Excluir um conjunto de dados.
Páginas de documentação que incluem esta amostra de código
Para visualizar o exemplo de código usado em contexto, consulte a seguinte documentação:
Exemplo de código
Go
import (
"context"
"fmt"
"io"
healthcare "google.golang.org/api/healthcare/v1"
)
// deleteDataset deletes the given dataset.
func deleteDataset(w io.Writer, projectID, location, datasetID string) error {
ctx := context.Background()
healthcareService, err := healthcare.NewService(ctx)
if err != nil {
return fmt.Errorf("healthcare.NewService: %v", err)
}
datasetsService := healthcareService.Projects.Locations.Datasets
name := fmt.Sprintf("projects/%s/locations/%s/datasets/%s", projectID, location, datasetID)
if _, err := datasetsService.Delete(name).Do(); err != nil {
return fmt.Errorf("Delete: %v", err)
}
fmt.Fprintf(w, "Deleted dataset: %q\n", name)
return nil
}
Java
import com.google.api.client.http.HttpRequestInitializer;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.jackson2.JacksonFactory;
import com.google.api.services.healthcare.v1.CloudHealthcare;
import com.google.api.services.healthcare.v1.CloudHealthcare.Projects.Locations.Datasets;
import com.google.api.services.healthcare.v1.CloudHealthcareScopes;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;
public class DatasetDelete {
private static final String DATASET_NAME = "projects/%s/locations/%s/datasets/%s";
private static final JsonFactory JSON_FACTORY = new JacksonFactory();
private static final NetHttpTransport HTTP_TRANSPORT = new NetHttpTransport();
public static void datasetDelete(String datasetName) throws IOException {
// String datasetName =
// String.format(DATASET_NAME, "your-project-id", "your-region-id", "your-dataset-id");
// Initialize the client, which will be used to interact with the service.
CloudHealthcare client = createClient();
// Create request and configure any parameters.
Datasets.Delete request = client.projects().locations().datasets().delete(datasetName);
// Execute the request and process the results.
request.execute();
System.out.println("Dataset deleted.");
}
private static CloudHealthcare createClient() throws IOException {
// Use Application Default Credentials (ADC) to authenticate the requests
// For more information see https://cloud.google.com/docs/authentication/production
GoogleCredentials credential =
GoogleCredentials.getApplicationDefault()
.createScoped(Collections.singleton(CloudHealthcareScopes.CLOUD_PLATFORM));
// Create a HttpRequestInitializer, which will provide a baseline configuration to all requests.
HttpRequestInitializer requestInitializer =
request -> {
new HttpCredentialsAdapter(credential).initialize(request);
request.setConnectTimeout(60000); // 1 minute connect timeout
request.setReadTimeout(60000); // 1 minute read timeout
};
// Build the client for interacting with the service.
return new CloudHealthcare.Builder(HTTP_TRANSPORT, JSON_FACTORY, requestInitializer)
.setApplicationName("your-application-name")
.build();
}
}
Node.js
const google = require('@googleapis/healthcare');
const healthcare = google.healthcare({
version: 'v1',
auth: new google.auth.GoogleAuth({
scopes: ['https://www.googleapis.com/auth/cloud-platform'],
}),
});
const deleteDataset = async () => {
// TODO(developer): uncomment these lines before running the sample
// const cloudRegion = 'us-central1';
// const projectId = 'adjective-noun-123';
// const datasetId = 'my-dataset';
const parent = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}`;
const request = {name: parent};
await healthcare.projects.locations.datasets.delete(request);
console.log(`Deleted dataset: ${datasetId}`);
};
deleteDataset();
Python
def delete_dataset(project_id, location, dataset_id):
"""Deletes a dataset.
See https://github.com/GoogleCloudPlatform/python-docs-samples/tree/master/healthcare/api-client/v1/datasets
before running the sample."""
# Imports the Google API Discovery Service.
from googleapiclient import discovery
api_version = "v1"
service_name = "healthcare"
# Returns an authorized API client by discovering the Healthcare API
# and using GOOGLE_APPLICATION_CREDENTIALS environment variable.
client = discovery.build(service_name, api_version)
# TODO(developer): Uncomment these lines and replace with your values.
# project_id = 'my-project' # replace with your GCP project ID
# location = 'us-central1' # replace with the dataset's location
# dataset_id = 'my-dataset' # replace with your dataset ID
dataset_name = "projects/{}/locations/{}/datasets/{}".format(
project_id, location, dataset_id
)
request = client.projects().locations().datasets().delete(name=dataset_name)
response = request.execute()
print("Deleted dataset: {}".format(dataset_id))
return response
A seguir
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