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vruusmann avatar vruusmann commented on July 18, 2024

That's a class loading conflict.

Namely, if you load the JPMML-Evaluator library in "standalone mode", then it will look up the latest and greatest version of the JPMML-Model library. However, if you load it inside Apache Spark, then it will be forcibly paired with a legacy version of the JPMML-Model library (included in Apache Spark distribution for MLlib PMML export needs), which fails to meet several expectations (eg. doesn't know about the org.dmg.pmml.Indexable interface).

Next to the JPMML-Model library, there's a similar class loading conflict (waiting just around the corner) in relation to the Google Guava library.

To overcome this problem, you should use the "package relocation" mechanism of the Apache Maven Shade plugin. Please see the POM file of the pmml-spark-example module of the JPMML-Spark project: https://github.com/jpmml/jpmml-spark/blob/master/pmml-spark-example/pom.xml

from jpmml-evaluator.

acrisci avatar acrisci commented on July 18, 2024

Thanks. Using the package relocations like in that project fixed the issue 👍.

from jpmml-evaluator.

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