# Generated by default/object.tt package Paws::KinesisAnalyticsV2::InputDescription; use Moose; has InAppStreamNames => (is => 'ro', isa => 'ArrayRef[Str|Undef]'); has InputId => (is => 'ro', isa => 'Str'); has InputParallelism => (is => 'ro', isa => 'Paws::KinesisAnalyticsV2::InputParallelism'); has InputProcessingConfigurationDescription => (is => 'ro', isa => 'Paws::KinesisAnalyticsV2::InputProcessingConfigurationDescription'); has InputSchema => (is => 'ro', isa => 'Paws::KinesisAnalyticsV2::SourceSchema'); has InputStartingPositionConfiguration => (is => 'ro', isa => 'Paws::KinesisAnalyticsV2::InputStartingPositionConfiguration'); has KinesisFirehoseInputDescription => (is => 'ro', isa => 'Paws::KinesisAnalyticsV2::KinesisFirehoseInputDescription'); has KinesisStreamsInputDescription => (is => 'ro', isa => 'Paws::KinesisAnalyticsV2::KinesisStreamsInputDescription'); has NamePrefix => (is => 'ro', isa => 'Str'); 1; ### main pod documentation begin ### =head1 NAME Paws::KinesisAnalyticsV2::InputDescription =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::InputDescription object: $service_obj->Method(Att1 => { InAppStreamNames => $value, ..., NamePrefix => $value }); =head3 Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::KinesisAnalyticsV2::InputDescription object: $result = $service_obj->Method(...); $result->Att1->InAppStreamNames =head1 DESCRIPTION Describes the application input configuration for a SQL-based Kinesis Data Analytics application. =head1 ATTRIBUTES =head2 InAppStreamNames => ArrayRef[Str|Undef] Returns the in-application stream names that are mapped to the stream source. =head2 InputId => Str The input ID that is associated with the application input. This is the ID that Kinesis Data Analytics assigns to each input configuration that you add to your application. =head2 InputParallelism => L Describes the configured parallelism (number of in-application streams mapped to the streaming source). =head2 InputProcessingConfigurationDescription => L The description of the preprocessor that executes on records in this input before the application's code is run. =head2 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. =head2 InputStartingPositionConfiguration => L The point at which the application is configured to read from the input stream. =head2 KinesisFirehoseInputDescription => L If a Kinesis Data Firehose delivery stream is configured as a streaming source, provides the delivery stream's ARN. =head2 KinesisStreamsInputDescription => L If a Kinesis data stream is configured as a streaming source, provides the Kinesis data stream's Amazon Resource Name (ARN). =head2 NamePrefix => Str The in-application name prefix. =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