Question 1

How do I set up Entra ID authentication with mssql-python?

Accepted Answer

Use a connection string with Authentication=ActiveDirectoryInteractive or other Entra ID methods like ActiveDirectoryDeviceCode. Refer to the driver's wiki for detailed examples on configuring different authentication flows for various environments.

Question 2

mssql-python vs pyodbc: which is better for SQL Server?

Accepted Answer

mssql-python offers direct DBBC connectivity and superior Entra ID integration, making it ideal for Azure-heavy setups. pyodbc is more mature, supports multiple databases via ODBC, and has a larger community, so choose based on your need for Microsoft ecosystem depth vs. broader compatibility.

Question 3

Can I use mssql-python with Django or SQLAlchemy?

Accepted Answer

Yes, since it's DB API 2.0 compliant, it should work with Django's database backends and SQLAlchemy's create_engine. However, you may need to check for specific dialect support or community contributions due to its relative newness.

Question 4

How to configure connection pooling settings in mssql-python?

Accepted Answer

Connection pooling is enabled by default; you can adjust parameters like pool size or timeout via connection string options or environment variables. Detailed configuration steps are available in the Connection Pooling Wiki page.

Question 5

What are the system requirements for installing mssql-python on Linux?

Accepted Answer

It requires platform-specific libraries: on Alpine, install libtool and krb5-libs; on Debian/Ubuntu, libltdl7 and krb5 libraries; on RHEL, libtool-ltdl and krb5-libs. Follow the installation commands in the README for your distribution.

Question 6

Is mssql-python compatible with Python async frameworks?

Accepted Answer

The driver currently does not natively support asynchronous operations; it uses synchronous DB API calls. For async applications, you might need to use it with threading or consider alternative drivers that offer async support.

mssql-python

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