Ingest Knowledge To Azure SQL Database Utilizing Azure Databricks


On this tutorial, we’re going to talk about a number of methods to hook up with Azure SQL Databases from Azure Databricks. We can even undergo the code for every methodology.

Azure SQL Database connectivity with Azure Databricks

There are a number of methods to setup connectivity from Azure Databricks to Azure SQL Database.

SQL Database Connectivity utilizing pyodbc with native consumer authentication and password

We are able to use pyodbc to determine connectivity and ingest knowledge to Azure SQL Database utilizing pyodbc.

Supply code appears to be like as follows,

import pyodbc
# Setup the connection string for Azure SQL Database
connection = pyodbc.join('DRIVER={ODBC Driver 17 for SQL Server};SERVER={servername};DATABASE={databasename};Trusted_Connection=sure;'
# Create a cursor object from the connection string and execute the SQL instructions
cursor.execute("{outline your sql question}")
# Get the Question Consequence
whereas 1:
    row = cursor.fetchone()
    if not row:

With the intention to use the pyodbc to attach and work with Azure SQL Database, we’ve to first import the pyodbc python package deal. As soon as the python package deal is imported, we’ve to outline the SQL Database connection string utilizing pyodc utilizing SQL Server Identify, Azure SQL Database Identify. As soon as the connection configurations are created, we’ve to create a cursor object to arrange the connection strings and execute the SQL instructions. We are able to entry the cursor question execution output immediately or write a loop to learn every line one after the other.

SQL DataBase connectivity utilizing pyodbc with Service Principal Authentication

With the intention to use, Azure Service Principal utilizing pyodbc with Azure SQL Database, there are a couple of pre-requisites,

Azure Service Principal ought to be created as a consumer of the Azure SQL Database.

Related roles to Azure Service Principal consumer.

context = adal.AuthenticationContext(authority)
token = context.acquire_token_with_client_credentials(resource_app_id_url, service_principal_id, service_principal_secret)
access_token = token["accessToken"]

jdbc_db = spark.learn 
        .choice("url", url) 
        .choice("dbtable", table_name) 
        .choice("accessToken", access_token) 
        .choice("encrypt", "true") 
        .choice("hostNameInCertificate", "*.database.home windows.internet") 

Right here, we’ve to supply Azure AD Service Principal Identify and password to generate the Azure AD entry token and use this token to attach and question Azure SQL Database.

Utilizing Pyspark to hook up with Azure SQL Database

Apache Spark additionally allows us to simply learn and write Parquet recordsdata to Azure SQL Database.

  .choice("url", f"jdbc:sqlserver://{servername}.database.home windows.internet;databaseName={databasename};")
  .choice("dbtable", "{tablename}")
  .choice("consumer", {localusername})
  .choice("password", {localpassword})
  .choice("driver", "")
  .choice("customSchema", "sqlschemadetails")

Now we have to specify the JDBC connection string together with SQL consumer identify and password together with the schema identify. 

However whereas establishing the connectivity from different providers to the Azure SQL database, It’s higher to comply with the under suggestions to configure Azure SQL Database securely.

Create firewall guidelines for Azure SQL Database

As soon as we allow Azure firewall guidelines for Azure SQL Database, it can mainly disable all of the connectivity from the skin world to Azure SQL Database. Solely the connection IP talked about within the firewall record will be capable to hook up with the Azure SQL server and database.

Moreover, additionally set Enable Entry to off for the SQL server configurations. All of the communication to the SQL server is completed by way of port 1433.

Entry to Azure SQL Database utilizing Azure AD Teams

We are able to create native customers inside Azure SQL Database and use this username and password for the authentication to Azure SQL DB. However this isn’t the really helpful technique to authenticate Azure SQL DB is by way of Azure AD Integration utilizing a single sign-on.

Allow Safety Options for Azure SQL Database

Azure Defender for SQL

Azure SQL database has an inbuilt characteristic that may detect all potential threats and supply safety alerts,


The auditing characteristic will mechanically observe all of the logs for varied operations that occur within the Azure SQL Database. Audit logs might be saved within the Azure Storage, Monitor logs, or Azure Occasion Hub.

Ingest Data To Azure SQL Database Using Azure Databricks

Allow Dynamic Knowledge Masking for delicate knowledge

With the intention to keep away from exposing delicate knowledge to the end-users, we are able to allow dynamic knowledge masking.

Ingest Data To Azure SQL Database Using Azure Databricks

Clear Knowledge Encryption

This characteristic mechanically encrypts all the info at relaxation and it does not require any handbook motion to learn the encrypted database.


So, on this article, we explored a number of methods to hook up with the Azure SQL database and we’ve additionally explored code for a similar. Moreover, we’ve additionally explored what are one of the best safety practices to configure Azure SQL server and SQL database from the configuration perspective.

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