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` package Paws::KinesisAnalyticsV2::DiscoverInputSchema; use Moose; has InputProcessingConfiguration => (is => 'ro', isa => 'Paws::KinesisAnalyticsV2::InputProcessingConfiguration'); has InputStartingPositionConfiguration => (is => 'ro', isa => 'Paws::KinesisAnalyticsV2::InputStartingPositionConfiguration'); has ResourceARN => (is => 'ro', isa => 'Str'); has S3Configuration => (is => 'ro', isa => 'Paws::KinesisAnalyticsV2::S3Configuration'); has ServiceExecutionRole => (is => 'ro', isa => 'Str', required => 1); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'DiscoverInputSchema'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::KinesisAnalyticsV2::DiscoverInputSchemaResponse'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::KinesisAnalyticsV2::DiscoverInputSchema - Arguments for method DiscoverInputSchema on L =head1 DESCRIPTION This class represents the parameters used for calling the method DiscoverInputSchema on the L service. Use the attributes of this class as arguments to method DiscoverInputSchema. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to DiscoverInputSchema. =head1 SYNOPSIS my $kinesisanalytics = Paws->service('KinesisAnalyticsV2'); my $DiscoverInputSchemaResponse = $kinesisanalytics->DiscoverInputSchema( ServiceExecutionRole => 'MyRoleARN', InputProcessingConfiguration => { InputLambdaProcessor => { ResourceARN => 'MyResourceARN', # min: 1, max: 2048 }, }, # OPTIONAL InputStartingPositionConfiguration => { InputStartingPosition => 'NOW', # values: NOW, TRIM_HORIZON, LAST_STOPPED_POINT; OPTIONAL }, # OPTIONAL ResourceARN => 'MyResourceARN', # OPTIONAL S3Configuration => { BucketARN => 'MyBucketARN', # min: 1, max: 2048 FileKey => 'MyFileKey', # min: 1, max: 1024 }, # OPTIONAL ); # Results: my $InputSchema = $DiscoverInputSchemaResponse->InputSchema; my $ParsedInputRecords = $DiscoverInputSchemaResponse->ParsedInputRecords; my $ProcessedInputRecords = $DiscoverInputSchemaResponse->ProcessedInputRecords; my $RawInputRecords = $DiscoverInputSchemaResponse->RawInputRecords; # Returns a L object. Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see L =head1 ATTRIBUTES =head2 InputProcessingConfiguration => L The InputProcessingConfiguration to use to preprocess the records before discovering the schema of the records. =head2 InputStartingPositionConfiguration => L The point at which you want Kinesis Data Analytics to start reading records from the specified streaming source discovery purposes. =head2 ResourceARN => Str The Amazon Resource Name (ARN) of the streaming source. =head2 S3Configuration => L Specify this parameter to discover a schema from data in an Amazon S3 object. =head2 B ServiceExecutionRole => Str The ARN of the role that is used to access the streaming source. =head1 SEE ALSO This class forms part of L, documenting arguments for method DiscoverInputSchema in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut