Interface ParallelismConfigurationDescription.Builder
- All Superinterfaces:
 Buildable,CopyableBuilder<ParallelismConfigurationDescription.Builder,,ParallelismConfigurationDescription> SdkBuilder<ParallelismConfigurationDescription.Builder,,ParallelismConfigurationDescription> SdkPojo
- Enclosing class:
 ParallelismConfigurationDescription
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Method Summary
Modifier and TypeMethodDescriptionautoScalingEnabled(Boolean autoScalingEnabled) Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.configurationType(String configurationType) Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.configurationType(ConfigurationType configurationType) Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.currentParallelism(Integer currentParallelism) Describes the current number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform.parallelism(Integer parallelism) Describes the initial number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform.parallelismPerKPU(Integer parallelismPerKPU) Describes the number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application.Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder
copyMethods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, buildMethods inherited from interface software.amazon.awssdk.core.SdkPojo
equalsBySdkFields, sdkFields 
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Method Details
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configurationType
Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.
- Parameters:
 configurationType- Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.- Returns:
 - Returns a reference to this object so that method calls can be chained together.
 - See Also:
 
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configurationType
Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.
- Parameters:
 configurationType- Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.- Returns:
 - Returns a reference to this object so that method calls can be chained together.
 - See Also:
 
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parallelism
Describes the initial number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform. If
AutoScalingEnabledis set to True, then Kinesis Data Analytics can increase theCurrentParallelismvalue in response to application load. The service can increaseCurrentParallelismup to the maximum parallelism, which isParalellismPerKPUtimes 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 theCurrentParallelismvalue down to theParallelismsetting.- Parameters:
 parallelism- Describes the initial number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform. IfAutoScalingEnabledis set to True, then Kinesis Data Analytics can increase theCurrentParallelismvalue in response to application load. The service can increaseCurrentParallelismup to the maximum parallelism, which isParalellismPerKPUtimes 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 theCurrentParallelismvalue down to theParallelismsetting.- Returns:
 - Returns a reference to this object so that method calls can be chained together.
 
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parallelismPerKPU
Describes the number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application.
- Parameters:
 parallelismPerKPU- Describes the number of parallel tasks that a Flink-based Kinesis Data Analytics 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.
 
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currentParallelism
Describes the current number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform. If
AutoScalingEnabledis set to True, Kinesis Data Analytics can increase this value in response to application load. The service can increase this value up to the maximum parallelism, which isParalellismPerKPUtimes 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 theCurrentParallelismvalue down to theParallelismsetting.- Parameters:
 currentParallelism- Describes the current number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform. IfAutoScalingEnabledis set to True, Kinesis Data Analytics can increase this value in response to application load. The service can increase this value up to the maximum parallelism, which isParalellismPerKPUtimes 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 theCurrentParallelismvalue down to theParallelismsetting.- Returns:
 - Returns a reference to this object so that method calls can be chained together.
 
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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.
 
 
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