Struct rusoto_machinelearning::GetDataSourceOutput

pub struct GetDataSourceOutput {
    pub compute_statistics: Option<bool>,
    pub compute_time: Option<i64>,
    pub created_at: Option<f64>,
    pub created_by_iam_user: Option<String>,
    pub data_location_s3: Option<String>,
    pub data_rearrangement: Option<String>,
    pub data_size_in_bytes: Option<i64>,
    pub data_source_id: Option<String>,
    pub data_source_schema: Option<String>,
    pub finished_at: Option<f64>,
    pub last_updated_at: Option<f64>,
    pub log_uri: Option<String>,
    pub message: Option<String>,
    pub name: Option<String>,
    pub number_of_files: Option<i64>,
    pub rds_metadata: Option<RDSMetadata>,
    pub redshift_metadata: Option<RedshiftMetadata>,
    pub role_arn: Option<String>,
    pub started_at: Option<f64>,
    pub status: Option<String>,
}

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

Fields

compute_statistics: Option<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.

created_at: Option<f64>

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

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.

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.

data_size_in_bytes: Option<i64>

The total size of observations in the data files.

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_source_schema: Option<String>

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

This parameter is provided as part of the verbose format.

finished_at: Option<f64>

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.

last_updated_at: Option<f64>

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

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.

name: Option<String>

A user-supplied name or description of the DataSource.

number_of_files: Option<i64>

The number of data files referenced by the DataSource.

rds_metadata: Option<RDSMetadata>

redshift_metadata: Option<RedshiftMetadata>

role_arn: Option<String>

started_at: Option<f64>

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

status: Option<String>

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.

Trait Implementations

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 Default for GetDataSourceOutput

fn default() -> GetDataSourceOutput

Returns the "default value" for a type.

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<'de> Deserialize<'de> for GetDataSourceOutput

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.