Input
¶
Used by
-
AsyncKinesisAnalyticsClient Operationsadd_application_input -
KinesisAnalyticsClient Operationsadd_application_input
Source code in docs_src/capo_kinesis_analytics/types/input.py
input_parallelism
instance-attribute
¶
input_parallelism: NotRequired[InputParallelism]
Describes the number of in-application streams to create.
Data from your source is routed to these in-application input streams.
input_processing_configuration
instance-attribute
¶
input_processing_configuration: NotRequired[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
instance-attribute
¶
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
instance-attribute
¶
kinesis_firehose_input: NotRequired[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
instance-attribute
¶
kinesis_streams_input: NotRequired[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
instance-attribute
¶
name_prefix: InAppStreamName
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.