Struct aws_sdk_sagemaker::client::fluent_builders::StartNotebookInstance

pub struct StartNotebookInstance { /* private fields */ }

Fluent builder constructing a request to StartNotebookInstance.

Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, SageMaker sets the notebook instance status to InService. A notebook instance's status must be InService before you can connect to your Jupyter notebook.

Implementations

impl StartNotebookInstance

pub async fn customize(
    self
) -> Result<CustomizableOperation<StartNotebookInstance, AwsResponseRetryClassifier>, SdkError<StartNotebookInstanceError>>

Consume this builder, creating a customizable operation that can be modified before being sent. The operation’s inner http::Request can be modified as well.

pub async fn send(
    self
) -> Result<StartNotebookInstanceOutput, SdkError<StartNotebookInstanceError>>

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.

pub fn notebook_instance_name(self, input: impl Into<String>) -> Self

The name of the notebook instance to start.

pub fn set_notebook_instance_name(self, input: Option<String>) -> Self

The name of the notebook instance to start.

Trait Implementations

impl Clone for StartNotebookInstance

fn clone(&self) -> StartNotebookInstance

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for StartNotebookInstance

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.