Github user BenFradet commented on a diff in the pull request:
https://github.com/apache/spark/pull/10060#discussion_r47007845
--- Diff: docs/sql-programming-guide.md ---
@@ -428,6 +461,45 @@ df <- sql(sqlContext, "SELECT * FROM table")
</div>
+## Creating Datasets
+
+Datasets are similar to RDDs, however, instead of using Java Serialization
or Kryo they use
+a specialized [Encoder](api/scala/index.html#org.apache.spark.sql.Encoder)
to serialize the objects
+for processing or transmitting over the network. While both encoders and
standard serialization are
+responsible for during an object into bytes, encoders are code generated
dynamically and use a format
+that allows Spark to perform many operations like filtering, sorting and
hashing without deserialzing
+the back into an object.
--- End diff --
the **bytes** back into an object?
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