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Appliquer un correctif à un ensemble de données.

Pages de documentation incluant cet exemple de code

Pour afficher l'exemple de code utilisé en contexte, consultez la documentation suivante :

Exemple de code


import (

	healthcare "google.golang.org/api/healthcare/v1"

// patchDataset updates (patches) a dataset by updating its timezone..
func patchDataset(w io.Writer, projectID, location, datasetID, newTimeZone 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.Patch(name, &healthcare.Dataset{
		TimeZone: newTimeZone,
	}).UpdateMask("timeZone").Do(); err != nil {
		return fmt.Errorf("Patch: %v", err)

	fmt.Fprintf(w, "Patched dataset %s with timeZone %s\n", datasetID, newTimeZone)

	return nil


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.api.services.healthcare.v1.model.Dataset;
import com.google.auth.http.HttpCredentialsAdapter;
import com.google.auth.oauth2.GoogleCredentials;
import java.io.IOException;
import java.util.Collections;

public class DatasetPatch {
  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 datasetPatch(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();

    // Fetch the initial state of the dataset.
    Datasets.Get getRequest = client.projects().locations().datasets().get(datasetName);
    Dataset dataset = getRequest.execute();

    // Update the Dataset fields as needed as needed. For a full list of dataset fields, see:
    // https://cloud.google.com/healthcare/docs/reference/rest/v1beta1/projects.locations.datasets#Dataset

    // Create request and configure any parameters.
    Datasets.Patch request =
            .patch(datasetName, dataset)

    // Execute the request and process the results.
    dataset = request.execute();
    System.out.println("Dataset patched: \n" + dataset.toPrettyString());

  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 =

    // 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)


const {google} = require('googleapis');
const healthcare = google.healthcare('v1');

const patchDataset = async () => {
  const auth = await google.auth.getClient({
    scopes: ['https://www.googleapis.com/auth/cloud-platform'],

  // TODO(developer): uncomment these lines before running the sample
  // const cloudRegion = 'us-central1';
  // const projectId = 'adjective-noun-123';
  // const datasetId = 'my-dataset';
  // const timeZone = 'UTC';
  const name = `projects/${projectId}/locations/${cloudRegion}/datasets/${datasetId}`;
  const request = {
    updateMask: 'timeZone',
    resource: {timeZone: timeZone},

  await healthcare.projects.locations.datasets.patch(request);
  console.log(`Dataset ${datasetId} patched with time zone ${timeZone}`);



def patch_dataset(project_id, cloud_region, dataset_id, time_zone):
    """Updates dataset metadata."""
    client = get_client()
    dataset_parent = 'projects/{}/locations/{}'.format(
        project_id, cloud_region)
    dataset_name = '{}/datasets/{}'.format(dataset_parent, dataset_id)

    # Sets the time zone to GMT
    patch = {
        'timeZone': time_zone

    request = client.projects().locations().datasets().patch(
        name=dataset_name, updateMask='timeZone', body=patch)

    response = request.execute()
        'Patched dataset {} with time zone: {}'.format(
    return response