Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/13577#discussion_r66529939
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala ---
@@ -346,15 +346,68 @@ class SQLContext private[sql](val sparkSession:
SparkSession)
sparkSession.createDataFrame(rowRDD, schema, needsConversion)
}
-
+ /**
+ * Creates a [[Dataset]] from a local Seq of data of a given type. This
method requires an
+ * encoder (to convert a JVM object of type `T` to and from the internal
Spark SQL representation)
+ * that is generally created automatically through implicits from a
`SparkSession`, or can be
+ * created explicitly by calling static methods on [[Encoders]].
+ *
+ * == Example ==
--- End diff --
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