Struct aws_sdk_machinelearning::model::DataSource [−][src]
#[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
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.
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
The ID that is assigned to the DataSource
during creation.
The location and name of the data in Amazon Simple Storage Service (Amazon S3) that is used by a DataSource
.
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
BatchPrediction
. The time is expressed in epoch time.
The total number of observations contained in the data files that the DataSource
references.
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 Machine Learning (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.
A 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.
Long integer type that is a 64-bit signed number.
A timestamp represented in epoch time.
A timestamp represented in epoch time.
Creates a new builder-style object to manufacture DataSource
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 DataSource
impl Send for DataSource
impl Sync for DataSource
impl Unpin for DataSource
impl UnwindSafe for DataSource
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