# Node.js & Docker ## docker vs host ```js var http = require('http'); http.createServer(function (req, res) { res.writeHead(200, {'Content-Type': 'text/plain'}); res.end('Hello World\n'); }).listen(1337); console.log('Server running at http://0.0.0.0:1337/'); ``` For the performance issue that we concern most, we did a comparative testing on `docker` vs `host` node based on `node-v4.2.3`. The conclusion is that the performance loss is between 1%\~4%, depending on network and business code factors. The data is as follows: * External network environment ```shell docker node root@ubuntu-512mb-nyc3-01:~/wrk# ./wrk http://192.241.209.*:1337 Running 10s test @ http://192.241.209.*:1337 2 threads and 10 connections Thread Stats Avg Stdev Max +/- Stdev Latency 76.01ms 1.24ms 88.79ms 83.68% Req/Sec 65.51 16.12 101.00 76.77% 1305 requests in 10.04s, 198.81KB read Requests/sec: 129.99 Transfer/sec: 19.80KB host node root@ubuntu-512mb-nyc3-01:~/wrk# ./wrk http://192.241.209.*:1337 Running 10s test @ http://192.241.209.*:1337 2 threads and 10 connections Thread Stats Avg Stdev Max +/- Stdev Latency 75.85ms 1.87ms 87.10ms 61.29% Req/Sec 65.66 12.35 101.00 57.07% 1307 requests in 10.03s, 199.11KB read Requests/sec: 130.27 Transfer/sec: 19.85KB ``` * Internal network environment ````shell ** host node** [root@centos7-x64 statusbar]# wrk http://localhost:1337 Running 10s test @ http://localhost:1337 2 threads and 10 connections Thread Stats Avg Stdev Max +/- Stdev Latency 1.51ms 1.34ms 39.81ms 98.03% Req/Sec 3.46k 821.79 4.29k 76.50% 68971 requests in 10.05s, 10.26MB read Requests/sec: 6862.84 Transfer/sec: 1.02MB docker node `--net=host` mode [root@centos7-x64 ~]# wrk http://localhost:1337 Running 10s test @ http://127.0.0.1:1337 2 threads and 10 connections Thread Stats Avg Stdev Max +/- Stdev Latency 1.49ms 287.14us 3.81ms 92.99% Req/Sec 3.30k 424.64 3.60k 91.00% 65866 requests in 10.03s, 9.80MB read Requests/sec: 6564.82 Transfer/sec: 0.98MB Overall, for regular web applications, the performance loss is relatively small when connecting to external networks, but it greatly facilitates our development and operation. ### Deploying Applications > What is MEAN architecture? > MEAN stands for Mongodb / ExpressJS / AngularJS /NodeJS, which is a combination of popular website application development frameworks that covers frontend to backend. Since these frameworks uses Javascript as the language, it is also commonly referred to as Javascript Fullstack. In this example, we will attempt to deploy a NodeJS application with MEAN architecture. ```shell Directory Structure ├── docker-node-full/ │ ├── start.sh │ ├── Dockerfile ```` ## Installing Docker For Ubuntu system, use apt to install: ```sh $ sudo apt-get install -y docker-engine ``` ## Creation steps * Create folder ```shell mkdir ~/docker-node-full && cd $_ ``` * Create Dockerfile configuration file ```shell # Set the base image FROM ubuntu:14.10 # Install NodeJS and npm RUN apt-get install -y nodejs npm # Because the node under apt-get is actually nodejs, create a shortcut for node RUN ln -s /usr/bin/nodejs /usr/bin/node # Install Git RUN apt-get install -y git # Install Mongodb (from official tutorial) RUN apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv 7F0CEB10 RUN echo 'deb http://downloads-distro.mongodb.org/repo/ubuntu-upstart dist 10gen' | tee /etc/apt/sources.list.d/mongodb.list RUN apt-get update RUN apt-get install -y mongodb-org # Set working directory WORKDIR /srv/full # Clean up existing files (if any) RUN rm -rf /srv/full # Download the MEAN architecture website code prepared through Git RUN git clone https://github.com/chuyik/fullstack-demo-dist.git . # Install NodeJS dependencies RUN npm install --production # Create mongodb data folder RUN mkdir -p /data/db # Expose ports (for NodeJS application and Mongodb respectively) EXPOSE 5566 27017 # Set NodeJS application environment variables ENV NODE_ENV=production PORT=5566 # Add startup script ADD start.sh /tmp/ RUN chmod +x /tmp/start.sh # Set default startup command CMD ["bash", "/tmp/start.sh"] ``` * Create start.sh startup script ```shell # Start Mongodb in the background mongod --fork --logpath=/var/log/mongo.log --logappend # Run NodeJS application npm start ``` ### Build Image ```shell # Use this command to build a mirror based on the information configured in Dockerfile docker build --rm -t node-full . # Check if the mirror was created successfully docker images ``` ### Run Image ```shell # Run the image just created # -p Set port in the format of "host port:container port" docker run -p 5566:5566 node-full ``` ### Access the application You can access with a browser or run curl -s . ## Save Mongodb Data Files Since the Mongodb service runs in the Docker container, the data is also inside, but it is not conducive to data management and preservation. Therefore, we can use some methods to save Mongodb data files outside the container. ### Disk Mapping This is the easiest way, and there is a parameter for disk mapping -v in the docker run command. ```shell # -v Disk mapping, in the format of "host directory:container directory" docker run -p 5566:5566 -v /var/mongodata:/data/db node-full ``` However, this command fails on Mac and Windows because the boot2docker virtual machine does not support it. Therefore, you can save the data inside boot2docker and set up a shared folder for Mac or Windows to access. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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