PNG  IHDR;IDATxܻn0K )(pA 7LeG{ §㻢|ذaÆ 6lذaÆ 6lذaÆ 6lom$^yذag5bÆ 6lذaÆ 6lذa{ 6lذaÆ `}HFkm,mӪôô! x|'ܢ˟;E:9&ᶒ}{v]n&6 h_tڠ͵-ҫZ;Z$.Pkž)!o>}leQfJTu іچ\X=8Rن4`Vwl>nG^is"ms$ui?wbs[m6K4O.4%/bC%t Mז -lG6mrz2s%9s@-k9=)kB5\+͂Zsٲ Rn~GRC wIcIn7jJhۛNCS|j08yiHKֶۛkɈ+;SzL/F*\Ԕ#"5m2[S=gnaPeғL lذaÆ 6l^ḵaÆ 6lذaÆ 6lذa; _ذaÆ 6lذaÆ 6lذaÆ RIENDB` # Generated by default/object.tt package Paws::KinesisAnalytics::InputDescription; use Moose; has InAppStreamNames => (is => 'ro', isa => 'ArrayRef[Str|Undef]'); has InputId => (is => 'ro', isa => 'Str'); has InputParallelism => (is => 'ro', isa => 'Paws::KinesisAnalytics::InputParallelism'); has InputProcessingConfigurationDescription => (is => 'ro', isa => 'Paws::KinesisAnalytics::InputProcessingConfigurationDescription'); has InputSchema => (is => 'ro', isa => 'Paws::KinesisAnalytics::SourceSchema'); has InputStartingPositionConfiguration => (is => 'ro', isa => 'Paws::KinesisAnalytics::InputStartingPositionConfiguration'); has KinesisFirehoseInputDescription => (is => 'ro', isa => 'Paws::KinesisAnalytics::KinesisFirehoseInputDescription'); has KinesisStreamsInputDescription => (is => 'ro', isa => 'Paws::KinesisAnalytics::KinesisStreamsInputDescription'); has NamePrefix => (is => 'ro', isa => 'Str'); 1; ### main pod documentation begin ### =head1 NAME Paws::KinesisAnalytics::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::KinesisAnalytics::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::KinesisAnalytics::InputDescription object: $result = $service_obj->Method(...); $result->Att1->InAppStreamNames =head1 DESCRIPTION Describes the application input configuration. For more information, see Configuring Application Input (https://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html). =head1 ATTRIBUTES =head2 InAppStreamNames => ArrayRef[Str|Undef] Returns the in-application stream names that are mapped to the stream source. =head2 InputId => Str Input ID associated with the application input. This is the ID that Amazon Kinesis Analytics assigns to each input configuration 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 Point at which the application is configured to read from the input stream. =head2 KinesisFirehoseInputDescription => L If an Amazon Kinesis Firehose delivery stream is configured as a streaming source, provides the delivery stream's ARN and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf. =head2 KinesisStreamsInputDescription => L If an Amazon Kinesis stream is configured as streaming source, provides Amazon Kinesis stream's Amazon Resource Name (ARN) and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf. =head2 NamePrefix => Str 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