (approximately 120GB free), and provides up to 8 Ray workers based on the autoscaler.