#[non_exhaustive]pub struct GetDataSourceOutput {Show 20 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 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>,
}
Expand description
Represents the output of a GetDataSource
operation and describes a 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 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 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.
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
The ID assigned to the DataSource
at creation. This value should be identical to the value of the DataSourceId
in the request.
The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
A JSON string that represents the splitting and rearrangement requirement used when this DataSource
was created.
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.
The time that the DataSource
was created. The time is expressed in epoch time.
The time of the most recent edit to the DataSource
. The time is expressed in epoch time.
The total size of observations in the data files.
The number of data files referenced by the DataSource
.
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.
A link to the file containing logs of CreateDataSourceFrom*
operations.
The user-supplied description of the most recent details about creating the DataSource
.
Describes the DataSource
details specific to Amazon Redshift.
The datasource details that are specific to Amazon RDS.
The Amazon Resource Name (ARN) of an AWS IAM Role, such as the following: arn:aws:iam::account:role/rolename.
The parameter is true
if statistics need to be generated from the observation data.
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.
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.
The epoch time when Amazon Machine Learning marked the DataSource
as INPROGRESS
. StartedAt
isn't available if the DataSource
is in the PENDING
state.
The schema used by all of the data files of this DataSource
.
Note: This parameter is provided as part of the verbose format.
Creates a new builder-style object to manufacture GetDataSourceOutput
Trait Implementations
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
This method tests for !=
.
Auto Trait Implementations
impl RefUnwindSafe for GetDataSourceOutput
impl Send for GetDataSourceOutput
impl Sync for GetDataSourceOutput
impl Unpin for GetDataSourceOutput
impl UnwindSafe for GetDataSourceOutput
Blanket Implementations
Mutably borrows from an owned value. Read more
Attaches the provided Subscriber
to this type, returning a
WithDispatch
wrapper. Read more
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more