Sube todos los archivos en un directorio

Usa el Administrador de transferencias para subir todos los archivos en un directorio con simultaneidad.

Explora más

Para obtener documentación en la que se incluye esta muestra de código, consulta lo siguiente:

Muestra de código

Java

Si deseas obtener más información, consulta la documentación de referencia de la API de Cloud Storage Java.

Para autenticarte en Cloud Storage, configura las credenciales predeterminadas de la aplicación. Si deseas obtener más información, consulta Configura la autenticación para bibliotecas cliente. 

import com.google.cloud.storage.transfermanager.ParallelUploadConfig;
import com.google.cloud.storage.transfermanager.TransferManager;
import com.google.cloud.storage.transfermanager.TransferManagerConfig;
import com.google.cloud.storage.transfermanager.UploadResult;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Stream;

class UploadDirectory {

  public static void uploadDirectoryContents(String bucketName, Path sourceDirectory)
      throws IOException {
    TransferManager transferManager = TransferManagerConfig.newBuilder().build().getService();
    ParallelUploadConfig parallelUploadConfig =
        ParallelUploadConfig.newBuilder().setBucketName(bucketName).build();

    // Create a list to store the file paths
    List<Path> filePaths = new ArrayList<>();
    // Get all files in the directory
    // try-with-resource to ensure pathStream is closed
    try (Stream<Path> pathStream = Files.walk(sourceDirectory)) {
      pathStream.filter(Files::isRegularFile).forEach(filePaths::add);
    }
    List<UploadResult> results =
        transferManager.uploadFiles(filePaths, parallelUploadConfig).getUploadResults();
    for (UploadResult result : results) {
      System.out.println(
          "Upload for "
              + result.getInput().getName()
              + " completed with status "
              + result.getStatus());
    }
  }
}

Node.js

Si deseas obtener más información, consulta la documentación de referencia de la API de Cloud Storage Node.js.

Para autenticarte en Cloud Storage, configura las credenciales predeterminadas de la aplicación. Si deseas obtener más información, consulta Configura la autenticación para bibliotecas cliente. 

/**
 * TODO(developer): Uncomment the following lines before running the sample.
 */
// The ID of your GCS bucket
// const bucketName = 'your-unique-bucket-name';

// The local directory to upload
// const directoryName = 'your-directory';

// Imports the Google Cloud client library
const {Storage, TransferManager} = require('@google-cloud/storage');

// Creates a client
const storage = new Storage();

// Creates a transfer manager client
const transferManager = new TransferManager(storage.bucket(bucketName));

async function uploadDirectoryWithTransferManager() {
  // Uploads the directory
  await transferManager.uploadManyFiles(directoryName);

  console.log(`${directoryName} uploaded to ${bucketName}.`);
}

uploadDirectoryWithTransferManager().catch(console.error);

Python

Si deseas obtener más información, consulta la documentación de referencia de la API de Cloud Storage Python.

Para autenticarte en Cloud Storage, configura las credenciales predeterminadas de la aplicación. Si deseas obtener más información, consulta Configura la autenticación para bibliotecas cliente. 

def upload_directory_with_transfer_manager(bucket_name, source_directory, workers=8):
    """Upload every file in a directory, including all files in subdirectories.

    Each blob name is derived from the filename, not including the `directory`
    parameter itself. For complete control of the blob name for each file (and
    other aspects of individual blob metadata), use
    transfer_manager.upload_many() instead.
    """

    # The ID of your GCS bucket
    # bucket_name = "your-bucket-name"

    # The directory on your computer to upload. Files in the directory and its
    # subdirectories will be uploaded. An empty string means "the current
    # working directory".
    # source_directory=""

    # The maximum number of processes to use for the operation. The performance
    # impact of this value depends on the use case, but smaller files usually
    # benefit from a higher number of processes. Each additional process occupies
    # some CPU and memory resources until finished. Threads can be used instead
    # of processes by passing `worker_type=transfer_manager.THREAD`.
    # workers=8

    from pathlib import Path

    from google.cloud.storage import Client, transfer_manager

    storage_client = Client()
    bucket = storage_client.bucket(bucket_name)

    # Generate a list of paths (in string form) relative to the `directory`.
    # This can be done in a single list comprehension, but is expanded into
    # multiple lines here for clarity.

    # First, recursively get all files in `directory` as Path objects.
    directory_as_path_obj = Path(source_directory)
    paths = directory_as_path_obj.rglob("*")

    # Filter so the list only includes files, not directories themselves.
    file_paths = [path for path in paths if path.is_file()]

    # These paths are relative to the current working directory. Next, make them
    # relative to `directory`
    relative_paths = [path.relative_to(source_directory) for path in file_paths]

    # Finally, convert them all to strings.
    string_paths = [str(path) for path in relative_paths]

    print("Found {} files.".format(len(string_paths)))

    # Start the upload.
    results = transfer_manager.upload_many_from_filenames(
        bucket, string_paths, source_directory=source_directory, max_workers=workers
    )

    for name, result in zip(string_paths, results):
        # The results list is either `None` or an exception for each filename in
        # the input list, in order.

        if isinstance(result, Exception):
            print("Failed to upload {} due to exception: {}".format(name, result))
        else:
            print("Uploaded {} to {}.".format(name, bucket.name))

¿Qué sigue?

Para buscar y filtrar muestras de código para otros productos de Google Cloud, consulta el navegador de muestra de Google Cloud.