Struct rusoto_kinesisanalytics::Input

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

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.

(see Configuring Application Input.

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

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 Default for Input

fn default() -> Input

Returns the "default value" for a type.

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 Serialize for Input

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for Input