com.amazonaws.services.kinesisanalyticsv2.model

Class ParallelismConfigurationUpdate

java.lang.Object

com.amazonaws.services.kinesisanalyticsv2.model.ParallelismConfigurationUpdate

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

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

Describes updates to parameters for how an application executes multiple tasks simultaneously.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
ParallelismConfigurationUpdate()

Method Summary

Modifier and Type	Method and Description
ParallelismConfigurationUpdate	clone()
boolean	equals(Object obj)
Boolean	getAutoScalingEnabledUpdate() Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.
String	getConfigurationTypeUpdate() Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used.
Integer	getParallelismPerKPUUpdate() Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.
Integer	getParallelismUpdate() Describes updates to the initial number of parallel tasks an application can perform.
int	hashCode()
Boolean	isAutoScalingEnabledUpdate() Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setAutoScalingEnabledUpdate(Boolean autoScalingEnabledUpdate) Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.
void	setConfigurationTypeUpdate(String configurationTypeUpdate) Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used.
void	setParallelismPerKPUUpdate(Integer parallelismPerKPUUpdate) Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.
void	setParallelismUpdate(Integer parallelismUpdate) Describes updates to the initial number of parallel tasks an application can perform.
String	toString() Returns a string representation of this object.
ParallelismConfigurationUpdate	withAutoScalingEnabledUpdate(Boolean autoScalingEnabledUpdate) Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.
ParallelismConfigurationUpdate	withConfigurationTypeUpdate(ConfigurationType configurationTypeUpdate) Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used.
ParallelismConfigurationUpdate	withConfigurationTypeUpdate(String configurationTypeUpdate) Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used.
ParallelismConfigurationUpdate	withParallelismPerKPUUpdate(Integer parallelismPerKPUUpdate) Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.
ParallelismConfigurationUpdate	withParallelismUpdate(Integer parallelismUpdate) Describes updates to the initial number of parallel tasks an application can perform.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

ParallelismConfigurationUpdate

public ParallelismConfigurationUpdate()

Method Detail

setConfigurationTypeUpdate

public void setConfigurationTypeUpdate(String configurationTypeUpdate)

Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

Parameters:

configurationTypeUpdate - Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

See Also:

ConfigurationType

getConfigurationTypeUpdate

public String getConfigurationTypeUpdate()

Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

Returns:

Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

See Also:

ConfigurationType

withConfigurationTypeUpdate

public ParallelismConfigurationUpdate withConfigurationTypeUpdate(String configurationTypeUpdate)

Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

Parameters:

configurationTypeUpdate - Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

Returns:

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

See Also:

ConfigurationType

withConfigurationTypeUpdate

public ParallelismConfigurationUpdate withConfigurationTypeUpdate(ConfigurationType configurationTypeUpdate)

Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

Parameters:

configurationTypeUpdate - Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

Returns:

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

See Also:

ConfigurationType

setParallelismUpdate

public void setParallelismUpdate(Integer parallelismUpdate)

Describes updates to the initial number of parallel tasks an application can perform. If AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the CurrentParallelism value in response to application load. The service can increase CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by requesting a limit increase. If application load is reduced, the service will reduce CurrentParallelism down to the Parallelism setting.

Parameters:

parallelismUpdate - Describes updates to the initial number of parallel tasks an application can perform. If AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the CurrentParallelism value in response to application load. The service can increase CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by requesting a limit increase. If application load is reduced, the service will reduce CurrentParallelism down to the Parallelism setting.

getParallelismUpdate

public Integer getParallelismUpdate()

Describes updates to the initial number of parallel tasks an application can perform. If AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the CurrentParallelism value in response to application load. The service can increase CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by requesting a limit increase. If application load is reduced, the service will reduce CurrentParallelism down to the Parallelism setting.

Returns:

Describes updates to the initial number of parallel tasks an application can perform. If AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the CurrentParallelism value in response to application load. The service can increase CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by requesting a limit increase. If application load is reduced, the service will reduce CurrentParallelism down to the Parallelism setting.

withParallelismUpdate

public ParallelismConfigurationUpdate withParallelismUpdate(Integer parallelismUpdate)

Describes updates to the initial number of parallel tasks an application can perform. If AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the CurrentParallelism value in response to application load. The service can increase CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by requesting a limit increase. If application load is reduced, the service will reduce CurrentParallelism down to the Parallelism setting.

Parameters:

parallelismUpdate - Describes updates to the initial number of parallel tasks an application can perform. If AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the CurrentParallelism value in response to application load. The service can increase CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by requesting a limit increase. If application load is reduced, the service will reduce CurrentParallelism down to the Parallelism setting.

Returns:

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

setParallelismPerKPUUpdate

public void setParallelismPerKPUUpdate(Integer parallelismPerKPUUpdate)

Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

Parameters:

parallelismPerKPUUpdate - Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

getParallelismPerKPUUpdate

public Integer getParallelismPerKPUUpdate()

Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

Returns:

Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

withParallelismPerKPUUpdate

public ParallelismConfigurationUpdate withParallelismPerKPUUpdate(Integer parallelismPerKPUUpdate)

Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

Parameters:

parallelismPerKPUUpdate - Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

Returns:

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

setAutoScalingEnabledUpdate

public void setAutoScalingEnabledUpdate(Boolean autoScalingEnabledUpdate)

Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.

Parameters:

autoScalingEnabledUpdate - Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.

getAutoScalingEnabledUpdate

public Boolean getAutoScalingEnabledUpdate()

Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.

Returns:

Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.

withAutoScalingEnabledUpdate

public ParallelismConfigurationUpdate withAutoScalingEnabledUpdate(Boolean autoScalingEnabledUpdate)

Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.

Parameters:

autoScalingEnabledUpdate - Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.

Returns:

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

isAutoScalingEnabledUpdate

public Boolean isAutoScalingEnabledUpdate()

Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.

Returns:

Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.

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 ParallelismConfigurationUpdate clone()

Overrides:

clone in class Object

marshall

public void marshall(ProtocolMarshaller protocolMarshaller)

Description copied from interface: StructuredPojo

Marshalls this structured data using the given ProtocolMarshaller.

Specified by:

marshall in interface StructuredPojo

Parameters:

protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.