Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/15292#discussion_r81804799
--- Diff: docs/sql-programming-guide.md ---
@@ -1463,7 +1478,7 @@ Prior to Spark 1.3 there were separate Java
compatible classes (`JavaSQLContext`
that mirrored the Scala API. In Spark 1.3 the Java API and Scala API have
been unified. Users
of either language should use `SQLContext` and `DataFrame`. In general
theses classes try to
use types that are usable from both languages (i.e. `Array` instead of
language specific collections).
-In some cases where no common type exists (e.g., for passing in closures
or Maps) function overloading
+In some cases where no common type exists (e.g.,, for passing in closures
or Maps) function overloading
--- End diff --
Two commas?
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