Upload a file to Azure Blob Storage (ADLS Gen 2) using Python

Today we will learn on how to upload a csv file to Azure Blob Storage (ADLS) using Python 

Steps:

• Create a file to be uploaded to Azure Storage
• Create a python script
• Install Azure package from pip
• pip install azure-storage-file-datalake
• Import the azure module
• import os, uuid, sys
• from azure.storage.filedatalake import DataLakeServiceClient
• from azure.core._match_conditions import MatchConditions
• from azure.storage.filedatalake._models import ContentSettings
• Create a connection to your Azure storage in the python script
• service_client = DataLakeServiceClient(account_url="{}://{}.dfs.core.windows.net".format("https", 'Storage_account_name'), credential='Storage_Account_Key')
• Specify the container name
• file_system_client = service_client.get_file_system_client(file_system="your_container_name")
• Specify the directory in your Azure storage
• directory_client = file_system_client.get_directory_client("my-directory")
• Create a blank txt file
• file_client = directory_client.create_file("uploaded-file.txt")
• Read the txt file from your local computer
• append the data into the txt file (by calling the append_data() function) created in the Azure storage
•  local_file = open("C:\\Users\\xxxxxxx\\Desktop\\testFile.txt", 'r')
•  file_contents = local_file.read()
•  file_client.append_data(data=file_contents, offset=0, length=len(file_contents))
•  file_client.flush_data(len(file_contents))

• Go to your Azure blob storage and view the results

                                                                        

To know more about the File upload operations, visit Microsoft Site