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Amazon Machine Learning
API Reference (API Version 2014-12-12)

RDSMetadata

The datasource details that are specific to Amazon RDS.

Contents

Database

The database details required to connect to an Amazon RDS.

Type: RDSDatabase object

Required: No

DatabaseUserName

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.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 128.

Required: No

DataPipelineId

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.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 1024.

Required: No

ResourceRole

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.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 64.

Required: No

SelectSqlQuery

The SQL query that is supplied during CreateDataSourceFromRDS. Returns only if Verbose is true in GetDataSourceInput.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 16777216.

Required: No

ServiceRole

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.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 64.

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following:

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