TDATA/ckan-DEPLOY

Deploy TDATA with docker on production

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Objectives

• Develop a distribution for TDATA CKAN portal

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Funding Information

This research project is supported by:

• Funding organization/institution: Conselleria de Educación, Universidades y Empleo de la Generalitat Valenciana
• Program or grant: Subvenciones a grupos de investigación consolidados
• Project code/reference: CIAICO/2022/019
• Duration: [01/01/2023 – 31/12/2025]

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Technology

• Python
• Docker
• CKAN

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Installation and Usage

Install

• Docker: https://docs.docker.com/get-docker/

Configure

Inside prod folder we can configure environment variables and other services options.

Run

Download and build the corresponding images

git clone https://github.com/docpad/dockerfile.git

cd prod

docker-compose up -d

Create user

Create an user to start uploading data. docker exec -it ckan /usr/local/bin/ckan -c /etc/ckan/production.ini sysadmin add newuser Log in the web and generate an

Services

Service	Port	Description
CKAN	5000	CKAN with standard extensions
solr		A pre-built SolR image set up for CKAN.
postgres		CKAN’s database, later also running CKAN’s datastore database
redis		A pre-built Redis image
datapusher	8800	A pre-built CKAN Datapusher image

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Authors / Contributors

• Alberto Berenguer Pastor – @aberenguerpas

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License

This project is distributed under the MIT License

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💬 Contact

For questions, collaborations, or further information:

📧 [email protected]
🌐 Wake Research group