NAME
Paws::MachineLearning::CreateDataSourceFromRedshift - Arguments for method CreateDataSourceFromRedshift on Paws::MachineLearning
DESCRIPTION
This class represents the parameters used for calling the method CreateDataSourceFromRedshift on the Amazon Machine Learning service. Use the attributes of this class as arguments to method CreateDataSourceFromRedshift.
You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to CreateDataSourceFromRedshift.
SYNOPSIS
my $machinelearning = Paws->service('MachineLearning');
my $CreateDataSourceFromRedshiftOutput =
$machinelearning->CreateDataSourceFromRedshift(
DataSourceId => 'MyEntityId',
DataSpec => {
DatabaseCredentials => {
Password => 'MyRedshiftDatabasePassword', # min: 8, max: 64
Username => 'MyRedshiftDatabaseUsername', # min: 1, max: 128
},
DatabaseInformation => {
ClusterIdentifier => 'MyRedshiftClusterIdentifier', # min: 1, max: 63
DatabaseName => 'MyRedshiftDatabaseName', # min: 1, max: 64
},
S3StagingLocation => 'MyS3Url', # max: 2048
SelectSqlQuery => 'MyRedshiftSelectSqlQuery', # min: 1, max: 16777216
DataRearrangement => 'MyDataRearrangement', # OPTIONAL
DataSchema => 'MyDataSchema', # max: 131071; OPTIONAL
DataSchemaUri => 'MyS3Url', # max: 2048
},
RoleARN => 'MyRoleARN',
ComputeStatistics => 1, # OPTIONAL
DataSourceName => 'MyEntityName', # OPTIONAL
);
# Results:
my $DataSourceId = $CreateDataSourceFromRedshiftOutput->DataSourceId;
# Returns a Paws::MachineLearning::CreateDataSourceFromRedshiftOutput 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/CreateDataSourceFromRedshift
ATTRIBUTES
ComputeStatistics => Bool
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
.
DataSourceName => Str
A user-supplied name or description of the DataSource
.
REQUIRED DataSpec => Paws::MachineLearning::RedshiftDataSpec
The data specification of an Amazon Redshift DataSource
:
DatabaseInformation -
DatabaseName
- The name of the Amazon Redshift database.ClusterIdentifier
- The unique ID for the Amazon Redshift cluster.
DatabaseCredentials - The AWS Identity and Access Management (IAM) credentials that are used to connect to the Amazon Redshift database.
SelectSqlQuery - The query that is used to retrieve the observation data for the
Datasource
.S3StagingLocation - The Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The data retrieved from Amazon Redshift using the
SelectSqlQuery
query 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
A fully specified role Amazon Resource Name (ARN). Amazon ML assumes the role on behalf of the user to create the following:
A security group to allow Amazon ML to execute the
SelectSqlQuery
query on an Amazon Redshift clusterAn Amazon S3 bucket policy to grant Amazon ML read/write permissions on the
S3StagingLocation
SEE ALSO
This class forms part of Paws, documenting arguments for method CreateDataSourceFromRedshift in Paws::MachineLearning
BUGS and CONTRIBUTIONS
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