Add parameters to Spark candidates

[hammer]

Some pre-built Spark releases are built with support for different versions of Scala and/or Hadoop.

For example, there are 4 different Spark 2.4.4 pre-built releases:

File name	Scala	Hadoop
spark-2.4.4-bin-without-hadoop.tgz	2.11	None
spark-2.4.4-bin-hadoop2.6.tgz	2.11	2.6
spark-2.4.4-bin-hadoop2.7.tgz	2.11	2.7+
spark-2.4.4-bin-without-hadoop-scala-2.12.tgz	2.12	None

It would be nice if sdkman knew about these options.

[marc0der]

This could be handled in a simple way by using the version string. The max length is 15 so we could try using that. In other words something like 2.4.4_2.11_2.6.

Sdkman is completely agnostic of the candidates it serves (except in the case of Java), and I really don't want to hack the core for candidate specific exceptions.

[chloe41427]

Closing this long-dormant issue. The Spark distribution model has changed significantly since 2020 — Spark now ships a single binary without bundled Hadoop for most use cases. If there's a specific current version combination you need, please open a fresh issue with up-to-date details.