List data transfer configurations

Lists all BigQuery Data Transfer Service transfer configurations for a given project.

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For detailed documentation that includes this code sample, see the following:

Code sample

Java

Before trying this sample, follow the Java setup instructions in the BigQuery quickstart using client libraries. For more information, see the BigQuery Java API reference documentation.

To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries.

import com.google.api.gax.rpc.ApiException;
import com.google.cloud.bigquery.datatransfer.v1.DataTransferServiceClient;
import com.google.cloud.bigquery.datatransfer.v1.ListTransferConfigsRequest;
import com.google.cloud.bigquery.datatransfer.v1.ProjectName;
import java.io.IOException;

// Sample to get list of transfer config
public class ListTransferConfigs {

  public static void main(String[] args) throws IOException {
    // TODO(developer): Replace these variables before running the sample.
    final String projectId = "MY_PROJECT_ID";
    listTransferConfigs(projectId);
  }

  public static void listTransferConfigs(String projectId) throws IOException {
    try (DataTransferServiceClient dataTransferServiceClient = DataTransferServiceClient.create()) {
      ProjectName parent = ProjectName.of(projectId);
      ListTransferConfigsRequest request =
          ListTransferConfigsRequest.newBuilder().setParent(parent.toString()).build();
      dataTransferServiceClient
          .listTransferConfigs(request)
          .iterateAll()
          .forEach(config -> System.out.print("Success! Config ID :" + config.getName() + "\n"));
    } catch (ApiException ex) {
      System.out.println("Config list not found due to error." + ex.toString());
    }
  }
}

Node.js

Before trying this sample, follow the Node.js setup instructions in the BigQuery quickstart using client libraries. For more information, see the BigQuery Node.js API reference documentation.

To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries.

const {
  DataTransferServiceClient,
} = require('@google-cloud/bigquery-data-transfer');
const {status} = require('@grpc/grpc-js');

const client = new DataTransferServiceClient();

/**
 * Lists all transfer configurations for a project.
 * This shows how to iterate through all the transfer configurations in a project.
 *
 * @param {string} projectId Google Cloud Project ID (for example, 'example-project-id').
 * @param {string} [location="us-central1"] Google Cloud location (for example, 'us-central1').
 */
async function listTransferConfigs(projectId, location = 'us-central1') {
  const request = {
    parent: `projects/${projectId}/locations/${location}`,
  };

  try {
    const [configs] = await client.listTransferConfigs(request);

    if (configs.length === 0) {
      console.error(
        `No transfer configurations found in project '${projectId}' at location '${location}'.`,
      );
      return;
    }

    console.log(`Found ${configs.length} transfer configurations:`);
    for (const config of configs) {
      console.log(`\nConfiguration: ${config.name}`);
      console.log(`  Display Name: ${config.displayName}`);
      console.log(`  Data Source ID: ${config.dataSourceId}`);
      console.log(`  Destination Dataset ID: ${config.destinationDatasetId}`);
      console.log(`  State: ${config.state}`);
    }
  } catch (err) {
    if (err.code === status.NOT_FOUND) {
      console.error(
        `Project '${projectId}' not found or BigQuery Data Transfer API is not enabled.`,
      );
    } else {
      console.error('Error listing transfer configurations:', err);
    }
  }
}

Python

Before trying this sample, follow the Python setup instructions in the BigQuery quickstart using client libraries. For more information, see the BigQuery Python API reference documentation.

To authenticate to BigQuery, set up Application Default Credentials. For more information, see Set up authentication for client libraries.

from google.cloud import bigquery_datatransfer

transfer_client = bigquery_datatransfer.DataTransferServiceClient()

project_id = "my-project"
parent = transfer_client.common_project_path(project_id)

configs = transfer_client.list_transfer_configs(parent=parent)
print("Got the following configs:")
for config in configs:
    print(f"\tID: {config.name}, Schedule: {config.schedule}")

What's next

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