Struct aws_sdk_kinesisanalyticsv2::model::Input [−][src]
#[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>,
}
Expand description
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)
This struct is marked as non-exhaustive
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
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.
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.
If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN).
If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream's ARN.
Describes the number of in-application streams to create.
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.
Trait Implementations
Auto Trait Implementations
impl RefUnwindSafe for Input
impl UnwindSafe for Input
Blanket Implementations
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