devart-sqlserver-connector 1.3.0

New level of functionality and performance in data access via Python

Python Connector for SQL Server

Python Connector for SQL Server is a connectivity solution for accessing SQL Server databases from Python applications. It fully implements the Python DB API 2.0 specification. The connector is distributed as a wheel package for Windows, macOS, and Linux.

Direct connection

The connector enables you to establish a direct connection to SQL Server from a Python application via TCP/IP, eliminating the need for the database client library. A direct connection increases the speed of data transmission between the application and SQL Server database server. It also streamlines the deployment process since you don't have to distribute any client libraries with the application.

Secure communication

Connecting

To establish a connection to a SQL Server database, import the connector and use the connect() method with your connection parameters.

Import the connector

First, import the SQL Server connector module:

import devart.sqlserver

Establish a connection

Connect to a database using the connect() module method and obtain a connection object.

You can connect using either mixed mode authentication and Windows authentication.

Mixed mode authentication

For mixed mode authentication, provide your server name, database, user ID, and password:

my_connection = devart.sqlserver.connect("Authentication=Windows;Server=your_server;Database=your_database")

Replace the example values with your actual server name, database, and database credentials.

Windows authentication

For Windows authentication, provide your server and database names. The connector will use your Windows account credentials:

my_connection = devart.sqlserver.connect("Authentication=Windows;Server=your_server;Database=your_database")

Replace the example values with your actual server and database names.

Querying data

Once connected to SQL Server, you can execute SQL queries to retrieve data from your SQL Server database.

Execute a query

Create a cursor object using the cursor() connection method.

my_cursor = my_connection.cursor()

Execute a SQL query using the execute() cursor method.

my_cursor.execute("SELECT * FROM employees")

Retrieve results using one of the fetch*() methods.

for row in my_cursor.fetchall(): 
    print(row)

Parameterized queries

You can use parameterized queries to pass variable values to your SQL statements. This allows you to reuse the same query with different data and helps to prevent SQL injection attacks.

Pass parameters as a list or tuple to the

execute()

method:

query = "SELECT Id, Name FROM Contact WHERE Name = ? AND Email = ?"
params = ["Jordan Sanders", "[e-mail]"]
my_cursor.execute(query, params)
results = my_cursor.fetchall()
for row in results:
    print(row)

Each placeholder ? in the query is replaced with a corresponding value from the parameter list.

Ordering and activating the license

You can purchase a license for the connector on the ordering page:
https://www.devart.com/python/sqlserver/ordering.html

To activate the license, follow the instructions in the documentation:
https://docs.devart.com/python/sqlserver/activate-a-license.htm

What's new

Python Connector for SQL Server 1.3

• Added support for Python 3.14
• Added support for the Bearer Token authentication when using an HTTP tunnel
• Improved compatibility with Microsoft SQL Server 2000