AWS SDK for C++  1.8.99
AWS SDK for C++
Public Member Functions | List of all members
Aws::Glue::Model::UpdateMLTransformRequest Class Reference

#include <UpdateMLTransformRequest.h>

+ Inheritance diagram for Aws::Glue::Model::UpdateMLTransformRequest:

Public Member Functions

 UpdateMLTransformRequest ()
 
virtual const char * GetServiceRequestName () const override
 
Aws::String SerializePayload () const override
 
Aws::Http::HeaderValueCollection GetRequestSpecificHeaders () const override
 
const Aws::StringGetTransformId () const
 
bool TransformIdHasBeenSet () const
 
void SetTransformId (const Aws::String &value)
 
void SetTransformId (Aws::String &&value)
 
void SetTransformId (const char *value)
 
UpdateMLTransformRequestWithTransformId (const Aws::String &value)
 
UpdateMLTransformRequestWithTransformId (Aws::String &&value)
 
UpdateMLTransformRequestWithTransformId (const char *value)
 
const Aws::StringGetName () const
 
bool NameHasBeenSet () const
 
void SetName (const Aws::String &value)
 
void SetName (Aws::String &&value)
 
void SetName (const char *value)
 
UpdateMLTransformRequestWithName (const Aws::String &value)
 
UpdateMLTransformRequestWithName (Aws::String &&value)
 
UpdateMLTransformRequestWithName (const char *value)
 
const Aws::StringGetDescription () const
 
bool DescriptionHasBeenSet () const
 
void SetDescription (const Aws::String &value)
 
void SetDescription (Aws::String &&value)
 
void SetDescription (const char *value)
 
UpdateMLTransformRequestWithDescription (const Aws::String &value)
 
UpdateMLTransformRequestWithDescription (Aws::String &&value)
 
UpdateMLTransformRequestWithDescription (const char *value)
 
const TransformParametersGetParameters () const
 
bool ParametersHasBeenSet () const
 
void SetParameters (const TransformParameters &value)
 
void SetParameters (TransformParameters &&value)
 
UpdateMLTransformRequestWithParameters (const TransformParameters &value)
 
UpdateMLTransformRequestWithParameters (TransformParameters &&value)
 
const Aws::StringGetRole () const
 
bool RoleHasBeenSet () const
 
void SetRole (const Aws::String &value)
 
void SetRole (Aws::String &&value)
 
void SetRole (const char *value)
 
UpdateMLTransformRequestWithRole (const Aws::String &value)
 
UpdateMLTransformRequestWithRole (Aws::String &&value)
 
UpdateMLTransformRequestWithRole (const char *value)
 
const Aws::StringGetGlueVersion () const
 
bool GlueVersionHasBeenSet () const
 
void SetGlueVersion (const Aws::String &value)
 
void SetGlueVersion (Aws::String &&value)
 
void SetGlueVersion (const char *value)
 
UpdateMLTransformRequestWithGlueVersion (const Aws::String &value)
 
UpdateMLTransformRequestWithGlueVersion (Aws::String &&value)
 
UpdateMLTransformRequestWithGlueVersion (const char *value)
 
double GetMaxCapacity () const
 
bool MaxCapacityHasBeenSet () const
 
void SetMaxCapacity (double value)
 
UpdateMLTransformRequestWithMaxCapacity (double value)
 
const WorkerTypeGetWorkerType () const
 
bool WorkerTypeHasBeenSet () const
 
void SetWorkerType (const WorkerType &value)
 
void SetWorkerType (WorkerType &&value)
 
UpdateMLTransformRequestWithWorkerType (const WorkerType &value)
 
UpdateMLTransformRequestWithWorkerType (WorkerType &&value)
 
int GetNumberOfWorkers () const
 
bool NumberOfWorkersHasBeenSet () const
 
void SetNumberOfWorkers (int value)
 
UpdateMLTransformRequestWithNumberOfWorkers (int value)
 
int GetTimeout () const
 
bool TimeoutHasBeenSet () const
 
void SetTimeout (int value)
 
UpdateMLTransformRequestWithTimeout (int value)
 
int GetMaxRetries () const
 
bool MaxRetriesHasBeenSet () const
 
void SetMaxRetries (int value)
 
UpdateMLTransformRequestWithMaxRetries (int value)
 
- Public Member Functions inherited from Aws::Glue::GlueRequest
virtual ~GlueRequest ()
 
void AddParametersToRequest (Aws::Http::HttpRequest &httpRequest) const
 
Aws::Http::HeaderValueCollection GetHeaders () const override
 
- Public Member Functions inherited from Aws::AmazonSerializableWebServiceRequest
 AmazonSerializableWebServiceRequest ()
 
virtual ~AmazonSerializableWebServiceRequest ()
 
std::shared_ptr< Aws::IOStreamGetBody () const override
 
- Public Member Functions inherited from Aws::AmazonWebServiceRequest
 AmazonWebServiceRequest ()
 
virtual ~AmazonWebServiceRequest ()=default
 
virtual void AddQueryStringParameters (Aws::Http::URI &uri) const
 
virtual void PutToPresignedUrl (Aws::Http::URI &uri) const
 
virtual bool IsStreaming () const
 
virtual bool IsEventStreamRequest () const
 
virtual bool SignBody () const
 
virtual bool IsChunked () const
 
virtual void SetRequestSignedHandler (const RequestSignedHandler &handler)
 
virtual const RequestSignedHandlerGetRequestSignedHandler () const
 
const Aws::IOStreamFactoryGetResponseStreamFactory () const
 
void SetResponseStreamFactory (const Aws::IOStreamFactory &factory)
 
virtual void SetDataReceivedEventHandler (const Aws::Http::DataReceivedEventHandler &dataReceivedEventHandler)
 
virtual void SetDataSentEventHandler (const Aws::Http::DataSentEventHandler &dataSentEventHandler)
 
virtual void SetContinueRequestHandler (const Aws::Http::ContinueRequestHandler &continueRequestHandler)
 
virtual void SetDataReceivedEventHandler (Aws::Http::DataReceivedEventHandler &&dataReceivedEventHandler)
 
virtual void SetDataSentEventHandler (Aws::Http::DataSentEventHandler &&dataSentEventHandler)
 
virtual void SetContinueRequestHandler (Aws::Http::ContinueRequestHandler &&continueRequestHandler)
 
virtual void SetRequestRetryHandler (const RequestRetryHandler &handler)
 
virtual void SetRequestRetryHandler (RequestRetryHandler &&handler)
 
virtual const Aws::Http::DataReceivedEventHandlerGetDataReceivedEventHandler () const
 
virtual const Aws::Http::DataSentEventHandlerGetDataSentEventHandler () const
 
virtual const Aws::Http::ContinueRequestHandlerGetContinueRequestHandler () const
 
virtual const RequestRetryHandlerGetRequestRetryHandler () const
 
virtual bool ShouldComputeContentMd5 () const
 

Additional Inherited Members

- Protected Member Functions inherited from Aws::AmazonWebServiceRequest
virtual void DumpBodyToUrl (Aws::Http::URI &uri) const
 

Detailed Description

Definition at line 23 of file UpdateMLTransformRequest.h.

Constructor & Destructor Documentation

◆ UpdateMLTransformRequest()

Aws::Glue::Model::UpdateMLTransformRequest::UpdateMLTransformRequest ( )

Member Function Documentation

◆ DescriptionHasBeenSet()

bool Aws::Glue::Model::UpdateMLTransformRequest::DescriptionHasBeenSet ( ) const
inline

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

Definition at line 129 of file UpdateMLTransformRequest.h.

◆ GetDescription()

const Aws::String& Aws::Glue::Model::UpdateMLTransformRequest::GetDescription ( ) const
inline

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

Definition at line 124 of file UpdateMLTransformRequest.h.

◆ GetGlueVersion()

const Aws::String& Aws::Glue::Model::UpdateMLTransformRequest::GetGlueVersion ( ) const
inline

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.

Definition at line 256 of file UpdateMLTransformRequest.h.

◆ GetMaxCapacity()

double Aws::Glue::Model::UpdateMLTransformRequest::GetMaxCapacity ( ) const
inline

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.

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

Definition at line 339 of file UpdateMLTransformRequest.h.

◆ GetMaxRetries()

int Aws::Glue::Model::UpdateMLTransformRequest::GetMaxRetries ( ) const
inline

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

Definition at line 513 of file UpdateMLTransformRequest.h.

◆ GetName()

const Aws::String& Aws::Glue::Model::UpdateMLTransformRequest::GetName ( ) const
inline

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

Definition at line 83 of file UpdateMLTransformRequest.h.

◆ GetNumberOfWorkers()

int Aws::Glue::Model::UpdateMLTransformRequest::GetNumberOfWorkers ( ) const
inline

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

Definition at line 455 of file UpdateMLTransformRequest.h.

◆ GetParameters()

const TransformParameters& Aws::Glue::Model::UpdateMLTransformRequest::GetParameters ( ) const
inline

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

Definition at line 166 of file UpdateMLTransformRequest.h.

◆ GetRequestSpecificHeaders()

Aws::Http::HeaderValueCollection Aws::Glue::Model::UpdateMLTransformRequest::GetRequestSpecificHeaders ( ) const
overridevirtual

Reimplemented from Aws::Glue::GlueRequest.

◆ GetRole()

const Aws::String& Aws::Glue::Model::UpdateMLTransformRequest::GetRole ( ) const
inline

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

Definition at line 203 of file UpdateMLTransformRequest.h.

◆ GetServiceRequestName()

virtual const char* Aws::Glue::Model::UpdateMLTransformRequest::GetServiceRequestName ( ) const
inlineoverridevirtual

Implements Aws::AmazonWebServiceRequest.

Definition at line 32 of file UpdateMLTransformRequest.h.

◆ GetTimeout()

int Aws::Glue::Model::UpdateMLTransformRequest::GetTimeout ( ) const
inline

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).

Definition at line 482 of file UpdateMLTransformRequest.h.

◆ GetTransformId()

const Aws::String& Aws::Glue::Model::UpdateMLTransformRequest::GetTransformId ( ) const
inline

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

Definition at line 42 of file UpdateMLTransformRequest.h.

◆ GetWorkerType()

const WorkerType& Aws::Glue::Model::UpdateMLTransformRequest::GetWorkerType ( ) const
inline

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.

Definition at line 388 of file UpdateMLTransformRequest.h.

◆ GlueVersionHasBeenSet()

bool Aws::Glue::Model::UpdateMLTransformRequest::GlueVersionHasBeenSet ( ) const
inline

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.

Definition at line 266 of file UpdateMLTransformRequest.h.

◆ MaxCapacityHasBeenSet()

bool Aws::Glue::Model::UpdateMLTransformRequest::MaxCapacityHasBeenSet ( ) const
inline

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.

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

Definition at line 351 of file UpdateMLTransformRequest.h.

◆ MaxRetriesHasBeenSet()

bool Aws::Glue::Model::UpdateMLTransformRequest::MaxRetriesHasBeenSet ( ) const
inline

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

Definition at line 519 of file UpdateMLTransformRequest.h.

◆ NameHasBeenSet()

bool Aws::Glue::Model::UpdateMLTransformRequest::NameHasBeenSet ( ) const
inline

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

Definition at line 88 of file UpdateMLTransformRequest.h.

◆ NumberOfWorkersHasBeenSet()

bool Aws::Glue::Model::UpdateMLTransformRequest::NumberOfWorkersHasBeenSet ( ) const
inline

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

Definition at line 461 of file UpdateMLTransformRequest.h.

◆ ParametersHasBeenSet()

bool Aws::Glue::Model::UpdateMLTransformRequest::ParametersHasBeenSet ( ) const
inline

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

Definition at line 172 of file UpdateMLTransformRequest.h.

◆ RoleHasBeenSet()

bool Aws::Glue::Model::UpdateMLTransformRequest::RoleHasBeenSet ( ) const
inline

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

Definition at line 209 of file UpdateMLTransformRequest.h.

◆ SerializePayload()

Aws::String Aws::Glue::Model::UpdateMLTransformRequest::SerializePayload ( ) const
overridevirtual

Convert payload into String.

Implements Aws::AmazonSerializableWebServiceRequest.

◆ SetDescription() [1/3]

void Aws::Glue::Model::UpdateMLTransformRequest::SetDescription ( const Aws::String value)
inline

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

Definition at line 134 of file UpdateMLTransformRequest.h.

◆ SetDescription() [2/3]

void Aws::Glue::Model::UpdateMLTransformRequest::SetDescription ( Aws::String &&  value)
inline

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

Definition at line 139 of file UpdateMLTransformRequest.h.

◆ SetDescription() [3/3]

void Aws::Glue::Model::UpdateMLTransformRequest::SetDescription ( const char *  value)
inline

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

Definition at line 144 of file UpdateMLTransformRequest.h.

◆ SetGlueVersion() [1/3]

void Aws::Glue::Model::UpdateMLTransformRequest::SetGlueVersion ( const Aws::String value)
inline

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.

Definition at line 276 of file UpdateMLTransformRequest.h.

◆ SetGlueVersion() [2/3]

void Aws::Glue::Model::UpdateMLTransformRequest::SetGlueVersion ( Aws::String &&  value)
inline

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.

Definition at line 286 of file UpdateMLTransformRequest.h.

◆ SetGlueVersion() [3/3]

void Aws::Glue::Model::UpdateMLTransformRequest::SetGlueVersion ( const char *  value)
inline

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.

Definition at line 296 of file UpdateMLTransformRequest.h.

◆ SetMaxCapacity()

void Aws::Glue::Model::UpdateMLTransformRequest::SetMaxCapacity ( double  value)
inline

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.

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

Definition at line 363 of file UpdateMLTransformRequest.h.

◆ SetMaxRetries()

void Aws::Glue::Model::UpdateMLTransformRequest::SetMaxRetries ( int  value)
inline

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

Definition at line 525 of file UpdateMLTransformRequest.h.

◆ SetName() [1/3]

void Aws::Glue::Model::UpdateMLTransformRequest::SetName ( const Aws::String value)
inline

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

Definition at line 93 of file UpdateMLTransformRequest.h.

◆ SetName() [2/3]

void Aws::Glue::Model::UpdateMLTransformRequest::SetName ( Aws::String &&  value)
inline

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

Definition at line 98 of file UpdateMLTransformRequest.h.

◆ SetName() [3/3]

void Aws::Glue::Model::UpdateMLTransformRequest::SetName ( const char *  value)
inline

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

Definition at line 103 of file UpdateMLTransformRequest.h.

◆ SetNumberOfWorkers()

void Aws::Glue::Model::UpdateMLTransformRequest::SetNumberOfWorkers ( int  value)
inline

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

Definition at line 467 of file UpdateMLTransformRequest.h.

◆ SetParameters() [1/2]

void Aws::Glue::Model::UpdateMLTransformRequest::SetParameters ( const TransformParameters value)
inline

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

Definition at line 178 of file UpdateMLTransformRequest.h.

◆ SetParameters() [2/2]

void Aws::Glue::Model::UpdateMLTransformRequest::SetParameters ( TransformParameters &&  value)
inline

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

Definition at line 184 of file UpdateMLTransformRequest.h.

◆ SetRole() [1/3]

void Aws::Glue::Model::UpdateMLTransformRequest::SetRole ( const Aws::String value)
inline

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

Definition at line 215 of file UpdateMLTransformRequest.h.

◆ SetRole() [2/3]

void Aws::Glue::Model::UpdateMLTransformRequest::SetRole ( Aws::String &&  value)
inline

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

Definition at line 221 of file UpdateMLTransformRequest.h.

◆ SetRole() [3/3]

void Aws::Glue::Model::UpdateMLTransformRequest::SetRole ( const char *  value)
inline

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

Definition at line 227 of file UpdateMLTransformRequest.h.

◆ SetTimeout()

void Aws::Glue::Model::UpdateMLTransformRequest::SetTimeout ( int  value)
inline

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).

Definition at line 498 of file UpdateMLTransformRequest.h.

◆ SetTransformId() [1/3]

void Aws::Glue::Model::UpdateMLTransformRequest::SetTransformId ( const Aws::String value)
inline

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

Definition at line 52 of file UpdateMLTransformRequest.h.

◆ SetTransformId() [2/3]

void Aws::Glue::Model::UpdateMLTransformRequest::SetTransformId ( Aws::String &&  value)
inline

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

Definition at line 57 of file UpdateMLTransformRequest.h.

◆ SetTransformId() [3/3]

void Aws::Glue::Model::UpdateMLTransformRequest::SetTransformId ( const char *  value)
inline

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

Definition at line 62 of file UpdateMLTransformRequest.h.

◆ SetWorkerType() [1/2]

void Aws::Glue::Model::UpdateMLTransformRequest::SetWorkerType ( const WorkerType value)
inline

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.

Definition at line 412 of file UpdateMLTransformRequest.h.

◆ SetWorkerType() [2/2]

void Aws::Glue::Model::UpdateMLTransformRequest::SetWorkerType ( WorkerType &&  value)
inline

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.

Definition at line 424 of file UpdateMLTransformRequest.h.

◆ TimeoutHasBeenSet()

bool Aws::Glue::Model::UpdateMLTransformRequest::TimeoutHasBeenSet ( ) const
inline

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).

Definition at line 490 of file UpdateMLTransformRequest.h.

◆ TransformIdHasBeenSet()

bool Aws::Glue::Model::UpdateMLTransformRequest::TransformIdHasBeenSet ( ) const
inline

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

Definition at line 47 of file UpdateMLTransformRequest.h.

◆ WithDescription() [1/3]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithDescription ( const Aws::String value)
inline

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

Definition at line 149 of file UpdateMLTransformRequest.h.

◆ WithDescription() [2/3]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithDescription ( Aws::String &&  value)
inline

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

Definition at line 154 of file UpdateMLTransformRequest.h.

◆ WithDescription() [3/3]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithDescription ( const char *  value)
inline

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

Definition at line 159 of file UpdateMLTransformRequest.h.

◆ WithGlueVersion() [1/3]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithGlueVersion ( const Aws::String value)
inline

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.

Definition at line 306 of file UpdateMLTransformRequest.h.

◆ WithGlueVersion() [2/3]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithGlueVersion ( Aws::String &&  value)
inline

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.

Definition at line 316 of file UpdateMLTransformRequest.h.

◆ WithGlueVersion() [3/3]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithGlueVersion ( const char *  value)
inline

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.

Definition at line 326 of file UpdateMLTransformRequest.h.

◆ WithMaxCapacity()

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithMaxCapacity ( double  value)
inline

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.

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

Definition at line 375 of file UpdateMLTransformRequest.h.

◆ WithMaxRetries()

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithMaxRetries ( int  value)
inline

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

Definition at line 531 of file UpdateMLTransformRequest.h.

◆ WithName() [1/3]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithName ( const Aws::String value)
inline

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

Definition at line 108 of file UpdateMLTransformRequest.h.

◆ WithName() [2/3]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithName ( Aws::String &&  value)
inline

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

Definition at line 113 of file UpdateMLTransformRequest.h.

◆ WithName() [3/3]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithName ( const char *  value)
inline

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

Definition at line 118 of file UpdateMLTransformRequest.h.

◆ WithNumberOfWorkers()

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithNumberOfWorkers ( int  value)
inline

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

Definition at line 473 of file UpdateMLTransformRequest.h.

◆ WithParameters() [1/2]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithParameters ( const TransformParameters value)
inline

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

Definition at line 190 of file UpdateMLTransformRequest.h.

◆ WithParameters() [2/2]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithParameters ( TransformParameters &&  value)
inline

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

Definition at line 196 of file UpdateMLTransformRequest.h.

◆ WithRole() [1/3]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithRole ( const Aws::String value)
inline

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

Definition at line 233 of file UpdateMLTransformRequest.h.

◆ WithRole() [2/3]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithRole ( Aws::String &&  value)
inline

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

Definition at line 239 of file UpdateMLTransformRequest.h.

◆ WithRole() [3/3]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithRole ( const char *  value)
inline

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

Definition at line 245 of file UpdateMLTransformRequest.h.

◆ WithTimeout()

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithTimeout ( int  value)
inline

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).

Definition at line 506 of file UpdateMLTransformRequest.h.

◆ WithTransformId() [1/3]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithTransformId ( const Aws::String value)
inline

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

Definition at line 67 of file UpdateMLTransformRequest.h.

◆ WithTransformId() [2/3]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithTransformId ( Aws::String &&  value)
inline

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

Definition at line 72 of file UpdateMLTransformRequest.h.

◆ WithTransformId() [3/3]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithTransformId ( const char *  value)
inline

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

Definition at line 77 of file UpdateMLTransformRequest.h.

◆ WithWorkerType() [1/2]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithWorkerType ( const WorkerType value)
inline

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.

Definition at line 436 of file UpdateMLTransformRequest.h.

◆ WithWorkerType() [2/2]

UpdateMLTransformRequest& Aws::Glue::Model::UpdateMLTransformRequest::WithWorkerType ( WorkerType &&  value)
inline

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.

Definition at line 448 of file UpdateMLTransformRequest.h.

◆ WorkerTypeHasBeenSet()

bool Aws::Glue::Model::UpdateMLTransformRequest::WorkerTypeHasBeenSet ( ) const
inline

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.

Definition at line 400 of file UpdateMLTransformRequest.h.


The documentation for this class was generated from the following file: