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// Code generated by smithy-go-codegen DO NOT EDIT.
package machinelearning
import (
"context"
"fmt"
awsmiddleware "github.com/aws/aws-sdk-go-v2/aws/middleware"
"github.com/aws/aws-sdk-go-v2/aws/signer/v4"
"github.com/aws/aws-sdk-go-v2/service/machinelearning/types"
"github.com/aws/smithy-go/middleware"
smithyhttp "github.com/aws/smithy-go/transport/http"
)
// Creates a DataSource object from an Amazon Relational Database Service (http://aws.amazon.com/rds/)
// (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.
func (c *Client) CreateDataSourceFromRDS(ctx context.Context, params *CreateDataSourceFromRDSInput, optFns ...func(*Options)) (*CreateDataSourceFromRDSOutput, error) {
if params == nil {
params = &CreateDataSourceFromRDSInput{}
}
result, metadata, err := c.invokeOperation(ctx, "CreateDataSourceFromRDS", params, optFns, c.addOperationCreateDataSourceFromRDSMiddlewares)
if err != nil {
return nil, err
}
out := result.(*CreateDataSourceFromRDSOutput)
out.ResultMetadata = metadata
return out, nil
}
type CreateDataSourceFromRDSInput struct {
// A user-supplied ID that uniquely identifies the DataSource . Typically, an
// Amazon Resource Number (ARN) becomes the ID for a DataSource .
//
// This member is required.
DataSourceId *string
// 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 (https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-iam-roles.html)
// 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 (https://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/dp-iam-roles.html)
// 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}}"
//
// This member is required.
RDSData *types.RDSDataSpec
// 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.
//
// This member is required.
RoleARN *string
// The compute statistics for a DataSource . The statistics are generated from the
// observation data referenced by a DataSource . Amazon ML uses the statistics
// internally during MLModel training. This parameter must be set to true if the
// DataSource needs to be used for MLModel training.
ComputeStatistics bool
// A user-supplied name or description of the DataSource .
DataSourceName *string
noSmithyDocumentSerde
}
// Represents the output of a CreateDataSourceFromRDS operation, and is an
// acknowledgement that Amazon ML received the request. The CreateDataSourceFromRDS
// > operation is asynchronous. You can poll for updates by using the
// GetBatchPrediction operation and checking the Status parameter. You can inspect
// the Message when Status shows up as FAILED . You can also check the progress of
// the copy operation by going to the DataPipeline console and looking up the
// pipeline using the pipelineId from the describe call.
type CreateDataSourceFromRDSOutput struct {
// A user-supplied ID that uniquely identifies the datasource. This value should
// be identical to the value of the DataSourceID in the request.
DataSourceId *string
// Metadata pertaining to the operation's result.
ResultMetadata middleware.Metadata
noSmithyDocumentSerde
}
func (c *Client) addOperationCreateDataSourceFromRDSMiddlewares(stack *middleware.Stack, options Options) (err error) {
if err := stack.Serialize.Add(&setOperationInputMiddleware{}, middleware.After); err != nil {
return err
}
err = stack.Serialize.Add(&awsAwsjson11_serializeOpCreateDataSourceFromRDS{}, middleware.After)
if err != nil {
return err
}
err = stack.Deserialize.Add(&awsAwsjson11_deserializeOpCreateDataSourceFromRDS{}, middleware.After)
if err != nil {
return err
}
if err := addProtocolFinalizerMiddlewares(stack, options, "CreateDataSourceFromRDS"); err != nil {
return fmt.Errorf("add protocol finalizers: %v", err)
}
if err = addlegacyEndpointContextSetter(stack, options); err != nil {
return err
}
if err = addSetLoggerMiddleware(stack, options); err != nil {
return err
}
if err = awsmiddleware.AddClientRequestIDMiddleware(stack); err != nil {
return err
}
if err = smithyhttp.AddComputeContentLengthMiddleware(stack); err != nil {
return err
}
if err = addResolveEndpointMiddleware(stack, options); err != nil {
return err
}
if err = v4.AddComputePayloadSHA256Middleware(stack); err != nil {
return err
}
if err = addRetryMiddlewares(stack, options); err != nil {
return err
}
if err = awsmiddleware.AddRawResponseToMetadata(stack); err != nil {
return err
}
if err = awsmiddleware.AddRecordResponseTiming(stack); err != nil {
return err
}
if err = addClientUserAgent(stack, options); err != nil {
return err
}
if err = smithyhttp.AddErrorCloseResponseBodyMiddleware(stack); err != nil {
return err
}
if err = smithyhttp.AddCloseResponseBodyMiddleware(stack); err != nil {
return err
}
if err = addSetLegacyContextSigningOptionsMiddleware(stack); err != nil {
return err
}
if err = addOpCreateDataSourceFromRDSValidationMiddleware(stack); err != nil {
return err
}
if err = stack.Initialize.Add(newServiceMetadataMiddleware_opCreateDataSourceFromRDS(options.Region), middleware.Before); err != nil {
return err
}
if err = awsmiddleware.AddRecursionDetection(stack); err != nil {
return err
}
if err = addRequestIDRetrieverMiddleware(stack); err != nil {
return err
}
if err = addResponseErrorMiddleware(stack); err != nil {
return err
}
if err = addRequestResponseLogging(stack, options); err != nil {
return err
}
if err = addDisableHTTPSMiddleware(stack, options); err != nil {
return err
}
return nil
}
func newServiceMetadataMiddleware_opCreateDataSourceFromRDS(region string) *awsmiddleware.RegisterServiceMetadata {
return &awsmiddleware.RegisterServiceMetadata{
Region: region,
ServiceID: ServiceID,
OperationName: "CreateDataSourceFromRDS",
}
}
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