Struct aws_sdk_machinelearning::operation::get_data_source::builders::GetDataSourceOutputBuilder

#[non_exhaustive]
pub struct GetDataSourceOutputBuilder { /* private fields */ }

A builder for GetDataSourceOutput.

Implementations

impl GetDataSourceOutputBuilder

pub fn data_source_id(self, input: impl Into<String>) -> Self

The ID assigned to the DataSource at creation. This value should be identical to the value of the DataSourceId in the request.

pub fn set_data_source_id(self, input: Option<String>) -> Self

The ID assigned to the DataSource at creation. This value should be identical to the value of the DataSourceId in the request.

pub fn get_data_source_id(&self) -> &Option<String>

The ID assigned to the DataSource at creation. This value should be identical to the value of the DataSourceId in the request.

pub fn data_location_s3(self, input: impl Into<String>) -> Self

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

pub fn set_data_location_s3(self, input: Option<String>) -> Self

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

pub fn get_data_location_s3(&self) -> &Option<String>

The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).

pub fn data_rearrangement(self, input: impl Into<String>) -> Self

A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.

pub fn set_data_rearrangement(self, input: Option<String>) -> Self

A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.

pub fn get_data_rearrangement(&self) -> &Option<String>

A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.

pub fn created_by_iam_user(self, input: impl Into<String>) -> Self

The AWS user account from which the DataSource was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

pub fn set_created_by_iam_user(self, input: Option<String>) -> Self

The AWS user account from which the DataSource was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

pub fn get_created_by_iam_user(&self) -> &Option<String>

The AWS user account from which the DataSource was created. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.

pub fn created_at(self, input: DateTime) -> Self

The time that the DataSource was created. The time is expressed in epoch time.

pub fn set_created_at(self, input: Option<DateTime>) -> Self

The time that the DataSource was created. The time is expressed in epoch time.

pub fn get_created_at(&self) -> &Option<DateTime>

The time that the DataSource was created. The time is expressed in epoch time.

pub fn last_updated_at(self, input: DateTime) -> Self

The time of the most recent edit to the DataSource. The time is expressed in epoch time.

pub fn set_last_updated_at(self, input: Option<DateTime>) -> Self

The time of the most recent edit to the DataSource. The time is expressed in epoch time.

pub fn get_last_updated_at(&self) -> &Option<DateTime>

The time of the most recent edit to the DataSource. The time is expressed in epoch time.

pub fn data_size_in_bytes(self, input: i64) -> Self

The total size of observations in the data files.

pub fn set_data_size_in_bytes(self, input: Option<i64>) -> Self

The total size of observations in the data files.

pub fn get_data_size_in_bytes(&self) -> &Option<i64>

The total size of observations in the data files.

pub fn number_of_files(self, input: i64) -> Self

The number of data files referenced by the DataSource.

pub fn set_number_of_files(self, input: Option<i64>) -> Self

The number of data files referenced by the DataSource.

pub fn get_number_of_files(&self) -> &Option<i64>

The number of data files referenced by the DataSource.

pub fn name(self, input: impl Into<String>) -> Self

A user-supplied name or description of the DataSource.

pub fn set_name(self, input: Option<String>) -> Self

A user-supplied name or description of the DataSource.

pub fn get_name(&self) -> &Option<String>

A user-supplied name or description of the DataSource.

pub fn status(self, input: EntityStatus) -> Self

The current status of the DataSource. This element can have one of the following values:

• PENDING - Amazon ML submitted a request to create a DataSource.

• INPROGRESS - The creation process is underway.

• FAILED - The request to create a DataSource did not run to completion. It is not usable.

• COMPLETED - The creation process completed successfully.

• DELETED - The DataSource is marked as deleted. It is not usable.

pub fn set_status(self, input: Option<EntityStatus>) -> Self

The current status of the DataSource. This element can have one of the following values:

• PENDING - Amazon ML submitted a request to create a DataSource.

• INPROGRESS - The creation process is underway.

• FAILED - The request to create a DataSource did not run to completion. It is not usable.

• COMPLETED - The creation process completed successfully.

• DELETED - The DataSource is marked as deleted. It is not usable.

pub fn get_status(&self) -> &Option<EntityStatus>

The current status of the DataSource. This element can have one of the following values:

• PENDING - Amazon ML submitted a request to create a DataSource.

• INPROGRESS - The creation process is underway.

• FAILED - The request to create a DataSource did not run to completion. It is not usable.

• COMPLETED - The creation process completed successfully.

• DELETED - The DataSource is marked as deleted. It is not usable.

pub fn log_uri(self, input: impl Into<String>) -> Self

A link to the file containing logs of CreateDataSourceFrom* operations.

pub fn set_log_uri(self, input: Option<String>) -> Self

A link to the file containing logs of CreateDataSourceFrom* operations.

pub fn get_log_uri(&self) -> &Option<String>

A link to the file containing logs of CreateDataSourceFrom* operations.

pub fn message(self, input: impl Into<String>) -> Self

The user-supplied description of the most recent details about creating the DataSource.

pub fn set_message(self, input: Option<String>) -> Self

The user-supplied description of the most recent details about creating the DataSource.

pub fn get_message(&self) -> &Option<String>

The user-supplied description of the most recent details about creating the DataSource.

pub fn redshift_metadata(self, input: RedshiftMetadata) -> Self

Describes the DataSource details specific to Amazon Redshift.

pub fn set_redshift_metadata(self, input: Option<RedshiftMetadata>) -> Self

Describes the DataSource details specific to Amazon Redshift.

pub fn get_redshift_metadata(&self) -> &Option<RedshiftMetadata>

Describes the DataSource details specific to Amazon Redshift.

pub fn rds_metadata(self, input: RdsMetadata) -> Self

The datasource details that are specific to Amazon RDS.

pub fn set_rds_metadata(self, input: Option<RdsMetadata>) -> Self

The datasource details that are specific to Amazon RDS.

pub fn get_rds_metadata(&self) -> &Option<RdsMetadata>

The datasource details that are specific to Amazon RDS.

pub fn role_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of an AWS IAM Role, such as the following: arn:aws:iam::account:role/rolename.

pub fn set_role_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of an AWS IAM Role, such as the following: arn:aws:iam::account:role/rolename.

pub fn get_role_arn(&self) -> &Option<String>

The Amazon Resource Name (ARN) of an AWS IAM Role, such as the following: arn:aws:iam::account:role/rolename.

pub fn compute_statistics(self, input: bool) -> Self

The parameter is true if statistics need to be generated from the observation data.

pub fn set_compute_statistics(self, input: Option<bool>) -> Self

The parameter is true if statistics need to be generated from the observation data.

pub fn get_compute_statistics(&self) -> &Option<bool>

The parameter is true if statistics need to be generated from the observation data.

pub fn compute_time(self, input: i64) -> Self

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the DataSource, normalized and scaled on computation resources. ComputeTime is only available if the DataSource is in the COMPLETED state and the ComputeStatistics is set to true.

pub fn set_compute_time(self, input: Option<i64>) -> Self

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the DataSource, normalized and scaled on computation resources. ComputeTime is only available if the DataSource is in the COMPLETED state and the ComputeStatistics is set to true.

pub fn get_compute_time(&self) -> &Option<i64>

The approximate CPU time in milliseconds that Amazon Machine Learning spent processing the DataSource, normalized and scaled on computation resources. ComputeTime is only available if the DataSource is in the COMPLETED state and the ComputeStatistics is set to true.

pub fn finished_at(self, input: DateTime) -> Self

The epoch time when Amazon Machine Learning marked the DataSource as COMPLETED or FAILED. FinishedAt is only available when the DataSource is in the COMPLETED or FAILED state.

pub fn set_finished_at(self, input: Option<DateTime>) -> Self

The epoch time when Amazon Machine Learning marked the DataSource as COMPLETED or FAILED. FinishedAt is only available when the DataSource is in the COMPLETED or FAILED state.

pub fn get_finished_at(&self) -> &Option<DateTime>

The epoch time when Amazon Machine Learning marked the DataSource as COMPLETED or FAILED. FinishedAt is only available when the DataSource is in the COMPLETED or FAILED state.

pub fn started_at(self, input: DateTime) -> Self

The epoch time when Amazon Machine Learning marked the DataSource as INPROGRESS. StartedAt isn't available if the DataSource is in the PENDING state.

pub fn set_started_at(self, input: Option<DateTime>) -> Self

The epoch time when Amazon Machine Learning marked the DataSource as INPROGRESS. StartedAt isn't available if the DataSource is in the PENDING state.

pub fn get_started_at(&self) -> &Option<DateTime>

The epoch time when Amazon Machine Learning marked the DataSource as INPROGRESS. StartedAt isn't available if the DataSource is in the PENDING state.

pub fn data_source_schema(self, input: impl Into<String>) -> Self

The schema used by all of the data files of this DataSource.

Note: This parameter is provided as part of the verbose format.

pub fn set_data_source_schema(self, input: Option<String>) -> Self

The schema used by all of the data files of this DataSource.

Note: This parameter is provided as part of the verbose format.

pub fn get_data_source_schema(&self) -> &Option<String>

The schema used by all of the data files of this DataSource.

Note: This parameter is provided as part of the verbose format.

pub fn build(self) -> GetDataSourceOutput

Consumes the builder and constructs a GetDataSourceOutput.

Trait Implementations

impl Clone for GetDataSourceOutputBuilder

fn clone(&self) -> GetDataSourceOutputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for GetDataSourceOutputBuilder

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

Formats the value using the given formatter.

impl Default for GetDataSourceOutputBuilder

fn default() -> GetDataSourceOutputBuilder

Returns the “default value” for a type.

impl PartialEq for GetDataSourceOutputBuilder

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

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

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

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for GetDataSourceOutputBuilder