Almog Tavor created SPARK-40939:
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Summary: Release a shaded version of Apache Spark / shade jars on
main jar
Key: SPARK-40939
URL: https://issues.apache.org/jira/browse/SPARK-40939
Project: Spark
Issue Type: Improvement
Components: Deploy
Affects Versions: 3.4.0
Reporter: Almog Tavor
I suggest shading in Apache Spark, to resolve the dependency hell that may
occur when building / deploying Apache Spark. This mainly occurs on Java
projects and on Hadoop environments, but shading will help for using Spark with
Scala & even Python either.
Flink has a similar solution, delivering
[flink-shaded|https://github.com/apache/flink-shaded/blob/master/README.md].
The dependencies I think that are relevant for shading are Jackson, Guava,
Netty & any of the Hadoop ecosystems if possible.
As for releasing sources for the shaded version, I think the [issue that has
been raised in Flink|https://github.com/apache/flink-shaded/issues/25] is
relevant and unanswered here too, hence I don't think that's an option
currently (personally I don't see any value for it either).
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