DataStax-Examples/google-cloud-functions-nodejs

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.Contributor(s): Chris SplinterObjectivesHow to use the DataStax Cassandra Driver with Google Cloud FunctionsHow to use the Serverless Framework to set up Google Cloud Functions HTTP EndpointsProject Layoutindex.js: Contains the Cassandra Driver connection and queries as well as the Google Cloud Function entry points.serverless.yml: Used by serverless to deploy and configure the Google Cloud artifacts needed to run the function.package.json: Defines the dependencies and descriptive example metadata.How it worksThe 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.Setup & RunningSetupBefore running with this example, head over to the SETUP-README for instructions on how tolaunch an instance in Google Cloudinstall and start a Cassandra databasesetup your local development environment for Node.js and serverlessOnce the above is completed, you will have all of the needed pieces in place to run this example.Clone this repositorygit clone https://github.com/DataStax-Examples/google-cloud-functions-nodejs.gitGo to the google-cloud-functions-nodejs directorycd google-cloud-functions-nodejsInstall the DataStax Cassandra Drivernpm install cassandra-driverInstall serverless-google-cloudfunctions pluginnpm install serverless-google-cloudfunctionsConfigure serverless.yml with your project-id, credentials file, Contact Points ( public IP of GCP instance ), and Local Data Center ( likely datacenter1 )RunningFrom the project directory, deploy your function. This should output the endpoints that you can use to access the database.sls deployWhen you are done, don't forget to clean things up withsls removeUsing the HTTP EndpointscreateCatalogcurl -X POST https://us-central1-<project-id>.cloudfunctions.net/createCatalogexpected output:"Successfully created shopping.catalog schema"addItemNote 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/addItemexpected output:{"query":"INSERT INTO shopping.catalog (item_id, name, description, price) VALUES (?, ?, ?, ?)","item_id":0,"name":"name_0","description":"desc_0","price":10.1}getItemcurl -X GET https://us-central1-<project-id>.cloudfunctions.net/getItem/0expected output:{"query":"SELECT name, description, price FROM shopping.catalog WHERE item_id = ?","item_id":["0"],"name":"name_0","description":"desc_0","price":"10.1"}