Deploy to Azure Functions
This guide explains how to set up and deploy a Prisma based Node.js REST API to Azure Functions with Azure SQL as the database.
Azure Functions is a serverless deployment platform. You do not need to maintain infrastructure to deploy your code. Azure SQL Database is a relational database service built for the cloud with automatic scaling.
In this guide, you create the necessary resources in Azure, create the database schema with Prisma Migrate. You then deploy a Node.js REST API with resource endpoints that use Prisma Client to handle database operations against the Azure SQL database.
This guide shows how you can use Prisma in the Azure cloud, focusing on Azure Functions and Azure SQL. The starting point is the Prisma Azure Functions example. This is a REST API for a simple blog with two models: User
and Post
(one-to-many). The example contains REST endpoints preconfigured as serverless functions. It uses Prisma Client to fetch, create, and delete records from a database.
With Azure Functions, the fundamental building block is the function app. A function app provides an execution context in Azure in which your functions run. It is comprised of one or more individual functions that Azure manages, deploys, and scales together. You can organize and collectively manage multiple functions as a single logical unit.
Prerequisites
- An Azure account.
- Git installed.
- Azure CLI installed.
- Node.js installed.
Prisma workflow
In this guide, you use Prisma Migrate to create the database schema. Prisma Migrate is based on the Prisma schema. It generates .sql
migration files that are executed against the database.
Migrate comes with two primary workflows:
- Create migrations and apply during local development with
prisma migrate dev
. - Apply the generated migrations to production with
prisma migrate deploy
.
For brevity, this guide does not cover how you create migrations with prisma migrate dev
. It focuses on the production workflow with prisma migrate deploy
and uses the Prisma schema and SQL migration that are included in the example code.
To learn more about how migrations are created with Prisma Migrate, check out the start from scratch guide.
Required Azure resources
In this guide, you set up the following resources in your Azure account:
- Resource group
- Azure SQL Database server
- Database
- Firewall rule
- Storage account
- Function App
1. Download the example and install dependencies
1.1. Download the example
Steps
Open your terminal and navigate to a location of your choice.
Create the directory for the application code and download the example code:
$$$
Result
You directory contains the following files:
$CreatePost/$CreateUser/$DeletePost/$FilterPosts/$GetFeed/$GetPost/$PublishPost/$host.json$lib/$package.json$prisma/$proxies.json
1.2. Install the dependencies
Run the following command:
$
2. Sign in to Azure with the Azure CLI
Sign in with the following command in your terminal:
$
3. Create the Resource Group on Azure
In Azure, a resource group is a way to group together different cloud resources. Whenever you create a resource, such as an Azure Function, you must assign it a resource group. Because the REST API in this guide uses Azure Functions and an Azure SQL database, you must first create the resource group.
Steps
Use the following command:
$
Note: The command above creates the resource group in the germanywestcentral
region. You should create the resource group in the region closest to your users. For the full list of Azure regions, run the az account list-locations
command.
Result
The command outputs information about the created resource group similar to the following:
{"id": "/subscriptions/SUBSCRIPTION_ID/resourceGroups/prisma-azure-example","location": "germanywestcentral","managedBy": null,"name": "prisma-azure-example","properties": {"provisioningState": "Succeeded"},"tags": null,"type": "Microsoft.Resources/resourceGroups"}
4. Create the Azure SQL database server
Steps
To create the Azure SQL database server, run the following command. Before you run the command, replace UNIQUE_DB_SERVER_NAME
with a unique name for the database and replace CHOOSE_A_PASSWORD
with a password, and note it down.
$
The command does the following:
- Creates the database server in the
germanywestcentral
region. - Associates it with the
prisma-azure-example
resource group created in the previous step. - Sets a unique name for the Azure SQL server with
UNIQUE_DB_SERVER_NAME
. - Sets the admin user to
prisma
. - Sets the admin password.
- Enables public network access so you can create the database schema from your machine.
In the next step, you will create the database that Prisma will use in the REST API.
Result
The command outputs information similar to the following:
{"administratorLogin": "prisma","administratorLoginPassword": null,"administrators": null,"federatedClientId": null,"fullyQualifiedDomainName": "UNIQUE_DB_SERVER_NAME.database.windows.net","id": "/subscriptions/YOUR_SUBSCRIPTION_ID/resourceGroups/prisma-azure-example/providers/Microsoft.Sql/servers/UNIQUE_DB_SERVER_NAME","identity": null,"keyId": null,"kind": "v12.0","location": "westeurope","minimalTlsVersion": null,"name": "UNIQUE_DB_SERVER_NAME","primaryUserAssignedIdentityId": null,"privateEndpointConnections": [],"publicNetworkAccess": "Enabled","resourceGroup": "prisma-azure-example","restrictOutboundNetworkAccess": "Disabled","state": "Ready","tags": null,"type": "Microsoft.Sql/servers","version": "12.0","workspaceFeature": null}
5. Create the database
In this step, you create a database on the server that you created in the previous step.
Steps
Run the following command in the terminal. Replace UNIQUE_DB_SERVER_NAME
with the database name that you chose in the previous step:
$
Here's a breakdown of the command's parameters:
--resource-group
adds the database to the resource group created in step 3--server
sets the Azure SQL database server to create it in--name
sets the name of the database--service-objective
sets the database's service tier that determines the cost.
6. Create a firewall rule to allow local access to the database
In this step, you add two firewall rules:
- Rule 1: Allow remote access from your local computer's public IP to the Azure SQL database. This is necessary so that you can create the database schema and use the database to test locally.
- Rule 2: Allow access to the Azure SQL database from Azure Functions.
6.1. Allow access from your local computer
Steps
Determine your public IP with the following command:
$
Copy the IP from the output and run the following command. Replace YOUR_PUBLIC_IP
with the IP address and UNIQUE_DB_SERVER_NAME
with the name from step 4.
$
Result
The command outputs information similar to the following:
{"endIpAddress": "YOUR_PUBLIC_IP","id": "/subscriptions/YOUR_SUBSCRIPTION_ID/resourceGroups/prisma-azure-example/providers/Microsoft.Sql/servers/prisma-db/firewallRules/allow-local-access","kind": "v12.0","location": "Germany West Central","name": "allow-local-access","resourceGroup": "prisma-azure-example","startIpAddress": "YOUR_PUBLIC_IP","type": "Microsoft.Sql/servers/firewallRules"}
6.2 Allow access from Azure Functions
To allow applications hosted inside Azure to connect to your SQL server, you must enable Azure connections. To enable Azure connections, you set up a firewall rule with starting and ending IP addresses set to 0.0.0.0
.
Steps
Create the rule with the following command:
$
Result
The command outputs information similar to the following:
{"endIpAddress": "0.0.0.0","id": "/subscriptions/YOUR_SUBSCRIPTION_ID/resourceGroups/prisma-azure-example/providers/Microsoft.Sql/servers/UNIQUE_DB_SERVER_NAME/firewallRules/allow-function-access","name": "allow-function-access","resourceGroup": "prisma-azure-example","startIpAddress": "0.0.0.0","type": "Microsoft.Sql/servers/firewallRules"}
7. Create a storage account
In this step, you create a storage account. This account stores information about your functions, including state information.
Steps
Run the following command to create the storage account. Replace UNIQUE_STORAGE_ACCOUNT_NAME
with a name for the storage account:
$
Result
The command outputs a large JSON object. Check that the status of provisioningState
is Succeeded
:
{"id": "/subscriptions/YOUR_SUBSCRIPTION_ID/resourceGroups/prisma-azure-example/providers/Microsoft.Storage/storageAccounts/UNIQUE_STORAGE_ACCOUNT_NAME","provisioningState": "Succeeded","resourceGroup": "prisma-azure-example","type": "Microsoft.Storage/storageAccounts"}
8. Create the function app
In this step, you create the function app, which provides the environment in which your function code executes. A function app maps to your local function project and lets you group functions as a logical unit for easier management, deployment, and resource sharing.
Steps
Copy the following command.
- Replace
FUNCTION_APP_NAME
with a unique name for your function app. - Replace
STORAGE_ACCOUNT_NAME
with the name you chose in the previous step.
$
Note: You must choose a globally unique name for your Function App, because the name determines the subdomain of the deployed function.
Result
The command outputs a large JSON object in the terminal. Verify that that the state
key in the object is set to Running
.
9. Set the DATABASE_URL environment variable locally
In this step, you define the DATABASE_URL
environment variable locally to create the database schema and test the functions locally.
Steps
To construct the connection URL, copy the following connection URL template:
sqlserver://DB_SERVER_NAME.database.windows.net:1433;database=DB_NAME;user=DB_ADMIN_USER@DB_SERVER_NAME;password={DB_ADMIN_PASSWORD};encrypt=true;trustServerCertificate=false;hostNameInCertificate=*.database.windows.net;loginTimeout=30
Replace the following parts:
DB_SERVER_NAME
with the database server name defined in step 4DB_NAME
with the database name defined in step 5DB_ADMIN_USER
with the database admin user set in step 4 toprisma
DB_ADMIN_PASSWORD
with the database admin password set in step 4
After you set all the values, run the command as follows:
$
10. Create the Azure Functions local configuration
In this step, you create the local configuration file for Azure Functions. The file defines local configuration, such as environment variables, for the functions and the runtime – in this case Node.js
.
Steps
Use the following command to create a file named local.settings.json
in the root of the project:
Add the following contents to the file:
{"IsEncrypted": false,"Values": {"AzureWebJobsStorage": "","FUNCTIONS_WORKER_RUNTIME": "node"}}
11. Create the database schema
You can now create the database schema with the prisma migrate deploy
command.
Note: The prisma migrate deploy
command runs migration files from the prisma/migrations
folder. The initial migration is already included in the example. To learn more about how to create migrations, see the Prisma Migrate docs.
Steps
Run the following command to create the database schema:
$
Result
The command outputs information similar to the following::
1 migration found in prisma/migrationsThe following migration have been applied:migrations/└─ 20210322111219_init/└─ migration.sqlAll migrations have been successfully applied.
12. Expose the DATABASE_URL environment variable to the functions
In this step, you expose the DATABASE_URL
environment variable to the functions so that Prisma can connect to the database. In Azure Functions, you must set environment variables with app settings.
Steps
Run the following command. Replace FUNCTION_APP_NAME_FROM_STEP_8
with the name of the function app that you created in step 8:
$
The command sets the DATABASE_URL
app setting with the locally defined DATABASE_URL
environment variable that you set in step 9.
Note: By default, app settings are not encrypted. The DATABASE_URL
contains sensitive information. You can store it more securely in Azure's Key Vault
You have created all the necessary resources and configuration, which means that you can now deploy your API.
13. Deploy the functions
In this step, you generate Prisma Client and deploy the functions.
Steps
In the project directory, run the following command:
$
Result
The command generates Prisma Client in the node_modules
folder.
Steps
To deploy the functions, run the following command. Replace FUNCTION_APP_NAME
with the name of the function app that you created in step 8.
$
Result
You see output similar to the following:
Getting site publishing info...Uploading package...Uploading 67.24 MB [##############################################################################]Upload completed successfully.Deployment completed successfully.Syncing triggers...Functions in FUNCTION_APP_NAME:CreatePost - [httpTrigger]Invoke url: https://FUNCTION_APP_NAME.azurewebsites.net/api/postCreateUser - [httpTrigger]Invoke url: https://FUNCTION_APP_NAME.azurewebsites.net/api/userDeletePost - [httpTrigger]Invoke url: https://FUNCTION_APP_NAME.azurewebsites.net/api/post/{postid}FilterPosts - [httpTrigger]Invoke url: https://FUNCTION_APP_NAME.azurewebsites.net/api/filterpostsGetFeed - [httpTrigger]Invoke url: https://FUNCTION_APP_NAME.azurewebsites.net/api/feedGetPost - [httpTrigger]Invoke url: https://FUNCTION_APP_NAME.azurewebsites.net/api/post/{postid}PublishPost - [httpTrigger]Invoke url: https://FUNCTION_APP_NAME.azurewebsites.net/api/publish/{postid}
You successfully deployed a Prisma based REST API to Azure Functions, with Azure SQL as the database.
What's next
In the next step, you test the functions and take a closer look at how the functions are implemented.
14. Test the deployed functions
In this step, you test the API's different endpoints with the URLs from the previous step.
Steps
Use the following command to make a POST HTTP request to the CreateUser endpoint with curl. Replace FUNCTION_APP_NAME
in the URL with the app name you chose in step 8.
$
Result
You see the created user object returned, similar to the following:
{"createdAt": "2021-03-02T14:48:15.746Z","email": "alice@prisma.io","id": 1,"name": "Alice"}
The files associated with the function are as follows. They are in the CreateUser
folder.
function.json
: Function configuration, such as the HTTP method, path, and return value.index.js
: The function handler that uses Prisma Client to create the user in the Azure SQL database.
Steps
Use the following command to create a post associated with the user you created. Replace FUNCTION_APP_NAME
in the URL with the app name that you chose in step 8.
$
Result
You see the created post object returned, similar to the following:
{"id": 1,"createdAt": "2021-03-02T17:09:53.160Z","updatedAt": "2021-03-02T17:09:53.161Z","title": "Prisma with Azure","content": "","published": false,"authorId": 1}
Steps
To update the published
field of the post, make the following request. Replace FUNCTION_APP_NAME
in the URL with the app name that you chose in step 8.
$
Result
You see the updated post object returned, similar to the following:
{"authorId": 1,"content": "","createdAt": "2021-03-02T17:09:53.160Z","id": 1,"published": true,"title": "Prisma with Azure","updatedAt": "2021-03-03T10:07:11.047Z"}
Steps
Finally, to test the feed endpoint, make the following request. Replace FUNCTION_APP_NAME
in the URL with the app name that you chose in step 8.
$
Result
You see the post you created and the related author, similar to the following:
[{"id": 1,"createdAt": "2023-01-24T12:14:04.340Z","updatedAt": "2023-01-24T12:19:11.121Z","title": "Prisma with Azure","content": "","published": true,"authorId": 1,"author": {"id": 1,"createdAt": "2023-01-24T12:10:04.206Z","email": "alice@prisma.io","name": "Alice"}}]
Develop and debug the functions locally
When you implement Azure Functions, you can also start a local development environment with the Azure Functions Core tools' function runtime. This lets you test and debug the implementation of the functions locally.
To launch the functions runtime, run the following command:
$
The command starts a local server and allows you to call any of the functions in the project.
To inject environment variables into the functions, add them to the Values
object in the local.settings.json
file at the root of the project.
Set up a local database for development
When you develop locally, consider running a local Microsoft SQL Server instance. Microsoft SQL Server is not the same as Azure SQL, but the two have high compatibility with each other.
The quickest way to set up a local Microsoft SQL Server is with Docker. See the Microsoft SQL Server example for information on how to set it up.
Bootstrap a new function
When you want to create a new function, you can use the following command to bootstrap the new function:
The command creates a folder with the index.js
and function.json
files.
Summary
Congratulations! You have successfully deployed the REST API to Azure Functions and used Prisma Client to handle database queries to the Azure SQL database.
For more insight into Prisma Client's API, explore the function handlers and check out the Prisma Client API Reference
While this guide uses the Azure CLI to create all the resources, you can also create the resources with the Azure Portal UI or the VS Code extension, which supports deployments directly from VS Code.
As a next step, you might want to learn how to implement a continuous delivery pipeline with GitHub Actions to automate the deployment process from a GitHub repository.