class Aws::KinesisAnalyticsV2::Types::Input

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.

@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
        },
      },
      kinesis_streams_input: {
        resource_arn: "ResourceARN", # required
      },
      kinesis_firehose_input: {
        resource_arn: "ResourceARN", # 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

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.
@return [String]

@!attribute [rw] input_processing_configuration

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.
@return [Types::InputProcessingConfiguration]

@!attribute [rw] kinesis_streams_input

If the streaming source is an Amazon Kinesis data stream, identifies
the stream's Amazon Resource Name (ARN).
@return [Types::KinesisStreamsInput]

@!attribute [rw] kinesis_firehose_input

If the streaming source is an Amazon Kinesis Data Firehose delivery
stream, identifies the delivery stream's ARN.
@return [Types::KinesisFirehoseInput]

@!attribute [rw] input_parallelism

Describes the number of in-application streams to create.
@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/kinesisanalyticsv2-2018-05-23/Input AWS API Documentation

Constants

SENSITIVE