Class: Aws::MachineLearning::Types::CreateDataSourceFromRDSInput
- Inherits:
-
Struct
- Object
- Struct
- Aws::MachineLearning::Types::CreateDataSourceFromRDSInput
- Defined in:
- gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#compute_statistics ⇒ Boolean
The compute statistics for a
DataSource
. -
#data_source_id ⇒ String
A user-supplied ID that uniquely identifies the
DataSource
. -
#data_source_name ⇒ String
A user-supplied name or description of the
DataSource
. -
#rds_data ⇒ Types::RDSDataSpec
The data specification of an Amazon RDS
DataSource
:. -
#role_arn ⇒ String
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.
Instance Attribute Details
#compute_statistics ⇒ Boolean
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. </p>
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 308 class CreateDataSourceFromRDSInput < Struct.new( :data_source_id, :data_source_name, :rds_data, :role_arn, :compute_statistics) SENSITIVE = [] include Aws::Structure end |
#data_source_id ⇒ String
A user-supplied ID that uniquely identifies the DataSource
.
Typically, an Amazon Resource Number (ARN) becomes the ID for a
DataSource
.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 308 class CreateDataSourceFromRDSInput < Struct.new( :data_source_id, :data_source_name, :rds_data, :role_arn, :compute_statistics) SENSITIVE = [] include Aws::Structure end |
#data_source_name ⇒ String
A user-supplied name or description of the DataSource
.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 308 class CreateDataSourceFromRDSInput < Struct.new( :data_source_id, :data_source_name, :rds_data, :role_arn, :compute_statistics) SENSITIVE = [] include Aws::Structure end |
#rds_data ⇒ Types::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 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 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}}"
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 308 class CreateDataSourceFromRDSInput < Struct.new( :data_source_id, :data_source_name, :rds_data, :role_arn, :compute_statistics) SENSITIVE = [] include Aws::Structure end |
#role_arn ⇒ String
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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 308 class CreateDataSourceFromRDSInput < Struct.new( :data_source_id, :data_source_name, :rds_data, :role_arn, :compute_statistics) SENSITIVE = [] include Aws::Structure end |