Struct aws_sdk_kinesisanalytics::types::Input

#[non_exhaustive]
pub struct Input {
    pub name_prefix: 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, 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 (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: 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.

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 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.

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.

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.

(see Configuring Application Input.

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) -> &str

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.

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 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.

pub fn kinesis_firehose_input(&self) -> 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.

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

Describes the number of in-application streams to create.

Data from your source is routed to these in-application input streams.

(see Configuring Application Input.

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() -> InputBuilder

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 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: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for Input