Hi @eenaagrawal ,
There isn't a specific built-in integration in Databricks to directly interact with Sharepoint. However, you can accomplish this by leveraging libraries like Office365-REST-Python-Client, which enable interaction with Sharepoint's REST API.
Here are the steps you can follow:
1. Set Up a Service Principal in Azure (if using SharePoint Online)
- Register an app in Azure Active Directory to obtain a Client ID and Client Secret.
- Assign the appropriate permissions to the app for accessing your SharePoint resources.
2. Install Required Libraries
- In your Databricks notebook, install the necessary Python libraries:
- Code: %pip install Office365-REST-Python-Client
3. Generate Access Token
- You will need an access token to interact with SharePoint. Authenticate using the registered app's IDs (from Azure).
- Example:
from office365.runtime.auth.authentication_context import AuthenticationContext
from office365.sharepoint.client_context import ClientContext
site_url = " " client_id = " " client_secret = " " context_auth = AuthenticationContext(site_url) if context_auth.acquire_token_for_app(client_id, client_secret):
ctx = ClientContext(site_url, context_auth)
print("Authentication successful")
else:
print(context_auth.get_last_error())
4. Read the File in Databricks
- Read or prepare the file you want to upload to Sharepoint within Databricks. For instance:
file_path = "/dbfs/path/to/your/file.csv"with open(file_path, "rb") as file:
file_content = file.read()
5. Upload File to SharePoint
- Specify the SharePoint document library or folder and upload the file:
target_folder_url = "/sites/yoursite/Shared Documents/folder_name" file_name = "file.csv"
target_folder = ctx.web.get_folder_by_server_relative_url(target_folder_url) file_upload = target_folder.upload_file(file_name, file_content)
ctx.execute_query()
print(f"File {file_name} uploaded successfully.")
6. Verify the Uploaded File
- After uploading, you can query your SharePoint site to confirm the file exists in the intended location
