Databricks mount point creation step by step

Creating a mount point in Databricks allows you to access external storage (like Azure Blob Storage, ADLS, or AWS S3) as if it were part of your Databricks file system (DBFS). Here’s a step-by-step guide on how to create a mount point in Databricks: For Azure Data Lake Storage Gen2 or Blob Storage 1. Get your storage account information and credentials You will need: o Storage account name o Container name o Access key or SAS token or OAuth credentials 2. Mount the storage using Databricks CLI or notebook code You typically do this in a Databricks notebook by using the dbutils.fs.mount() function. Here is an example mounting an Azure Blob Storage container using an access key:

For Azure Data Lake Storage Gen2 with OAuth (more secure) You configure a service principal and use OAuth tokens for mounting. Example code snippet: 

configs = {

  "fs.azure.account.auth.type": "OAuth",

  "fs.azure.account.oauth.provider.type": "org.apache.hadoop.fs.azurebfs.oauth2.ClientCredsTokenProvider",

  "fs.azure.account.oauth2.client.id": "<application-id>",

  "fs.azure.account.oauth2.client.secret": dbutils.secrets.get(scope="<scope-name>", key="<secret-key>"),

  "fs.azure.account.oauth2.client.endpoint": "https://login.microsoftonline.com/<directory-id>/oauth2/token"

}

dbutils.fs.mount(

  source = "abfss://<container-name>@<storage-account-name>.dfs.core.windows.net/",

  mount_point = "/mnt/<mount-name>",

  extra_configs = configs

)