Struct rusoto_glue::UpdateMLTransformRequest
source · [−]pub struct UpdateMLTransformRequest {
pub description: Option<String>,
pub glue_version: Option<String>,
pub max_capacity: Option<f64>,
pub max_retries: Option<i64>,
pub name: Option<String>,
pub number_of_workers: Option<i64>,
pub parameters: Option<TransformParameters>,
pub role: Option<String>,
pub timeout: Option<i64>,
pub transform_id: String,
pub worker_type: Option<String>,
}
Fields
description: Option<String>
A description of the transform. The default is an empty string.
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.
max_retries: Option<i64>
The maximum number of times to retry a task for this transform after a task run fails.
name: Option<String>
The unique name that you gave the transform when you created it.
number_of_workers: Option<i64>
The number of workers of a defined workerType
that are allocated when this task runs.
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.
timeout: Option<i64>
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).
transform_id: String
A unique identifier that was generated when the transform was created.
worker_type: Option<String>
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.
Trait Implementations
sourceimpl Clone for UpdateMLTransformRequest
impl Clone for UpdateMLTransformRequest
sourcefn clone(&self) -> UpdateMLTransformRequest
fn clone(&self) -> UpdateMLTransformRequest
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
sourceimpl Debug for UpdateMLTransformRequest
impl Debug for UpdateMLTransformRequest
sourceimpl Default for UpdateMLTransformRequest
impl Default for UpdateMLTransformRequest
sourcefn default() -> UpdateMLTransformRequest
fn default() -> UpdateMLTransformRequest
Returns the “default value” for a type. Read more
sourceimpl PartialEq<UpdateMLTransformRequest> for UpdateMLTransformRequest
impl PartialEq<UpdateMLTransformRequest> for UpdateMLTransformRequest
sourcefn eq(&self, other: &UpdateMLTransformRequest) -> bool
fn eq(&self, other: &UpdateMLTransformRequest) -> bool
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
sourcefn ne(&self, other: &UpdateMLTransformRequest) -> bool
fn ne(&self, other: &UpdateMLTransformRequest) -> bool
This method tests for !=
.
sourceimpl Serialize for UpdateMLTransformRequest
impl Serialize for UpdateMLTransformRequest
impl StructuralPartialEq for UpdateMLTransformRequest
Auto Trait Implementations
impl RefUnwindSafe for UpdateMLTransformRequest
impl Send for UpdateMLTransformRequest
impl Sync for UpdateMLTransformRequest
impl Unpin for UpdateMLTransformRequest
impl UnwindSafe for UpdateMLTransformRequest
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<T> Instrument for T
impl<T> Instrument for T
sourcefn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
sourcefn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
sourceimpl<T> ToOwned for T where
T: Clone,
impl<T> ToOwned for T where
T: Clone,
type Owned = T
type Owned = T
The resulting type after obtaining ownership.
sourcefn clone_into(&self, target: &mut T)
fn clone_into(&self, target: &mut T)
toowned_clone_into
)Uses borrowed data to replace owned data, usually by cloning. Read more
sourceimpl<T> WithSubscriber for T
impl<T> WithSubscriber for T
sourcefn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
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
sourcefn with_current_subscriber(self) -> WithDispatch<Self>
fn with_current_subscriber(self) -> WithDispatch<Self>
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more