This repository contains unofficial patterns, sample code, or tools to help developers build more effectively with Fauna. All Fauna Labs repositories are provided “as-is” and without support. By using this repository or its contents, you agree that this repository may never be officially supported and moved to the Fauna organization.
Serverless quick start Serverless Fauna plugin Fauna get started
fql
- Fauna Query Language (FQL) queries used in serverless.yml.functions
- AWS Lambda functions for accessing your database.jsonSchemas
- Used to specify the request shape for Amazon API Gateway.seed
- A Lambda function to populate your database with demo data.
- Create an empty database in the Fauna dashboard.
- Create an Admin key for your new database and copy the generated secret.
- Copy
.env.sample
to.env
and paste the generated secret as theFAUNA_SECRET
value. - Run
npm install
to install dependencies. - Run
serverless fauna deploy
to create the Fauna collections, indexes, roles, and functions in your database. - Run
serverless invoke local --function seed
to seed your database with demo data.
serverless deploy
After you deploy, you have the following database schema populated with the demo data from the seed directory.
[
{
data: [
Collection("customers"),
Collection("orders"),
Collection("products"),
Collection("stores")
]
},
{
data: [
Index("products_by_customer"),
Index("all_orders"),
Index("all_customers"),
Index("all_stores"),
Index("all_products"),
Index("products_by_store"),
Index("products_by_price_high_to_low"),
Index("products_by_price_low_to_high"),
Index("customer_by_email"),
Index("orders_by_customer")
]
},
{
data: [Role("customer")]
},
{
data: [Ref(Ref("functions"), "submit_order")]
}
]
The Serverless Framework also creates an Amazon API Gateway REST API and Lambda functions and connects them together.
Endpoint | Function | Description |
---|---|---|
GET /products | list_products | Return list of all products |
POST /customers | register | Customer registration |
POST /customers/login | login | Exchange customer credentials to secret |
POST /orders | submit_order | Customer purchase product(s) |
GET /orders | customer_orders | Return list of customer orders |
serverless invoke local \
--function register \
--data '{"body": "{\"email\":\"[email protected]\",\"password\":\"111111\",\"address\":{\"street\":\"72 Waxwing Terrace\",\"city\":\"Washington\",\"state\":\"DC\",\"zipCode\":\"20002\"},\"creditCard\":{\"network\":\"Visa\",\"number\":\"4916112310613672\"}}"}'
serverless invoke local \
--function login \
--data '{"body": "{\"email\":\"[email protected]\",\"password\":\"111111\"}"}'
Copy the secret/id
values to use as replacements for the CUSTOMER_SECRET/CUSTOMER_ID
placeholders in the following requests.
serverless invoke local \
--function list_products \
--data '{"headers": {"secret": "CUSTOMER_SECRET"}}'
serverless invoke local \
--function list_products \
--data '{"queryStringParameters": {"priceSort": "low-to-high"}, "headers": {"secret": "CUSTOMER_SECRET"}}'
serverless invoke local \
--function list_products \
--data '{"queryStringParameters": {"storeId": "303"}, "headers": {"secret": "CUSTOMER_SECRET"}}'
serverless invoke local \
--function submit_order \
--data '{"headers": {"secret": "CUSTOMER_SECRET"},"body": "{\"products\":[{\"productId\":\"209\",\"quantity\":1}]}"}'
serverless invoke local \
--function customer_orders \
--data '{"headers": {"secret": "CUSTOMER_SECRET"}}'
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