Struct aws_sdk_kinesisanalyticsv2::model::ParallelismConfiguration [−][src]
#[non_exhaustive]pub struct ParallelismConfiguration {
pub configuration_type: Option<ConfigurationType>,
pub parallelism: Option<i32>,
pub parallelism_per_kpu: Option<i32>,
pub auto_scaling_enabled: Option<bool>,
}
Expand description
Describes parameters for how a Flink-based Kinesis Data Analytics application executes multiple tasks simultaneously. For more information about parallelism, see Parallel Execution in the Apache Flink Documentation.
Fields (Non-exhaustive)
This struct is marked as non-exhaustive
Struct { .. }
syntax; cannot be matched against without a wildcard ..
; and struct update syntax will not work.configuration_type: Option<ConfigurationType>
Describes whether the application uses the default parallelism for the Kinesis Data Analytics service. You must set this property to CUSTOM
in order to change your application's AutoScalingEnabled
, Parallelism
, or ParallelismPerKPU
properties.
parallelism: Option<i32>
Describes the initial number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform. If AutoScalingEnabled
is set to True, Kinesis Data Analytics 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 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: Option<i32>
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. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing.
auto_scaling_enabled: Option<bool>
Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
Implementations
Describes whether the application uses the default parallelism for the Kinesis Data Analytics service. You must set this property to CUSTOM
in order to change your application's AutoScalingEnabled
, Parallelism
, or ParallelismPerKPU
properties.
Describes the initial number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform. If AutoScalingEnabled
is set to True, Kinesis Data Analytics 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 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.
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. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing.
Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
Creates a new builder-style object to manufacture ParallelismConfiguration
Trait Implementations
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
This method tests for !=
.
Auto Trait Implementations
impl RefUnwindSafe for ParallelismConfiguration
impl Send for ParallelismConfiguration
impl Sync for ParallelismConfiguration
impl Unpin for ParallelismConfiguration
impl UnwindSafe for ParallelismConfiguration
Blanket Implementations
Mutably borrows from an owned value. Read more
Attaches the provided Subscriber
to this type, returning a
WithDispatch
wrapper. Read more
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more