Large File Upload Max_Conncurrenct

Hi,

I am using the following code from one of the other posts in the the azure sdk and i keep seeing there is a Max_Concurrency or Max_Connections. I was wondering if it can be used in the code to allow more chunk uploads at the same time.

`import os
from azure.storage.blob import BlobServiceClient, BlobClient
from azure.storage.blob import ContentSettings, ContainerClient,BlobBlock
import uuid

# Instantiate a new BlobServiceClient using a connection string
blob_service_client = BlobServiceClient.from_connection_string("Conn String")
# Instantiate a new ContainerClient
container_client = blob_service_client.get_container_client('cctvvideo')
blob_client = container_client.get_blob_client(r"file.mp4")
# upload data
block_list=[]
chunk_size=4000000
with open(r'C:\Temp\file.mp4','rb') as f:

while True:
read_data = f.read(chunk_size)
if not read_data:
break # done
blk_id = str(uuid.uuid4())
blob_client.stage_block(block_id=blk_id,data=read_data)
block_list.append(BlobBlock(block_id=blk_id))
print (uuid.uuid4())

blob_client.commit_block_list(block_list)`

Thanks in advance.

The issue names no repository file, test, or entry point, so start by locating the Python blob upload implementation and any existing concurrency options. The requested outcome is unclear: the author asks whether concurrent chunk uploads are supported rather than specifying a code change or acceptance test.

Written by the indexing model from the issue text.