Struct aws_sdk_kinesisanalyticsv2::model::Input

#[non_exhaustive]
pub struct Input {
    pub name_prefix: Option<String>,
    pub input_processing_configuration: Option<InputProcessingConfiguration>,
    pub kinesis_streams_input: Option<KinesisStreamsInput>,
    pub kinesis_firehose_input: Option<KinesisFirehoseInput>,
    pub input_parallelism: Option<InputParallelism>,
    pub input_schema: Option<SourceSchema>,
}

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 (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

name_prefix: Option<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.

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.

kinesis_streams_input: Option<KinesisStreamsInput>

If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN).

kinesis_firehose_input: Option<KinesisFirehoseInput>

If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream's ARN.

input_parallelism: Option<InputParallelism>

Describes the number of in-application streams to create.

input_schema: Option<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.

Implementations

impl Input

pub fn name_prefix(&self) -> Option<&str>

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.

pub fn input_processing_configuration(
    &self
) -> 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.

pub fn kinesis_streams_input(&self) -> Option<&KinesisStreamsInput>

If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN).

pub fn kinesis_firehose_input(&self) -> Option<&KinesisFirehoseInput>

If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream's ARN.

pub fn input_parallelism(&self) -> Option<&InputParallelism>

Describes the number of in-application streams to create.

pub fn input_schema(&self) -> Option<&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.

impl Input

pub fn builder() -> Builder

Creates a new builder-style object to manufacture Input

Trait Implementations

impl Clone for Input

fn clone(&self) -> Input

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Input

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq<Input> for Input

fn eq(&self, other: &Input) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Input) -> bool

This method tests for !=.

impl StructuralPartialEq for Input