Struct rusoto_machinelearning::CreateDataSourceFromRedshiftInput

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

Fields

compute_statistics: Option<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.

data_source_id: 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: 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: 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

Trait Implementations

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 Default for CreateDataSourceFromRedshiftInput

fn default() -> CreateDataSourceFromRedshiftInput

Returns the "default value" for a type.

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 Serialize for CreateDataSourceFromRedshiftInput

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where
    __S: Serializer, 

Serialize this value into the given Serde serializer.