[−][src]Struct rusoto_machinelearning::CreateDataSourceFromRedshiftInput
Fields
compute_statistics: Option<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.
data_source_id: 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: 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: 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 clusterAn Amazon S3 bucket policy to grant Amazon ML read/write permissions on the
S3StagingLocation
Trait Implementations
impl PartialEq<CreateDataSourceFromRedshiftInput> for CreateDataSourceFromRedshiftInput
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fn eq(&self, other: &CreateDataSourceFromRedshiftInput) -> bool
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fn ne(&self, other: &CreateDataSourceFromRedshiftInput) -> bool
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impl Default for CreateDataSourceFromRedshiftInput
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impl Clone for CreateDataSourceFromRedshiftInput
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fn clone(&self) -> CreateDataSourceFromRedshiftInput
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fn clone_from(&mut self, source: &Self)
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Performs copy-assignment from source
. Read more
impl Debug for CreateDataSourceFromRedshiftInput
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impl Serialize for CreateDataSourceFromRedshiftInput
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Auto Trait Implementations
impl Sync for CreateDataSourceFromRedshiftInput
impl Send for CreateDataSourceFromRedshiftInput
impl Unpin for CreateDataSourceFromRedshiftInput
impl RefUnwindSafe for CreateDataSourceFromRedshiftInput
impl UnwindSafe for CreateDataSourceFromRedshiftInput
Blanket Implementations
impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
fn to_owned(&self) -> T
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fn clone_into(&self, target: &mut T)
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impl<T> From<T> for 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.
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>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
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impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Same<T> for T
type Output = T
Should always be Self