This article teaches you how to deploy common applications using Docker, consolidate your Docker command learning, the next article teaches you how to build our own Docker image.

　　

Tomcat

　　

Pull the mirror image.

docker pull tomcat
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Create the container.

docker run -di --name tomcat -p 8080:8080 tomcat
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Enter the container.

docker exec -it tomcat /bin/bash
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Check to see if there is a ROOT project in the Webapps directory. The familiar Tomcat cat page is usually in this project.

As shown in the above, the directory is empty, actually Tomcat will default in a new edition of the ROOT project was put into the webapps. Dist, if you really want to visit http://192.168.10.10:8080/ to see the Tomcat cat, Copy it to webapps.

Visit: http://192.168.10.10:8080/ to see familiar faces.

　　

Nginx

　　

Pull the mirror image.

docker pull nginx
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Create an Nginx container.

docker run -di --name nginx -p 80:80 nginx
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Copy the configuration file in the container to the specified directory (please create the directory in advance).

#Create a directory
mkdir -p /mydata/docker_nginx
#Copy the configuration file in the container to the specified directory
docker cp nginx:/etc/nginx /mydata/docker_nginx/
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Rename host /mydata/docker_nginx/nginx to /mydata/docker_nginx/conf

mv /mydata/docker_nginx/nginx/ /mydata/docker_nginx/conf
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Terminates and deletes the container (the directory mount operation can only be set when the container is created).

docker stop nginx
docker rm nginx
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Create an Nginx container and mount the /etc/nginx directory and the /mydata/docker_nginx/conf directory on the host.

docker run -di --name nginx -p 80:80 -v /mydata/docker_nginx/conf:/etc/nginx nginx
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Visit the host: http://192.168.10.10:80/ The result is as follows:

　　

MySQL

　　

Pull the mirror image.

Docker pull mysql: 8.0.21Copy the code

Create the container.

docker run -di --name mysql8 -p 3306:3306 -v /mydata/docker_mysql/conf:/etc/mysql/conf.d -v / mydata docker_mysql/data: / var/lib/mysql - e MYSQL_ROOT_PASSWORD = 1234 mysql: 8.0.21Copy the code
  • -p: indicates port mapping in the format of host mapping port: container running port.
  • -e: adds environment variablesMYSQL_ROOT_PASSWORDIs the login password of user root.

To connect to MySQL in the container, you only need to connect to the IP address of the host + the specified mapping port.

You can also enter the container and open the client using the MySQL command.

#Into the container
docker exec -it mysql8 /bin/bash
#Use the MySQL command to open the client
mysql -uroot -p1234 --default-character-set=utf8
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Redis

　　

Pull the mirror image.

docker pull redis
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Create the container.

docker run -di --name redis -p 6379:6379 redis
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To connect to Redis in the container, you only need to connect to the IP address of the host + the specified mapping port.

　　

MongoDB

　　

Pull the mirror image.

docker pull mongo
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Create the container.

docker run -di --name mongo -p 27017:27017 mongo
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To connect to MongoDB in a container, you only need to connect to the IP address of the host + the specified mapping port.

　　

Elasticsearch

　　

Pull the mirror image.

Docker pull elasticsearch: 7.8.1Copy the code

Create a container and, for demonstration purposes, change the size of ES startup memory.

docker run -e ES_JAVA_OPTS="-Xms256m -Xmx512m" -e "discovery.type=single-node" -di --name es -p 9200:9200 -p 9300:9300 5601-5601 - p - v/mydata/docker_es/plugins: / usr/share/elasticsearch/plugins elasticsearch: 7.8.1Copy the code

Install Chinese word segmentation.

#Into the container
docker exec -it es /bin/bash
#Install Chinese word segmentation
elasticsearch-plugin install https://github.com/medcl/elasticsearch-analysis-ik/releases/download/v7.8.1/elasticsearch-analysis-ik-7.8.1.zip
#Restart the es
docker restart es
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Visit: http://192.168.10.10:9200/ the results are as follows:

　　

Install the head plugin

　　

Pull the mirror image.

docker pull mobz/elasticsearch-head:5
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Create the container.

docker run -di --name es-head -p 9100:9100 mobz/elasticsearch-head:5
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Open the ElasticSearch -head page in your browser and fill in the elasticSearch address.

Elasticsearch: elasticSearch: elasticSearch. Yml: elasticSearch: elasticSearch: elasticSearch.

#Into the containerDocker exec -it Container ID or name /bin/bash#Modifying a Configuration File
vi config/elasticsearch.yml
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Add the following to elasticSearch.yml.

#Cross-domain request configuration (so that third-party plug-ins like HEAD can request ES)
http.cors.enabled: true
http.cors.allow-origin: "*"
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Restart the container.

docker restart es
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Solr

　　

Pull the mirror image.

docker pull solr
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Create the container.

docker run -di --name=solr -p 8983:8983 solr
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Visit: http://192.168.10.10:8983/solr/#/ the results are as follows:

　　

RabbitMQ

　　

Pull the mirror image.

docker pull rabbitmq
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Create the container.

docker run -di --name rabbitmq -p 4369:4369 -p 5671:5671 -p 5672:5672 -p 15671:15671 -p 15672:15672 -p 25672:25672 rabbitmq
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Enter the container and enable the management function.

#Into the container
docker exec -it rabbitmq /bin/bash
#Enable the RabbitMQ management function
rabbitmq-plugins enable rabbitmq_management
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Visit: http://192.168.10.10:15672/ use guest login account password, and the results are as follows:

That’s the end of the application deployment exercise, and now it’s time to learn how to build our own Docker image.

This article is licensed under a Creative Commons attribution – Noncommercial – No Deductive 4.0 International license.

You can check out more Docker articles in the category below.

　　

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