How to read/write to Onelake lakehouse using function app

Hi AdarshPanasri ,

To connect to OneLake Lakehouse and perform read/write operations, you can follow the steps below:

You can use Microsoft Entra ID to authenticate your client.

Here is a Python example:

First, run the following statement to install the required packages.

pip install azure-identity azure-storage-file-datalake

To authenticate, replace <your-tenant-id>, <your-client-id>, and <your-client-secret> with your actual tenant ID, client ID, and client secret, respectively.

from azure.identity import ClientSecretCredential
from azure.storage.filedatalake import DataLakeServiceClient

tenant_id = "<your-tenant-id>"
client_id = "<your-client-id>"
client_secret = "<your-client-secret>"

credential = ClientSecretCredential(tenant_id, client_id, client_secret)
service_client = DataLakeServiceClient(account_url=https://<your-account-name>.dfs.core.windows.net, credential=credential)

Regarding identity verification, this article may be helpful to you:

How to use service principal authentication to access Microsoft Fabric's OneLake (dataroots.io)

Regarding your question about permissions, there are two aspects.

Read permissions:

• ReadData permissions on SQL endpoints to access data without SQL policies.
• ReadAll permissions for all data in the lake warehouse using Apache Spark.

Write permissions:

• You need to be assigned one of the following roles in your workspace: Admin, Member, or Contributor.
  
  

If you have any questions or need further help, feel free to contact me!

Best Regards,
Yang
Community Support Team

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