pyodbc-mssql-lambda-layer

AWS Lambda layer to connect to SQL Server using PyODBC, UnixODBC and Microsoft ODBC 18 driver for SQL Server.

Features

• Builds for Python 3.11 and 3.12

• Also builds for x86_64 and ARM64

• Microsoft ODBC 18 for SQL Server

• Latest UnixODBC

  I'm pulling the latest version from the Amazon Linux 2023 repository so that'll tick your security boxes.

Download Prebuilt Release

https://github.com/davidcomerford/pyodbc-mssql-lambda-layer/releases/latest

Or Build Your Own

1. Download the Dockerfile

2. Build image

   docker buildx build --file=Dockerfile.python.3.12 --tag pyodbc-mssql .

3. Run a temporary container to get the zip file

   docker run --rm --volume $(pwd):/tmp pyodbc-mssql cp /layer.zip /tmp/

Test it locally

Download, unzip and run python from inside a new container.

unzip layer.zip -d layer-test
cd layer-test
docker run --rm -v $(pwd):/opt -it public.ecr.aws/sam/build-python3.12 python

When you add a layer to a function, Lambda extracts the layer contents into the /opt directory in your function’s execution environment. All Lambda runtimes include paths to specific directories within the /opt directory. This gives your function access to your layer content.

We'll simulate this behaviour locally with sys.path.append().

import sys
sys.path.append('/opt/python')
import pyodbc

With the pyodbc module loaded, lets connect to a database and run a simple query.

SERVER = 'db.microsoft.com'
DATABASE = 'sampleDB'
USERNAME = 'sa'
PASSWORD = 'M3g@hrtz'

connectionString = f'DRIVER={{ODBC Driver 18 for SQL Server}};SERVER={SERVER};DATABASE={DATABASE};UID={USERNAME};PWD={PASSWORD};TrustServerCertificate=yes'
conn = pyodbc.connect(connectionString)

SQL_QUERY="""
SELECT @@VERSION
GO
"""

cursor = conn.cursor()
cursor.execute(SQL_QUERY)

records = cursor.fetchall()
for r in records:
    print(r)