Github user benmccann commented on a diff in the pull request:
https://github.com/apache/spark/pull/12757#discussion_r61498763
--- Diff: docs/programming-guide.md ---
@@ -24,7 +24,8 @@ along with if you launch Spark's interactive shell --
either `bin/spark-shell` f
<div data-lang="scala" markdown="1">
-Spark {{site.SPARK_VERSION}} uses Scala {{site.SCALA_BINARY_VERSION}}. To
write
+Spark {{site.SPARK_VERSION}} is built and distributed to work with Scala
{{site.SCALA_BINARY_VERSION}}
+by default. (Spark can be built to work with other versions of Scala,
too.) To write
--- End diff --
Ahhh, that's super helpful and would be good to know that what's built in
Maven is different than what you use to run a cluster. Is this a client-server
setup? Like can you use the 2.11 artifacts from Maven in a Spark client and run
on a 2.10 cluster?
Maybe it'd be better to say "The Spark {{site.SPARK_VERSION}} cluster is
built and distributed". My employer maintains the cluster. I just deal with
artifacts from Maven. So in my eyes everything was supported equally in both
versions since I could find both versions in Maven, but now I see that I'm only
seeing half the puzzle. I don't have a good understanding from this portion of
how they fit together.
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