Github user HyukjinKwon commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16013#discussion_r89727059
  
    --- Diff: 
mllib/src/main/scala/org/apache/spark/ml/feature/SQLTransformer.scala ---
    @@ -33,9 +33,9 @@ import org.apache.spark.sql.types.StructType
      * use Spark SQL built-in function and UDFs to operate on these selected 
columns.
      * For example, [[SQLTransformer]] supports statements like:
      * {{{
    - *  - SELECT a, a + b AS a_b FROM __THIS__
    - *  - SELECT a, SQRT(b) AS b_sqrt FROM __THIS__ where a > 5
    - *  - SELECT a, b, SUM(c) AS c_sum FROM __THIS__ GROUP BY a, b
    + *  SELECT a, a + b AS a_b FROM __THIS__
    + *  SELECT a, SQRT(b) AS b_sqrt FROM __THIS__ where a > 5
    + *  SELECT a, b, SUM(c) AS c_sum FROM __THIS__ GROUP BY a, b
    --- End diff --
    
    - Java
      ![2016-11-28 2 28 
18](https://cloud.githubusercontent.com/assets/6477701/20657138/f208e7ae-b576-11e6-82ee-bb709ee03c2f.png)
    
    - Scala
      ![2016-11-28 2 28 
24](https://cloud.githubusercontent.com/assets/6477701/20657139/f35c7242-b576-11e6-9a4e-1b68943ad4b1.png)



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