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Class: Aws::KinesisAnalyticsV2::Types::ParallelismConfigurationDescription
- Inherits:
-
Struct
- Object
- Struct
- Aws::KinesisAnalyticsV2::Types::ParallelismConfigurationDescription
- Defined in:
- (unknown)
Overview
Describes parameters for how a Flink-based Kinesis Data Analytics application executes multiple tasks simultaneously.
Returned by:
Instance Attribute Summary collapse
-
#auto_scaling_enabled ⇒ Boolean
Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
-
#configuration_type ⇒ String
Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.
-
#current_parallelism ⇒ Integer
Describes the current number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform.
-
#parallelism ⇒ Integer
Describes the initial number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform.
-
#parallelism_per_kpu ⇒ Integer
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.
Instance Attribute Details
#auto_scaling_enabled ⇒ Boolean
Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
#configuration_type ⇒ String
Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.
Possible values:
- DEFAULT
- CUSTOM
#current_parallelism ⇒ Integer
Describes the current number of parallel tasks that a Flink-based
Kinesis Data Analytics application can perform. If AutoScalingEnabled
is 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 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.
#parallelism ⇒ Integer
Describes the initial number of parallel tasks that a Flink-based
Kinesis Data Analytics application can perform. If AutoScalingEnabled
is set to True, then Kinesis Data Analytics can increase the
CurrentParallelism
value in response to application load. The service
can increase CurrentParallelism
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.
#parallelism_per_kpu ⇒ Integer
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.