Operations 13 min read

Deploy the Mall Project on Linux with Just Two Docker‑Compose Scripts

This guide walks you through deploying the Mall e‑commerce application on a CentOS 7.6 server using Docker and two docker‑compose files, covering environment setup, required images, configuration of MySQL, Redis, Elasticsearch, RabbitMQ, Nginx, and the Mall services, plus firewall adjustments.

macrozheng

Jun 25, 2019

Deploy the Mall Project on Linux with Just Two Docker‑Compose Scripts

The simplest way to deploy the Mall project on Linux is to use two docker‑compose scripts: one for the dependent services (MySQL, Redis, Nginx, RabbitMQ, Elasticsearch, Kibana, Mongo) and another for the Mall applications (mall‑admin, mall‑search, mall‑portal).

Docker environment setup and usage

Refer to the "Essential Docker Commands for Developers" article for details.

Docker‑compose environment setup and usage

Refer to the "Deploy SpringBoot applications with Docker‑Compose" article for details.

Mall project docker‑compose deployment

Runtime configuration requirements

CentOS 7.6, recommended 4 GB RAM or more.

Deployment files

Database script mall.sql

Nginx configuration nginx.conf

docker-compose‑env.yml

docker-compose‑app.yml

Pre‑deployment preparation

Package and upload Mall application images

Build Docker images for mall‑admin, mall‑search, and mall‑portal. See the "Build Docker images for SpringBoot applications with Maven plugin" article.

Download required Docker images

docker pull mysql:5.7
docker pull redis:3.2
docker pull nginx:1.10
docker pull rabbitmq:3.7.15
docker pull elasticsearch:6.4.0
docker pull kibana:6.4.0
docker pull mongo:3.2

Elasticsearch kernel parameters

# Change settings
sysctl -w vm.max_map_count=262144
# Apply immediately
sysctl -p

Create /mydata/elasticsearch/data directory and set permissions.

# Create directory
mkdir -p /mydata/elasticsearch/data
# Set permissions
chmod 777 /mydata/elasticsearch/data

Nginx configuration

Copy the nginx.conf file to the host directory before mounting.

# Create directory and upload nginx.conf
mkdir -p /mydata/nginx

Execute docker-compose‑env.yml

Upload the file to the Linux server and run docker‑compose up to start all dependent services.

version: '3'
services:
  mysql:
    image: mysql:5.7
    container_name: mysql
    command: mysqld --character-set-server=utf8mb4 --collation-server=utf8mb4_unicode_ci
    restart: always
    environment:
      MYSQL_ROOT_PASSWORD: root
    ports:
      - 3306:3306
    volumes:
      - /mydata/mysql/data:/var/lib/mysql
      - /mydata/mysql/conf:/etc/mysql/conf.d
      - /mydata/mysql/log:/var/log/mysql
  redis:
    image: redis:3.2
    container_name: redis
    command: redis-server --appendonly yes
    volumes:
      - /mydata/redis/data:/data
    ports:
      - 6379:6379
  nginx:
    image: nginx:1.10
    container_name: nginx
    volumes:
      - /mydata/nginx/nginx.conf:/etc/nginx/nginx.conf
      - /mydata/nginx/html:/usr/share/nginx/html
      - /mydata/nginx/log:/var/log/nginx
    ports:
      - 80:80
  rabbitmq:
    image: rabbitmq:3.7.15-management
    container_name: rabbitmq
    volumes:
      - /mydata/rabbitmq/data:/var/lib/rabbitmq
      - /mydata/rabbitmq/log:/var/log/rabbitmq
    ports:
      - 5672:5672
      - 15672:15672
  elasticsearch:
    image: elasticsearch:6.4.0
    container_name: elasticsearch
    environment:
      - "cluster.name=elasticsearch"
      - "discovery.type=single-node"
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    volumes:
      - /mydata/elasticsearch/plugins:/usr/share/elasticsearch/plugins
      - /mydata/elasticsearch/data:/usr/share/elasticsearch/data
    ports:
      - 9200:9200
  kibana:
    image: kibana:6.4.0
    container_name: kibana
    links:
      - elasticsearch:es
    depends_on:
      - elasticsearch
    environment:
      - "elasticsearch.hosts=http://es:9200"
    ports:
      - 5601:5601
  mongo:
    image: mongo:3.2
    container_name: mongo
    volumes:
      - /mydata/mongo/db:/data/db
    ports:
      - 27017:27017

Run the composition:

docker-compose -f docker-compose-env.yml up -d

Configure dependent services

After all services start, perform the following configurations.

MySQL

Create the mall database and a remote user reader .

Copy mall.sql into the MySQL container: docker cp /mydata/mall.sql mysql:/ Enter the container and execute:

# Enter container
docker exec -it mysql /bin/bash
# Connect to MySQL
mysql -uroot -proot --default-character-set=utf8
# Create remote user
GRANT ALL PRIVILEGES ON *.* TO 'reader'@'%' IDENTIFIED BY '123456';
# Create database
CREATE DATABASE mall CHARACTER SET utf8;
USE mall;
# Import schema
SOURCE /mall.sql;

Elasticsearch

Install the Chinese analyzer IKAnalyzer and restart.

# Enter container
docker exec -it elasticsearch /bin/bash
# Install plugin
elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v6.4.0/elasticsearch-analysis-ik-6.4.0.zip
# Restart
docker restart elasticsearch

RabbitMQ

Create a mall user with a virtual host /mall .

Access the management UI at http://192.168.3.101:15672/ (login: guest/guest).

Create user mall with password mall and assign the administrator role.

Create virtual host /mall and grant the user permissions.

Execute docker-compose‑app.yml

Upload the file to the server and run docker‑compose up to start all Mall applications.

version: '3'
services:
  mall-admin:
    image: mall/mall-admin:1.0-SNAPSHOT
    container_name: mall-admin
    ports:
      - 8080:8080
    external_links:
      - mysql:db
  mall-search:
    image: mall/mall-search:1.0-SNAPSHOT
    container_name: mall-search
    ports:
      - 8081:8081
    external_links:
      - elasticsearch:es
      - mysql:db
  mall-portal:
    image: mall/mall-portal:1.0-SNAPSHOT
    container_name: mall-portal
    ports:
      - 8085:8085
    external_links:
      - redis:redis
      - mongo:mongo
      - mysql:db
      - rabbitmq:rabbit