#[non_exhaustive]pub struct CreateDataSourceFromRedshiftInput {
pub data_source_id: Option<String>,
pub data_source_name: Option<String>,
pub data_spec: Option<RedshiftDataSpec>,
pub role_arn: Option<String>,
pub compute_statistics: bool,
}
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>
A user-supplied ID that uniquely identifies the DataSource
.
data_source_name: Option<String>
A user-supplied name or description of the DataSource
.
data_spec: Option<RedshiftDataSpec>
The data specification of an Amazon Redshift DataSource
:
-
DatabaseInformation -
-
DatabaseName
- The name of the Amazon Redshift database. -
ClusterIdentifier
- The unique ID for the Amazon Redshift cluster.
-
-
DatabaseCredentials - The AWS Identity and Access Management (IAM) credentials that are used to connect to the Amazon Redshift database.
-
SelectSqlQuery - The query that is used to retrieve the observation data for the
Datasource
. -
S3StagingLocation - The Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The data retrieved from Amazon Redshift using the
SelectSqlQuery
query is stored in this location. -
DataSchemaUri - The Amazon S3 location of the
DataSchema
. -
DataSchema - A JSON string representing the schema. This is not required if
DataSchemaUri
is specified. -
DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the
DataSource
.Sample -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
role_arn: Option<String>
A fully specified role Amazon Resource Name (ARN). Amazon ML assumes the role on behalf of the user to create the following:
-
A security group to allow Amazon ML to execute the
SelectSqlQuery
query on an Amazon Redshift cluster -
An Amazon S3 bucket policy to grant Amazon ML read/write permissions on the
S3StagingLocation
compute_statistics: bool
The compute statistics for a DataSource
. The statistics are generated from the observation data referenced by a DataSource
. Amazon ML uses the statistics internally during MLModel
training. This parameter must be set to true
if the DataSource
needs to be used for MLModel
training.
Implementations
sourceimpl CreateDataSourceFromRedshiftInput
impl CreateDataSourceFromRedshiftInput
sourcepub async fn make_operation(
&self,
_config: &Config
) -> Result<Operation<CreateDataSourceFromRedshift, AwsErrorRetryPolicy>, BuildError>
pub async fn make_operation(
&self,
_config: &Config
) -> Result<Operation<CreateDataSourceFromRedshift, AwsErrorRetryPolicy>, BuildError>
Consumes the builder and constructs an Operation<CreateDataSourceFromRedshift
>
sourcepub fn builder() -> Builder
pub fn builder() -> Builder
Creates a new builder-style object to manufacture CreateDataSourceFromRedshiftInput
sourceimpl CreateDataSourceFromRedshiftInput
impl CreateDataSourceFromRedshiftInput
sourcepub fn data_source_id(&self) -> Option<&str>
pub fn data_source_id(&self) -> Option<&str>
A user-supplied ID that uniquely identifies the DataSource
.
sourcepub fn data_source_name(&self) -> Option<&str>
pub fn data_source_name(&self) -> Option<&str>
A user-supplied name or description of the DataSource
.
sourcepub fn data_spec(&self) -> Option<&RedshiftDataSpec>
pub fn data_spec(&self) -> Option<&RedshiftDataSpec>
The data specification of an Amazon Redshift DataSource
:
-
DatabaseInformation -
-
DatabaseName
- The name of the Amazon Redshift database. -
ClusterIdentifier
- The unique ID for the Amazon Redshift cluster.
-
-
DatabaseCredentials - The AWS Identity and Access Management (IAM) credentials that are used to connect to the Amazon Redshift database.
-
SelectSqlQuery - The query that is used to retrieve the observation data for the
Datasource
. -
S3StagingLocation - The Amazon Simple Storage Service (Amazon S3) location for staging Amazon Redshift data. The data retrieved from Amazon Redshift using the
SelectSqlQuery
query is stored in this location. -
DataSchemaUri - The Amazon S3 location of the
DataSchema
. -
DataSchema - A JSON string representing the schema. This is not required if
DataSchemaUri
is specified. -
DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the
DataSource
.Sample -
"{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"
sourcepub fn role_arn(&self) -> Option<&str>
pub fn role_arn(&self) -> Option<&str>
A fully specified role Amazon Resource Name (ARN). Amazon ML assumes the role on behalf of the user to create the following:
-
A security group to allow Amazon ML to execute the
SelectSqlQuery
query on an Amazon Redshift cluster -
An Amazon S3 bucket policy to grant Amazon ML read/write permissions on the
S3StagingLocation
sourcepub fn compute_statistics(&self) -> bool
pub fn compute_statistics(&self) -> bool
The compute statistics for a DataSource
. The statistics are generated from the observation data referenced by a DataSource
. Amazon ML uses the statistics internally during MLModel
training. This parameter must be set to true
if the DataSource
needs to be used for MLModel
training.
Trait Implementations
sourceimpl Clone for CreateDataSourceFromRedshiftInput
impl Clone for CreateDataSourceFromRedshiftInput
sourcefn clone(&self) -> CreateDataSourceFromRedshiftInput
fn clone(&self) -> CreateDataSourceFromRedshiftInput
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 PartialEq<CreateDataSourceFromRedshiftInput> for CreateDataSourceFromRedshiftInput
impl PartialEq<CreateDataSourceFromRedshiftInput> for CreateDataSourceFromRedshiftInput
sourcefn eq(&self, other: &CreateDataSourceFromRedshiftInput) -> bool
fn eq(&self, other: &CreateDataSourceFromRedshiftInput) -> bool
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
sourcefn ne(&self, other: &CreateDataSourceFromRedshiftInput) -> bool
fn ne(&self, other: &CreateDataSourceFromRedshiftInput) -> bool
This method tests for !=
.
impl StructuralPartialEq for CreateDataSourceFromRedshiftInput
Auto Trait Implementations
impl RefUnwindSafe for CreateDataSourceFromRedshiftInput
impl Send for CreateDataSourceFromRedshiftInput
impl Sync for CreateDataSourceFromRedshiftInput
impl Unpin for CreateDataSourceFromRedshiftInput
impl UnwindSafe for CreateDataSourceFromRedshiftInput
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