[−][src]Struct rusoto_glue::CreateMLTransformRequest
Fields
description: Option<String>
A description of the machine learning transform that is being defined. The default is an empty string.
glue_version: Option<String>
This value determines which version of AWS 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 AWS Glue Versions in the developer guide.
input_record_tables: Vec<GlueTable>
A list of AWS Glue table definitions used by the transform.
max_capacity: Option<f64>
The number of AWS 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 AWS Glue pricing page.
MaxCapacity
is a mutually exclusive option with NumberOfWorkers
and WorkerType
.
-
If either
NumberOfWorkers
orWorkerType
is set, thenMaxCapacity
cannot be set. -
If
MaxCapacity
is set then neitherNumberOfWorkers
orWorkerType
can be set. -
If
WorkerType
is set, thenNumberOfWorkers
is required (and vice versa). -
MaxCapacity
andNumberOfWorkers
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.
max_retries: Option<i64>
The maximum number of times to retry a task for this transform after a task run fails.
name: String
The unique name that you give the transform when you create it.
number_of_workers: Option<i64>
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).
parameters: TransformParameters
The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type.
role: String
The name or Amazon Resource Name (ARN) of the IAM role with the required permissions. The required permissions include both AWS Glue service role permissions to AWS Glue resources, and Amazon S3 permissions required by the transform.
-
This role needs AWS Glue service role permissions to allow access to resources in AWS Glue. See Attach a Policy to IAM Users That Access AWS 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.
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 AWS Glue, see AWS Tags in AWS Glue in the developer guide.
timeout: Option<i64>
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).
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.
MaxCapacity
is a mutually exclusive option with NumberOfWorkers
and WorkerType
.
-
If either
NumberOfWorkers
orWorkerType
is set, thenMaxCapacity
cannot be set. -
If
MaxCapacity
is set then neitherNumberOfWorkers
orWorkerType
can be set. -
If
WorkerType
is set, thenNumberOfWorkers
is required (and vice versa). -
MaxCapacity
andNumberOfWorkers
must both be at least 1.
Trait Implementations
impl Clone for CreateMLTransformRequest
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pub fn clone(&self) -> CreateMLTransformRequest
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pub fn clone_from(&mut self, source: &Self)
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impl Debug for CreateMLTransformRequest
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impl Default for CreateMLTransformRequest
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pub fn default() -> CreateMLTransformRequest
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impl PartialEq<CreateMLTransformRequest> for CreateMLTransformRequest
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pub fn eq(&self, other: &CreateMLTransformRequest) -> bool
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pub fn ne(&self, other: &CreateMLTransformRequest) -> bool
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impl Serialize for CreateMLTransformRequest
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pub fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
__S: Serializer,
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__S: Serializer,
impl StructuralPartialEq for CreateMLTransformRequest
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Auto Trait Implementations
impl RefUnwindSafe for CreateMLTransformRequest
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impl Send for CreateMLTransformRequest
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impl Sync for CreateMLTransformRequest
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impl Unpin for CreateMLTransformRequest
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impl UnwindSafe for CreateMLTransformRequest
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Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> Same<T> for T
type Output = T
Should always be Self
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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pub fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,