Struct aws_sdk_glue::operation::create_ml_transform::builders::CreateMlTransformInputBuilder

#[non_exhaustive]
pub struct CreateMlTransformInputBuilder { /* private fields */ }

A builder for CreateMlTransformInput.

Implementations

impl CreateMlTransformInputBuilder

pub fn name(self, input: impl Into<String>) -> Self

The unique name that you give the transform when you create it.

This field is required.

pub fn set_name(self, input: Option<String>) -> Self

The unique name that you give the transform when you create it.

pub fn get_name(&self) -> &Option<String>

The unique name that you give the transform when you create it.

pub fn description(self, input: impl Into<String>) -> Self

A description of the machine learning transform that is being defined. The default is an empty string.

pub fn set_description(self, input: Option<String>) -> Self

A description of the machine learning transform that is being defined. The default is an empty string.

pub fn get_description(&self) -> &Option<String>

A description of the machine learning transform that is being defined. The default is an empty string.

pub fn input_record_tables(self, input: GlueTable) -> Self

Appends an item to input_record_tables.

To override the contents of this collection use set_input_record_tables.

A list of Glue table definitions used by the transform.

pub fn set_input_record_tables(self, input: Option<Vec<GlueTable>>) -> Self

A list of Glue table definitions used by the transform.

pub fn get_input_record_tables(&self) -> &Option<Vec<GlueTable>>

A list of Glue table definitions used by the transform.

pub fn parameters(self, input: TransformParameters) -> Self

The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type.

This field is required.

pub fn set_parameters(self, input: Option<TransformParameters>) -> Self

The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type.

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

The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type.

pub fn role(self, input: impl Into<String>) -> Self

The name or Amazon Resource Name (ARN) of the IAM role with the required permissions. The required permissions include both Glue service role permissions to Glue resources, and Amazon S3 permissions required by the transform.

• This role needs Glue service role permissions to allow access to resources in Glue. See Attach a Policy to IAM Users That Access Glue.

• This role needs permission to your Amazon Simple Storage Service (Amazon S3) sources, targets, temporary directory, scripts, and any libraries used by the task run for this transform.

This field is required.

pub fn set_role(self, input: Option<String>) -> Self

The name or Amazon Resource Name (ARN) of the IAM role with the required permissions. The required permissions include both Glue service role permissions to Glue resources, and Amazon S3 permissions required by the transform.

• This role needs Glue service role permissions to allow access to resources in Glue. See Attach a Policy to IAM Users That Access Glue.

• This role needs permission to your Amazon Simple Storage Service (Amazon S3) sources, targets, temporary directory, scripts, and any libraries used by the task run for this transform.

pub fn get_role(&self) -> &Option<String>

The name or Amazon Resource Name (ARN) of the IAM role with the required permissions. The required permissions include both Glue service role permissions to Glue resources, and Amazon S3 permissions required by the transform.

• This role needs Glue service role permissions to allow access to resources in Glue. See Attach a Policy to IAM Users That Access Glue.

• This role needs permission to your Amazon Simple Storage Service (Amazon S3) sources, targets, temporary directory, scripts, and any libraries used by the task run for this transform.

pub fn glue_version(self, input: impl Into<String>) -> Self

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 set_glue_version(self, input: Option<String>) -> Self

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 get_glue_version(&self) -> &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.

pub fn max_capacity(self, input: f64) -> Self

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.

MaxCapacity is a mutually exclusive option with NumberOfWorkers and WorkerType.

• If either NumberOfWorkers or WorkerType is set, then MaxCapacity cannot be set.

• If MaxCapacity is set then neither NumberOfWorkers or WorkerType can be set.

• If WorkerType is set, then NumberOfWorkers is required (and vice versa).

• MaxCapacity and NumberOfWorkers must both be at least 1.

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

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

pub fn set_max_capacity(self, input: Option<f64>) -> Self

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.

MaxCapacity is a mutually exclusive option with NumberOfWorkers and WorkerType.

• If either NumberOfWorkers or WorkerType is set, then MaxCapacity cannot be set.

• If MaxCapacity is set then neither NumberOfWorkers or WorkerType can be set.

• If WorkerType is set, then NumberOfWorkers is required (and vice versa).

• MaxCapacity and NumberOfWorkers must both be at least 1.

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

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

pub fn get_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.

MaxCapacity is a mutually exclusive option with NumberOfWorkers and WorkerType.

• If either NumberOfWorkers or WorkerType is set, then MaxCapacity cannot be set.

• If MaxCapacity is set then neither NumberOfWorkers or WorkerType can be set.

• If WorkerType is set, then NumberOfWorkers is required (and vice versa).

• MaxCapacity and NumberOfWorkers must both be at least 1.

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

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, input: WorkerType) -> Self

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.

MaxCapacity is a mutually exclusive option with NumberOfWorkers and WorkerType.

• If either NumberOfWorkers or WorkerType is set, then MaxCapacity cannot be set.

• If MaxCapacity is set then neither NumberOfWorkers or WorkerType can be set.

• If WorkerType is set, then NumberOfWorkers is required (and vice versa).

• MaxCapacity and NumberOfWorkers must both be at least 1.

pub fn set_worker_type(self, input: Option<WorkerType>) -> Self

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.

MaxCapacity is a mutually exclusive option with NumberOfWorkers and WorkerType.

• If either NumberOfWorkers or WorkerType is set, then MaxCapacity cannot be set.

• If MaxCapacity is set then neither NumberOfWorkers or WorkerType can be set.

• If WorkerType is set, then NumberOfWorkers is required (and vice versa).

• MaxCapacity and NumberOfWorkers must both be at least 1.

pub fn get_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.

MaxCapacity is a mutually exclusive option with NumberOfWorkers and WorkerType.

• If either NumberOfWorkers or WorkerType is set, then MaxCapacity cannot be set.

• If MaxCapacity is set then neither NumberOfWorkers or WorkerType can be set.

• If WorkerType is set, then NumberOfWorkers is required (and vice versa).

• MaxCapacity and NumberOfWorkers must both be at least 1.

pub fn number_of_workers(self, input: i32) -> Self

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

If WorkerType is set, then NumberOfWorkers is required (and vice versa).

pub fn set_number_of_workers(self, input: Option<i32>) -> Self

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

If WorkerType is set, then NumberOfWorkers is required (and vice versa).

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

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

If WorkerType is set, then NumberOfWorkers is required (and vice versa).

pub fn timeout(self, input: i32) -> Self

The timeout of the 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 set_timeout(self, input: Option<i32>) -> Self

The timeout of the 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 get_timeout(&self) -> &Option<i32>

The timeout of the 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, input: i32) -> Self

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

pub fn set_max_retries(self, input: Option<i32>) -> Self

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

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

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

pub fn tags(self, k: impl Into<String>, v: impl Into<String>) -> Self

Adds a key-value pair to tags.

To override the contents of this collection use set_tags.

The tags to use with this machine learning transform. You may use tags to limit access to the machine learning transform. For more information about tags in Glue, see Amazon Web Services Tags in Glue in the developer guide.

pub fn set_tags(self, input: Option<HashMap<String, String>>) -> Self

The tags to use with this machine learning transform. You may use tags to limit access to the machine learning transform. For more information about tags in Glue, see Amazon Web Services Tags in Glue in the developer guide.

pub fn get_tags(&self) -> &Option<HashMap<String, String>>

The tags to use with this machine learning transform. You may use tags to limit access to the machine learning transform. For more information about tags in Glue, see Amazon Web Services Tags in Glue in the developer guide.

pub fn transform_encryption(self, input: TransformEncryption) -> Self

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.

pub fn set_transform_encryption( self, input: Option<TransformEncryption>, ) -> Self

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.

pub fn get_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.

pub fn build(self) -> Result<CreateMlTransformInput, BuildError>

Consumes the builder and constructs a CreateMlTransformInput.

impl CreateMlTransformInputBuilder

pub async fn send_with( self, client: &Client, ) -> Result<CreateMlTransformOutput, SdkError<CreateMLTransformError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations

impl Clone for CreateMlTransformInputBuilder

fn clone(&self) -> CreateMlTransformInputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateMlTransformInputBuilder

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

Formats the value using the given formatter.

impl Default for CreateMlTransformInputBuilder

fn default() -> CreateMlTransformInputBuilder

Returns the “default value” for a type.

impl PartialEq for CreateMlTransformInputBuilder

fn eq(&self, other: &CreateMlTransformInputBuilder) -> 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 StructuralPartialEq for CreateMlTransformInputBuilder