@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class ParallelismConfigurationUpdate extends Object implements Serializable, Cloneable, StructuredPojo
Describes updates to parameters for how a Java-based Kinesis Data Analytics application executes multiple tasks simultaneously.
Constructor and Description |
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ParallelismConfigurationUpdate() |
Modifier and Type | Method and Description |
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ParallelismConfigurationUpdate |
clone() |
boolean |
equals(Object obj) |
Boolean |
getAutoScalingEnabledUpdate()
Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of the 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 the 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 the 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 the 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.
|
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.
configurationTypeUpdate
- Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics
service, or if a custom parallelism is used.ConfigurationType
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.
ConfigurationType
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.
configurationTypeUpdate
- Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics
service, or if a custom parallelism is used.ConfigurationType
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.
configurationTypeUpdate
- Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics
service, or if a custom parallelism is used.ConfigurationType
public void setParallelismUpdate(Integer parallelismUpdate)
Describes updates to the initial number of parallel tasks an application can perform.
parallelismUpdate
- Describes updates to the initial number of parallel tasks an application can perform.public Integer getParallelismUpdate()
Describes updates to the initial number of parallel tasks an application can perform.
public ParallelismConfigurationUpdate withParallelismUpdate(Integer parallelismUpdate)
Describes updates to the initial number of parallel tasks an application can perform.
parallelismUpdate
- Describes updates to the initial number of parallel tasks an application can perform.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.
parallelismPerKPUUpdate
- Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit
(KPU) used by the application.public Integer getParallelismPerKPUUpdate()
Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.
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.
parallelismPerKPUUpdate
- Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit
(KPU) used by the application.public void setAutoScalingEnabledUpdate(Boolean autoScalingEnabledUpdate)
Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
autoScalingEnabledUpdate
- Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of the
application in response to increased throughput.public Boolean getAutoScalingEnabledUpdate()
Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
public ParallelismConfigurationUpdate withAutoScalingEnabledUpdate(Boolean autoScalingEnabledUpdate)
Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
autoScalingEnabledUpdate
- Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of the
application in response to increased throughput.public Boolean isAutoScalingEnabledUpdate()
Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
public String toString()
toString
in class Object
Object.toString()
public ParallelismConfigurationUpdate clone()
public void marshall(ProtocolMarshaller protocolMarshaller)
StructuredPojo
ProtocolMarshaller
.marshall
in interface StructuredPojo
protocolMarshaller
- Implementation of ProtocolMarshaller
used to marshall this object's data.Copyright © 2013 Amazon Web Services, Inc. All Rights Reserved.