class Aws::KinesisAnalytics::Types::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].
[1]: docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html
@note When making an API call, you may pass Input
data as a hash: { name_prefix: "InAppStreamName", # required input_processing_configuration: { input_lambda_processor: { # required resource_arn: "ResourceARN", # required role_arn: "RoleARN", # required }, }, kinesis_streams_input: { resource_arn: "ResourceARN", # required role_arn: "RoleARN", # required }, kinesis_firehose_input: { resource_arn: "ResourceARN", # required role_arn: "RoleARN", # required }, input_parallelism: { count: 1, }, input_schema: { # required record_format: { # required record_format_type: "JSON", # required, accepts JSON, CSV mapping_parameters: { json_mapping_parameters: { record_row_path: "RecordRowPath", # required }, csv_mapping_parameters: { record_row_delimiter: "RecordRowDelimiter", # required record_column_delimiter: "RecordColumnDelimiter", # required }, }, }, record_encoding: "RecordEncoding", record_columns: [ # required { name: "RecordColumnName", # required mapping: "RecordColumnMapping", sql_type: "RecordColumnSqlType", # required }, ], }, }
@!attribute [rw] name_prefix
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. @return [String]
@!attribute [rw] input_processing_configuration
The [InputProcessingConfiguration][1] 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][2]. [1]: https://docs.aws.amazon.com/kinesisanalytics/latest/dev/API_InputProcessingConfiguration.html [2]: https://docs.aws.amazon.com/kinesisanalytics/latest/dev/API_InputLambdaProcessor.html @return [Types::InputProcessingConfiguration]
@!attribute [rw] kinesis_streams_input
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. @return [Types::KinesisStreamsInput]
@!attribute [rw] kinesis_firehose_input
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. @return [Types::KinesisFirehoseInput]
@!attribute [rw] input_parallelism
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][1]. [1]: https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html @return [Types::InputParallelism]
@!attribute [rw] input_schema
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. @return [Types::SourceSchema]
@see docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/Input AWS API Documentation
Constants
- SENSITIVE