| RedshiftDatasetDefinition | R Documentation |
With this input, SQL queries will be executed using Redshift to generate datasets to S3.
sagemaker.core::ApiObject -> RedshiftDatasetDefinition
new()Initialize RedshiftDatasetDefinition.
RedshiftDatasetDefinition$new( cluster_id = NULL, database = NULL, db_user = NULL, query_string = NULL, cluster_role_arn = NULL, output_s3_uri = NULL, kms_key_id = NULL, output_format = NULL, output_compression = NULL )
cluster_id(str, default=None): The Redshift cluster Identifier. database (str, default=None): The name of the Redshift database used in Redshift query execution.
database(str, default=None): The name of the Redshift database used in Redshift query execution.
db_user(str, default=None): The database user name used in Redshift query execution.
query_string(str, default=None): The SQL query statements to be executed.
cluster_role_arn(str, default=None): The IAM role attached to your Redshift cluster that Amazon SageMaker uses to generate datasets.
output_s3_uri(str, default=None): The location in Amazon S3 where the Redshift query results are stored.
kms_key_id(str, default=None): The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data from a Redshift execution.
output_format(str, default=None): The data storage format for Redshift query results. Valid options are "PARQUET", "CSV"
output_compression(str, default=None): The compression used for Redshift query results. Valid options are "None", "GZIP", "SNAPPY", "ZSTD", "BZIP2"
clone()The objects of this class are cloneable with this method.
RedshiftDatasetDefinition$clone(deep = FALSE)
deepWhether to make a deep clone.
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