[ https://issues.apache.org/jira/browse/SPARK-14643?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiao Li reopened SPARK-14643: ----------------------------- Assignee: (was: Josh Rosen) > Remove overloaded methods which become ambiguous in Scala 2.12 > -------------------------------------------------------------- > > Key: SPARK-14643 > URL: https://issues.apache.org/jira/browse/SPARK-14643 > Project: Spark > Issue Type: Task > Components: Build, Project Infra > Affects Versions: 2.4.0 > Reporter: Josh Rosen > Priority: Major > > Spark 1.x's Dataset API runs into subtle source incompatibility problems for > Java 8 and Scala 2.12 users when Spark is built against Scala 2.12. In a > nutshell, the current API has overloaded methods whose signatures are > ambiguous when resolving calls that use the Java 8 lambda syntax (only if > Spark is build against Scala 2.12). > This issue is somewhat subtle, so there's a full writeup at > https://docs.google.com/document/d/1P_wmH3U356f079AYgSsN53HKixuNdxSEvo8nw_tgLgM/edit?usp=sharing > which describes the exact circumstances under which the current APIs are > problematic. The writeup also proposes a solution which involves the removal > of certain overloads only in Scala 2.12 builds of Spark and the introduction > of implicit conversions for retaining source compatibility. > We don't need to implement any of these changes until we add Scala 2.12 > support since the changes must only be applied when building against Scala > 2.12 and will be done via traits + shims which are mixed in via > per-Scala-version source directories (like how we handle the > Scala-version-specific parts of the REPL). For now, this JIRA acts as a > placeholder so that the parent JIRA reflects the complete set of tasks which > need to be finished for 2.12 support. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org