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Architecture Diagram
DES Architecture
- Data Extraction Service exposes the data in Big Data DBs to outside via REST API
- Each data exposure is defined via a set of configurations, which contains URL, from which DB to retrieve the data, query sql template, etc
Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Presto was designed and written from the ground up for interactive analytics and approaches the speed of commercial data warehouses while scaling to the size of organizations like Facebook.
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Deployment Steps
0. If mariadb-galera has installed, skip this step, follow the way to install maridb below:
helm install local/mariadb-galera --namespace onap --name dev-mariadb-galera --set global.pullPolicy=IfNotPresent --set global.masterPassword=onap
- Intall mongodb service for testing:docker run -itd --restart=always --name dl-mongo -p 27017:27017 mongo
- Build presto image and push the images to a exsting repository:
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Note： Replace the repository path with your own repository.
4 3. Install presto service:
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Note： MonoDB_IP and Mongo_PORT you can replace this two values with your own configuration.
5 4. Check presto service:
6 5. Like other services in DCAE, des also can be easily deployed through DCAE cloudify manager. The following steps guides you launch des though cloudify manager.
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