com.amazonaws.services.kinesisanalyticsv2.model

Class ParallelismConfiguration

java.lang.Object

com.amazonaws.services.kinesisanalyticsv2.model.ParallelismConfiguration

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

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

Describes parameters for how a Java-based Amazon Kinesis Data Analytics application executes multiple tasks simultaneously. For more information about parallelism, see Parallel Execution in the Apache Flink Documentation.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
ParallelismConfiguration()

Method Summary

Modifier and Type	Method and Description
ParallelismConfiguration	clone()
boolean	equals(Object obj)
Boolean	getAutoScalingEnabled() Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
String	getConfigurationType() Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.
Integer	getParallelism() Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform.
Integer	getParallelismPerKPU() Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application.
int	hashCode()
Boolean	isAutoScalingEnabled() Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
void	marshall(ProtocolMarshaller protocolMarshaller) Marshalls this structured data using the given ProtocolMarshaller.
void	setAutoScalingEnabled(Boolean autoScalingEnabled) Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
void	setConfigurationType(String configurationType) Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.
void	setParallelism(Integer parallelism) Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform.
void	setParallelismPerKPU(Integer parallelismPerKPU) Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application.
String	toString() Returns a string representation of this object.
ParallelismConfiguration	withAutoScalingEnabled(Boolean autoScalingEnabled) Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
ParallelismConfiguration	withConfigurationType(ConfigurationType configurationType) Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.
ParallelismConfiguration	withConfigurationType(String configurationType) Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.
ParallelismConfiguration	withParallelism(Integer parallelism) Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform.
ParallelismConfiguration	withParallelismPerKPU(Integer parallelismPerKPU) Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application.

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

ParallelismConfiguration

public ParallelismConfiguration()

Method Detail

setConfigurationType

public void setConfigurationType(String configurationType)

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

Parameters:

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

See Also:

ConfigurationType

getConfigurationType

public String getConfigurationType()

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

Returns:

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

See Also:

ConfigurationType

withConfigurationType

public ParallelismConfiguration withConfigurationType(String configurationType)

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

Parameters:

configurationType - Describes whether the application uses the default parallelism for the Kinesis Data Analytics service. 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

withConfigurationType

public ParallelismConfiguration withConfigurationType(ConfigurationType configurationType)

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

Parameters:

configurationType - Describes whether the application uses the default parallelism for the Kinesis Data Analytics service. 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

setParallelism

public void setParallelism(Integer parallelism)

Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform. If AutoScalingEnabled is set to True, Kinesis Data Analytics increases the CurrentParallelism value in response to application load. The service can increase the CurrentParallelism value 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 can reduce the CurrentParallelism value down to the Parallelism setting.

Parameters:

parallelism - Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform. If AutoScalingEnabled is set to True, Kinesis Data Analytics increases the CurrentParallelism value in response to application load. The service can increase the CurrentParallelism value 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 can reduce the CurrentParallelism value down to the Parallelism setting.

getParallelism

public Integer getParallelism()

Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform. If AutoScalingEnabled is set to True, Kinesis Data Analytics increases the CurrentParallelism value in response to application load. The service can increase the CurrentParallelism value 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 can reduce the CurrentParallelism value down to the Parallelism setting.

Returns:

Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform. If AutoScalingEnabled is set to True, Kinesis Data Analytics increases the CurrentParallelism value in response to application load. The service can increase the CurrentParallelism value 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 can reduce the CurrentParallelism value down to the Parallelism setting.

withParallelism

public ParallelismConfiguration withParallelism(Integer parallelism)

Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform. If AutoScalingEnabled is set to True, Kinesis Data Analytics increases the CurrentParallelism value in response to application load. The service can increase the CurrentParallelism value 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 can reduce the CurrentParallelism value down to the Parallelism setting.

Parameters:

parallelism - Describes the initial number of parallel tasks that a Java-based Kinesis Data Analytics application can perform. If AutoScalingEnabled is set to True, Kinesis Data Analytics increases the CurrentParallelism value in response to application load. The service can increase the CurrentParallelism value 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 can reduce the CurrentParallelism value down to the Parallelism setting.

Returns:

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

setParallelismPerKPU

public void setParallelismPerKPU(Integer parallelismPerKPU)

Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing.

Parameters:

parallelismPerKPU - Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing.

getParallelismPerKPU

public Integer getParallelismPerKPU()

Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing.

Returns:

Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing.

withParallelismPerKPU

public ParallelismConfiguration withParallelismPerKPU(Integer parallelismPerKPU)

Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing.

Parameters:

parallelismPerKPU - Describes the number of parallel tasks that a Java-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing.

Returns:

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

setAutoScalingEnabled

public void setAutoScalingEnabled(Boolean autoScalingEnabled)

Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.

Parameters:

autoScalingEnabled - Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.

getAutoScalingEnabled

public Boolean getAutoScalingEnabled()

Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.

Returns:

Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.

withAutoScalingEnabled

public ParallelismConfiguration withAutoScalingEnabled(Boolean autoScalingEnabled)

Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.

Parameters:

autoScalingEnabled - Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.

Returns:

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

isAutoScalingEnabled

public Boolean isAutoScalingEnabled()

Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.

Returns:

Describes whether the Kinesis Data Analytics service can increase the parallelism of the 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 ParallelismConfiguration 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.