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96 lines
3.4 KiB
Markdown
96 lines
3.4 KiB
Markdown
# Docker Compose files
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***
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:warning: **THESE IMAGES ARE NOT PRODUCTION READY** The below Docker Compose images/resources were built for development/testing only. Therefore, they may not be fully secured or up-to-date, and should not be used in production.
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If you wish to run DSpace on Docker in production, we recommend building your own Docker images. You are welcome to borrow ideas/concepts from the below images in doing so. But, the below images should not be used "as is" in any production scenario.
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***
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## 'Dockerfile' in root directory
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This Dockerfile is used to build a *development* DSpace 7 Angular UI image, published as 'dspace/dspace-angular'
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```
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docker build -t dspace/dspace-angular:dspace-7_x .
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```
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This image is built *automatically* after each commit is made to the `main` branch.
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Admins to our DockerHub repo can manually publish with the following command.
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```
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docker push dspace/dspace-angular:dspace-7_x
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```
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## docker directory
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- docker-compose.yml
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- Starts DSpace Angular with Docker Compose from the current branch. This file assumes that a DSpace 7 REST instance will also be started in Docker.
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- docker-compose-rest.yml
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- Runs a published instance of the DSpace 7 REST API - persists data in Docker volumes
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- docker-compose-ci.yml
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- Runs a published instance of the DSpace 7 REST API for CI testing. The database is re-populated from a SQL dump on each startup.
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- cli.yml
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- Docker compose file that provides a DSpace CLI container to work with a running DSpace REST container.
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- cli.assetstore.yml
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- Docker compose file that will download and install data into a DSpace REST assetstore. This script points to a default dataset that will be utilized for CI testing.
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## To refresh / pull DSpace images from Dockerhub
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```
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docker-compose -f docker/docker-compose.yml pull
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```
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## To build DSpace images using code in your branch
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```
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docker-compose -f docker/docker-compose.yml build
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```
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## To start DSpace (REST and Angular) from your branch
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```
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docker-compose -p d7 -f docker/docker-compose.yml -f docker/docker-compose-rest.yml up -d
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```
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## Run DSpace REST and DSpace Angular from local branches.
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_The system will be started in 2 steps. Each step shares the same docker network._
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From DSpace/DSpace (build as needed)
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```
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docker-compose -p d7 up -d
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```
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From DSpace/DSpace-angular
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```
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docker-compose -p d7 -f docker/docker-compose.yml up -d
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```
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## Ingest test data from AIPDIR
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Create an administrator
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```
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docker-compose -p d7 -f docker/cli.yml run --rm dspace-cli create-administrator -e test@test.edu -f admin -l user -p admin -c en
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```
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Load content from AIP files
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```
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docker-compose -p d7 -f docker/cli.yml -f ./docker/cli.ingest.yml run --rm dspace-cli
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```
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## Alternative Ingest - Use Entities dataset
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_Delete your docker volumes or use a unique project (-p) name_
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Start DSpace with Database Content from a database dump
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```
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docker-compose -p d7 -f docker/docker-compose.yml -f docker/docker-compose-rest.yml -f docker/db.entities.yml up -d
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```
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Load assetstore content and trigger a re-index of the repository
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```
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docker-compose -p d7 -f docker/cli.yml -f docker/cli.assetstore.yml run --rm dspace-cli
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```
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## End to end testing of the rest api (runs in travis).
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_In this instance, only the REST api runs in Docker using the Entities dataset. Travis will perform CI testing of Angular using Node to drive the tests._
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```
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docker-compose -p d7ci -f docker/docker-compose-travis.yml up -d
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```
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