https://codefresh.io/docs/docs/learn-by-example/nodejs/react/
React example with Yarn
Create Docker images for React applications
Codefresh can work with React projects as with any Node.js project.
You can see the example project at https://github.com/codefresh-contrib/react-sample-app. The repository contains a React starter project with the following tasks:
yarn test
runs unit tests.yarn start
to start the application locally.yarn build
to create a production deployment.
Once launched the application presents a simple page at localhost:3000.
The easiest way to build a React.JS application is with multi-stage builds. With multi-stage builds a Docker build can use one base image for packaging/unit tests and a different one that will hold the runtime of the application. This makes the final image more secure and smaller in size (as it does not contain any development/debugging tools).
In the case of React, you can use a base image that has Node and all testing utilities, while the final image has your server (e.g. nginx) with the static content and nothing else.
The example project is actually using multi-stage builds by default.
Here is the multi-stage Dockerfile:
Dockerfile
This docker build does the following:
- Starts from the Node/Yarn image
- Copies the dependencies inside the container
- Copies the source code and creates all static files
- Discards the Node.js image with all the JavaScript libraries
- Starts again from the nginx image and copies static build result created before
The resulting is very small, as it contains only packaged/minified files.
Creating a CI/CD pipeline for React is very easy, because Codefresh can run any node image that you wish.
Here is the full pipeline that creates the Docker image after checking out the code.
codefresh.yml
This pipeline clones the source code, runs unit tests and finally creates a Docker image. Codefresh is automatically caching Docker layers (it uses the Docker image of a previous build as a cache for the next) and therefore builds will become much faster after the first one finishes.
If your application is not dockerized yet, you can still create a pipeline that runs any command that you would run locally. You can also choose which Node version is used for each step of the pipeline by defining a different docker image for each step.
Here is the full pipeline that creates a production deployment of all files.
codefresh.yml
Notice that for demonstration purposes we uses node 11 for the tests, and node 8 for the packaging. Normally you should use the same version of node/Yarn for all your steps, but Codefresh pipelines are flexible on version of tools.
Even when you don’t create a Docker image, Codefresh still caches your workspace volume. This means that node_modules
are downloaded only once. All subsequent builds will be much faster.
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