Google Datalab read from cloud storage

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Google Datalab read from cloud storage



i know this question has been asked many times but all answers do not fit my request.
I would like to retrieve a csv file that is stored into cloud storage from datalab.
In order to re-use the code in a normal application i DO NOT want to use the datalab.storage library but the official cloud storage and without any magic.



Is it possible?
Up to now I did:


from google.cloud import storage

client = storage.Client()
bucket = client.get_bucket(BUCKET_NAME)
blob = storage.Blob(gs_path, bucket)
# here I should put something equivalent to
# data = data_obj.read_stream() if using datalab.storage
# %gcs read --object $uri --variable data if using magic



How to do using clean storage library?
Thanks




1 Answer
1



Yes, this is possible. Assuming you want it saved to a file, you can use blob.download_to_filename()


def download_blob(bucket_name, source_blob_name, destination_file_name):
"""Downloads a blob from the bucket."""
storage_client = storage.Client()
bucket = storage_client.get_bucket(bucket_name)
blob = bucket.blob(source_blob_name)

blob.download_to_filename(destination_file_name)

print('Blob {} downloaded to {}.'.format(
source_blob_name,
destination_file_name))



Other options like download_as_string() and download_to_file() are available as well.



References:






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