Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/16997#discussion_r102134319
--- Diff: docs/sql-programming-guide.md ---
@@ -297,6 +297,9 @@ reflection and become the names of the columns. Case
classes can also be nested
types such as `Seq`s or `Array`s. This RDD can be implicitly converted to
a DataFrame and then be
registered as a table. Tables can be used in subsequent SQL statements.
+Spark Encoders are used to convert a JVM object to Spark SQL
representation. To create dataset, spark requires an encoder which takes the
form of <b>Encoder[T]</b> where <b>T</b> is the type which has to be encoded.
Creation of a dataset with a custom type of object, may result into
<b>java.lang.UnsupportedOperationException: No Encoder found for
Object-Name</b>.
--- End diff --
It is trivial.. but maybe `spark` -> `Spark`? I am not an expert in grammar
but up to my knowledge, capitalizing a proper noun is correct.
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