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Why does my login to MS SQL with AzureML dataprep using Windows authentication fail?

I tried connecting to a MS SQL database using azureml.dataprep in an Azure Notebook, as outlined in https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-load-data#load-sql-data, using MSSqlDataSource, using code of the form

import azureml.dataprep as dprep

secret = dprep.register_secret(value="[SECRET-PASSWORD]", id="[SECRET-ID]")

ds = dprep.MSSQLDataSource(server_name="[SERVER-NAME]",
                       database_name="[DATABASE-NAME], [PORT]",
                       user_name="[DATABASE-USERNAME]",
                       password=secret)

Setting [DATABASE-USERNAME] equal to MYWINDOWSDOMAIN\\MYWINDOWSUSERNAME and the password [SECRET-PASSWORD] coinciding with my Windows password (i.e. trying to use Windows authentication).

After firing a query with

dataflow = dprep.read_sql(ds, "SELECT top 100 * FROM [dbo].[MYTABLE]")
dataflow.head(5)

I get

ExecutionError: Login failed.

I could connect to other databases without Windows Authentication fine. What am I doing wrong?

like image 637
Davide Fiocco Avatar asked Feb 09 '19 00:02

Davide Fiocco


1 Answers

Consider using SQL server authentication as a workaround/alternative solution to connect to that db (the same dataflow syntax will work):

import azureml.dataprep as dprep
secret = dprep.register_secret(value="[SECRET-PASSWORD]", id="[SECRET-ID]")

ds = dprep.MSSQLDataSource(server_name="[SERVER-NAME],[PORT]",
               database_name="[DATABASE-NAME]",
               user_name="[DATABASE-USERNAME]",
               password=secret)

Note that the usage of dataprep is deprecated, sqlalchemy can be used an alternative

import pandas as pd
from sqlalchemy import create_engine

def mssql_engine(user = "[DATABASE-USERNAME]", 
                 password = "[SECRET-PASSWORD]", 
                 host = "[SERVER-NAME],[PORT]",
                 db = "[DATABASE-NAME]"):
    engine = create_engine(f'mssql+pyodbc://{user}:{password}@{host}/{db}?driver=SQL+Server')
    return engine

query = "SELECT ..."

df = pd.read_sql(query, mssql_engine())
like image 50
Davide Fiocco Avatar answered Oct 25 '22 19:10

Davide Fiocco