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

    https://github.com/apache/spark/pull/21370#discussion_r195316251
  
    --- Diff: docs/configuration.md ---
    @@ -456,6 +456,33 @@ Apart from these, the following properties are also 
available, and may be useful
         from JVM to Python worker for every task.
       </td>
     </tr>
    +<tr>
    +  <td><code>spark.sql.repl.eagerEval.enabled</code></td>
    +  <td>false</td>
    +  <td>
    +    Enable eager evaluation or not. If true and the REPL you are using 
supports eager evaluation,
    --- End diff --
    
    That is true. We are not adding the eager execution in the our 
Dataset/DataFrame. We just rely on the REPL to trigger it.  We need an update 
on the parameter description to emphasize it.


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