#[non_exhaustive]
pub struct UpdateMlTransformInput { pub transform_id: Option<String>, pub name: Option<String>, pub description: Option<String>, pub parameters: Option<TransformParameters>, 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>, }

Fields (Non-exhaustive)§

This struct is marked as 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>

A unique identifier that was generated when the transform was created.

§name: Option<String>

The unique name that you gave the transform when you created it.

§description: Option<String>

A description of the transform. The default is an empty string.

§parameters: Option<TransformParameters>

The configuration parameters that are specific to the transform type (algorithm) used. Conditionally dependent on the transform type.

§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.

Implementations§

source§

impl UpdateMlTransformInput

source

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

A unique identifier that was generated when the transform was created.

source

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

The unique name that you gave the transform when you created it.

source

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

A description of the transform. The default is an empty string.

source

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

The configuration parameters that are specific to the transform type (algorithm) used. Conditionally dependent on the transform type.

source

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

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

source

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.

source

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.

source

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.

source

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

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

source

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).

source

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

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

source§

impl UpdateMlTransformInput

source

pub fn builder() -> UpdateMlTransformInputBuilder

Creates a new builder-style object to manufacture UpdateMlTransformInput.

Trait Implementations§

source§

impl Clone for UpdateMlTransformInput

source§

fn clone(&self) -> UpdateMlTransformInput

Returns a copy of the value. Read more
1.0.0 · source§

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

Performs copy-assignment from source. Read more
source§

impl Debug for UpdateMlTransformInput

source§

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

Formats the value using the given formatter. Read more
source§

impl PartialEq for UpdateMlTransformInput

source§

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

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

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.
source§

impl StructuralPartialEq for UpdateMlTransformInput

Auto Trait Implementations§

Blanket Implementations§

source§

impl<T> Any for T
where T: 'static + ?Sized,

source§

fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
source§

impl<T> Borrow<T> for T
where T: ?Sized,

source§

fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
source§

impl<T> BorrowMut<T> for T
where T: ?Sized,

source§

fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more
source§

impl<T> From<T> for T

source§

fn from(t: T) -> T

Returns the argument unchanged.

source§

impl<T> Instrument for T

source§

fn instrument(self, span: Span) -> Instrumented<Self>

Instruments this type with the provided Span, returning an Instrumented wrapper. Read more
source§

fn in_current_span(self) -> Instrumented<Self>

Instruments this type with the current Span, returning an Instrumented wrapper. Read more
source§

impl<T, U> Into<U> for T
where U: From<T>,

source§

fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

source§

impl<T> IntoEither for T

source§

fn into_either(self, into_left: bool) -> Either<Self, Self>

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more
source§

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more
source§

impl<Unshared, Shared> IntoShared<Shared> for Unshared
where Shared: FromUnshared<Unshared>,

source§

fn into_shared(self) -> Shared

Creates a shared type from an unshared type.
source§

impl<T> Same for T

§

type Output = T

Should always be Self
source§

impl<T> ToOwned for T
where T: Clone,

§

type Owned = T

The resulting type after obtaining ownership.
source§

fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more
source§

fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more
source§

impl<T, U> TryFrom<U> for T
where U: Into<T>,

§

type Error = Infallible

The type returned in the event of a conversion error.
source§

fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
source§

impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

§

type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.
source§

fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.
source§

impl<T> WithSubscriber for T

source§

fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self>
where S: Into<Dispatch>,

Attaches the provided Subscriber to this type, returning a WithDispatch wrapper. Read more
source§

fn with_current_subscriber(self) -> WithDispatch<Self>

Attaches the current default Subscriber to this type, returning a WithDispatch wrapper. Read more