Create Data Source From Rds
machinelearning_create_data_source_from_rds | R Documentation |
Creates a DataSource object from an Amazon Relational Database Service (Amazon RDS)¶
Description¶
Creates a DataSource
object from an Amazon Relational Database
Service (Amazon RDS). A DataSource
references data that can be used to perform create_ml_model
,
create_evaluation
, or create_batch_prediction
operations.
create_data_source_from_rds
is an asynchronous operation. In response
to create_data_source_from_rds
, Amazon Machine Learning (Amazon ML)
immediately returns and sets the DataSource
status to PENDING
. After
the DataSource
is created and ready for use, Amazon ML sets the
Status
parameter to COMPLETED
. DataSource
in the COMPLETED
or
PENDING
state can be used only to perform >CreateMLModel
\,
create_evaluation
, or create_batch_prediction
operations.
If Amazon ML cannot accept the input source, it sets the Status
parameter to FAILED
and includes an error message in the Message
attribute of the get_data_source
operation response.
Usage¶
machinelearning_create_data_source_from_rds(DataSourceId,
DataSourceName, RDSData, RoleARN, ComputeStatistics)
Arguments¶
DataSourceId
[required] A user-supplied ID that uniquely identifies the
DataSource
. Typically, an Amazon Resource Number (ARN) becomes the ID for aDataSource
.DataSourceName
A user-supplied name or description of the
DataSource
.RDSData
[required] 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}}"
RoleARN
[required] 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.ComputeStatistics
The compute statistics for a
DataSource
. The statistics are generated from the observation data referenced by aDataSource
. Amazon ML uses the statistics internally duringMLModel
training. This parameter must be set totrue
if theDataSource
needs to be used forMLModel
training.
Value¶
A list with the following syntax:
Request syntax¶
svc$create_data_source_from_rds(
DataSourceId = "string",
DataSourceName = "string",
RDSData = list(
DatabaseInformation = list(
InstanceIdentifier = "string",
DatabaseName = "string"
),
SelectSqlQuery = "string",
DatabaseCredentials = list(
Username = "string",
Password = "string"
),
S3StagingLocation = "string",
DataRearrangement = "string",
DataSchema = "string",
DataSchemaUri = "string",
ResourceRole = "string",
ServiceRole = "string",
SubnetId = "string",
SecurityGroupIds = list(
"string"
)
),
RoleARN = "string",
ComputeStatistics = TRUE|FALSE
)