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feat(pace-172): update docs with runtimes and upload artifacts to releases #208
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# Running PACE dbt module in a container | ||
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The requirements for running PACE dbt module inside a container are: | ||
* JVM Runtime (Java 17 or later) | ||
* The PACE dbt module jar file (can be retrieved from the PACE releases on GitHub) | ||
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An example of what a Dockerfile could look like is shown below: | ||
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```Dockerfile | ||
FROM eclipse-temurin:21-jre-jammy as jvm | ||
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FROM python:slim | ||
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RUN mkdir /app | ||
WORKDIR /app | ||
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# Copy the JVM runtime | ||
COPY --from=jvm /opt/java/openjdk /opt/java/openjdk | ||
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# Set the environment variables and add the JVM to the PATH | ||
ENV JAVA_HOME=/opt/java/openjdk | ||
ENV PATH="${JAVA_HOME}/bin:${PATH}" | ||
``` |
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# Runtimes | ||
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PACE supports the following runtimes: | ||
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* Spring Boot application | ||
A continuous running application that is connected to your Data Catalog and Processing Platform. | ||
This is meant to be instructed through the API to perform specific actions, such as create a view | ||
based on a Data Policy. | ||
* Standalone dbt module | ||
A module that includes the same core functionality that the Spring Boot application offers, but is | ||
meant to be short-lived, within the scope of its task. It is used to extend a dbt project, in | ||
order read the `manifest.json` and create Data Policies based on the models in the dbt project. |
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