BigQuery-Dataset autorisieren

BigQuery-Dataset autorisieren

Codebeispiel

Java

Bevor Sie dieses Beispiel anwenden, folgen Sie den Schritten zur Einrichtung von Java in der BigQuery-Kurzanleitung zur Verwendung von Clientbibliotheken. Weitere Angaben finden Sie in der Referenzdokumentation zur BigQuery Java API.

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import com.google.cloud.bigquery.Acl;
import com.google.cloud.bigquery.BigQuery;
import com.google.cloud.bigquery.BigQueryException;
import com.google.cloud.bigquery.BigQueryOptions;
import com.google.cloud.bigquery.Dataset;
import com.google.cloud.bigquery.DatasetId;
import com.google.common.collect.ImmutableList;
import java.util.ArrayList;
import java.util.List;

public class AuthorizeDataset {

  public static void main(String[] args) {
    // TODO(developer): Replace these variables before running the sample.
    String projectId = "PROJECT_ID";
    String sourceDatasetName = "BIGQUERY_SOURCE_DATASET_NAME";
    String userDatasetName = "BIGQUERY_USER_DATASET_NAME";
    authorizeDataset(
        DatasetId.of(projectId, sourceDatasetName), DatasetId.of(projectId, userDatasetName));
  }

  // This method will update sourceDataset's ACL with userDataset's ACL
  public static void authorizeDataset(DatasetId sourceDatasetId, DatasetId userDatasetId) {
    try {
      // Initialize client that will be used to send requests. This client only needs to be created
      // once, and can be reused for multiple requests.
      BigQuery bigquery = BigQueryOptions.getDefaultInstance().getService();

      // Get both source and user dataset's references
      Dataset sourceDataset = bigquery.getDataset(sourceDatasetId);
      Dataset userDataset = bigquery.getDataset(userDatasetId);

      // Get the source dataset's ACL
      List<Acl> sourceDatasetAcl = new ArrayList<>(sourceDataset.getAcl());

      // Add the user dataset's DatasetAccessEntry object to the existing sourceDatasetAcl
      List<String> targetTypes = ImmutableList.of("VIEWS");
      Acl.DatasetAclEntity userDatasetAclEntity =
          new Acl.DatasetAclEntity(userDatasetId, targetTypes);
      sourceDatasetAcl.add(Acl.of(userDatasetAclEntity));

      // update the source dataset with user dataset's ACL
      Dataset updatedSourceDataset =
          sourceDataset.toBuilder().setAcl(sourceDatasetAcl).build().update();

      System.out.printf(
          "Dataset %s updated with the added authorization\n", updatedSourceDataset.getDatasetId());

    } catch (BigQueryException e) {
      System.out.println("Dataset Authorization failed due to error: \n" + e);
    }
  }
}

Ruby

Bevor Sie dieses Beispiel ausprobieren, folgen Sie der Ruby-Einrichtungsanleitung in der BigQuery-Kurzanleitung zur Verwendung von Clientbibliotheken. Weitere Angaben finden Sie in der Referenzdokumentation zur BigQuery Ruby API.

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require "google/cloud/bigquery"

##
# This is a snippet for showcasing how to authorize a dataset.
#
# Note: Only views target types are supported for now.
#
# @param source_project_id [String] The ID of the source Google Cloud project.
# @param source_database_id [String] The ID of the source database.
# @param user_project_id [String] The ID of the user Google Cloud project.
# @param user_database_id [String] The ID of the user database.
# @param target_types [Array<String>] List of target types for authorization.
#
def authorized_dataset source_project_id:, source_database_id:, user_project_id:, user_database_id:, target_types:
  # Initialize client and get source dataset's references
  source_bigquery = Google::Cloud::Bigquery.new project_id: source_project_id
  source_dataset  = source_bigquery.dataset source_database_id

  # Initialize client and get user dataset's references
  user_bigquery = Google::Cloud::Bigquery.new project_id: user_project_id
  user_dataset  = user_bigquery.dataset user_database_id

  # Add the user dataset's DatasetAccessEntry object to the existing source dataset rules
  source_dataset.access do |access|
    access.add_reader_dataset user_dataset.build_access_entry(target_types: target_types)
  end

  puts "Dataset #{user_dataset.dataset_id} added as authorized dataset in dataset #{source_dataset.dataset_id}"
end

Nächste Schritte

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