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aws_sagemaker_processingjob

`account_id`

Type: STRING

`app_specification`

Type: STRUCT
Provider name: AppSpecification
Description: Configures the processing job to run a specified container image.

container_arguments
Type: UNORDERED_LIST_STRING
Provider name: ContainerArguments
Description: The arguments for a container used to run a processing job.
container_entrypoint
Type: UNORDERED_LIST_STRING
Provider name: ContainerEntrypoint
Description: The entrypoint for a container used to run a processing job.
image_uri
Type: STRING
Provider name: ImageUri
Description: The container image to be run by the processing job.

`auto_ml_job_arn`

Type: STRING
Provider name: AutoMLJobArn
Description: The ARN of an AutoML job associated with this processing job.

`creation_time`

Type: TIMESTAMP
Provider name: CreationTime
Description: The time at which the processing job was created.

`environment`

Type: MAP_STRING_STRING
Provider name: Environment
Description: The environment variables set in the Docker container.

`exit_message`

Type: STRING
Provider name: ExitMessage
Description: An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.

`experiment_config`

Type: STRUCT
Provider name: ExperimentConfig
Description: The configuration information used to create an experiment.

experiment_name
Type: STRING
Provider name: ExperimentName
Description: The name of an existing experiment to associate with the trial component.
run_name
Type: STRING
Provider name: RunName
Description: The name of the experiment run to associate with the trial component.
trial_component_display_name
Type: STRING
Provider name: TrialComponentDisplayName
Description: The display name for the trial component. If this key isn’t specified, the display name is the trial component name.
trial_name
Type: STRING
Provider name: TrialName
Description: The name of an existing trial to associate the trial component with. If not specified, a new trial is created.

`failure_reason`

Type: STRING
Provider name: FailureReason
Description: A string, up to one KB in size, that contains the reason a processing job failed, if it failed.

`last_modified_time`

Type: TIMESTAMP
Provider name: LastModifiedTime
Description: The time at which the processing job was last modified.

`monitoring_schedule_arn`

Type: STRING
Provider name: MonitoringScheduleArn
Description: The ARN of a monitoring schedule for an endpoint associated with this processing job.

`network_config`

Type: STRUCT
Provider name: NetworkConfig
Description: Networking options for a processing job.

enable_inter_container_traffic_encryption
Type: BOOLEAN
Provider name: EnableInterContainerTrafficEncryption
Description: Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.
enable_network_isolation
Type: BOOLEAN
Provider name: EnableNetworkIsolation
Description: Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
vpc_config
Type: STRUCT
Provider name: VpcConfig
- security_group_ids
  Type: UNORDERED_LIST_STRING
  Provider name: SecurityGroupIds
  Description: The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.
- subnets
  Type: UNORDERED_LIST_STRING
  Provider name: Subnets
  Description: The ID of the subnets in the VPC to which you want to connect your training job or model. For information about the availability of specific instance types, see Supported Instance Types and Availability Zones.

`processing_end_time`

Type: TIMESTAMP
Provider name: ProcessingEndTime
Description: The time at which the processing job completed.

`processing_inputs`

Type: UNORDERED_LIST_STRUCT
Provider name: ProcessingInputs
Description: The inputs for a processing job.

app_managed
Type: BOOLEAN
Provider name: AppManaged
Description: When True, input operations such as data download are managed natively by the processing job application. When False (default), input operations are managed by Amazon SageMaker.
dataset_definition
Type: STRUCT
Provider name: DatasetDefinition
Description: Configuration for a Dataset Definition input.
- athena_dataset_definition
  Type: STRUCT
  Provider name: AthenaDatasetDefinition
  - catalog
    Type: STRING
    Provider name: Catalog
  - database
    Type: STRING
    Provider name: Database
  - kms_key_id
    Type: STRING
    Provider name: KmsKeyId
    Description: The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data generated from an Athena query execution.
  - output_compression
    Type: STRING
    Provider name: OutputCompression
  - output_format
    Type: STRING
    Provider name: OutputFormat
  - output_s3_uri
    Type: STRING
    Provider name: OutputS3Uri
    Description: The location in Amazon S3 where Athena query results are stored.
  - query_string
    Type: STRING
    Provider name: QueryString
  - work_group
    Type: STRING
    Provider name: WorkGroup
- data_distribution_type
  Type: STRING
  Provider name: DataDistributionType
  Description: Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
- input_mode
  Type: STRING
  Provider name: InputMode
  Description: Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
- local_path
  Type: STRING
  Provider name: LocalPath
  Description: The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when AppManaged is False (default).
- redshift_dataset_definition
  Type: STRUCT
  Provider name: RedshiftDatasetDefinition
  - cluster_id
    Type: STRING
    Provider name: ClusterId
  - cluster_role_arn
    Type: STRING
    Provider name: ClusterRoleArn
    Description: The IAM role attached to your Redshift cluster that Amazon SageMaker uses to generate datasets.
  - database
    Type: STRING
    Provider name: Database
  - db_user
    Type: STRING
    Provider name: DbUser
  - kms_key_id
    Type: STRING
    Provider name: KmsKeyId
    Description: The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data from a Redshift execution.
  - output_compression
    Type: STRING
    Provider name: OutputCompression
  - output_format
    Type: STRING
    Provider name: OutputFormat
  - output_s3_uri
    Type: STRING
    Provider name: OutputS3Uri
    Description: The location in Amazon S3 where the Redshift query results are stored.
  - query_string
    Type: STRING
    Provider name: QueryString
input_name
Type: STRING
Provider name: InputName
Description: The name for the processing job input.
s3_input
Type: STRUCT
Provider name: S3Input
Description: Configuration for downloading input data from Amazon S3 into the processing container.
- local_path
  Type: STRING
  Provider name: LocalPath
  Description: The local path in your container where you want Amazon SageMaker to write input data to. LocalPath is an absolute path to the input data and must begin with /opt/ml/processing/. LocalPath is a required parameter when AppManaged is False (default).
- s3_compression_type
  Type: STRING
  Provider name: S3CompressionType
  Description: Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container. Gzip can only be used when Pipe mode is specified as the S3InputMode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your container without using the EBS volume.
- s3_data_distribution_type
  Type: STRING
  Provider name: S3DataDistributionType
  Description: Whether to distribute the data from Amazon S3 to all processing instances with FullyReplicated, or whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing instance.
- s3_data_type
  Type: STRING
  Provider name: S3DataType
  Description: Whether you use an S3Prefix or a ManifestFile for the data type. If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for the processing job. If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for the processing job.
- s3_input_mode
  Type: STRING
  Provider name: S3InputMode
  Description: Whether to use File or Pipe input mode. In File mode, Amazon SageMaker copies the data from the input source onto the local ML storage volume before starting your processing container. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your processing container into named pipes without using the ML storage volume.
- s3_uri
  Type: STRING
  Provider name: S3Uri
  Description: The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.

`processing_job_arn`

Type: STRING
Provider name: ProcessingJobArn
Description: The Amazon Resource Name (ARN) of the processing job.

`processing_job_name`

Type: STRING
Provider name: ProcessingJobName
Description: The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.

`processing_job_status`

Type: STRING
Provider name: ProcessingJobStatus
Description: Provides the status of a processing job.

`processing_output_config`

Type: STRUCT
Provider name: ProcessingOutputConfig
Description: Output configuration for the processing job.

kms_key_id
Type: STRING
Provider name: KmsKeyId
Description: The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the processing job output. KmsKeyId can be an ID of a KMS key, ARN of a KMS key, or alias of a KMS key. The KmsKeyId is applied to all outputs.
outputs
Type: UNORDERED_LIST_STRUCT
Provider name: Outputs
Description: An array of outputs configuring the data to upload from the processing container.
- app_managed
  Type: BOOLEAN
  Provider name: AppManaged
  Description: When True, output operations such as data upload are managed natively by the processing job application. When False (default), output operations are managed by Amazon SageMaker.
- feature_store_output
  Type: STRUCT
  Provider name: FeatureStoreOutput
  Description: Configuration for processing job outputs in Amazon SageMaker Feature Store. This processing output type is only supported when AppManaged is specified.
  - feature_group_name
    Type: STRING
    Provider name: FeatureGroupName
    Description: The name of the Amazon SageMaker FeatureGroup to use as the destination for processing job output. Note that your processing script is responsible for putting records into your Feature Store.
- output_name
  Type: STRING
  Provider name: OutputName
  Description: The name for the processing job output.
- s3_output
  Type: STRUCT
  Provider name: S3Output
  Description: Configuration for processing job outputs in Amazon S3.
  - local_path
    Type: STRING
    Provider name: LocalPath
    Description: The local path of a directory where you want Amazon SageMaker to upload its contents to Amazon S3. LocalPath is an absolute path to a directory containing output files. This directory will be created by the platform and exist when your container’s entrypoint is invoked.
  - s3_upload_mode
    Type: STRING
    Provider name: S3UploadMode
    Description: Whether to upload the results of the processing job continuously or after the job completes.
  - s3_uri
    Type: STRING
    Provider name: S3Uri
    Description: A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing job.

`processing_resources`

Type: STRUCT
Provider name: ProcessingResources
Description: Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.

cluster_config
Type: STRUCT
Provider name: ClusterConfig
Description: The configuration for the resources in a cluster used to run the processing job.
- instance_count
  Type: INT32
  Provider name: InstanceCount
  Description: The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
- instance_type
  Type: STRING
  Provider name: InstanceType
  Description: The ML compute instance type for the processing job.
- volume_kms_key_id
  Type: STRING
  Provider name: VolumeKmsKeyId
  Description: The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job. Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can’t request a VolumeKmsKeyId when using an instance type with local storage. For a list of instance types that support local instance storage, see Instance Store Volumes. For more information about local instance storage encryption, see SSD Instance Store Volumes.
- volume_size_in_gb
  Type: INT32
  Provider name: VolumeSizeInGB
  Description: The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario. Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for processing, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can’t request a VolumeSizeInGB greater than the total size of the local instance storage. For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.

`processing_start_time`

Type: TIMESTAMP
Provider name: ProcessingStartTime
Description: The time at which the processing job started.

`role_arn`

Type: STRING
Provider name: RoleArn
Description: The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.

`stopping_condition`

Type: STRUCT
Provider name: StoppingCondition
Description: The time limit for how long the processing job is allowed to run.

max_runtime_in_seconds
Type: INT32
Provider name: MaxRuntimeInSeconds
Description: Specifies the maximum runtime in seconds.

`tags`

Type: UNORDERED_LIST_STRING

`training_job_arn`

Type: STRING
Provider name: TrainingJobArn
Description: The ARN of a training job associated with this processing job.