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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2019/05/31 21:16:00 UTC
[jira] [Created] (SPARK-27911) PySpark Packages should
automatically choose correct scala version
Michael Armbrust created SPARK-27911:
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Summary: PySpark Packages should automatically choose correct scala version
Key: SPARK-27911
URL: https://issues.apache.org/jira/browse/SPARK-27911
Project: Spark
Issue Type: New Feature
Components: PySpark
Affects Versions: 2.4.3
Reporter: Michael Armbrust
Today, users of pyspark (and Scala) need to manually specify the version of Scala that their Spark installation is using when adding a Spark package to their application. This extra configuration confusing to users who may not even know which version of Scala they are using (for example, if they installed Spark using {{pip}}). The confusion here is exacerbated by releases in Spark that have changed the default from {{2.11}} -> {{2.12}} -> {{2.11}}.
https://spark.apache.org/releases/spark-release-2-4-2.html
https://spark.apache.org/releases/spark-release-2-4-3.html
Since Spark can know which version of Scala it was compiled for, we should give users the option to automatically choose the correct version. This could be as simple as a substitution for {{$scalaVersion}} or something when resolving a package (similar to SBTs support for automatically handling scala dependencies).
Here are some concrete examples of users getting it wrong and getting confused:
https://github.com/delta-io/delta/issues/6
https://github.com/delta-io/delta/issues/63
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