aws_sdk_machinelearning::operation::create_data_source_from_redshift

Struct CreateDataSourceFromRedshiftInput

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#[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: Option<bool>,
}

Fields (Non-exhaustive)§

This struct is marked as 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: 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.

Implementations§

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impl CreateDataSourceFromRedshiftInput

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

A user-supplied ID that uniquely identifies the DataSource.

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

A user-supplied name or description of the DataSource.

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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}}"

Source

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

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pub fn compute_statistics(&self) -> 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.

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impl CreateDataSourceFromRedshiftInput

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pub fn builder() -> CreateDataSourceFromRedshiftInputBuilder

Creates a new builder-style object to manufacture CreateDataSourceFromRedshiftInput.

Trait Implementations§

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impl Clone for CreateDataSourceFromRedshiftInput

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fn clone(&self) -> CreateDataSourceFromRedshiftInput

Returns a duplicate of the value. Read more
1.0.0 · Source§

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

Performs copy-assignment from source. Read more
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impl Debug for CreateDataSourceFromRedshiftInput

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

Formats the value using the given formatter. Read more
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impl PartialEq for CreateDataSourceFromRedshiftInput

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

Tests for self and other values to be equal, and is used by ==.
1.0.0 · Source§

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for CreateDataSourceFromRedshiftInput

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