Struct aws_sdk_machinelearning::model::DataSource
source · [−]#[non_exhaustive]pub struct DataSource {Show 18 fields
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 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>,
}Expand description
Represents the output of the GetDataSource operation.
The content consists of the detailed metadata and data file information and the current status of the DataSource.
Fields (Non-exhaustive)
This struct is marked as non-exhaustive
Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.data_source_id: Option<String>The ID that is assigned to the DataSource during creation.
data_location_s3: Option<String>The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource.
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 BatchPrediction. The time is expressed in epoch time.
data_size_in_bytes: Option<i64>The total number of observations contained in the data files that the DataSource references.
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 Machine Learning (Amazon ML) submitted a request to create a
DataSource. -
INPROGRESS - The creation process is underway.
-
FAILED - The request to create a
DataSourcedid not run to completion. It is not usable. -
COMPLETED - The creation process completed successfully.
-
DELETED - The
DataSourceis marked as deleted. It is not usable.
message: Option<String>A 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>Long integer type that is a 64-bit signed number.
finished_at: Option<DateTime>A timestamp represented in epoch time.
started_at: Option<DateTime>A timestamp represented in epoch time.
Implementations
sourceimpl DataSource
impl DataSource
sourcepub fn data_source_id(&self) -> Option<&str>
pub fn data_source_id(&self) -> Option<&str>
The ID that is assigned to the DataSource during creation.
sourcepub fn data_location_s3(&self) -> Option<&str>
pub fn data_location_s3(&self) -> Option<&str>
The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource.
sourcepub fn data_rearrangement(&self) -> Option<&str>
pub fn data_rearrangement(&self) -> Option<&str>
A JSON string that represents the splitting and rearrangement requirement used when this DataSource was created.
sourcepub fn created_by_iam_user(&self) -> Option<&str>
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.
sourcepub fn created_at(&self) -> Option<&DateTime>
pub fn created_at(&self) -> Option<&DateTime>
The time that the DataSource was created. The time is expressed in epoch time.
sourcepub fn last_updated_at(&self) -> Option<&DateTime>
pub fn last_updated_at(&self) -> Option<&DateTime>
The time of the most recent edit to the BatchPrediction. The time is expressed in epoch time.
sourcepub fn data_size_in_bytes(&self) -> Option<i64>
pub fn data_size_in_bytes(&self) -> Option<i64>
The total number of observations contained in the data files that the DataSource references.
sourcepub fn number_of_files(&self) -> Option<i64>
pub fn number_of_files(&self) -> Option<i64>
The number of data files referenced by the DataSource.
sourcepub fn status(&self) -> Option<&EntityStatus>
pub fn status(&self) -> Option<&EntityStatus>
The current status of the DataSource. This element can have one of the following values:
-
PENDING - Amazon Machine Learning (Amazon ML) submitted a request to create a
DataSource. -
INPROGRESS - The creation process is underway.
-
FAILED - The request to create a
DataSourcedid not run to completion. It is not usable. -
COMPLETED - The creation process completed successfully.
-
DELETED - The
DataSourceis marked as deleted. It is not usable.
sourcepub fn message(&self) -> Option<&str>
pub fn message(&self) -> Option<&str>
A description of the most recent details about creating the DataSource.
sourcepub fn redshift_metadata(&self) -> Option<&RedshiftMetadata>
pub fn redshift_metadata(&self) -> Option<&RedshiftMetadata>
Describes the DataSource details specific to Amazon Redshift.
sourcepub fn rds_metadata(&self) -> Option<&RdsMetadata>
pub fn rds_metadata(&self) -> Option<&RdsMetadata>
The datasource details that are specific to Amazon RDS.
sourcepub fn role_arn(&self) -> Option<&str>
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.
sourcepub fn compute_statistics(&self) -> bool
pub fn compute_statistics(&self) -> bool
The parameter is true if statistics need to be generated from the observation data.
sourcepub fn compute_time(&self) -> Option<i64>
pub fn compute_time(&self) -> Option<i64>
Long integer type that is a 64-bit signed number.
sourcepub fn finished_at(&self) -> Option<&DateTime>
pub fn finished_at(&self) -> Option<&DateTime>
A timestamp represented in epoch time.
sourcepub fn started_at(&self) -> Option<&DateTime>
pub fn started_at(&self) -> Option<&DateTime>
A timestamp represented in epoch time.
sourceimpl DataSource
impl DataSource
sourcepub fn builder() -> Builder
pub fn builder() -> Builder
Creates a new builder-style object to manufacture DataSource
Trait Implementations
sourceimpl Clone for DataSource
impl Clone for DataSource
sourcefn clone(&self) -> DataSource
fn clone(&self) -> DataSource
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source. Read more
sourceimpl Debug for DataSource
impl Debug for DataSource
sourceimpl PartialEq<DataSource> for DataSource
impl PartialEq<DataSource> for DataSource
sourcefn eq(&self, other: &DataSource) -> bool
fn eq(&self, other: &DataSource) -> bool
This method tests for self and other values to be equal, and is used
by ==. Read more
sourcefn ne(&self, other: &DataSource) -> bool
fn ne(&self, other: &DataSource) -> bool
This method tests for !=.
impl StructuralPartialEq for DataSource
Auto Trait Implementations
impl RefUnwindSafe for DataSource
impl Send for DataSource
impl Sync for DataSource
impl Unpin for DataSource
impl UnwindSafe for DataSource
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcepub fn borrow_mut(&mut self) -> &mut T
pub fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
sourceimpl<T> Instrument for T
impl<T> Instrument for T
sourcefn instrument(self, span: Span) -> Instrumented<Self>
fn instrument(self, span: Span) -> Instrumented<Self>
sourcefn in_current_span(self) -> Instrumented<Self>
fn in_current_span(self) -> Instrumented<Self>
sourceimpl<T> ToOwned for T where
T: Clone,
impl<T> ToOwned for T where
T: Clone,
type Owned = T
type Owned = T
The resulting type after obtaining ownership.
sourcepub fn to_owned(&self) -> T
pub fn to_owned(&self) -> T
Creates owned data from borrowed data, usually by cloning. Read more
sourcepub fn clone_into(&self, target: &mut T)
pub fn clone_into(&self, target: &mut T)
toowned_clone_into)Uses borrowed data to replace owned data, usually by cloning. Read more
sourceimpl<T> WithSubscriber for T
impl<T> WithSubscriber for T
sourcefn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self> where
S: Into<Dispatch>,
Attaches the provided Subscriber to this type, returning a
WithDispatch wrapper. Read more
sourcefn with_current_subscriber(self) -> WithDispatch<Self>
fn with_current_subscriber(self) -> WithDispatch<Self>
Attaches the current default Subscriber to this type, returning a
WithDispatch wrapper. Read more