Struct aws_sdk_machinelearning::output::GetDataSourceOutput

#[non_exhaustive]
pub struct GetDataSourceOutput {

    pub data_source_id: Option<String>,
    pub data_location_s3: Option<String>,
    pub data_rearrangement: Option<String>,
    pub created_by_iam_user: Option<String>,
    pub created_at: Option<DateTime>,
    pub last_updated_at: Option<DateTime>,
    pub data_size_in_bytes: Option<i64>,
    pub number_of_files: Option<i64>,
    pub name: Option<String>,
    pub status: Option<EntityStatus>,
    pub log_uri: Option<String>,
    pub message: Option<String>,
    pub redshift_metadata: Option<RedshiftMetadata>,
    pub rds_metadata: Option<RdsMetadata>,
    pub role_arn: Option<String>,
    pub compute_statistics: bool,
    pub compute_time: Option<i64>,
    pub finished_at: Option<DateTime>,
    pub started_at: Option<DateTime>,
    pub data_source_schema: Option<String>,
}

Represents the output of a GetDataSource operation and describes a DataSource.

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>

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

data_location_s3: Option<String>

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

data_rearrangement: Option<String>

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

created_by_iam_user: 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.

created_at: Option<DateTime>

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

last_updated_at: Option<DateTime>

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

data_size_in_bytes: Option<i64>

The total size of observations in the data files.

number_of_files: Option<i64>

The number of data files referenced by the DataSource.

name: Option<String>

A user-supplied name or description of the DataSource.

status: 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.

log_uri: Option<String>

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

message: Option<String>

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

redshift_metadata: Option<RedshiftMetadata>

Describes the DataSource details specific to Amazon Redshift.

rds_metadata: Option<RdsMetadata>

The datasource details that are specific to Amazon RDS.

role_arn: Option<String>

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

compute_statistics: bool

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

compute_time: 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.

finished_at: 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.

started_at: 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.

data_source_schema: 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.

Implementations

impl GetDataSourceOutput

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

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) -> Option<&str>

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

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

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

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

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) -> Option<&DateTime>

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

pub fn 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) -> Option<i64>

The total size of observations in the data files.

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

The number of data files referenced by the DataSource.

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

A user-supplied name or description of the DataSource.

pub fn 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) -> Option<&str>

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

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

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

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

Describes the DataSource details specific to Amazon Redshift.

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

The datasource details that are specific to Amazon RDS.

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

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) -> bool

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

pub fn 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) -> 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) -> 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) -> Option<&str>

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

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

impl GetDataSourceOutput

pub fn builder() -> Builder

Creates a new builder-style object to manufacture GetDataSourceOutput

Trait Implementations

impl Clone for GetDataSourceOutput

fn clone(&self) -> GetDataSourceOutput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for GetDataSourceOutput

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

Formats the value using the given formatter.

impl PartialEq<GetDataSourceOutput> for GetDataSourceOutput

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

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

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

This method tests for !=.

impl StructuralPartialEq for GetDataSourceOutput