https://github.com/derlin/docker-wed

docker container with glassfish to run the sample wedding-site app
https://github.com/derlin/docker-wed

Last synced: 12 months ago
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docker container with glassfish to run the sample wedding-site app

• Host: GitHub
• URL: https://github.com/derlin/docker-wed
• Owner: derlin
• Created: 2015-02-07T21:32:56.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2015-02-08T15:28:22.000Z (over 11 years ago)
• Last Synced: 2025-01-20T10:31:08.313Z (over 1 year ago)
• Language: Shell
• Size: 133 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: change_admin_pass.expect

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README

          
### Mini-projet de Systèmes d'informations (3e année, janvier 2015)

Le container inclut un Glassfish faisant tourner un war (WeddingSiteApp.war). 

Le site comprend:

- single site avec Angularjs pour faire des cadeaux de mariage et laisser un commentaire dans le guest book 

- single admin page pour gérer les cadeaux

Le tout avec un service REST et JPA côté serveur.

### Pour utiliser le container

Lancer le container:

    

    docker run  \

         -v path/to/war/folder:/opt/oracle/glassfish4/glassfish/domains/domain1/autodeploy/  \

         -v path/to/datasources:/opt/oracle/glassfish4/glassfish/databases/ \

        -p 8080:8080 -p 1527:1527 -p 4848:4848 \

         derlin/wed-live:latest

Ajouter __-d__ pour le lancer en daemon.

Pour ensuite ouvrir un shell:

    docker ps

    docker exec -ti  bash

### pour l'autodeploy avec netbeans

In `project.properties` file must add a reference for your end folder:

    

    war.custom.dir=/path/to/war/folder/

Then, in your `build.xml` file should add this chunk of code: 

     

         

         

    

Note: don't use the default dist folder, since it is removed/recreated on each build !

### using a data-container for the databases

__Create the container__

First, create and run a data only container. For this, either use a Dockerfile or simply use a run command.

With a dockerfile:

    # Dockerfile

    FROM busybox

    VOLUME /opt/oracle/glassfish4/glassfish/databases/

    CMD /bin/sh

and then:

    docker build -t user/db_store .

With a run command:

    docker run -ti -v /opt/oracle/glassfish4/glassfish/databases --name db_store busybox /bin/sh

__Use the container__

Build the wed-live image, commit, and relaunch it with:

    docker run \     

        --volumes-from db_store \

        -p 8080:8080 -p 1527:1527 -p 4848:4848 \

        derlin/test

__Backup and restore databases__

Backup:

    docker run --volumes-from db_store -v $(pwd):/backup busybox \

        cd /opt/oracle/glassfish4/glassfish/databases && tar czvf /backup/backup.tar.gz .

Restore it in a new container:

    docker run -ti -v /opt/oracle/glassfish4/glassfish/databases --name db_store2 busybox /bin/sh

    docker run --volumes-from db_store2 -v $(pwd):/backup busybox \

        cd /opt/oracle/glassfish4/glassfish/databases && tar xzvf /backup/backup.tar.gz 

    

Some really nice articles about docker volumes are available here: 

* https://docs.docker.com/userguide/dockervolumes/

* http://www.tech-d.net/2013/12/16/persistent-volumes-with-docker-container-as-volume-pattern/

* http://crosbymichael.com/advanced-docker-volumes.html