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Procore

Export to SQL Server Using Azure Functions

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Overview

This guide walks you through setting up and deploying an Azure Function for integrating Delta Sharing data with Procore Analytics. The Azure Function enables efficient data processing and sharing workflows with Delta Sharing profiles.

Prerequisites

  • Procore Analytics 2.0 SKU.
  • Delta Sharing profile file:
    • Your *.share file containing Delta Sharing credentials. For convenience, place it inside the downloaded package.
    • Python Environment:
      • Installed Python 3.9+ and pip on your system.
  •  Azure Setup:
    • Azure CLI installed and logged in.
    • Azure Functions Core Tools installed.

Steps

Prepare the Package

  1. Download the required package (adls_azure_function or sql_server_azure_function).
  2. Extract the package files to a local directory.
  3. Place Delta Sharing file:
    • Copy your *.share Delta Sharing profile file into the extracted directory.

 Install Dependencies

  1. Open a terminal in the package directory.
  2. Run the following command to install the required Python dependencies:
    • pip install -r requirements.txt

Generate Configuration

  1. Generate the config.yaml file by running:
    • python user_exp.py
  2. The script will prompt you to enter credentials such as:
    • Tables
    • Database name
    • Host
    • Additional credentials..
  3. The configuration can be reused or updated manually or by re-running python user_exp.py.

 Azure CLI Setup

  1. Log in to Azure.
  2. Run the following command to log in:
    az login
  3. Verify Azure Account:
    • az account show
    • If the az command is not available, install the Azure CLI by following the instructions found here: Microsoft Learn.

Install Azure Functions Core Tools

Go to Microsoft Learn to for instructions on installing Azure Functions Core Tools.

Prepare the Azure Function

  1. Use the Azure Portal guide to create the following:
    • A function app
    • A resource group
    • Consumption plan
    • Storage account
  2. Set Custom Cron schedule (Optional).
    • Open function_app.py in an editor.
    • Locate the line: @app.timer_trigger(schedule="0 0 */8 * * *",
  3. Replace the schedule with your custom Cron expression and save the file.

Deployment

  1. Open a terminal in the package directory (adls_azure_function).
  2. Run the following deployment command:
    • func azure functionapp publish <FunctionAppName> --build remote --python --clean
  3. Replace <FunctionAppName> with the name of your Azure function app in your Azure subscription.

Validation

  • Ensure the deployment is successful by checking the Azure Portal for your function app status.
  • Monitor logs to verify that the function is executing as expected.