Docs.

Author: Marcelo Vanzin

docs/configuration.md

@@ -2114,6 +2114,26 @@ Apart from these, the following properties are also available, and may be useful
     <a href="job-scheduling.html#resource-allocation-policy">description</a>.
   </td>
 </tr>
+<tr>
+  <td><code>spark.dynamicAllocation.shuffleTracking.enabled</code></td>
+  <td><code>false</code></td>
+  <td>
+    Experimental. Enables shuffle file tracking for executors, which allows dynamic allocation
+    without the need for an external shuffle service. This option will try to keep alive executors
+    that are storing shuffle data for active jobs.
+  </td>
+</tr>
+<tr>
+  <td><code>spark.dynamicAllocation.shuffleTimeout</code></td>
+  <td><code>infinity</code></td>
+  <td>
+    When shuffle tracking is enabled, controls the timeout for executors that are holding shuffle
+    data. The default value means that Spark will rely on the shuffles being garbage collected to be
+    able to release executors. If for some reason garbage collection is not cleaning up shuffles
+    quickly enough, this option can be used to control when to time out executors even when they are
+    storing shuffle data.
+  </td>
+</tr>
 </table>
 
 ### Thread Configurations