pub struct CreateDataLakeFluentBuilder { /* private fields */ }Expand description
Fluent builder constructing a request to CreateDataLake.
Initializes an Amazon Security Lake instance with the provided (or default) configuration. You can enable Security Lake in Amazon Web Services Regions with customized settings before enabling log collection in Regions. To specify particular Regions, configure these Regions using the configurations parameter. If you have already enabled Security Lake in a Region when you call this command, the command will update the Region if you provide new configuration parameters. If you have not already enabled Security Lake in the Region when you call this API, it will set up the data lake in the Region with the specified configurations.
When you enable Security Lake, it starts ingesting security data after the CreateAwsLogSource call and after you create subscribers using the CreateSubscriber API. This includes ingesting security data from sources, storing data, and making data accessible to subscribers. Security Lake also enables all the existing settings and resources that it stores or maintains for your Amazon Web Services account in the current Region, including security log and event data. For more information, see the Amazon Security Lake User Guide.
Implementations§
Source§impl CreateDataLakeFluentBuilder
impl CreateDataLakeFluentBuilder
Sourcepub fn as_input(&self) -> &CreateDataLakeInputBuilder
pub fn as_input(&self) -> &CreateDataLakeInputBuilder
Access the CreateDataLake as a reference.
Sourcepub async fn send(
self,
) -> Result<CreateDataLakeOutput, SdkError<CreateDataLakeError, HttpResponse>>
pub async fn send( self, ) -> Result<CreateDataLakeOutput, SdkError<CreateDataLakeError, HttpResponse>>
Sends the request and returns the response.
If an error occurs, an SdkError will be returned with additional details that
can be matched against.
By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.
Sourcepub fn customize(
self,
) -> CustomizableOperation<CreateDataLakeOutput, CreateDataLakeError, Self>
pub fn customize( self, ) -> CustomizableOperation<CreateDataLakeOutput, CreateDataLakeError, Self>
Consumes this builder, creating a customizable operation that can be modified before being sent.
Sourcepub fn configurations(self, input: DataLakeConfiguration) -> Self
pub fn configurations(self, input: DataLakeConfiguration) -> Self
Appends an item to configurations.
To override the contents of this collection use set_configurations.
Specify the Region or Regions that will contribute data to the rollup region.
Sourcepub fn set_configurations(
self,
input: Option<Vec<DataLakeConfiguration>>,
) -> Self
pub fn set_configurations( self, input: Option<Vec<DataLakeConfiguration>>, ) -> Self
Specify the Region or Regions that will contribute data to the rollup region.
Sourcepub fn get_configurations(&self) -> &Option<Vec<DataLakeConfiguration>>
pub fn get_configurations(&self) -> &Option<Vec<DataLakeConfiguration>>
Specify the Region or Regions that will contribute data to the rollup region.
Sourcepub fn meta_store_manager_role_arn(self, input: impl Into<String>) -> Self
pub fn meta_store_manager_role_arn(self, input: impl Into<String>) -> Self
The Amazon Resource Name (ARN) used to create and update the Glue table. This table contains partitions generated by the ingestion and normalization of Amazon Web Services log sources and custom sources.
Sourcepub fn set_meta_store_manager_role_arn(self, input: Option<String>) -> Self
pub fn set_meta_store_manager_role_arn(self, input: Option<String>) -> Self
The Amazon Resource Name (ARN) used to create and update the Glue table. This table contains partitions generated by the ingestion and normalization of Amazon Web Services log sources and custom sources.
Sourcepub fn get_meta_store_manager_role_arn(&self) -> &Option<String>
pub fn get_meta_store_manager_role_arn(&self) -> &Option<String>
The Amazon Resource Name (ARN) used to create and update the Glue table. This table contains partitions generated by the ingestion and normalization of Amazon Web Services log sources and custom sources.
Appends an item to tags.
To override the contents of this collection use set_tags.
An array of objects, one for each tag to associate with the data lake configuration. For each tag, you must specify both a tag key and a tag value. A tag value cannot be null, but it can be an empty string.
An array of objects, one for each tag to associate with the data lake configuration. For each tag, you must specify both a tag key and a tag value. A tag value cannot be null, but it can be an empty string.
An array of objects, one for each tag to associate with the data lake configuration. For each tag, you must specify both a tag key and a tag value. A tag value cannot be null, but it can be an empty string.
Trait Implementations§
Source§impl Clone for CreateDataLakeFluentBuilder
impl Clone for CreateDataLakeFluentBuilder
Source§fn clone(&self) -> CreateDataLakeFluentBuilder
fn clone(&self) -> CreateDataLakeFluentBuilder
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read moreAuto Trait Implementations§
impl Freeze for CreateDataLakeFluentBuilder
impl !RefUnwindSafe for CreateDataLakeFluentBuilder
impl Send for CreateDataLakeFluentBuilder
impl Sync for CreateDataLakeFluentBuilder
impl Unpin for CreateDataLakeFluentBuilder
impl !UnwindSafe for CreateDataLakeFluentBuilder
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