Github user xuanyuanking commented on a diff in the pull request:
https://github.com/apache/spark/pull/21370#discussion_r189567350
--- Diff: docs/configuration.md ---
@@ -456,6 +456,29 @@ 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.jupyter.eagerEval.enabled</code></td>
+ <td>false</td>
+ <td>
+ Open eager evaluation on jupyter or not. If yes, dataframe will be ran
automatically
+ and html table will feedback the queries user have defined (see
+ <a
href="https://issues.apache.org/jira/browse/SPARK-24215";>SPARK-24215</a> for
more details).
+ </td>
+</tr>
+<tr>
+ <td><code>spark.jupyter.default.showRows</code></td>
+ <td>20</td>
+ <td>
+ Default number of rows in jupyter html table.
+ </td>
+</tr>
+<tr>
+ <td><code>spark.jupyter.default.truncate</code></td>
--- End diff --
Yep, change to spark.jupyter.eagerEval.truncate
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