Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/21553#discussion_r198300614
--- Diff: docs/configuration.md ---
@@ -456,33 +456,6 @@ 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,
- Dataset will be ran automatically. The HTML table which generated by
<code>_repl_html_</code>
- called by notebooks like Jupyter will feedback the queries user have
defined. For plain Python
- REPL, the output will be shown like <code>dataframe.show()</code>
- (see <a
href="https://issues.apache.org/jira/browse/SPARK-24215";>SPARK-24215</a> for
more details).
- </td>
-</tr>
-<tr>
- <td><code>spark.sql.repl.eagerEval.maxNumRows</code></td>
- <td>20</td>
- <td>
- Default number of rows in eager evaluation output HTML table generated
by <code>_repr_html_</code> or plain text,
- this only take effect when
<code>spark.sql.repl.eagerEval.enabled</code> is set to true.
- </td>
-</tr>
-<tr>
- <td><code>spark.sql.repl.eagerEval.truncate</code></td>
- <td>20</td>
- <td>
- Default number of truncate in eager evaluation output HTML table
generated by <code>_repr_html_</code> or
- plain text, this only take effect when
<code>spark.sql.repl.eagerEval.enabled</code> set to true.
- </td>
-</tr>
--- End diff --
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