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ParallelismConfiguration

Source code in docs_src/capo_kinesis_analytics_v2/types/parallelism_configuration.py 
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class ParallelismConfiguration(TypedDict, closed=True):
    configuration_type: (
        "capo_kinesis_analytics_v2.types.configuration_type.ConfigurationType"
    )
    """<p>Describes whether the application uses the default parallelism for the Managed Service for Apache Flink service. You must set this property to <code>CUSTOM</code> in order to change your application's <code>AutoScalingEnabled</code>, <code>Parallelism</code>, or <code>ParallelismPerKPU</code> properties.</p>"""
    parallelism: NotRequired["capo_kinesis_analytics_v2.types.parallelism.Parallelism"]
    """<p>Describes the initial number of parallel tasks that a Managed Service for Apache Flink application can perform. If <code>AutoScalingEnabled</code> is set to True, Managed Service for Apache Flink increases the <code>CurrentParallelism</code> value in response to application load. The service can increase the <code>CurrentParallelism</code> value up to the maximum parallelism, which is <code>ParalellismPerKPU</code> times the maximum KPUs for the application. The maximum KPUs for an application is 64 by default, and can be increased by requesting a limit increase. If application load is reduced, the service can reduce the <code>CurrentParallelism</code> value down to the <code>Parallelism</code> setting.</p>"""
    parallelism_per_kpu: NotRequired[
        "capo_kinesis_analytics_v2.types.parallelism_per_kpu.ParallelismPerKPU"
    ]
    """<p>Describes the number of parallel tasks that a Managed Service for Apache Flink application can perform per Kinesis Processing Unit (KPU) used by the application. For more information about KPUs, see <a href="http://aws.amazon.com/kinesis/data-analytics/pricing/">Amazon Managed Service for Apache Flink Pricing</a>.</p>"""
    auto_scaling_enabled: NotRequired[
        "capo_kinesis_analytics_v2.types.boolean_object.BooleanObject"
    ]
    """<p>Describes whether the Managed Service for Apache Flink service can increase the parallelism of the application in response to increased throughput.</p>"""

auto_scaling_enabled instance-attribute 

auto_scaling_enabled: NotRequired[BooleanObject]

Describes whether the Managed Service for Apache Flink service can increase the parallelism of the application in response to increased throughput.

configuration_type instance-attribute 

configuration_type: ConfigurationType

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

parallelism instance-attribute 

parallelism: NotRequired[Parallelism]

Describes the initial number of parallel tasks that a Managed Service for Apache Flink application can perform. If AutoScalingEnabled is set to True, Managed Service for Apache Flink 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 64 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.

parallelism_per_kpu instance-attribute 

parallelism_per_kpu: NotRequired[ParallelismPerKPU]

Describes the number of parallel tasks that a Managed Service for Apache Flink application can perform per Kinesis Processing Unit (KPU) used by the application. For more information about KPUs, see Amazon Managed Service for Apache Flink Pricing.