Azure SQL Database Pipeline Project

Overview

Microsoft Azure provides a wide number of services for managing and storing data. One
product is Microsoft Azure SQL. Which gives us the capability to create and manage
instances of SQL Servers hosted in the cloud. This project, demonstrates how to use these
services to manage data we collect from different sources.

Resources

To use this project you will need to install some dependencies to connect to the database.
To download the drivers needed go to to Microsoft SQL Drivers for Python. Once you download it, run through
the installation process.

Resources – PYODBC with Azure:

If you would like to read more on the topic of using PYODBC in conjunction with Microsoft
Azure, then I would refer you to the documentation provided by Microsoft.

Setup

Right now, this project is not planned to be hosted on PyPi so you will need to do
a local install on your system if you plan to use it in other scrips you use. First,
clone this repo to your local system.

Setup – Local Install:

If you plan to use this project in other projects on your system, I would recommend you
either install this project in editable mode or do a local install. For those of you,
who want to make modifications to this project. I would recommend you install the library
in editable mode.

If you want to install the library in editable mode, make sure to run the setup.py
file, so you can install any dependencies you may need. To run the setup.py file,
run the following command in your terminal.

pip install -e .

If you don’t plan to make any modifications to the project but still want to use it across
your different projects, then do a local install.

pip install .

This will install all the dependencies listed in the setup.py file. Once done
you can use the library wherever you want.

Setup – Requirement Install:

If you don’t plan to use this project in any of your other projects, I would recommend you
just install the dependencies by using the requirement.txt file.

pip install --requirement requirements.txt

Usage

Here is a simple example of using the azure_sql_pipeline library to grab a specific
database from our SQL Server.

from pprint import pprint
from configparser import ConfigParser
from azure_data_pipeline.client import AzureSQLClient

# Initialize the Parser.
config = ConfigParser()

# Read the file.
config.read('config/config.ini')

# Grab the Azure Management Credentials.
subscription_id = config.get('azure_credentials', 'azure_subscription_id')
tenant_id = config.get('azure_credentials', 'azure_tenant_id')
client_id = config.get('azure_credentials', 'azure_client_id')
client_secret = config.get('azure_credentials', 'azure_client_secret')

# Grab the Azure SQL Server Credentials.
server_username = config.get('server_info', 'administrator_login')
server_password = config.get('server_info', 'administrator_login_password')

# Initialize the client.
azure_pipeline_client = AzureSQLClient(
    client_id=client_id,
    client_secret=client_secret,
    subscription_id=subscription_id,
    tenant_id=tenant_id,
    username=server_username,
    password=server_password
)