For new projects, we recommend that you use the new Kinesis Data Analytics Studio over Kinesis Data Analytics for SQL Applications. Kinesis Data Analytics Studio combines ease of use with advanced analytical capabilities, enabling you to build sophisticated stream processing applications in minutes.
Input
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.
Contents
- 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.
Type: InputParallelism object
Required: No
- 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.
Type: InputProcessingConfiguration object
Required: No
- InputSchema
-
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.
Type: SourceSchema object
Required: Yes
- 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
KinesisStreamsInputorKinesisFirehoseInputis required.Type: KinesisFirehoseInput object
Required: No
- 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
KinesisStreamsInputorKinesisFirehoseInputis required.Type: KinesisStreamsInput object
Required: No
- NamePrefix
-
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
InputParallelismcount you specified) in-application streams with names "MyInApplicationStream_001," "MyInApplicationStream_002," and so on.Type: String
Length Constraints: Minimum length of 1. Maximum length of 32.
Required: Yes
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
