[−][src]Struct rusoto_kinesisanalytics::Input
When you configure the application input, you specify the streaming source, the in-application stream name that is created, and the mapping between the two. For more information, see Configuring Application Input.
Fields
input_parallelism: Option<InputParallelism>
Describes the number of in-application streams to create.
Data from your source is routed to these in-application input streams.
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 Firehose delivery stream, identifies the delivery stream's ARN and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
Note: Either KinesisStreamsInput
or KinesisFirehoseInput
is required.
kinesis_streams_input: Option<KinesisStreamsInput>
If the streaming source is an Amazon Kinesis stream, identifies the stream's Amazon Resource Name (ARN) and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
Note: Either KinesisStreamsInput
or KinesisFirehoseInput
is required.
name_prefix: String
Name prefix to use when creating an in-application stream. Suppose that you specify a prefix "MyInApplicationStream." Amazon Kinesis Analytics then creates one or more (as per the InputParallelism
count you specified) in-application streams with names "MyInApplicationStream_001," "MyInApplicationStream_002," and so on.
Trait Implementations
impl Clone for Input
[src]
impl Debug for Input
[src]
impl Default for Input
[src]
impl PartialEq<Input> for Input
[src]
impl Serialize for Input
[src]
pub fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
__S: Serializer,
[src]
__S: Serializer,
impl StructuralPartialEq for Input
[src]
Auto Trait Implementations
impl RefUnwindSafe for Input
[src]
impl Send for Input
[src]
impl Sync for Input
[src]
impl Unpin for Input
[src]
impl UnwindSafe for Input
[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>,