#[non_exhaustive]pub struct ParallelismConfigurationUpdate {
pub configuration_type_update: Option<ConfigurationType>,
pub parallelism_update: Option<i32>,
pub parallelism_per_kpu_update: Option<i32>,
pub auto_scaling_enabled_update: Option<bool>,
}
Expand description
Describes updates to parameters for how an application executes multiple tasks simultaneously.
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_update: Option<ConfigurationType>
Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM
in order to change your application's AutoScalingEnabled
, Parallelism
, or ParallelismPerKPU
properties.
parallelism_update: Option<i32>
Describes updates to the initial number of parallel tasks an 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 will reduce CurrentParallelism
down to the Parallelism
setting.
parallelism_per_kpu_update: Option<i32>
Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.
auto_scaling_enabled_update: Option<bool>
Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.
Implementations
sourceimpl ParallelismConfigurationUpdate
impl ParallelismConfigurationUpdate
sourcepub fn configuration_type_update(&self) -> Option<&ConfigurationType>
pub fn configuration_type_update(&self) -> Option<&ConfigurationType>
Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM
in order to change your application's AutoScalingEnabled
, Parallelism
, or ParallelismPerKPU
properties.
sourcepub fn parallelism_update(&self) -> Option<i32>
pub fn parallelism_update(&self) -> Option<i32>
Describes updates to the initial number of parallel tasks an 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 will reduce CurrentParallelism
down to the Parallelism
setting.
sourcepub fn parallelism_per_kpu_update(&self) -> Option<i32>
pub fn parallelism_per_kpu_update(&self) -> Option<i32>
Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.
sourcepub fn auto_scaling_enabled_update(&self) -> Option<bool>
pub fn auto_scaling_enabled_update(&self) -> Option<bool>
Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.
sourceimpl ParallelismConfigurationUpdate
impl ParallelismConfigurationUpdate
sourcepub fn builder() -> Builder
pub fn builder() -> Builder
Creates a new builder-style object to manufacture ParallelismConfigurationUpdate
Trait Implementations
sourceimpl Clone for ParallelismConfigurationUpdate
impl Clone for ParallelismConfigurationUpdate
sourcefn clone(&self) -> ParallelismConfigurationUpdate
fn clone(&self) -> ParallelismConfigurationUpdate
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
sourceimpl PartialEq<ParallelismConfigurationUpdate> for ParallelismConfigurationUpdate
impl PartialEq<ParallelismConfigurationUpdate> for ParallelismConfigurationUpdate
sourcefn eq(&self, other: &ParallelismConfigurationUpdate) -> bool
fn eq(&self, other: &ParallelismConfigurationUpdate) -> bool
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
sourcefn ne(&self, other: &ParallelismConfigurationUpdate) -> bool
fn ne(&self, other: &ParallelismConfigurationUpdate) -> bool
This method tests for !=
.
impl StructuralPartialEq for ParallelismConfigurationUpdate
Auto Trait Implementations
impl RefUnwindSafe for ParallelismConfigurationUpdate
impl Send for ParallelismConfigurationUpdate
impl Sync for ParallelismConfigurationUpdate
impl Unpin for ParallelismConfigurationUpdate
impl UnwindSafe for ParallelismConfigurationUpdate
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<T> Instrument for T
impl<T> Instrument for T
sourcefn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
sourcefn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
sourceimpl<T> ToOwned for T where
T: Clone,
impl<T> ToOwned for T where
T: Clone,
type Owned = T
type Owned = T
The resulting type after obtaining ownership.
sourcefn clone_into(&self, target: &mut T)
fn clone_into(&self, target: &mut T)
toowned_clone_into
)Uses borrowed data to replace owned data, usually by cloning. Read more
sourceimpl<T> WithSubscriber for T
impl<T> WithSubscriber for T
sourcefn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
Attaches the provided Subscriber
to this type, returning a
WithDispatch
wrapper. Read more
sourcefn with_current_subscriber(self) -> WithDispatch<Self>
fn with_current_subscriber(self) -> WithDispatch<Self>
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more