Struct rusoto_kinesisanalyticsv2::Input
source · [−]pub struct Input {
pub input_parallelism: Option<InputParallelism>,
pub input_processing_configuration: Option<InputProcessingConfiguration>,
pub input_schema: SourceSchema,
pub kinesis_firehose_input: Option<KinesisFirehoseInput>,
pub kinesis_streams_input: Option<KinesisStreamsInput>,
pub name_prefix: String,
}
Expand description
When you configure the application input for a SQL-based Kinesis Data Analytics application, you specify the streaming source, the in-application stream name that is created, and the mapping between the two.
Fields
input_parallelism: Option<InputParallelism>
Describes the number of in-application streams to create.
input_processing_configuration: Option<InputProcessingConfiguration>
The InputProcessingConfiguration for the input. An input processor transforms records as they are received from the stream, before the application's SQL code executes. Currently, the only input processing configuration available is InputLambdaProcessor.
input_schema: SourceSchema
Describes the format of the data in the streaming source, and how each data element maps to corresponding columns in the in-application stream that is being created.
Also used to describe the format of the reference data source.
kinesis_firehose_input: Option<KinesisFirehoseInput>
If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream's ARN.
kinesis_streams_input: Option<KinesisStreamsInput>
If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN).
name_prefix: String
The name prefix to use when creating an in-application stream. Suppose that you specify a prefix "MyInApplicationStream
." Kinesis Data Analytics then creates one or more (as per the InputParallelism
count you specified) in-application streams with the names "MyInApplicationStream_001
," "MyInApplicationStream_002
," and so on.
Trait Implementations
impl StructuralPartialEq for Input
Auto Trait Implementations
impl RefUnwindSafe for Input
impl Send for Input
impl Sync for Input
impl Unpin for Input
impl UnwindSafe for Input
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