To connect to Azure Analysis Services from Databricks, you can try the SQL Server Analysis Services (SSAS) connector. Please note that adodbapi is a Python library used for connecting to databases using the ADO (ActiveX Data Objects) technology, which is a part of the Windows COM (Component Object Model) technology. It's not directly compatible with Databricks as Databricks runs on Linux-based Spark clusters and doesn't support Windows COM/ADO technologies. So, can you try to connect to Azure Analysis Services using the Pyodbc library:
%python
import pyodbc
driver = "{ODBC Driver 17 for SQL Server}"
server = "your_server.database.windows.net"
database = "your_database"
username = "your_username"
password = "your_password"
analysis_services_database = "your_analysis_services_database"
connection_string = f"DRIVER={driver};SERVER={server};DATABASE={database};UID={username};PWD={password};"
conn = pyodbc.connect(connection_string, autocommit=True)
cursor = conn.cursor()
query = f"SELECT * FROM {analysis_services_database}..."
cursor.execute(query)
Please enter your actual MSFT Azure Analysis Services server, database, username, and password. Please note that you need to install the Pyodbc library and ODBC Driver for SQL Server in your Databricks cluster.
