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https://issues.apache.org/jira/browse/SPARK-54150?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Norbert Schultz updated SPARK-54150:
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Description:
Apache Spark should support Scala 3.x, together with Scala 2.13.x.
Scala 3.x. is now mature enough for using it in larger applications. Due to its
better Macro, Tuple and generativ Support its very well suited to describe data
processing applications. E.g. it's much easier to derive Database interfaces
from case classes. Also it is in active development and has LTS releases (3.3.x
at the moment)
Altough Scala 2.13.x code can be called from Scala 3, the use of old fashioned
Macros and transitive depedencies make it easier to use.
was:
Apache Spark should support Scala 3.x, together with Scala 2.13.x.
Scala 3.x. is now mature enough for using it in larger applications. Due to its
better Macro, Tuple and generativ Support its very well suited to describe data
processing applications. E.g. it's much easier to derive Database interfaces
from case classes.
Altough Scala 2.13.x code can be called from Scala 3, the use of old fashioned
Macros and transitive depedencies make it easier to use.
> Support Scala 3.x
> ------------------
>
> Key: SPARK-54150
> URL: https://issues.apache.org/jira/browse/SPARK-54150
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core, SQL
> Affects Versions: 4.1.0
> Reporter: Norbert Schultz
> Priority: Major
>
> Apache Spark should support Scala 3.x, together with Scala 2.13.x.
> Scala 3.x. is now mature enough for using it in larger applications. Due to
> its better Macro, Tuple and generativ Support its very well suited to
> describe data processing applications. E.g. it's much easier to derive
> Database interfaces from case classes. Also it is in active development and
> has LTS releases (3.3.x at the moment)
> Altough Scala 2.13.x code can be called from Scala 3, the use of old
> fashioned Macros and transitive depedencies make it easier to use.
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