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::LookoutMetrics::CreateMetricSet; use Moose; has AnomalyDetectorArn => (is => 'ro', isa => 'Str', required => 1); has DimensionList => (is => 'ro', isa => 'ArrayRef[Str|Undef]'); has MetricList => (is => 'ro', isa => 'ArrayRef[Paws::LookoutMetrics::Metric]', required => 1); has MetricSetDescription => (is => 'ro', isa => 'Str'); has MetricSetFrequency => (is => 'ro', isa => 'Str'); has MetricSetName => (is => 'ro', isa => 'Str', required => 1); has MetricSource => (is => 'ro', isa => 'Paws::LookoutMetrics::MetricSource', required => 1); has Offset => (is => 'ro', isa => 'Int'); has Tags => (is => 'ro', isa => 'Paws::LookoutMetrics::TagMap'); has TimestampColumn => (is => 'ro', isa => 'Paws::LookoutMetrics::TimestampColumn'); has Timezone => (is => 'ro', isa => 'Str'); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'CreateMetricSet'); class_has _api_uri => (isa => 'Str', is => 'ro', default => '/CreateMetricSet'); class_has _api_method => (isa => 'Str', is => 'ro', default => 'POST'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::LookoutMetrics::CreateMetricSetResponse'); 1; ### main pod documentation begin ### =head1 NAME Paws::LookoutMetrics::CreateMetricSet - Arguments for method CreateMetricSet on L =head1 DESCRIPTION This class represents the parameters used for calling the method CreateMetricSet on the L service. Use the attributes of this class as arguments to method CreateMetricSet. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateMetricSet. =head1 SYNOPSIS my $lookoutmetrics = Paws->service('LookoutMetrics'); my $CreateMetricSetResponse = $lookoutmetrics->CreateMetricSet( AnomalyDetectorArn => 'MyArn', MetricList => [ { AggregationFunction => 'AVG', # values: AVG, SUM MetricName => 'MyColumnName', # min: 1, max: 63 Namespace => 'MyNamespace', # min: 1, max: 255; OPTIONAL }, ... ], MetricSetName => 'MyMetricSetName', MetricSource => { AppFlowConfig => { FlowName => 'MyFlowName', # max: 256 RoleArn => 'MyArn', # max: 256 }, # OPTIONAL CloudWatchConfig => { RoleArn => 'MyArn', # max: 256 }, # OPTIONAL RDSSourceConfig => { DBInstanceIdentifier => 'MyRDSDatabaseIdentifier', # min: 1, max: 63 DatabaseHost => 'MyDatabaseHost', # min: 1, max: 253 DatabaseName => 'MyRDSDatabaseName', # min: 1, max: 64 DatabasePort => 1, # min: 1, max: 65535 RoleArn => 'MyArn', # max: 256 SecretManagerArn => 'MyPoirotSecretManagerArn', # max: 256 TableName => 'MyTableName', # min: 1, max: 100 VpcConfiguration => { SecurityGroupIdList => [ 'MySecurityGroupId', ... # min: 1, max: 255 ], SubnetIdList => [ 'MySubnetId', ... # max: 255 ], }, }, # OPTIONAL RedshiftSourceConfig => { ClusterIdentifier => 'MyRedshiftClusterIdentifier', # min: 1, max: 63 DatabaseHost => 'MyDatabaseHost', # min: 1, max: 253 DatabaseName => 'MyRedshiftDatabaseName', # min: 1, max: 100 DatabasePort => 1, # min: 1, max: 65535 RoleArn => 'MyArn', # max: 256 SecretManagerArn => 'MyPoirotSecretManagerArn', # max: 256 TableName => 'MyTableName', # min: 1, max: 100 VpcConfiguration => { SecurityGroupIdList => [ 'MySecurityGroupId', ... # min: 1, max: 255 ], SubnetIdList => [ 'MySubnetId', ... # max: 255 ], }, }, # OPTIONAL S3SourceConfig => { RoleArn => 'MyArn', # max: 256 FileFormatDescriptor => { CsvFormatDescriptor => { Charset => 'MyCharset', # max: 63; OPTIONAL ContainsHeader => 1, # OPTIONAL Delimiter => 'MyDelimiter', # max: 1; OPTIONAL FileCompression => 'NONE', # values: NONE, GZIP; OPTIONAL HeaderList => [ 'MyColumnName', ... # min: 1, max: 63 ], # OPTIONAL QuoteSymbol => 'MyQuoteSymbol', # max: 1; OPTIONAL }, # OPTIONAL JsonFormatDescriptor => { Charset => 'MyCharset', # max: 63; OPTIONAL FileCompression => 'NONE', # values: NONE, GZIP; OPTIONAL }, # OPTIONAL }, # OPTIONAL HistoricalDataPathList => [ 'MyHistoricalDataPath', ... # max: 1024 ], # min: 1, max: 1; OPTIONAL TemplatedPathList => [ 'MyTemplatedPath', ... # max: 1024 ], # min: 1, max: 1; OPTIONAL }, # OPTIONAL }, DimensionList => [ 'MyColumnName', ... # min: 1, max: 63 ], # OPTIONAL MetricSetDescription => 'MyMetricSetDescription', # OPTIONAL MetricSetFrequency => 'P1D', # OPTIONAL Offset => 1, # OPTIONAL Tags => { 'MyTagKey' => 'MyTagValue', # key: min: 1, max: 128, value: max: 256 }, # OPTIONAL TimestampColumn => { ColumnFormat => 'MyDateTimeFormat', # max: 63; OPTIONAL ColumnName => 'MyColumnName', # min: 1, max: 63 }, # OPTIONAL Timezone => 'MyTimezone', # OPTIONAL ); # Results: my $MetricSetArn = $CreateMetricSetResponse->MetricSetArn; # 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 B AnomalyDetectorArn => Str The ARN of the anomaly detector that will use the dataset. =head2 DimensionList => ArrayRef[Str|Undef] A list of the fields you want to treat as dimensions. =head2 B MetricList => ArrayRef[L] A list of metrics that the dataset will contain. =head2 MetricSetDescription => Str A description of the dataset you are creating. =head2 MetricSetFrequency => Str The frequency with which the source data will be analyzed for anomalies. Valid values are: C<"P1D">, C<"PT1H">, C<"PT10M">, C<"PT5M"> =head2 B MetricSetName => Str The name of the dataset. =head2 B MetricSource => L Contains information about how the source data should be interpreted. =head2 Offset => Int After an interval ends, the amount of seconds that the detector waits before importing data. Offset is only supported for S3 and Redshift datasources. =head2 Tags => L A list of tags (https://docs.aws.amazon.com/lookoutmetrics/latest/dev/detectors-tags.html) to apply to the dataset. =head2 TimestampColumn => L Contains information about the column used for tracking time in your source data. =head2 Timezone => Str The time zone in which your source data was recorded. =head1 SEE ALSO This class forms part of L, documenting arguments for method CreateMetricSet in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut