Struct aws_sdk_machinelearning::input::CreateDataSourceFromRedshiftInput

#[non_exhaustive]
pub struct CreateDataSourceFromRedshiftInput {
    pub data_source_id: Option<String>,
    pub data_source_name: Option<String>,
    pub data_spec: Option<RedshiftDataSpec>,
    pub role_arn: Option<String>,
    pub compute_statistics: bool,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

data_source_id: Option<String>

A user-supplied ID that uniquely identifies the DataSource.

data_source_name: Option<String>

A user-supplied name or description of the DataSource.

data_spec: Option<RedshiftDataSpec>

The data specification of an Amazon Redshift DataSource:

• DatabaseInformation -

  • DatabaseName - The name of the Amazon Redshift database.

  • ClusterIdentifier - The unique ID for the Amazon Redshift cluster.

• DatabaseCredentials - The AWS Identity and Access Management (IAM) credentials that are used to connect to the Amazon Redshift database.

• SelectSqlQuery - The query that is used to retrieve the observation data for the Datasource.

• S3StagingLocation - The Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The data retrieved from Amazon Redshift using the SelectSqlQuery query 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}}"

role_arn: Option<String>

A fully specified role Amazon Resource Name (ARN). Amazon ML assumes the role on behalf of the user to create the following:

• A security group to allow Amazon ML to execute the SelectSqlQuery query on an Amazon Redshift cluster

• An Amazon S3 bucket policy to grant Amazon ML read/write permissions on the S3StagingLocation

compute_statistics: bool

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.

Implementations

impl CreateDataSourceFromRedshiftInput

pub async fn make_operation(
    &self,
    _config: &Config
) -> Result<Operation<CreateDataSourceFromRedshift, AwsErrorRetryPolicy>, BuildError>

Consumes the builder and constructs an Operation<CreateDataSourceFromRedshift>

pub fn builder() -> Builder

Creates a new builder-style object to manufacture CreateDataSourceFromRedshiftInput

impl CreateDataSourceFromRedshiftInput

pub fn data_source_id(&self) -> Option<&str>

A user-supplied ID that uniquely identifies the DataSource.

pub fn data_source_name(&self) -> Option<&str>

A user-supplied name or description of the DataSource.

pub fn data_spec(&self) -> Option<&RedshiftDataSpec>

The data specification of an Amazon Redshift DataSource:

• DatabaseInformation -

  • DatabaseName - The name of the Amazon Redshift database.

  • ClusterIdentifier - The unique ID for the Amazon Redshift cluster.

• DatabaseCredentials - The AWS Identity and Access Management (IAM) credentials that are used to connect to the Amazon Redshift database.

• SelectSqlQuery - The query that is used to retrieve the observation data for the Datasource.

• S3StagingLocation - The Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The data retrieved from Amazon Redshift using the SelectSqlQuery query 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}}"

pub fn role_arn(&self) -> Option<&str>

A fully specified role Amazon Resource Name (ARN). Amazon ML assumes the role on behalf of the user to create the following:

• A security group to allow Amazon ML to execute the SelectSqlQuery query on an Amazon Redshift cluster

• An Amazon S3 bucket policy to grant Amazon ML read/write permissions on the S3StagingLocation

pub fn compute_statistics(&self) -> bool

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.

Trait Implementations

impl Clone for CreateDataSourceFromRedshiftInput

fn clone(&self) -> CreateDataSourceFromRedshiftInput

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CreateDataSourceFromRedshiftInput

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq<CreateDataSourceFromRedshiftInput> for CreateDataSourceFromRedshiftInput

fn eq(&self, other: &CreateDataSourceFromRedshiftInput) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &CreateDataSourceFromRedshiftInput) -> bool

This method tests for !=.

impl StructuralPartialEq for CreateDataSourceFromRedshiftInput