# Generated by default/object.tt package Paws::KinesisAnalyticsV2::Input; use Moose; has InputParallelism => (is => 'ro', isa => 'Paws::KinesisAnalyticsV2::InputParallelism'); has InputProcessingConfiguration => (is => 'ro', isa => 'Paws::KinesisAnalyticsV2::InputProcessingConfiguration'); has InputSchema => (is => 'ro', isa => 'Paws::KinesisAnalyticsV2::SourceSchema', required => 1); has KinesisFirehoseInput => (is => 'ro', isa => 'Paws::KinesisAnalyticsV2::KinesisFirehoseInput'); has KinesisStreamsInput => (is => 'ro', isa => 'Paws::KinesisAnalyticsV2::KinesisStreamsInput'); has NamePrefix => (is => 'ro', isa => 'Str', required => 1); 1; ### main pod documentation begin ### =head1 NAME Paws::KinesisAnalyticsV2::Input =head1 USAGE This class represents one of two things: =head3 Arguments in a call to a service Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object. As an example, if Att1 is expected to be a Paws::KinesisAnalyticsV2::Input object: $service_obj->Method(Att1 => { InputParallelism => $value, ..., NamePrefix => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::KinesisAnalyticsV2::Input object: $result = $service_obj->Method(...); $result->Att1->InputParallelism =head1 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. =head1 ATTRIBUTES =head2 InputParallelism => L Describes the number of in-application streams to create. =head2 InputProcessingConfiguration => L 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. =head2 B InputSchema => L 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. =head2 KinesisFirehoseInput => L If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream's ARN. =head2 KinesisStreamsInput => L If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN). =head2 B NamePrefix => Str The name prefix to use when creating an in-application stream. Suppose that you specify a prefix "C." Kinesis Data Analytics then creates one or more (as per the C count you specified) in-application streams with the names "C," "C," and so on. =head1 SEE ALSO This class forms part of L, describing an object used in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut