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Blaze

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A FHIR® Store with internal, fast CQL Evaluation Engine

Goal

The goal of this project is to provide a FHIR® Store with an internal CQL Evaluation Engine which is able to answer population wide aggregate queries in a timely manner to enable interactive, online queries.

State

The project is currently under active development. Essentially all official CQL Tests pass. Please report any issues you encounter during evaluation.

Latest release: v0.7.0-alpha.9

Quick Start

In order to run Blaze with an in-memory, volatile database, just execute the following:

Docker

docker run -p 8080:8080 liferesearch/blaze:0.7.0-alpha.9

Java

wget https://github.com/life-research/blaze/releases/download/v0.7.0-alpha.9/blaze-0.7.0-alpha.9-standalone.jar
java -jar blaze-0.7.0-alpha.9-standalone.jar

Logging output should appear which prints the most important settings and system parameters like Java version and available memory.

In order to test connectivity, query the health endpoint:

curl http://localhost:8080/health

Deployment

In-deep deployment options of Blaze are described in the Deployment Section of the Blaze documentation.

License

Copyright © 2019 LIFE Research Center (Alexander Kiel)

Distributed under the Eclipse Public License either version 1.0 or (at your option) any later version.