Struct aws_sdk_kinesisanalyticsv2::types::builders::InputBuilder

#[non_exhaustive]
pub struct InputBuilder { /* private fields */ }

A builder for Input.

Implementations

impl InputBuilder

pub fn name_prefix(self, input: impl Into<String>) -> Self

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.

This field is required.

pub fn set_name_prefix(self, input: Option<String>) -> Self

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 get_name_prefix(&self) -> &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.

pub fn input_processing_configuration( self, input: InputProcessingConfiguration, ) -> Self

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 set_input_processing_configuration( self, input: Option<InputProcessingConfiguration>, ) -> Self

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 get_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, input: KinesisStreamsInput) -> Self

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

pub fn set_kinesis_streams_input( self, input: Option<KinesisStreamsInput>, ) -> Self

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

pub fn get_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, input: KinesisFirehoseInput) -> Self

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

pub fn set_kinesis_firehose_input( self, input: Option<KinesisFirehoseInput>, ) -> Self

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

pub fn get_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, input: InputParallelism) -> Self

Describes the number of in-application streams to create.

pub fn set_input_parallelism(self, input: Option<InputParallelism>) -> Self

Describes the number of in-application streams to create.

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

Describes the number of in-application streams to create.

pub fn input_schema(self, input: SourceSchema) -> Self

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.

This field is required.

pub fn set_input_schema(self, input: Option<SourceSchema>) -> Self

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.

pub fn get_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.

pub fn build(self) -> Result<Input, BuildError>

Consumes the builder and constructs a Input. This method will fail if any of the following fields are not set:

• name_prefix

Trait Implementations

impl Clone for InputBuilder

fn clone(&self) -> InputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for InputBuilder

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

Formats the value using the given formatter.

impl Default for InputBuilder

fn default() -> InputBuilder

Returns the “default value” for a type.

impl PartialEq for InputBuilder

fn eq(&self, other: &InputBuilder) -> 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 InputBuilder