Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/1774#discussion_r15790226
--- Diff: docs/sql-programming-guide.md ---
@@ -152,6 +152,41 @@ val teenagers = sqlContext.sql("SELECT name FROM
people WHERE age >= 13 AND age
teenagers.map(t => "Name: " + t(0)).collect().foreach(println)
{% endhighlight %}
+Another way to turns an RDD to table is to use `applySchema`. Here is an
example.
--- End diff --
It would be good to provide some motivation here. Perhaps talk about
programmatically creating a schema when it is not possible to statically define
classes ahead of time.
Related: an example where the schema is determined statically might make
more sense (i.e. read from the first row of the file?) but maybe that is too
complicated...
Minor: Usually we just say "For example".
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