Caricare molti oggetti

Utilizza Transfer Manager per caricare molti file in contemporanea.

Per saperne di più

Per la documentazione dettagliata che include questo esempio di codice, vedi quanto segue:

Esempio di codice

Java

Per saperne di più, consulta la documentazione di riferimento dell'API Cloud Storage Java.

Per eseguire l'autenticazione in Cloud Storage, configura le Credenziali predefinite dell'applicazione. Per saperne di più, vedi Configurare l'autenticazione per le librerie client. 

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.Path;
import java.util.List;

class UploadMany {

  public static void uploadManyFiles(String bucketName, List<Path> files) throws IOException {
    TransferManager transferManager = TransferManagerConfig.newBuilder().build().getService();
    ParallelUploadConfig parallelUploadConfig =
        ParallelUploadConfig.newBuilder().setBucketName(bucketName).build();
    List<UploadResult> results =
        transferManager.uploadFiles(files, parallelUploadConfig).getUploadResults();
    for (UploadResult result : results) {
      System.out.println(
          "Upload for "
              + result.getInput().getName()
              + " completed with status "
              + result.getStatus());
    }
  }
}

Node.js

Per saperne di più, consulta la documentazione di riferimento dell'API Cloud Storage Node.js.

Per eseguire l'autenticazione in Cloud Storage, configura le Credenziali predefinite dell'applicazione. Per saperne di più, vedi Configurare l'autenticazione per le librerie client. 

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

// The ID of the first GCS file to upload
// const firstFilePath = 'your-first-file-name';

// The ID of the second GCS file to upload
// const secondFilePath = 'your-second-file-name';

// 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 uploadManyFilesWithTransferManager() {
  // Uploads the files
  await transferManager.uploadManyFiles([firstFilePath, secondFilePath]);

  for (const filePath of [firstFilePath, secondFilePath]) {
    console.log(`${filePath} uploaded to ${bucketName}.`);
  }
}

uploadManyFilesWithTransferManager().catch(console.error);

Python

Per saperne di più, consulta la documentazione di riferimento dell'API Cloud Storage Python.

Per eseguire l'autenticazione in Cloud Storage, configura le Credenziali predefinite dell'applicazione. Per saperne di più, vedi Configurare l'autenticazione per le librerie client. 

def upload_many_blobs_with_transfer_manager(
    bucket_name, filenames, source_directory="", workers=8
):
    """Upload every file in a list to a bucket, concurrently in a process pool.

    Each blob name is derived from the filename, not including the
    `source_directory` parameter. 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"

    # A list (or other iterable) of filenames to upload.
    # filenames = ["file_1.txt", "file_2.txt"]

    # The directory on your computer that is the root of all of the files in the
    # list of filenames. This string is prepended (with os.path.join()) to each
    # filename to get the full path to the file. Relative paths and absolute
    # paths are both accepted. This string is not included in the name of the
    # uploaded blob; it is only used to find the source files. An empty string
    # means "the current working directory". Note that this parameter allows
    # directory traversal (e.g. "/", "../") and is not intended for unsanitized
    # end user input.
    # 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 google.cloud.storage import Client, transfer_manager

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

    results = transfer_manager.upload_many_from_filenames(
        bucket, filenames, source_directory=source_directory, max_workers=workers
    )

    for name, result in zip(filenames, 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))

Passaggi successivi

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