Struct aws_sdk_kinesisanalyticsv2::types::InputUpdate

#[non_exhaustive]
pub struct InputUpdate {
    pub input_id: String,
    pub name_prefix_update: Option<String>,
    pub input_processing_configuration_update: Option<InputProcessingConfigurationUpdate>,
    pub kinesis_streams_input_update: Option<KinesisStreamsInputUpdate>,
    pub kinesis_firehose_input_update: Option<KinesisFirehoseInputUpdate>,
    pub input_schema_update: Option<InputSchemaUpdate>,
    pub input_parallelism_update: Option<InputParallelismUpdate>,
}

For a SQL-based Kinesis Data Analytics application, describes updates to a specific input configuration (identified by the InputId of an application).

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.

input_id: String

The input ID of the application input to be updated.

name_prefix_update: Option<String>

The name prefix for in-application streams that Kinesis Data Analytics creates for the specific streaming source.

input_processing_configuration_update: Option<InputProcessingConfigurationUpdate>

Describes updates to an InputProcessingConfiguration.

kinesis_streams_input_update: Option<KinesisStreamsInputUpdate>

If a Kinesis data stream is the streaming source to be updated, provides an updated stream Amazon Resource Name (ARN).

kinesis_firehose_input_update: Option<KinesisFirehoseInputUpdate>

If a Kinesis Data Firehose delivery stream is the streaming source to be updated, provides an updated stream ARN.

input_schema_update: Option<InputSchemaUpdate>

Describes the data format on the streaming source, and how record elements on the streaming source map to columns of the in-application stream that is created.

input_parallelism_update: Option<InputParallelismUpdate>

Describes the parallelism updates (the number of in-application streams Kinesis Data Analytics creates for the specific streaming source).

Implementations

impl InputUpdate

pub fn input_id(&self) -> &str

The input ID of the application input to be updated.

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

The name prefix for in-application streams that Kinesis Data Analytics creates for the specific streaming source.

pub fn input_processing_configuration_update( &self ) -> Option<&InputProcessingConfigurationUpdate>

Describes updates to an InputProcessingConfiguration.

pub fn kinesis_streams_input_update(&self) -> Option<&KinesisStreamsInputUpdate>

If a Kinesis data stream is the streaming source to be updated, provides an updated stream Amazon Resource Name (ARN).

pub fn kinesis_firehose_input_update( &self ) -> Option<&KinesisFirehoseInputUpdate>

If a Kinesis Data Firehose delivery stream is the streaming source to be updated, provides an updated stream ARN.

pub fn input_schema_update(&self) -> Option<&InputSchemaUpdate>

Describes the data format on the streaming source, and how record elements on the streaming source map to columns of the in-application stream that is created.

pub fn input_parallelism_update(&self) -> Option<&InputParallelismUpdate>

Describes the parallelism updates (the number of in-application streams Kinesis Data Analytics creates for the specific streaming source).

impl InputUpdate

pub fn builder() -> InputUpdateBuilder

Creates a new builder-style object to manufacture InputUpdate.

Trait Implementations

impl Clone for InputUpdate

fn clone(&self) -> InputUpdate

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for InputUpdate

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

Formats the value using the given formatter.

impl PartialEq for InputUpdate

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