JobUpdate

Specifies information used to update an existing job definition. The previous job definition is completely overwritten by this information.

AllocatedCapacity

This field is deprecated. Use MaxCapacity instead.

The number of AWS Glue data processing units (DPUs) to allocate to this job. You can allocate a minimum of 2 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the AWS Glue pricing page.

Type: Integer

Required: No

CodeGenConfigurationNodes

The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.

Type: String to CodeGenConfigurationNode object map

Key Pattern: [A-Za-z0-9_-]*

Required: No

Command

The JobCommand that runs this job (required).

Type: JobCommand object

Required: No

Connections

The connections used for this job.

Type: ConnectionsList object

Required: No

DefaultArguments

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

You can specify arguments here that your own job-execution script consumes, as well as arguments that AWS Glue itself consumes.

Job arguments may be logged. Do not pass plaintext secrets as arguments. Retrieve secrets from a AWS Glue Connection, AWS Secrets Manager or other secret management mechanism if you intend to keep them within the Job.

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 arguments you can provide to this field when configuring Spark jobs, see the Special Parameters Used by AWS Glue topic in the developer guide.

For information about the arguments you can provide to this field when configuring Ray jobs, see Using job parameters in Ray jobs in the developer guide.

Type: String to string map

Required: No

Description

Description of the job being defined.

Type: String

Length Constraints: Minimum length of 0. Maximum length of 2048.

Pattern: [\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\r\n\t]*

Required: No

ExecutionClass

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.

Type: String

Length Constraints: Maximum length of 16.

Valid Values: FLEX | STANDARD

Required: No

ExecutionProperty

An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.

Type: ExecutionProperty object

Required: No

GlueVersion

In Spark jobs, GlueVersion determines the versions of Apache Spark and Python that AWS Glue available in a job. The Python version indicates the version supported for jobs of type Spark.

Ray jobs should set GlueVersion to 4.0 or greater. However, the versions of Ray, Python and additional libraries available in your Ray job are determined by the Runtime parameter of the Job command.

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 Glue 0.9.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 255.

Pattern: ^\w+\.\w+$

Required: No

JobMode

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.

Type: String

Valid Values: SCRIPT | VISUAL | NOTEBOOK

Required: No

JobRunQueuingEnabled

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.

Type: Boolean

Required: No

LogUri

This field is reserved for future use.

Type: String

Required: No

MaintenanceWindow

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.

Type: String

Pattern: ^(Sun|Mon|Tue|Wed|Thu|Fri|Sat):([01]?[0-9]|2[0-3])$

Required: No

MaxCapacity

For Glue version 1.0 or earlier jobs, using the standard worker type, 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. For more information, see the AWS Glue pricing page.

For Glue version 2.0+ jobs, you cannot specify a Maximum capacity. Instead, you should specify a Worker type and the Number of workers.

Do not set MaxCapacity if using WorkerType and NumberOfWorkers.

The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming 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") or Apache Spark streaming ETL job (JobCommand.Name="gluestreaming"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.

Type: Double

Required: No

MaxRetries

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

Type: Integer

Required: No

NonOverridableArguments

Arguments for this job that are not overridden when providing job arguments in a job run, specified as name-value pairs.

Type: String to string map

Required: No

NotificationProperty

Specifies the configuration properties of a job notification.

Type: NotificationProperty object

Required: No

NumberOfWorkers

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

Type: Integer

Required: No

Role

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

Type: String

Required: No

SecurityConfiguration

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

Type: String

Length Constraints: Minimum length of 1. Maximum length of 255.

Pattern: [\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\t]*

Required: No

SourceControlDetails

The details for a source control configuration for a job, allowing synchronization of job artifacts to or from a remote repository.

Type: SourceControlDetails object

Required: No

Timeout

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) for batch jobs.

Streaming jobs must have timeout values less than 7 days or 10080 minutes. When the value is left blank, the job will be restarted after 7 days based if you have not setup a maintenance window. If you have setup maintenance window, it will be restarted during the maintenance window after 7 days.

Type: Integer

Valid Range: Minimum value of 1.

Required: No

WorkerType

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.

Type: String

Valid Values: Standard | G.1X | G.2X | G.025X | G.4X | G.8X | Z.2X

Required: No

JobUpdate

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