I am using the latest Azure Storage SDK (azure-storage-blob-12.7.1). It works fine for smaller files but throwing exceptions for larger files > 30MB.
azure.core.exceptions.ServiceResponseError: ('Connection aborted.', timeout('The write operation timed out'))
from azure.storage.blob import BlobServiceClient, PublicAccess, BlobProperties,ContainerClient
def upload(file):
settings = read_settings()
connection_string = settings['connection_string']
container_client = ContainerClient.from_connection_string(connection_string,'backup')
blob_client = container_client.get_blob_client(file)
with open(file,"rb") as data:
blob_client.upload_blob(data)
print(f'{file} uploaded to blob storage')
upload('crashes.csv')
Seems everything works for me by your code when I tried to upload a ~180MB .txt file. But if uploading small files work for you, I think uploading your big file in small parts could be a workaround. Try the code below:
from azure.storage.blob import BlobClient
storage_connection_string=''
container_name = ''
dest_file_name = ''
local_file_path = ''
blob_client = BlobClient.from_connection_string(storage_connection_string,container_name,dest_file_name)
#upload 4 MB for each request
chunk_size=4*1024*1024
if(blob_client.exists):
blob_client.delete_blob()
blob_client.create_append_blob()
with open(local_file_path, "rb") as stream:
while True:
read_data = stream.read(chunk_size)
if not read_data:
print('uploaded')
break
blob_client.append_block(read_data)
Result: