Running NodeJS

Seeding Test Data

🙋 Need help? Ask an expert now!

Test Data Generation

People make a living developing test data generators. Here, as a poor man's seeding method, we'll type in some data into YAML files and run a few simple custom programs to load the data into our dev instance of MongoDB.

Review data-seed YAML Files

In the IDE, review src/data-seed/sample-data/item.yaml and user.yaml. Note, we're hardcoding the _id so that we can use them in the sample GraphQL queries and mutations delivered with the demo. When seeding actual development, you'd leave the _id assignment lines out.

In case you don't know much about YAML other than everything must be indented and list elements must start with a dash, >- is a YAML indicator used in front of open text info.

Notice that item_details have different structures in the two sample Items and User Order Items as well - to illustrate how MongoDB handles flexible structure Documents.

Review data-seed Loaders

Next, using the IDE, review src/data-seed/item-seed.js, user-seed.js and user-order-seed.js

In async function startRun(), we're plugging in into the code of the core application so that we can utilize the same configuration and connect to MongoDB. This part of the code is, basically, borrowed from src/server.js that we'll review later. Once connected to the DB, we call await loadData() and then exit, closing the DB connection.

async function loadData() reads data from the YAML file with the hardcoded name, converts into JS object with the help of js-yaml external 3rd party package, loops over the object's records and creates DB Documents, one by one. Not a particularly efficient way, but simple enough to load a few records. One area for improvement - batch up Creates, which is achievable by using bulk operations in MongoDB. This would requires some tweaking, which is out of scope for this course. If interested, you can check out this sample in the EXLskills gql-server

Run the Loaders

From your host's terminal shell (PowerShell on Windows), enter node-dev shell:

docker exec -it node-dev bash
cd /myapp

Then copy - paste the load launch commands from the top of the .js files and execute them from the node-dev shell:

npx babel-node src/data-seed/item-seed.js
npx babel-node src/data-seed/user-seed.js
npx babel-node src/data-seed/user-order-seed.js

There may be a few-seconds delay after launching the command till the detailed debug logging starts filling the screen, but, overall, the process completes fast.

Yes!!! We've got it kicking.

Review The Data in MongoDB Compass

Start MongoDB Compass on your host and connect to the localhost port 27017 database, with no Authentication - the default offer of the entry screen. You'll see web-dev database. Open it up and start clicking around. It's fun!

We can start the GraphQL server now, let's do it!

Edit Me on GitHub!