Struct aws_sdk_glue::operation::get_ml_transform::GetMlTransformOutput

#[non_exhaustive]
pub struct GetMlTransformOutput {

    pub transform_id: Option<String>,
    pub name: Option<String>,
    pub description: Option<String>,
    pub status: Option<TransformStatusType>,
    pub created_on: Option<DateTime>,
    pub last_modified_on: Option<DateTime>,
    pub input_record_tables: Option<Vec<GlueTable>>,
    pub parameters: Option<TransformParameters>,
    pub evaluation_metrics: Option<EvaluationMetrics>,
    pub label_count: i32,
    pub schema: Option<Vec<SchemaColumn>>,
    pub role: Option<String>,
    pub glue_version: Option<String>,
    pub max_capacity: Option<f64>,
    pub worker_type: Option<WorkerType>,
    pub number_of_workers: Option<i32>,
    pub timeout: Option<i32>,
    pub max_retries: Option<i32>,
    pub transform_encryption: Option<TransformEncryption>,
    /* private fields */
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

transform_id: Option<String>

The unique identifier of the transform, generated at the time that the transform was created.

name: Option<String>

The unique name given to the transform when it was created.

description: Option<String>

A description of the transform.

status: Option<TransformStatusType>

The last known status of the transform (to indicate whether it can be used or not). One of "NOT_READY", "READY", or "DELETING".

created_on: Option<DateTime>

The date and time when the transform was created.

last_modified_on: Option<DateTime>

The date and time when the transform was last modified.

input_record_tables: Option<Vec<GlueTable>>

A list of Glue table definitions used by the transform.

parameters: Option<TransformParameters>

The configuration parameters that are specific to the algorithm used.

evaluation_metrics: Option<EvaluationMetrics>

The latest evaluation metrics.

label_count: i32

The number of labels available for this transform.

schema: Option<Vec<SchemaColumn>>

The Map object that represents the schema that this transform accepts. Has an upper bound of 100 columns.

role: Option<String>

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

glue_version: Option<String>

This value determines which version of Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see Glue Versions in the developer guide.

max_capacity: Option<f64>

The number of Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 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 Glue pricing page.

When the WorkerType field is set to a value other than Standard, the MaxCapacity field is set automatically and becomes read-only.

worker_type: Option<WorkerType>

The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X.

• For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.

• For the G.1X worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.

• For the G.2X worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.

number_of_workers: Option<i32>

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

timeout: Option<i32>

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

max_retries: Option<i32>

The maximum number of times to retry a task for this transform after a task run fails.

transform_encryption: Option<TransformEncryption>

The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS.

Implementations

impl GetMlTransformOutput

pub fn transform_id(&self) -> Option<&str>

The unique identifier of the transform, generated at the time that the transform was created.

pub fn name(&self) -> Option<&str>

The unique name given to the transform when it was created.

pub fn description(&self) -> Option<&str>

A description of the transform.

pub fn status(&self) -> Option<&TransformStatusType>

The last known status of the transform (to indicate whether it can be used or not). One of "NOT_READY", "READY", or "DELETING".

pub fn created_on(&self) -> Option<&DateTime>

The date and time when the transform was created.

pub fn last_modified_on(&self) -> Option<&DateTime>

The date and time when the transform was last modified.

pub fn input_record_tables(&self) -> &[GlueTable]

A list of Glue table definitions used by the transform.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .input_record_tables.is_none().

pub fn parameters(&self) -> Option<&TransformParameters>

The configuration parameters that are specific to the algorithm used.

pub fn evaluation_metrics(&self) -> Option<&EvaluationMetrics>

The latest evaluation metrics.

pub fn label_count(&self) -> i32

The number of labels available for this transform.

pub fn schema(&self) -> &[SchemaColumn]

The Map object that represents the schema that this transform accepts. Has an upper bound of 100 columns.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .schema.is_none().

pub fn role(&self) -> Option<&str>

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

pub fn glue_version(&self) -> Option<&str>

This value determines which version of Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see Glue Versions in the developer guide.

pub fn max_capacity(&self) -> Option<f64>

The number of Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 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 Glue pricing page.

When the WorkerType field is set to a value other than Standard, the MaxCapacity field is set automatically and becomes read-only.

pub fn worker_type(&self) -> Option<&WorkerType>

The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X.

• For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.

• For the G.1X worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.

• For the G.2X worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.

pub fn number_of_workers(&self) -> Option<i32>

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

pub fn timeout(&self) -> Option<i32>

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

pub fn max_retries(&self) -> Option<i32>

The maximum number of times to retry a task for this transform after a task run fails.

pub fn transform_encryption(&self) -> Option<&TransformEncryption>

The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS.

impl GetMlTransformOutput

pub fn builder() -> GetMlTransformOutputBuilder

Creates a new builder-style object to manufacture GetMlTransformOutput.

Trait Implementations

impl Clone for GetMlTransformOutput

fn clone(&self) -> GetMlTransformOutput

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for GetMlTransformOutput

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for GetMlTransformOutput

fn eq(&self, other: &GetMlTransformOutput) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl RequestId for GetMlTransformOutput

fn request_id(&self) -> Option<&str>

Returns the request ID, or None if the service could not be reached.

impl StructuralPartialEq for GetMlTransformOutput