/AWS1/IF_ML=>CREATEDATASOURCEFROMRDS()¶
About CreateDataSourceFromRDS¶
Creates a DataSource object from an Amazon Relational Database Service (Amazon RDS). A DataSource references data that can be used to perform CreateMLModel, CreateEvaluation, or CreateBatchPrediction operations.
CreateDataSourceFromRDS is an asynchronous operation. In response to CreateDataSourceFromRDS,
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>, CreateEvaluation, or CreateBatchPrediction 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 GetDataSource operation response.
Method Signature¶
METHODS /AWS1/IF_ML~CREATEDATASOURCEFROMRDS
IMPORTING
!IV_DATASOURCEID TYPE /AWS1/ML_ENTITYID OPTIONAL
!IV_DATASOURCENAME TYPE /AWS1/ML_ENTITYNAME OPTIONAL
!IO_RDSDATA TYPE REF TO /AWS1/CL_ML_RDSDATASPEC OPTIONAL
!IV_ROLEARN TYPE /AWS1/ML_ROLEARN OPTIONAL
!IV_COMPUTESTATISTICS TYPE /AWS1/ML_COMPUTESTATISTICS OPTIONAL
RETURNING
VALUE(OO_OUTPUT) TYPE REF TO /aws1/cl_ml_credatasrcfrmrds01
RAISING
/AWS1/CX_ML_IDEMPOTENTPRMMIS00
/AWS1/CX_ML_INTERNALSERVEREX
/AWS1/CX_ML_INVALIDINPUTEX
/AWS1/CX_ML_CLIENTEXC
/AWS1/CX_ML_SERVEREXC
/AWS1/CX_RT_TECHNICAL_GENERIC
/AWS1/CX_RT_SERVICE_GENERIC.
IMPORTING¶
Required arguments:¶
iv_datasourceid TYPE /AWS1/ML_ENTITYID /AWS1/ML_ENTITYID¶
A user-supplied ID that uniquely identifies the
DataSource. Typically, an Amazon Resource Number (ARN) becomes the ID for aDataSource.
io_rdsdata TYPE REF TO /AWS1/CL_ML_RDSDATASPEC /AWS1/CL_ML_RDSDATASPEC¶
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
SelectSqlQueryis stored in this location.DataSchemaUri - The Amazon S3 location of the
DataSchema.DataSchema - A JSON string representing the schema. This is not required if
DataSchemaUriis specified.DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the
Datasource.Sample -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
iv_rolearn TYPE /AWS1/ML_ROLEARN /AWS1/ML_ROLEARN¶
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
SelectSqlQueryquery from Amazon RDS to Amazon S3.
Optional arguments:¶
iv_datasourcename TYPE /AWS1/ML_ENTITYNAME /AWS1/ML_ENTITYNAME¶
A user-supplied name or description of the
DataSource.
iv_computestatistics TYPE /AWS1/ML_COMPUTESTATISTICS /AWS1/ML_COMPUTESTATISTICS¶
The compute statistics for a
DataSource. The statistics are generated from the observation data referenced by aDataSource. Amazon ML uses the statistics internally duringMLModeltraining. This parameter must be set totrueif theDataSourceneeds to be used forMLModeltraining.
RETURNING¶
oo_output TYPE REF TO /aws1/cl_ml_credatasrcfrmrds01 /AWS1/CL_ML_CREDATASRCFRMRDS01¶
Domain /AWS1/RT_ACCOUNT_ID Primitive Type NUMC
Examples¶
Syntax Example¶
This is an example of the syntax for calling the method. It includes every possible argument and initializes every possible value. The data provided is not necessarily semantically accurate (for example the value "string" may be provided for something that is intended to be an instance ID, or in some cases two arguments may be mutually exclusive). The syntax shows the ABAP syntax for creating the various data structures.
DATA(lo_result) = lo_client->createdatasourcefromrds(
io_rdsdata = new /aws1/cl_ml_rdsdataspec(
io_databasecredentials = new /aws1/cl_ml_rdsdatabasecreds(
iv_password = |string|
iv_username = |string|
)
io_databaseinformation = new /aws1/cl_ml_rdsdatabase(
iv_databasename = |string|
iv_instanceidentifier = |string|
)
it_securitygroupids = VALUE /aws1/cl_ml_edpsecgroupids_w=>tt_edpsecuritygroupids(
( new /aws1/cl_ml_edpsecgroupids_w( |string| ) )
)
iv_datarearrangement = |string|
iv_dataschema = |string|
iv_dataschemauri = |string|
iv_resourcerole = |string|
iv_s3staginglocation = |string|
iv_selectsqlquery = |string|
iv_servicerole = |string|
iv_subnetid = |string|
)
iv_computestatistics = ABAP_TRUE
iv_datasourceid = |string|
iv_datasourcename = |string|
iv_rolearn = |string|
).
This is an example of reading all possible response values
lo_result = lo_result.
IF lo_result IS NOT INITIAL.
lv_entityid = lo_result->get_datasourceid( ).
ENDIF.