[jira] [Created] (SPARK-40939) Release a shaded version of Apache Spark / shade jars on main jar

["Almog Tavor (Jira)" <ji...@apache.org>]

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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