Class: Aws::MachineLearning::Types::RedshiftDatabaseCredentials
- Inherits:
-
Struct
- Object
- Struct
- Aws::MachineLearning::Types::RedshiftDatabaseCredentials
- Includes:
- Structure
- Defined in:
- lib/aws-sdk-machinelearning/types.rb
Overview
When making an API call, you may pass RedshiftDatabaseCredentials data as a hash:
{
username: "RedshiftDatabaseUsername", # required
password: "RedshiftDatabasePassword", # required
}
Describes the database credentials for connecting to a database on an Amazon Redshift cluster.
Instance Attribute Summary collapse
-
#password ⇒ String
A password to be used by Amazon ML to connect to a database on an Amazon Redshift cluster.
-
#username ⇒ String
A username to be used by Amazon Machine Learning (Amazon ML)to connect to a database on an Amazon Redshift cluster.
Instance Attribute Details
#password ⇒ String
A password to be used by Amazon ML to connect to a database on an Amazon Redshift cluster. The password should have sufficient permissions to execute a ‘RedshiftSelectSqlQuery` query. The password should be valid for an Amazon Redshift [USER].
[1]: docs.aws.amazon.com/redshift/latest/dg/r_CREATE_USER.html
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# File 'lib/aws-sdk-machinelearning/types.rb', line 3465 class RedshiftDatabaseCredentials < Struct.new( :username, :password) include Aws::Structure end |
#username ⇒ String
A username to be used by Amazon Machine Learning (Amazon ML)to connect to a database on an Amazon Redshift cluster. The username should have sufficient permissions to execute the ‘RedshiftSelectSqlQuery` query. The username should be valid for an Amazon Redshift [USER].
[1]: docs.aws.amazon.com/redshift/latest/dg/r_CREATE_USER.html
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# File 'lib/aws-sdk-machinelearning/types.rb', line 3465 class RedshiftDatabaseCredentials < Struct.new( :username, :password) include Aws::Structure end |