Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/999#discussion_r13891473
--- Diff: docs/sql-programming-guide.md ---
@@ -91,14 +91,33 @@ of its decedents. To create a basic SQLContext, all
you need is a SparkContext.
{% highlight python %}
from pyspark.sql import SQLContext
-sqlCtx = SQLContext(sc)
+sqlContext = SQLContext(sc)
{% endhighlight %}
</div>
</div>
-## Running SQL on RDDs
+# Data Sources
+
+<div class="codetabs">
+<div data-lang="scala" markdown="1">
+Spark SQL supports operating on a variety of data sources though the
SchemaRDD interface.
--- End diff --
best to put <code> ... </code> around SchemaRDD
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