[−][src]Struct rusoto_machinelearning::GetDataSourceOutput
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 aDataSource
. -
INPROGRESS
- The creation process is underway. -
FAILED
- The request to create aDataSource
did not run to completion. It is not usable. -
COMPLETED
- The creation process completed successfully. -
DELETED
- TheDataSource
is marked as deleted. It is not usable.
Trait Implementations
impl Clone for GetDataSourceOutput
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pub fn clone(&self) -> GetDataSourceOutput
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pub fn clone_from(&mut self, source: &Self)
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impl Debug for GetDataSourceOutput
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impl Default for GetDataSourceOutput
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pub fn default() -> GetDataSourceOutput
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impl<'de> Deserialize<'de> for GetDataSourceOutput
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pub fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
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__D: Deserializer<'de>,
impl PartialEq<GetDataSourceOutput> for GetDataSourceOutput
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pub fn eq(&self, other: &GetDataSourceOutput) -> bool
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pub fn ne(&self, other: &GetDataSourceOutput) -> bool
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impl StructuralPartialEq for GetDataSourceOutput
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Auto Trait Implementations
impl RefUnwindSafe for GetDataSourceOutput
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impl Send for GetDataSourceOutput
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impl Sync for GetDataSourceOutput
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impl Unpin for GetDataSourceOutput
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impl UnwindSafe for GetDataSourceOutput
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Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> DeserializeOwned for T where
T: for<'de> Deserialize<'de>,
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T: for<'de> Deserialize<'de>,
impl<T> From<T> for T
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> Same<T> for T
type Output = T
Should always be Self
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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pub fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,