ParallelismConfigurationUpdate ¶

class ParallelismConfigurationUpdate(TypedDict, closed=True):
    configuration_type_update: NotRequired[
        "capo_kinesis_analytics_v2.types.configuration_type.ConfigurationType"
    ]
    """<p>Describes updates to whether the application uses the default parallelism for the Managed Service for Apache Flink service, or if a custom parallelism is used. 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_update: NotRequired[
        "capo_kinesis_analytics_v2.types.parallelism.Parallelism"
    ]
    """<p>Describes updates to the initial number of parallel tasks an application can perform. If <code>AutoScalingEnabled</code> is set to True, then Managed Service for Apache Flink can increase the <code>CurrentParallelism</code> value in response to application load. The service can increase <code>CurrentParallelism</code> up to the maximum parallelism, which is <code>ParalellismPerKPU</code> 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 <code>CurrentParallelism</code> down to the <code>Parallelism</code> setting.</p>"""
    parallelism_per_kpu_update: NotRequired[
        "capo_kinesis_analytics_v2.types.parallelism_per_kpu.ParallelismPerKPU"
    ]
    """<p>Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.</p>"""
    auto_scaling_enabled_update: NotRequired[
        "capo_kinesis_analytics_v2.types.boolean_object.BooleanObject"
    ]
    """<p>Describes updates to whether the Managed Service for Apache Flink service can increase the parallelism of a Managed Service for Apache Flink application in response to increased throughput.</p>"""