Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/13592#discussion_r67763740
--- Diff: docs/sql-programming-guide.md ---
@@ -12,130 +12,129 @@ title: Spark SQL and DataFrames
Spark SQL is a Spark module for structured data processing. Unlike the
basic Spark RDD API, the interfaces provided
by Spark SQL provide Spark with more information about the structure of
both the data and the computation being performed. Internally,
Spark SQL uses this extra information to perform extra optimizations.
There are several ways to
-interact with Spark SQL including SQL, the DataFrames API and the Datasets
API. When computing a result
+interact with Spark SQL including SQL and the Dataset API. When computing
a result
--- End diff --
Seems we should still mention DataFrame at here?
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