com.amazonaws.services.glue.model

Class UpdateMLTransformRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.glue.model.UpdateMLTransformRequest

All Implemented Interfaces:

HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class UpdateMLTransformRequest
extends AmazonWebServiceRequest
implements Serializable, Cloneable

See Also:

AWS API Documentation, Serialized Form

Field Summary

Fields inherited from class com.amazonaws.AmazonWebServiceRequest

NOOP

Constructor Summary

Constructors

Constructor and Description
UpdateMLTransformRequest()

Method Summary

Modifier and Type	Method and Description
UpdateMLTransformRequest	clone() Creates a shallow clone of this object for all fields except the handler context.
boolean	equals(Object obj)
String	getDescription() A description of the transform.
String	getGlueVersion() This value determines which version of Glue this machine learning transform is compatible with.
Double	getMaxCapacity() The number of Glue data processing units (DPUs) that are allocated to task runs for this transform.
Integer	getMaxRetries() The maximum number of times to retry a task for this transform after a task run fails.
String	getName() The unique name that you gave the transform when you created it.
Integer	getNumberOfWorkers() The number of workers of a defined workerType that are allocated when this task runs.
TransformParameters	getParameters() The configuration parameters that are specific to the transform type (algorithm) used.
String	getRole() The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
Integer	getTimeout() The timeout for a task run for this transform in minutes.
String	getTransformId() A unique identifier that was generated when the transform was created.
String	getWorkerType() The type of predefined worker that is allocated when this task runs.
int	hashCode()
void	setDescription(String description) A description of the transform.
void	setGlueVersion(String glueVersion) This value determines which version of Glue this machine learning transform is compatible with.
void	setMaxCapacity(Double maxCapacity) The number of Glue data processing units (DPUs) that are allocated to task runs for this transform.
void	setMaxRetries(Integer maxRetries) The maximum number of times to retry a task for this transform after a task run fails.
void	setName(String name) The unique name that you gave the transform when you created it.
void	setNumberOfWorkers(Integer numberOfWorkers) The number of workers of a defined workerType that are allocated when this task runs.
void	setParameters(TransformParameters parameters) The configuration parameters that are specific to the transform type (algorithm) used.
void	setRole(String role) The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
void	setTimeout(Integer timeout) The timeout for a task run for this transform in minutes.
void	setTransformId(String transformId) A unique identifier that was generated when the transform was created.
void	setWorkerType(String workerType) The type of predefined worker that is allocated when this task runs.
String	toString() Returns a string representation of this object.
UpdateMLTransformRequest	withDescription(String description) A description of the transform.
UpdateMLTransformRequest	withGlueVersion(String glueVersion) This value determines which version of Glue this machine learning transform is compatible with.
UpdateMLTransformRequest	withMaxCapacity(Double maxCapacity) The number of Glue data processing units (DPUs) that are allocated to task runs for this transform.
UpdateMLTransformRequest	withMaxRetries(Integer maxRetries) The maximum number of times to retry a task for this transform after a task run fails.
UpdateMLTransformRequest	withName(String name) The unique name that you gave the transform when you created it.
UpdateMLTransformRequest	withNumberOfWorkers(Integer numberOfWorkers) The number of workers of a defined workerType that are allocated when this task runs.
UpdateMLTransformRequest	withParameters(TransformParameters parameters) The configuration parameters that are specific to the transform type (algorithm) used.
UpdateMLTransformRequest	withRole(String role) The name or Amazon Resource Name (ARN) of the IAM role with the required permissions.
UpdateMLTransformRequest	withTimeout(Integer timeout) The timeout for a task run for this transform in minutes.
UpdateMLTransformRequest	withTransformId(String transformId) A unique identifier that was generated when the transform was created.
UpdateMLTransformRequest	withWorkerType(String workerType) The type of predefined worker that is allocated when this task runs.
UpdateMLTransformRequest	withWorkerType(WorkerType workerType) The type of predefined worker that is allocated when this task runs.

Methods inherited from class com.amazonaws.AmazonWebServiceRequest

addHandlerContext, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

UpdateMLTransformRequest

public UpdateMLTransformRequest()

Method Detail

setTransformId

public void setTransformId(String transformId)

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

Parameters:

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

getTransformId

public String getTransformId()

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

Returns:

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

withTransformId

public UpdateMLTransformRequest withTransformId(String transformId)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

setName

public void setName(String name)

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

Parameters:

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

getName

public String getName()

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

Returns:

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

withName

public UpdateMLTransformRequest withName(String name)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

setDescription

public void setDescription(String description)

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

Parameters:

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

getDescription

public String getDescription()

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

Returns:

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

withDescription

public UpdateMLTransformRequest withDescription(String description)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

setParameters

public void setParameters(TransformParameters parameters)

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

Parameters:

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

getParameters

public TransformParameters getParameters()

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

Returns:

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

withParameters

public UpdateMLTransformRequest withParameters(TransformParameters parameters)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

setRole

public void setRole(String role)

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

Parameters:

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

getRole

public String getRole()

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

Returns:

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

withRole

public UpdateMLTransformRequest withRole(String role)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

setGlueVersion

public void setGlueVersion(String glueVersion)

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.

Parameters:

glueVersion - 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.

getGlueVersion

public String getGlueVersion()

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.

Returns:

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.

withGlueVersion

public UpdateMLTransformRequest withGlueVersion(String glueVersion)

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.

Parameters:

glueVersion - 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.

Returns:

Returns a reference to this object so that method calls can be chained together.

setMaxCapacity

public void setMaxCapacity(Double maxCapacity)

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.

Parameters:

maxCapacity - 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.

getMaxCapacity

public Double getMaxCapacity()

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.

Returns:

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.

withMaxCapacity

public UpdateMLTransformRequest withMaxCapacity(Double maxCapacity)

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.

Parameters:

maxCapacity - 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.

Returns:

Returns a reference to this object so that method calls can be chained together.

setWorkerType

public void setWorkerType(String 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.

Parameters:

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.

See Also:

WorkerType

getWorkerType

public String getWorkerType()

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.

Returns:

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.

See Also:

WorkerType

withWorkerType

public UpdateMLTransformRequest withWorkerType(String 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.

Parameters:

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.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

WorkerType

withWorkerType

public UpdateMLTransformRequest withWorkerType(WorkerType 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.

Parameters:

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.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

WorkerType

setNumberOfWorkers

public void setNumberOfWorkers(Integer numberOfWorkers)

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

Parameters:

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

getNumberOfWorkers

public Integer getNumberOfWorkers()

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

Returns:

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

withNumberOfWorkers

public UpdateMLTransformRequest withNumberOfWorkers(Integer numberOfWorkers)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

setTimeout

public void setTimeout(Integer timeout)

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).

Parameters:

timeout - 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).

getTimeout

public Integer getTimeout()

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).

Returns:

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).

withTimeout

public UpdateMLTransformRequest withTimeout(Integer timeout)

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).

Parameters:

timeout - 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).

Returns:

Returns a reference to this object so that method calls can be chained together.

setMaxRetries

public void setMaxRetries(Integer maxRetries)

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

Parameters:

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

getMaxRetries

public Integer getMaxRetries()

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

Returns:

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

withMaxRetries

public UpdateMLTransformRequest withMaxRetries(Integer maxRetries)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

toString

public String toString()

Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.

Overrides:

toString in class Object

Returns:

A string representation of this object.

See Also:

Object.toString()

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

clone

public UpdateMLTransformRequest clone()

Description copied from class: AmazonWebServiceRequest

Creates a shallow clone of this object for all fields except the handler context. Explicitly does not clone the deep structure of the other fields in the message.

Overrides:

clone in class AmazonWebServiceRequest

See Also:

Object.clone()