Google Cloud Functions + Astra DB using Node.js

This example shows how to use Google Cloud Functions with the Node.js DataStax Cassandra Driver to set up a basic REST API for a Cassandra database via HTTP Endpoints.

30 minutes β€’ Intermediate

Updated March 14, 2022


Astra DB REST API with Google Cloud Functions in Node.js

30 minutes, Intermediate, Start Building

This example shows how to use Google Cloud Functions with the Node.js DataStax Cassandra Driver to set up a basic REST API for a Cassandra database via HTTP Endpoints. The Serverless Framework is used to facilitate the setup and deployment of the functions.

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Objectives

  • How to use the DataStax Cassandra Driver with Google Cloud Functions
  • How to use the Serverless Framework to set up Google Cloud Functions HTTP Endpoints

How it works

The Serverless Framework handles the packaging and deployment of the functions to the Google Cloud resources. Once the functions are deployed, the DataStax Cassandra Driver establishes the connection to the database and returns the results via the Google Cloud HTTP Endpoints which can be accessed to interact with the database.

Get Started

To build and play with this app, follow the build instructions that are located here: https://github.com/DataStax-Examples/google-cloud-functions-nodejs

Prerequisites

Let's do some initial setup by creating a serverless(!) database.

DataStax Astra

  1. Create a DataStax Astra account if you don't already have one: image

  2. On the home page. Locate the button Create Database image

  3. Locate the Get Started button to continue image

  4. Define a database name, keyspace name and select a database region, then click create database. image

  5. Your Astra DB will be ready when the status will change from Pending to Active πŸ’₯πŸ’₯πŸ’₯ image

  6. After your database is provisioned, we need to generate an Application Token for our App. Go to the Settings tab in the database home screen. image

  7. Select Admin User for the role for this Sample App and then generate the token. Download the CSV so that we can use the credentials we need later. image

  8. After you have your Application Token, head to the database connect screen and select the driver connection that we need. Go ahead and download the Secure Bundle for the driver. image

  9. Make note of where to use the Client Id and Client Secret that is part of the Application Token that we generated earlier. image

Github

  1. Click Use this template at the top of the GitHub Repository: image

  2. Enter a repository name and click 'Create repository from template': image

  3. Clone the repository: image

πŸš€ Getting Started Paths:

Make sure you've completed the prerequisites before starting this step

Running on your local machine

Before running with this example, head over to the SETUP-README for instructions on how to

  1. launch an instance in Google Cloud
  2. install and start a Cassandra database
  3. setup your local development environment for Node.js and serverless

Once the above is completed, you will have all of the needed pieces in place to run this example.

  1. Install the DataStax Cassandra Driver
npm install cassandra-driver
  1. Install serverless-google-cloudfunctions plugin
npm install serverless-google-cloudfunctions
  1. Configure serverless.yml with your project-id, credentials file, Contact Points ( public IP of GCP instance ), and Local Data Center ( likely datacenter1 )

From the project directory, deploy your function. This should output the endpoints that you can use to access the database.

sls deploy
  • When you are done, don't forget to clean things up with
sls remove

createCatalog

curl -X POST https://us-central1-<project-id>.cloudfunctions.net/createCatalog

expected output:

"Successfully created shopping.catalog schema"

addItem

Note the -H "Content-Type:application/json" is required here.

curl -X POST -H "Content-Type:application/json" -d '{"item_id": 0, "name": "name_0", "description": "desc_0", "price": 10.1}' https://us-central1-<project-id>.cloudfunctions.net/addItem

expected output:

{"query":"INSERT INTO shopping.catalog (item_id, name, description, price) VALUES (?, ?, ?, ?)","item_id":0,"name":"name_0","description":"desc_0","price":10.1}

getItem

curl -X GET https://us-central1-<project-id>.cloudfunctions.net/getItem/0

expected output:

{"query":"SELECT name, description, price FROM shopping.catalog WHERE item_id = ?","item_id":["0"],"name":"name_0","description":"desc_0","price":"10.1"}

Datastax contributors

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