GCSUploader

class streaming.base.storage.GCSUploader(out, keep_local=False, progress_bar=False, retry=2, exist_ok=False)

Upload file from local machine to Google Cloud Storage bucket.

Parameters

• out (str | Tuple[str, str]) –

  Output dataset directory to save shard files.

  1. If out is a local directory, shard files are saved locally.

  2. If out is a remote directory, a local temporary directory is created to cache the shard files and then the shard files are uploaded to a remote location. At the end, the temp directory is deleted once shards are uploaded.

  3. If out is a tuple of (local_dir, remote_dir), shard files are saved in the local_dir and also uploaded to a remote location.

• keep_local (bool) – If the dataset is uploaded, whether to keep the local dataset shard file or remove it after uploading. Defaults to False.

• progress_bar (bool) – Display TQDM progress bars for uploading output dataset files to a remote location. Default to False.

• retry (int) – Number of times to retry uploading a file. Defaults to 2.

• exist_ok (bool) – When exist_ok = False, raise error if the local part of out already exists and has contents. Defaults to False.

check_bucket_exists(remote)

Raise an exception if the bucket does not exist.

Parameters

remote (str) – GCS bucket path.

Raises

error – Bucket does not exist.

list_objects(prefix=None)

List all objects in the GCS object store with the given prefix.

Parameters

prefix (Optional[str], optional) – The prefix to search for. Defaults to None.

Returns

List[str] – A list of object names that match the prefix.

upload_file(filename)

Upload file from local instance to Google Cloud Storage bucket.

Parameters

filename (str) – File to upload.