Class: Aws::MachineLearning::Types::RDSMetadata
- Inherits:
-
Struct
- Object
- Struct
- Aws::MachineLearning::Types::RDSMetadata
- Defined in:
- gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb
Overview
The datasource details that are specific to Amazon RDS.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#data_pipeline_id ⇒ String
The ID of the Data Pipeline instance that is used to carry to copy data from Amazon RDS to Amazon S3.
-
#database ⇒ Types::RDSDatabase
The database details required to connect to an Amazon RDS.
-
#database_user_name ⇒ String
The username to be used by Amazon ML to connect to database on an Amazon RDS instance.
-
#resource_role ⇒ String
The role (DataPipelineDefaultResourceRole) assumed by an Amazon EC2 instance to carry out the copy task from Amazon RDS to Amazon S3.
-
#select_sql_query ⇒ String
The SQL query that is supplied during CreateDataSourceFromRDS.
-
#service_role ⇒ String
The role (DataPipelineDefaultRole) assumed by the Data Pipeline service to monitor the progress of the copy task from Amazon RDS to Amazon S3.
Instance Attribute Details
#data_pipeline_id ⇒ String
The ID of the Data Pipeline instance that is used to carry to copy data from Amazon RDS to Amazon S3. You can use the ID to find details about the instance in the Data Pipeline console.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 3038 class RDSMetadata < Struct.new( :database, :database_user_name, :select_sql_query, :resource_role, :service_role, :data_pipeline_id) SENSITIVE = [] include Aws::Structure end |
#database ⇒ Types::RDSDatabase
The database details required to connect to an Amazon RDS.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 3038 class RDSMetadata < Struct.new( :database, :database_user_name, :select_sql_query, :resource_role, :service_role, :data_pipeline_id) SENSITIVE = [] include Aws::Structure end |
#database_user_name ⇒ String
The username to be used by Amazon ML to connect to database on an
Amazon RDS instance. The username should have sufficient permissions
to execute an RDSSelectSqlQuery
query.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 3038 class RDSMetadata < Struct.new( :database, :database_user_name, :select_sql_query, :resource_role, :service_role, :data_pipeline_id) SENSITIVE = [] include Aws::Structure end |
#resource_role ⇒ String
The role (DataPipelineDefaultResourceRole) assumed by an Amazon EC2 instance to carry out the copy task from Amazon RDS to Amazon S3. For more information, see Role templates for data pipelines.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 3038 class RDSMetadata < Struct.new( :database, :database_user_name, :select_sql_query, :resource_role, :service_role, :data_pipeline_id) SENSITIVE = [] include Aws::Structure end |
#select_sql_query ⇒ String
The SQL query that is supplied during CreateDataSourceFromRDS.
Returns only if Verbose
is true in GetDataSourceInput
.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 3038 class RDSMetadata < Struct.new( :database, :database_user_name, :select_sql_query, :resource_role, :service_role, :data_pipeline_id) SENSITIVE = [] include Aws::Structure end |
#service_role ⇒ String
The role (DataPipelineDefaultRole) assumed by the 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.
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# File 'gems/aws-sdk-machinelearning/lib/aws-sdk-machinelearning/types.rb', line 3038 class RDSMetadata < Struct.new( :database, :database_user_name, :select_sql_query, :resource_role, :service_role, :data_pipeline_id) SENSITIVE = [] include Aws::Structure end |