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Paws::MachineLearning::CreateDataSourceFromRDS(3) User Contributed Perl Documentation Paws::MachineLearning::CreateDataSourceFromRDS(3)

Paws::MachineLearning::CreateDataSourceFromRDS - Arguments for method CreateDataSourceFromRDS on Paws::MachineLearning

This class represents the parameters used for calling the method CreateDataSourceFromRDS on the Amazon Machine Learning 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.

    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<Paws::MachineLearning::CreateDataSourceFromRDSOutput> 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 <https://docs.aws.amazon.com/goto/WebAPI/machinelearning/CreateDataSourceFromRDS>

The compute statistics for a "DataSource". The statistics are generated from the observation data referenced by a "DataSource". Amazon ML uses the statistics internally during "MLModel" training. This parameter must be set to "true" if the "DataSource" needs to be used for "MLModel" training. ""

REQUIRED DataSourceId => Str

A user-supplied ID that uniquely identifies the "DataSource". Typically, an Amazon Resource Number (ARN) becomes the ID for a "DataSource".

A user-supplied name or description of the "DataSource".

REQUIRED RDSData => Paws::MachineLearning::RDSDataSpec

The data specification of an Amazon RDS "DataSource":

DatabaseInformation -
  • "DatabaseName" - The name of the Amazon RDS database.
  • "InstanceIdentifier " - A unique identifier for the Amazon RDS database instance.
  • DatabaseCredentials - AWS Identity and Access Management (IAM) credentials that are used to connect to the Amazon RDS database.
  • 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.
  • 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.
  • 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 ["SubnetId", "SecurityGroupIds"] pair for a VPC-based RDS DB instance.
  • SelectSqlQuery - A query that is used to retrieve the observation data for the "Datasource".
  • S3StagingLocation - The Amazon S3 location for staging Amazon RDS data. The data retrieved from Amazon RDS using "SelectSqlQuery" is stored in this location.
  • DataSchemaUri - The Amazon S3 location of the "DataSchema".
  • DataSchema - A JSON string representing the schema. This is not required if "DataSchemaUri" is specified.
  • DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the "Datasource".

    Sample - "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"

REQUIRED 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 "SelectSqlQuery" query from Amazon RDS to Amazon S3.

This class forms part of Paws, documenting arguments for method CreateDataSourceFromRDS in Paws::MachineLearning

The source code is located here: <https://github.com/pplu/aws-sdk-perl>

Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>

2022-06-01 perl v5.40.2

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