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Spark-Allegrograph

Description

This project outputs a single fat jar that may be submitted via spark-submit command or uploaded to spark job-server. All jobs implement job-server interface and the configuration layer is unified. A job may be configured via cli params (spark-submit) or input HOCON/json configuration file (job-server) In HOCON file always use the long parameter names. CLI params may be short.

Building

In order to build the target jar a single time action is required - running an ant task that imports custom dependencies into local maven repository:

# ant

If the maven repository is synced then

# mvn package

should build the target jar located in target/ directory: agraph-spark-demo-0.0.1-SNAPSHOT.jar

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Allegrograph and Spark Machine Learning Demo

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  • Scala 49.7%
  • Java 41.5%
  • Groovy 5.8%
  • Web Ontology Language 3.0%