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Class: Aws::GlueDataBrew::Types::JobRepresents all of the attributes of an AWS Glue DataBrew job.
Instance Attribute Summary collapseThe ID of the AWS account that owns the job.
The date and time that the job was created.
The identifier (the user name) of the user who created the job.
A dataset that the job is to process.
The Amazon Resource Name (ARN) of an encryption key that is used to protect a job.
The encryption mode for the job, which can be one of the following:.
The identifier (the user name) of the user who last modified the job.
The modification date and time of the job.
The current status of Amazon CloudWatch logging for the job.
The maximum number of nodes that can be consumed when the job processes data.
The maximum number of times to retry the job after a job run fails.
The unique name of the job.
One or more artifacts that represent output from running the job.
The name of the project that the job is associated with.
A set of steps that the job runs.
The unique Amazon Resource Name (ARN) for the job.
The Amazon Resource Name (ARN) of the role that will be assumed for this job.
Metadata tags that have been applied to the job.
The job\'s timeout in minutes.
The job type of the job, which must be one of the following:.
The ID of the AWS account that owns the job.
#create_date ⇒ TimeThe date and time that the job was created.
#created_by ⇒ StringThe identifier (the user name) of the user who created the job.
#dataset_name ⇒ StringA dataset that the job is to process.
#encryption_key_arn ⇒ StringThe Amazon Resource Name (ARN) of an encryption key that is used to protect a job.
#encryption_mode ⇒ StringThe encryption mode for the job, which can be one of the following:
SSE-KMS
- Server-side encryption with AWS KMS-managed keys.
SSE-S3
- Server-side encryption with keys managed by Amazon S3.
Possible values:
The identifier (the user name) of the user who last modified the job.
#last_modified_date ⇒ TimeThe modification date and time of the job.
#log_subscription ⇒ StringThe current status of Amazon CloudWatch logging for the job.
Possible values:
The maximum number of nodes that can be consumed when the job processes data.
#max_retries ⇒ IntegerThe maximum number of times to retry the job after a job run fails.
#name ⇒ StringThe unique name of the job.
#outputs ⇒ Array<Types::Output>One or more artifacts that represent output from running the job.
#project_name ⇒ StringThe name of the project that the job is associated with.
#resource_arn ⇒ StringThe unique Amazon Resource Name (ARN) for the job.
#role_arn ⇒ StringThe Amazon Resource Name (ARN) of the role that will be assumed for this job.
#tags ⇒ Hash<String,String>Metadata tags that have been applied to the job.
#timeout ⇒ IntegerThe job\'s timeout in minutes. A job that attempts to run longer than this timeout period ends with a status of TIMEOUT
.
The job type of the job, which must be one of the following:
PROFILE
- A job to analyze a dataset, to determine its size, data types, data distribution, and more.
RECIPE
- A job to apply one or more transformations to a dataset.
Possible values:
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