[−][src]Struct rusoto_kinesisanalyticsv2::ParallelismConfiguration
Describes parameters for how a Java-based Amazon Kinesis Data Analytics application executes multiple tasks simultaneously. For more information about parallelism, see Parallel Execution in the Apache Flink Documentation.
Fields
auto_scaling_enabled: Option<bool>
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. You must set this property to CUSTOM
in order to change your application's AutoScalingEnabled
, Parallelism
, or ParallelismPerKPU
properties.
parallelism: Option<i64>
Describes the initial number of parallel tasks that a Java-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<i64>
Describes the number of parallel tasks that a Java-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.
Trait Implementations
impl Clone for ParallelismConfiguration
[src]
pub fn clone(&self) -> ParallelismConfiguration
[src]
pub fn clone_from(&mut self, source: &Self)
1.0.0[src]
impl Debug for ParallelismConfiguration
[src]
impl Default for ParallelismConfiguration
[src]
pub fn default() -> ParallelismConfiguration
[src]
impl PartialEq<ParallelismConfiguration> for ParallelismConfiguration
[src]
pub fn eq(&self, other: &ParallelismConfiguration) -> bool
[src]
pub fn ne(&self, other: &ParallelismConfiguration) -> bool
[src]
impl Serialize for ParallelismConfiguration
[src]
pub fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
__S: Serializer,
[src]
__S: Serializer,
impl StructuralPartialEq for ParallelismConfiguration
[src]
Auto Trait Implementations
impl RefUnwindSafe for ParallelismConfiguration
[src]
impl Send for ParallelismConfiguration
[src]
impl Sync for ParallelismConfiguration
[src]
impl Unpin for ParallelismConfiguration
[src]
impl UnwindSafe for ParallelismConfiguration
[src]
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
[src]
T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
[src]
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
[src]
T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
[src]
impl<T> From<T> for T
[src]
impl<T> Instrument for T
[src]
pub fn instrument(self, span: Span) -> Instrumented<Self>
[src]
pub fn in_current_span(self) -> Instrumented<Self>
[src]
impl<T> Instrument for T
[src]
pub fn instrument(self, span: Span) -> Instrumented<Self>
[src]
pub fn in_current_span(self) -> Instrumented<Self>
[src]
impl<T, U> Into<U> for T where
U: From<T>,
[src]
U: From<T>,
impl<T> Same<T> for T
type Output = T
Should always be Self
impl<T> ToOwned for T where
T: Clone,
[src]
T: Clone,
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
[src]
pub fn clone_into(&self, target: &mut T)
[src]
impl<T, U> TryFrom<U> for T where
U: Into<T>,
[src]
U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
[src]
impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
[src]
U: TryFrom<T>,