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Posted to issues@spark.apache.org by "Marcelo Vanzin (JIRA)" <ji...@apache.org> on 2018/12/06 18:11:00 UTC
[jira] [Resolved] (SPARK-26296) Base Spark over Java and not over
Scala, offering Scala as an option over Spark
[ https://issues.apache.org/jira/browse/SPARK-26296?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Marcelo Vanzin resolved SPARK-26296.
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Resolution: Won't Fix
Lack of newer JDK support is not only the fault of Scala. There's a lot of Java code that doesn't work on the new JDK either.
> Base Spark over Java and not over Scala, offering Scala as an option over Spark
> -------------------------------------------------------------------------------
>
> Key: SPARK-26296
> URL: https://issues.apache.org/jira/browse/SPARK-26296
> Project: Spark
> Issue Type: Wish
> Components: Spark Core
> Affects Versions: 2.4.0
> Reporter: M. Le Bihan
> Priority: Minor
>
> I am not using _Scala_ when I am programming _Spark_ but plain _Java_. I believe those using _PySpark_ no more.
>
> But _Spark_ has been build over _Scala_ instead of plain _Java_ and this is a cause of troubles, especially at the time of upgrading the JDK. We are awaiting to use JDK 11 and [Scala is still lowering Spark in the previous version of the JDK|https://docs.scala-lang.org/overviews/jdk-compatibility/overview.html].
> _Big Data_ programming shall not force developpers to get by with _Scala_ when its not the language they have choosen.
>
> Having a _Spark_ without _Scala_, like it is possible to have a _Spark_ without _Hadoop,_ would confort me : a cause of issues would disappear.
> Provide an optional _spark-scala_ artifact would be fine as those who do not need it wouldn't download it and wouldn't be affected by it.
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