To ingest data from a table in Azure Databricks using an Azure Function, you can utilize the Azure Databricks REST API or ODBC to connect to your Databricks workspace. Here's a general approach:
Using PyODBC with an Azure Function (Python)
This approach connects to Databricks using ODBC and runs a SQL query.
Set Up an ODBC Connection - Install the ODBC driver. Download the Databricks ODBC Driver from Databricks Documentation.
Set up a Databricks SQL Warehouse (formerly called SQL Endpoint) in the Databricks UI.
Configure the ODBC connection string with:
- Databricks Server hostname
- HTTP Path
- Access Token (from Databricks UI)
Write Azure Function (Python) to Query Data. Create an HTTP-triggered Azure Function to fetch data.
Using the Databricks REST API
Generate a Databricks Token
Go to Databricks Workspace → User Settings → Access Tokens → Generate a token.
Call the API from an Azure Function.
Use the /api/2.0/sql/statements
endpoint to execute queries.
Similar issues: https://learn.microsoft.com/en-us/answers/questions/1810630/what-is-the-best-way-to-access-data-in-the-data-br
For more details refer: https://learn.microsoft.com/en-us/azure/databricks/tables/streaming#before-you-begin
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