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https://issues.apache.org/jira/browse/SPARK-25737?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-25737:
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Assignee: Apache Spark (was: Sean Owen)
> Remove JavaSparkContextVarargsWorkaround and standardize union() methods
> ------------------------------------------------------------------------
>
> Key: SPARK-25737
> URL: https://issues.apache.org/jira/browse/SPARK-25737
> Project: Spark
> Issue Type: Task
> Components: Spark Core
> Affects Versions: 3.0.0
> Reporter: Sean Owen
> Assignee: Apache Spark
> Priority: Minor
>
> In ancient times in 2013, JavaSparkContext got a superclass
> JavaSparkContextVarargsWorkaround to deal with some Scala 2.7 issue:
> [http://www.scala-archive.org/Workaround-for-implementing-java-varargs-in-2-7-2-final-td1944767.html#a1944772]
> I believe this was really resolved by the {{@varags}} annotation in Scala
> 2.9.
> I believe we can now remove this workaround. Along the way, I think we can
> also avoid the duplicated definitions of {{union()}}. Where we should be able
> to just have one varargs method, we have up to 3 forms:
> - {{union(RDD, Seq/List)}}
> - {{union(RDD*)}}
> - {{union(RDD, RDD*)}}
> While this pattern is sometimes used to avoid type collision due to erasure,
> I don't think it applies here.
> After cleaning it, we'll have 1 SparkContext and 3 JavaSparkContext methods
> (for the 3 Java RDD types), not 11 methods.
> The only difference for callers in Spark 3 would be that {{sc.union(Seq(rdd1,
> rdd2))}} now has to be {{sc.union(rdd1, rdd2)}} (simpler) or
> {{sc.union(Seq(rdd1, rdd2): _*)}}
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