pymssql-utils 0.0.4

A lightweight module that wraps and extends the PyMSSQL library.

pymssql-utils (ALPHA)

A lightweight module that wraps and extends the pymssql library.

The aim of this module is to make it easier to use pymssql by:

• Reducing the amount of boilerplate code needed, and being fully type hinted.
• Baking in sensible defaults and good usage patterns.
• Returning a helpful DatabaseResult class for each execution.
• Parsing various SQL Types to native Python types that pymssql misses.
• Making it easier to serialise your data.
• Letting you easily choose how to handle errors.
• Providing various utility functions for building dynamic SQL queries or logging query output.
• Fixing various edge case bugs that arise when using pymssql.

The trade-off with "baking in" various patterns and options is that this module is opinionated as to what best practice is. This module does not strive to be the most performant or flexible way of using pymssql, for that just use pymssql. However, this module aims to make interfacing with a MS SQL server to be as hassle-free as possible, while making your code explicit and neat.

This module was created naturally over the course of a few years of using pymssql in various projects.

Please raise any suggestions or issues via GitHub.

Installation

This module can be installed via pip: pip install pymssql-utils. This module requires Python >= 3 AND Pip >= 19.3

Quick Start (TODO)

Running a simple query:

import os

import pymssqlutils as sql

os.environ["DB_NAME"] = "MASTER"

Notes

Why pymssql when Microsoft officially recommends pyodbc (opinion)?

ODBC drivers add an extra layer between Python and SQL Server which can introduce issues that outway the benefits of pyodbc. The drivers have various levels of support on differeing linux distributions, and if you develop in containers or require to run the same code on various platforms you can run into issues. There are other minor reasons that to prefer pymssql, e.g. pymssql's parameter subsitution is done client-side allowing better visibiltiy on what the server is actually running. And pymssql has better support for MSSQL specific data types such as Datetimeoffset.