upload_blob and download_blob takes 2 seconds to execute which increases execution time of our API

Question

This is how we are creating a pdf on azure blob storage and reading the file from Azure blob storage

upload_blob and download_blob takes 2 seconds to execute which increases execution time of our API

i tried async but it didnt reduced time. func tools caching also didnt helped

for redis caching we would need a new server

import logging
import os
from azure.storage.blob import ContainerClient
from starlette.config import Config
from datetime import timedelta
from datetime import datetime
import pytz

class azure_storage_account:
    def __init__(self, azure_storage_connection_string="",container_name =""):
        dir_path = os.getcwd()
        config = Config(dir_path + os.sep + '.env')
        if azure_storage_connection_string == "":
            self.azure_storage_connection_string = config('AZURE_STORAGE_CONNECTION_STRING')
        else:
            self.azure_storage_connection_string = azure_storage_connection_string

        if container_name == "":
            self.container_name = config('AZURE_API_FILE_CONTAINER')
        else:
            self.container_name = container_name
        
        self.container_client = ContainerClient.from_connection_string(conn_str=self.azure_storage_connection_string,container_name=self.container_name)


    def create_file(self,file_path,data=""):
        try:
            blob_client = self.container_client.get_blob_client(file_path)
            blob_client.upload_blob(data,overwrite=True)
            return True
        
        except Exception as e:
            logging.error(e)
            return False


    def read_file(self,file_path):
        try:
            file_stream =  self.container_client.download_blob(file_path)
            file_content = file_stream.readall()
            return file_content
        
        except Exception as e:
            logging.error(e)
            return False

Answer 1

Hi ,

Thanks for reaching out to Microsoft Q&A.

Few pointers from my side to check:

• Even though you mentioned trying async, ensure you're using the azure-storage-blob async client.
• Azure Storage supports chunked uploads, which can speed up large file transfers.
• use parallel execution with concurrent.futures
• If you're dealing with logs or sequential data appends, consider AppendBlob instead of BlockBlob

Please feel free to click the 'Upvote' (Thumbs-up) button and 'Accept as Answer'. This helps the community by allowing others with similar queries to easily find the solution.