Struct DatasetService 

pub struct DatasetService { /* private fields */ }

Available on crate feature dataset-service only.

Implements a client for the Vertex AI API.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
    let client = DatasetService::builder().build().await?;
    let parent = "parent_value";
    let mut list = client.list_datasets()
        .set_parent(parent)
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }

Service Description

The service that manages Vertex AI Dataset and its child resources.

Configuration

To configure DatasetService use the with_* methods in the type returned by builder(). The default configuration should work for most applications. Common configuration changes include

• with_endpoint(): by default this client uses the global default endpoint (https://aiplatform.googleapis.com). Applications using regional endpoints or running in restricted networks (e.g. a network configured override this default.
• with_credentials(): by default this client uses Application Default Credentials. Applications using custom authentication may need to override this default.

Pooling and Cloning

DatasetService holds a connection pool internally, it is advised to create one and reuse it. You do not need to wrap DatasetService in an Rc or Arc to reuse it, because it already uses an Arc internally.

Implementations

impl DatasetService

pub fn builder() -> ClientBuilder

Returns a builder for DatasetService.

let client = DatasetService::builder().build().await?;

pub fn from_stub<T>(stub: T) -> Self

where T: DatasetService + 'static,

Creates a new client from the provided stub.

The most common case for calling this function is in tests mocking the client’s behavior.

pub fn create_dataset(&self) -> CreateDataset

Creates a Dataset.

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_aiplatform_v1::model::Dataset;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService, parent: &str
) -> Result<()> {
    let response = client.create_dataset()
        .set_parent(parent)
        .set_dataset(
            Dataset::new()/* set fields */
        )
        .poller().until_done().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn get_dataset(&self) -> GetDataset

Gets a Dataset.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService, name: &str
) -> Result<()> {
    let response = client.get_dataset()
        .set_name(name)
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn update_dataset(&self) -> UpdateDataset

Updates a Dataset.

Example

use google_cloud_wkt::FieldMask;
use google_cloud_aiplatform_v1::model::Dataset;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService, name: &str
) -> Result<()> {
    let response = client.update_dataset()
        .set_dataset(
            Dataset::new().set_name(name)/* set fields */
        )
        .set_update_mask(FieldMask::default().set_paths(["updated.field.path1", "updated.field.path2"]))
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn list_datasets(&self) -> ListDatasets

Lists Datasets in a Location.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService, parent: &str
) -> Result<()> {
    let mut list = client.list_datasets()
        .set_parent(parent)
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }
    Ok(())
}

pub fn delete_dataset(&self) -> DeleteDataset

Deletes a Dataset.

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService, name: &str
) -> Result<()> {
    client.delete_dataset()
        .set_name(name)
        .poller().until_done().await?;
    Ok(())
}

pub fn import_data(&self) -> ImportData

Imports data into a Dataset.

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService
) -> Result<()> {
    let response = client.import_data()
        /* set fields */
        .poller().until_done().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn export_data(&self) -> ExportData

Exports data from a Dataset.

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService
) -> Result<()> {
    let response = client.export_data()
        /* set fields */
        .poller().until_done().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn create_dataset_version(&self) -> CreateDatasetVersion

Create a version from a Dataset.

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_aiplatform_v1::model::DatasetVersion;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService, parent: &str
) -> Result<()> {
    let response = client.create_dataset_version()
        .set_parent(parent)
        .set_dataset_version(
            DatasetVersion::new()/* set fields */
        )
        .poller().until_done().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn update_dataset_version(&self) -> UpdateDatasetVersion

Updates a DatasetVersion.

Example

use google_cloud_wkt::FieldMask;
use google_cloud_aiplatform_v1::model::DatasetVersion;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService, name: &str
) -> Result<()> {
    let response = client.update_dataset_version()
        .set_dataset_version(
            DatasetVersion::new().set_name(name)/* set fields */
        )
        .set_update_mask(FieldMask::default().set_paths(["updated.field.path1", "updated.field.path2"]))
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn delete_dataset_version(&self) -> DeleteDatasetVersion

Deletes a Dataset version.

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService, name: &str
) -> Result<()> {
    client.delete_dataset_version()
        .set_name(name)
        .poller().until_done().await?;
    Ok(())
}

pub fn get_dataset_version(&self) -> GetDatasetVersion

Gets a Dataset version.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService, name: &str
) -> Result<()> {
    let response = client.get_dataset_version()
        .set_name(name)
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn list_dataset_versions(&self) -> ListDatasetVersions

Lists DatasetVersions in a Dataset.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService, parent: &str
) -> Result<()> {
    let mut list = client.list_dataset_versions()
        .set_parent(parent)
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }
    Ok(())
}

pub fn restore_dataset_version(&self) -> RestoreDatasetVersion

Restores a dataset version.

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService
) -> Result<()> {
    let response = client.restore_dataset_version()
        /* set fields */
        .poller().until_done().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn list_data_items(&self) -> ListDataItems

Lists DataItems in a Dataset.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService, parent: &str
) -> Result<()> {
    let mut list = client.list_data_items()
        .set_parent(parent)
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }
    Ok(())
}

pub fn search_data_items(&self) -> SearchDataItems

Searches DataItems in a Dataset.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService
) -> Result<()> {
    let mut list = client.search_data_items()
        /* set fields */
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }
    Ok(())
}

pub fn list_saved_queries(&self) -> ListSavedQueries

Lists SavedQueries in a Dataset.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService, parent: &str
) -> Result<()> {
    let mut list = client.list_saved_queries()
        .set_parent(parent)
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }
    Ok(())
}

pub fn delete_saved_query(&self) -> DeleteSavedQuery

Deletes a SavedQuery.

Long running operations

This method is used to start, and/or poll a long-running Operation. The Working with long-running operations chapter in the user guide covers these operations in detail.

Example

use google_cloud_lro::Poller;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService, name: &str
) -> Result<()> {
    client.delete_saved_query()
        .set_name(name)
        .poller().until_done().await?;
    Ok(())
}

pub fn get_annotation_spec(&self) -> GetAnnotationSpec

Gets an AnnotationSpec.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService, name: &str
) -> Result<()> {
    let response = client.get_annotation_spec()
        .set_name(name)
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn list_annotations(&self) -> ListAnnotations

Lists Annotations belongs to a dataitem.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService, parent: &str
) -> Result<()> {
    let mut list = client.list_annotations()
        .set_parent(parent)
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }
    Ok(())
}

pub fn list_locations(&self) -> ListLocations

Lists information about the supported locations for this service.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService
) -> Result<()> {
    let mut list = client.list_locations()
        /* set fields */
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }
    Ok(())
}

pub fn get_location(&self) -> GetLocation

Gets information about a location.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService
) -> Result<()> {
    let response = client.get_location()
        /* set fields */
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn set_iam_policy(&self) -> SetIamPolicy

Sets the access control policy on the specified resource. Replaces any existing policy.

Can return NOT_FOUND, INVALID_ARGUMENT, and PERMISSION_DENIED errors.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService
) -> Result<()> {
    let response = client.set_iam_policy()
        /* set fields */
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn get_iam_policy(&self) -> GetIamPolicy

Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService
) -> Result<()> {
    let response = client.get_iam_policy()
        /* set fields */
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn test_iam_permissions(&self) -> TestIamPermissions

Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may “fail open” without warning.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService
) -> Result<()> {
    let response = client.test_iam_permissions()
        /* set fields */
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn list_operations(&self) -> ListOperations

Provides the Operations service functionality in this service.

Example

use google_cloud_gax::paginator::ItemPaginator as _;
use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService
) -> Result<()> {
    let mut list = client.list_operations()
        /* set fields */
        .by_item();
    while let Some(item) = list.next().await.transpose()? {
        println!("{:?}", item);
    }
    Ok(())
}

pub fn get_operation(&self) -> GetOperation

Provides the Operations service functionality in this service.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService
) -> Result<()> {
    let response = client.get_operation()
        /* set fields */
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

pub fn delete_operation(&self) -> DeleteOperation

Provides the Operations service functionality in this service.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService
) -> Result<()> {
    client.delete_operation()
        /* set fields */
        .send().await?;
    Ok(())
}

pub fn cancel_operation(&self) -> CancelOperation

Provides the Operations service functionality in this service.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService
) -> Result<()> {
    client.cancel_operation()
        /* set fields */
        .send().await?;
    Ok(())
}

pub fn wait_operation(&self) -> WaitOperation

Provides the Operations service functionality in this service.

Example

use google_cloud_aiplatform_v1::Result;
async fn sample(
   client: &DatasetService
) -> Result<()> {
    let response = client.wait_operation()
        /* set fields */
        .send().await?;
    println!("response {:?}", response);
    Ok(())
}

Trait Implementations

impl Clone for DatasetService

fn clone(&self) -> DatasetService

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for DatasetService

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

Formats the value using the given formatter.