package Paws::MachineLearning::CreateDataSourceFromRDS; use Moose; has ComputeStatistics => (is => 'ro', isa => 'Bool'); has DataSourceId => (is => 'ro', isa => 'Str', required => 1); has DataSourceName => (is => 'ro', isa => 'Str'); has RDSData => (is => 'ro', isa => 'Paws::MachineLearning::RDSDataSpec', required => 1); has RoleARN => (is => 'ro', isa => 'Str', required => 1); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'CreateDataSourceFromRDS'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::MachineLearning::CreateDataSourceFromRDSOutput'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::MachineLearning::CreateDataSourceFromRDS - Arguments for method CreateDataSourceFromRDS on L =head1 DESCRIPTION This class represents the parameters used for calling the method CreateDataSourceFromRDS on the L service. Use the attributes of this class as arguments to method CreateDataSourceFromRDS. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateDataSourceFromRDS. =head1 SYNOPSIS my $machinelearning = Paws->service('MachineLearning'); my $CreateDataSourceFromRDSOutput = $machinelearning->CreateDataSourceFromRDS( DataSourceId => 'MyEntityId', RDSData => { DatabaseCredentials => { Password => 'MyRDSDatabasePassword', # min: 8, max: 128 Username => 'MyRDSDatabaseUsername', # min: 1, max: 128 }, DatabaseInformation => { DatabaseName => 'MyRDSDatabaseName', # min: 1, max: 64 InstanceIdentifier => 'MyRDSInstanceIdentifier', # min: 1, max: 63 }, ResourceRole => 'MyEDPResourceRole', # min: 1, max: 64 S3StagingLocation => 'MyS3Url', # max: 2048 SecurityGroupIds => [ 'MyEDPSecurityGroupId', ... # min: 1, max: 255 ], SelectSqlQuery => 'MyRDSSelectSqlQuery', # min: 1, max: 16777216 ServiceRole => 'MyEDPServiceRole', # min: 1, max: 64 SubnetId => 'MyEDPSubnetId', # min: 1, max: 255 DataRearrangement => 'MyDataRearrangement', # OPTIONAL DataSchema => 'MyDataSchema', # max: 131071; OPTIONAL DataSchemaUri => 'MyS3Url', # max: 2048 }, RoleARN => 'MyRoleARN', ComputeStatistics => 1, # OPTIONAL DataSourceName => 'MyEntityName', # OPTIONAL ); # Results: my $DataSourceId = $CreateDataSourceFromRDSOutput->DataSourceId; # 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 ComputeStatistics => Bool The compute statistics for a C. The statistics are generated from the observation data referenced by a C. Amazon ML uses the statistics internally during C training. This parameter must be set to C if the C training. >> =head2 B DataSourceId => Str A user-supplied ID that uniquely identifies the C. Typically, an Amazon Resource Number (ARN) becomes the ID for a C. =head2 DataSourceName => Str A user-supplied name or description of the C. =head2 B RDSData => L The data specification of an Amazon RDS C: =over =item * DatabaseInformation - =over =item * C - The name of the Amazon RDS database. =item * C - A unique identifier for the Amazon RDS database instance. =back =item * DatabaseCredentials - AWS Identity and Access Management (IAM) credentials that are used to connect to the Amazon RDS database. =item * ResourceRole - A role (DataPipelineDefaultResourceRole) assumed by an EC2 instance to carry out the copy task from Amazon RDS to Amazon Simple Storage Service (Amazon S3). For more information, see Role templates (https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-iam-roles.html) for data pipelines. =item * ServiceRole - A role (DataPipelineDefaultRole) assumed by the AWS Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3. For more information, see Role templates (https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-iam-roles.html) for data pipelines. =item * SecurityInfo - The security information to use to access an RDS DB instance. You need to set up appropriate ingress rules for the security entity IDs provided to allow access to the Amazon RDS instance. Specify a [C, C] pair for a VPC-based RDS DB instance. =item * SelectSqlQuery - A query that is used to retrieve the observation data for the C. =item * S3StagingLocation - The Amazon S3 location for staging Amazon RDS data. The data retrieved from Amazon RDS using C is stored in this location. =item * DataSchemaUri - The Amazon S3 location of the C. =item * DataSchema - A JSON string representing the schema. This is not required if C is specified. =item * DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the C. Sample - C< "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"> =back =head2 B RoleARN => Str The role that Amazon ML assumes on behalf of the user to create and activate a data pipeline in the user's account and copy data using the C query from Amazon RDS to Amazon S3. =head1 SEE ALSO This class forms part of L, documenting arguments for method CreateDataSourceFromRDS in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut